2025-09-07T09:40:55.7271931Z Current runner version: '2.328.0' 2025-09-07T09:40:55.7277227Z Runner name: 'i-0b7d0f7dc0527ca9b-1004' 2025-09-07T09:40:55.7278091Z Runner group name: 'default' 2025-09-07T09:40:55.7278930Z Machine name: '3d0a5edcbb0c' 2025-09-07T09:40:55.7281633Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T09:40:55.7283635Z Contents: read 2025-09-07T09:40:55.7284194Z Metadata: read 2025-09-07T09:40:55.7284694Z ##[endgroup] 2025-09-07T09:40:55.7286788Z Secret source: Actions 2025-09-07T09:40:55.7287482Z Prepare workflow directory 2025-09-07T09:40:55.8035614Z Prepare all required actions 2025-09-07T09:40:55.8070668Z Getting action download info 2025-09-07T09:40:56.1600924Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T09:41:09.6490618Z Download action repository 'pytorch/pytorch@main' (SHA:7a83cf430e97d83d6fb14880b9049e77ff725685) 2025-09-07T09:41:20.0986021Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T09:41:20.4426441Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T09:41:20.8220628Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T09:41:21.0865057Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T09:41:21.5101416Z Getting action download info 2025-09-07T09:41:21.6209415Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T09:41:21.9523972Z Getting action download info 2025-09-07T09:41:22.0668857Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T09:41:22.3746917Z Getting action download info 2025-09-07T09:41:22.5060743Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T09:41:22.8465548Z Getting action download info 2025-09-07T09:41:23.0040892Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T09:41:23.0044517Z ##[group] Inputs 2025-09-07T09:41:23.0044869Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:41:23.0050024Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T09:41:23.0055736Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:41:23.0056435Z sync-tag: 2025-09-07T09:41:23.0057242Z timeout-minutes: 1440 2025-09-07T09:41:23.0057461Z use-gha: 2025-09-07T09:41:23.0058310Z dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T09:41:23.0059189Z s3-bucket: gha-artifacts 2025-09-07T09:41:23.0059389Z aws-role-to-assume: 2025-09-07T09:41:23.0059900Z disable-monitor: false 2025-09-07T09:41:23.0060165Z monitor-log-interval: 15 2025-09-07T09:41:23.0060588Z monitor-data-collect-interval: 4 2025-09-07T09:41:23.0060819Z ##[endgroup] 2025-09-07T09:41:23.0061128Z Complete job name: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T09:41:23.0522070Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T09:41:23.0522737Z with: 2025-09-07T09:41:23.0523217Z github-secret: *** 2025-09-07T09:41:23.0523743Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T09:41:23.0524291Z activate-with-label: false 2025-09-07T09:41:23.0524491Z label: with-ssh 2025-09-07T09:41:23.0524679Z remove-existing-keys: true 2025-09-07T09:41:23.0524877Z fail-silently: true 2025-09-07T09:41:23.0525269Z env: 2025-09-07T09:41:23.0525444Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:41:23.0525637Z ##[endgroup] 2025-09-07T09:41:23.1607021Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T09:41:23.1608172Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T09:41:23.1787414Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T09:41:23.1787789Z with: 2025-09-07T09:41:23.1787957Z no-sudo: true 2025-09-07T09:41:23.1788136Z submodules: recursive 2025-09-07T09:41:23.1788397Z fetch-depth: 0 2025-09-07T09:41:23.1788564Z env: 2025-09-07T09:41:23.1788723Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:41:23.1788929Z ##[endgroup] 2025-09-07T09:41:23.1864170Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:41:23.1864969Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:41:23.1883599Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:41:23.1883920Z env: 2025-09-07T09:41:23.1884077Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:41:23.1884274Z ##[endgroup] 2025-09-07T09:41:23.2033568Z ##[group]Run actions/checkout@v4 2025-09-07T09:41:23.2033827Z with: 2025-09-07T09:41:23.2034013Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:41:23.2034266Z fetch-depth: 0 2025-09-07T09:41:23.2034447Z submodules: recursive 2025-09-07T09:41:23.2034643Z show-progress: false 2025-09-07T09:41:23.2034837Z repository: pytorch/pytorch 2025-09-07T09:41:23.2035161Z token: *** 2025-09-07T09:41:23.2035562Z ssh-strict: true 2025-09-07T09:41:23.2035744Z ssh-user: git 2025-09-07T09:41:23.2035920Z persist-credentials: true 2025-09-07T09:41:23.2036129Z clean: true 2025-09-07T09:41:23.2036311Z sparse-checkout-cone-mode: true 2025-09-07T09:41:23.2036539Z fetch-tags: false 2025-09-07T09:41:23.2036710Z lfs: false 2025-09-07T09:41:23.2036880Z set-safe-directory: true 2025-09-07T09:41:23.2037076Z env: 2025-09-07T09:41:23.2037235Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:41:23.2037422Z ##[endgroup] 2025-09-07T09:41:23.2992400Z Syncing repository: pytorch/pytorch 2025-09-07T09:41:23.2993580Z ##[group]Getting Git version info 2025-09-07T09:41:23.2993948Z Working directory is '/home/david/_work/pytorch/pytorch' 2025-09-07T09:41:23.2994432Z [command]/usr/bin/git version 2025-09-07T09:41:23.3002809Z git version 2.50.1 2025-09-07T09:41:23.3027923Z ##[endgroup] 2025-09-07T09:41:23.3038770Z Temporarily overriding HOME='/home/david/_work/_temp/ab19080b-26e9-4f5f-aa3c-118566a3b9d7' before making global git config changes 2025-09-07T09:41:23.3039884Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T09:41:23.3043787Z [command]/usr/bin/git config --global --add safe.directory /home/david/_work/pytorch/pytorch 2025-09-07T09:41:23.3085463Z Deleting the contents of '/home/david/_work/pytorch/pytorch' 2025-09-07T09:41:23.3088669Z ##[group]Initializing the repository 2025-09-07T09:41:23.3092036Z [command]/usr/bin/git init /home/david/_work/pytorch/pytorch 2025-09-07T09:41:23.3141642Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T09:41:23.3142319Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T09:41:23.3143020Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T09:41:23.3143461Z hint: 2025-09-07T09:41:23.3143781Z hint: git config --global init.defaultBranch 2025-09-07T09:41:23.3144158Z hint: 2025-09-07T09:41:23.3144520Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T09:41:23.3145138Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T09:41:23.3145624Z hint: 2025-09-07T09:41:23.3145857Z hint: git branch -m 2025-09-07T09:41:23.3146129Z hint: 2025-09-07T09:41:23.3146509Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T09:41:23.3147173Z Initialized empty Git repository in /home/david/_work/pytorch/pytorch/.git/ 2025-09-07T09:41:23.3152557Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T09:41:23.3192528Z ##[endgroup] 2025-09-07T09:41:23.3193081Z ##[group]Disabling automatic garbage collection 2025-09-07T09:41:23.3195172Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T09:41:23.3225119Z ##[endgroup] 2025-09-07T09:41:23.3225563Z ##[group]Setting up auth 2025-09-07T09:41:23.3230799Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T09:41:23.3260903Z [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' || :" 2025-09-07T09:41:23.3514604Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:41:23.3544545Z [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' || :" 2025-09-07T09:41:23.3785152Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:41:23.3820642Z ##[endgroup] 2025-09-07T09:41:23.3821135Z ##[group]Fetching the repository 2025-09-07T09:41:23.3827855Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T09:42:04.1509238Z From https://github.com/pytorch/pytorch 2025-09-07T09:42:04.1509943Z * [new branch] 160583 -> origin/160583 2025-09-07T09:42:04.1511400Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T09:42:04.1512165Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T09:42:04.1512975Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T09:42:04.1513859Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T09:42:04.1514630Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T09:42:04.1516220Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T09:42:04.1517866Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T09:42:04.1520060Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T09:42:04.1522244Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T09:42:04.1523067Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T09:42:04.1524470Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T09:42:04.1526011Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T09:42:04.1527888Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T09:42:04.1529358Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T09:42:04.1531251Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T09:42:04.1532884Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T09:42:04.1534417Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T09:42:04.1536243Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T09:42:04.1537594Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T09:42:04.1539280Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T09:42:04.1541135Z * [new branch] addsimde -> origin/addsimde 2025-09-07T09:42:04.1543583Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T09:42:04.1545233Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T09:42:04.1546848Z * [new branch] adi/test -> origin/adi/test 2025-09-07T09:42:04.1548448Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T09:42:04.1549915Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T09:42:04.1551887Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T09:42:04.1553744Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T09:42:04.1554946Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T09:42:04.1556615Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T09:42:04.1559316Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T09:42:04.1561299Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T09:42:04.1562778Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T09:42:04.1565305Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T09:42:04.1566755Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T09:42:04.1568513Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T09:42:04.1570459Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T09:42:04.1572056Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T09:42:04.1573509Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T09:42:04.1575234Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T09:42:04.1576581Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T09:42:04.1578267Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T09:42:04.1579743Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T09:42:04.1581714Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T09:42:04.1583180Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T09:42:04.1584896Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T09:42:04.1586353Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T09:42:04.1588146Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T09:42:04.1590025Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T09:42:04.1592215Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T09:42:04.1593532Z * [new branch] 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origin/xmfan/ca_1051b93192 2025-09-07T09:42:05.0619935Z * [new branch] xmfan/ca_1a722f62c248391fc4a542e8851a5559aa356ae8 -> origin/xmfan/ca_1a722f62c248391fc4a542e8851a5559aa356ae8 2025-09-07T09:42:05.0621503Z * [new branch] xmfan/ca_5a2be192d1 -> origin/xmfan/ca_5a2be192d1 2025-09-07T09:42:05.0623039Z * [new branch] xmfan/ca_9d59b516e9 -> origin/xmfan/ca_9d59b516e9 2025-09-07T09:42:05.0624755Z * [new branch] xmfan/ca_api -> origin/xmfan/ca_api 2025-09-07T09:42:05.0626237Z * [new branch] xmfan/ca_apr8 -> origin/xmfan/ca_apr8 2025-09-07T09:42:05.0627860Z * [new branch] xmfan/ca_base -> origin/xmfan/ca_base 2025-09-07T09:42:05.0629406Z * [new branch] xmfan/ca_cudagraphs -> origin/xmfan/ca_cudagraphs 2025-09-07T09:42:05.0631110Z * [new branch] xmfan/ca_dynamic -> origin/xmfan/ca_dynamic 2025-09-07T09:42:05.0632857Z * [new branch] xmfan/ca_fix_dyn -> origin/xmfan/ca_fix_dyn 2025-09-07T09:42:05.0634369Z * [new branch] xmfan/ca_fix_lowering -> origin/xmfan/ca_fix_lowering 2025-09-07T09:42:05.0635927Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T09:42:05.0637304Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T09:42:05.0638855Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T09:42:05.0640666Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T09:42:05.0642481Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T09:42:05.0643976Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T09:42:05.0645511Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T09:42:05.0647078Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T09:42:05.0648676Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T09:42:05.0650349Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T09:42:05.0652030Z * [new branch] 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2025-09-07T09:42:05.0669859Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T09:42:05.0671707Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T09:42:05.0673181Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T09:42:05.0675055Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T09:42:05.0676638Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T09:42:05.0677966Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T09:42:05.0679562Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T09:42:05.0681427Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T09:42:05.0683130Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T09:42:05.0685577Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T09:42:05.0687124Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T09:42:05.0688724Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T09:42:05.0690682Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T09:42:05.0693182Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T09:42:05.0694667Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T09:42:05.0696086Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T09:42:05.0698279Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T09:42:05.0700003Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T09:42:05.0701717Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T09:42:05.0703338Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T09:42:05.0704934Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T09:42:05.0706450Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T09:42:05.0707979Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T09:42:05.0709524Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T09:42:05.0711845Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T09:42:05.0713595Z * [new branch] zb2p -> origin/zb2p 2025-09-07T09:42:05.0715525Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T09:42:05.0717580Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T09:42:05.0720469Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T09:42:05.0723238Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T09:42:05.0725654Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T09:42:05.0727019Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T09:42:05.0728338Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T09:42:05.0729878Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T09:42:05.0730681Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T09:42:05.0731729Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T09:42:05.0732663Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T09:42:05.0733406Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T09:42:05.0734382Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T09:42:05.0735341Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T09:42:05.0736305Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T09:42:05.0737182Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T09:42:05.0738119Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T09:42:05.0739267Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T09:42:05.0740038Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T09:42:05.0741247Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T09:42:05.0742384Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T09:42:05.0743379Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T09:42:05.0744240Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T09:42:05.0745129Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T09:42:05.0746226Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T09:42:05.0747106Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T09:42:05.0748359Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T09:42:05.0749508Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T09:42:05.0750524Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T09:42:05.0751516Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T09:42:05.0752422Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T09:42:05.0753137Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T09:42:05.0754082Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T09:42:05.0754955Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T09:42:05.0755808Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T09:42:05.0756680Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T09:42:05.0757574Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T09:42:05.0758439Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T09:42:05.0759311Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T09:42:05.0760536Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T09:42:05.0762044Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T09:42:05.0763017Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T09:42:05.0764152Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T09:42:05.0764794Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T09:42:05.0766339Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T09:42:05.0767473Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T09:42:05.0768631Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T09:42:05.0769565Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T09:42:05.0770598Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T09:42:05.0771890Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T09:42:05.0772894Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T09:42:05.0773765Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T09:42:05.0774756Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T09:42:05.0775818Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T09:42:05.0776948Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T09:42:05.0778089Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T09:42:05.0778960Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T09:42:05.0779814Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T09:42:05.0780909Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T09:42:05.0781887Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T09:42:05.0782609Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T09:42:05.0783700Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T09:42:05.0784508Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T09:42:05.0785368Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T09:42:05.0786175Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T09:42:05.0787031Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T09:42:05.0787843Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T09:42:05.0788720Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T09:42:05.0789597Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T09:42:05.0790893Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T09:42:05.0791857Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T09:42:05.0792857Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T09:42:05.0793737Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T09:42:05.0794662Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T09:42:05.0795513Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T09:42:05.0796549Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T09:42:05.0797415Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T09:42:05.0798445Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T09:42:05.0799328Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T09:42:05.0800326Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T09:42:05.0801815Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T09:42:05.0802702Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T09:42:05.0803778Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T09:42:05.0804936Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T09:42:05.0805845Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T09:42:05.0806887Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T09:42:05.0808036Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T09:42:05.0809118Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T09:42:05.0810345Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T09:42:05.0811463Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T09:42:05.0812416Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T09:42:05.0813470Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T09:42:05.0814363Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T09:42:05.0815320Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-09-07T09:42:05.0816440Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T09:42:05.0817949Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T09:42:05.0818938Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T09:42:05.0819851Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T09:42:05.0820953Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T09:42:05.0821952Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T09:42:05.0822970Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T09:42:05.0823943Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T09:42:05.0824875Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T09:42:05.0825760Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T09:42:05.0826817Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T09:42:05.0827860Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T09:42:05.0828797Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T09:42:05.0830057Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T09:42:05.0831261Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T09:42:05.0832185Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T09:42:05.0833110Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T09:42:05.0834046Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T09:42:05.0834976Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T09:42:05.0836014Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T09:42:05.0837459Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T09:42:05.0838013Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T09:42:05.0839074Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T09:42:05.0840048Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T09:42:05.0841253Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T09:42:05.0842156Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T09:42:05.0843207Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T09:42:05.0844269Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T09:42:05.0845264Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T09:42:05.0846276Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T09:42:05.0847489Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T09:42:05.0848458Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T09:42:05.0849657Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T09:42:05.0850776Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T09:42:05.0851853Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T09:42:05.0852822Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T09:42:05.0853938Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T09:42:05.0854872Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T09:42:05.0855876Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T09:42:05.0856830Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T09:42:05.0857902Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T09:42:05.0859259Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T09:42:05.0860182Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T09:42:05.0861413Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T09:42:05.0862381Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T09:42:05.0863397Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T09:42:05.0864441Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T09:42:05.0865361Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T09:42:05.0866372Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T09:42:05.0867303Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T09:42:05.0868309Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T09:42:05.0869301Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T09:42:05.0870602Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T09:42:05.0871759Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T09:42:05.0872792Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T09:42:05.0873770Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T09:42:05.0874833Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T09:42:05.0875986Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T09:42:05.0876913Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T09:42:05.0877797Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T09:42:05.0878811Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T09:42:05.0879959Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T09:42:05.0881193Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T09:42:05.0882306Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T09:42:05.0883497Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T09:42:05.0884478Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T09:42:05.0885478Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T09:42:05.0886492Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T09:42:05.0887536Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T09:42:05.0888516Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T09:42:05.0889612Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T09:42:05.0890803Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T09:42:05.0891898Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T09:42:05.0892906Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T09:42:05.0893936Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T09:42:05.0894938Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T09:42:05.0895952Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T09:42:05.0896968Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T09:42:05.0897990Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T09:42:05.0899012Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T09:42:05.0899999Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T09:42:05.0901252Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T09:42:05.0902292Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T09:42:05.0903528Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T09:42:05.0904547Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T09:42:05.0905561Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T09:42:05.0906588Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T09:42:05.0907834Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T09:42:05.0908876Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T09:42:05.0909905Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T09:42:05.0911159Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T09:42:05.0912257Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T09:42:05.0913284Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T09:42:05.0914725Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T09:42:05.0915668Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T09:42:05.0916711Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T09:42:05.0917743Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T09:42:05.0918826Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T09:42:05.0919875Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T09:42:05.0921139Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T09:42:05.0922163Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T09:42:05.0923196Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T09:42:05.0924328Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T09:42:05.0925409Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T09:42:05.0926435Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T09:42:05.0927492Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T09:42:05.0928554Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T09:42:05.0929651Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T09:42:05.0930875Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T09:42:05.0932026Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T09:42:05.0933194Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T09:42:05.0934306Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T09:42:05.0935336Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T09:42:05.0936392Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T09:42:05.0937484Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T09:42:05.0938739Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T09:42:05.0939833Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T09:42:05.0941077Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T09:42:05.0942318Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T09:42:05.0943579Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T09:42:05.0944685Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T09:42:05.0945914Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T09:42:05.0946990Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T09:42:05.0948090Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T09:42:05.0949164Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T09:42:05.0950332Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T09:42:05.0951579Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T09:42:05.0952632Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T09:42:05.0953685Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T09:42:05.0954792Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T09:42:05.0956067Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T09:42:05.0957032Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T09:42:05.0958144Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T09:42:05.0959215Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T09:42:05.0960472Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T09:42:05.0961723Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T09:42:05.0962809Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T09:42:05.0963978Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T09:42:05.0965112Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T09:42:05.0966221Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T09:42:05.0967427Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T09:42:05.0968526Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T09:42:05.0969655Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T09:42:05.0971264Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T09:42:05.0972365Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T09:42:05.0973479Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T09:42:05.0974594Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T09:42:05.0975692Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T09:42:05.0976801Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T09:42:05.0978124Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T09:42:05.0979396Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T09:42:05.0980752Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T09:42:05.0982043Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T09:42:05.0982988Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T09:42:05.0983943Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T09:42:05.0985072Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T09:42:05.0985924Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T09:42:05.0986770Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T09:42:05.0987603Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T09:42:05.0988411Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T09:42:05.0989221Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T09:42:05.0990600Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T09:42:05.0991532Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T09:42:05.0992673Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T09:42:05.0994004Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T09:42:05.0994761Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T09:42:05.0996349Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T09:42:05.0996996Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T09:42:05.0997930Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T09:42:05.0998797Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T09:42:05.0999644Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T09:42:05.1000915Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T09:42:05.1001948Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T09:42:05.1002895Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T09:42:05.1004018Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T09:42:05.1005116Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T09:42:05.1006558Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T09:42:05.1007753Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T09:42:05.1008782Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T09:42:05.1009929Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T09:42:05.1011295Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T09:42:05.1012451Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T09:42:05.1013624Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T09:42:05.1014746Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T09:42:05.1015611Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T09:42:05.1016496Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T09:42:05.1017334Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T09:42:05.1018210Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T09:42:05.1019087Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T09:42:05.1019935Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T09:42:05.1021130Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T09:42:05.1022032Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T09:42:05.1022963Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T09:42:05.1024004Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T09:42:05.1025149Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T09:42:05.1026020Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T09:42:05.1027234Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T09:42:05.1028106Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T09:42:05.1029111Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T09:42:05.1029955Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T09:42:05.1031009Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T09:42:05.1031876Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T09:42:05.1033113Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T09:42:05.1033738Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T09:42:05.1034907Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T09:42:05.1035795Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T09:42:05.1036641Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T09:42:05.1037505Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T09:42:05.1038466Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T09:42:05.1039383Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T09:42:05.1040352Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T09:42:05.1041357Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T09:42:05.1042625Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T09:42:05.1043690Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T09:42:05.1045113Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T09:42:05.1045793Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T09:42:05.1046725Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T09:42:05.1047770Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T09:42:05.1048818Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T09:42:05.1049827Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T09:42:05.1051085Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T09:42:05.1052084Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T09:42:05.1053053Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T09:42:05.1054045Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T09:42:05.1055091Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T09:42:05.1056453Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T09:42:05.1057150Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T09:42:05.1058206Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T09:42:05.1059192Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T09:42:05.1060329Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T09:42:05.1062203Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T09:42:05.1063652Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T09:42:05.1064698Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T09:42:05.1065922Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T09:42:05.1066769Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T09:42:05.1067622Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T09:42:05.1068470Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T09:42:05.1069178Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T09:42:05.1070680Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T09:42:05.1071557Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T09:42:05.1072374Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T09:42:05.1073221Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T09:42:05.1074075Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T09:42:05.1074943Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T09:42:05.1075797Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T09:42:05.1076647Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T09:42:05.1077547Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T09:42:05.1078395Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T09:42:05.1079271Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T09:42:05.1080177Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T09:42:05.1081273Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T09:42:05.1082095Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T09:42:05.1083081Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T09:42:05.1083958Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T09:42:05.1084829Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T09:42:05.1085894Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T09:42:05.1086798Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T09:42:05.1087824Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T09:42:05.1088700Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T09:42:05.1089658Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T09:42:05.1090656Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T09:42:05.1091712Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T09:42:05.1092573Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T09:42:05.1093472Z * [new tag] ciflow/trunk/160483 -> ciflow/trunk/160483 2025-09-07T09:42:05.1094327Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T09:42:05.1095244Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T09:42:05.1096173Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T09:42:05.1097042Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T09:42:05.1097927Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T09:42:05.1098969Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T09:42:05.1099884Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T09:42:05.1101260Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T09:42:05.1102300Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T09:42:05.1103365Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T09:42:05.1104306Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T09:42:05.1105429Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T09:42:05.1106093Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T09:42:05.1107060Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T09:42:05.1107962Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T09:42:05.1108860Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T09:42:05.1109758Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T09:42:05.1110973Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T09:42:05.1111884Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T09:42:05.1113085Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T09:42:05.1114020Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T09:42:05.1114989Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T09:42:05.1115942Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T09:42:05.1116837Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T09:42:05.1117780Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T09:42:05.1118668Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T09:42:05.1119670Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T09:42:05.1120862Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T09:42:05.1121904Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T09:42:05.1122795Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T09:42:05.1123760Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T09:42:05.1124639Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T09:42:05.1125593Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T09:42:05.1126525Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T09:42:05.1127450Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T09:42:05.1128345Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T09:42:05.1129332Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T09:42:05.1130605Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T09:42:05.1131625Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T09:42:05.1132537Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T09:42:05.1133535Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T09:42:05.1134438Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T09:42:05.1135398Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T09:42:05.1136342Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T09:42:05.1137298Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T09:42:05.1138226Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T09:42:05.1139322Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T09:42:05.1140367Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T09:42:05.1141529Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T09:42:05.1142786Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T09:42:05.1143694Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T09:42:05.1144536Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T09:42:05.1145574Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T09:42:05.1146638Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T09:42:05.1147646Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T09:42:05.1148583Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T09:42:05.1149587Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T09:42:05.1150730Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T09:42:05.1151780Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T09:42:05.1152732Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T09:42:05.1153723Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T09:42:05.1154690Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T09:42:05.1155747Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T09:42:05.1156628Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T09:42:05.1157628Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T09:42:05.1158665Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T09:42:05.1159637Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T09:42:05.1160804Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T09:42:05.1161913Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T09:42:05.1162859Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T09:42:05.1163842Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T09:42:05.1164841Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T09:42:05.1166098Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T09:42:05.1167211Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T09:42:05.1168205Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T09:42:05.1169197Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T09:42:05.1170305Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T09:42:05.1171491Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T09:42:05.1172475Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T09:42:05.1173433Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T09:42:05.1174437Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T09:42:05.1175461Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T09:42:05.1176552Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T09:42:05.1177598Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T09:42:05.1178983Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T09:42:05.1180116Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T09:42:05.1181664Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T09:42:05.1182678Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T09:42:05.1183823Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T09:42:05.1184619Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T09:42:05.1185633Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T09:42:05.1186472Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T09:42:05.1187326Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T09:42:05.1188279Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T09:42:05.1189261Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T09:42:05.1190092Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T09:42:05.1191248Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T09:42:05.1192225Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T09:42:05.1193363Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T09:42:05.1194284Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T09:42:05.1195086Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T09:42:05.1196029Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T09:42:05.1196867Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T09:42:05.1197710Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T09:42:05.1198781Z * [new tag] cslpull75 -> cslpull75 2025-09-07T09:42:05.1199736Z * [new tag] cslpull76 -> cslpull76 2025-09-07T09:42:05.1200820Z * [new tag] cslpull77 -> cslpull77 2025-09-07T09:42:05.1201822Z * [new tag] cslpull78 -> cslpull78 2025-09-07T09:42:05.1202723Z * [new tag] cslpull79 -> cslpull79 2025-09-07T09:42:05.1203707Z * [new tag] cslpull80 -> cslpull80 2025-09-07T09:42:05.1204765Z * [new tag] cslpull81 -> cslpull81 2025-09-07T09:42:05.1205700Z * [new tag] cslpull82 -> cslpull82 2025-09-07T09:42:05.1206622Z * [new tag] cslpull83 -> cslpull83 2025-09-07T09:42:05.1207539Z * [new tag] cslpull84 -> cslpull84 2025-09-07T09:42:05.1208443Z * [new tag] cslpull85 -> cslpull85 2025-09-07T09:42:05.1209376Z * [new tag] cslpull86 -> cslpull86 2025-09-07T09:42:05.1210507Z * [new tag] cslpull87 -> cslpull87 2025-09-07T09:42:05.1211588Z * [new tag] cslpull88 -> cslpull88 2025-09-07T09:42:05.1212489Z * [new tag] cslpull89 -> cslpull89 2025-09-07T09:42:05.1213283Z * [new tag] cslpull90 -> cslpull90 2025-09-07T09:42:05.1214652Z * [new tag] cslpull91 -> cslpull91 2025-09-07T09:42:05.1215568Z * [new tag] cslpull92 -> cslpull92 2025-09-07T09:42:05.1216500Z * [new tag] flight_5 -> flight_5 2025-09-07T09:42:05.1217553Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T09:42:05.1218575Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T09:42:05.1219491Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T09:42:05.1220787Z * [new tag] forpull1 -> forpull1 2025-09-07T09:42:05.1222156Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T09:42:05.1223220Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T09:42:05.1224238Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T09:42:05.1225291Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T09:42:05.1226186Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T09:42:05.1227209Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T09:42:05.1228678Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T09:42:05.1229731Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T09:42:05.1230962Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T09:42:05.1232074Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T09:42:05.1232934Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T09:42:05.1233945Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T09:42:05.1235170Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T09:42:05.1236186Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T09:42:05.1237304Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T09:42:05.1238364Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T09:42:05.1239498Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T09:42:05.1240733Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T09:42:05.1241791Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T09:42:05.1243148Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T09:42:05.1244175Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T09:42:05.1245225Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T09:42:05.1246343Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T09:42:05.1247319Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T09:42:05.1248386Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T09:42:05.1249432Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T09:42:05.1250668Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T09:42:05.1251852Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T09:42:05.1253045Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T09:42:05.1253817Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T09:42:05.1254966Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T09:42:05.1256046Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T09:42:05.1257063Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T09:42:05.1258137Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T09:42:05.1259600Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T09:42:05.1260862Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T09:42:05.1262276Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T09:42:05.1263174Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T09:42:05.1264393Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T09:42:05.1265388Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T09:42:05.1266429Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T09:42:05.1267435Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T09:42:05.1268559Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T09:42:05.1269601Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T09:42:05.1270835Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T09:42:05.1271967Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T09:42:05.1273083Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T09:42:05.1274129Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T09:42:05.1275141Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T09:42:05.1276246Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T09:42:05.1277330Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T09:42:05.1278498Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T09:42:05.1279592Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T09:42:05.1280834Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T09:42:05.1282221Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T09:42:05.1283055Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T09:42:05.1284159Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T09:42:05.1285194Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T09:42:05.1286299Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T09:42:05.1287986Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T09:42:05.1288739Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T09:42:05.1289483Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T09:42:05.1290683Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T09:42:05.1291738Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T09:42:05.1292701Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T09:42:05.1293848Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T09:42:05.1294819Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T09:42:05.1295666Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T09:42:05.1296887Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T09:42:05.1297992Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T09:42:05.1299071Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T09:42:05.1300190Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T09:42:05.1301488Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T09:42:05.1302567Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T09:42:05.1303776Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T09:42:05.1304849Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T09:42:05.1305992Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T09:42:05.1307126Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T09:42:05.1308352Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T09:42:05.1309406Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T09:42:05.1310551Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T09:42:05.1311962Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T09:42:05.1312965Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T09:42:05.1314084Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T09:42:05.1314965Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T09:42:05.1316205Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T09:42:05.1317319Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T09:42:05.1318487Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T09:42:05.1319606Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T09:42:05.1321461Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T09:42:05.1322686Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T09:42:05.1323694Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T09:42:05.1324930Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T09:42:05.1326064Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T09:42:05.1327152Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T09:42:05.1328302Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T09:42:05.1329459Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T09:42:05.1330668Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T09:42:05.1331880Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T09:42:05.1333007Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T09:42:05.1334177Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T09:42:05.1335283Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T09:42:05.1336414Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T09:42:05.1337523Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T09:42:05.1338660Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T09:42:05.1339877Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T09:42:05.1341744Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T09:42:05.1343112Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T09:42:05.1344765Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T09:42:05.1345725Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T09:42:05.1346881Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T09:42:05.1348000Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T09:42:05.1349220Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T09:42:05.1350453Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T09:42:05.1351692Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T09:42:05.1352827Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T09:42:05.1353967Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T09:42:05.1358414Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T09:42:05.1358741Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T09:42:05.1359057Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T09:42:05.1359382Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T09:42:05.1359722Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T09:42:05.1361303Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T09:42:05.1362345Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T09:42:05.1363305Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T09:42:05.1364431Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T09:42:05.1365459Z * [new tag] trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 -> trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 2025-09-07T09:42:05.1366576Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T09:42:05.1367653Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T09:42:05.1368796Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T09:42:05.1369779Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T09:42:05.1371148Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T09:42:05.1372373Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T09:42:05.1373745Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T09:42:05.1374812Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T09:42:05.1375960Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T09:42:05.1377166Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T09:42:05.1378316Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T09:42:05.1379574Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T09:42:05.1380985Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T09:42:05.1382213Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T09:42:05.1383442Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T09:42:05.1384771Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T09:42:05.1386009Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T09:42:05.1387185Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T09:42:05.1388336Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T09:42:05.1389534Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T09:42:05.1391278Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T09:42:05.1392475Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T09:42:05.1393708Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T09:42:05.1394904Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T09:42:05.1396134Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T09:42:05.1397347Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T09:42:05.1398690Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:42:05.1399864Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T09:42:05.1401223Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T09:42:05.1402806Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T09:42:05.1403975Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T09:42:05.1405066Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T09:42:05.1406281Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T09:42:05.1407692Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T09:42:05.1408716Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T09:42:05.1409783Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T09:42:05.1411338Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T09:42:05.1412563Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T09:42:05.1413699Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T09:42:05.1414800Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T09:42:05.1415864Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T09:42:05.1416952Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T09:42:05.1418132Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T09:42:05.1419356Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T09:42:05.1420736Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T09:42:05.1422021Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T09:42:05.1423177Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T09:42:05.1424321Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T09:42:05.1425495Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T09:42:05.1426614Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T09:42:05.1427809Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T09:42:05.1428930Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T09:42:05.1429908Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T09:42:05.1431271Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T09:42:05.1432465Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T09:42:05.1433615Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T09:42:05.1434737Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T09:42:05.1435907Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T09:42:05.1437069Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T09:42:05.1438484Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T09:42:05.1439510Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T09:42:05.1440935Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T09:42:05.1442145Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T09:42:05.1443270Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T09:42:05.1444449Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T09:42:05.1445592Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T09:42:05.1446715Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T09:42:05.1447856Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T09:42:05.1449055Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T09:42:05.1450196Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T09:42:05.1451598Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T09:42:05.1452732Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T09:42:05.1453856Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T09:42:05.1455078Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T09:42:05.1456384Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T09:42:05.1457489Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T09:42:05.1458982Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T09:42:05.1460193Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T09:42:05.1461675Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T09:42:05.1462915Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T09:42:05.1464041Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T09:42:05.1465154Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T09:42:05.1466165Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T09:42:05.1467308Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T09:42:05.1468476Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T09:42:05.1469583Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T09:42:05.1471189Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T09:42:05.1472236Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T09:42:05.1473363Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T09:42:05.1474490Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T09:42:05.1475619Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T09:42:05.1476833Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T09:42:05.1477987Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T09:42:05.1479037Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T09:42:05.1480338Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T09:42:05.1481636Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T09:42:05.1482749Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T09:42:05.1483870Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T09:42:05.1484929Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T09:42:05.1486129Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T09:42:05.1487220Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T09:42:05.1488329Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T09:42:05.1489515Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T09:42:05.1491059Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T09:42:05.1492279Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T09:42:05.1493463Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T09:42:05.1494593Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T09:42:05.1495859Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T09:42:05.1497076Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T09:42:05.1498237Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T09:42:05.1499350Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T09:42:05.1500544Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T09:42:05.1501941Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T09:42:05.1502864Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T09:42:05.1504311Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T09:42:05.1505954Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T09:42:05.1507160Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T09:42:05.1508408Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T09:42:05.1509496Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T09:42:05.1510718Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T09:42:05.1512345Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T09:42:05.1513402Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T09:42:05.1514444Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T09:42:05.1515561Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T09:42:05.1516669Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T09:42:05.1517896Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T09:42:05.1519118Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T09:42:05.1520429Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T09:42:05.1521740Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T09:42:05.1522856Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T09:42:05.1523944Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T09:42:05.1525162Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T09:42:05.1526142Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T09:42:05.1527304Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T09:42:05.1528465Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T09:42:05.1529577Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T09:42:05.1531056Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T09:42:05.1532274Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T09:42:05.1533266Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T09:42:05.1534584Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T09:42:05.1535764Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T09:42:05.1536957Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T09:42:05.1538169Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T09:42:05.1539368Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T09:42:05.1540748Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T09:42:05.1542011Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T09:42:05.1543291Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T09:42:05.1544499Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T09:42:05.1545623Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T09:42:05.1546734Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T09:42:05.1547913Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T09:42:05.1549167Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T09:42:05.1550513Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T09:42:05.1551650Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T09:42:05.1552528Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T09:42:05.1553584Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T09:42:05.1554511Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T09:42:05.1555530Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T09:42:05.1556456Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T09:42:05.1557401Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T09:42:05.1558394Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T09:42:05.1559410Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T09:42:05.1560570Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T09:42:05.1561632Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T09:42:05.1562592Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T09:42:05.1563520Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T09:42:05.1564566Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T09:42:05.1565706Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T09:42:05.1566809Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T09:42:05.1567835Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T09:42:05.1568829Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T09:42:05.1569947Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T09:42:05.1571472Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T09:42:05.1572326Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T09:42:05.1573376Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T09:42:05.1574232Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T09:42:05.1575342Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T09:42:05.1576391Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T09:42:05.1577605Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T09:42:05.1578789Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T09:42:05.1579927Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T09:42:05.1580994Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T09:42:05.1582127Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T09:42:05.1583126Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T09:42:05.1583995Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T09:42:05.1584864Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T09:42:05.1585955Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T09:42:05.1587132Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T09:42:05.1588239Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T09:42:05.1589377Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T09:42:05.1590686Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T09:42:05.1591868Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T09:42:05.1592713Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T09:42:05.1593631Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T09:42:05.1594774Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T09:42:05.1595815Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T09:42:05.1596930Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T09:42:05.1598076Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T09:42:05.1599204Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T09:42:05.1600391Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T09:42:05.1601739Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T09:42:05.1602591Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T09:42:05.1603485Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T09:42:05.1604391Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T09:42:05.1605621Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T09:42:05.1606741Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T09:42:05.1607933Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T09:42:05.1609049Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T09:42:05.1609939Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T09:42:05.1611343Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T09:42:05.1612436Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T09:42:05.1613487Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T09:42:05.1614584Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T09:42:05.1615965Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T09:42:05.1616643Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T09:42:05.1617609Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T09:42:05.1618720Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T09:42:05.1619647Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T09:42:05.1621136Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T09:42:05.1622247Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T09:42:05.1623488Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T09:42:05.1624768Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T09:42:05.1625715Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T09:42:05.1626829Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T09:42:05.1627956Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T09:42:05.1628814Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T09:42:05.1630014Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T09:42:05.1631488Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T09:42:05.1632590Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T09:42:05.1633786Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T09:42:05.1634801Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T09:42:05.1635700Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T09:42:05.1636905Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T09:42:05.1637804Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T09:42:05.1638778Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T09:42:05.1639852Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T09:42:05.1641318Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T09:42:05.1642484Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T09:42:05.1643614Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T09:42:05.1644740Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T09:42:05.1645855Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T09:42:05.1646795Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T09:42:05.1647942Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T09:42:05.1649146Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T09:42:05.1650474Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T09:42:05.1651737Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T09:42:05.1652642Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T09:42:05.1653838Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T09:42:05.1655145Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T09:42:05.1656304Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T09:42:05.1657252Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T09:42:05.1658392Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T09:42:05.1659328Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T09:42:05.1660690Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T09:42:05.1661981Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T09:42:05.1663397Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T09:42:05.1664291Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T09:42:05.1665228Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T09:42:05.1666466Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T09:42:05.1667412Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T09:42:05.1668298Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T09:42:05.1669871Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T09:42:05.1671095Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T09:42:05.1672281Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T09:42:05.1673354Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T09:42:05.1674581Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T09:42:05.1675784Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T09:42:05.1676726Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T09:42:05.1677936Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T09:42:05.1679321Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T09:42:05.1680391Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T09:42:05.1681692Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T09:42:05.1682766Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T09:42:05.1683947Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T09:42:05.1685143Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T09:42:05.1686523Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T09:42:05.1687658Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T09:42:05.1688627Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T09:42:05.1689860Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T09:42:05.1691393Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T09:42:05.1692329Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T09:42:05.1693426Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T09:42:05.1694419Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T09:42:05.1696031Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T09:42:05.1697144Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T09:42:05.1698390Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T09:42:05.1699646Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T09:42:05.1701513Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T09:42:05.1702838Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T09:42:05.1703905Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T09:42:05.1705117Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T09:42:05.1706314Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T09:42:05.1707469Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T09:42:05.1708739Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T09:42:05.1710018Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T09:42:05.1711404Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T09:42:05.1712534Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T09:42:05.1713574Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T09:42:05.1714805Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T09:42:05.1716150Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T09:42:05.1717159Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T09:42:05.1718422Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T09:42:05.1719717Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T09:42:05.1721077Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T09:42:05.1722330Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T09:42:05.1723457Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T09:42:05.1724623Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T09:42:05.1725844Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T09:42:05.1726830Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T09:42:05.1727811Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T09:42:05.1729071Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T09:42:05.1730477Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T09:42:05.1731573Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T09:42:05.1732559Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T09:42:05.1733561Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T09:42:05.1734869Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T09:42:05.1735914Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T09:42:05.1736927Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T09:42:05.1738153Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T09:42:05.1739358Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T09:42:05.1740827Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T09:42:05.1742158Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T09:42:05.1743260Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T09:42:05.1744481Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T09:42:05.1745730Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T09:42:05.1746902Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T09:42:05.1748107Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T09:42:05.1749115Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T09:42:05.1750519Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T09:42:05.1751869Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T09:42:05.1752945Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T09:42:05.1753976Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T09:42:05.1755192Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T09:42:05.1756460Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T09:42:05.1758348Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T09:42:05.1759483Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T09:42:05.1760970Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T09:42:05.1762299Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T09:42:05.1763304Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T09:42:05.1764476Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T09:42:05.1765748Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T09:42:05.1767046Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T09:42:05.1768265Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T09:42:05.1769439Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T09:42:05.1770944Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T09:42:05.1771943Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T09:42:05.1773233Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T09:42:05.1774477Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T09:42:05.1775671Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T09:42:05.1776879Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T09:42:05.1778149Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T09:42:05.1779143Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T09:42:05.1780533Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T09:42:05.1782045Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T09:42:05.1783363Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T09:42:05.1784674Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T09:42:05.1785974Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T09:42:05.1787214Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T09:42:05.1788434Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T09:42:05.1789662Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T09:42:05.1790937Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T09:42:05.1791997Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T09:42:05.1792996Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T09:42:05.1794211Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T09:42:05.1795529Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T09:42:05.1796772Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T09:42:05.1798004Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T09:42:05.1799420Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T09:42:05.1800934Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T09:42:05.1802224Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T09:42:05.1803506Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T09:42:05.1804791Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T09:42:05.1806185Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T09:42:05.1807422Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T09:42:05.1808444Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T09:42:05.1809767Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T09:42:05.1811225Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T09:42:05.1812424Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T09:42:05.1813797Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T09:42:05.1814869Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T09:42:05.1816105Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T09:42:05.1817448Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T09:42:05.1818698Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T09:42:05.1819836Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T09:42:05.1821467Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T09:42:05.1822819Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T09:42:05.1824185Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T09:42:05.1825395Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T09:42:05.1826426Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T09:42:05.1827506Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T09:42:05.1828738Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T09:42:05.1830023Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T09:42:05.1831582Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T09:42:05.1832870Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T09:42:05.1834094Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T09:42:05.1835406Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T09:42:05.1836607Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T09:42:05.1837849Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T09:42:05.1839111Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T09:42:05.1840564Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T09:42:05.1841961Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T09:42:05.2680810Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T09:42:05.2715298Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:42:05.2719322Z ##[endgroup] 2025-09-07T09:42:05.2719731Z ##[group]Determining the checkout info 2025-09-07T09:42:05.2720532Z ##[endgroup] 2025-09-07T09:42:05.2724349Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T09:42:05.2769643Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T09:42:05.2800588Z ##[group]Checking out the ref 2025-09-07T09:42:05.2803305Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:42:06.3105133Z Updating files: 85% (16585/19405) 2025-09-07T09:42:06.3233414Z Updating files: 86% (16689/19405) 2025-09-07T09:42:06.3357176Z Updating files: 87% (16883/19405) 2025-09-07T09:42:06.3452887Z Updating files: 88% (17077/19405) 2025-09-07T09:42:06.3586342Z Updating files: 89% (17271/19405) 2025-09-07T09:42:06.3746117Z Updating files: 90% (17465/19405) 2025-09-07T09:42:06.3852305Z Updating files: 91% (17659/19405) 2025-09-07T09:42:06.3984252Z Updating files: 92% (17853/19405) 2025-09-07T09:42:06.4156914Z 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You can look around, make experimental 2025-09-07T09:42:06.5412098Z changes and commit them, and you can discard any commits you make in this 2025-09-07T09:42:06.5412640Z state without impacting any branches by switching back to a branch. 2025-09-07T09:42:06.5412936Z 2025-09-07T09:42:06.5413126Z If you want to create a new branch to retain commits you create, you may 2025-09-07T09:42:06.5413584Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T09:42:06.5413842Z 2025-09-07T09:42:06.5413953Z git switch -c 2025-09-07T09:42:06.5414129Z 2025-09-07T09:42:06.5414230Z Or undo this operation with: 2025-09-07T09:42:06.5414388Z 2025-09-07T09:42:06.5414473Z git switch - 2025-09-07T09:42:06.5414610Z 2025-09-07T09:42:06.5414835Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T09:42:06.5415154Z 2025-09-07T09:42:06.5415321Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T09:42:06.5539647Z ##[endgroup] 2025-09-07T09:42:06.5540042Z ##[group]Setting up auth for fetching submodules 2025-09-07T09:42:06.5545061Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:42:06.5593751Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T09:42:06.5628672Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T09:42:06.5658965Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T09:42:06.5687048Z ##[endgroup] 2025-09-07T09:42:06.5687446Z ##[group]Fetching submodules 2025-09-07T09:42:06.5689727Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T09:42:06.5971689Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T09:42:06.6247322Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T09:42:06.6259454Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T09:42:06.6272850Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T09:42:06.6286392Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T09:42:06.6299149Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T09:42:06.6312686Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T09:42:06.6325079Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T09:42:06.6337622Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T09:42:06.6350374Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T09:42:06.6362975Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T09:42:06.6375603Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T09:42:06.6386930Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T09:42:06.6398757Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T09:42:06.6411315Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T09:42:06.6422159Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T09:42:06.6434300Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T09:42:06.6445826Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T09:42:06.6457808Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T09:42:06.6469862Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:42:06.6482469Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T09:42:06.6494672Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T09:42:06.6506175Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T09:42:06.6517861Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T09:42:06.6529619Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T09:42:06.6541429Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T09:42:06.6552284Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T09:42:06.6564189Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T09:42:06.6575658Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T09:42:06.6587379Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T09:42:06.6599425Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T09:42:06.6611713Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T09:42:06.6622949Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T09:42:06.6635435Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T09:42:06.6647506Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T09:42:06.6659094Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T09:42:06.6671732Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T09:42:06.6684305Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T09:42:06.6718944Z Cloning into '/home/david/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T09:42:07.0465074Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T09:42:07.3557663Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T09:42:07.6371455Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T09:42:08.0003589Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T09:42:08.5295162Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T09:42:09.6566626Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T09:42:18.5047968Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T09:42:21.6491586Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T09:42:22.1673905Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T09:42:25.2543056Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T09:42:25.8825658Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T09:42:26.5851268Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T09:42:27.6685645Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T09:42:29.6092709Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T09:42:31.1549757Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T09:42:31.8172100Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T09:42:33.0266992Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T09:42:33.9641787Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T09:42:34.4464477Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T09:42:34.9404880Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T09:42:35.8446079Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T09:42:36.3103630Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T09:42:36.8468913Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T09:42:38.0459490Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T09:42:38.6206290Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T09:42:39.5354983Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T09:42:45.0319756Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T09:42:47.4554980Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T09:42:52.3819845Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T09:42:52.7826975Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T09:43:00.0631568Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T09:43:00.3426614Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T09:43:00.6874337Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T09:43:01.5969591Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T09:43:02.0103947Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T09:43:02.9047214Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T09:43:03.4499359Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T09:43:03.4636266Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T09:43:03.4745958Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T09:43:03.5008180Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T09:43:03.5775816Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T09:43:03.6318747Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T09:43:04.3895085Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T09:43:04.5444647Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T09:43:04.5477649Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:43:04.5512455Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T09:43:07.8006411Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T09:43:07.8263667Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T09:43:08.1507214Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T09:43:08.2006002Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T09:43:08.2967235Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T09:43:08.3411162Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T09:43:08.9780688Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T09:43:09.1244462Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T09:43:09.1273964Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T09:43:09.1278547Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:43:09.1282807Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:43:09.1287393Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T09:43:09.1294119Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T09:43:09.1301484Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:43:09.1307500Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T09:43:09.1338623Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T09:43:10.2843077Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T09:43:11.3394450Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T09:43:12.0438467Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T09:43:13.7206692Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T09:43:14.5804568Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T09:43:15.0149404Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T09:43:20.5003723Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T09:43:20.7607014Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T09:43:20.8603915Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T09:43:21.4877048Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T09:43:21.5333038Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:43:21.5472503Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T09:43:21.6522580Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T09:43:21.7242725Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T09:43:21.7283596Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:43:21.7303086Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:43:21.7335736Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T09:43:24.7218895Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T09:43:26.9109363Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T09:43:27.4841026Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T09:43:27.6241619Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T09:43:27.6566633Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T09:43:27.6966982Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T09:43:27.7226469Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T09:43:27.7670519Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:43:27.7810855Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T09:43:27.7841652Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T09:43:27.7872075Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T09:43:42.8710132Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T09:43:42.8946847Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T09:43:42.9820057Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T09:43:43.0117408Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:43:43.0299228Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:43:43.0563583Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:43:43.0598151Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T09:43:44.0492710Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T09:43:45.4894064Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T09:43:46.8443792Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T09:43:46.8472356Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:43:46.8482614Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:43:46.8493343Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:43:46.8504016Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:43:46.8514356Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:43:46.8525809Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:43:46.8536611Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:43:46.8547728Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:43:46.8581283Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T09:43:48.1591877Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T09:43:48.5945668Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T09:43:49.5787310Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T09:43:50.0025048Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T09:43:50.5407014Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T09:43:51.4482366Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T09:43:57.3598958Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T09:43:58.0013560Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T09:43:58.0225273Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T09:43:58.0608968Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T09:43:58.0758098Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T09:43:58.0778301Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:43:58.0806830Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T09:43:58.9562765Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T09:43:58.9769300Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T09:43:59.0184180Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T09:43:59.1189721Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T09:43:59.1371192Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T09:43:59.1757761Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T09:43:59.2477256Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T09:43:59.2911419Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T09:43:59.3305042Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T09:43:59.4425345Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T09:43:59.9071297Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T09:43:59.9124175Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T09:43:59.9157115Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T09:44:00.8517801Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T09:44:00.9243433Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T09:44:00.9277154Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:44:00.9290900Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:44:00.9305250Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:44:00.9318956Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:44:00.9332462Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:44:00.9345121Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:44:00.9358130Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:44:00.9371191Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:44:00.9401747Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T09:44:01.4450581Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T09:44:02.2960898Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T09:44:03.9079502Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T09:44:13.7253401Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T09:44:15.4477489Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T09:44:17.1270704Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T09:44:19.0074344Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T09:44:25.2376238Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T09:44:25.2788963Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T09:44:25.2959043Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T09:44:25.4015514Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T09:44:25.4161565Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T09:44:25.4319956Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T09:44:25.4489006Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T09:44:25.4517521Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:44:25.4530850Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:44:25.4564656Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T09:44:26.9803613Z Cloning into '/home/david/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T09:44:28.0855717Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T09:44:28.1347654Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T09:44:28.6853381Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T09:44:28.6986342Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T09:44:28.9711319Z Submodule path 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2025-09-07T09:44:44.5830600Z submodules: recursive 2025-09-07T09:44:44.5830806Z show-progress: false 2025-09-07T09:44:44.5831014Z repository: pytorch/pytorch 2025-09-07T09:44:44.5831299Z token: *** 2025-09-07T09:44:44.5831464Z ssh-strict: true 2025-09-07T09:44:44.5831631Z ssh-user: git 2025-09-07T09:44:44.5831805Z persist-credentials: true 2025-09-07T09:44:44.5831992Z clean: true 2025-09-07T09:44:44.5832173Z sparse-checkout-cone-mode: true 2025-09-07T09:44:44.5832399Z fetch-tags: false 2025-09-07T09:44:44.5832564Z lfs: false 2025-09-07T09:44:44.5832720Z set-safe-directory: true 2025-09-07T09:44:44.5832902Z env: 2025-09-07T09:44:44.5833068Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:44:44.5833246Z ##[endgroup] 2025-09-07T09:44:44.6712197Z Syncing repository: pytorch/pytorch 2025-09-07T09:44:44.6715131Z ##[group]Getting Git version info 2025-09-07T09:44:44.6715586Z Working directory is '/home/david/_work/pytorch/pytorch' 2025-09-07T09:44:44.6747971Z [command]/usr/bin/git version 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2025-09-07T09:44:44.7294667Z 7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe) 2025-09-07T09:44:44.7384334Z 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081) 2025-09-07T09:44:44.7473414Z b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327) 2025-09-07T09:44:44.7574619Z c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0) 2025-09-07T09:44:44.7631207Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T09:44:44.7717280Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T09:44:44.8184591Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T09:44:44.8228600Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T09:44:44.8257593Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 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http.https://github.com/.extraheader 2025-09-07T09:44:46.4612244Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:44:46.4640424Z http.https://github.com/.extraheader 2025-09-07T09:44:46.4687093Z Entering 'third_party/ittapi' 2025-09-07T09:44:46.4715396Z http.https://github.com/.extraheader 2025-09-07T09:44:46.4750883Z Entering 'third_party/kineto' 2025-09-07T09:44:46.4779518Z http.https://github.com/.extraheader 2025-09-07T09:44:46.4817082Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:44:46.4847101Z http.https://github.com/.extraheader 2025-09-07T09:44:46.4885903Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:44:46.4913852Z http.https://github.com/.extraheader 2025-09-07T09:44:46.4950659Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:44:46.4977206Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5012367Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:44:46.5038504Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5076065Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:44:46.5102605Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5136412Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:44:46.5166876Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5205638Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:44:46.5232626Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5267733Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:44:46.5294471Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5331042Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:44:46.5357830Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5394375Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:44:46.5421292Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5461646Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:44:46.5489220Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5523970Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:44:46.5551636Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5589487Z Entering 'third_party/kleidiai' 2025-09-07T09:44:46.5617992Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5654174Z Entering 'third_party/mimalloc' 2025-09-07T09:44:46.5682042Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5717424Z Entering 'third_party/nlohmann' 2025-09-07T09:44:46.5745539Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5782256Z Entering 'third_party/onnx' 2025-09-07T09:44:46.5809981Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5860143Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:44:46.5889235Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5929526Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:44:46.5959949Z http.https://github.com/.extraheader 2025-09-07T09:44:46.5999531Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:44:46.6027529Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6064498Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:44:46.6090800Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6125041Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:44:46.6151065Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6185849Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:44:46.6211776Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6247234Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:44:46.6273998Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6308949Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:44:46.6336998Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6371909Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:44:46.6397748Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6431482Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:44:46.6459462Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6496208Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:44:46.6522789Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6559883Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:44:46.6588141Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6643610Z Entering 'third_party/pocketfft' 2025-09-07T09:44:46.6672893Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6707575Z Entering 'third_party/protobuf' 2025-09-07T09:44:46.6735216Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6772848Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:44:46.6800621Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6835510Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:44:46.6862317Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6901625Z Entering 'third_party/psimd' 2025-09-07T09:44:46.6929544Z http.https://github.com/.extraheader 2025-09-07T09:44:46.6964721Z Entering 'third_party/pthreadpool' 2025-09-07T09:44:46.6994191Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7031252Z Entering 'third_party/pybind11' 2025-09-07T09:44:46.7060062Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7096198Z Entering 'third_party/python-peachpy' 2025-09-07T09:44:46.7123770Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7159311Z Entering 'third_party/sleef' 2025-09-07T09:44:46.7186511Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7221366Z Entering 'third_party/tensorpipe' 2025-09-07T09:44:46.7248994Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7284247Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:44:46.7312652Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7349532Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:44:46.7375097Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7408828Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:44:46.7437011Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7471736Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:44:46.7499080Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7532149Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:44:46.7559927Z http.https://github.com/.extraheader 2025-09-07T09:44:46.7624116Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:44:46.7664610Z ##[endgroup] 2025-09-07T09:44:46.7665083Z ##[group]Fetching the repository 2025-09-07T09:44:46.7671762Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T09:44:47.3391061Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T09:44:47.3418505Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:44:47.3424107Z ##[endgroup] 2025-09-07T09:44:47.3424543Z ##[group]Determining the checkout info 2025-09-07T09:44:47.3425119Z ##[endgroup] 2025-09-07T09:44:47.3428444Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T09:44:47.3616685Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T09:44:47.3645960Z ##[group]Checking out the ref 2025-09-07T09:44:47.3649939Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:44:47.3970967Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T09:44:47.3981364Z ##[endgroup] 2025-09-07T09:44:47.3981841Z ##[group]Setting up auth for fetching submodules 2025-09-07T09:44:47.3985653Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:44:47.4021327Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T09:44:47.4050118Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T09:44:47.4079943Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T09:44:47.4108242Z ##[endgroup] 2025-09-07T09:44:47.4108764Z ##[group]Fetching submodules 2025-09-07T09:44:47.4111521Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T09:44:47.4387231Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T09:44:47.4412975Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T09:44:47.4437525Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T09:44:47.4462298Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T09:44:47.4487119Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T09:44:47.4512729Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T09:44:47.4537479Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T09:44:47.4575772Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T09:44:47.4600387Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:44:47.4636411Z Synchronizing submodule url for 'third_party/benchmark' 2025-09-07T09:44:47.4661729Z Synchronizing submodule url for 'third_party/composable_kernel' 2025-09-07T09:44:47.4694473Z Synchronizing submodule url for 'third_party/cpp-httplib' 2025-09-07T09:44:47.4718782Z Synchronizing submodule url for 'third_party/cpuinfo' 2025-09-07T09:44:47.4744106Z Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-09-07T09:44:47.4768640Z Synchronizing submodule url for 'third_party/cutlass' 2025-09-07T09:44:47.4801847Z Synchronizing submodule url for 'third_party/fbgemm' 2025-09-07T09:44:47.4829215Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-09-07T09:44:47.4854260Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:44:47.4882902Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:44:47.4906562Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-09-07T09:44:47.4937492Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest' 2025-09-07T09:44:47.4960059Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:44:47.4985350Z Synchronizing submodule url for 'third_party/fbgemm/external/json' 2025-09-07T09:44:47.5013543Z Synchronizing submodule url for 'third_party/flash-attention' 2025-09-07T09:44:47.5037416Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:44:47.5066575Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:44:47.5102737Z Synchronizing submodule url for 'third_party/flatbuffers' 2025-09-07T09:44:47.5130402Z Synchronizing submodule url for 'third_party/fmt' 2025-09-07T09:44:47.5155575Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:44:47.5180143Z Synchronizing submodule url for 'third_party/gloo' 2025-09-07T09:44:47.5205794Z Synchronizing submodule url for 'third_party/googletest' 2025-09-07T09:44:47.5230338Z Synchronizing submodule url for 'third_party/ideep' 2025-09-07T09:44:47.5252683Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn' 2025-09-07T09:44:47.5285406Z Synchronizing submodule url for 'third_party/ittapi' 2025-09-07T09:44:47.5310178Z Synchronizing submodule url for 'third_party/kineto' 2025-09-07T09:44:47.5333690Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:44:47.5358848Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:44:47.5385156Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:44:47.5408565Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:44:47.5432671Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:44:47.5455083Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:44:47.5484113Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:44:47.5508188Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:44:47.5533998Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:44:47.5559724Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:44:47.5587410Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:44:47.5610798Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:44:47.5641644Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T09:44:47.5672288Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T09:44:47.5698660Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T09:44:47.5725284Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T09:44:47.5765499Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T09:44:47.5797555Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T09:44:47.5822591Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:44:47.5846765Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:44:47.5869372Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:44:47.5892032Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:44:47.5915786Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:44:47.5937762Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:44:47.5960099Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:44:47.5981301Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:44:47.6007617Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:44:47.6033368Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:44:47.6078430Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T09:44:47.6103539Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T09:44:47.6129456Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:44:47.6153373Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T09:44:47.6180355Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T09:44:47.6206416Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T09:44:47.6232325Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T09:44:47.6257192Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T09:44:47.6282109Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T09:44:47.6307080Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T09:44:47.6329548Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:44:47.6354330Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:44:47.6376602Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:44:47.6399599Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:44:47.6421019Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:44:47.6463536Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T09:44:47.6873979Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T09:44:47.7002101Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T09:44:47.7112539Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T09:44:47.7337953Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T09:44:47.8157043Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T09:44:47.8505407Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T09:44:48.4272134Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T09:44:48.6312771Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T09:44:48.9108901Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T09:44:48.9322972Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T09:44:49.1120936Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T09:44:49.1674530Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T09:44:49.2861417Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T09:44:49.3343675Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T09:44:50.1431629Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T09:44:50.2651829Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T09:44:50.3228480Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T09:44:50.5937343Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T09:44:50.7125763Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T09:44:51.3499390Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T09:44:51.3863479Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:44:51.3997386Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T09:44:51.4984802Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T09:44:51.5735160Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T09:44:51.8172942Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T09:44:52.4248235Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T09:44:52.6380584Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T09:44:52.6681573Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T09:44:52.7072198Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T09:44:52.7290548Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T09:44:52.7638373Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:44:52.7784578Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T09:44:53.5061141Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T09:44:53.5276324Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T09:44:53.6125791Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T09:44:53.7529718Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T09:44:53.9255977Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T09:44:53.9419402Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T09:44:53.9721976Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T09:44:53.9866089Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T09:44:53.9970781Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T09:44:54.0135332Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T09:44:54.0372060Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T09:44:54.1214860Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T09:44:54.1377182Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T09:44:54.1655412Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T09:44:54.1999015Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T09:44:54.2426386Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T09:44:54.2926431Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T09:44:54.4032581Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T09:44:54.7604612Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T09:44:54.7953728Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T09:44:54.8568397Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T09:44:54.8744519Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T09:44:54.9082069Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T09:44:54.9210710Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T09:44:55.0208068Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T09:44:55.0359496Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T09:44:55.0505220Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T09:44:55.0647619Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T09:44:55.1345021Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T09:44:55.1695645Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T09:44:55.4513991Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T09:44:55.4642732Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T09:44:55.7073153Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T09:44:55.7217105Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T09:44:55.7608723Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T09:44:55.7717998Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T09:44:55.7867327Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T09:44:55.8212224Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T09:44:55.8639358Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T09:44:55.9109988Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T09:44:55.9329820Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T09:44:55.9667630Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T09:44:55.9817745Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T09:44:56.0314264Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T09:44:56.0547929Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T09:44:56.0644555Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T09:44:56.0695120Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T09:44:56.0962184Z Entering 'android/libs/fbjni' 2025-09-07T09:44:56.1006096Z Entering 'third_party/FP16' 2025-09-07T09:44:56.1049613Z Entering 'third_party/FXdiv' 2025-09-07T09:44:56.1092843Z Entering 'third_party/NNPACK' 2025-09-07T09:44:56.1136323Z Entering 'third_party/NVTX' 2025-09-07T09:44:56.1180134Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:44:56.1223767Z Entering 'third_party/XNNPACK' 2025-09-07T09:44:56.1281382Z Entering 'third_party/aiter' 2025-09-07T09:44:56.1324481Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:44:56.1374320Z Entering 'third_party/benchmark' 2025-09-07T09:44:56.1418704Z Entering 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2025-09-07T09:44:56.3101371Z Entering 'third_party/mimalloc' 2025-09-07T09:44:56.3145167Z Entering 'third_party/nlohmann' 2025-09-07T09:44:56.3189840Z Entering 'third_party/onnx' 2025-09-07T09:44:56.3247034Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:44:56.3294386Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:44:56.3338792Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:44:56.3379600Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:44:56.3420483Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:44:56.3460654Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:44:56.3502433Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:44:56.3543530Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:44:56.3584033Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:44:56.3624754Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:44:56.3667953Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:44:56.3711812Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:44:56.3772867Z Entering 'third_party/pocketfft' 2025-09-07T09:44:56.3816328Z Entering 'third_party/protobuf' 2025-09-07T09:44:56.3862013Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:44:56.3902214Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:44:56.3946642Z Entering 'third_party/psimd' 2025-09-07T09:44:56.3990700Z Entering 'third_party/pthreadpool' 2025-09-07T09:44:56.4033924Z Entering 'third_party/pybind11' 2025-09-07T09:44:56.4077900Z Entering 'third_party/python-peachpy' 2025-09-07T09:44:56.4121890Z Entering 'third_party/sleef' 2025-09-07T09:44:56.4165372Z Entering 'third_party/tensorpipe' 2025-09-07T09:44:56.4208462Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:44:56.4249541Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:44:56.4290367Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:44:56.4331710Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:44:56.4371830Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:44:56.4432259Z ##[endgroup] 2025-09-07T09:44:56.4432658Z ##[group]Persisting credentials for submodules 2025-09-07T09:44:56.4438525Z [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' || :" 2025-09-07T09:44:56.4698890Z Entering 'android/libs/fbjni' 2025-09-07T09:44:56.4726563Z url.https://github.com/.insteadof 2025-09-07T09:44:56.4726874Z url.https://github.com/.insteadof 2025-09-07T09:44:56.4762250Z Entering 'third_party/FP16' 2025-09-07T09:44:56.4789470Z url.https://github.com/.insteadof 2025-09-07T09:44:56.4789778Z url.https://github.com/.insteadof 2025-09-07T09:44:56.4824438Z Entering 'third_party/FXdiv' 2025-09-07T09:44:56.4851536Z url.https://github.com/.insteadof 2025-09-07T09:44:56.4886910Z url.https://github.com/.insteadof 2025-09-07T09:44:56.4887180Z Entering 'third_party/NNPACK' 2025-09-07T09:44:56.4914882Z url.https://github.com/.insteadof 2025-09-07T09:44:56.4915582Z url.https://github.com/.insteadof 2025-09-07T09:44:56.4949940Z Entering 'third_party/NVTX' 2025-09-07T09:44:56.4977008Z url.https://github.com/.insteadof 2025-09-07T09:44:56.4977299Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5013459Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:44:56.5040504Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5040787Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5075746Z Entering 'third_party/XNNPACK' 2025-09-07T09:44:56.5103469Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5103764Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5151782Z Entering 'third_party/aiter' 2025-09-07T09:44:56.5178728Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5179009Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5213360Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:44:56.5240742Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5241018Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5285038Z Entering 'third_party/benchmark' 2025-09-07T09:44:56.5312785Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5313064Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5347255Z Entering 'third_party/composable_kernel' 2025-09-07T09:44:56.5374373Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5374645Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5417217Z Entering 'third_party/cpp-httplib' 2025-09-07T09:44:56.5444566Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5444838Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5479124Z Entering 'third_party/cpuinfo' 2025-09-07T09:44:56.5506235Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5506505Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5541350Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:44:56.5568468Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5568743Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5603030Z Entering 'third_party/cutlass' 2025-09-07T09:44:56.5630638Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5630938Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5675464Z Entering 'third_party/fbgemm' 2025-09-07T09:44:56.5703465Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5703747Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5739671Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:44:56.5769106Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5769395Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5803566Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:44:56.5831159Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5831460Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5871658Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:44:56.5897312Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5897584Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5931546Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:44:56.5957436Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5957721Z url.https://github.com/.insteadof 2025-09-07T09:44:56.5999290Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:44:56.6025782Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6026062Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6059252Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:44:56.6087203Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6087496Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6120986Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:44:56.6146975Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6147242Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6185941Z Entering 'third_party/flash-attention' 2025-09-07T09:44:56.6214092Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6248233Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6248573Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:44:56.6275499Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6276182Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6315642Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:44:56.6342186Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6342460Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6387151Z Entering 'third_party/flatbuffers' 2025-09-07T09:44:56.6414623Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6414908Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6452361Z Entering 'third_party/fmt' 2025-09-07T09:44:56.6479168Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6479447Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6513746Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:44:56.6541037Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6541306Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6575974Z Entering 'third_party/gloo' 2025-09-07T09:44:56.6603683Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6603963Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6638112Z Entering 'third_party/googletest' 2025-09-07T09:44:56.6665230Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6665493Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6701031Z Entering 'third_party/ideep' 2025-09-07T09:44:56.6727786Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6728066Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6760791Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:44:56.6788235Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6788518Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6831471Z Entering 'third_party/ittapi' 2025-09-07T09:44:56.6858708Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6858982Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6893386Z Entering 'third_party/kineto' 2025-09-07T09:44:56.6921787Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6922139Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6955824Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:44:56.6983273Z url.https://github.com/.insteadof 2025-09-07T09:44:56.6986105Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7020766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:44:56.7047935Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7048215Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7084667Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:44:56.7110719Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7110994Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7146452Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:44:56.7172236Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7172513Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7206803Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:44:56.7233265Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7233548Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7267667Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:44:56.7295955Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7296238Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7334696Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:44:56.7367686Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7367986Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7397266Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:44:56.7424483Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7424794Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7459228Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:44:56.7487073Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7487367Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7524075Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:44:56.7550682Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7551006Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7588342Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:44:56.7614467Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7614754Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7648831Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:44:56.7675194Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7675462Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7712746Z Entering 'third_party/kleidiai' 2025-09-07T09:44:56.7740574Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7740865Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7776126Z Entering 'third_party/mimalloc' 2025-09-07T09:44:56.7803956Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7804231Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7838653Z Entering 'third_party/nlohmann' 2025-09-07T09:44:56.7866431Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7866716Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7902355Z Entering 'third_party/onnx' 2025-09-07T09:44:56.7929404Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7929713Z url.https://github.com/.insteadof 2025-09-07T09:44:56.7978558Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:44:56.8006523Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8006808Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8046252Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:44:56.8074238Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8074514Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8110650Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:44:56.8137737Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8138014Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8172059Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:44:56.8199544Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8199845Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8237287Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:44:56.8263192Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8263453Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8296848Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:44:56.8323472Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8323760Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8358625Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:44:56.8384890Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8385181Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8418526Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:44:56.8445534Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8445819Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8480917Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:44:56.8506786Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8507089Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8539593Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:44:56.8567061Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8567385Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8604465Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:44:56.8630481Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8630792Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8668303Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:44:56.8694637Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8694919Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8748108Z Entering 'third_party/pocketfft' 2025-09-07T09:44:56.8776161Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8777000Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8811515Z Entering 'third_party/protobuf' 2025-09-07T09:44:56.8839613Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8839894Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8876672Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:44:56.8904265Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8904561Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8938547Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:44:56.8964947Z url.https://github.com/.insteadof 2025-09-07T09:44:56.8965245Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9003218Z Entering 'third_party/psimd' 2025-09-07T09:44:56.9031123Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9031412Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9066397Z Entering 'third_party/pthreadpool' 2025-09-07T09:44:56.9095047Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9095330Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9129942Z Entering 'third_party/pybind11' 2025-09-07T09:44:56.9157737Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9158040Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9193331Z Entering 'third_party/python-peachpy' 2025-09-07T09:44:56.9220669Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9221424Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9257132Z Entering 'third_party/sleef' 2025-09-07T09:44:56.9284677Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9284965Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9320861Z Entering 'third_party/tensorpipe' 2025-09-07T09:44:56.9348265Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9348554Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9383820Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:44:56.9410837Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9411156Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9445317Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:44:56.9472452Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9472755Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9506670Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:44:56.9533734Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9534019Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9567821Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:44:56.9594697Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9594983Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9627386Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:44:56.9655956Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9656248Z url.https://github.com/.insteadof 2025-09-07T09:44:56.9715051Z [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" 2025-09-07T09:44:56.9973660Z Entering 'android/libs/fbjni' 2025-09-07T09:44:57.0016788Z file:/home/david/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T09:44:57.0038434Z Entering 'third_party/FP16' 2025-09-07T09:44:57.0079737Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T09:44:57.0101054Z Entering 'third_party/FXdiv' 2025-09-07T09:44:57.0143808Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T09:44:57.0166796Z Entering 'third_party/NNPACK' 2025-09-07T09:44:57.0207874Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T09:44:57.0229563Z Entering 'third_party/NVTX' 2025-09-07T09:44:57.0271200Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T09:44:57.0293873Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:44:57.0334795Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T09:44:57.0356459Z Entering 'third_party/XNNPACK' 2025-09-07T09:44:57.0398047Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T09:44:57.0433782Z Entering 'third_party/aiter' 2025-09-07T09:44:57.0475966Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T09:44:57.0497463Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:44:57.0539907Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T09:44:57.0571088Z Entering 'third_party/benchmark' 2025-09-07T09:44:57.0612864Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:44:57.0634365Z Entering 'third_party/composable_kernel' 2025-09-07T09:44:57.0676172Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T09:44:57.0706696Z Entering 'third_party/cpp-httplib' 2025-09-07T09:44:57.0748803Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T09:44:57.0770158Z Entering 'third_party/cpuinfo' 2025-09-07T09:44:57.0812669Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T09:44:57.0834899Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:44:57.0880129Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T09:44:57.0902116Z Entering 'third_party/cutlass' 2025-09-07T09:44:57.0944240Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T09:44:57.0974513Z Entering 'third_party/fbgemm' 2025-09-07T09:44:57.1017964Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T09:44:57.1040927Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:44:57.1083248Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T09:44:57.1104048Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:44:57.1144412Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T09:44:57.1172162Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:44:57.1212362Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T09:44:57.1232986Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:44:57.1274154Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T09:44:57.1303309Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:44:57.1344580Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T09:44:57.1365258Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:44:57.1406695Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T09:44:57.1427099Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:44:57.1467585Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T09:44:57.1493949Z Entering 'third_party/flash-attention' 2025-09-07T09:44:57.1537162Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T09:44:57.1558485Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:44:57.1601298Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T09:44:57.1627454Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:44:57.1667576Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T09:44:57.1698363Z Entering 'third_party/flatbuffers' 2025-09-07T09:44:57.1740113Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T09:44:57.1764613Z Entering 'third_party/fmt' 2025-09-07T09:44:57.1806443Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T09:44:57.1828021Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:44:57.1869395Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T09:44:57.1891556Z Entering 'third_party/gloo' 2025-09-07T09:44:57.1932768Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T09:44:57.1954458Z Entering 'third_party/googletest' 2025-09-07T09:44:57.1996484Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:44:57.2018030Z Entering 'third_party/ideep' 2025-09-07T09:44:57.2059649Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T09:44:57.2079596Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:44:57.2120097Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T09:44:57.2149673Z Entering 'third_party/ittapi' 2025-09-07T09:44:57.2190733Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T09:44:57.2212809Z Entering 'third_party/kineto' 2025-09-07T09:44:57.2254198Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T09:44:57.2275155Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:44:57.2317749Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T09:44:57.2337453Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:44:57.2379285Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T09:44:57.2401446Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:44:57.2442566Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T09:44:57.2463020Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:44:57.2548265Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T09:44:57.2568818Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:44:57.2610026Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T09:44:57.2628930Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:44:57.2671879Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T09:44:57.2695259Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:44:57.2747821Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T09:44:57.2769242Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:44:57.2810145Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:44:57.2831211Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:44:57.2875657Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T09:44:57.2898127Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:44:57.2966506Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T09:44:57.2990889Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:44:57.3031399Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T09:44:57.3052607Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:44:57.3094540Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T09:44:57.3118021Z Entering 'third_party/kleidiai' 2025-09-07T09:44:57.3159516Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T09:44:57.3181965Z Entering 'third_party/mimalloc' 2025-09-07T09:44:57.3226165Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T09:44:57.3248669Z Entering 'third_party/nlohmann' 2025-09-07T09:44:57.3290575Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T09:44:57.3313801Z Entering 'third_party/onnx' 2025-09-07T09:44:57.3355499Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T09:44:57.3392520Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:44:57.3434935Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:44:57.3461042Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:44:57.3503319Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T09:44:57.3526764Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:44:57.3568314Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:44:57.3589261Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:44:57.3629128Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:44:57.3649421Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:44:57.3689715Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T09:44:57.3709957Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:44:57.3750372Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T09:44:57.3771770Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:44:57.3812617Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T09:44:57.3833246Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:44:57.3873864Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T09:44:57.3894162Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:44:57.3934208Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T09:44:57.3953099Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:44:57.3995539Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T09:44:57.4017491Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:44:57.4059418Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T09:44:57.4083067Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:44:57.4124423Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T09:44:57.4165153Z Entering 'third_party/pocketfft' 2025-09-07T09:44:57.4207844Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T09:44:57.4229207Z Entering 'third_party/protobuf' 2025-09-07T09:44:57.4271105Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T09:44:57.4295275Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:44:57.4337043Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:44:57.4357869Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:44:57.4397786Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:44:57.4421982Z Entering 'third_party/psimd' 2025-09-07T09:44:57.4464574Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T09:44:57.4485897Z Entering 'third_party/pthreadpool' 2025-09-07T09:44:57.4528028Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T09:44:57.4549096Z Entering 'third_party/pybind11' 2025-09-07T09:44:57.4590509Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:44:57.4612325Z Entering 'third_party/python-peachpy' 2025-09-07T09:44:57.4653497Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T09:44:57.4675202Z Entering 'third_party/sleef' 2025-09-07T09:44:57.4716048Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T09:44:57.4737744Z Entering 'third_party/tensorpipe' 2025-09-07T09:44:57.4779770Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T09:44:57.4800491Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:44:57.4843070Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:44:57.4863393Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:44:57.4903109Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T09:44:57.4923562Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:44:57.4963145Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T09:44:57.4983433Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:44:57.5023985Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:44:57.5042442Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:44:57.5086297Z file:/home/david/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T09:44:57.5360740Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T09:44:57.5623800Z Entering 'android/libs/fbjni' 2025-09-07T09:44:57.5667695Z Entering 'third_party/FP16' 2025-09-07T09:44:57.5711854Z Entering 'third_party/FXdiv' 2025-09-07T09:44:57.5755097Z Entering 'third_party/NNPACK' 2025-09-07T09:44:57.5798724Z Entering 'third_party/NVTX' 2025-09-07T09:44:57.5842747Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:44:57.5886181Z Entering 'third_party/XNNPACK' 2025-09-07T09:44:57.5945383Z Entering 'third_party/aiter' 2025-09-07T09:44:57.5989946Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:44:57.6040803Z Entering 'third_party/benchmark' 2025-09-07T09:44:57.6085505Z Entering 'third_party/composable_kernel' 2025-09-07T09:44:57.6138413Z Entering 'third_party/cpp-httplib' 2025-09-07T09:44:57.6182336Z Entering 'third_party/cpuinfo' 2025-09-07T09:44:57.6226374Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:44:57.6270045Z Entering 'third_party/cutlass' 2025-09-07T09:44:57.6323486Z Entering 'third_party/fbgemm' 2025-09-07T09:44:57.6369879Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:44:57.6411301Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:44:57.6458998Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:44:57.6500326Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:44:57.6549414Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:44:57.6590979Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:44:57.6632171Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:44:57.6677305Z Entering 'third_party/flash-attention' 2025-09-07T09:44:57.6721447Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:44:57.6769263Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:44:57.6821423Z Entering 'third_party/flatbuffers' 2025-09-07T09:44:57.6868004Z Entering 'third_party/fmt' 2025-09-07T09:44:57.6912345Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:44:57.6955902Z Entering 'third_party/gloo' 2025-09-07T09:44:57.6999402Z Entering 'third_party/googletest' 2025-09-07T09:44:57.7043459Z Entering 'third_party/ideep' 2025-09-07T09:44:57.7085536Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:44:57.7135285Z Entering 'third_party/ittapi' 2025-09-07T09:44:57.7179697Z Entering 'third_party/kineto' 2025-09-07T09:44:57.7222389Z Entering 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'third_party/psimd' 2025-09-07T09:44:57.8679398Z Entering 'third_party/pthreadpool' 2025-09-07T09:44:57.8722841Z Entering 'third_party/pybind11' 2025-09-07T09:44:57.8766275Z Entering 'third_party/python-peachpy' 2025-09-07T09:44:57.8809679Z Entering 'third_party/sleef' 2025-09-07T09:44:57.8853318Z Entering 'third_party/tensorpipe' 2025-09-07T09:44:57.8896484Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:44:57.8938294Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:44:57.8979254Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:44:57.9021029Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:44:57.9060792Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:44:57.9129197Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T09:44:57.9407103Z Entering 'android/libs/fbjni' 2025-09-07T09:44:57.9451720Z Entering 'third_party/FP16' 2025-09-07T09:44:57.9495229Z Entering 'third_party/FXdiv' 2025-09-07T09:44:57.9538915Z Entering 'third_party/NNPACK' 2025-09-07T09:44:57.9583022Z Entering 'third_party/NVTX' 2025-09-07T09:44:57.9627976Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:44:57.9671499Z Entering 'third_party/XNNPACK' 2025-09-07T09:44:57.9729940Z Entering 'third_party/aiter' 2025-09-07T09:44:57.9774863Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:44:57.9828390Z Entering 'third_party/benchmark' 2025-09-07T09:44:57.9873317Z Entering 'third_party/composable_kernel' 2025-09-07T09:44:57.9925444Z Entering 'third_party/cpp-httplib' 2025-09-07T09:44:57.9970510Z Entering 'third_party/cpuinfo' 2025-09-07T09:44:58.0015203Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:44:58.0059911Z Entering 'third_party/cutlass' 2025-09-07T09:44:58.0113394Z Entering 'third_party/fbgemm' 2025-09-07T09:44:58.0159851Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:44:58.0201851Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:44:58.0248962Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:44:58.0291108Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:44:58.0341048Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:44:58.0382780Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:44:58.0424187Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:44:58.0469689Z Entering 'third_party/flash-attention' 2025-09-07T09:44:58.0514801Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:44:58.0562596Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:44:58.0613816Z Entering 'third_party/flatbuffers' 2025-09-07T09:44:58.0661102Z Entering 'third_party/fmt' 2025-09-07T09:44:58.0704660Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:44:58.0748703Z Entering 'third_party/gloo' 2025-09-07T09:44:58.0792442Z Entering 'third_party/googletest' 2025-09-07T09:44:58.0835945Z Entering 'third_party/ideep' 2025-09-07T09:44:58.0878237Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:44:58.0928430Z Entering 'third_party/ittapi' 2025-09-07T09:44:58.0972738Z Entering 'third_party/kineto' 2025-09-07T09:44:58.1015376Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:44:58.1056859Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:44:58.1100963Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:44:58.1142568Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:44:58.1184449Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:44:58.1225451Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:44:58.1270425Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:44:58.1312650Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:44:58.1354194Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:44:58.1397263Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:44:58.1442133Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:44:58.1483317Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:44:58.1527794Z Entering 'third_party/kleidiai' 2025-09-07T09:44:58.1573015Z Entering 'third_party/mimalloc' 2025-09-07T09:44:58.1616980Z Entering 'third_party/nlohmann' 2025-09-07T09:44:58.1662449Z Entering 'third_party/onnx' 2025-09-07T09:44:58.1720013Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:44:58.1768532Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:44:58.1813831Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:44:58.1854675Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:44:58.1895480Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:44:58.1936218Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:44:58.1978869Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:44:58.2020469Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:44:58.2061820Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:44:58.2102469Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:44:58.2146391Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:44:58.2190191Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:44:58.2251962Z Entering 'third_party/pocketfft' 2025-09-07T09:44:58.2295973Z Entering 'third_party/protobuf' 2025-09-07T09:44:58.2341255Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:44:58.2383233Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:44:58.2427699Z Entering 'third_party/psimd' 2025-09-07T09:44:58.2472271Z Entering 'third_party/pthreadpool' 2025-09-07T09:44:58.2515672Z Entering 'third_party/pybind11' 2025-09-07T09:44:58.2561057Z Entering 'third_party/python-peachpy' 2025-09-07T09:44:58.2604647Z Entering 'third_party/sleef' 2025-09-07T09:44:58.2649093Z Entering 'third_party/tensorpipe' 2025-09-07T09:44:58.2692548Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:44:58.2732969Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:44:58.2773143Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:44:58.2814023Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:44:58.2854443Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:44:58.2915377Z ##[endgroup] 2025-09-07T09:44:58.2955513Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T09:44:58.2981939Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:44:58.3152735Z Prepare all required actions 2025-09-07T09:44:58.3153317Z Getting action download info 2025-09-07T09:44:58.4705428Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T09:44:58.4705657Z env: 2025-09-07T09:44:58.4705813Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:44:58.4706001Z ##[endgroup] 2025-09-07T09:44:58.4752675Z ##[group]Run set -euo pipefail 2025-09-07T09:44:58.4752967Z set -euo pipefail 2025-09-07T09:44:58.4753180Z function get_ec2_metadata() { 2025-09-07T09:44:58.4753452Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T09:44:58.4753904Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T09:44:58.4754292Z  category=$1 2025-09-07T09:44:58.4754809Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T09:44:58.4755129Z  runner_name_str=i-0b7d0f7dc0527ca9b-1004 2025-09-07T09:44:58.4755412Z  if [[ -f /.inarc ]]; then 2025-09-07T09:44:58.4755664Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T09:44:58.4755934Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T09:44:58.4756256Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T09:44:58.4756551Z  else 2025-09-07T09:44:58.4757147Z  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}" 2025-09-07T09:44:58.4757763Z  fi 2025-09-07T09:44:58.4757918Z } 2025-09-07T09:44:58.4758105Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T09:44:58.4758407Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T09:44:58.4758731Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T09:44:58.4759026Z echo "system info $(uname -a)" 2025-09-07T09:44:58.4773750Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:44:58.4774033Z env: 2025-09-07T09:44:58.4774198Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:44:58.4774382Z ##[endgroup] 2025-09-07T09:44:58.4811337Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T09:44:58.4817465Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T09:44:58.4823489Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T09:44:58.4834844Z system info Linux 3d0a5edcbb0c 6.8.0-1017-aws #18~22.04.1-Ubuntu SMP Thu Oct 3 19:57:42 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T09:44:58.4855850Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:44:58.4856561Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:44:58.4871403Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:44:58.4871694Z env: 2025-09-07T09:44:58.4871850Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:44:58.4872045Z ##[endgroup] 2025-09-07T09:44:58.4946195Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:44:58.4946420Z with: 2025-09-07T09:44:58.4946586Z shell: bash 2025-09-07T09:44:58.4946751Z timeout_minutes: 5 2025-09-07T09:44:58.4946925Z max_attempts: 3 2025-09-07T09:44:58.4947098Z retry_wait_seconds: 30 2025-09-07T09:44:58.4948947Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T09:44:58.4950781Z polling_interval_seconds: 1 2025-09-07T09:44:58.4950996Z warning_on_retry: true 2025-09-07T09:44:58.4951187Z continue_on_error: false 2025-09-07T09:44:58.4951376Z env: 2025-09-07T09:44:58.4951520Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:44:58.4951714Z AWS_RETRY_MODE: standard 2025-09-07T09:44:58.4951912Z AWS_MAX_ATTEMPTS: 5 2025-09-07T09:44:58.4952101Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T09:44:58.4952297Z ##[endgroup] 2025-09-07T09:45:00.0779232Z 2025-09-07T09:45:00.0779827Z WARNING! Your credentials are stored unencrypted in '/home/david/.docker/config.json'. 2025-09-07T09:45:00.0780598Z Configure a credential helper to remove this warning. See 2025-09-07T09:45:00.0781265Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:45:00.0781456Z 2025-09-07T09:45:00.0781536Z Login Succeeded 2025-09-07T09:45:00.5686155Z Command completed after 1 attempt(s). 2025-09-07T09:45:00.5757923Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:45:00.5758334Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:45:00.5758657Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:45:00.5773429Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:45:00.5773717Z env: 2025-09-07T09:45:00.5773877Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:00.5774061Z ##[endgroup] 2025-09-07T09:45:00.5864411Z ##[group]Run set +e 2025-09-07T09:45:00.5864641Z set +e 2025-09-07T09:45:00.5864805Z set -x 2025-09-07T09:45:00.5864960Z  2025-09-07T09:45:00.5865139Z PT_DOMAIN=download.pytorch.org 2025-09-07T09:45:00.5865562Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T09:45:00.5866115Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T09:45:00.5866489Z # one is returned at random 2025-09-07T09:45:00.5866775Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T09:45:00.5867035Z  2025-09-07T09:45:00.5867195Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T09:45:00.5867494Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T09:45:00.5867869Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T09:45:00.5868140Z  2025-09-07T09:45:00.5868301Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T09:45:00.5868744Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T09:45:00.5869005Z  exit 1 2025-09-07T09:45:00.5869171Z  fi 2025-09-07T09:45:00.5869322Z fi 2025-09-07T09:45:00.5869469Z  2025-09-07T09:45:00.5869653Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T09:45:00.5869906Z  # Clean up any old records first 2025-09-07T09:45:00.5870155Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T09:45:00.5870518Z fi 2025-09-07T09:45:00.5870688Z  2025-09-07T09:45:00.5870924Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T09:45:00.5871197Z cat /etc/hosts 2025-09-07T09:45:00.5885772Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:45:00.5886053Z env: 2025-09-07T09:45:00.5886210Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:00.5886395Z ##[endgroup] 2025-09-07T09:45:00.5917535Z + PT_DOMAIN=download.pytorch.org 2025-09-07T09:45:00.5923814Z ++ dig -4 +short download.pytorch.org 2025-09-07T09:45:00.5925403Z ++ tail -n1 2025-09-07T09:45:00.6143446Z + RESOLVED_IP=3.170.131.102 2025-09-07T09:45:00.6143795Z + '[' -z 3.170.131.102 ']' 2025-09-07T09:45:00.6144066Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T09:45:00.6157419Z + echo '3.170.131.102 download.pytorch.org' 2025-09-07T09:45:00.6158738Z + sudo tee -a /etc/hosts 2025-09-07T09:45:00.6219242Z 3.170.131.102 download.pytorch.org 2025-09-07T09:45:00.6227783Z + cat /etc/hosts 2025-09-07T09:45:00.6235782Z 127.0.0.1 localhost 2025-09-07T09:45:00.6240657Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T09:45:00.6240989Z fe00:: ip6-localnet 2025-09-07T09:45:00.6241209Z ff00:: ip6-mcastprefix 2025-09-07T09:45:00.6241420Z ff02::1 ip6-allnodes 2025-09-07T09:45:00.6241631Z ff02::2 ip6-allrouters 2025-09-07T09:45:00.6241835Z 172.17.0.2 3d0a5edcbb0c 2025-09-07T09:45:00.6242053Z 3.170.131.102 download.pytorch.org 2025-09-07T09:45:00.6262019Z ##[group]Run set +x 2025-09-07T09:45:00.6262240Z set +x 2025-09-07T09:45:00.6262398Z  2025-09-07T09:45:00.6262544Z max_attempts=30 2025-09-07T09:45:00.6262742Z delay=10 2025-09-07T09:45:00.6263234Z attempt=1 2025-09-07T09:45:00.6263402Z  2025-09-07T09:45:00.6263582Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T09:45:00.6263957Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T09:45:00.6264312Z  if docker info > /dev/null 2>&1; then 2025-09-07T09:45:00.6264617Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T09:45:00.6264901Z  exit 0 2025-09-07T09:45:00.6265064Z  else 2025-09-07T09:45:00.6265248Z  echo "Docker is not running yet." 2025-09-07T09:45:00.6265498Z  echo "Retrying in $delay seconds..." 2025-09-07T09:45:00.6265742Z  sleep $delay 2025-09-07T09:45:00.6265917Z  fi 2025-09-07T09:45:00.6266067Z done 2025-09-07T09:45:00.6266306Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T09:45:00.6266756Z exit 1 2025-09-07T09:45:00.6281296Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:45:00.6281567Z env: 2025-09-07T09:45:00.6281726Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:00.6281910Z ##[endgroup] 2025-09-07T09:45:00.6325528Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T09:45:00.6798760Z Docker is running. Proceeding with the next steps 2025-09-07T09:45:00.6921593Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T09:45:00.6921970Z with: 2025-09-07T09:45:00.6922621Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:00.6923344Z use-custom-docker-registry: true 2025-09-07T09:45:00.6923567Z docker-build-dir: .ci/docker 2025-09-07T09:45:00.6923782Z docker-build-script: ./build.sh 2025-09-07T09:45:00.6923986Z working-directory: . 2025-09-07T09:45:00.6924247Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:00.6924520Z force-push: false 2025-09-07T09:45:00.6924681Z env: 2025-09-07T09:45:00.6924843Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:00.6925026Z ##[endgroup] 2025-09-07T09:45:00.6941415Z ##[group]Run set -ex 2025-09-07T09:45:00.6941662Z set -ex 2025-09-07T09:45:00.6941823Z  2025-09-07T09:45:00.6942154Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T09:45:00.6942620Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T09:45:00.6943097Z # job could then download the pre-built image as usual 2025-09-07T09:45:00.6943585Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T09:45:00.6944024Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.6944268Z else 2025-09-07T09:45:00.6944454Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.6944768Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.6945059Z  2025-09-07T09:45:00.6945450Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T09:45:00.6945883Z  exit 0 2025-09-07T09:45:00.6946032Z fi 2025-09-07T09:45:00.6946176Z  2025-09-07T09:45:00.6946420Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T09:45:00.6946837Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T09:45:00.6947205Z  # use it as it is, but first let's extract the tag 2025-09-07T09:45:00.6947546Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T09:45:00.6948134Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.6948489Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.6948770Z else 2025-09-07T09:45:00.6948959Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T09:45:00.6949217Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T09:45:00.6949502Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T09:45:00.6949745Z  fi 2025-09-07T09:45:00.6950073Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T09:45:00.6950632Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.6951079Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.6951556Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.6951868Z fi 2025-09-07T09:45:00.6965833Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:45:00.6966115Z env: 2025-09-07T09:45:00.6966281Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:00.6966489Z REPO_NAME: pytorch 2025-09-07T09:45:00.6967407Z 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 2025-09-07T09:45:00.6968135Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T09:45:00.6968345Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T09:45:00.6968632Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:00.6968915Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T09:45:00.6969116Z CUSTOM_TAG_PREFIX: 2025-09-07T09:45:00.6969280Z ##[endgroup] 2025-09-07T09:45:00.7012029Z + [[ -d .ci/docker ]] 2025-09-07T09:45:00.7012257Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T09:45:00.7012482Z + [[ true == \t\r\u\e ]] 2025-09-07T09:45:00.7012663Z + echo skip=false 2025-09-07T09:45:00.7013509Z + [[ 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* ]] 2025-09-07T09:45:00.7019807Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:00.7020795Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T09:45:00.7033649Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:00.7034660Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:00.7036110Z + 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 2025-09-07T09:45:00.7057031Z ##[group]Run set +e 2025-09-07T09:45:00.7057272Z set +e 2025-09-07T09:45:00.7057438Z set -x 2025-09-07T09:45:00.7057603Z  2025-09-07T09:45:00.7057749Z login() { 2025-09-07T09:45:00.7058102Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T09:45:00.7058467Z } 2025-09-07T09:45:00.7058614Z  2025-09-07T09:45:00.7058760Z retry () { 2025-09-07T09:45:00.7058944Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T09:45:00.7059166Z } 2025-09-07T09:45:00.7059317Z  2025-09-07T09:45:00.7059479Z retry login "${DOCKER_REGISTRY}" 2025-09-07T09:45:00.7059682Z  2025-09-07T09:45:00.7059842Z START_TIME=$(date +%s) 2025-09-07T09:45:00.7060051Z # Wait up to 120 minutes 2025-09-07T09:45:00.7060725Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T09:45:00.7061069Z  # Check if image already exists, if it does then skip building it 2025-09-07T09:45:00.7061420Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T09:45:00.7061671Z  exit 0 2025-09-07T09:45:00.7061843Z  fi 2025-09-07T09:45:00.7061992Z  2025-09-07T09:45:00.7062258Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T09:45:00.7062715Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T09:45:00.7063277Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T09:45:00.7063644Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T09:45:00.7063922Z  # It's a Docker build job, let's build the image 2025-09-07T09:45:00.7064162Z  break 2025-09-07T09:45:00.7064320Z  else 2025-09-07T09:45:00.7064556Z  # It's a regular build job, wait for the image to become available 2025-09-07T09:45:00.7064837Z  sleep 300 2025-09-07T09:45:00.7065010Z  fi 2025-09-07T09:45:00.7065160Z done 2025-09-07T09:45:00.7065313Z  2025-09-07T09:45:00.7065727Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T09:45:00.7066129Z # be empty. The default action would be to continue rebuild the image 2025-09-07T09:45:00.7066482Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T09:45:00.7066812Z  # if we're on the base branch then use the parent commit 2025-09-07T09:45:00.7067093Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T09:45:00.7067306Z else 2025-09-07T09:45:00.7067530Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T09:45:00.7067859Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T09:45:00.7068106Z fi 2025-09-07T09:45:00.7068246Z  2025-09-07T09:45:00.7068409Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T09:45:00.7068656Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.7068883Z  2025-09-07T09:45:00.7069205Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T09:45:00.7069581Z  exit 0 2025-09-07T09:45:00.7069737Z fi 2025-09-07T09:45:00.7069883Z  2025-09-07T09:45:00.7070101Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T09:45:00.7070725Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T09:45:00.7071122Z  exit 1 2025-09-07T09:45:00.7071279Z fi 2025-09-07T09:45:00.7071439Z  2025-09-07T09:45:00.7071684Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T09:45:00.7072131Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T09:45:00.7072532Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T09:45:00.7073002Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T09:45:00.7073531Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T09:45:00.7073842Z fi 2025-09-07T09:45:00.7073977Z  2025-09-07T09:45:00.7074154Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:45:00.7087086Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:45:00.7087371Z env: 2025-09-07T09:45:00.7087522Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:00.7087727Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T09:45:00.7088155Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:45:00.7088889Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:00.7089853Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:00.7090592Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:00.7090872Z DOCKER_PUSH: 2025-09-07T09:45:00.7091030Z ##[endgroup] 2025-09-07T09:45:00.7119083Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:00.7119419Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:00.7121666Z + aws ecr get-login-password --region us-east-1 2025-09-07T09:45:00.7123889Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:01.5168369Z 2025-09-07T09:45:01.5169195Z WARNING! Your credentials are stored unencrypted in '/home/david/.docker/config.json'. 2025-09-07T09:45:01.5170090Z Configure a credential helper to remove this warning. See 2025-09-07T09:45:01.5171287Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:45:01.5171668Z 2025-09-07T09:45:01.5171806Z Login Succeeded 2025-09-07T09:45:01.5199970Z ++ date +%s 2025-09-07T09:45:01.5211436Z + START_TIME=1757238301 2025-09-07T09:45:01.5215196Z ++ date +%s 2025-09-07T09:45:01.5225636Z + [[ 1757231101 -lt 1757238301 ]] 2025-09-07T09:45:01.5226484Z + 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 2025-09-07T09:45:01.9235389Z { 2025-09-07T09:45:01.9235603Z "schemaVersion": 2, 2025-09-07T09:45:01.9235960Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T09:45:01.9236339Z "config": { 2025-09-07T09:45:01.9236642Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T09:45:01.9236989Z "size": 31375, 2025-09-07T09:45:01.9237338Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T09:45:01.9237773Z }, 2025-09-07T09:45:01.9237940Z "layers": [ 2025-09-07T09:45:01.9238109Z { 2025-09-07T09:45:01.9238392Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9238747Z "size": 30448359, 2025-09-07T09:45:01.9239116Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T09:45:01.9239522Z }, 2025-09-07T09:45:01.9239674Z { 2025-09-07T09:45:01.9239945Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9240613Z "size": 1554, 2025-09-07T09:45:01.9240964Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T09:45:01.9241370Z }, 2025-09-07T09:45:01.9241532Z { 2025-09-07T09:45:01.9241810Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9242166Z "size": 313297922, 2025-09-07T09:45:01.9242523Z "digest": "sha256:4c92b3f72f1df31fe9f487fc1c27fcf1ba475ffb43abd69056306d1247786e40" 2025-09-07T09:45:01.9242931Z }, 2025-09-07T09:45:01.9243090Z { 2025-09-07T09:45:01.9243363Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9243705Z "size": 792, 2025-09-07T09:45:01.9244027Z "digest": "sha256:744f9ba90a6582eb601b3c20409bb10d6dad635dd118c3975f79721f4c82747c" 2025-09-07T09:45:01.9244390Z }, 2025-09-07T09:45:01.9244537Z { 2025-09-07T09:45:01.9244774Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9245092Z "size": 106, 2025-09-07T09:45:01.9245398Z "digest": "sha256:d3c08322a3326e45849dd80264a047c4f42ba4a2419d35c919542e2890e23934" 2025-09-07T09:45:01.9245755Z }, 2025-09-07T09:45:01.9245897Z { 2025-09-07T09:45:01.9246140Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9246744Z "size": 704, 2025-09-07T09:45:01.9247075Z "digest": "sha256:ffd43b71f3ccf3ba563606231cb1d191eb9dd0052f422d54835e6af350525170" 2025-09-07T09:45:01.9247439Z }, 2025-09-07T09:45:01.9247589Z { 2025-09-07T09:45:01.9247854Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9248185Z "size": 1215, 2025-09-07T09:45:01.9248497Z "digest": "sha256:830692b57f6e2758398ec80c3b67a20441d12696b54ed14f2ecebf926198f7d6" 2025-09-07T09:45:01.9248896Z }, 2025-09-07T09:45:01.9249049Z { 2025-09-07T09:45:01.9249298Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9249615Z "size": 482, 2025-09-07T09:45:01.9249922Z "digest": "sha256:5bad36d184686719399be50830a98939d7dbda2313fb407df5915217483fc6a3" 2025-09-07T09:45:01.9250436Z }, 2025-09-07T09:45:01.9250584Z { 2025-09-07T09:45:01.9250829Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9251161Z "size": 110343614, 2025-09-07T09:45:01.9251499Z "digest": "sha256:0e34fdd9ac5c39eb0a9d2c2d258b26f42bb79d7dc0a22014bf201daa2e033eb4" 2025-09-07T09:45:01.9251874Z }, 2025-09-07T09:45:01.9252015Z { 2025-09-07T09:45:01.9252260Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9252580Z "size": 4786, 2025-09-07T09:45:01.9253085Z "digest": "sha256:3c868a62868ef54f82ac11be8dabe1b4365d000bacfe4c104e08022fc96dd767" 2025-09-07T09:45:01.9253465Z }, 2025-09-07T09:45:01.9253608Z { 2025-09-07T09:45:01.9253876Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9254166Z "size": 1710, 2025-09-07T09:45:01.9254459Z "digest": "sha256:62170a22dd571d55ffccac64c0be17f4006d2498cfbf7c6289325f0899cba005" 2025-09-07T09:45:01.9254782Z }, 2025-09-07T09:45:01.9254914Z { 2025-09-07T09:45:01.9255137Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9255407Z "size": 724, 2025-09-07T09:45:01.9255687Z "digest": 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"sha256:bc127046d33a7a98563698411b54ece8a167d520922879d7b69e8ca73a12d034" 2025-09-07T09:45:01.9316630Z }, 2025-09-07T09:45:01.9316766Z { 2025-09-07T09:45:01.9316981Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9317256Z "size": 32, 2025-09-07T09:45:01.9317520Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T09:45:01.9317835Z }, 2025-09-07T09:45:01.9317959Z { 2025-09-07T09:45:01.9318163Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9318435Z "size": 104, 2025-09-07T09:45:01.9318704Z "digest": "sha256:951e8ce838415c4257680a9d60d216f3750cbb18d243d9a21e2008cce7e589cf" 2025-09-07T09:45:01.9319010Z }, 2025-09-07T09:45:01.9319134Z { 2025-09-07T09:45:01.9319342Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9319617Z "size": 408, 2025-09-07T09:45:01.9319906Z "digest": "sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T09:45:01.9320340Z }, 2025-09-07T09:45:01.9320462Z { 2025-09-07T09:45:01.9320675Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9320953Z "size": 32, 2025-09-07T09:45:01.9321226Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T09:45:01.9321537Z }, 2025-09-07T09:45:01.9321672Z { 2025-09-07T09:45:01.9321886Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9322161Z "size": 109, 2025-09-07T09:45:01.9322433Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T09:45:01.9322765Z }, 2025-09-07T09:45:01.9322893Z { 2025-09-07T09:45:01.9323106Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9323378Z "size": 1897, 2025-09-07T09:45:01.9323666Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T09:45:01.9323991Z }, 2025-09-07T09:45:01.9324119Z { 2025-09-07T09:45:01.9324325Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9324606Z "size": 243440375, 2025-09-07T09:45:01.9324893Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T09:45:01.9325209Z }, 2025-09-07T09:45:01.9325327Z { 2025-09-07T09:45:01.9325538Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9325827Z "size": 106, 2025-09-07T09:45:01.9326096Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T09:45:01.9326545Z }, 2025-09-07T09:45:01.9326672Z { 2025-09-07T09:45:01.9326883Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9327157Z "size": 166, 2025-09-07T09:45:01.9327417Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T09:45:01.9327724Z }, 2025-09-07T09:45:01.9327851Z { 2025-09-07T09:45:01.9328066Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9328349Z "size": 7943, 2025-09-07T09:45:01.9328623Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T09:45:01.9328934Z }, 2025-09-07T09:45:01.9329060Z { 2025-09-07T09:45:01.9329266Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9329540Z "size": 8072, 2025-09-07T09:45:01.9329822Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T09:45:01.9330139Z }, 2025-09-07T09:45:01.9330372Z { 2025-09-07T09:45:01.9330586Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9330868Z "size": 304, 2025-09-07T09:45:01.9331141Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T09:45:01.9331449Z }, 2025-09-07T09:45:01.9331580Z { 2025-09-07T09:45:01.9331934Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9332239Z "size": 13362696, 2025-09-07T09:45:01.9332527Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T09:45:01.9332835Z }, 2025-09-07T09:45:01.9332962Z { 2025-09-07T09:45:01.9333175Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9333447Z "size": 108, 2025-09-07T09:45:01.9333717Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T09:45:01.9334031Z }, 2025-09-07T09:45:01.9334157Z { 2025-09-07T09:45:01.9334368Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9334648Z "size": 54145663, 2025-09-07T09:45:01.9334929Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T09:45:01.9335244Z }, 2025-09-07T09:45:01.9335368Z { 2025-09-07T09:45:01.9335586Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:45:01.9335862Z "size": 32, 2025-09-07T09:45:01.9336136Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T09:45:01.9336445Z } 2025-09-07T09:45:01.9336572Z ] 2025-09-07T09:45:01.9336699Z } 2025-09-07T09:45:01.9336841Z + exit 0 2025-09-07T09:45:01.9358731Z ##[group]Run set -eux 2025-09-07T09:45:01.9358935Z set -eux 2025-09-07T09:45:01.9359244Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T09:45:01.9360053Z 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 2025-09-07T09:45:01.9411056Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:45:01.9411347Z env: 2025-09-07T09:45:01.9411507Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:01.9411697Z ##[endgroup] 2025-09-07T09:45:01.9446112Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T09:45:01.9447765Z + jq --raw-output .SecretString 2025-09-07T09:45:01.9449721Z + jq -r .docker_hub_readonly_token 2025-09-07T09:45:01.9451036Z + docker login --username pytorchbot --password-stdin 2025-09-07T09:45:02.5091180Z 2025-09-07T09:45:02.5093281Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gh-ci-github-action-runners-runner-role/i-0b7d0f7dc0527ca9b is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-09-07T09:45:02.5943259Z Error: Cannot perform an interactive login from a non TTY device 2025-09-07T09:45:02.5967645Z + true 2025-09-07T09:45:02.6048086Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T09:45:02.6048410Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T09:45:02.6048719Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T09:45:02.6063053Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:45:02.6063373Z env: 2025-09-07T09:45:02.6063549Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:02.6064318Z 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 2025-09-07T09:45:02.6065113Z ##[endgroup] 2025-09-07T09:45:02.6099992Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:02.6217354Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T09:45:02.6217790Z with: 2025-09-07T09:45:02.6218649Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:02.6219664Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:02.6220037Z env: 2025-09-07T09:45:02.6220434Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:02.6220687Z ##[endgroup] 2025-09-07T09:45:02.6602244Z ##[group]Run set -x 2025-09-07T09:45:02.6602546Z set -x 2025-09-07T09:45:02.6602805Z set +e 2025-09-07T09:45:02.6603052Z  2025-09-07T09:45:02.6603282Z login() { 2025-09-07T09:45:02.6603840Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T09:45:02.6604451Z } 2025-09-07T09:45:02.6604682Z  2025-09-07T09:45:02.6604935Z retry () { 2025-09-07T09:45:02.6605235Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T09:45:02.6605585Z } 2025-09-07T09:45:02.6605809Z  2025-09-07T09:45:02.6606061Z retry login "${DOCKER_REGISTRY}" 2025-09-07T09:45:02.6606407Z  2025-09-07T09:45:02.6606953Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T09:45:02.6607714Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T09:45:02.6608138Z  2025-09-07T09:45:02.6608365Z set -e 2025-09-07T09:45:02.6608757Z # ignore output since only exit code is used for conditional 2025-09-07T09:45:02.6609320Z # only pull docker image if it's not available locally 2025-09-07T09:45:02.6609944Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T09:45:02.6610696Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T09:45:02.6611059Z fi 2025-09-07T09:45:02.6625707Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:45:02.6626033Z env: 2025-09-07T09:45:02.6626213Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:45:02.6626982Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:02.6627840Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:02.6628145Z ##[endgroup] 2025-09-07T09:45:02.6665442Z + set +e 2025-09-07T09:45:02.6665816Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:02.6666319Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:02.6669526Z + aws ecr get-login-password --region us-east-1 2025-09-07T09:45:02.6671073Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:45:03.4651619Z 2025-09-07T09:45:03.4652121Z WARNING! Your credentials are stored unencrypted in '/home/david/.docker/config.json'. 2025-09-07T09:45:03.4652834Z Configure a credential helper to remove this warning. See 2025-09-07T09:45:03.4653352Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:45:03.4653638Z 2025-09-07T09:45:03.4653752Z Login Succeeded 2025-09-07T09:45:03.4687488Z ++ 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 2025-09-07T09:45:03.4688789Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T09:45:03.8886050Z + IMAGE_SIZE=36183.606596946716 2025-09-07T09:45:03.8886475Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T09:45:03.8886914Z + set -e 2025-09-07T09:45:03.8887223Z Compressed size of image in MB: 36183.606596946716 2025-09-07T09:45:03.8888853Z + 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 2025-09-07T09:45:03.9029275Z + 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 2025-09-07T09:45:03.9031418Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:45:04.3237865Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T09:45:04.3238733Z e6fdc8487bfe: Pulling fs layer 2025-09-07T09:45:04.3239008Z 171dcef20c49: Pulling fs layer 2025-09-07T09:45:04.3239270Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T09:45:04.3239524Z 744f9ba90a65: Pulling fs layer 2025-09-07T09:45:04.3239795Z d3c08322a332: Pulling fs layer 2025-09-07T09:45:04.3240050Z ffd43b71f3cc: Pulling fs layer 2025-09-07T09:45:04.3240692Z 830692b57f6e: Pulling fs layer 2025-09-07T09:45:04.3240946Z 5bad36d18468: Pulling fs layer 2025-09-07T09:45:04.3241199Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T09:45:04.3241452Z 3c868a62868e: Pulling fs layer 2025-09-07T09:45:04.3241700Z 62170a22dd57: Pulling fs layer 2025-09-07T09:45:04.3241945Z d3c08322a332: Waiting 2025-09-07T09:45:04.3242168Z 553c1d23b6c4: Pulling fs layer 2025-09-07T09:45:04.3242417Z 9408d557a804: Pulling fs layer 2025-09-07T09:45:04.3242669Z df607cfc7c07: Pulling fs layer 2025-09-07T09:45:04.3242922Z 4f4fb700ef54: Pulling fs layer 2025-09-07T09:45:04.3243165Z 830692b57f6e: Waiting 2025-09-07T09:45:04.3243383Z ffd43b71f3cc: Waiting 2025-09-07T09:45:04.3243595Z 5bad36d18468: Waiting 2025-09-07T09:45:04.3243820Z 40a8e39faeda: Pulling fs layer 2025-09-07T09:45:04.3244066Z 0e34fdd9ac5c: Waiting 2025-09-07T09:45:04.3244291Z d895771c9fac: Pulling fs layer 2025-09-07T09:45:04.3244522Z 3c868a62868e: Waiting 2025-09-07T09:45:04.3244754Z 62170a22dd57: Waiting 2025-09-07T09:45:04.3244950Z c4ee04f39d49: Pulling fs layer 2025-09-07T09:45:04.3245174Z 3690c9826e48: Pulling fs layer 2025-09-07T09:45:04.3245392Z 553c1d23b6c4: Waiting 2025-09-07T09:45:04.3245592Z 57cbc5013733: Pulling fs layer 2025-09-07T09:45:04.3245813Z f5f4b06b58bb: Pulling fs layer 2025-09-07T09:45:04.3246040Z f59713ce4bf4: Pulling fs layer 2025-09-07T09:45:04.3246266Z fe0486521517: Pulling fs layer 2025-09-07T09:45:04.3246489Z 8c21cc3715a2: Pulling fs layer 2025-09-07T09:45:04.3246698Z 744f9ba90a65: Waiting 2025-09-07T09:45:04.3246895Z d37c58456a6a: Pulling fs layer 2025-09-07T09:45:04.3247112Z 40a8e39faeda: Waiting 2025-09-07T09:45:04.3247302Z 9408d557a804: Waiting 2025-09-07T09:45:04.3247496Z d042f63abc13: Pulling fs layer 2025-09-07T09:45:04.3247715Z d895771c9fac: Waiting 2025-09-07T09:45:04.3247924Z 621284a9c05a: Pulling fs layer 2025-09-07T09:45:04.3248145Z df607cfc7c07: Waiting 2025-09-07T09:45:04.3248637Z c4ee04f39d49: Waiting 2025-09-07T09:45:04.3248838Z 4f4fb700ef54: Waiting 2025-09-07T09:45:04.3249038Z 85f605d2dd3a: Pulling fs layer 2025-09-07T09:45:04.3249256Z 57cbc5013733: Waiting 2025-09-07T09:45:04.3249447Z 381b5539e598: Pulling fs layer 2025-09-07T09:45:04.3249678Z fe0486521517: Waiting 2025-09-07T09:45:04.3249869Z 8c21cc3715a2: Waiting 2025-09-07T09:45:04.3250066Z a487c0c80029: Pulling fs layer 2025-09-07T09:45:04.3250475Z 48bcb81e2566: Pulling fs layer 2025-09-07T09:45:04.3250697Z d37c58456a6a: Waiting 2025-09-07T09:45:04.3250897Z e261928c0043: Pulling fs layer 2025-09-07T09:45:04.3251113Z d042f63abc13: Waiting 2025-09-07T09:45:04.3251306Z 0fea55428091: Pulling fs layer 2025-09-07T09:45:04.3251534Z b4291bccbb84: Pulling fs layer 2025-09-07T09:45:04.3251753Z 621284a9c05a: Waiting 2025-09-07T09:45:04.3251952Z ddc91b09189a: Pulling fs layer 2025-09-07T09:45:04.3252166Z f5f4b06b58bb: Waiting 2025-09-07T09:45:04.3252373Z 7540c7428627: Pulling fs layer 2025-09-07T09:45:04.3252602Z 003c4e2598fb: Pulling fs layer 2025-09-07T09:45:04.3253050Z f59713ce4bf4: Waiting 2025-09-07T09:45:04.3253247Z 85f605d2dd3a: Waiting 2025-09-07T09:45:04.3253450Z 5687149362ae: Pulling fs layer 2025-09-07T09:45:04.3253689Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T09:45:04.3253916Z e261928c0043: Waiting 2025-09-07T09:45:04.3254099Z 3690c9826e48: Waiting 2025-09-07T09:45:04.3254291Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T09:45:04.3254483Z 381b5539e598: Waiting 2025-09-07T09:45:04.3254651Z 3c9055753b4c: Pulling fs layer 2025-09-07T09:45:04.3254838Z 0fea55428091: Waiting 2025-09-07T09:45:04.3255018Z 48bcb81e2566: Waiting 2025-09-07T09:45:04.3255205Z a487c0c80029: Waiting 2025-09-07T09:45:04.3255371Z b4291bccbb84: Waiting 2025-09-07T09:45:04.3255592Z cdd2cf54eb2a: Waiting 2025-09-07T09:45:04.3255757Z d3ad4df1ba3a: Waiting 2025-09-07T09:45:04.3255921Z 5687149362ae: Waiting 2025-09-07T09:45:04.3256087Z ddc91b09189a: Waiting 2025-09-07T09:45:04.3256238Z 003c4e2598fb: Waiting 2025-09-07T09:45:04.3256423Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T09:45:04.3256608Z 7540c7428627: Waiting 2025-09-07T09:45:04.3256765Z 6623ea814971: Pulling fs layer 2025-09-07T09:45:04.3256934Z 31cf8d0bd21c: Waiting 2025-09-07T09:45:04.3257096Z 11696c3aa380: Pulling fs layer 2025-09-07T09:45:04.3257281Z ef4d544e35ca: Pulling fs layer 2025-09-07T09:45:04.3257469Z 11696c3aa380: Waiting 2025-09-07T09:45:04.3257615Z 3c9055753b4c: Waiting 2025-09-07T09:45:04.3257767Z 6623ea814971: Waiting 2025-09-07T09:45:04.3257930Z 5c5108865e5e: Pulling fs layer 2025-09-07T09:45:04.3258181Z 9e97578e9edf: Pulling fs layer 2025-09-07T09:45:04.3258526Z da5a91b54cb5: Pulling fs layer 2025-09-07T09:45:04.3258733Z 1e93be219e89: Pulling fs layer 2025-09-07T09:45:04.3258918Z ef4d544e35ca: Waiting 2025-09-07T09:45:04.3259083Z 136825afebb5: Pulling fs layer 2025-09-07T09:45:04.3259252Z da5a91b54cb5: Waiting 2025-09-07T09:45:04.3259415Z 22b39805302d: Pulling fs layer 2025-09-07T09:45:04.3259598Z d12add675e35: Pulling fs layer 2025-09-07T09:45:04.3259777Z 5c5108865e5e: Waiting 2025-09-07T09:45:04.3259933Z 136825afebb5: Waiting 2025-09-07T09:45:04.3260096Z bc127046d33a: Pulling fs layer 2025-09-07T09:45:04.3260418Z 1e93be219e89: Waiting 2025-09-07T09:45:04.3260594Z d12add675e35: Waiting 2025-09-07T09:45:04.3260749Z bc127046d33a: Waiting 2025-09-07T09:45:04.3260909Z 951e8ce83841: Pulling fs layer 2025-09-07T09:45:04.3261093Z 32340b97ae50: Pulling fs layer 2025-09-07T09:45:04.3261285Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T09:45:04.3261479Z d8c4b845cfc7: Pulling fs layer 2025-09-07T09:45:04.3261664Z b35c180f4d8d: Pulling fs layer 2025-09-07T09:45:04.3261849Z 5f967b3c303a: Pulling fs layer 2025-09-07T09:45:04.3262033Z 04770904f012: Pulling fs layer 2025-09-07T09:45:04.3262199Z 5bbb04cd6b57: Waiting 2025-09-07T09:45:04.3262360Z 73373941fb32: Pulling fs layer 2025-09-07T09:45:04.3262541Z 9572e6cd907b: Pulling fs layer 2025-09-07T09:45:04.3262717Z 5f967b3c303a: Waiting 2025-09-07T09:45:04.3262988Z 951e8ce83841: Waiting 2025-09-07T09:45:04.3263151Z 32340b97ae50: Waiting 2025-09-07T09:45:04.3263495Z d8c4b845cfc7: Waiting 2025-09-07T09:45:04.3263666Z b35c180f4d8d: Waiting 2025-09-07T09:45:04.3263835Z 64a544aba233: Pulling fs layer 2025-09-07T09:45:04.3264022Z 7e35418a2499: Pulling fs layer 2025-09-07T09:45:04.3264202Z 9572e6cd907b: Waiting 2025-09-07T09:45:04.3264366Z 2ed8e82748d4: Pulling fs layer 2025-09-07T09:45:04.3264547Z c988fbcccd70: Pulling fs layer 2025-09-07T09:45:04.3264725Z 04770904f012: Waiting 2025-09-07T09:45:04.3264896Z 7e35418a2499: Waiting 2025-09-07T09:45:04.3265052Z 2ed8e82748d4: Waiting 2025-09-07T09:45:04.3265202Z c988fbcccd70: Waiting 2025-09-07T09:45:04.5103912Z 171dcef20c49: Download complete 2025-09-07T09:45:04.6661652Z 744f9ba90a65: Verifying Checksum 2025-09-07T09:45:04.6662031Z 744f9ba90a65: Download complete 2025-09-07T09:45:04.7759826Z e6fdc8487bfe: Verifying Checksum 2025-09-07T09:45:04.7760501Z e6fdc8487bfe: Download complete 2025-09-07T09:45:04.8290465Z d3c08322a332: Download complete 2025-09-07T09:45:04.9553988Z ffd43b71f3cc: Verifying Checksum 2025-09-07T09:45:04.9554897Z ffd43b71f3cc: Download complete 2025-09-07T09:45:04.9975159Z 830692b57f6e: Download complete 2025-09-07T09:45:05.1332615Z 5bad36d18468: Download complete 2025-09-07T09:45:05.2871961Z 3c868a62868e: Verifying Checksum 2025-09-07T09:45:05.2872347Z 3c868a62868e: Download complete 2025-09-07T09:45:05.4558622Z 62170a22dd57: Verifying Checksum 2025-09-07T09:45:05.4559678Z 62170a22dd57: Download complete 2025-09-07T09:45:05.5701098Z e6fdc8487bfe: Pull complete 2025-09-07T09:45:05.6153357Z 171dcef20c49: Pull complete 2025-09-07T09:45:05.6202210Z 553c1d23b6c4: Verifying Checksum 2025-09-07T09:45:05.6202541Z 553c1d23b6c4: Download complete 2025-09-07T09:45:05.7821459Z 9408d557a804: Verifying Checksum 2025-09-07T09:45:05.7821792Z 9408d557a804: Download complete 2025-09-07T09:45:06.2521610Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T09:45:06.2522020Z 0e34fdd9ac5c: Download complete 2025-09-07T09:45:06.3075291Z 4f4fb700ef54: Verifying Checksum 2025-09-07T09:45:06.3075661Z 4f4fb700ef54: Download complete 2025-09-07T09:45:06.4575901Z 40a8e39faeda: Verifying Checksum 2025-09-07T09:45:06.4576297Z 40a8e39faeda: Download complete 2025-09-07T09:45:07.1397511Z d895771c9fac: Verifying Checksum 2025-09-07T09:45:07.1397879Z d895771c9fac: Download complete 2025-09-07T09:45:07.3019873Z c4ee04f39d49: Download complete 2025-09-07T09:45:07.5964620Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T09:45:07.5965131Z 4c92b3f72f1d: Download complete 2025-09-07T09:45:07.5969951Z 3690c9826e48: Verifying Checksum 2025-09-07T09:45:07.5970498Z 3690c9826e48: Download complete 2025-09-07T09:45:07.7622198Z f5f4b06b58bb: Download complete 2025-09-07T09:45:07.7702427Z 57cbc5013733: Verifying Checksum 2025-09-07T09:45:07.9030672Z 57cbc5013733: Download complete 2025-09-07T09:45:07.9031069Z f59713ce4bf4: Verifying Checksum 2025-09-07T09:45:07.9031468Z f59713ce4bf4: Download complete 2025-09-07T09:45:07.9558343Z fe0486521517: Verifying Checksum 2025-09-07T09:45:07.9558677Z fe0486521517: Download complete 2025-09-07T09:45:08.1339603Z d37c58456a6a: Verifying Checksum 2025-09-07T09:45:08.1339983Z d37c58456a6a: Download complete 2025-09-07T09:45:08.6483949Z d042f63abc13: Verifying Checksum 2025-09-07T09:45:08.6484348Z d042f63abc13: Download complete 2025-09-07T09:45:08.8126228Z 621284a9c05a: Verifying Checksum 2025-09-07T09:45:08.8126555Z 621284a9c05a: Download complete 2025-09-07T09:45:08.9740658Z 85f605d2dd3a: Download complete 2025-09-07T09:45:13.6404245Z 381b5539e598: Verifying Checksum 2025-09-07T09:45:13.6404749Z 381b5539e598: Download complete 2025-09-07T09:45:13.7976387Z a487c0c80029: Verifying Checksum 2025-09-07T09:45:13.7976893Z a487c0c80029: Download complete 2025-09-07T09:45:14.0354663Z 48bcb81e2566: Verifying Checksum 2025-09-07T09:45:14.0354948Z 48bcb81e2566: Download complete 2025-09-07T09:45:14.3045064Z e261928c0043: Verifying Checksum 2025-09-07T09:45:14.3045400Z e261928c0043: Download complete 2025-09-07T09:45:14.4917144Z 0fea55428091: Verifying Checksum 2025-09-07T09:45:14.4917504Z 0fea55428091: Download complete 2025-09-07T09:45:14.9604671Z b4291bccbb84: Verifying Checksum 2025-09-07T09:45:14.9605077Z b4291bccbb84: Download complete 2025-09-07T09:45:15.1735270Z ddc91b09189a: Verifying Checksum 2025-09-07T09:45:15.1735658Z ddc91b09189a: Download complete 2025-09-07T09:45:15.3621422Z 7540c7428627: Verifying Checksum 2025-09-07T09:45:15.3621742Z 7540c7428627: Download complete 2025-09-07T09:45:15.3727816Z 4c92b3f72f1d: Pull complete 2025-09-07T09:45:15.5261588Z 003c4e2598fb: Verifying Checksum 2025-09-07T09:45:15.5261908Z 003c4e2598fb: Download complete 2025-09-07T09:45:15.7588373Z 5687149362ae: Verifying Checksum 2025-09-07T09:45:15.7588656Z 5687149362ae: Download complete 2025-09-07T09:45:15.9279297Z cdd2cf54eb2a: Verifying Checksum 2025-09-07T09:45:15.9279667Z cdd2cf54eb2a: Download complete 2025-09-07T09:45:18.6534917Z 744f9ba90a65: Pull complete 2025-09-07T09:45:20.4058269Z d3c08322a332: Pull complete 2025-09-07T09:45:21.5431972Z ffd43b71f3cc: Pull complete 2025-09-07T09:45:24.9654872Z 830692b57f6e: Pull complete 2025-09-07T09:45:28.5308235Z 5bad36d18468: Pull complete 2025-09-07T09:45:33.6924450Z 0e34fdd9ac5c: Pull complete 2025-09-07T09:45:38.1413721Z 3c868a62868e: Pull complete 2025-09-07T09:45:41.3649676Z 62170a22dd57: Pull complete 2025-09-07T09:45:44.1431057Z 553c1d23b6c4: Pull complete 2025-09-07T09:45:46.6358438Z df607cfc7c07: Verifying Checksum 2025-09-07T09:45:46.6358779Z df607cfc7c07: Download complete 2025-09-07T09:45:46.9341401Z 3c9055753b4c: Verifying Checksum 2025-09-07T09:45:46.9341779Z 3c9055753b4c: Download complete 2025-09-07T09:45:47.4739799Z 9408d557a804: Pull complete 2025-09-07T09:45:50.6288049Z 31cf8d0bd21c: Verifying Checksum 2025-09-07T09:45:50.6288421Z 31cf8d0bd21c: Download complete 2025-09-07T09:46:26.9335350Z 8c21cc3715a2: Verifying Checksum 2025-09-07T09:46:26.9335725Z 8c21cc3715a2: Download complete 2025-09-07T09:46:27.3909598Z 11696c3aa380: Download complete 2025-09-07T09:46:27.5822683Z ef4d544e35ca: Verifying Checksum 2025-09-07T09:46:27.5823320Z ef4d544e35ca: Download complete 2025-09-07T09:46:27.9520526Z 5c5108865e5e: Verifying Checksum 2025-09-07T09:46:27.9520904Z 5c5108865e5e: Download complete 2025-09-07T09:46:28.1014851Z 9e97578e9edf: Verifying Checksum 2025-09-07T09:46:28.1015144Z 9e97578e9edf: Download complete 2025-09-07T09:46:28.2793450Z da5a91b54cb5: Verifying Checksum 2025-09-07T09:46:28.2793747Z da5a91b54cb5: Download complete 2025-09-07T09:46:28.5624953Z 1e93be219e89: Verifying Checksum 2025-09-07T09:46:28.5625275Z 1e93be219e89: Download complete 2025-09-07T09:46:28.7835637Z 136825afebb5: Verifying Checksum 2025-09-07T09:46:28.7835930Z 136825afebb5: Download complete 2025-09-07T09:46:28.9517927Z 22b39805302d: Verifying Checksum 2025-09-07T09:46:28.9518436Z 22b39805302d: Download complete 2025-09-07T09:46:29.2331630Z d12add675e35: Verifying Checksum 2025-09-07T09:46:29.2332116Z d12add675e35: Download complete 2025-09-07T09:46:29.3981893Z bc127046d33a: Download complete 2025-09-07T09:46:29.5943835Z 951e8ce83841: Verifying Checksum 2025-09-07T09:46:29.5944140Z 951e8ce83841: Download complete 2025-09-07T09:46:29.8211536Z 32340b97ae50: Verifying Checksum 2025-09-07T09:46:29.8211865Z 32340b97ae50: Download complete 2025-09-07T09:46:30.0548426Z 5bbb04cd6b57: Verifying Checksum 2025-09-07T09:46:30.0548782Z 5bbb04cd6b57: Download complete 2025-09-07T09:46:30.0884485Z df607cfc7c07: Pull complete 2025-09-07T09:46:30.2307823Z d8c4b845cfc7: Verifying Checksum 2025-09-07T09:46:30.2308122Z d8c4b845cfc7: Download complete 2025-09-07T09:46:32.8232216Z b35c180f4d8d: Verifying Checksum 2025-09-07T09:46:32.8232642Z b35c180f4d8d: Download complete 2025-09-07T09:46:32.9909808Z 5f967b3c303a: Verifying Checksum 2025-09-07T09:46:32.9910629Z 5f967b3c303a: Download complete 2025-09-07T09:46:33.1936386Z 04770904f012: Verifying Checksum 2025-09-07T09:46:33.1936687Z 04770904f012: Download complete 2025-09-07T09:46:33.2024649Z 4f4fb700ef54: Pull complete 2025-09-07T09:46:33.3681370Z 73373941fb32: Verifying Checksum 2025-09-07T09:46:33.3681696Z 73373941fb32: Download complete 2025-09-07T09:46:33.5405220Z 9572e6cd907b: Verifying Checksum 2025-09-07T09:46:33.5405912Z 9572e6cd907b: Download complete 2025-09-07T09:46:33.6950843Z 64a544aba233: Verifying Checksum 2025-09-07T09:46:33.6951155Z 64a544aba233: Download complete 2025-09-07T09:46:34.0636805Z 7e35418a2499: Verifying Checksum 2025-09-07T09:46:34.0637108Z 7e35418a2499: Download complete 2025-09-07T09:46:34.3195934Z 2ed8e82748d4: Verifying Checksum 2025-09-07T09:46:34.3196217Z 2ed8e82748d4: Download complete 2025-09-07T09:46:35.0391974Z c988fbcccd70: Verifying Checksum 2025-09-07T09:46:35.0392287Z c988fbcccd70: Download complete 2025-09-07T09:46:35.5472423Z 40a8e39faeda: Pull complete 2025-09-07T09:46:38.1410697Z d895771c9fac: Pull complete 2025-09-07T09:46:42.3921789Z c4ee04f39d49: Pull complete 2025-09-07T09:46:45.7048469Z 3690c9826e48: Pull complete 2025-09-07T09:46:49.2979056Z 57cbc5013733: Pull complete 2025-09-07T09:46:51.4086286Z f5f4b06b58bb: Pull complete 2025-09-07T09:46:52.4223312Z f59713ce4bf4: Pull complete 2025-09-07T09:46:53.3880120Z fe0486521517: Pull complete 2025-09-07T09:46:56.0037067Z 6623ea814971: Verifying Checksum 2025-09-07T09:46:56.0037405Z 6623ea814971: Download complete 2025-09-07T09:47:47.0532619Z 8c21cc3715a2: Pull complete 2025-09-07T09:47:49.7224116Z d37c58456a6a: Pull complete 2025-09-07T09:47:52.2903868Z d042f63abc13: Pull complete 2025-09-07T09:47:55.5751111Z 621284a9c05a: Pull complete 2025-09-07T09:47:57.8834919Z 85f605d2dd3a: Pull complete 2025-09-07T09:48:05.1211894Z 381b5539e598: Pull complete 2025-09-07T09:48:07.1447472Z a487c0c80029: Pull complete 2025-09-07T09:48:10.0695532Z 48bcb81e2566: Pull complete 2025-09-07T09:48:15.6277544Z e261928c0043: Pull complete 2025-09-07T09:48:18.1657203Z 0fea55428091: Pull complete 2025-09-07T09:48:20.6131576Z b4291bccbb84: Pull complete 2025-09-07T09:48:22.6018933Z d3ad4df1ba3a: Verifying Checksum 2025-09-07T09:48:22.6019296Z d3ad4df1ba3a: Download complete 2025-09-07T09:48:22.8000088Z ddc91b09189a: Pull complete 2025-09-07T09:48:25.4526988Z 7540c7428627: Pull complete 2025-09-07T09:48:31.1491331Z 003c4e2598fb: Pull complete 2025-09-07T09:48:33.4226645Z 5687149362ae: Pull complete 2025-09-07T09:48:36.1253621Z cdd2cf54eb2a: Pull complete 2025-09-07T09:51:35.7352961Z d3ad4df1ba3a: Pull complete 2025-09-07T09:51:36.3511215Z 3c9055753b4c: Pull complete 2025-09-07T09:51:38.0566202Z 31cf8d0bd21c: Pull complete 2025-09-07T09:52:56.7897882Z 6623ea814971: Pull complete 2025-09-07T09:52:57.8485364Z 11696c3aa380: Pull complete 2025-09-07T09:52:58.9222540Z ef4d544e35ca: Pull complete 2025-09-07T09:53:04.2702639Z 5c5108865e5e: Pull complete 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7e35418a2499: Pull complete 2025-09-07T09:54:10.4306604Z 2ed8e82748d4: Pull complete 2025-09-07T09:54:14.5167732Z c988fbcccd70: Pull complete 2025-09-07T09:54:18.8549313Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T09:54:19.6092533Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:54:19.7133293Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:54:19.7268048Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:54:19.7268823Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:54:19.7283522Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:19.7283805Z env: 2025-09-07T09:54:19.7283976Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:19.7284184Z ##[endgroup] 2025-09-07T09:54:19.9564525Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T09:54:19.9565581Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T09:54:19.9582052Z shell: /usr/bin/bash -e {0} 2025-09-07T09:54:19.9582314Z env: 2025-09-07T09:54:19.9582507Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:19.9582732Z ##[endgroup] 2025-09-07T09:54:19.9654968Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T09:54:19.9655618Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T09:54:19.9670424Z shell: /usr/bin/bash -e {0} 2025-09-07T09:54:19.9670645Z env: 2025-09-07T09:54:19.9670805Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:19.9671051Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:19.9671313Z ##[endgroup] 2025-09-07T09:54:19.9734779Z Prepare all required actions 2025-09-07T09:54:19.9800712Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T09:54:19.9800967Z with: 2025-09-07T09:54:19.9801315Z github-token: *** 2025-09-07T09:54:19.9801482Z env: 2025-09-07T09:54:19.9801634Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:19.9801891Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:19.9802217Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:19.9802479Z ##[endgroup] 2025-09-07T09:54:20.0036747Z ##[group]Run set -eux 2025-09-07T09:54:20.0036999Z set -eux 2025-09-07T09:54:20.0037378Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T09:54:20.0051590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:20.0051871Z env: 2025-09-07T09:54:20.0052037Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:20.0052286Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:20.0052651Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:20.0053091Z GITHUB_TOKEN: *** 2025-09-07T09:54:20.0053276Z ##[endgroup] 2025-09-07T09:54:20.0219123Z + python3 .github/scripts/get_workflow_job_id.py 17525296438 i-0b7d0f7dc0527ca9b-1004 2025-09-07T09:54:20.8395021Z Setting output job-id=49775781840 2025-09-07T09:54:20.8395510Z Setting output job-name=test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T09:54:20.8519550Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T09:54:20.8520120Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T09:54:20.8520984Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T09:54:20.8521581Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:54:20.8535781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:20.8536068Z env: 2025-09-07T09:54:20.8536227Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:20.8536481Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:20.8536804Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:20.8537286Z JOB_ID: 49775781840 2025-09-07T09:54:20.8537603Z JOB_NAME: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T09:54:20.8537959Z WORKFLOW_NAME: inductor-perf-nightly-h100 2025-09-07T09:54:20.8538195Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T09:54:20.8538390Z MONITOR_LOG_INTERVAL: 15 2025-09-07T09:54:20.8538587Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T09:54:20.8538790Z ##[endgroup] 2025-09-07T09:54:21.1429531Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:54:21.6829227Z Collecting psutil==5.9.8 2025-09-07T09:54:21.7426638Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-09-07T09:54:21.9244602Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 1.6 MB/s eta 0:00:00 2025-09-07T09:54:22.0376252Z Collecting dataclasses_json==0.6.7 2025-09-07T09:54:22.0493869Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T09:54:22.1963236Z Collecting nvidia-ml-py==11.525.84 2025-09-07T09:54:22.2081350Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T09:54:22.4346184Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T09:54:22.4461193Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T09:54:22.7284994Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 144.9 kB/s eta 0:00:00 2025-09-07T09:54:22.8910986Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T09:54:22.9027480Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T09:54:23.0947686Z Collecting packaging>=17.0 2025-09-07T09:54:23.1075093Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T09:54:23.1928241Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 674.4 kB/s eta 0:00:00 2025-09-07T09:54:23.3127598Z Collecting typing-extensions>=3.7.4 2025-09-07T09:54:23.3248931Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T09:54:23.4082993Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 423.7 kB/s eta 0:00:00 2025-09-07T09:54:23.4655630Z Collecting mypy-extensions>=0.3.0 2025-09-07T09:54:23.4773199Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T09:54:23.6151711Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T09:54:26.8258778Z Successfully installed dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T09:54:26.8843713Z Prepare all required actions 2025-09-07T09:54:26.8844059Z Getting action download info 2025-09-07T09:54:27.0628141Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T09:54:27.4051157Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T09:54:27.8049083Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T09:54:27.8049368Z with: 2025-09-07T09:54:27.8049557Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:54:27.8049796Z s3-bucket: gha-artifacts 2025-09-07T09:54:27.8049983Z env: 2025-09-07T09:54:27.8050135Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:27.8050577Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:27.8050899Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:27.8051187Z ##[endgroup] 2025-09-07T09:54:27.8075141Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T09:54:27.8075413Z with: 2025-09-07T09:54:27.8075594Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:54:27.8075833Z s3-bucket: gha-artifacts 2025-09-07T09:54:27.8076031Z region: us-east-1 2025-09-07T09:54:27.8076239Z env: 2025-09-07T09:54:27.8076393Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:27.8076630Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:27.8077255Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:27.8077541Z ##[endgroup] 2025-09-07T09:54:28.2243900Z (node:7862) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T09:54:28.2244374Z 2025-09-07T09:54:28.2244569Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T09:54:28.2245089Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T09:54:28.2245636Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T09:54:28.3449495Z Found 1 objects with prefix pytorch/pytorch/17525296438/linux-jammy-cuda12.8-py3.10-gcc9-sm90/ 2025-09-07T09:54:28.3451016Z Starting download (1/1): /home/david/_work/pytorch/pytorch/artifacts.zip 2025-09-07T09:54:37.2422348Z Finished download (1/1): /home/david/_work/pytorch/pytorch/artifacts.zip 2025-09-07T09:54:37.2431055Z Artifact download has finished successfully 2025-09-07T09:54:37.2794377Z ##[group]Run unzip -o artifacts.zip 2025-09-07T09:54:37.2794663Z unzip -o artifacts.zip 2025-09-07T09:54:37.2808877Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:37.2809181Z env: 2025-09-07T09:54:37.2809349Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:37.2809599Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:37.2809928Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:37.2810367Z ##[endgroup] 2025-09-07T09:54:37.2878714Z Archive: artifacts.zip 2025-09-07T09:54:37.2879999Z creating: dist/ 2025-09-07T09:54:39.0886647Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:54:39.0887124Z creating: dist/vision/ 2025-09-07T09:54:39.0993852Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:54:39.0994308Z creating: dist/audio/ 2025-09-07T09:54:39.1049127Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:54:39.1049589Z creating: dist/torchrec/ 2025-09-07T09:54:39.1073154Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:54:39.1073519Z creating: dist/fbgemm_gpu/ 2025-09-07T09:54:39.9351219Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:54:39.9351680Z creating: dist/ao/ 2025-09-07T09:54:39.9388995Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T09:54:39.9507804Z inflating: dist/.ninja_log 2025-09-07T09:54:39.9508419Z creating: build/custom_test_artifacts/ 2025-09-07T09:54:39.9509877Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T09:54:39.9510524Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T09:54:39.9510974Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T09:54:39.9516682Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T09:54:39.9517177Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T09:54:39.9517648Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-09-07T09:54:39.9518147Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-09-07T09:54:39.9518666Z creating: 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build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks 2025-09-07T09:54:47.3997239Z inflating: build/bin/BackoffTest 2025-09-07T09:54:47.4067439Z inflating: build/bin/TCPStoreTest 2025-09-07T09:54:47.4123177Z inflating: build/bin/HashStoreTest 2025-09-07T09:54:47.4176802Z inflating: build/bin/FileStoreTest 2025-09-07T09:54:47.4189844Z inflating: build/bin/ProcessGroupMPITest 2025-09-07T09:54:47.4192545Z inflating: build/bin/example_allreduce 2025-09-07T09:54:47.4265570Z inflating: build/bin/Dict_test 2025-09-07T09:54:47.4321281Z inflating: build/bin/Dimname_test 2025-09-07T09:54:47.4380457Z inflating: build/bin/NamedTensor_test 2025-09-07T09:54:47.4456179Z inflating: build/bin/MaybeOwned_test 2025-09-07T09:54:47.4524359Z inflating: build/bin/atest 2025-09-07T09:54:47.4599486Z inflating: build/bin/basic 2025-09-07T09:54:47.4664928Z inflating: build/bin/apply_utils_test 2025-09-07T09:54:47.4719562Z inflating: build/bin/broadcast_test 2025-09-07T09:54:47.4768818Z inflating: build/bin/cpu_allocator_test 2025-09-07T09:54:47.4825101Z inflating: build/bin/cpu_generator_test 2025-09-07T09:54:47.4879005Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T09:54:47.4976870Z inflating: build/bin/cpu_rng_test 2025-09-07T09:54:47.5026206Z inflating: build/bin/dlconvertor_test 2025-09-07T09:54:47.5081764Z inflating: build/bin/extension_backend_test 2025-09-07T09:54:47.5134955Z inflating: build/bin/half_test 2025-09-07T09:54:47.5187809Z inflating: build/bin/lazy_tensor_test 2025-09-07T09:54:47.5244533Z inflating: build/bin/memory_format_test 2025-09-07T09:54:47.5296577Z inflating: build/bin/math_kernel_test 2025-09-07T09:54:47.5407792Z inflating: build/bin/ivalue_test 2025-09-07T09:54:47.5472314Z inflating: build/bin/memory_overlapping_test 2025-09-07T09:54:47.5535831Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T09:54:47.5598201Z inflating: build/bin/native_test 2025-09-07T09:54:47.5661262Z inflating: build/bin/operator_name_test 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build/bin/type_test 2025-09-07T09:54:47.6758450Z inflating: build/bin/undefined_tensor_test 2025-09-07T09:54:47.6815363Z inflating: build/bin/verify_api_visibility 2025-09-07T09:54:47.6897732Z inflating: build/bin/legacy_vmap_test 2025-09-07T09:54:47.6960930Z inflating: build/bin/weakref_test 2025-09-07T09:54:47.7024477Z inflating: build/bin/xla_tensor_test 2025-09-07T09:54:47.7087593Z inflating: build/bin/wrapdim_test 2025-09-07T09:54:47.7163385Z inflating: build/bin/IListRef_test 2025-09-07T09:54:47.7305182Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T09:54:47.7425948Z inflating: build/bin/List_test 2025-09-07T09:54:47.7505486Z inflating: build/bin/KernelFunction_test 2025-09-07T09:54:47.7617276Z inflating: build/bin/kernel_function_test 2025-09-07T09:54:47.7775574Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T09:54:47.7878795Z inflating: build/bin/kernel_lambda_test 2025-09-07T09:54:47.7942095Z inflating: build/bin/kernel_stackbased_test 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2025-09-07T09:54:47.9188818Z inflating: build/bin/cuda_distributions_test 2025-09-07T09:54:47.9251938Z inflating: build/bin/cuda_dlconvertor_test 2025-09-07T09:54:47.9313114Z inflating: build/bin/cuda_exchange_device_test 2025-09-07T09:54:47.9373508Z inflating: build/bin/cuda_half_test 2025-09-07T09:54:47.9440948Z inflating: build/bin/cuda_generator_test 2025-09-07T09:54:47.9502460Z inflating: build/bin/cuda_integer_divider_test 2025-09-07T09:54:47.9562028Z inflating: build/bin/cuda_optional_test 2025-09-07T09:54:47.9624476Z inflating: build/bin/cuda_packedtensoraccessor_test 2025-09-07T09:54:47.9689722Z inflating: build/bin/cuda_reportMemoryUsage_test 2025-09-07T09:54:47.9750632Z inflating: build/bin/cuda_allocatorTraceTracker_test 2025-09-07T09:54:47.9823270Z inflating: build/bin/cuda_stream_test 2025-09-07T09:54:47.9883366Z inflating: build/bin/cuda_cudnn_test 2025-09-07T09:54:47.9945503Z inflating: build/bin/cuda_vectorized_test 2025-09-07T09:54:48.0355950Z inflating: build/bin/test_nativert 2025-09-07T09:54:48.0411625Z inflating: build/bin/test_dist_autograd 2025-09-07T09:54:48.0487902Z inflating: build/bin/test_cpp_rpc 2025-09-07T09:54:48.1812746Z inflating: build/bin/test_api 2025-09-07T09:54:48.1814909Z inflating: build/bin/parallel_benchmark 2025-09-07T09:54:48.1893556Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T09:54:48.1969427Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T09:54:48.2039632Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T09:54:48.2113273Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T09:54:48.3366914Z inflating: build/bin/test_jit 2025-09-07T09:54:48.3738227Z inflating: build/bin/test_lazy 2025-09-07T09:54:48.3742601Z inflating: build/bin/torch_shm_manager 2025-09-07T09:54:48.3743210Z creating: .additional_ci_files/ 2025-09-07T09:54:48.3848958Z inflating: .additional_ci_files/test-times.json 2025-09-07T09:54:48.4221475Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T09:54:48.4566238Z ##[group]Run rm artifacts.zip 2025-09-07T09:54:48.4566654Z rm artifacts.zip 2025-09-07T09:54:48.4588300Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:48.4588797Z env: 2025-09-07T09:54:48.4589074Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:48.4589510Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:48.4590129Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:48.4590909Z ##[endgroup] 2025-09-07T09:54:48.8286014Z ##[group]Run df -H 2025-09-07T09:54:48.8286248Z df -H 2025-09-07T09:54:48.8300904Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:48.8301188Z env: 2025-09-07T09:54:48.8301348Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:48.8301842Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:48.8302179Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:48.8302461Z ##[endgroup] 2025-09-07T09:54:49.0035255Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T09:54:49.0035610Z overlay 7.3T 702G 6.6T 10% / 2025-09-07T09:54:49.0035912Z tmpfs 68M 0 68M 0% /dev 2025-09-07T09:54:49.0036209Z shm 68M 0 68M 0% /dev/shm 2025-09-07T09:54:49.0036536Z /dev/root 7.3T 702G 6.6T 10% /home/david/_work 2025-09-07T09:54:49.0036923Z tmpfs 215G 111k 215G 1% /run/docker.sock 2025-09-07T09:54:49.0037480Z tmpfs 1.1T 13k 1.1T 1% /proc/driver/nvidia 2025-09-07T09:54:49.0037975Z tmpfs 430G 2.9M 430G 1% /run/.ro2621323398/nvidia-persistenced/socket 2025-09-07T09:54:49.0038392Z tmpfs 1.1T 0 1.1T 0% /proc/acpi 2025-09-07T09:54:49.0038706Z tmpfs 1.1T 0 1.1T 0% /proc/scsi 2025-09-07T09:54:49.0039028Z tmpfs 1.1T 0 1.1T 0% /sys/firmware 2025-09-07T09:54:49.0068332Z Prepare all required actions 2025-09-07T09:54:49.0069219Z Getting action download info 2025-09-07T09:54:49.2343270Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T09:54:49.2343608Z with: 2025-09-07T09:54:49.2343791Z env: 2025-09-07T09:54:49.2343982Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:49.2344287Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:49.2344710Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:49.2345068Z ##[endgroup] 2025-09-07T09:54:49.4777214Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T09:54:49.4777634Z with: 2025-09-07T09:54:49.4777885Z name: td_results 2025-09-07T09:54:49.4778185Z s3-bucket: gha-artifacts 2025-09-07T09:54:49.4778513Z region: us-east-1 2025-09-07T09:54:49.4778772Z env: 2025-09-07T09:54:49.4779027Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:49.4779445Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:49.4780501Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:49.4780990Z ##[endgroup] 2025-09-07T09:54:50.1065292Z (node:7882) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T09:54:50.1065959Z 2025-09-07T09:54:50.1066210Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T09:54:50.1066913Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T09:54:50.1067624Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T09:54:50.2485400Z Found 0 objects with prefix pytorch/pytorch/17525296438/td_results/ 2025-09-07T09:54:50.2494088Z Artifact download has finished successfully 2025-09-07T09:54:50.3341177Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T09:54:50.3341644Z mkdir -p .additional_ci_files 2025-09-07T09:54:50.3342182Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T09:54:50.3362588Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:50.3363073Z env: 2025-09-07T09:54:50.3363334Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:50.3363739Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:50.3364302Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:50.3364772Z ##[endgroup] 2025-09-07T09:54:50.4021773Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T09:54:50.4509559Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T09:54:50.4510051Z .github/scripts/parse_ref.py 2025-09-07T09:54:50.4530618Z shell: /usr/bin/bash -e {0} 2025-09-07T09:54:50.4530969Z env: 2025-09-07T09:54:50.4531228Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:50.4531629Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:50.4532199Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:50.4532669Z ##[endgroup] 2025-09-07T09:54:50.5181674Z Setting output branch=main 2025-09-07T09:54:50.5347953Z Prepare all required actions 2025-09-07T09:54:50.5348511Z Getting action download info 2025-09-07T09:54:50.6988542Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T09:54:50.6988982Z with: 2025-09-07T09:54:50.6989652Z github-token: *** 2025-09-07T09:54:50.6998473Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T09:54:50.7007654Z job-name: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T09:54:50.7008208Z env: 2025-09-07T09:54:50.7008469Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:50.7008870Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:50.7009432Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:50.7009904Z ##[endgroup] 2025-09-07T09:54:50.8232006Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:54:50.8232335Z with: 2025-09-07T09:54:50.8232517Z shell: bash 2025-09-07T09:54:50.8232706Z timeout_minutes: 10 2025-09-07T09:54:50.8232919Z max_attempts: 5 2025-09-07T09:54:50.8233130Z retry_wait_seconds: 30 2025-09-07T09:54:50.8233825Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T09:54:50.8234542Z polling_interval_seconds: 1 2025-09-07T09:54:50.8234789Z warning_on_retry: true 2025-09-07T09:54:50.8235015Z continue_on_error: false 2025-09-07T09:54:50.8235242Z env: 2025-09-07T09:54:50.8235419Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:50.8235697Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:50.8236084Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:50.8236658Z GITHUB_TOKEN: *** 2025-09-07T09:54:50.8236868Z ##[endgroup] 2025-09-07T09:54:50.9193976Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T09:54:51.2522266Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:54:51.9004857Z Collecting requests==2.27.1 2025-09-07T09:54:51.9599635Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T09:54:52.4416400Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 110.5 kB/s eta 0:00:00 2025-09-07T09:54:52.8800023Z Collecting pyyaml==6.0.2 2025-09-07T09:54:52.8905001Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T09:54:53.3304370Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 1.7 MB/s eta 0:00:00 2025-09-07T09:54:53.3415495Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T09:54:53.8830629Z Collecting charset-normalizer~=2.0.0 2025-09-07T09:54:53.8934005Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T09:54:54.2936561Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T09:54:54.2946605Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T09:54:54.3633411Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T09:54:55.1592612Z WARNING: The script normalizer is installed in '/home/david/.local/bin' which is not on PATH. 2025-09-07T09:54:55.1593626Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:54:56.9636997Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T09:54:57.9226268Z Command completed after 1 attempt(s). 2025-09-07T09:54:57.9495561Z ##[group]Run set -x 2025-09-07T09:54:57.9495798Z set -x 2025-09-07T09:54:57.9495986Z  2025-09-07T09:54:57.9496313Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T09:54:57.9496716Z # in runner workspace 2025-09-07T09:54:57.9497026Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T09:54:57.9511606Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:57.9511897Z env: 2025-09-07T09:54:57.9512051Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:57.9512302Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:57.9512624Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:57.9512892Z ##[endgroup] 2025-09-07T09:54:58.0023505Z + python3 /home/david/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T09:54:58.0165636Z Setting output branch=main 2025-09-07T09:54:58.0800952Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T09:54:58.0801341Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T09:54:58.0801625Z echo "Job name: ${JOB_NAME}" 2025-09-07T09:54:58.0801904Z  2025-09-07T09:54:58.0802253Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T09:54:58.0802670Z # in runner workspace 2025-09-07T09:54:58.0803055Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T09:54:58.0803474Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T09:54:58.0803765Z  --job-name "${JOB_NAME}" \ 2025-09-07T09:54:58.0809402Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]}" \ 2025-09-07T09:54:58.0814666Z  --selected-test-configs "" \ 2025-09-07T09:54:58.0814904Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T09:54:58.0815127Z  --tag "${TAG}" \ 2025-09-07T09:54:58.0815335Z  --event-name "${EVENT_NAME}" \ 2025-09-07T09:54:58.0815573Z  --schedule "${SCHEDULE}" \ 2025-09-07T09:54:58.0815787Z  --branch "${HEAD_BRANCH}" 2025-09-07T09:54:58.0830522Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:58.0830810Z env: 2025-09-07T09:54:58.0830973Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:58.0831228Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:58.0831555Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:58.0832012Z GITHUB_TOKEN: *** 2025-09-07T09:54:58.0832304Z JOB_NAME: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T09:54:58.0832626Z PR_NUMBER: 2025-09-07T09:54:58.0832782Z TAG: 2025-09-07T09:54:58.0832925Z EVENT_NAME: schedule 2025-09-07T09:54:58.0833102Z SCHEDULE: 0 7 * * 0 2025-09-07T09:54:58.0833277Z HEAD_BRANCH: main 2025-09-07T09:54:58.0833442Z ##[endgroup] 2025-09-07T09:54:58.1548306Z Workflow: inductor-perf-nightly-h100 2025-09-07T09:54:58.1548796Z Job name: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T09:54:58.3634774Z Setting output keep-going=True 2025-09-07T09:54:58.3635192Z Setting output ci-verbose-test-logs=False 2025-09-07T09:54:58.3635582Z Setting output ci-test-showlocals=False 2025-09-07T09:54:58.3635872Z Setting output ci-no-test-timeout=False 2025-09-07T09:54:58.3636154Z Setting output ci-no-td=False 2025-09-07T09:54:58.3636417Z Setting output ci-td-distributed=False 2025-09-07T09:54:58.3636692Z Setting output is-unstable=False 2025-09-07T09:54:58.3636956Z Setting output reenabled-issues= 2025-09-07T09:54:58.3643684Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T09:54:58.3649271Z Setting output is-test-matrix-empty=False 2025-09-07T09:54:58.4152990Z ##[group]Run echo "Filtered matrix:" 2025-09-07T09:54:58.4153319Z echo "Filtered matrix:" 2025-09-07T09:54:58.4159636Z echo "{"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]}" 2025-09-07T09:54:58.4166113Z  2025-09-07T09:54:58.4166290Z echo 2025-09-07T09:54:58.4166490Z echo "Is the current job unstable? False" 2025-09-07T09:54:58.4166717Z  2025-09-07T09:54:58.4166857Z echo 2025-09-07T09:54:58.4167045Z echo "Is keep-going label set? True" 2025-09-07T09:54:58.4167272Z  2025-09-07T09:54:58.4167407Z echo 2025-09-07T09:54:58.4167573Z echo "Reenabled issues? " 2025-09-07T09:54:58.4182046Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:58.4182334Z env: 2025-09-07T09:54:58.4182490Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:58.4182732Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:58.4183151Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:58.4183437Z ##[endgroup] 2025-09-07T09:54:58.4677555Z Filtered matrix: 2025-09-07T09:54:58.4687139Z {include: [{config: inductor_huggingface_perf_cuda_h100, shard: 1, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 2, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 3, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 4, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 5, num_shards: 5, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 1, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 2, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 3, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 4, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 5, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 6, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 7, num_shards: 7, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 1, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 2, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 3, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 4, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 5, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 6, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 7, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 8, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 9, num_shards: 9, runner: linux.aws.h100}]} 2025-09-07T09:54:58.4695937Z 2025-09-07T09:54:58.4696083Z Is the current job unstable? False 2025-09-07T09:54:58.4696356Z 2025-09-07T09:54:58.4696493Z Is keep-going label set? True 2025-09-07T09:54:58.4696735Z 2025-09-07T09:54:58.4696858Z Reenabled issues? 2025-09-07T09:54:58.5281384Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T09:54:58.5281874Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T09:54:58.5296120Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:58.5296405Z env: 2025-09-07T09:54:58.5296585Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:58.5296831Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:58.5297152Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:58.5297421Z JOB_TIMEOUT: 1440 2025-09-07T09:54:58.5297587Z ##[endgroup] 2025-09-07T09:54:58.6854296Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:54:58.6855075Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:54:58.6855508Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:54:58.6869069Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:54:58.6869347Z env: 2025-09-07T09:54:58.6869505Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:58.6869744Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:58.6870063Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:58.6870492Z ##[endgroup] 2025-09-07T09:54:58.7813405Z ##[group]Run set -x 2025-09-07T09:54:58.7813716Z set -x 2025-09-07T09:54:58.7813897Z  2025-09-07T09:54:58.7814098Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T09:54:58.7814420Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T09:54:58.7814742Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T09:54:58.7815060Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T09:54:58.7815297Z else 2025-09-07T09:54:58.7815496Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T09:54:58.7815750Z fi 2025-09-07T09:54:58.7815909Z  2025-09-07T09:54:58.7816109Z # Leaving 1GB for the runner and other things 2025-09-07T09:54:58.7816541Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T09:54:58.7817159Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T09:54:58.7817653Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T09:54:58.7818030Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T09:54:58.7818320Z  2025-09-07T09:54:58.7818505Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T09:54:58.7828944Z  SHM_OPTS= 2025-09-07T09:54:58.7829160Z  JENKINS_USER= 2025-09-07T09:54:58.7829419Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T09:54:58.7829775Z  # if for some reason cleanup action doesn't stop container 2025-09-07T09:54:58.7830057Z  # when job is cancelled 2025-09-07T09:54:58.7830426Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T09:54:58.7830634Z else 2025-09-07T09:54:58.7830818Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T09:54:58.7831056Z  JENKINS_USER="--user jenkins" 2025-09-07T09:54:58.7831285Z  DOCKER_SHELL_CMD= 2025-09-07T09:54:58.7831478Z fi 2025-09-07T09:54:58.7831627Z  2025-09-07T09:54:58.7831861Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T09:54:58.7832237Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T09:54:58.7832669Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T09:54:58.7833041Z # shellcheck disable=SC2086,SC2090 2025-09-07T09:54:58.7833279Z container_name=$(docker run \ 2025-09-07T09:54:58.7833499Z  ${GPU_FLAG:-} \ 2025-09-07T09:54:58.7833714Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T09:54:58.7833956Z  -e BUILD_ENVIRONMENT \ 2025-09-07T09:54:58.7834170Z  -e PR_NUMBER \ 2025-09-07T09:54:58.7834365Z  -e GITHUB_ACTIONS \ 2025-09-07T09:54:58.7834570Z  -e GITHUB_REPOSITORY \ 2025-09-07T09:54:58.7834774Z  -e GITHUB_WORKFLOW \ 2025-09-07T09:54:58.7834979Z  -e GITHUB_JOB \ 2025-09-07T09:54:58.7835166Z  -e GITHUB_RUN_ID \ 2025-09-07T09:54:58.7835360Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T09:54:58.7835589Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T09:54:58.7835802Z  -e JOB_ID \ 2025-09-07T09:54:58.7835985Z  -e JOB_NAME \ 2025-09-07T09:54:58.7836431Z  -e BASE_SHA \ 2025-09-07T09:54:58.7836610Z  -e BRANCH \ 2025-09-07T09:54:58.7836776Z  -e SHA1 \ 2025-09-07T09:54:58.7836969Z  -e AWS_DEFAULT_REGION \ 2025-09-07T09:54:58.7837178Z  -e IN_WHEEL_TEST \ 2025-09-07T09:54:58.7837372Z  -e SHARD_NUMBER \ 2025-09-07T09:54:58.7837559Z  -e TEST_CONFIG \ 2025-09-07T09:54:58.7837754Z  -e NUM_TEST_SHARDS \ 2025-09-07T09:54:58.7837955Z  -e REENABLED_ISSUES \ 2025-09-07T09:54:58.7838170Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T09:54:58.7838578Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T09:54:58.7838818Z  -e TEST_SHOWLOCALS \ 2025-09-07T09:54:58.7839021Z  -e NO_TEST_TIMEOUT \ 2025-09-07T09:54:58.7839212Z  -e NO_TD \ 2025-09-07T09:54:58.7839389Z  -e TD_DISTRIBUTED \ 2025-09-07T09:54:58.7839588Z  -e PR_LABELS \ 2025-09-07T09:54:58.7839804Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T09:54:58.7840050Z  -e SCCACHE_BUCKET \ 2025-09-07T09:54:58.7840370Z  -e SCCACHE_REGION \ 2025-09-07T09:54:58.7840566Z  -e XLA_CUDA \ 2025-09-07T09:54:58.7840771Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T09:54:58.7841024Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T09:54:58.7841277Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T09:54:58.7841536Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T09:54:58.7841783Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T09:54:58.7842021Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T09:54:58.7842274Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T09:54:58.7842545Z  -e DASHBOARD_TAG \ 2025-09-07T09:54:58.7842765Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T09:54:58.7843052Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T09:54:58.7843390Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T09:54:58.7843688Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T09:54:58.7843975Z  --security-opt seccomp=unconfined \ 2025-09-07T09:54:58.7844220Z  --cap-add=SYS_PTRACE \ 2025-09-07T09:54:58.7844421Z  --ipc=host \ 2025-09-07T09:54:58.7844603Z  ${SHM_OPTS} \ 2025-09-07T09:54:58.7844787Z  --tty \ 2025-09-07T09:54:58.7844954Z  --detach \ 2025-09-07T09:54:58.7845136Z  --name="${container_name}" \ 2025-09-07T09:54:58.7845364Z  ${JENKINS_USER} \ 2025-09-07T09:54:58.7845614Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T09:54:58.7845897Z  -w /var/lib/jenkins/workspace \ 2025-09-07T09:54:58.7846118Z  "${DOCKER_IMAGE}" \ 2025-09-07T09:54:58.7846311Z  ${DOCKER_SHELL_CMD} 2025-09-07T09:54:58.7846504Z ) 2025-09-07T09:54:58.7846720Z # Propagate download.pytorch.org IP to container 2025-09-07T09:54:58.7847200Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T09:54:58.7847693Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T09:54:58.7847979Z  2025-09-07T09:54:58.7848167Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T09:54:58.7848572Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T09:54:58.7848933Z fi 2025-09-07T09:54:58.7849074Z  2025-09-07T09:54:58.7849418Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T09:54:58.7863773Z shell: /usr/bin/bash -e {0} 2025-09-07T09:54:58.7863983Z env: 2025-09-07T09:54:58.7864138Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:54:58.7864385Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:54:58.7864884Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T09:54:58.7865229Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:54:58.7865504Z PR_NUMBER: 2025-09-07T09:54:58.7865674Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T09:54:58.7865931Z GITHUB_WORKFLOW: inductor-perf-nightly-h100 2025-09-07T09:54:58.7866182Z GITHUB_JOB: test 2025-09-07T09:54:58.7866355Z GITHUB_RUN_ID: 17525296438 2025-09-07T09:54:58.7866540Z GITHUB_RUN_NUMBER: 662 2025-09-07T09:54:58.7866726Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T09:54:58.7866899Z JOB_ID: 49775781840 2025-09-07T09:54:58.7867320Z JOB_NAME: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T09:54:58.7867638Z BRANCH: main 2025-09-07T09:54:58.7867826Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:54:58.7868086Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:54:58.7868345Z TEST_CONFIG: inductor_timm_perf_cuda_h100 2025-09-07T09:54:58.7868560Z SHARD_NUMBER: 1 2025-09-07T09:54:58.7868722Z NUM_TEST_SHARDS: 7 2025-09-07T09:54:58.7868890Z REENABLED_ISSUES: 2025-09-07T09:54:58.7869061Z CONTINUE_THROUGH_ERROR: True 2025-09-07T09:54:58.7869254Z VERBOSE_TEST_LOGS: False 2025-09-07T09:54:58.7869439Z TEST_SHOWLOCALS: False 2025-09-07T09:54:58.7869618Z NO_TEST_TIMEOUT: False 2025-09-07T09:54:58.7869788Z NO_TD: False 2025-09-07T09:54:58.7869956Z TD_DISTRIBUTED: False 2025-09-07T09:54:58.7870176Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T09:54:58.7870563Z SCCACHE_REGION: us-east-1 2025-09-07T09:54:58.7870746Z SHM_SIZE: 2g 2025-09-07T09:54:58.7871378Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:54:58.7872039Z XLA_CUDA: 2025-09-07T09:54:58.7872290Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:54:58.7872611Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T09:54:58.7872851Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T09:54:58.7873737Z DASHBOARD_TAG: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T09:54:58.7874777Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T09:54:58.7875085Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T09:54:58.7875378Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T09:54:58.7875726Z ARTIFACTS_FILE_SUFFIX: test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840 2025-09-07T09:54:58.7876070Z ##[endgroup] 2025-09-07T09:54:58.8524921Z + [[ inductor_timm_perf_cuda_h100 == \m\u\l\t\i\g\p\u ]] 2025-09-07T09:54:58.8525312Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *onnx* ]] 2025-09-07T09:54:58.8525657Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T09:54:58.8528391Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T09:54:58.8539484Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1998.949 ' 2025-09-07T09:54:58.8539741Z + TOTAL_MEMORY_WITH_SWAP=2001 2025-09-07T09:54:58.8540029Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T09:54:58.8540438Z + SHM_OPTS=--shm-size=2g 2025-09-07T09:54:58.8540644Z + JENKINS_USER='--user jenkins' 2025-09-07T09:54:58.8540844Z + DOCKER_SHELL_CMD= 2025-09-07T09:54:58.8549258Z +++ nproc --ignore=2 2025-09-07T09:54:58.8563693Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5230 -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/david/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:58:19.4479167Z + container_name=42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T09:58:19.4482011Z + grep download.pytorch.org /etc/hosts 2025-09-07T09:58:19.4483637Z + docker exec -i 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T09:58:19.5072694Z + echo DOCKER_CONTAINER_ID=42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T09:58:19.5075488Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T09:58:19.5077097Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:58:19.5079666Z + docker exec -t 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T09:58:19.8980144Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T09:58:20.2126093Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T09:58:20.2129348Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T09:58:20.2133024Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T09:58:20.2136599Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T09:58:20.2139354Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T09:58:20.2143604Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T09:58:20.2155430Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T09:58:20.2475323Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T09:58:20.2492301Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T09:58:20.2523831Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T09:58:21.0380908Z Installing collected packages: torch 2025-09-07T09:58:31.5629343Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T09:58:31.5631339Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T09:58:31.5631825Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T09:58:31.5632345Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T09:58:31.5632978Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T09:58:31.5633757Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T09:58:31.5634532Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T09:58:31.5635331Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T09:58:31.6358107Z + export TERM=vt100 2025-09-07T09:58:31.6358379Z + TERM=vt100 2025-09-07T09:58:31.6362186Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:58:31.6370978Z + source .ci/pytorch/common.sh 2025-09-07T09:58:31.6375462Z +++ dirname .ci/pytorch/common.sh 2025-09-07T09:58:31.6386836Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T09:58:31.6387813Z +++ declare -f -t trap_add 2025-09-07T09:58:31.6392420Z ++ set -ex -o pipefail 2025-09-07T09:58:31.6392752Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:58:31.6393138Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T09:58:31.6396506Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:58:31.6404897Z + source .ci/pytorch/common-build.sh 2025-09-07T09:58:31.6406254Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *win-* ]] 2025-09-07T09:58:31.6413690Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T09:58:31.6422577Z +++ cd .ci/pytorch 2025-09-07T09:58:31.6423020Z +++ pwd -P 2025-09-07T09:58:31.6425964Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T09:58:31.6426441Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-pch* ]] 2025-09-07T09:58:31.6426810Z ++ which sccache 2025-09-07T09:58:31.6441196Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T09:58:31.6441545Z ++ sccache --stop-server 2025-09-07T09:58:31.6469282Z ++ true 2025-09-07T09:58:31.6469526Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T09:58:31.6481086Z ++ trap_add sccache_epilogue EXIT 2025-09-07T09:58:31.6481398Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T09:58:31.6481683Z ++ shift 2025-09-07T09:58:31.6481904Z ++ for trap_add_name in "$@" 2025-09-07T09:58:31.6489349Z ++++ trap -p EXIT 2025-09-07T09:58:31.6491384Z +++ eval 'extract_trap_cmd ' 2025-09-07T09:58:31.6491760Z ++++ extract_trap_cmd 2025-09-07T09:58:31.6492054Z ++++ printf '%s\n' '' 2025-09-07T09:58:31.6492359Z +++ printf '%s\n' sccache_epilogue 2025-09-07T09:58:31.6493637Z ++ trap -- ' 2025-09-07T09:58:31.6493912Z sccache_epilogue' EXIT 2025-09-07T09:58:31.6494251Z ++ [[ -n 1 ]] 2025-09-07T09:58:31.6494708Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T09:58:31.6495407Z Skipping sccache server initialization, setting environment variables 2025-09-07T09:58:31.6495926Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:58:31.6496262Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:58:31.6496631Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:58:31.6497056Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:58:31.6497448Z ++ export RUST_LOG=sccache::server=error 2025-09-07T09:58:31.6497757Z ++ RUST_LOG=sccache::server=error 2025-09-07T09:58:31.6498038Z ++ sccache --zero-stats 2025-09-07T09:58:31.7927114Z Statistics zeroed. 2025-09-07T09:58:31.7934377Z ++ which ccache 2025-09-07T09:58:31.7948529Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *rocm* ]] 2025-09-07T09:58:31.7948948Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *s390x* ]] 2025-09-07T09:58:31.7949342Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T09:58:31.7951678Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T09:58:31.7962675Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T09:58:31.7962967Z + trap_add cleanup_workspace EXIT 2025-09-07T09:58:31.7963256Z + trap_add_cmd=cleanup_workspace 2025-09-07T09:58:31.7963509Z + shift 2025-09-07T09:58:31.7963706Z + for trap_add_name in "$@" 2025-09-07T09:58:31.7971233Z +++ trap -p EXIT 2025-09-07T09:58:31.7974171Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T09:58:31.7974482Z sccache_epilogue'\'' EXIT' 2025-09-07T09:58:31.7974757Z +++ extract_trap_cmd trap -- ' 2025-09-07T09:58:31.7975023Z sccache_epilogue' EXIT 2025-09-07T09:58:31.7975249Z +++ printf '%s\n' ' 2025-09-07T09:58:31.7975465Z sccache_epilogue' 2025-09-07T09:58:31.7975696Z ++ printf '%s\n' cleanup_workspace 2025-09-07T09:58:31.7977701Z + trap -- ' 2025-09-07T09:58:31.7977896Z sccache_epilogue 2025-09-07T09:58:31.7978121Z cleanup_workspace' EXIT 2025-09-07T09:58:31.7978826Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T09:58:33.4796606Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T09:58:33.4819981Z + echo 'Environment variables:' 2025-09-07T09:58:33.4820675Z Environment variables: 2025-09-07T09:58:33.4821008Z + env 2025-09-07T09:58:33.4829917Z GITHUB_WORKSPACE=/home/david/_work/pytorch/pytorch 2025-09-07T09:58:33.4830409Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:58:33.4830739Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:58:33.4833900Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:58:33.4834184Z HOSTNAME=42ff2afac91f 2025-09-07T09:58:33.4834635Z GITHUB_PATH=/home/david/_work/_temp/_runner_file_commands/add_path_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.4835109Z GITHUB_ACTION=__run_2 2025-09-07T09:58:33.4835350Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:58:33.4835612Z GITHUB_RUN_NUMBER=662 2025-09-07T09:58:33.4835841Z TEST_CONFIG=inductor_timm_perf_cuda_h100 2025-09-07T09:58:33.4836144Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:58:33.4836438Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:58:33.4836713Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:58:33.4837059Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:58:33.4837337Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T09:58:33.4837610Z GITHUB_REF_TYPE=branch 2025-09-07T09:58:33.4837862Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:58:33.4838126Z XLA_CUDA= 2025-09-07T09:58:33.4838316Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:58:33.4838645Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:58:33.4838989Z *** 2025-09-07T09:58:33.4839156Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:58:33.4839425Z GITHUB_ACTIONS=true 2025-09-07T09:58:33.4839620Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:58:33.4839899Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:58:33.4840368Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:58:33.4840668Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:58:33.4841190Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T09:58:33.4841678Z UCC_HOME=/usr 2025-09-07T09:58:33.4841856Z VERBOSE_TEST_LOGS=False 2025-09-07T09:58:33.4842059Z GITHUB_REF=refs/heads/main 2025-09-07T09:58:33.4842258Z SHARD_NUMBER=1 2025-09-07T09:58:33.4842440Z GITHUB_REF_PROTECTED=true 2025-09-07T09:58:33.4842651Z HOME=/var/lib/jenkins 2025-09-07T09:58:33.4842846Z SCCACHE_SERVER_PORT=5230 2025-09-07T09:58:33.4843072Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:58:33.4843353Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:58:33.4843632Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:58:33.4843903Z USE_SYSTEM_NCCL=1 2025-09-07T09:58:33.4844077Z NUM_TEST_SHARDS=7 2025-09-07T09:58:33.4844251Z UCX_HOME=/usr 2025-09-07T09:58:33.4844645Z GITHUB_STATE=/home/david/_work/_temp/_runner_file_commands/save_state_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.4845219Z JOB_NAME=test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T09:58:33.4845760Z GITHUB_ENV=/home/david/_work/_temp/_runner_file_commands/set_env_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.4846271Z GITHUB_EVENT_PATH=/home/david/_work/_temp/_github_workflow/event.json 2025-09-07T09:58:33.4846610Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:58:33.4847568Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T09:58:33.4848918Z GITHUB_RUN_ID=17525296438 2025-09-07T09:58:33.4849098Z INSTALLED_OPENBLAS= 2025-09-07T09:58:33.4849475Z GITHUB_STEP_SUMMARY=/home/david/_work/_temp/_runner_file_commands/step_summary_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.4849895Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T09:58:33.4850087Z PR_NUMBER= 2025-09-07T09:58:33.4850363Z DESIRED_CUDA=12.8.1 2025-09-07T09:58:33.4850540Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:58:33.4850946Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:58:33.4851193Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:58:33.4851430Z TERM=vt100 2025-09-07T09:58:33.4851581Z INSTALLED_VISION=yes 2025-09-07T09:58:33.4851748Z BRANCH=main 2025-09-07T09:58:33.4851906Z SCCACHE_REGION=us-east-1 2025-09-07T09:58:33.4852096Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:58:33.4852302Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:58:33.4852621Z GITHUB_ACTION_PATH=/home/david/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:58:33.4852971Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:58:33.4853217Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:58:33.4853454Z REENABLED_ISSUES= 2025-09-07T09:58:33.4853608Z DOCS= 2025-09-07T09:58:33.4853742Z SHLVL=1 2025-09-07T09:58:33.4853873Z MAX_JOBS=22 2025-09-07T09:58:33.4854023Z GITHUB_ACTOR_ID=97764156 2025-09-07T09:58:33.4854264Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:58:33.4854531Z GITHUB_REF_NAME=main 2025-09-07T09:58:33.4854786Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:58:33.4855075Z GITHUB_JOB=test 2025-09-07T09:58:33.4855232Z NO_TEST_TIMEOUT=False 2025-09-07T09:58:33.4855400Z TD_DISTRIBUTED=False 2025-09-07T09:58:33.4855577Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:58:33.4855791Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:58:33.4855988Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:58:33.4856170Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:58:33.4856713Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:58:33.4857266Z GITHUB_BASE_REF= 2025-09-07T09:58:33.4857424Z INSTALLED_ACL= 2025-09-07T09:58:33.4857713Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840 2025-09-07T09:58:33.4858036Z CI=true 2025-09-07T09:58:33.4858193Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:58:33.4858427Z RUST_LOG=sccache::server=error 2025-09-07T09:58:33.4858618Z JOB_ID=49775781840 2025-09-07T09:58:33.4858771Z GITHUB_HEAD_REF= 2025-09-07T09:58:33.4858931Z GITHUB_ACTION_REF= 2025-09-07T09:58:33.4859133Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:58:33.4859374Z TEST_SHOWLOCALS=False 2025-09-07T09:58:33.4859587Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T09:58:33.4859827Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:58:33.4860197Z GITHUB_OUTPUT=/home/david/_work/_temp/_runner_file_commands/set_output_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.4860741Z NO_TD=False 2025-09-07T09:58:33.4860897Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:58:33.4861111Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:58:33.4861323Z _=/usr/bin/env 2025-09-07T09:58:33.4861549Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T09:58:33.5110930Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T09:58:33.5111478Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T09:58:33.5112014Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T09:58:33.5112526Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T09:58:33.5112907Z + BUILD_DIR=build 2025-09-07T09:58:33.5113113Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T09:58:33.5113544Z + BUILD_BIN_DIR=build/bin 2025-09-07T09:58:33.5113770Z + SHARD_NUMBER=1 2025-09-07T09:58:33.5113958Z + NUM_TEST_SHARDS=7 2025-09-07T09:58:33.5114167Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:58:33.5114443Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:58:33.5114675Z + export VALGRIND=ON 2025-09-07T09:58:33.5114876Z + VALGRIND=ON 2025-09-07T09:58:33.5115137Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *clang9* ]] 2025-09-07T09:58:33.5115502Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T09:58:33.5115799Z + detect_cuda_arch 2025-09-07T09:58:33.5116162Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:58:33.5116463Z + command -v nvidia-smi 2025-09-07T09:58:33.5116673Z /usr/bin/nvidia-smi 2025-09-07T09:58:33.5122177Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T09:58:33.5123499Z ++ tail -n 1 2025-09-07T09:58:33.5331891Z + TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T09:58:33.5332331Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T09:58:33.5332835Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *s390x* ]] 2025-09-07T09:58:33.5333308Z + [[ 0 == \1 ]] 2025-09-07T09:58:33.5333594Z + [[ True == \1 ]] 2025-09-07T09:58:33.5333992Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *bazel* ]] 2025-09-07T09:58:33.5337442Z ++ realpath build/custom_test_artifacts 2025-09-07T09:58:33.5348922Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T09:58:33.5349583Z + [[ -n '' ]] 2025-09-07T09:58:33.5349884Z + echo 'Environment variables' 2025-09-07T09:58:33.5350423Z Environment variables 2025-09-07T09:58:33.5350737Z + env 2025-09-07T09:58:33.5358332Z GITHUB_WORKSPACE=/home/david/_work/pytorch/pytorch 2025-09-07T09:58:33.5358864Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:58:33.5359329Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:58:33.5360128Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:58:33.5360710Z HOSTNAME=42ff2afac91f 2025-09-07T09:58:33.5361342Z GITHUB_PATH=/home/david/_work/_temp/_runner_file_commands/add_path_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.5362060Z GITHUB_ACTION=__run_2 2025-09-07T09:58:33.5362415Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:58:33.5362800Z GITHUB_RUN_NUMBER=662 2025-09-07T09:58:33.5363155Z TEST_CONFIG=inductor_timm_perf_cuda_h100 2025-09-07T09:58:33.5363567Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:58:33.5363984Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:58:33.5364385Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:58:33.5364948Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:58:33.5365350Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T09:58:33.5365775Z GITHUB_REF_TYPE=branch 2025-09-07T09:58:33.5366103Z TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T09:58:33.5366490Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:58:33.5366918Z XLA_CUDA= 2025-09-07T09:58:33.5367199Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:58:33.5367742Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:58:33.5368289Z *** 2025-09-07T09:58:33.5368584Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:58:33.5368946Z GITHUB_ACTIONS=true 2025-09-07T09:58:33.5369260Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:58:33.5369698Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:58:33.5370407Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:58:33.5370903Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:58:33.5371736Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T09:58:33.5372516Z UCC_HOME=/usr 2025-09-07T09:58:33.5372822Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:58:33.5373195Z VERBOSE_TEST_LOGS=False 2025-09-07T09:58:33.5373520Z GITHUB_REF=refs/heads/main 2025-09-07T09:58:33.5373854Z SHARD_NUMBER=1 2025-09-07T09:58:33.5374151Z GITHUB_REF_PROTECTED=true 2025-09-07T09:58:33.5374488Z HOME=/var/lib/jenkins 2025-09-07T09:58:33.5374800Z SCCACHE_SERVER_PORT=5230 2025-09-07T09:58:33.5375189Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:58:33.5376210Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:58:33.5376663Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:58:33.5377102Z USE_SYSTEM_NCCL=1 2025-09-07T09:58:33.5377392Z NUM_TEST_SHARDS=7 2025-09-07T09:58:33.5377676Z UCX_HOME=/usr 2025-09-07T09:58:33.5378304Z GITHUB_STATE=/home/david/_work/_temp/_runner_file_commands/save_state_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.5379201Z JOB_NAME=test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T09:58:33.5380594Z GITHUB_ENV=/home/david/_work/_temp/_runner_file_commands/set_env_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.5381476Z GITHUB_EVENT_PATH=/home/david/_work/_temp/_github_workflow/event.json 2025-09-07T09:58:33.5382035Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:58:33.5383738Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T09:58:33.5385445Z GITHUB_RUN_ID=17525296438 2025-09-07T09:58:33.5385799Z INSTALLED_OPENBLAS= 2025-09-07T09:58:33.5386488Z GITHUB_STEP_SUMMARY=/home/david/_work/_temp/_runner_file_commands/step_summary_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.5387289Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T09:58:33.5387633Z PR_NUMBER= 2025-09-07T09:58:33.5387906Z DESIRED_CUDA=12.8.1 2025-09-07T09:58:33.5388210Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:58:33.5388513Z VALGRIND=ON 2025-09-07T09:58:33.5388806Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:58:33.5389257Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:58:33.5389715Z TERM=vt100 2025-09-07T09:58:33.5389986Z INSTALLED_VISION=yes 2025-09-07T09:58:33.5390492Z BRANCH=main 2025-09-07T09:58:33.5390781Z SCCACHE_REGION=us-east-1 2025-09-07T09:58:33.5391165Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:58:33.5391537Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:58:33.5392105Z GITHUB_ACTION_PATH=/home/david/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:58:33.5392773Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:58:33.5393247Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:58:33.5393700Z REENABLED_ISSUES= 2025-09-07T09:58:33.5393975Z DOCS= 2025-09-07T09:58:33.5394224Z SHLVL=1 2025-09-07T09:58:33.5394478Z MAX_JOBS=22 2025-09-07T09:58:33.5394759Z GITHUB_ACTOR_ID=97764156 2025-09-07T09:58:33.5395196Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:58:33.5395688Z GITHUB_REF_NAME=main 2025-09-07T09:58:33.5396174Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:58:33.5396734Z GITHUB_JOB=test 2025-09-07T09:58:33.5397019Z NO_TEST_TIMEOUT=False 2025-09-07T09:58:33.5397337Z TD_DISTRIBUTED=False 2025-09-07T09:58:33.5397677Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:58:33.5398072Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:58:33.5398410Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:58:33.5398746Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:58:33.5399744Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:58:33.5400983Z GITHUB_BASE_REF= 2025-09-07T09:58:33.5401275Z INSTALLED_ACL= 2025-09-07T09:58:33.5401814Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840 2025-09-07T09:58:33.5402433Z CI=true 2025-09-07T09:58:33.5402720Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:58:33.5403125Z RUST_LOG=sccache::server=error 2025-09-07T09:58:33.5403480Z JOB_ID=49775781840 2025-09-07T09:58:33.5403787Z GITHUB_HEAD_REF= 2025-09-07T09:58:33.5404090Z GITHUB_ACTION_REF= 2025-09-07T09:58:33.5404467Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:58:33.5404929Z TEST_SHOWLOCALS=False 2025-09-07T09:58:33.5405301Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T09:58:33.5405753Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:58:33.5406450Z GITHUB_OUTPUT=/home/david/_work/_temp/_runner_file_commands/set_output_b2020384-4817-4d6d-836f-e0fd5fe9d5ad 2025-09-07T09:58:33.5407501Z NO_TD=False 2025-09-07T09:58:33.5407799Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:58:33.5408194Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:58:33.5408587Z _=/usr/bin/env 2025-09-07T09:58:33.5408876Z + echo 'Testing pytorch' 2025-09-07T09:58:33.5409209Z Testing pytorch 2025-09-07T09:58:33.5409519Z + export LANG=C.UTF-8 2025-09-07T09:58:33.5409817Z + LANG=C.UTF-8 2025-09-07T09:58:33.5410098Z + PR_NUMBER= 2025-09-07T09:58:33.5410652Z + [[ inductor_timm_perf_cuda_h100 == \d\e\f\a\u\l\t ]] 2025-09-07T09:58:33.5411461Z + [[ inductor_timm_perf_cuda_h100 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T09:58:33.5411991Z + [[ inductor_timm_perf_cuda_h100 == \s\l\o\w ]] 2025-09-07T09:58:33.5412544Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *slow-gradcheck* ]] 2025-09-07T09:58:33.5413151Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:58:33.5413674Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:58:33.5414130Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:58:33.5414582Z + [[ inductor_timm_perf_cuda_h100 == *crossref* ]] 2025-09-07T09:58:33.5415091Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:58:33.5415624Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T09:58:33.5416177Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T09:58:33.5416662Z + pip_install ninja==1.10.2 2025-09-07T09:58:33.5417131Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:58:33.5417729Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T09:58:34.4396271Z Collecting ninja==1.10.2 2025-09-07T09:58:34.4815155Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T09:58:35.4248017Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T09:58:37.1148150Z Installing collected packages: ninja 2025-09-07T09:58:37.1148539Z Attempting uninstall: ninja 2025-09-07T09:58:37.1155687Z Found existing installation: ninja 1.11.1.3 2025-09-07T09:58:37.1176678Z Uninstalling ninja-1.11.1.3: 2025-09-07T09:58:37.2145206Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T09:58:37.3283165Z Successfully installed ninja-1.10.2 2025-09-07T09:58:37.3939281Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:58:37.3941892Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:58:37.3943318Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T09:58:37.3943895Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *asan* ]] 2025-09-07T09:58:37.3944449Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-debug* ]] 2025-09-07T09:58:37.3945015Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T09:58:37.3945791Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass' 2025-09-07T09:58:37.3946771Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass 2025-09-07T09:58:37.3947440Z + cd test 2025-09-07T09:58:37.3947898Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T09:58:37.9213180Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:58:37.9215768Z import pynvml # type: ignore[import] 2025-09-07T09:58:38.9355235Z + [[ inductor_timm_perf_cuda_h100 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T09:58:38.9355708Z + [[ inductor_timm_perf_cuda_h100 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T09:58:38.9356669Z + [[ inductor_timm_perf_cuda_h100 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T09:58:38.9357221Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T09:58:38.9357876Z + [[ inductor_timm_perf_cuda_h100 == *pr_time_benchmarks* ]] 2025-09-07T09:58:38.9358291Z + [[ inductor_timm_perf_cuda_h100 == *dynamo_eager* ]] 2025-09-07T09:58:38.9358628Z + [[ inductor_timm_perf_cuda_h100 == *aot_eager* ]] 2025-09-07T09:58:38.9358951Z + [[ inductor_timm_perf_cuda_h100 == *aot_inductor* ]] 2025-09-07T09:58:38.9359749Z + [[ inductor_timm_perf_cuda_h100 == *max_autotune_inductor* ]] 2025-09-07T09:58:38.9360128Z + [[ inductor_timm_perf_cuda_h100 == *inductor* ]] 2025-09-07T09:58:38.9360807Z + [[ inductor_timm_perf_cuda_h100 != *perf* ]] 2025-09-07T09:58:38.9361119Z + [[ inductor_timm_perf_cuda_h100 == *dynamic* ]] 2025-09-07T09:58:38.9361414Z + [[ inductor_timm_perf_cuda_h100 == *cpu* ]] 2025-09-07T09:58:38.9361715Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T09:58:38.9376563Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T09:58:38.9376935Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-bazel-* ]] 2025-09-07T09:58:38.9380695Z + cd test 2025-09-07T09:58:38.9381495Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T09:58:39.4759105Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:58:39.4760932Z import pynvml # type: ignore[import] 2025-09-07T09:58:41.0676336Z PyTorch built with: 2025-09-07T09:58:41.0676607Z - GCC 9.5 2025-09-07T09:58:41.0676800Z - C++ Version: 201703 2025-09-07T09:58:41.0677307Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:58:41.0677979Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:58:41.0678368Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:58:41.0678668Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T09:58:41.0678978Z - NNPACK is enabled 2025-09-07T09:58:41.0679252Z - CPU capability usage: AVX2 2025-09-07T09:58:41.0679541Z - CUDA Runtime 12.8 2025-09-07T09:58:41.0679865Z - NVCC architecture flags: -gencode;arch=compute_90,code=sm_90 2025-09-07T09:58:41.0680659Z - CuDNN 90.8 2025-09-07T09:58:41.0685102Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T09:58:41.0689608Z 2025-09-07T09:58:41.6950933Z + cd test 2025-09-07T09:58:41.6951299Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T09:58:42.2315969Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:58:42.2317728Z import pynvml # type: ignore[import] 2025-09-07T09:58:42.9955825Z ATen/Parallel: 2025-09-07T09:58:42.9956120Z at::get_num_threads() : 24 2025-09-07T09:58:42.9956388Z at::get_num_interop_threads() : 96 2025-09-07T09:58:42.9956659Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:58:42.9956918Z omp_get_max_threads() : 24 2025-09-07T09:58:42.9958023Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:58:42.9958548Z mkl_get_max_threads() : 24 2025-09-07T09:58:42.9958885Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:58:42.9959267Z std::thread::hardware_concurrency() : 192 2025-09-07T09:58:42.9959533Z Environment variables: 2025-09-07T09:58:42.9959759Z OMP_NUM_THREADS : [not set] 2025-09-07T09:58:42.9960012Z MKL_NUM_THREADS : [not set] 2025-09-07T09:58:42.9960598Z ATen parallel backend: OpenMP 2025-09-07T09:58:42.9960754Z 2025-09-07T09:58:43.2618204Z + [[ inductor_timm_perf_cuda_h100 == *numpy_2* ]] 2025-09-07T09:58:43.2618579Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T09:58:43.2618914Z + [[ inductor_timm_perf_cuda_h100 == *backward* ]] 2025-09-07T09:58:43.2619208Z + [[ inductor_timm_perf_cuda_h100 == *xla* ]] 2025-09-07T09:58:43.2619494Z + [[ inductor_timm_perf_cuda_h100 == *vllm* ]] 2025-09-07T09:58:43.2619779Z + [[ inductor_timm_perf_cuda_h100 == *executorch* ]] 2025-09-07T09:58:43.2620116Z + [[ inductor_timm_perf_cuda_h100 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T09:58:43.2620653Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T09:58:43.2620994Z + [[ inductor_timm_perf_cuda_h100 == distributed ]] 2025-09-07T09:58:43.2621336Z + [[ inductor_timm_perf_cuda_h100 == *operator_benchmark* ]] 2025-09-07T09:58:43.2621692Z + [[ inductor_timm_perf_cuda_h100 == *inductor_distributed* ]] 2025-09-07T09:58:43.2622056Z + [[ inductor_timm_perf_cuda_h100 == *inductor-halide* ]] 2025-09-07T09:58:43.2622398Z + [[ inductor_timm_perf_cuda_h100 == *inductor-triton-cpu* ]] 2025-09-07T09:58:43.2622770Z + [[ inductor_timm_perf_cuda_h100 == *inductor-micro-benchmark* ]] 2025-09-07T09:58:43.2623212Z + [[ inductor_timm_perf_cuda_h100 == *huggingface* ]] 2025-09-07T09:58:43.2623505Z + [[ inductor_timm_perf_cuda_h100 == *timm* ]] 2025-09-07T09:58:43.2623764Z + install_torchvision 2025-09-07T09:58:43.2623965Z + local orig_preload 2025-09-07T09:58:43.2624149Z + local commit 2025-09-07T09:58:43.2624817Z ++ get_pinned_commit vision 2025-09-07T09:58:43.2625131Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T09:58:43.2641099Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:58:43.2641392Z + orig_preload= 2025-09-07T09:58:43.2641672Z + '[' -n '' ']' 2025-09-07T09:58:43.2641916Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:58:43.2642213Z + export FORCE_CUDA=1 2025-09-07T09:58:43.2642412Z + FORCE_CUDA=1 2025-09-07T09:58:43.2642591Z + export WITH_CUDA=1 2025-09-07T09:58:43.2642784Z + WITH_CUDA=1 2025-09-07T09:58:43.2643248Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T09:58:43.2652704Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:58:43.2653212Z + local wheel_dir=dist/vision 2025-09-07T09:58:43.2653443Z + local found_whl=0 2025-09-07T09:58:43.2653641Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:58:43.2654030Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:58:43.2654409Z + found_whl=1 2025-09-07T09:58:43.2654589Z + break 2025-09-07T09:58:43.2654743Z + '[' 1 == 0 ']' 2025-09-07T09:58:43.2654934Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:58:43.2655339Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:58:43.2656206Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:58:43.2656563Z + local args 2025-09-07T09:58:43.2656882Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:58:43.2657281Z + for path in "${args[@]}" 2025-09-07T09:58:43.2657656Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:58:43.2658199Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:58:43.2658997Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:58:43.6058638Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:58:43.6146823Z Installing collected packages: torchvision 2025-09-07T09:58:44.0642905Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T09:58:44.1058560Z + '[' -n '' ']' 2025-09-07T09:58:44.1058830Z + id=0 2025-09-07T09:58:44.1059041Z + test_dynamo_benchmark timm_models 0 2025-09-07T09:58:44.1064962Z ++ pwd 2025-09-07T09:58:44.1068419Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:58:44.1068815Z + local suite=timm_models 2025-09-07T09:58:44.1069051Z + shift 2025-09-07T09:58:44.1069233Z + local shard_id=0 2025-09-07T09:58:44.1069453Z + shift 2025-09-07T09:58:44.1069721Z + [[ inductor_timm_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T09:58:44.1070139Z + [[ inductor_timm_perf_cuda_h100 == *perf* ]] 2025-09-07T09:58:44.1071018Z + [[ inductor_timm_perf_cuda_h100 == *b200* ]] 2025-09-07T09:58:44.1071360Z + test_single_dynamo_benchmark dashboard timm_models 0 2025-09-07T09:58:44.1073537Z ++ pwd 2025-09-07T09:58:44.1075866Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:58:44.1076361Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:58:44.1096631Z + local name=dashboard 2025-09-07T09:58:44.1096858Z + shift 2025-09-07T09:58:44.1097055Z + local suite=timm_models 2025-09-07T09:58:44.1097265Z + shift 2025-09-07T09:58:44.1097428Z + local shard_id=0 2025-09-07T09:58:44.1097601Z + shift 2025-09-07T09:58:44.1097773Z + partition_flags=() 2025-09-07T09:58:44.1097989Z + local partition_flags 2025-09-07T09:58:44.1098195Z + [[ -n 7 ]] 2025-09-07T09:58:44.1098355Z + [[ -n 0 ]] 2025-09-07T09:58:44.1098683Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T09:58:44.1099124Z + [[ inductor_timm_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T09:58:44.1099434Z + [[ inductor_timm_perf_cuda_h100 == *perf* ]] 2025-09-07T09:58:44.1099866Z + test_perf_for_dashboard timm_models --device cuda --total-partitions 7 --partition-id 0 2025-09-07T09:58:44.1101574Z ++ pwd 2025-09-07T09:58:44.1104381Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:58:44.1104883Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:58:44.1118176Z + local suite=timm_models 2025-09-07T09:58:44.1118453Z + shift 2025-09-07T09:58:44.1118641Z + local backend=inductor 2025-09-07T09:58:44.1118880Z + modes=() 2025-09-07T09:58:44.1119050Z + local modes 2025-09-07T09:58:44.1120148Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *training-true* ]] 2025-09-07T09:58:44.1121464Z + modes+=(training) 2025-09-07T09:58:44.1122503Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *inference-true* ]] 2025-09-07T09:58:44.1123575Z + modes+=(inference) 2025-09-07T09:58:44.1123786Z + targets=('accuracy' 'performance') 2025-09-07T09:58:44.1124018Z + local targets 2025-09-07T09:58:44.1124212Z + local device=cuda 2025-09-07T09:58:44.1124417Z + [[ inductor_timm_perf_cuda_h100 == *cpu* ]] 2025-09-07T09:58:44.1125239Z + [[ inductor_timm_perf_cuda_h100 == *cuda_a10g* ]] 2025-09-07T09:58:44.1125537Z + [[ inductor_timm_perf_cuda_h100 == *h100* ]] 2025-09-07T09:58:44.1125793Z + device=cuda_h100 2025-09-07T09:58:44.1125989Z + for mode in "${modes[@]}" 2025-09-07T09:58:44.1126215Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:58:44.1126452Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T09:58:44.1126692Z + dtype=amp 2025-09-07T09:58:44.1126871Z + for target in "${targets[@]}" 2025-09-07T09:58:44.1127097Z + target_flag=('--accuracy') 2025-09-07T09:58:44.1127305Z + local target_flag 2025-09-07T09:58:44.1127747Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:58:44.1128015Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T09:58:44.1128289Z + target_flag+=(--no-translation-validation) 2025-09-07T09:58:44.1129372Z + [[ 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* ]] 2025-09-07T09:58:44.1131350Z + [[ 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* ]] 2025-09-07T09:58:44.1133089Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 7 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:58:45.1255939Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:58:45.1257159Z import pynvml # type: ignore[import] 2025-09-07T09:58:51.0828476Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:58:51.0830420Z import pynvml # type: ignore[import] 2025-09-07T09:58:54.2746157Z 2025-09-07T09:58:54.6292128Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:58:54.6292479Z 2025-09-07T09:58:54.7571830Z model.safetensors: 0% 0.00/95.5M [00:00 will be ignored 2025-09-07T10:01:22.1104271Z pass 2025-09-07T10:01:27.0029746Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:01:27.0031398Z import pynvml # type: ignore[import] 2025-09-07T10:01:29.9793136Z 2025-09-07T10:01:30.5451540Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:30.5451924Z 2025-09-07T10:01:30.7165750Z model.safetensors: 0% 0.00/50.1M [00:00 will be ignored 2025-09-07T10:08:39.1918642Z pass 2025-09-07T10:08:45.2083013Z accuracy pass_rate=87.50% 2025-09-07T10:08:45.2090102Z calls_captured gmean=711.01x mean=927.500x 2025-09-07T10:08:45.2093989Z unique_graphs gmean=2.33x mean=2.375x 2025-09-07T10:08:45.2097233Z graph_breaks gmean=6.21x mean=6.250x 2025-09-07T10:08:45.2101114Z unique_graph_breaks gmean=4.86x mean=4.875x 2025-09-07T10:08:45.2104760Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:08:45.2108177Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:08:45.2111926Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:08:45.2113063Z compilation_latency mean=61.180 seconds 2025-09-07T10:08:46.3345528Z + [[ 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* ]] 2025-09-07T10:08:46.3347780Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 7 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:08:47.3574801Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:08:47.3577252Z import pynvml # type: ignore[import] 2025-09-07T10:08:52.2991362Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:08:52.2993196Z import pynvml # type: ignore[import] 2025-09-07T10:08:55.3069742Z 2025-09-07T10:08:56.8195180Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:08:56.8196204Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:08:56.8196492Z cuda train adv_inception_v3 2025-09-07T10:10:19.8512801Z pass 2025-09-07T10:10:26.4024854Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:10:26.4026845Z import pynvml # type: ignore[import] 2025-09-07T10:10:29.4393738Z 2025-09-07T10:10:31.2269418Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:10:31.2269819Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:10:31.2270134Z cuda train beit_base_patch16_224 2025-09-07T10:10:54.3052364Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 442, in torch_dynamo_resume_in_forward_and_backward_pass_at_440 2025-09-07T10:10:54.3053498Z pred = mod(*cloned_inputs) 2025-09-07T10:10:54.3054008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 520, in forward 2025-09-07T10:10:54.3054503Z x = self.forward_features(x) 2025-09-07T10:10:54.3055007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 508, in forward_features 2025-09-07T10:10:54.3055587Z x = blk(x, shared_rel_pos_bias=rel_pos_bias) 2025-09-07T10:10:54.3056110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 247, in forward 2025-09-07T10:10:54.3056777Z x = x + self.drop_path1(self.gamma_1 * self.attn(self.norm1(x), shared_rel_pos_bias=shared_rel_pos_bias)) 2025-09-07T10:10:54.3057421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 155, in forward 2025-09-07T10:10:54.3057901Z rel_pos_bias = self._get_rel_pos_bias() 2025-09-07T10:10:54.3058424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 130, in _get_rel_pos_bias 2025-09-07T10:10:54.3059019Z relative_position_bias = self.relative_position_bias_table[ 2025-09-07T10:10:54.3059308Z 2025-09-07T10:10:54.3059313Z 2025-09-07T10:10:54.4358513Z W0907 10:10:54.435000 16265 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:11:21.3771153Z pass 2025-09-07T10:11:26.2279075Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:11:26.2280710Z import pynvml # type: ignore[import] 2025-09-07T10:11:29.2195691Z 2025-09-07T10:11:30.9016923Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:11:30.9017276Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:11:30.9017611Z cuda train botnet26t_256 2025-09-07T10:12:05.5032572Z pass 2025-09-07T10:12:10.0465371Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:12:10.0467493Z import pynvml # type: ignore[import] 2025-09-07T10:12:13.0419022Z 2025-09-07T10:12:17.5644828Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:12:17.5645387Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:12:17.5645868Z cuda train cait_m36_384 2025-09-07T10:13:47.5902294Z pass 2025-09-07T10:13:54.0078381Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:13:54.0079751Z import pynvml # type: ignore[import] 2025-09-07T10:13:57.0605238Z 2025-09-07T10:13:58.2948453Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:13:58.2948821Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:13:58.2949132Z cuda train coat_lite_mini 2025-09-07T10:14:35.1154074Z pass 2025-09-07T10:14:39.5971691Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:14:39.5973670Z import pynvml # type: ignore[import] 2025-09-07T10:14:42.6994664Z 2025-09-07T10:14:43.8410676Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:14:43.8411203Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:14:43.8411609Z cuda train convmixer_768_32 2025-09-07T10:15:20.4284313Z pass 2025-09-07T10:15:25.1911326Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:15:25.1912794Z import pynvml # type: ignore[import] 2025-09-07T10:15:28.2255694Z 2025-09-07T10:15:29.9877773Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:15:29.9878120Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:15:29.9878403Z cuda train convnext_base 2025-09-07T10:16:13.7188015Z W0907 10:16:13.717000 17650 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:17:05.7566464Z pass 2025-09-07T10:17:11.5601605Z accuracy pass_rate=100.00% 2025-09-07T10:17:11.5607815Z calls_captured gmean=664.47x mean=896.857x 2025-09-07T10:17:11.5610456Z unique_graphs gmean=2.25x mean=2.286x 2025-09-07T10:17:11.5614213Z graph_breaks gmean=6.11x mean=6.143x 2025-09-07T10:17:11.5617405Z unique_graph_breaks gmean=4.84x mean=4.857x 2025-09-07T10:17:11.5621094Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:17:11.5624463Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:17:11.5627796Z cudagraph_skips gmean=0.00x mean=0.143x 2025-09-07T10:17:11.5629036Z compilation_latency mean=58.791 seconds 2025-09-07T10:17:12.7072907Z + [[ 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* ]] 2025-09-07T10:17:12.7076401Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 7 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:17:13.7361135Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:17:13.7363315Z import pynvml # type: ignore[import] 2025-09-07T10:17:18.6259805Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:17:18.6261432Z import pynvml # type: ignore[import] 2025-09-07T10:17:21.6534097Z 2025-09-07T10:17:23.6142199Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:17:23.6142714Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:17:23.6143853Z cuda train adv_inception_v3 2025-09-07T10:17:38.2156484Z pass 2025-09-07T10:17:41.7189155Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:17:41.7191542Z import pynvml # type: ignore[import] 2025-09-07T10:17:44.7847009Z 2025-09-07T10:17:46.5333856Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:17:46.5334230Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:17:46.5334544Z cuda train beit_base_patch16_224 2025-09-07T10:17:53.0359107Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 442, in torch_dynamo_resume_in_forward_and_backward_pass_at_440 2025-09-07T10:17:53.0360890Z pred = mod(*cloned_inputs) 2025-09-07T10:17:53.0361609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 520, in forward 2025-09-07T10:17:53.0362349Z x = self.forward_features(x) 2025-09-07T10:17:53.0363096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 508, in forward_features 2025-09-07T10:17:53.0363882Z x = blk(x, shared_rel_pos_bias=rel_pos_bias) 2025-09-07T10:17:53.0364630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 247, in forward 2025-09-07T10:17:53.0365593Z x = x + self.drop_path1(self.gamma_1 * self.attn(self.norm1(x), shared_rel_pos_bias=shared_rel_pos_bias)) 2025-09-07T10:17:53.0366535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 155, in forward 2025-09-07T10:17:53.0367247Z rel_pos_bias = self._get_rel_pos_bias() 2025-09-07T10:17:53.0368015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 130, in _get_rel_pos_bias 2025-09-07T10:17:53.0368906Z relative_position_bias = self.relative_position_bias_table[ 2025-09-07T10:17:53.0369283Z 2025-09-07T10:17:53.0369298Z 2025-09-07T10:17:53.9143667Z W0907 10:17:53.913000 18297 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:17:59.7225183Z pass 2025-09-07T10:18:03.2005881Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:18:03.2018104Z import pynvml # type: ignore[import] 2025-09-07T10:18:06.2441106Z 2025-09-07T10:18:07.9932237Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:18:07.9932646Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:18:07.9933018Z cuda train botnet26t_256 2025-09-07T10:18:16.2700817Z pass 2025-09-07T10:18:19.6340746Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:18:19.6343663Z import pynvml # type: ignore[import] 2025-09-07T10:18:22.7018697Z 2025-09-07T10:18:26.5757344Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:18:26.5757685Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:18:26.5759135Z cuda train cait_m36_384 2025-09-07T10:18:44.4366635Z pass 2025-09-07T10:18:48.1634367Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:18:48.1636418Z import pynvml # type: ignore[import] 2025-09-07T10:18:51.1785691Z 2025-09-07T10:18:53.3976430Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:18:53.3976796Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:18:53.3977099Z cuda train coat_lite_mini 2025-09-07T10:19:03.1483648Z pass 2025-09-07T10:19:06.5832543Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:19:06.5833813Z import pynvml # type: ignore[import] 2025-09-07T10:19:09.5719740Z 2025-09-07T10:19:10.7133903Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:19:10.7134400Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:19:10.7134801Z cuda train convmixer_768_32 2025-09-07T10:19:20.7857116Z pass 2025-09-07T10:19:24.0507103Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:19:24.0508570Z import pynvml # type: ignore[import] 2025-09-07T10:19:27.4184068Z 2025-09-07T10:19:29.5086601Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:19:29.5086997Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:19:29.5087317Z cuda train convnext_base 2025-09-07T10:19:39.3611635Z W0907 10:19:39.360000 19735 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:19:51.1029116Z pass 2025-09-07T10:19:53.8343377Z accuracy pass_rate=100.00% 2025-09-07T10:19:53.8348112Z calls_captured gmean=664.47x mean=896.857x 2025-09-07T10:19:53.8353484Z unique_graphs gmean=2.25x mean=2.286x 2025-09-07T10:19:53.8357854Z graph_breaks gmean=6.11x mean=6.143x 2025-09-07T10:19:53.8362759Z unique_graph_breaks gmean=4.84x mean=4.857x 2025-09-07T10:19:53.8367295Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:19:53.8372303Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:19:53.8376879Z cudagraph_skips gmean=0.00x mean=0.143x 2025-09-07T10:19:53.8378410Z compilation_latency mean=11.408 seconds 2025-09-07T10:19:54.9599557Z + [[ 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* ]] 2025-09-07T10:19:54.9600920Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T10:19:54.9602229Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 7 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:19:55.9873797Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:19:55.9876309Z import pynvml # type: ignore[import] 2025-09-07T10:20:00.7867645Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:20:00.7868951Z import pynvml # type: ignore[import] 2025-09-07T10:20:03.9397418Z 2025-09-07T10:20:05.7073190Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:20:05.7073535Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:20:05.7074443Z cuda train adv_inception_v3 2025-09-07T10:22:24.9252140Z pass 2025-09-07T10:22:31.2844238Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:22:31.2845980Z import pynvml # type: ignore[import] 2025-09-07T10:22:34.3434951Z 2025-09-07T10:22:36.0563727Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:22:36.0564101Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:22:36.0564367Z cuda train beit_base_patch16_224 2025-09-07T10:23:24.0728769Z W0907 10:23:24.071000 21282 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:24:06.1349939Z pass 2025-09-07T10:24:11.7014282Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:24:11.7016210Z import pynvml # type: ignore[import] 2025-09-07T10:24:14.6751055Z 2025-09-07T10:24:16.0866491Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:24:16.0866888Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:24:16.0867183Z cuda train botnet26t_256 2025-09-07T10:25:13.4464496Z pass 2025-09-07T10:25:18.4979772Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:25:18.4982192Z import pynvml # type: ignore[import] 2025-09-07T10:25:21.5428293Z 2025-09-07T10:25:25.8265133Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:25:25.8265441Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:25:25.8265677Z cuda train cait_m36_384 2025-09-07T10:30:13.8278722Z pass 2025-09-07T10:30:21.1679378Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:30:21.1680786Z import pynvml # type: ignore[import] 2025-09-07T10:30:24.1296907Z 2025-09-07T10:30:26.1878947Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:30:26.1879518Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:30:26.1879969Z cuda train coat_lite_mini 2025-09-07T10:31:29.0234551Z pass 2025-09-07T10:31:33.8676031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:31:33.8677596Z import pynvml # type: ignore[import] 2025-09-07T10:31:36.8809377Z 2025-09-07T10:31:39.2330927Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:31:39.2331278Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:31:39.2332085Z cuda train convit_base 2025-09-07T10:31:39.3022305Z WARNING:common:fp64 golden ref were not generated for convit_base. Setting accuracy check to cosine 2025-09-07T10:33:50.6796168Z W0907 10:33:50.678000 24880 site-packages/torch/_dynamo/utils.py:3025] Similarity score=0.9344736337661743 2025-09-07T10:33:50.6798788Z E0907 10:33:50.679000 24880 site-packages/torch/_dynamo/utils.py:2976] Accuracy failed for key name blocks.1.mlp.fc1.weight.grad 2025-09-07T10:33:50.7060116Z fail_accuracy 2025-09-07T10:33:56.5248476Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:33:56.5249769Z import pynvml # type: ignore[import] 2025-09-07T10:33:59.6144267Z 2025-09-07T10:34:01.3570010Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:34:01.3570596Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:34:01.3570886Z cuda train convmixer_768_32 2025-09-07T10:35:05.4975382Z pass 2025-09-07T10:35:10.5086119Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:35:10.5087443Z import pynvml # type: ignore[import] 2025-09-07T10:35:13.5016106Z 2025-09-07T10:35:15.5264695Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:35:15.5265105Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:35:15.5265408Z cuda train convnext_base 2025-09-07T10:36:43.5789316Z W0907 10:36:43.577000 26091 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:38:06.7414037Z pass 2025-09-07T10:38:13.2991163Z accuracy pass_rate=87.50% 2025-09-07T10:38:13.2995701Z calls_captured gmean=711.01x mean=927.500x 2025-09-07T10:38:13.2999021Z unique_graphs gmean=2.33x mean=2.375x 2025-09-07T10:38:13.3002699Z graph_breaks gmean=6.21x mean=6.250x 2025-09-07T10:38:13.3006039Z unique_graph_breaks gmean=4.86x mean=4.875x 2025-09-07T10:38:13.3009413Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:38:13.3013137Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:38:13.3016488Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:38:13.3017826Z compilation_latency mean=124.085 seconds 2025-09-07T10:38:14.5957905Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing_cudagraphs-true* ]] 2025-09-07T10:38:14.5959146Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:38:14.5960626Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T10:38:14.5961849Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:38:14.5962899Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *aotinductor-true* ]] 2025-09-07T10:38:14.5963956Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:38:14.5965006Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T10:38:14.5966075Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T10:38:14.5967173Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 7 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:38:15.6237489Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:38:15.6239425Z import pynvml # type: ignore[import] 2025-09-07T10:38:20.6017601Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:38:20.6018883Z import pynvml # type: ignore[import] 2025-09-07T10:38:23.6140599Z 2025-09-07T10:38:27.9704772Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:38:27.9705142Z loading model: 0it [00:04, ?it/s] 2025-09-07T10:38:27.9705401Z cuda train adv_inception_v3 2025-09-07T10:39:07.3475260Z Autotune Choices Stats: 2025-09-07T10:39:07.3477423Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.020927999168634415, "best_triton_pos": 1, "best_triton_time": 0.033984001725912094, "best_triton_kernel": "triton_convolution2d_4", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:39:07.3478998Z AUTOTUNE convolution(8x3x299x299, 32x3x3x3) 2025-09-07T10:39:07.3479326Z strides: [268203, 1, 897, 3], [27, 1, 9, 3] 2025-09-07T10:39:07.3479623Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:07.3479907Z convolution 0.0209 ms 100.0% 2025-09-07T10:39:07.3481111Z triton_convolution2d_4 0.0340 ms 61.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.3482479Z triton_convolution2d_0 0.0359 ms 58.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.3483825Z triton_convolution2d_2 0.0367 ms 57.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:07.3485177Z triton_convolution2d_3 0.0401 ms 52.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.3486500Z triton_convolution2d_5 0.0484 ms 43.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.3487727Z triton_convolution2d_1 0.0631 ms 33.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.3488706Z SingleProcess AUTOTUNE benchmarking takes 0.1009 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:39:07.4605720Z Autotune Choices Stats: 2025-09-07T10:39:07.4607730Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_9", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.029152000322937965, "best_triton_pos": 0} 2025-09-07T10:39:07.4612877Z AUTOTUNE convolution(8x32x149x149, 32x32x3x3) 2025-09-07T10:39:07.4613370Z strides: [710432, 1, 4768, 32], [288, 1, 96, 32] 2025-09-07T10:39:07.4613802Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:07.4614980Z triton_convolution2d_9 0.0292 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.4617286Z triton_convolution2d_12 0.0305 ms 95.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.4618695Z triton_convolution2d_11 0.0320 ms 91.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.4620031Z triton_convolution2d_10 0.0321 ms 90.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.4621561Z triton_convolution2d_6 0.0395 ms 73.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.4623000Z triton_convolution2d_7 0.0412 ms 70.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.4624356Z triton_convolution2d_8 0.0626 ms 46.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:07.4625177Z convolution 0.1607 ms 18.1% 2025-09-07T10:39:07.4625687Z SingleProcess AUTOTUNE benchmarking takes 0.1122 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:07.5804109Z Autotune Choices Stats: 2025-09-07T10:39:07.5805587Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03174399957060814, "best_triton_pos": 1, "best_triton_time": 0.03574400022625923, "best_triton_kernel": "triton_convolution2d_16", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:39:07.5810781Z AUTOTUNE convolution(8x32x147x147, 64x32x3x3) 2025-09-07T10:39:07.5811169Z strides: [691488, 1, 4704, 32], [288, 1, 96, 32] 2025-09-07T10:39:07.5811527Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:07.5811852Z convolution 0.0317 ms 100.0% 2025-09-07T10:39:07.5812781Z triton_convolution2d_16 0.0357 ms 88.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.5814351Z triton_convolution2d_19 0.0380 ms 83.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.5815871Z triton_convolution2d_17 0.0388 ms 81.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.5817174Z triton_convolution2d_18 0.0410 ms 77.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.5818389Z triton_convolution2d_14 0.0533 ms 59.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.5819816Z triton_convolution2d_13 0.0774 ms 41.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.5821192Z triton_convolution2d_15 0.1188 ms 26.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:07.5822341Z SingleProcess AUTOTUNE benchmarking takes 0.1193 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:07.8161764Z Autotune Choices Stats: 2025-09-07T10:39:07.8162842Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_32", "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": 0.01056000031530857, "best_triton_pos": 0} 2025-09-07T10:39:07.8169782Z AUTOTUNE mm(42632x64, 64x80) 2025-09-07T10:39:07.8170049Z strides: [64, 1], [1, 64] 2025-09-07T10:39:07.8170478Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:07.8171188Z triton_mm_32 0.0106 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:39:07.8172257Z triton_mm_31 0.0107 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:07.8172926Z mm 0.0110 ms 96.2% 2025-09-07T10:39:07.8173536Z triton_mm_36 0.0116 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:07.8174589Z triton_mm_33 0.0117 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:07.8175641Z triton_mm_38 0.0121 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:07.8176696Z triton_mm_37 0.0122 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:07.8177739Z triton_mm_27 0.0122 ms 86.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:07.8178785Z triton_mm_34 0.0126 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:07.8179840Z triton_mm_28 0.0128 ms 82.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:07.8180896Z SingleProcess AUTOTUNE benchmarking takes 0.2345 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:07.9611778Z Autotune Choices Stats: 2025-09-07T10:39:07.9613995Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04543999955058098, "best_triton_pos": 1, "best_triton_time": 0.05999999865889549, "best_triton_kernel": "triton_convolution2d_45", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:39:07.9617976Z AUTOTUNE convolution(8x80x73x73, 192x80x3x3) 2025-09-07T10:39:07.9618302Z strides: [426320, 1, 5840, 80], [720, 1, 240, 80] 2025-09-07T10:39:07.9618601Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:07.9619104Z convolution 0.0454 ms 100.0% 2025-09-07T10:39:07.9619863Z triton_convolution2d_45 0.0600 ms 75.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.9621425Z triton_convolution2d_42 0.0731 ms 62.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.9622906Z triton_convolution2d_43 0.0745 ms 61.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.9624157Z triton_convolution2d_44 0.0745 ms 61.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:07.9625392Z triton_convolution2d_39 0.0756 ms 60.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.9626592Z triton_convolution2d_40 0.0810 ms 56.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:07.9627600Z triton_convolution2d_41 0.1867 ms 24.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:07.9628421Z SingleProcess AUTOTUNE benchmarking takes 0.1443 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:08.1809342Z Autotune Choices Stats: 2025-09-07T10:39:08.1811598Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_57", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.008799999952316284, "best_triton_pos": 0} 2025-09-07T10:39:08.1816312Z AUTOTUNE mm(9800x192, 192x64) 2025-09-07T10:39:08.1816811Z strides: [192, 1], [1, 192] 2025-09-07T10:39:08.1817103Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:08.1817746Z triton_mm_57 0.0088 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:08.1818741Z triton_mm_53 0.0090 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:08.1819694Z triton_mm_63 0.0092 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:08.1820424Z mm 0.0092 ms 95.5% 2025-09-07T10:39:08.1820984Z triton_mm_56 0.0094 ms 93.9% 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 2025-09-07T10:39:08.1821936Z triton_mm_62 0.0094 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:08.1822962Z triton_mm_60 0.0095 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:08.1823906Z triton_mm_55 0.0095 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:08.1824842Z triton_mm_49 0.0099 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:08.1826049Z triton_mm_47 0.0100 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.1826867Z SingleProcess AUTOTUNE benchmarking takes 0.2183 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:39:08.3999248Z Autotune Choices Stats: 2025-09-07T10:39:08.4001143Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_75", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.009056000038981438, "best_triton_pos": 0} 2025-09-07T10:39:08.4006372Z AUTOTUNE mm(9800x192, 192x48) 2025-09-07T10:39:08.4006729Z strides: [192, 1], [1, 192] 2025-09-07T10:39:08.4007090Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:08.4007972Z triton_mm_75 0.0091 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:08.4008832Z mm 0.0092 ms 99.0% 2025-09-07T10:39:08.4009596Z triton_mm_71 0.0092 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:08.4011082Z triton_mm_81 0.0092 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:08.4012406Z triton_mm_80 0.0093 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:08.4013717Z triton_mm_78 0.0094 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:08.4015026Z triton_mm_74 0.0094 ms 95.9% 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 2025-09-07T10:39:08.4016331Z triton_mm_73 0.0098 ms 92.5% 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=3, num_warps=4 2025-09-07T10:39:08.4017648Z triton_mm_65 0.0100 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.4018952Z triton_mm_67 0.0100 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:08.4020094Z SingleProcess AUTOTUNE benchmarking takes 0.2185 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:39:08.5150812Z Autotune Choices Stats: 2025-09-07T10:39:08.5152271Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.022431999444961548, "best_triton_pos": 1, "best_triton_time": 0.03779200091958046, "best_triton_kernel": "triton_convolution2d_86", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=5, KERNEL_W=5, PADDING_H=2, PADDING_W=2, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:08.5157804Z AUTOTUNE convolution(8x48x35x35, 64x48x5x5) 2025-09-07T10:39:08.5158116Z strides: [58800, 1, 1680, 48], [1200, 1, 240, 48] 2025-09-07T10:39:08.5158400Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:08.5158668Z convolution 0.0224 ms 100.0% 2025-09-07T10:39:08.5159423Z triton_convolution2d_86 0.0378 ms 59.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=5, KERNEL_W=5, PADDING_H=2, PADDING_W=2, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.5161301Z triton_convolution2d_87 0.0397 ms 56.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=5, KERNEL_W=5, PADDING_H=2, PADDING_W=2, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:08.5162517Z triton_convolution2d_85 0.0423 ms 53.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=5, KERNEL_W=5, PADDING_H=2, PADDING_W=2, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:08.5163971Z triton_convolution2d_88 0.0501 ms 44.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=5, KERNEL_W=5, PADDING_H=2, PADDING_W=2, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:08.5165202Z triton_convolution2d_82 0.0502 ms 44.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=5, KERNEL_W=5, PADDING_H=2, PADDING_W=2, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.5166422Z triton_convolution2d_83 0.0568 ms 39.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=5, KERNEL_W=5, PADDING_H=2, PADDING_W=2, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.5167568Z triton_convolution2d_84 0.0841 ms 26.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=5, KERNEL_W=5, PADDING_H=2, PADDING_W=2, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:08.5168413Z SingleProcess AUTOTUNE benchmarking takes 0.1147 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:08.6161983Z Autotune Choices Stats: 2025-09-07T10:39:08.6163431Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.015359999611973763, "best_triton_pos": 1, "best_triton_time": 0.017023999243974686, "best_triton_kernel": "triton_convolution2d_111", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:08.6169882Z AUTOTUNE convolution(8x64x35x35, 96x64x3x3) 2025-09-07T10:39:08.6170558Z strides: [78400, 1, 2240, 64], [576, 1, 192, 64] 2025-09-07T10:39:08.6170851Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:08.6171118Z convolution 0.0154 ms 100.0% 2025-09-07T10:39:08.6171867Z triton_convolution2d_111 0.0170 ms 90.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.6173099Z triton_convolution2d_112 0.0178 ms 86.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:08.6174335Z triton_convolution2d_110 0.0182 ms 84.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:08.6175571Z triton_convolution2d_107 0.0227 ms 67.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.6176803Z triton_convolution2d_113 0.0228 ms 67.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:08.6178022Z triton_convolution2d_108 0.0265 ms 58.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.6179251Z triton_convolution2d_109 0.0504 ms 30.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:08.6180594Z SingleProcess AUTOTUNE benchmarking takes 0.0994 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:08.7194745Z Autotune Choices Stats: 2025-09-07T10:39:08.7196446Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.016287999227643013, "best_triton_pos": 1, "best_triton_time": 0.023231999948620796, "best_triton_kernel": "triton_convolution2d_119", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:39:08.7202603Z AUTOTUNE convolution(8x96x35x35, 96x96x3x3) 2025-09-07T10:39:08.7202917Z strides: [117600, 1, 3360, 96], [864, 1, 288, 96] 2025-09-07T10:39:08.7203206Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:08.7203477Z convolution 0.0163 ms 100.0% 2025-09-07T10:39:08.7204208Z triton_convolution2d_119 0.0232 ms 70.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:08.7205452Z triton_convolution2d_118 0.0241 ms 67.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.7206712Z triton_convolution2d_117 0.0289 ms 56.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:08.7207867Z triton_convolution2d_120 0.0297 ms 54.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:08.7209014Z triton_convolution2d_114 0.0350 ms 46.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.7210158Z triton_convolution2d_115 0.0368 ms 44.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:08.7211620Z triton_convolution2d_116 0.0608 ms 26.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:08.7212544Z SingleProcess AUTOTUNE benchmarking takes 0.1020 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:08.9279900Z Autotune Choices Stats: 2025-09-07T10:39:08.9281239Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_131", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.008895999751985073, "best_triton_pos": 0} 2025-09-07T10:39:08.9287471Z AUTOTUNE mm(9800x192, 192x32) 2025-09-07T10:39:08.9287718Z strides: [192, 1], [1, 192] 2025-09-07T10:39:08.9287962Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:08.9288623Z triton_mm_131 0.0089 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:08.9289630Z triton_mm_137 0.0089 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:08.9290743Z triton_mm_128 0.0090 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:08.9291709Z mm 0.0091 ms 97.5% 2025-09-07T10:39:08.9292294Z triton_mm_136 0.0092 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:08.9293252Z triton_mm_124 0.0093 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:08.9294388Z triton_mm_130 0.0093 ms 95.2% 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=4, num_warps=8 2025-09-07T10:39:08.9295349Z triton_mm_132 0.0093 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:39:08.9296324Z triton_mm_134 0.0093 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:08.9297290Z triton_mm_123 0.0094 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:08.9298082Z SingleProcess AUTOTUNE benchmarking takes 0.2072 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:39:09.1457230Z Autotune Choices Stats: 2025-09-07T10:39:09.1458235Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_155", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.009664000011980534, "best_triton_pos": 0} 2025-09-07T10:39:09.1465747Z AUTOTUNE mm(9800x256, 256x64) 2025-09-07T10:39:09.1465995Z strides: [256, 1], [1, 256] 2025-09-07T10:39:09.1466342Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:09.1467118Z triton_mm_155 0.0097 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:09.1468180Z triton_mm_149 0.0098 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.1469234Z triton_mm_145 0.0099 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:09.1469892Z mm 0.0100 ms 96.8% 2025-09-07T10:39:09.1470831Z triton_mm_139 0.0103 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:09.1471886Z triton_mm_148 0.0104 ms 93.2% 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=4, num_warps=8 2025-09-07T10:39:09.1472931Z triton_mm_152 0.0104 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:09.1473979Z triton_mm_154 0.0104 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.1475027Z triton_mm_147 0.0106 ms 91.2% 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 2025-09-07T10:39:09.1476075Z triton_mm_141 0.0107 ms 90.4% 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 2025-09-07T10:39:09.1477179Z SingleProcess AUTOTUNE benchmarking takes 0.2174 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:39:09.3618887Z Autotune Choices Stats: 2025-09-07T10:39:09.3619893Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_173", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.009824000298976898, "best_triton_pos": 0} 2025-09-07T10:39:09.3628065Z AUTOTUNE mm(9800x256, 256x48) 2025-09-07T10:39:09.3628355Z strides: [256, 1], [1, 256] 2025-09-07T10:39:09.3629035Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:09.3629779Z triton_mm_173 0.0098 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:09.3630668Z mm 0.0099 ms 99.7% 2025-09-07T10:39:09.3631284Z triton_mm_163 0.0099 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:09.3632348Z triton_mm_167 0.0099 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.3633398Z triton_mm_157 0.0103 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:09.3634457Z triton_mm_170 0.0103 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:09.3635498Z triton_mm_172 0.0103 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.3636540Z triton_mm_166 0.0106 ms 92.5% 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 2025-09-07T10:39:09.3637577Z triton_mm_159 0.0108 ms 91.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:09.3638628Z triton_mm_165 0.0108 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.3639542Z SingleProcess AUTOTUNE benchmarking takes 0.2157 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:39:09.5835423Z Autotune Choices Stats: 2025-09-07T10:39:09.5836568Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_248", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.010304000228643417, "best_triton_pos": 0} 2025-09-07T10:39:09.5844187Z AUTOTUNE mm(9800x288, 288x64) 2025-09-07T10:39:09.5844464Z strides: [288, 1], [1, 288] 2025-09-07T10:39:09.5844756Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:09.5845534Z triton_mm_248 0.0103 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:09.5846284Z mm 0.0103 ms 99.7% 2025-09-07T10:39:09.5846987Z triton_mm_242 0.0106 ms 97.6% 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=4 2025-09-07T10:39:09.5847955Z triton_mm_238 0.0107 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:09.5848913Z triton_mm_241 0.0108 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:09.5850661Z triton_mm_245 0.0108 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:09.5851637Z triton_mm_247 0.0109 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.5852827Z triton_mm_234 0.0112 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:09.5853795Z triton_mm_240 0.0112 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.5862566Z triton_mm_233 0.0116 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:09.5863450Z SingleProcess AUTOTUNE benchmarking takes 0.2166 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:39:09.8008127Z Autotune Choices Stats: 2025-09-07T10:39:09.8009439Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01027199998497963, "best_triton_pos": 1, "best_triton_time": 0.010304000228643417, "best_triton_kernel": "triton_mm_266", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:39:09.8017229Z AUTOTUNE mm(9800x288, 288x48) 2025-09-07T10:39:09.8017508Z strides: [288, 1], [1, 288] 2025-09-07T10:39:09.8017772Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:09.8018054Z mm 0.0103 ms 100.0% 2025-09-07T10:39:09.8018694Z triton_mm_266 0.0103 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:09.8019777Z triton_mm_260 0.0105 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.8020963Z triton_mm_263 0.0107 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:09.8022018Z triton_mm_256 0.0108 ms 94.7% 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 2025-09-07T10:39:09.8023168Z triton_mm_259 0.0108 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:09.8024225Z triton_mm_265 0.0110 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.8025269Z triton_mm_252 0.0111 ms 92.2% 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 2025-09-07T10:39:09.8026309Z triton_mm_258 0.0111 ms 92.2% 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 2025-09-07T10:39:09.8027365Z triton_mm_262 0.0114 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:09.8028300Z SingleProcess AUTOTUNE benchmarking takes 0.2169 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:39:09.9629632Z Autotune Choices Stats: 2025-09-07T10:39:09.9631998Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.02332800067961216, "best_triton_pos": 1, "best_triton_time": 0.06380800157785416, "best_triton_kernel": "triton_convolution2d_328", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:09.9639319Z AUTOTUNE convolution(8x288x35x35, 384x288x3x3) 2025-09-07T10:39:09.9639679Z strides: [352800, 1, 10080, 288], [2592, 1, 864, 288] 2025-09-07T10:39:09.9640566Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:09.9640888Z convolution 0.0233 ms 100.0% 2025-09-07T10:39:09.9641672Z triton_convolution2d_328 0.0638 ms 36.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:09.9642990Z triton_convolution2d_327 0.0774 ms 30.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:09.9644288Z triton_convolution2d_330 0.0800 ms 29.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:09.9645581Z triton_convolution2d_329 0.0817 ms 28.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:09.9646876Z triton_convolution2d_325 0.1024 ms 22.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:09.9648163Z triton_convolution2d_324 0.1143 ms 20.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:09.9649452Z triton_convolution2d_326 0.2217 ms 10.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:09.9650625Z SingleProcess AUTOTUNE benchmarking takes 0.1563 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:10.0710613Z Autotune Choices Stats: 2025-09-07T10:39:10.0712217Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013824000023305416, "best_triton_pos": 1, "best_triton_time": 0.023231999948620796, "best_triton_kernel": "triton_convolution2d_361", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:39:10.0720885Z AUTOTUNE convolution(8x96x35x35, 96x96x3x3) 2025-09-07T10:39:10.0721241Z strides: [117600, 1, 3360, 96], [864, 1, 288, 96] 2025-09-07T10:39:10.0721572Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:10.0721879Z convolution 0.0138 ms 100.0% 2025-09-07T10:39:10.0722725Z triton_convolution2d_361 0.0232 ms 59.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.0724157Z triton_convolution2d_360 0.0234 ms 59.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.0725574Z triton_convolution2d_359 0.0283 ms 48.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.0727267Z triton_convolution2d_362 0.0298 ms 46.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.0728673Z triton_convolution2d_356 0.0339 ms 40.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.0730416Z triton_convolution2d_357 0.0390 ms 35.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.0731862Z triton_convolution2d_358 0.0794 ms 17.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:10.0732983Z SingleProcess AUTOTUNE benchmarking takes 0.1050 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:10.3192827Z Autotune Choices Stats: 2025-09-07T10:39:10.3193905Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_371", "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": 0.009472000412642956, "best_triton_pos": 0} 2025-09-07T10:39:10.3205612Z AUTOTUNE mm(2312x768, 768x192) 2025-09-07T10:39:10.3205878Z strides: [768, 1], [1, 768] 2025-09-07T10:39:10.3206141Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:10.3206819Z triton_mm_371 0.0095 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:10.3207472Z mm 0.0097 ms 97.4% 2025-09-07T10:39:10.3208083Z triton_mm_375 0.0108 ms 87.3% 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 2025-09-07T10:39:10.3209100Z triton_mm_370 0.0116 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:10.3210108Z triton_mm_367 0.0117 ms 80.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:10.3215078Z triton_mm_374 0.0121 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:10.3216115Z triton_mm_366 0.0123 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:10.3217160Z triton_mm_364 0.0128 ms 74.2% 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 2025-09-07T10:39:10.3218179Z triton_mm_373 0.0131 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:10.3219184Z triton_mm_365 0.0134 ms 70.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:10.3220068Z SingleProcess AUTOTUNE benchmarking takes 0.2470 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:10.5691617Z Autotune Choices Stats: 2025-09-07T10:39:10.5692826Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_390", "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": 0.009375999681651592, "best_triton_pos": 0} 2025-09-07T10:39:10.5702529Z AUTOTUNE mm(2312x768, 768x128) 2025-09-07T10:39:10.5702879Z strides: [768, 1], [1, 768] 2025-09-07T10:39:10.5703132Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:10.5703751Z triton_mm_390 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 2025-09-07T10:39:10.5704996Z triton_mm_394 0.0105 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:39:10.5705955Z triton_mm_389 0.0115 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:10.5706941Z triton_mm_400 0.0117 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:10.5708009Z triton_mm_393 0.0119 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:10.5709080Z triton_mm_399 0.0128 ms 73.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:10.5710141Z triton_mm_392 0.0131 ms 71.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:10.5711459Z triton_mm_396 0.0131 ms 71.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:10.5712524Z triton_mm_386 0.0136 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:10.5713583Z triton_mm_391 0.0154 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 2025-09-07T10:39:10.5714507Z SingleProcess AUTOTUNE benchmarking takes 0.2491 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:10.6740554Z Autotune Choices Stats: 2025-09-07T10:39:10.6741942Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.012608000077307224, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_convolution2d_405", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:10.6752202Z AUTOTUNE convolution(8x128x17x17, 128x128x1x7) 2025-09-07T10:39:10.6752519Z strides: [36992, 1, 2176, 128], [896, 1, 896, 128] 2025-09-07T10:39:10.6752884Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:10.6753158Z convolution 0.0126 ms 100.0% 2025-09-07T10:39:10.6753921Z triton_convolution2d_405 0.0236 ms 53.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.6755173Z triton_convolution2d_406 0.0249 ms 50.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.6756421Z triton_convolution2d_404 0.0287 ms 43.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.6757907Z triton_convolution2d_407 0.0292 ms 43.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.6759129Z triton_convolution2d_401 0.0339 ms 37.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.6760640Z triton_convolution2d_402 0.0362 ms 34.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.6761908Z triton_convolution2d_403 0.0727 ms 17.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:10.6762907Z SingleProcess AUTOTUNE benchmarking takes 0.1044 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:10.7797838Z Autotune Choices Stats: 2025-09-07T10:39:10.7800045Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.012736000120639801, "best_triton_pos": 1, "best_triton_time": 0.02396799996495247, "best_triton_kernel": "triton_convolution2d_412", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:10.7809541Z AUTOTUNE convolution(8x128x17x17, 192x128x7x1) 2025-09-07T10:39:10.7809866Z strides: [36992, 1, 2176, 128], [896, 1, 128, 128] 2025-09-07T10:39:10.7810160Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:10.7810550Z convolution 0.0127 ms 100.0% 2025-09-07T10:39:10.7811291Z triton_convolution2d_412 0.0240 ms 53.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.7812552Z triton_convolution2d_411 0.0284 ms 44.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.7813794Z triton_convolution2d_413 0.0291 ms 43.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.7815016Z triton_convolution2d_414 0.0297 ms 42.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.7816254Z triton_convolution2d_409 0.0355 ms 35.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.7817475Z triton_convolution2d_408 0.0364 ms 35.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.7818622Z triton_convolution2d_410 0.0707 ms 18.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:10.7819530Z SingleProcess AUTOTUNE benchmarking takes 0.1041 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:10.8849840Z Autotune Choices Stats: 2025-09-07T10:39:10.8851394Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.012575999833643436, "best_triton_pos": 1, "best_triton_time": 0.023584000766277313, "best_triton_kernel": "triton_convolution2d_438", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:10.8861186Z AUTOTUNE convolution(8x128x17x17, 128x128x7x1) 2025-09-07T10:39:10.8861603Z strides: [36992, 1, 2176, 128], [896, 1, 128, 128] 2025-09-07T10:39:10.8861902Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:10.8862150Z convolution 0.0126 ms 100.0% 2025-09-07T10:39:10.8863211Z triton_convolution2d_438 0.0236 ms 53.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.8864400Z triton_convolution2d_439 0.0246 ms 51.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.8865557Z triton_convolution2d_437 0.0281 ms 44.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.8866748Z triton_convolution2d_440 0.0285 ms 44.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.8868104Z triton_convolution2d_434 0.0324 ms 38.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.8869473Z triton_convolution2d_435 0.0353 ms 35.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.8870966Z triton_convolution2d_436 0.0721 ms 17.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:10.8872034Z SingleProcess AUTOTUNE benchmarking takes 0.1033 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:10.9940110Z Autotune Choices Stats: 2025-09-07T10:39:10.9942619Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013728000223636627, "best_triton_pos": 1, "best_triton_time": 0.023903999477624893, "best_triton_kernel": "triton_convolution2d_459", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:10.9951622Z AUTOTUNE convolution(8x128x17x17, 192x128x1x7) 2025-09-07T10:39:10.9951970Z strides: [36992, 1, 2176, 128], [896, 1, 896, 128] 2025-09-07T10:39:10.9952348Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:10.9952629Z convolution 0.0137 ms 100.0% 2025-09-07T10:39:10.9953377Z triton_convolution2d_459 0.0239 ms 57.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.9954625Z triton_convolution2d_458 0.0294 ms 46.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.9955861Z triton_convolution2d_460 0.0298 ms 46.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.9957091Z triton_convolution2d_461 0.0298 ms 46.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:10.9958571Z triton_convolution2d_456 0.0366 ms 37.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.9959920Z triton_convolution2d_455 0.0373 ms 36.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:10.9961306Z triton_convolution2d_457 0.0713 ms 19.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:10.9962277Z SingleProcess AUTOTUNE benchmarking takes 0.1050 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:11.2295301Z Autotune Choices Stats: 2025-09-07T10:39:11.2297314Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009600000455975533, "best_triton_pos": 1, "best_triton_time": 0.009631999768316746, "best_triton_kernel": "triton_mm_508", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:39:11.2306539Z AUTOTUNE mm(2312x768, 768x160) 2025-09-07T10:39:11.2306876Z strides: [768, 1], [1, 768] 2025-09-07T10:39:11.2307189Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:11.2307468Z mm 0.0096 ms 100.0% 2025-09-07T10:39:11.2308120Z triton_mm_508 0.0096 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:11.2309203Z triton_mm_512 0.0107 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 2025-09-07T10:39:11.2313387Z triton_mm_507 0.0117 ms 82.2% 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 2025-09-07T10:39:11.2314448Z triton_mm_504 0.0117 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:11.2315520Z triton_mm_518 0.0119 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:11.2316578Z triton_mm_511 0.0122 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:11.2317635Z triton_mm_503 0.0124 ms 77.3% 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 2025-09-07T10:39:11.2318684Z triton_mm_501 0.0126 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.2319729Z triton_mm_510 0.0130 ms 73.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:11.2320767Z SingleProcess AUTOTUNE benchmarking takes 0.2331 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:11.3457573Z Autotune Choices Stats: 2025-09-07T10:39:11.3459749Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.0144640002399683, "best_triton_pos": 1, "best_triton_time": 0.028991999104619026, "best_triton_kernel": "triton_convolution2d_523", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:11.3470514Z AUTOTUNE convolution(8x160x17x17, 160x160x1x7) 2025-09-07T10:39:11.3472849Z strides: [46240, 1, 2720, 160], [1120, 1, 1120, 160] 2025-09-07T10:39:11.3473189Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:11.3473476Z convolution 0.0145 ms 100.0% 2025-09-07T10:39:11.3474500Z triton_convolution2d_523 0.0290 ms 49.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.3475857Z triton_convolution2d_525 0.0349 ms 41.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.3477210Z triton_convolution2d_524 0.0358 ms 40.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.3478561Z triton_convolution2d_522 0.0364 ms 39.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.3479916Z triton_convolution2d_520 0.0450 ms 32.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.3481392Z triton_convolution2d_519 0.0465 ms 31.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.3482726Z triton_convolution2d_521 0.0894 ms 16.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:11.3483792Z SingleProcess AUTOTUNE benchmarking takes 0.1149 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:11.4578464Z Autotune Choices Stats: 2025-09-07T10:39:11.4581161Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.015200000256299973, "best_triton_pos": 1, "best_triton_time": 0.028543999418616295, "best_triton_kernel": "triton_convolution2d_530", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:11.4590344Z AUTOTUNE convolution(8x160x17x17, 192x160x7x1) 2025-09-07T10:39:11.4590698Z strides: [46240, 1, 2720, 160], [1120, 1, 160, 160] 2025-09-07T10:39:11.4591032Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:11.4591314Z convolution 0.0152 ms 100.0% 2025-09-07T10:39:11.4592113Z triton_convolution2d_530 0.0285 ms 53.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.4593452Z triton_convolution2d_532 0.0342 ms 44.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.4594799Z triton_convolution2d_529 0.0347 ms 43.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.4596146Z triton_convolution2d_531 0.0352 ms 43.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.4597694Z triton_convolution2d_527 0.0431 ms 35.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.4599034Z triton_convolution2d_526 0.0476 ms 31.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.4600643Z triton_convolution2d_528 0.0856 ms 17.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:11.4601703Z SingleProcess AUTOTUNE benchmarking takes 0.1104 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:11.5709281Z Autotune Choices Stats: 2025-09-07T10:39:11.5711025Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01539199985563755, "best_triton_pos": 1, "best_triton_time": 0.028575999662280083, "best_triton_kernel": "triton_convolution2d_556", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:11.5721871Z AUTOTUNE convolution(8x160x17x17, 160x160x7x1) 2025-09-07T10:39:11.5722227Z strides: [46240, 1, 2720, 160], [1120, 1, 160, 160] 2025-09-07T10:39:11.5722557Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:11.5722853Z convolution 0.0154 ms 100.0% 2025-09-07T10:39:11.5723645Z triton_convolution2d_556 0.0286 ms 53.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.5725008Z triton_convolution2d_557 0.0345 ms 44.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.5726351Z triton_convolution2d_558 0.0348 ms 44.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.5727693Z triton_convolution2d_555 0.0359 ms 42.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.5729028Z triton_convolution2d_553 0.0427 ms 36.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.5730491Z triton_convolution2d_552 0.0459 ms 33.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.5731844Z triton_convolution2d_554 0.0877 ms 17.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:11.5732905Z SingleProcess AUTOTUNE benchmarking takes 0.1104 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:11.6864600Z Autotune Choices Stats: 2025-09-07T10:39:11.6866829Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.02956799976527691, "best_triton_kernel": "triton_convolution2d_577", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:11.6876567Z AUTOTUNE convolution(8x160x17x17, 192x160x1x7) 2025-09-07T10:39:11.6876912Z strides: [46240, 1, 2720, 160], [1120, 1, 1120, 160] 2025-09-07T10:39:11.6877243Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:11.6877528Z convolution 0.0143 ms 100.0% 2025-09-07T10:39:11.6878274Z triton_convolution2d_577 0.0296 ms 48.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.6879765Z triton_convolution2d_576 0.0353 ms 40.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.6881181Z triton_convolution2d_578 0.0359 ms 40.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.6882441Z triton_convolution2d_579 0.0376 ms 38.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.6883689Z triton_convolution2d_574 0.0453 ms 31.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.6884937Z triton_convolution2d_573 0.0480 ms 29.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.6886176Z triton_convolution2d_575 0.0883 ms 16.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:11.6887165Z SingleProcess AUTOTUNE benchmarking takes 0.1113 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:11.8189463Z Autotune Choices Stats: 2025-09-07T10:39:11.8191219Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.015039999969303608, "best_triton_pos": 1, "best_triton_time": 0.033984001725912094, "best_triton_kernel": "triton_convolution2d_759", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:11.8202815Z AUTOTUNE convolution(8x192x17x17, 192x192x1x7) 2025-09-07T10:39:11.8203134Z strides: [55488, 1, 3264, 192], [1344, 1, 1344, 192] 2025-09-07T10:39:11.8203430Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:11.8203686Z convolution 0.0150 ms 100.0% 2025-09-07T10:39:11.8204434Z triton_convolution2d_759 0.0340 ms 44.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.8205681Z triton_convolution2d_758 0.0414 ms 36.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.8206921Z triton_convolution2d_760 0.0424 ms 35.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.8208156Z triton_convolution2d_761 0.0434 ms 34.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.8209387Z triton_convolution2d_756 0.0524 ms 28.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.8210966Z triton_convolution2d_755 0.0548 ms 27.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.8212327Z triton_convolution2d_757 0.1061 ms 14.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=7, PADDING_H=0, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:11.8213307Z SingleProcess AUTOTUNE benchmarking takes 0.1174 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:11.9367294Z Autotune Choices Stats: 2025-09-07T10:39:11.9369501Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.014783999882638454, "best_triton_pos": 1, "best_triton_time": 0.03296000137925148, "best_triton_kernel": "triton_convolution2d_766", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:11.9379917Z AUTOTUNE convolution(8x192x17x17, 192x192x7x1) 2025-09-07T10:39:11.9380349Z strides: [55488, 1, 3264, 192], [1344, 1, 192, 192] 2025-09-07T10:39:11.9380655Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:11.9380937Z convolution 0.0148 ms 100.0% 2025-09-07T10:39:11.9381679Z triton_convolution2d_766 0.0330 ms 44.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.9382985Z triton_convolution2d_768 0.0402 ms 36.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.9384246Z triton_convolution2d_765 0.0404 ms 36.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.9385484Z triton_convolution2d_767 0.0421 ms 35.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:11.9386719Z triton_convolution2d_763 0.0518 ms 28.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.9388050Z triton_convolution2d_762 0.0534 ms 27.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:11.9389395Z triton_convolution2d_764 0.1038 ms 14.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=1, PADDING_H=3, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:11.9390564Z SingleProcess AUTOTUNE benchmarking takes 0.1162 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:12.0741947Z Autotune Choices Stats: 2025-09-07T10:39:12.0744268Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.012799999676644802, "best_triton_pos": 1, "best_triton_time": 0.04483199864625931, "best_triton_kernel": "triton_convolution2d_858", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:12.0754970Z AUTOTUNE convolution(8x192x17x17, 320x192x3x3) 2025-09-07T10:39:12.0755540Z strides: [55488, 1, 3264, 192], [1728, 1, 576, 192] 2025-09-07T10:39:12.0755862Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:12.0756156Z convolution 0.0128 ms 100.0% 2025-09-07T10:39:12.0756942Z triton_convolution2d_858 0.0448 ms 28.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.0758413Z triton_convolution2d_857 0.0540 ms 23.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.0759667Z triton_convolution2d_860 0.0546 ms 23.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.0761196Z triton_convolution2d_859 0.0549 ms 23.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.0762426Z triton_convolution2d_855 0.0772 ms 16.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.0763654Z triton_convolution2d_854 0.0796 ms 16.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.0764894Z triton_convolution2d_856 0.1218 ms 10.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:12.0765871Z SingleProcess AUTOTUNE benchmarking takes 0.1286 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:12.2071674Z Autotune Choices Stats: 2025-09-07T10:39:12.2073137Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.012640000320971012, "best_triton_pos": 1, "best_triton_time": 0.04294399917125702, "best_triton_kernel": "triton_convolution2d_898", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:12.2085492Z AUTOTUNE convolution(8x192x17x17, 192x192x3x3) 2025-09-07T10:39:12.2085841Z strides: [55488, 1, 3264, 192], [1728, 1, 576, 192] 2025-09-07T10:39:12.2086158Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:12.2086444Z convolution 0.0126 ms 100.0% 2025-09-07T10:39:12.2087226Z triton_convolution2d_898 0.0429 ms 29.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.2088519Z triton_convolution2d_897 0.0533 ms 23.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.2089765Z triton_convolution2d_899 0.0542 ms 23.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.2091286Z triton_convolution2d_900 0.0544 ms 23.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.2092529Z triton_convolution2d_894 0.0749 ms 16.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.2093948Z triton_convolution2d_895 0.0768 ms 16.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.2095186Z triton_convolution2d_896 0.1211 ms 10.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:12.2096307Z SingleProcess AUTOTUNE benchmarking takes 0.1279 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:12.4454451Z Autotune Choices Stats: 2025-09-07T10:39:12.4455748Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009119999594986439, "best_triton_pos": 1, "best_triton_time": 0.009184000082314014, "best_triton_kernel": "triton_mm_905", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:39:12.4466885Z AUTOTUNE mm(512x1280, 1280x320) 2025-09-07T10:39:12.4467180Z strides: [1280, 1], [1, 1280] 2025-09-07T10:39:12.4467451Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:12.4467739Z mm 0.0091 ms 100.0% 2025-09-07T10:39:12.4468376Z triton_mm_905 0.0092 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:12.4469469Z triton_mm_909 0.0096 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:12.4470705Z triton_mm_913 0.0112 ms 81.7% 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 2025-09-07T10:39:12.4471768Z triton_mm_904 0.0129 ms 70.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:12.4472813Z triton_mm_919 0.0135 ms 67.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:12.4473864Z triton_mm_908 0.0135 ms 67.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:12.4474911Z triton_mm_903 0.0137 ms 66.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:12.4475954Z triton_mm_912 0.0141 ms 64.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:12.4477003Z triton_mm_902 0.0143 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.4477910Z SingleProcess AUTOTUNE benchmarking takes 0.2365 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:39:12.6817037Z Autotune Choices Stats: 2025-09-07T10:39:12.6818460Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_924", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.010015999898314476, "best_triton_pos": 0} 2025-09-07T10:39:12.6829241Z AUTOTUNE mm(512x1280, 1280x384) 2025-09-07T10:39:12.6829579Z strides: [1280, 1], [1, 1280] 2025-09-07T10:39:12.6829916Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:12.6830925Z triton_mm_924 0.0100 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:12.6832361Z mm 0.0102 ms 98.1% 2025-09-07T10:39:12.6833174Z triton_mm_928 0.0106 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:12.6834527Z triton_mm_932 0.0114 ms 88.2% 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 2025-09-07T10:39:12.6836122Z triton_mm_923 0.0137 ms 73.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:12.6837447Z triton_mm_927 0.0140 ms 71.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:12.6838787Z triton_mm_938 0.0140 ms 71.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:12.6840091Z triton_mm_922 0.0141 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:12.6841564Z triton_mm_921 0.0146 ms 68.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.6842911Z triton_mm_931 0.0148 ms 67.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:12.6844087Z SingleProcess AUTOTUNE benchmarking takes 0.2347 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:12.7932304Z Autotune Choices Stats: 2025-09-07T10:39:12.7933949Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.012160000391304493, "best_triton_pos": 1, "best_triton_time": 0.029632000252604485, "best_triton_kernel": "triton_convolution2d_943", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=3, PADDING_H=0, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:12.7946160Z AUTOTUNE convolution(8x384x8x8, 384x384x1x3) 2025-09-07T10:39:12.7946482Z strides: [24576, 1, 3072, 384], [1152, 1, 1152, 384] 2025-09-07T10:39:12.7946784Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:12.7947066Z convolution 0.0122 ms 100.0% 2025-09-07T10:39:12.7947875Z triton_convolution2d_943 0.0296 ms 41.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=3, PADDING_H=0, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.7949243Z triton_convolution2d_942 0.0366 ms 33.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=3, PADDING_H=0, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.7950887Z triton_convolution2d_945 0.0380 ms 32.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=3, PADDING_H=0, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.7952234Z triton_convolution2d_944 0.0388 ms 31.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=3, PADDING_H=0, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.7953571Z triton_convolution2d_940 0.0519 ms 23.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=3, PADDING_H=0, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.7954908Z triton_convolution2d_939 0.0556 ms 21.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=3, PADDING_H=0, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.7956516Z triton_convolution2d_941 0.0702 ms 17.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=3, PADDING_H=0, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:12.7957585Z SingleProcess AUTOTUNE benchmarking takes 0.1112 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:12.9047845Z Autotune Choices Stats: 2025-09-07T10:39:12.9049491Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.011807999573647976, "best_triton_pos": 1, "best_triton_time": 0.02924799919128418, "best_triton_kernel": "triton_convolution2d_950", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=1, PADDING_H=1, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:12.9061828Z AUTOTUNE convolution(8x384x8x8, 384x384x3x1) 2025-09-07T10:39:12.9062141Z strides: [24576, 1, 3072, 384], [1152, 1, 384, 384] 2025-09-07T10:39:12.9062442Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:12.9062707Z convolution 0.0118 ms 100.0% 2025-09-07T10:39:12.9063531Z triton_convolution2d_950 0.0292 ms 40.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=1, PADDING_H=1, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.9064786Z triton_convolution2d_949 0.0373 ms 31.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=1, PADDING_H=1, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.9066035Z triton_convolution2d_952 0.0373 ms 31.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=1, PADDING_H=1, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.9067284Z triton_convolution2d_951 0.0389 ms 30.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=1, PADDING_H=1, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:12.9068616Z triton_convolution2d_947 0.0520 ms 22.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=1, PADDING_H=1, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.9069949Z triton_convolution2d_946 0.0525 ms 22.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=1, PADDING_H=1, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:12.9071399Z triton_convolution2d_948 0.0677 ms 17.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=1, PADDING_H=1, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:12.9072452Z SingleProcess AUTOTUNE benchmarking takes 0.1099 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:13.1436121Z Autotune Choices Stats: 2025-09-07T10:39:13.1437139Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_957", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.009727999567985535, "best_triton_pos": 0} 2025-09-07T10:39:13.1451164Z AUTOTUNE mm(512x1280, 1280x448) 2025-09-07T10:39:13.1451402Z strides: [1280, 1], [1, 1280] 2025-09-07T10:39:13.1451725Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:13.1452342Z triton_mm_957 0.0097 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:13.1453321Z mm 0.0103 ms 94.1% 2025-09-07T10:39:13.1453851Z triton_mm_961 0.0106 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:13.1454782Z triton_mm_965 0.0117 ms 83.1% 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 2025-09-07T10:39:13.1455900Z triton_mm_971 0.0137 ms 71.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:13.1456831Z triton_mm_956 0.0140 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:13.1457732Z triton_mm_960 0.0141 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:13.1458632Z triton_mm_955 0.0143 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:13.1459534Z triton_mm_964 0.0146 ms 66.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:13.1460698Z triton_mm_954 0.0150 ms 65.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:13.1461500Z SingleProcess AUTOTUNE benchmarking takes 0.2373 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:13.3317108Z Autotune Choices Stats: 2025-09-07T10:39:13.3319316Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.016448000445961952, "best_triton_pos": 1, "best_triton_time": 0.09728000313043594, "best_triton_kernel": "triton_convolution2d_976", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:39:13.3332613Z AUTOTUNE convolution(8x448x8x8, 384x448x3x3) 2025-09-07T10:39:13.3332956Z strides: [28672, 1, 3584, 448], [4032, 1, 1344, 448] 2025-09-07T10:39:13.3333277Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:13.3333560Z convolution 0.0164 ms 100.0% 2025-09-07T10:39:13.3334361Z triton_convolution2d_976 0.0973 ms 16.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:13.3335723Z triton_convolution2d_975 0.1173 ms 14.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:13.3337074Z triton_convolution2d_977 0.1212 ms 13.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:13.3338386Z triton_convolution2d_978 0.1261 ms 13.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:39:13.3339613Z triton_convolution2d_973 0.1739 ms 9.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:13.3340958Z triton_convolution2d_972 0.1812 ms 9.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:39:13.3342418Z triton_convolution2d_974 0.2213 ms 7.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:39:13.3343483Z SingleProcess AUTOTUNE benchmarking takes 0.1876 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:39:13.5721393Z Autotune Choices Stats: 2025-09-07T10:39:13.5723322Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_997", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.009088000282645226, "best_triton_pos": 0} 2025-09-07T10:39:13.5735971Z AUTOTUNE mm(512x1280, 1280x192) 2025-09-07T10:39:13.5736212Z strides: [1280, 1], [1, 1280] 2025-09-07T10:39:13.5736443Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:13.5737044Z triton_mm_997 0.0091 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:13.5737633Z mm 0.0092 ms 99.3% 2025-09-07T10:39:13.5738173Z triton_mm_1001 0.0098 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:13.5739090Z triton_mm_1005 0.0108 ms 83.8% 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 2025-09-07T10:39:13.5739993Z triton_mm_996 0.0125 ms 72.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:13.5741031Z triton_mm_1000 0.0133 ms 68.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:13.5741923Z triton_mm_995 0.0134 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:13.5742916Z triton_mm_1011 0.0134 ms 67.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:13.5743836Z triton_mm_1004 0.0138 ms 66.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:13.5744744Z triton_mm_994 0.0139 ms 65.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:13.5745532Z SingleProcess AUTOTUNE benchmarking takes 0.2354 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:13.8165761Z Autotune Choices Stats: 2025-09-07T10:39:13.8167679Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01056000031530857, "best_triton_pos": 1, "best_triton_time": 0.011071999557316303, "best_triton_kernel": "triton_mm_1016", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:39:13.8181127Z AUTOTUNE mm(512x2048, 2048x320) 2025-09-07T10:39:13.8181359Z strides: [2048, 1], [1, 2048] 2025-09-07T10:39:13.8181594Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:13.8181829Z mm 0.0106 ms 100.0% 2025-09-07T10:39:13.8182376Z triton_mm_1016 0.0111 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:13.8183403Z triton_mm_1020 0.0122 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:13.8184544Z triton_mm_1024 0.0138 ms 76.4% 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 2025-09-07T10:39:13.8185475Z triton_mm_1030 0.0177 ms 59.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:13.8186506Z triton_mm_1015 0.0180 ms 58.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:13.8187424Z triton_mm_1014 0.0181 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:13.8188489Z triton_mm_1013 0.0189 ms 55.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:13.8189552Z triton_mm_1019 0.0191 ms 55.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:13.8190848Z triton_mm_1023 0.0192 ms 55.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:13.8191786Z SingleProcess AUTOTUNE benchmarking takes 0.2440 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:14.0610856Z Autotune Choices Stats: 2025-09-07T10:39:14.0612176Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011008000001311302, "best_triton_pos": 1, "best_triton_time": 0.011136000044643879, "best_triton_kernel": "triton_mm_1035", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:39:14.0627029Z AUTOTUNE mm(512x2048, 2048x384) 2025-09-07T10:39:14.0627298Z strides: [2048, 1], [1, 2048] 2025-09-07T10:39:14.0627633Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:14.0627894Z mm 0.0110 ms 100.0% 2025-09-07T10:39:14.0628485Z triton_mm_1035 0.0111 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:14.0629490Z triton_mm_1039 0.0128 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:14.0630611Z triton_mm_1043 0.0140 ms 78.9% 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 2025-09-07T10:39:14.0631616Z triton_mm_1049 0.0175 ms 63.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:14.0632589Z triton_mm_1034 0.0183 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:14.0633572Z triton_mm_1033 0.0187 ms 58.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:14.0634558Z triton_mm_1032 0.0191 ms 57.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:14.0635524Z triton_mm_1038 0.0192 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 2025-09-07T10:39:14.0636871Z triton_mm_1042 0.0202 ms 54.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:14.0637727Z SingleProcess AUTOTUNE benchmarking takes 0.2429 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:14.3086199Z Autotune Choices Stats: 2025-09-07T10:39:14.3087915Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011359999887645245, "best_triton_pos": 1, "best_triton_time": 0.011680000461637974, "best_triton_kernel": "triton_mm_1068", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:39:14.3102606Z AUTOTUNE mm(512x2048, 2048x448) 2025-09-07T10:39:14.3102969Z strides: [2048, 1], [1, 2048] 2025-09-07T10:39:14.3103294Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:14.3103573Z mm 0.0114 ms 100.0% 2025-09-07T10:39:14.3104164Z triton_mm_1068 0.0117 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:14.3105159Z triton_mm_1072 0.0128 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:14.3106158Z triton_mm_1076 0.0139 ms 81.8% 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 2025-09-07T10:39:14.3107161Z triton_mm_1082 0.0177 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:14.3108150Z triton_mm_1067 0.0182 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:14.3109128Z triton_mm_1066 0.0188 ms 60.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:14.3110111Z triton_mm_1075 0.0195 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:14.3111432Z triton_mm_1071 0.0196 ms 57.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:14.3112403Z triton_mm_1065 0.0196 ms 57.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:14.3113261Z SingleProcess AUTOTUNE benchmarking takes 0.2425 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:14.5584467Z Autotune Choices Stats: 2025-09-07T10:39:14.5585745Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010111999697983265, "best_triton_pos": 1, "best_triton_time": 0.010975999757647514, "best_triton_kernel": "triton_mm_1108", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:39:14.5601553Z AUTOTUNE mm(512x2048, 2048x192) 2025-09-07T10:39:14.5601963Z strides: [2048, 1], [1, 2048] 2025-09-07T10:39:14.5602250Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:14.5602528Z mm 0.0101 ms 100.0% 2025-09-07T10:39:14.5603173Z triton_mm_1108 0.0110 ms 92.1% 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 2025-09-07T10:39:14.5604237Z triton_mm_1112 0.0121 ms 83.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:14.5605986Z triton_mm_1116 0.0135 ms 74.7% 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 2025-09-07T10:39:14.5607047Z triton_mm_1107 0.0175 ms 57.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:14.5608379Z triton_mm_1122 0.0175 ms 57.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:14.5609284Z triton_mm_1106 0.0179 ms 56.4% 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 2025-09-07T10:39:14.5610181Z triton_mm_1111 0.0187 ms 54.2% 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 2025-09-07T10:39:14.5611227Z triton_mm_1105 0.0188 ms 53.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:14.5612134Z triton_mm_1115 0.0189 ms 53.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:14.8101360Z SingleProcess AUTOTUNE benchmarking takes 0.2432 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:39:14.8101922Z Autotune Choices Stats: 2025-09-07T10:39:14.8102962Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1127", "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": 0.010784000158309937, "best_triton_pos": 0} 2025-09-07T10:39:14.8117805Z AUTOTUNE addmm(8x1000, 8x2048, 2048x1000) 2025-09-07T10:39:14.8118096Z strides: [0, 1], [2048, 1], [1, 2048] 2025-09-07T10:39:14.8118391Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:39:14.8119065Z triton_mm_1127 0.0108 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:39:14.8119672Z bias_addmm 0.0110 ms 97.7% 2025-09-07T10:39:14.8120348Z triton_mm_1131 0.0114 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:14.8121288Z triton_mm_1135 0.0137 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:39:14.8121876Z addmm 0.0145 ms 74.2% 2025-09-07T10:39:14.8122422Z triton_mm_1139 0.0151 ms 71.5% 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 2025-09-07T10:39:14.8123323Z triton_mm_1126 0.0171 ms 63.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:39:14.8124217Z triton_mm_1125 0.0180 ms 59.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:14.8125105Z triton_mm_1130 0.0183 ms 58.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:14.8125998Z triton_mm_1124 0.0189 ms 57.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:39:14.8127274Z SingleProcess AUTOTUNE benchmarking takes 0.2501 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:39:52.9958588Z Autotune Choices Stats: 2025-09-07T10:39:52.9959853Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1163", "best_kernel_desc": "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", "best_time": 0.007104000076651573, "best_triton_pos": 0} 2025-09-07T10:39:52.9977133Z AUTOTUNE mm(1000x8, 8x2048) 2025-09-07T10:39:52.9977392Z strides: [1, 1000], [2048, 1] 2025-09-07T10:39:52.9977630Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:52.9978239Z triton_mm_1163 0.0071 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:39:52.9979252Z triton_mm_1164 0.0071 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:52.9980450Z triton_mm_1162 0.0072 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:39:52.9981447Z triton_mm_1167 0.0073 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=4 2025-09-07T10:39:52.9982412Z triton_mm_1166 0.0073 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:39:52.9983479Z triton_mm_1165 0.0074 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:52.9984457Z triton_mm_1169 0.0074 ms 96.5% 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=4, num_warps=8 2025-09-07T10:39:52.9985413Z triton_mm_1168 0.0075 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:52.9986380Z triton_mm_1170 0.0075 ms 95.3% 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 2025-09-07T10:39:52.9987350Z triton_mm_1161 0.0075 ms 94.9% 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 2025-09-07T10:39:52.9988195Z SingleProcess AUTOTUNE benchmarking takes 0.1594 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:39:53.7088073Z Autotune Choices Stats: 2025-09-07T10:39:53.7089997Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.009696000255644321, "best_triton_pos": 1, "best_triton_time": 0.010367999784648418, "best_triton_kernel": "triton_mm_1148", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:39:53.7105658Z AUTOTUNE mm(8x1000, 1000x2048) 2025-09-07T10:39:53.7105898Z strides: [1000, 1], [2048, 1] 2025-09-07T10:39:53.7106161Z dtypes: torch.float16, torch.float16 2025-09-07T10:39:53.7106404Z mm 0.0097 ms 100.0% 2025-09-07T10:39:53.7106970Z triton_mm_1148 0.0104 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:53.7107897Z triton_mm_1144 0.0107 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:39:53.7109215Z triton_mm_1152 0.0107 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:39:53.7110373Z triton_mm_1142 0.0119 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:39:53.7111605Z triton_mm_1156 0.0119 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:39:53.7112594Z triton_mm_1143 0.0123 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:39:53.7113570Z triton_mm_1147 0.0125 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:53.7114542Z triton_mm_1154 0.0133 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:39:53.7115521Z triton_mm_1151 0.0135 ms 72.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:39:53.7116381Z SingleProcess AUTOTUNE benchmarking takes 0.1827 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:40:16.4305429Z pass 2025-09-07T10:40:23.3339145Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:40:23.3340892Z import pynvml # type: ignore[import] 2025-09-07T10:40:26.4185684Z 2025-09-07T10:40:29.0102304Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:40:29.0103020Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:40:29.0103479Z cuda train beit_base_patch16_224 2025-09-07T10:40:45.6028506Z Autotune Choices Stats: 2025-09-07T10:40:45.6030843Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.018912000581622124, "best_triton_pos": 1, "best_triton_time": 0.023840000852942467, "best_triton_kernel": "triton_mm_62", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:40:45.6048084Z AUTOTUNE addmm(1576x3072, 1576x768, 768x3072) 2025-09-07T10:40:45.6048365Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:40:45.6048649Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:40:45.6048975Z bias_addmm 0.0189 ms 100.0% 2025-09-07T10:40:45.6049553Z triton_mm_62 0.0238 ms 79.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:45.6050607Z triton_mm_56 0.0249 ms 75.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:45.6051521Z triton_mm_63 0.0277 ms 68.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:40:45.6052420Z triton_mm_55 0.0281 ms 67.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:40:45.6053312Z triton_mm_61 0.0284 ms 66.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:45.6054325Z addmm 0.0284 ms 66.5% 2025-09-07T10:40:45.6054862Z triton_mm_58 0.0305 ms 62.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:45.6055751Z triton_mm_57 0.0305 ms 61.9% 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 2025-09-07T10:40:45.6056880Z triton_mm_59 0.0315 ms 60.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:40:45.6057670Z SingleProcess AUTOTUNE benchmarking takes 0.3005 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:40:48.9395055Z Autotune Choices Stats: 2025-09-07T10:40:48.9396858Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.12943999469280243, "best_triton_pos": 1, "best_triton_time": 0.13395200669765472, "best_triton_kernel": "triton_convolution2d_6", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:40:48.9413367Z AUTOTUNE convolution(8x3x224x224, 768x3x16x16) 2025-09-07T10:40:48.9413844Z strides: [150528, 50176, 224, 1], [768, 256, 16, 1] 2025-09-07T10:40:48.9414157Z dtypes: torch.float16, torch.float16 2025-09-07T10:40:48.9414457Z convolution 0.1294 ms 100.0% 2025-09-07T10:40:48.9415519Z triton_convolution2d_6 0.1340 ms 96.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:40:48.9417727Z triton_convolution2d_3 0.1470 ms 88.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:40:48.9419690Z triton_convolution2d_1 0.1485 ms 87.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:40:48.9422438Z triton_convolution2d_4 0.1740 ms 74.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:40:48.9424586Z triton_convolution2d_5 0.1968 ms 65.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:40:48.9426349Z triton_convolution2d_0 0.2185 ms 59.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:40:48.9427521Z triton_convolution2d_2 0.4088 ms 31.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:40:48.9428428Z SingleProcess AUTOTUNE benchmarking takes 0.2154 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:40:49.2193319Z Autotune Choices Stats: 2025-09-07T10:40:49.2195592Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.015904000028967857, "best_triton_pos": 1, "best_triton_time": 0.017535999417304993, "best_triton_kernel": "triton_mm_24", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:40:49.2212616Z AUTOTUNE addmm(1576x2304, 1576x768, 768x2304) 2025-09-07T10:40:49.2212959Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:40:49.2213283Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:40:49.2213621Z bias_addmm 0.0159 ms 100.0% 2025-09-07T10:40:49.2214298Z triton_mm_24 0.0175 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:49.2215939Z triton_mm_23 0.0203 ms 78.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:49.2216992Z triton_mm_25 0.0207 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:40:49.2218002Z triton_mm_18 0.0212 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:49.2218638Z addmm 0.0228 ms 69.6% 2025-09-07T10:40:49.2219237Z triton_mm_16 0.0230 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:49.2220638Z triton_mm_20 0.0240 ms 66.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:49.2221646Z triton_mm_14 0.0244 ms 65.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:40:49.2222623Z triton_mm_17 0.0245 ms 64.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:40:49.2223605Z SingleProcess AUTOTUNE benchmarking takes 0.2790 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:40:49.4837746Z Autotune Choices Stats: 2025-09-07T10:40:49.4839019Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.010847999714314938, "best_triton_pos": 1, "best_triton_time": 0.012703999876976013, "best_triton_kernel": "triton_mm_44", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:40:49.4858246Z AUTOTUNE addmm(1576x768, 1576x768, 768x768) 2025-09-07T10:40:49.4858545Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:40:49.4858843Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:40:49.4859154Z bias_addmm 0.0108 ms 100.0% 2025-09-07T10:40:49.4859745Z triton_mm_44 0.0127 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 2025-09-07T10:40:49.4860860Z triton_mm_37 0.0132 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:49.4861770Z triton_mm_33 0.0132 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:40:49.4862681Z triton_mm_43 0.0138 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:49.4863689Z triton_mm_36 0.0144 ms 75.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:40:49.4864591Z triton_mm_40 0.0145 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:40:49.4865809Z triton_mm_38 0.0152 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 2025-09-07T10:40:49.4866379Z addmm 0.0153 ms 70.9% 2025-09-07T10:40:49.4866909Z triton_mm_34 0.0165 ms 65.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:40:49.4867881Z SingleProcess AUTOTUNE benchmarking takes 0.2637 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:40:49.7958275Z Autotune Choices Stats: 2025-09-07T10:40:49.7959519Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.01913600042462349, "best_triton_pos": 2, "best_triton_time": 0.024768000468611717, "best_triton_kernel": "triton_mm_82", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:40:49.7980071Z AUTOTUNE addmm(1576x768, 1576x3072, 3072x768) 2025-09-07T10:40:49.7980924Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T10:40:49.7981436Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:40:49.7981954Z bias_addmm 0.0191 ms 100.0% 2025-09-07T10:40:49.7982349Z addmm 0.0239 ms 80.1% 2025-09-07T10:40:49.7983528Z triton_mm_82 0.0248 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=5, num_warps=8 2025-09-07T10:40:49.7985191Z triton_mm_75 0.0305 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 2025-09-07T10:40:49.7986520Z triton_mm_71 0.0313 ms 61.2% 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 2025-09-07T10:40:49.7987421Z triton_mm_76 0.0317 ms 60.4% 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 2025-09-07T10:40:49.7988331Z triton_mm_81 0.0322 ms 59.4% 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 2025-09-07T10:40:49.7989231Z triton_mm_72 0.0347 ms 55.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:40:49.7990122Z triton_mm_74 0.0367 ms 52.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:40:49.7991149Z triton_mm_78 0.0371 ms 51.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:40:49.7991945Z SingleProcess AUTOTUNE benchmarking takes 0.3109 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:40:50.0841195Z Autotune Choices Stats: 2025-09-07T10:40:50.0842181Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_923", "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": 0.008448000065982342, "best_triton_pos": 0} 2025-09-07T10:40:50.0863194Z AUTOTUNE addmm(8x1000, 8x768, 768x1000) 2025-09-07T10:40:50.0863498Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:40:50.0863816Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:40:50.0864545Z triton_mm_923 0.0084 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:40:50.0865967Z triton_mm_927 0.0090 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:40:50.0866590Z bias_addmm 0.0092 ms 92.3% 2025-09-07T10:40:50.0867178Z triton_mm_931 0.0098 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:40:50.0868347Z triton_mm_935 0.0102 ms 82.5% 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 2025-09-07T10:40:50.0869350Z triton_mm_922 0.0105 ms 80.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:40:50.0870652Z triton_mm_921 0.0108 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:40:50.0871667Z triton_mm_926 0.0110 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:50.0872627Z triton_mm_920 0.0115 ms 73.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:40:50.0873591Z triton_mm_930 0.0119 ms 71.2% 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 2025-09-07T10:40:50.0874438Z SingleProcess AUTOTUNE benchmarking takes 0.2504 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:41:01.5729615Z Autotune Choices Stats: 2025-09-07T10:41:01.5732880Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.018144000321626663, "best_triton_pos": 1, "best_triton_time": 0.020031999796628952, "best_triton_kernel": "triton_mm_985", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:41:01.5751216Z AUTOTUNE mm(1576x768, 768x3072) 2025-09-07T10:41:01.5751499Z strides: [768, 1], [3072, 1] 2025-09-07T10:41:01.5751756Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:01.5752032Z mm 0.0181 ms 100.0% 2025-09-07T10:41:01.5752651Z triton_mm_985 0.0200 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:01.5753649Z triton_mm_978 0.0215 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:01.5754622Z triton_mm_986 0.0220 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:01.5755597Z triton_mm_980 0.0232 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:01.5756563Z triton_mm_979 0.0239 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:01.5757537Z triton_mm_987 0.0251 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:01.5758518Z triton_mm_982 0.0272 ms 66.8% 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 2025-09-07T10:41:01.5760026Z triton_mm_983 0.0279 ms 64.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:01.5761181Z triton_mm_981 0.0284 ms 64.0% 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 2025-09-07T10:41:01.5762038Z SingleProcess AUTOTUNE benchmarking takes 0.2544 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:41:02.3252821Z Autotune Choices Stats: 2025-09-07T10:41:02.3254656Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.017472000792622566, "best_triton_pos": 1, "best_triton_time": 0.023423999547958374, "best_triton_kernel": "triton_mm_999", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:41:02.3274563Z AUTOTUNE mm(768x1576, 1576x3072) 2025-09-07T10:41:02.3274873Z strides: [1, 768], [3072, 1] 2025-09-07T10:41:02.3275167Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:02.3275455Z mm 0.0175 ms 100.0% 2025-09-07T10:41:02.3276101Z triton_mm_999 0.0234 ms 74.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:02.3277203Z triton_mm_1005 0.0246 ms 71.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:02.3278278Z triton_mm_997 0.0273 ms 63.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:02.3279327Z triton_mm_998 0.0281 ms 62.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:02.3280465Z triton_mm_1004 0.0281 ms 62.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:02.3281453Z triton_mm_1001 0.0292 ms 59.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:02.3282442Z triton_mm_1000 0.0296 ms 59.0% 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 2025-09-07T10:41:02.3283428Z triton_mm_1002 0.0298 ms 58.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:02.3284411Z triton_mm_1006 0.0298 ms 58.6% 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 2025-09-07T10:41:02.3285276Z SingleProcess AUTOTUNE benchmarking takes 0.2528 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:41:02.7697974Z Autotune Choices Stats: 2025-09-07T10:41:02.7699269Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.017311999574303627, "best_triton_pos": 1, "best_triton_time": 0.024000000208616257, "best_triton_kernel": "triton_mm_1037", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:41:02.7721765Z AUTOTUNE mm(3072x1576, 1576x768) 2025-09-07T10:41:02.7722089Z strides: [1, 3072], [768, 1] 2025-09-07T10:41:02.7722366Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:02.7722649Z mm 0.0173 ms 100.0% 2025-09-07T10:41:02.7723350Z triton_mm_1037 0.0240 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:02.7725082Z triton_mm_1043 0.0249 ms 69.6% 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 2025-09-07T10:41:02.7726159Z triton_mm_1035 0.0272 ms 63.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:02.7727473Z triton_mm_1042 0.0277 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:02.7728574Z triton_mm_1036 0.0285 ms 60.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:02.7729693Z triton_mm_1039 0.0285 ms 60.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:02.7730893Z triton_mm_1040 0.0298 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:02.7731879Z triton_mm_1038 0.0299 ms 57.9% 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 2025-09-07T10:41:02.7732872Z triton_mm_1044 0.0300 ms 57.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:02.7733733Z SingleProcess AUTOTUNE benchmarking takes 0.2530 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:41:03.2505724Z Autotune Choices Stats: 2025-09-07T10:41:03.2515183Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.016256000846624374, "best_triton_pos": 1, "best_triton_time": 0.018015999346971512, "best_triton_kernel": "triton_mm_1120", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:41:03.2528512Z AUTOTUNE mm(2304x1576, 1576x768) 2025-09-07T10:41:03.2528759Z strides: [1, 2304], [768, 1] 2025-09-07T10:41:03.2528989Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:03.2529247Z mm 0.0163 ms 100.0% 2025-09-07T10:41:03.2529845Z triton_mm_1120 0.0180 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:03.2530937Z triton_mm_1113 0.0199 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:03.2531880Z triton_mm_1119 0.0207 ms 78.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:03.2532788Z triton_mm_1112 0.0217 ms 74.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:03.2533705Z triton_mm_1114 0.0222 ms 73.3% 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 2025-09-07T10:41:03.2534639Z triton_mm_1116 0.0224 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:03.2535546Z triton_mm_1109 0.0243 ms 67.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:41:03.2536770Z triton_mm_1111 0.0253 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:03.2537685Z triton_mm_1118 0.0261 ms 62.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:03.2538483Z SingleProcess AUTOTUNE benchmarking takes 0.2387 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:41:03.6950068Z Autotune Choices Stats: 2025-09-07T10:41:03.6951558Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_963", "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=4", "best_time": 0.006496000103652477, "best_triton_pos": 0} 2025-09-07T10:41:03.6974498Z AUTOTUNE mm(1000x8, 8x768) 2025-09-07T10:41:03.6974752Z strides: [1, 1000], [768, 1] 2025-09-07T10:41:03.6975025Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:03.6975721Z triton_mm_963 0.0065 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:41:03.6976771Z triton_mm_960 0.0065 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:03.6977802Z triton_mm_961 0.0065 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:03.6978858Z triton_mm_962 0.0065 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:03.6979942Z triton_mm_958 0.0066 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:41:03.6981052Z triton_mm_959 0.0066 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:41:03.6982028Z triton_mm_964 0.0066 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:03.6983102Z triton_mm_955 0.0066 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:03.6984080Z triton_mm_957 0.0066 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:03.6985073Z triton_mm_965 0.0066 ms 98.5% 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=4, num_warps=8 2025-09-07T10:41:03.6985940Z SingleProcess AUTOTUNE benchmarking takes 0.1574 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:41:04.1063318Z Autotune Choices Stats: 2025-09-07T10:41:04.1064624Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01142400037497282, "best_triton_pos": 1, "best_triton_time": 0.013535999692976475, "best_triton_kernel": "triton_mm_1076", "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"} 2025-09-07T10:41:04.1090609Z AUTOTUNE mm(768x1576, 1576x768) 2025-09-07T10:41:04.1090951Z strides: [1, 768], [768, 1] 2025-09-07T10:41:04.1091223Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:04.1092001Z mm 0.0114 ms 100.0% 2025-09-07T10:41:04.1092628Z triton_mm_1076 0.0135 ms 84.4% 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 2025-09-07T10:41:04.1093654Z triton_mm_1082 0.0164 ms 69.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:04.1094928Z triton_mm_1072 0.0164 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:04.1095922Z triton_mm_1075 0.0172 ms 66.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:04.1096889Z triton_mm_1071 0.0173 ms 66.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:41:04.1097855Z triton_mm_1074 0.0188 ms 60.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:04.1098812Z triton_mm_1081 0.0192 ms 59.6% 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 2025-09-07T10:41:04.1099938Z triton_mm_1078 0.0192 ms 59.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:04.1101083Z triton_mm_1068 0.0223 ms 51.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:04.1101946Z SingleProcess AUTOTUNE benchmarking takes 0.2248 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:41:05.7327533Z Autotune Choices Stats: 2025-09-07T10:41:05.7329606Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.008832000195980072, "best_triton_pos": 1, "best_triton_time": 0.009344000369310379, "best_triton_kernel": "triton_mm_940", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-07T10:41:05.7350009Z AUTOTUNE mm(8x1000, 1000x768) 2025-09-07T10:41:05.7350472Z strides: [1000, 1], [768, 1] 2025-09-07T10:41:05.7350752Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:05.7351038Z mm 0.0088 ms 100.0% 2025-09-07T10:41:05.7351684Z triton_mm_940 0.0093 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:41:05.7352755Z triton_mm_944 0.0098 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:05.7353846Z triton_mm_948 0.0100 ms 88.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:41:05.7354930Z triton_mm_952 0.0113 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:05.7355999Z triton_mm_938 0.0113 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:05.7357047Z triton_mm_939 0.0113 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:41:05.7358501Z triton_mm_943 0.0122 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:05.7359560Z triton_mm_947 0.0128 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:05.7360703Z triton_mm_950 0.0128 ms 69.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:41:05.7361736Z SingleProcess AUTOTUNE benchmarking takes 0.1843 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:41:06.0050869Z Autotune Choices Stats: 2025-09-07T10:41:06.0052866Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.018079999834299088, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_1025", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:41:06.0072300Z AUTOTUNE mm(1576x3072, 3072x768) 2025-09-07T10:41:06.0072601Z strides: [3072, 1], [768, 1] 2025-09-07T10:41:06.0072854Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:06.0073131Z mm 0.0181 ms 100.0% 2025-09-07T10:41:06.0073756Z triton_mm_1025 0.0246 ms 73.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:06.0074784Z triton_mm_1018 0.0289 ms 62.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:06.0075769Z triton_mm_1019 0.0295 ms 61.3% 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 2025-09-07T10:41:06.0076763Z triton_mm_1014 0.0303 ms 59.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:41:06.0077734Z triton_mm_1024 0.0305 ms 59.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:06.0078717Z triton_mm_1015 0.0314 ms 57.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:06.0079693Z triton_mm_1017 0.0340 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:06.0080821Z triton_mm_1021 0.0345 ms 52.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:06.0081808Z triton_mm_1016 0.0427 ms 42.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:06.0082663Z SingleProcess AUTOTUNE benchmarking takes 0.2707 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:41:06.2092297Z Autotune Choices Stats: 2025-09-07T10:41:06.2094255Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010048000141978264, "best_triton_pos": 1, "best_triton_time": 0.011744000017642975, "best_triton_kernel": "triton_mm_1063", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:41:06.2114513Z AUTOTUNE mm(1576x768, 768x768) 2025-09-07T10:41:06.2114899Z strides: [768, 1], [768, 1] 2025-09-07T10:41:06.2115500Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:06.2115777Z mm 0.0100 ms 100.0% 2025-09-07T10:41:06.2116370Z triton_mm_1063 0.0117 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:06.2117360Z triton_mm_1056 0.0123 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:06.2118501Z triton_mm_1062 0.0125 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:06.2119485Z triton_mm_1052 0.0126 ms 79.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:41:06.2122818Z triton_mm_1055 0.0130 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 2025-09-07T10:41:06.2123876Z triton_mm_1059 0.0134 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:06.2124866Z triton_mm_1057 0.0138 ms 72.9% 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 2025-09-07T10:41:06.2125856Z triton_mm_1054 0.0149 ms 67.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:06.2126821Z triton_mm_1053 0.0156 ms 64.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:06.2127674Z SingleProcess AUTOTUNE benchmarking takes 0.2033 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:41:06.4604581Z Autotune Choices Stats: 2025-09-07T10:41:06.4606583Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.015359999611973763, "best_triton_pos": 1, "best_triton_time": 0.02038400061428547, "best_triton_kernel": "triton_mm_1101", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:41:06.4634826Z AUTOTUNE mm(1576x2304, 2304x768) 2025-09-07T10:41:06.4635135Z strides: [2304, 1], [768, 1] 2025-09-07T10:41:06.4635500Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:06.4635787Z mm 0.0154 ms 100.0% 2025-09-07T10:41:06.4636443Z triton_mm_1101 0.0204 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=5, num_warps=8 2025-09-07T10:41:06.4637524Z triton_mm_1094 0.0229 ms 67.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:06.4638589Z triton_mm_1095 0.0240 ms 64.0% 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 2025-09-07T10:41:06.4639644Z triton_mm_1090 0.0242 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:41:06.4640832Z triton_mm_1100 0.0244 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:06.4641804Z triton_mm_1091 0.0262 ms 58.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:06.4643032Z triton_mm_1093 0.0268 ms 57.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:06.4643995Z triton_mm_1097 0.0271 ms 56.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:06.4645147Z triton_mm_1092 0.0329 ms 46.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:06.4646004Z SingleProcess AUTOTUNE benchmarking takes 0.2509 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:41:10.7253696Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 442, in torch_dynamo_resume_in_forward_and_backward_pass_at_440 2025-09-07T10:41:10.7254791Z pred = mod(*cloned_inputs) 2025-09-07T10:41:10.7255289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 520, in forward 2025-09-07T10:41:10.7255782Z x = self.forward_features(x) 2025-09-07T10:41:10.7256303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 508, in forward_features 2025-09-07T10:41:10.7256849Z x = blk(x, shared_rel_pos_bias=rel_pos_bias) 2025-09-07T10:41:10.7257346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 247, in forward 2025-09-07T10:41:10.7257996Z x = x + self.drop_path1(self.gamma_1 * self.attn(self.norm1(x), shared_rel_pos_bias=shared_rel_pos_bias)) 2025-09-07T10:41:10.7258635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 155, in forward 2025-09-07T10:41:10.7259127Z rel_pos_bias = self._get_rel_pos_bias() 2025-09-07T10:41:10.7259663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/beit.py", line 130, in _get_rel_pos_bias 2025-09-07T10:41:10.7260626Z relative_position_bias = self.relative_position_bias_table[ 2025-09-07T10:41:10.7260916Z 2025-09-07T10:41:10.7260920Z 2025-09-07T10:41:11.4142221Z W0907 10:41:11.413000 39385 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:41:38.0932413Z pass 2025-09-07T10:41:43.6268204Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:41:43.6269437Z import pynvml # type: ignore[import] 2025-09-07T10:41:46.6269764Z 2025-09-07T10:41:48.2297229Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:41:48.2297637Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:41:48.2297937Z cuda train botnet26t_256 2025-09-07T10:42:11.6184497Z Autotune Choices Stats: 2025-09-07T10:42:11.6186012Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.017055999487638474, "best_triton_pos": 1, "best_triton_time": 0.026528000831604004, "best_triton_kernel": "triton_convolution2d_2", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8"} 2025-09-07T10:42:11.6210825Z AUTOTUNE convolution(8x3x256x256, 24x3x3x3) 2025-09-07T10:42:11.6211187Z strides: [196608, 1, 768, 3], [27, 1, 9, 3] 2025-09-07T10:42:11.6211481Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:11.6211779Z convolution 0.0171 ms 100.0% 2025-09-07T10:42:11.6212548Z triton_convolution2d_2 0.0265 ms 64.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:42:11.6214442Z triton_convolution2d_4 0.0289 ms 59.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:11.6215647Z triton_convolution2d_0 0.0334 ms 51.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:11.6217109Z triton_convolution2d_3 0.0363 ms 47.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:11.6218356Z triton_convolution2d_5 0.0413 ms 41.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:11.6219714Z triton_convolution2d_1 0.0423 ms 40.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:11.6220902Z SingleProcess AUTOTUNE benchmarking takes 0.5402 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:42:11.7264037Z Autotune Choices Stats: 2025-09-07T10:42:11.7265439Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.025087999179959297, "best_triton_pos": 1, "best_triton_time": 0.02908799983561039, "best_triton_kernel": "triton_convolution2d_9", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:42:11.7287979Z AUTOTUNE convolution(8x24x128x128, 32x24x3x3) 2025-09-07T10:42:11.7288301Z strides: [393216, 1, 3072, 24], [216, 1, 72, 24] 2025-09-07T10:42:11.7288572Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:11.7288888Z convolution 0.0251 ms 100.0% 2025-09-07T10:42:11.7289674Z triton_convolution2d_9 0.0291 ms 86.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:11.7291327Z triton_convolution2d_12 0.0302 ms 83.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:11.7292540Z triton_convolution2d_11 0.0323 ms 77.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:11.7293742Z triton_convolution2d_7 0.0333 ms 75.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:11.7294925Z triton_convolution2d_6 0.0352 ms 71.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:11.7296121Z triton_convolution2d_8 0.0417 ms 60.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:42:11.7297309Z triton_convolution2d_10 0.0607 ms 41.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:11.7298255Z SingleProcess AUTOTUNE benchmarking takes 0.1067 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:42:11.8392670Z Autotune Choices Stats: 2025-09-07T10:42:11.8394061Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.02675200067460537, "best_triton_pos": 1, "best_triton_time": 0.027904000133275986, "best_triton_kernel": "triton_convolution2d_16", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:42:11.8417965Z AUTOTUNE convolution(8x32x128x128, 64x32x3x3) 2025-09-07T10:42:11.8418298Z strides: [524288, 1, 4096, 32], [288, 1, 96, 32] 2025-09-07T10:42:11.8418564Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:11.8418860Z convolution 0.0268 ms 100.0% 2025-09-07T10:42:11.8419633Z triton_convolution2d_16 0.0279 ms 95.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:11.8421284Z triton_convolution2d_19 0.0282 ms 94.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:11.8422482Z triton_convolution2d_17 0.0316 ms 84.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:11.8423777Z triton_convolution2d_18 0.0342 ms 78.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:11.8425007Z triton_convolution2d_14 0.0391 ms 68.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:11.8426211Z triton_convolution2d_13 0.0577 ms 46.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:11.8427408Z triton_convolution2d_15 0.0816 ms 32.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:42:11.8428390Z SingleProcess AUTOTUNE benchmarking takes 0.1120 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:42:12.0565234Z Autotune Choices Stats: 2025-09-07T10:42:12.0566329Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_37", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.00902399979531765, "best_triton_pos": 0} 2025-09-07T10:42:12.0589439Z AUTOTUNE mm(32768x64, 64x64) 2025-09-07T10:42:12.0589693Z strides: [64, 1], [1, 64] 2025-09-07T10:42:12.0589952Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:12.0590978Z triton_mm_37 0.0090 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:12.0591988Z triton_mm_32 0.0091 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:12.0592951Z triton_mm_28 0.0091 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:12.0593920Z triton_mm_31 0.0092 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 2025-09-07T10:42:12.0595372Z triton_mm_30 0.0092 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:12.0596326Z triton_mm_26 0.0092 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:12.0597500Z triton_mm_36 0.0092 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.0598470Z triton_mm_29 0.0093 ms 97.2% 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 2025-09-07T10:42:12.0599414Z triton_mm_33 0.0093 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.0600468Z triton_mm_27 0.0093 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:12.0601256Z SingleProcess AUTOTUNE benchmarking takes 0.2162 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:42:12.1583266Z Autotune Choices Stats: 2025-09-07T10:42:12.1584372Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_43", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.01897599920630455, "best_triton_pos": 0} 2025-09-07T10:42:12.1607893Z AUTOTUNE convolution(8x64x64x64, 64x64x3x3) 2025-09-07T10:42:12.1608175Z strides: [262144, 1, 4096, 64], [576, 1, 192, 64] 2025-09-07T10:42:12.1608460Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:12.1609284Z triton_convolution2d_43 0.0190 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:12.1610883Z triton_convolution2d_42 0.0190 ms 99.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:12.1611620Z convolution 0.0192 ms 98.8% 2025-09-07T10:42:12.1612344Z triton_convolution2d_41 0.0196 ms 97.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:12.1613542Z triton_convolution2d_44 0.0250 ms 76.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:12.1614752Z triton_convolution2d_39 0.0319 ms 59.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:12.1615934Z triton_convolution2d_38 0.0319 ms 59.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:12.1617123Z triton_convolution2d_40 0.0532 ms 35.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:42:12.1618073Z SingleProcess AUTOTUNE benchmarking takes 0.1013 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:42:12.3850786Z Autotune Choices Stats: 2025-09-07T10:42:12.3852448Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013279999606311321, "best_triton_pos": 1, "best_triton_time": 0.013952000066637993, "best_triton_kernel": "triton_mm_53", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:42:12.3875017Z AUTOTUNE mm(32768x64, 64x256) 2025-09-07T10:42:12.3875290Z strides: [64, 1], [1, 64] 2025-09-07T10:42:12.3875530Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:12.3875785Z mm 0.0133 ms 100.0% 2025-09-07T10:42:12.3876592Z triton_mm_53 0.0140 ms 95.2% 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=5, num_warps=4 2025-09-07T10:42:12.3877580Z triton_mm_54 0.0143 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.3878559Z triton_mm_56 0.0143 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.3879530Z triton_mm_57 0.0144 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:12.3880661Z triton_mm_58 0.0145 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.3881635Z triton_mm_61 0.0145 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.3882591Z triton_mm_51 0.0147 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:12.3883557Z triton_mm_55 0.0148 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:12.3884515Z triton_mm_59 0.0148 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:12.3885356Z SingleProcess AUTOTUNE benchmarking takes 0.2263 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:12.6008182Z Autotune Choices Stats: 2025-09-07T10:42:12.6009291Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_99", "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": 0.014944000169634819, "best_triton_pos": 0} 2025-09-07T10:42:12.6032924Z AUTOTUNE mm(32768x256, 256x64) 2025-09-07T10:42:12.6033180Z strides: [256, 1], [1, 256] 2025-09-07T10:42:12.6033432Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:12.6034101Z triton_mm_99 0.0149 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.6035085Z triton_mm_94 0.0150 ms 99.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.6036053Z triton_mm_90 0.0155 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:12.6036652Z mm 0.0158 ms 94.5% 2025-09-07T10:42:12.6037212Z triton_mm_97 0.0166 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:12.6038575Z triton_mm_100 0.0167 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:12.6039551Z triton_mm_92 0.0169 ms 88.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.6040649Z triton_mm_93 0.0170 ms 88.1% 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 2025-09-07T10:42:12.6041834Z triton_mm_96 0.0172 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.6042793Z triton_mm_89 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 2025-09-07T10:42:12.6043646Z SingleProcess AUTOTUNE benchmarking takes 0.2135 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:42:12.8337072Z Autotune Choices Stats: 2025-09-07T10:42:12.8338050Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_144", "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": 0.016224000602960587, "best_triton_pos": 0} 2025-09-07T10:42:12.8364713Z AUTOTUNE mm(32768x256, 256x128) 2025-09-07T10:42:12.8365030Z strides: [256, 1], [1, 256] 2025-09-07T10:42:12.8365309Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:12.8366080Z triton_mm_144 0.0162 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.8366826Z mm 0.0166 ms 97.9% 2025-09-07T10:42:12.8367506Z triton_mm_138 0.0172 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.8368638Z triton_mm_143 0.0179 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.8369730Z triton_mm_136 0.0185 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.8371072Z triton_mm_140 0.0186 ms 87.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:12.8372037Z triton_mm_137 0.0187 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:12.8373005Z triton_mm_145 0.0187 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:12.8373965Z triton_mm_133 0.0190 ms 85.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:12.8374915Z triton_mm_134 0.0190 ms 85.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:12.8375755Z SingleProcess AUTOTUNE benchmarking takes 0.2303 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:12.9500184Z Autotune Choices Stats: 2025-09-07T10:42:12.9501747Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01724799908697605, "best_triton_pos": 1, "best_triton_time": 0.03251200169324875, "best_triton_kernel": "triton_convolution2d_150", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:42:12.9525523Z AUTOTUNE convolution(8x128x64x64, 128x128x3x3) 2025-09-07T10:42:12.9525882Z strides: [524288, 1, 8192, 128], [1152, 1, 384, 128] 2025-09-07T10:42:12.9526212Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:12.9526524Z convolution 0.0172 ms 100.0% 2025-09-07T10:42:12.9527594Z triton_convolution2d_150 0.0325 ms 53.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:12.9529056Z triton_convolution2d_151 0.0372 ms 46.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:12.9530490Z triton_convolution2d_149 0.0394 ms 43.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:12.9531752Z triton_convolution2d_152 0.0408 ms 42.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:12.9532993Z triton_convolution2d_146 0.0474 ms 36.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:12.9534229Z triton_convolution2d_147 0.0550 ms 31.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:12.9535475Z triton_convolution2d_148 0.1023 ms 16.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:42:12.9536461Z SingleProcess AUTOTUNE benchmarking takes 0.1159 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:42:13.1759233Z Autotune Choices Stats: 2025-09-07T10:42:13.1761048Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_162", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.010816000401973724, "best_triton_pos": 0} 2025-09-07T10:42:13.1784407Z AUTOTUNE mm(8192x128, 128x512) 2025-09-07T10:42:13.1784709Z strides: [128, 1], [1, 128] 2025-09-07T10:42:13.1784996Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:13.1785763Z triton_mm_162 0.0108 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.1786946Z triton_mm_169 0.0109 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.1788066Z triton_mm_170 0.0109 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.1789259Z triton_mm_166 0.0110 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.1790400Z triton_mm_159 0.0112 ms 96.8% 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 2025-09-07T10:42:13.1791928Z triton_mm_165 0.0113 ms 95.5% 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 2025-09-07T10:42:13.1792555Z mm 0.0115 ms 94.4% 2025-09-07T10:42:13.1793127Z triton_mm_167 0.0115 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:13.1794305Z triton_mm_163 0.0116 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:13.1795291Z triton_mm_168 0.0116 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:42:13.1796138Z SingleProcess AUTOTUNE benchmarking takes 0.2249 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:13.2755374Z Autotune Choices Stats: 2025-09-07T10:42:13.2756478Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_176", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.014976000413298607, "best_triton_pos": 0} 2025-09-07T10:42:13.2781657Z AUTOTUNE convolution(8x256x64x64, 512x256x1x1) 2025-09-07T10:42:13.2782004Z strides: [1048576, 1, 16384, 256], [256, 1, 256, 256] 2025-09-07T10:42:13.2782334Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:13.2783217Z triton_convolution2d_176 0.0150 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:42:13.2784454Z triton_convolution2d_175 0.0155 ms 96.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:42:13.2785692Z triton_convolution2d_177 0.0158 ms 94.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:42:13.2786895Z triton_convolution2d_178 0.0164 ms 91.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:42:13.2787636Z convolution 0.0176 ms 85.1% 2025-09-07T10:42:13.2788346Z triton_convolution2d_172 0.0189 ms 79.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:42:13.2789733Z triton_convolution2d_173 0.0200 ms 74.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:42:13.2791367Z triton_convolution2d_174 0.0518 ms 28.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:42:13.2792341Z SingleProcess AUTOTUNE benchmarking takes 0.0992 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:42:13.5005699Z Autotune Choices Stats: 2025-09-07T10:42:13.5007117Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01142400037497282, "best_triton_pos": 1, "best_triton_time": 0.011615999974310398, "best_triton_kernel": "triton_mm_191", "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"} 2025-09-07T10:42:13.5031415Z AUTOTUNE mm(8192x512, 512x128) 2025-09-07T10:42:13.5031669Z strides: [512, 1], [1, 512] 2025-09-07T10:42:13.5031918Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:13.5032172Z mm 0.0114 ms 100.0% 2025-09-07T10:42:13.5032776Z triton_mm_191 0.0116 ms 98.3% 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 2025-09-07T10:42:13.5033753Z triton_mm_186 0.0120 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:13.5035047Z triton_mm_190 0.0124 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.5036072Z triton_mm_197 0.0125 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:13.5037053Z triton_mm_187 0.0131 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:13.5038008Z triton_mm_189 0.0133 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:13.5038976Z triton_mm_193 0.0133 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:13.5039959Z triton_mm_196 0.0135 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 2025-09-07T10:42:13.5041160Z triton_mm_192 0.0143 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.5042041Z SingleProcess AUTOTUNE benchmarking takes 0.2245 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:13.6165883Z Autotune Choices Stats: 2025-09-07T10:42:13.6167391Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.02521600015461445, "best_triton_pos": 1, "best_triton_time": 0.03033600002527237, "best_triton_kernel": "triton_convolution2d_202", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:42:13.6191906Z AUTOTUNE convolution(8x128x32x32, 128x128x3x3) 2025-09-07T10:42:13.6192240Z strides: [131072, 1, 4096, 128], [1152, 1, 384, 128] 2025-09-07T10:42:13.6192544Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:13.6192810Z convolution 0.0252 ms 100.0% 2025-09-07T10:42:13.6193558Z triton_convolution2d_202 0.0303 ms 83.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:13.6194798Z triton_convolution2d_203 0.0355 ms 71.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:13.6196034Z triton_convolution2d_204 0.0364 ms 69.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:13.6197267Z triton_convolution2d_201 0.0388 ms 65.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:13.6198498Z triton_convolution2d_198 0.0476 ms 52.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:13.6200162Z triton_convolution2d_199 0.0530 ms 47.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:13.6201951Z triton_convolution2d_200 0.0991 ms 25.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:42:13.6202946Z SingleProcess AUTOTUNE benchmarking takes 0.1151 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:42:13.8469817Z Autotune Choices Stats: 2025-09-07T10:42:13.8471297Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012415999546647072, "best_triton_pos": 1, "best_triton_time": 0.012768000364303589, "best_triton_kernel": "triton_mm_242", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:42:13.8496577Z AUTOTUNE mm(8192x512, 512x256) 2025-09-07T10:42:13.8496840Z strides: [512, 1], [1, 512] 2025-09-07T10:42:13.8497117Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:13.8497403Z mm 0.0124 ms 100.0% 2025-09-07T10:42:13.8498013Z triton_mm_242 0.0128 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:13.8499015Z triton_mm_241 0.0132 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.8500015Z triton_mm_235 0.0132 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.8501146Z triton_mm_231 0.0136 ms 91.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:13.8502106Z triton_mm_234 0.0142 ms 87.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:13.8503137Z triton_mm_238 0.0147 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:13.8504085Z triton_mm_236 0.0149 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 2025-09-07T10:42:13.8505023Z triton_mm_233 0.0151 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.8505971Z triton_mm_240 0.0154 ms 80.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:13.8506820Z SingleProcess AUTOTUNE benchmarking takes 0.2286 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:13.9988033Z Autotune Choices Stats: 2025-09-07T10:42:13.9989558Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.018303999677300453, "best_triton_pos": 1, "best_triton_time": 0.05446400120854378, "best_triton_kernel": "triton_convolution2d_247", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:42:14.0015025Z AUTOTUNE convolution(8x256x32x32, 256x256x3x3) 2025-09-07T10:42:14.0015359Z strides: [262144, 1, 8192, 256], [2304, 1, 768, 256] 2025-09-07T10:42:14.0015695Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:14.0015965Z convolution 0.0183 ms 100.0% 2025-09-07T10:42:14.0016720Z triton_convolution2d_247 0.0545 ms 33.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:14.0018280Z triton_convolution2d_246 0.0686 ms 26.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:14.0019710Z triton_convolution2d_249 0.0747 ms 24.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:14.0021097Z triton_convolution2d_248 0.0752 ms 24.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:42:14.0022342Z triton_convolution2d_243 0.1032 ms 17.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:14.0023642Z triton_convolution2d_244 0.1034 ms 17.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:42:14.0024869Z triton_convolution2d_245 0.2027 ms 9.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:42:14.0025841Z SingleProcess AUTOTUNE benchmarking takes 0.1508 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:42:14.2251938Z Autotune Choices Stats: 2025-09-07T10:42:14.2252898Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_267", "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": 0.009727999567985535, "best_triton_pos": 0} 2025-09-07T10:42:14.2279398Z AUTOTUNE mm(2048x256, 256x1024) 2025-09-07T10:42:14.2279717Z strides: [256, 1], [1, 256] 2025-09-07T10:42:14.2280024Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:14.2281073Z triton_mm_267 0.0097 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.2281699Z mm 0.0098 ms 99.3% 2025-09-07T10:42:14.2282263Z triton_mm_268 0.0098 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:14.2283208Z triton_mm_261 0.0099 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.2284140Z triton_mm_260 0.0100 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:14.2285075Z triton_mm_257 0.0101 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:14.2286012Z triton_mm_264 0.0105 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:14.2286955Z triton_mm_266 0.0105 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.2288190Z triton_mm_259 0.0106 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.2289166Z triton_mm_263 0.0107 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.2290394Z SingleProcess AUTOTUNE benchmarking takes 0.2255 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:14.3247846Z Autotune Choices Stats: 2025-09-07T10:42:14.3249189Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013791999779641628, "best_triton_pos": 1, "best_triton_time": 0.017952000722289085, "best_triton_kernel": "triton_convolution2d_273", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:42:14.3274926Z AUTOTUNE convolution(8x512x32x32, 1024x512x1x1) 2025-09-07T10:42:14.3275253Z strides: [524288, 1, 16384, 512], [512, 1, 512, 512] 2025-09-07T10:42:14.3275551Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:14.3275815Z convolution 0.0138 ms 100.0% 2025-09-07T10:42:14.3276556Z triton_convolution2d_273 0.0180 ms 76.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:42:14.3277803Z triton_convolution2d_272 0.0199 ms 69.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:42:14.3279032Z triton_convolution2d_274 0.0208 ms 66.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:42:14.3280463Z triton_convolution2d_275 0.0212 ms 65.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:42:14.3281624Z triton_convolution2d_269 0.0271 ms 50.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:42:14.3282756Z triton_convolution2d_270 0.0274 ms 50.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:42:14.3283886Z triton_convolution2d_271 0.0504 ms 27.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:42:14.3284797Z SingleProcess AUTOTUNE benchmarking takes 0.0990 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:42:14.5538651Z Autotune Choices Stats: 2025-09-07T10:42:14.5539920Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010111999697983265, "best_triton_pos": 1, "best_triton_time": 0.01033599954098463, "best_triton_kernel": "triton_mm_284", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:42:14.5566407Z AUTOTUNE mm(2048x1024, 1024x256) 2025-09-07T10:42:14.5566640Z strides: [1024, 1], [1, 1024] 2025-09-07T10:42:14.5566895Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:14.5567135Z mm 0.0101 ms 100.0% 2025-09-07T10:42:14.5568023Z triton_mm_284 0.0103 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:14.5568935Z triton_mm_288 0.0112 ms 90.5% 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 2025-09-07T10:42:14.5569842Z triton_mm_280 0.0130 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:14.5571075Z triton_mm_294 0.0130 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:14.5571992Z triton_mm_283 0.0131 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:14.5572887Z triton_mm_287 0.0135 ms 74.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.5573775Z triton_mm_279 0.0141 ms 71.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:14.5574679Z triton_mm_293 0.0145 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.5575582Z triton_mm_277 0.0147 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:14.5576366Z SingleProcess AUTOTUNE benchmarking takes 0.2281 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:14.7798200Z Autotune Choices Stats: 2025-09-07T10:42:14.7799406Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.008895999751985073, "best_triton_pos": 1, "best_triton_time": 0.00940799992531538, "best_triton_kernel": "triton_mm_302", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8"} 2025-09-07T10:42:14.7826942Z AUTOTUNE mm(2048x256, 256x768) 2025-09-07T10:42:14.7827191Z strides: [256, 1], [1, 256] 2025-09-07T10:42:14.7827449Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:14.7827717Z mm 0.0089 ms 100.0% 2025-09-07T10:42:14.7828305Z triton_mm_302 0.0094 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:14.7829300Z triton_mm_306 0.0095 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.7830549Z triton_mm_313 0.0096 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=5, num_warps=8 2025-09-07T10:42:14.7831531Z triton_mm_305 0.0097 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:14.7832508Z triton_mm_312 0.0097 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.7833471Z triton_mm_309 0.0099 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:14.7834433Z triton_mm_304 0.0102 ms 87.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.7835651Z triton_mm_308 0.0102 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.7836632Z triton_mm_311 0.0104 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:14.7837626Z SingleProcess AUTOTUNE benchmarking takes 0.2250 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:15.0052055Z Autotune Choices Stats: 2025-09-07T10:42:15.0053045Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_322", "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=5, num_warps=4", "best_time": 0.008767999708652496, "best_triton_pos": 0} 2025-09-07T10:42:15.0081386Z AUTOTUNE bmm(32x256x64, 32x64x256) 2025-09-07T10:42:15.0081658Z strides: [16384, 1, 256], [16384, 256, 1] 2025-09-07T10:42:15.0081966Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:15.0082607Z triton_bmm_322 0.0088 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:15.0083590Z triton_bmm_326 0.0088 ms 99.6% 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=4, num_warps=4 2025-09-07T10:42:15.0084546Z triton_bmm_321 0.0088 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:15.0085502Z triton_bmm_320 0.0090 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:15.0086474Z triton_bmm_323 0.0090 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.0087432Z triton_bmm_330 0.0090 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.0088401Z triton_bmm_332 0.0090 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=5, num_warps=8 2025-09-07T10:42:15.0089397Z triton_bmm_331 0.0090 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.0090565Z triton_bmm_327 0.0091 ms 96.8% 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 2025-09-07T10:42:15.0091474Z triton_bmm_328 0.0091 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:15.0092271Z SingleProcess AUTOTUNE benchmarking takes 0.2244 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:15.2074242Z Autotune Choices Stats: 2025-09-07T10:42:15.2075207Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_334", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.007424000184983015, "best_triton_pos": 0} 2025-09-07T10:42:15.2105128Z AUTOTUNE mm(8192x64, 64x31) 2025-09-07T10:42:15.2105386Z strides: [64, 1], [1, 64] 2025-09-07T10:42:15.2105658Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:15.2106556Z triton_mm_334 0.0074 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:15.2107503Z triton_mm_341 0.0074 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.2108438Z triton_mm_344 0.0076 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:15.2109621Z triton_mm_339 0.0076 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:15.2110995Z triton_mm_340 0.0076 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:15.2111971Z triton_mm_349 0.0077 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:15.2112927Z triton_mm_343 0.0079 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.2113877Z triton_mm_335 0.0079 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:15.2114818Z triton_mm_337 0.0079 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:15.2115763Z triton_mm_336 0.0080 ms 93.2% 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 2025-09-07T10:42:15.2116602Z SingleProcess AUTOTUNE benchmarking takes 0.2018 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:42:15.4221407Z Autotune Choices Stats: 2025-09-07T10:42:15.4222465Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_379", "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": 0.009503999724984169, "best_triton_pos": 0} 2025-09-07T10:42:15.4251794Z AUTOTUNE bmm(32x256x256, 32x256x64) 2025-09-07T10:42:15.4252093Z strides: [65536, 256, 1], [16384, 1, 256] 2025-09-07T10:42:15.4252370Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:15.4253030Z triton_bmm_379 0.0095 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 2025-09-07T10:42:15.4254010Z triton_bmm_375 0.0096 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:15.4254961Z triton_bmm_378 0.0098 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.4255906Z triton_bmm_374 0.0099 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:15.4256853Z triton_bmm_384 0.0099 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:15.4257805Z triton_bmm_368 0.0100 ms 95.2% 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 2025-09-07T10:42:15.4258994Z triton_bmm_369 0.0101 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:15.4259661Z bmm 0.0102 ms 93.4% 2025-09-07T10:42:15.4260505Z triton_bmm_370 0.0102 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:15.4261648Z triton_bmm_377 0.0105 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:15.4262509Z SingleProcess AUTOTUNE benchmarking takes 0.2131 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:42:15.6518538Z Autotune Choices Stats: 2025-09-07T10:42:15.6519818Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.011552000418305397, "best_triton_pos": 1, "best_triton_time": 0.012128000147640705, "best_triton_kernel": "triton_mm_416", "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"} 2025-09-07T10:42:15.6548771Z AUTOTUNE mm(2048x1024, 1024x512) 2025-09-07T10:42:15.6549059Z strides: [1024, 1], [1, 1024] 2025-09-07T10:42:15.6549326Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:15.6549639Z mm 0.0116 ms 100.0% 2025-09-07T10:42:15.6550475Z triton_mm_416 0.0121 ms 95.3% 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 2025-09-07T10:42:15.6551463Z triton_mm_422 0.0138 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:15.6552456Z triton_mm_411 0.0140 ms 82.2% 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 2025-09-07T10:42:15.6553429Z triton_mm_415 0.0142 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.6554411Z triton_mm_412 0.0148 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:15.6555384Z triton_mm_421 0.0150 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.6556360Z triton_mm_414 0.0155 ms 74.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:15.6557327Z triton_mm_418 0.0156 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 2025-09-07T10:42:15.6558299Z triton_mm_413 0.0190 ms 60.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.6559143Z SingleProcess AUTOTUNE benchmarking takes 0.2282 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:15.8858205Z Autotune Choices Stats: 2025-09-07T10:42:15.8859408Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012543999589979649, "best_triton_pos": 1, "best_triton_time": 0.012927999719977379, "best_triton_kernel": "triton_mm_434", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:42:15.8888588Z AUTOTUNE mm(2048x512, 512x1536) 2025-09-07T10:42:15.8889263Z strides: [512, 1], [1, 512] 2025-09-07T10:42:15.8889523Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:15.8889794Z mm 0.0125 ms 100.0% 2025-09-07T10:42:15.8890558Z triton_mm_434 0.0129 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.8891569Z triton_mm_440 0.0135 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.8892744Z triton_mm_439 0.0149 ms 84.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.8893722Z triton_mm_436 0.0150 ms 83.8% 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 2025-09-07T10:42:15.8894678Z triton_mm_432 0.0151 ms 83.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:15.8895626Z triton_mm_433 0.0152 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:15.8896573Z triton_mm_437 0.0156 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=4, num_warps=8 2025-09-07T10:42:15.8897554Z triton_mm_441 0.0159 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:15.8898525Z triton_mm_435 0.0175 ms 71.7% 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 2025-09-07T10:42:15.8899376Z SingleProcess AUTOTUNE benchmarking takes 0.2329 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:16.1108919Z Autotune Choices Stats: 2025-09-07T10:42:16.1110047Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_451", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.009855999611318111, "best_triton_pos": 0} 2025-09-07T10:42:16.1139924Z AUTOTUNE bmm(32x256x128, 32x128x256) 2025-09-07T10:42:16.1140374Z strides: [32768, 1, 256], [32768, 256, 1] 2025-09-07T10:42:16.1140677Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:16.1141319Z triton_bmm_451 0.0099 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:16.1142293Z triton_bmm_453 0.0099 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:16.1143355Z triton_bmm_456 0.0099 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:16.1144319Z triton_bmm_455 0.0099 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:16.1145292Z triton_bmm_459 0.0099 ms 99.4% 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 2025-09-07T10:42:16.1146251Z triton_bmm_449 0.0100 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:16.1147447Z triton_bmm_452 0.0100 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:16.1148399Z triton_bmm_454 0.0100 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 2025-09-07T10:42:16.1149353Z triton_bmm_458 0.0100 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 2025-09-07T10:42:16.1150775Z triton_bmm_460 0.0101 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:16.1151667Z SingleProcess AUTOTUNE benchmarking takes 0.2240 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:16.3129693Z Autotune Choices Stats: 2025-09-07T10:42:16.3130893Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_468", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.008224000222980976, "best_triton_pos": 0} 2025-09-07T10:42:16.3162172Z AUTOTUNE mm(8192x128, 128x31) 2025-09-07T10:42:16.3162445Z strides: [128, 1], [1, 128] 2025-09-07T10:42:16.3162697Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:16.3163363Z triton_mm_468 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:16.3164331Z triton_mm_463 0.0084 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:16.3165275Z triton_mm_471 0.0084 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:16.3166224Z triton_mm_462 0.0085 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:16.3167171Z triton_mm_470 0.0087 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:16.3168114Z triton_mm_469 0.0087 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:16.3169050Z triton_mm_464 0.0088 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:16.3170111Z triton_mm_474 0.0088 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:16.3171265Z triton_mm_472 0.0089 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:16.3172233Z triton_mm_465 0.0090 ms 91.1% 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 2025-09-07T10:42:16.3173077Z SingleProcess AUTOTUNE benchmarking takes 0.2017 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:42:16.5393489Z Autotune Choices Stats: 2025-09-07T10:42:16.5394467Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_502", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:42:16.5425615Z AUTOTUNE bmm(32x256x256, 32x256x128) 2025-09-07T10:42:16.5425933Z strides: [65536, 256, 1], [32768, 1, 256] 2025-09-07T10:42:16.5426219Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:16.5426897Z triton_bmm_502 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:16.5428154Z triton_bmm_506 0.0106 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:16.5429206Z triton_bmm_507 0.0108 ms 95.2% 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 2025-09-07T10:42:16.5429871Z bmm 0.0111 ms 92.5% 2025-09-07T10:42:16.5430727Z triton_bmm_509 0.0111 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:16.5431752Z triton_bmm_505 0.0111 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:16.5432744Z triton_bmm_513 0.0112 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:16.5433736Z triton_bmm_496 0.0115 ms 89.4% 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 2025-09-07T10:42:16.5434718Z triton_bmm_508 0.0116 ms 88.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:16.5435715Z triton_bmm_512 0.0116 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 2025-09-07T10:42:16.5436577Z SingleProcess AUTOTUNE benchmarking takes 0.2248 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:16.7650030Z Autotune Choices Stats: 2025-09-07T10:42:16.7651539Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009535999968647957, "best_triton_pos": 1, "best_triton_time": 0.009664000011980534, "best_triton_kernel": "triton_mm_526", "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"} 2025-09-07T10:42:16.7681762Z AUTOTUNE mm(512x512, 512x2048) 2025-09-07T10:42:16.7682032Z strides: [512, 1], [1, 512] 2025-09-07T10:42:16.7682285Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:16.7682547Z mm 0.0095 ms 100.0% 2025-09-07T10:42:16.7683148Z triton_mm_526 0.0097 ms 98.7% 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 2025-09-07T10:42:16.7684113Z triton_mm_532 0.0105 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:16.7685064Z triton_mm_525 0.0107 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 2025-09-07T10:42:16.7686014Z triton_mm_521 0.0108 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:16.7686965Z triton_mm_531 0.0114 ms 83.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:16.7688184Z triton_mm_528 0.0116 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:16.7689128Z triton_mm_524 0.0117 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:16.7690534Z triton_mm_522 0.0122 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 2025-09-07T10:42:16.7691498Z triton_mm_523 0.0129 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:16.7692292Z SingleProcess AUTOTUNE benchmarking takes 0.2251 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:16.8753733Z Autotune Choices Stats: 2025-09-07T10:42:16.8755211Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01583999954164028, "best_triton_pos": 1, "best_triton_time": 0.028416000306606293, "best_triton_kernel": "triton_convolution2d_537", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:42:16.8785742Z AUTOTUNE convolution(8x1024x16x16, 2048x1024x1x1) 2025-09-07T10:42:16.8786124Z strides: [262144, 1, 16384, 1024], [1024, 1, 1024, 1024] 2025-09-07T10:42:16.8786466Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:16.8786761Z convolution 0.0158 ms 100.0% 2025-09-07T10:42:16.8787542Z triton_convolution2d_537 0.0284 ms 55.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:42:16.8788872Z triton_convolution2d_536 0.0332 ms 47.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:42:16.8790635Z triton_convolution2d_538 0.0336 ms 47.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:42:16.8791974Z triton_convolution2d_539 0.0339 ms 46.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:42:16.8793301Z triton_convolution2d_534 0.0468 ms 33.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:42:16.8794629Z triton_convolution2d_533 0.0469 ms 33.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:42:16.8795965Z triton_convolution2d_535 0.0724 ms 21.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:42:16.8797028Z SingleProcess AUTOTUNE benchmarking takes 0.1093 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:42:17.1189646Z Autotune Choices Stats: 2025-09-07T10:42:17.1191021Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_544", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.01152000017464161, "best_triton_pos": 0} 2025-09-07T10:42:17.1221917Z AUTOTUNE mm(512x2048, 2048x512) 2025-09-07T10:42:17.1222204Z strides: [2048, 1], [1, 2048] 2025-09-07T10:42:17.1222464Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:17.1223235Z triton_mm_544 0.0115 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:17.1223880Z mm 0.0120 ms 96.0% 2025-09-07T10:42:17.1224460Z triton_mm_548 0.0123 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:17.1225693Z triton_mm_552 0.0139 ms 82.9% 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 2025-09-07T10:42:17.1226695Z triton_mm_558 0.0180 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:17.1227656Z triton_mm_543 0.0181 ms 63.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:17.1228601Z triton_mm_542 0.0188 ms 61.4% 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 2025-09-07T10:42:17.1229540Z triton_mm_547 0.0190 ms 60.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:17.1230809Z triton_mm_551 0.0194 ms 59.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:17.1231780Z triton_mm_541 0.0201 ms 57.4% 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 2025-09-07T10:42:17.1232630Z SingleProcess AUTOTUNE benchmarking takes 0.2425 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:17.3459294Z Autotune Choices Stats: 2025-09-07T10:42:17.3460902Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.008927999995648861, "best_triton_pos": 1, "best_triton_time": 0.009472000412642956, "best_triton_kernel": "triton_mm_571", "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"} 2025-09-07T10:42:17.3495567Z AUTOTUNE mm(512x512, 512x1536) 2025-09-07T10:42:17.3495812Z strides: [512, 1], [1, 512] 2025-09-07T10:42:17.3496057Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:17.3496329Z mm 0.0089 ms 100.0% 2025-09-07T10:42:17.3496921Z triton_mm_571 0.0095 ms 94.3% 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 2025-09-07T10:42:17.3497884Z triton_mm_566 0.0102 ms 87.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:17.3498824Z triton_mm_570 0.0102 ms 87.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:17.3499787Z triton_mm_577 0.0106 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 2025-09-07T10:42:17.3500984Z triton_mm_569 0.0110 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:17.3501891Z triton_mm_573 0.0111 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:17.3503259Z triton_mm_576 0.0111 ms 80.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:17.3504170Z triton_mm_567 0.0114 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:17.3505255Z triton_mm_572 0.0124 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:17.3506048Z SingleProcess AUTOTUNE benchmarking takes 0.2268 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:17.5295096Z Autotune Choices Stats: 2025-09-07T10:42:17.5296103Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_581", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:42:17.5329904Z AUTOTUNE bmm(32x64x128, 32x128x64) 2025-09-07T10:42:17.5330198Z strides: [8192, 1, 64], [8192, 64, 1] 2025-09-07T10:42:17.5330672Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:17.5331339Z triton_bmm_581 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:17.5332313Z triton_bmm_585 0.0073 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:17.5333282Z triton_bmm_589 0.0073 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:17.5334231Z triton_bmm_580 0.0074 ms 97.4% 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 2025-09-07T10:42:17.5335171Z triton_bmm_592 0.0074 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:17.5336100Z triton_bmm_587 0.0075 ms 96.1% 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 2025-09-07T10:42:17.5337048Z triton_bmm_588 0.0076 ms 94.9% 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 2025-09-07T10:42:17.5337651Z bmm 0.0077 ms 92.6% 2025-09-07T10:42:17.5338215Z triton_bmm_579 0.0078 ms 91.4% 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 2025-09-07T10:42:17.5339168Z triton_bmm_586 0.0079 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:17.5340015Z SingleProcess AUTOTUNE benchmarking takes 0.1822 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:42:17.7209501Z Autotune Choices Stats: 2025-09-07T10:42:17.7210729Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_595", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006591999903321266, "best_triton_pos": 0} 2025-09-07T10:42:17.7244133Z AUTOTUNE mm(2048x128, 128x15) 2025-09-07T10:42:17.7244400Z strides: [128, 1], [1, 128] 2025-09-07T10:42:17.7244948Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:17.7245570Z triton_mm_595 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:42:17.7246515Z triton_mm_596 0.0069 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:17.7247665Z triton_mm_601 0.0071 ms 93.2% 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=3, num_warps=4 2025-09-07T10:42:17.7248623Z triton_mm_600 0.0071 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:17.7249558Z triton_mm_602 0.0072 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:17.7250785Z triton_mm_608 0.0074 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:17.7251688Z triton_mm_605 0.0075 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:17.7252594Z triton_mm_594 0.0076 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:42:17.7253485Z triton_mm_604 0.0076 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:17.7254376Z triton_mm_607 0.0077 ms 85.8% 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 2025-09-07T10:42:17.7255159Z SingleProcess AUTOTUNE benchmarking takes 0.1909 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:42:17.9254954Z Autotune Choices Stats: 2025-09-07T10:42:17.9255962Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_626", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006560000125318766, "best_triton_pos": 0} 2025-09-07T10:42:17.9290393Z AUTOTUNE bmm(32x64x64, 32x64x128) 2025-09-07T10:42:17.9290683Z strides: [4096, 64, 1], [8192, 1, 64] 2025-09-07T10:42:17.9299217Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:17.9299970Z triton_bmm_626 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:17.9301297Z triton_bmm_628 0.0067 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:17.9302265Z triton_bmm_627 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:17.9303343Z triton_bmm_633 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:17.9304327Z triton_bmm_632 0.0069 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:17.9305302Z triton_bmm_636 0.0070 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:17.9306549Z triton_bmm_638 0.0070 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:17.9307505Z triton_bmm_639 0.0070 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:17.9308659Z triton_bmm_641 0.0071 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:17.9309678Z triton_bmm_629 0.0071 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:17.9310674Z SingleProcess AUTOTUNE benchmarking takes 0.2030 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:42:36.6924643Z Autotune Choices Stats: 2025-09-07T10:42:36.6925704Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_713", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.00684799998998642, "best_triton_pos": 0} 2025-09-07T10:42:36.6961323Z AUTOTUNE bmm(32x64x64, 32x64x128) 2025-09-07T10:42:36.6961583Z strides: [4096, 1, 64], [128, 4096, 1] 2025-09-07T10:42:36.6961895Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:36.6962597Z triton_bmm_713 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:36.6963623Z triton_bmm_712 0.0069 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:36.6964611Z triton_bmm_718 0.0069 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=8 2025-09-07T10:42:36.6965577Z triton_bmm_725 0.0069 ms 99.5% 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 2025-09-07T10:42:36.6966550Z triton_bmm_724 0.0069 ms 99.1% 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 2025-09-07T10:42:36.6967525Z triton_bmm_714 0.0070 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:36.6968486Z triton_bmm_719 0.0070 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:36.6969464Z triton_bmm_723 0.0071 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=4, num_warps=4 2025-09-07T10:42:36.6970766Z triton_bmm_720 0.0072 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:36.6971757Z triton_bmm_727 0.0072 ms 95.1% 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=5, num_warps=8 2025-09-07T10:42:36.6972621Z SingleProcess AUTOTUNE benchmarking takes 0.1703 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:42:36.8444630Z Autotune Choices Stats: 2025-09-07T10:42:36.8445605Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_739", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.007199999876320362, "best_triton_pos": 0} 2025-09-07T10:42:36.8481056Z AUTOTUNE bmm(32x64x128, 32x128x64) 2025-09-07T10:42:36.8481326Z strides: [128, 4096, 1], [8192, 64, 1] 2025-09-07T10:42:36.8481594Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:36.8482235Z triton_bmm_739 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:36.8483499Z triton_bmm_731 0.0073 ms 98.3% 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 2025-09-07T10:42:36.8484480Z triton_bmm_730 0.0074 ms 97.4% 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 2025-09-07T10:42:36.8485458Z triton_bmm_729 0.0074 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:36.8486442Z triton_bmm_742 0.0074 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:36.8487369Z triton_bmm_735 0.0075 ms 96.2% 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 2025-09-07T10:42:36.8488262Z triton_bmm_738 0.0075 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:36.8488823Z bmm 0.0076 ms 94.9% 2025-09-07T10:42:36.8489354Z triton_bmm_737 0.0076 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:36.8490598Z triton_bmm_736 0.0079 ms 91.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:36.8491396Z SingleProcess AUTOTUNE benchmarking takes 0.1515 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:42:37.0703862Z Autotune Choices Stats: 2025-09-07T10:42:37.0705141Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.01152000017464161, "best_triton_pos": 1, "best_triton_time": 0.019551999866962433, "best_triton_kernel": "triton_mm_747", "best_triton_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"} 2025-09-07T10:42:37.0739689Z AUTOTUNE mm(15x2048, 2048x128) 2025-09-07T10:42:37.0739948Z strides: [1, 15], [128, 1] 2025-09-07T10:42:37.0740197Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:37.0740683Z mm 0.0115 ms 100.0% 2025-09-07T10:42:37.0741276Z triton_mm_747 0.0196 ms 58.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:42:37.0742249Z triton_mm_744 0.0220 ms 52.3% 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 2025-09-07T10:42:37.0743304Z triton_mm_755 0.0227 ms 50.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:37.0744254Z triton_mm_751 0.0263 ms 43.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:37.0745195Z triton_mm_750 0.0286 ms 40.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.0746620Z triton_mm_759 0.0302 ms 38.1% 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 2025-09-07T10:42:37.0747513Z triton_mm_754 0.0359 ms 32.1% 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=3, num_warps=4 2025-09-07T10:42:37.0748579Z triton_mm_757 0.0366 ms 31.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:37.0749471Z triton_mm_756 0.0367 ms 31.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.0750389Z SingleProcess AUTOTUNE benchmarking takes 0.2254 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:42:37.2293181Z Autotune Choices Stats: 2025-09-07T10:42:37.2294161Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_760", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.006399999838322401, "best_triton_pos": 0} 2025-09-07T10:42:37.2328358Z AUTOTUNE mm(2048x15, 15x128) 2025-09-07T10:42:37.2328630Z strides: [15, 1], [128, 1] 2025-09-07T10:42:37.2328881Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:37.2329526Z triton_mm_760 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:42:37.2331710Z triton_mm_765 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:37.2332685Z triton_mm_761 0.0065 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:37.2333640Z triton_mm_764 0.0065 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:37.2334602Z triton_mm_767 0.0065 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:37.2335557Z triton_mm_762 0.0066 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:37.2336609Z triton_mm_763 0.0067 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:37.2337520Z triton_mm_772 0.0067 ms 95.7% 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 2025-09-07T10:42:37.2338440Z triton_mm_768 0.0068 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.2339349Z triton_mm_770 0.0068 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:37.2340137Z SingleProcess AUTOTUNE benchmarking takes 0.1580 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:42:37.4070786Z Autotune Choices Stats: 2025-09-07T10:42:37.4071832Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_810", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006816000211983919, "best_triton_pos": 0} 2025-09-07T10:42:37.4107105Z AUTOTUNE bmm(32x128x64, 32x64x64) 2025-09-07T10:42:37.4107390Z strides: [8192, 64, 1], [4096, 64, 1] 2025-09-07T10:42:37.4107670Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:37.4108306Z triton_bmm_810 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:37.4109462Z triton_bmm_817 0.0068 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=5, num_warps=4 2025-09-07T10:42:37.4110613Z triton_bmm_821 0.0068 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=4, num_warps=4 2025-09-07T10:42:37.4111557Z triton_bmm_811 0.0069 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:37.4112521Z triton_bmm_820 0.0069 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.4113470Z triton_bmm_812 0.0069 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:37.4114411Z triton_bmm_818 0.0069 ms 98.2% 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 2025-09-07T10:42:37.4115360Z triton_bmm_819 0.0069 ms 98.2% 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=4, num_warps=8 2025-09-07T10:42:37.4116478Z triton_bmm_816 0.0070 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:37.4117450Z triton_bmm_826 0.0071 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:37.4118288Z SingleProcess AUTOTUNE benchmarking takes 0.1749 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:42:37.6026716Z Autotune Choices Stats: 2025-09-07T10:42:37.6027728Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_851", "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": 0.010111999697983265, "best_triton_pos": 0} 2025-09-07T10:42:37.6061660Z AUTOTUNE bmm(32x256x256, 32x256x128) 2025-09-07T10:42:37.6061954Z strides: [65536, 1, 256], [128, 4096, 1] 2025-09-07T10:42:37.6062260Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:37.6062988Z triton_bmm_851 0.0101 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:37.6063974Z triton_bmm_855 0.0103 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.6064953Z triton_bmm_854 0.0103 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:37.6065977Z triton_bmm_858 0.0104 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:37.6066989Z triton_bmm_856 0.0105 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 2025-09-07T10:42:37.6068221Z triton_bmm_862 0.0106 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:37.6069135Z triton_bmm_853 0.0107 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.6069917Z bmm 0.0108 ms 93.2% 2025-09-07T10:42:37.6070860Z triton_bmm_857 0.0108 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.6071782Z triton_bmm_861 0.0110 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.6072591Z SingleProcess AUTOTUNE benchmarking takes 0.1938 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:37.7951901Z Autotune Choices Stats: 2025-09-07T10:42:37.7952861Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_877", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.009696000255644321, "best_triton_pos": 0} 2025-09-07T10:42:37.7987251Z AUTOTUNE bmm(32x256x128, 32x128x256) 2025-09-07T10:42:37.7987564Z strides: [128, 4096, 1], [32768, 256, 1] 2025-09-07T10:42:37.7987821Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:37.7988426Z triton_bmm_877 0.0097 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:37.7989339Z triton_bmm_872 0.0099 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.7990560Z triton_bmm_874 0.0099 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.7991473Z triton_bmm_875 0.0099 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 2025-09-07T10:42:37.7992377Z triton_bmm_876 0.0100 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.7993274Z triton_bmm_871 0.0100 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:37.7994178Z triton_bmm_879 0.0100 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.7995083Z triton_bmm_880 0.0101 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:37.7995996Z triton_bmm_873 0.0101 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:37.7996909Z triton_bmm_881 0.0101 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:37.7997693Z SingleProcess AUTOTUNE benchmarking takes 0.1920 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:39.0304654Z Autotune Choices Stats: 2025-09-07T10:42:39.0306729Z {"num_choices": 24, "num_triton_choices": 17, "best_kernel": "decompose_k_mm_64_split_5", "best_kernel_desc": "k_split=64", "best_time": 0.014175999909639359, "best_triton_pos": 7, "best_triton_time": 0.07507199794054031, "best_triton_kernel": "triton_mm_890", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:42:39.0354032Z AUTOTUNE mm(31x8192, 8192x128) 2025-09-07T10:42:39.0354299Z strides: [1, 31], [128, 1] 2025-09-07T10:42:39.0354816Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:39.0355167Z decompose_k_mm_64_split_5 0.0142 ms 100.0% k_split=64 2025-09-07T10:42:39.0355471Z mm 0.0149 ms 95.3% 2025-09-07T10:42:39.0355727Z decompose_k_mm_32_split_4 0.0185 ms 76.5% k_split=32 2025-09-07T10:42:39.0356067Z decompose_k_mm_16_split_3 0.0192 ms 74.0% k_split=16 2025-09-07T10:42:39.0356403Z decompose_k_mm_8_split_2 0.0249 ms 56.9% k_split=8 2025-09-07T10:42:39.0356825Z decompose_k_mm_4_split_1 0.0346 ms 40.9% k_split=4 2025-09-07T10:42:39.0357226Z decompose_k_mm_2_split_0 0.0577 ms 24.6% k_split=2 2025-09-07T10:42:39.0357956Z triton_mm_890 0.0751 ms 18.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:39.0358980Z triton_mm_883 0.0917 ms 15.5% 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 2025-09-07T10:42:39.0359967Z triton_mm_889 0.1065 ms 13.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:39.0361289Z SingleProcess AUTOTUNE benchmarking takes 1.2362 seconds and 0.0002 seconds precompiling for 24 choices 2025-09-07T10:42:39.2103698Z Autotune Choices Stats: 2025-09-07T10:42:39.2104719Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_906", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.007007999811321497, "best_triton_pos": 0} 2025-09-07T10:42:39.2141386Z AUTOTUNE mm(8192x31, 31x128) 2025-09-07T10:42:39.2141682Z strides: [31, 1], [128, 1] 2025-09-07T10:42:39.2141943Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:39.2142599Z triton_mm_906 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:39.2143664Z triton_mm_905 0.0071 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:39.2144615Z triton_mm_907 0.0071 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:39.2145568Z triton_mm_910 0.0071 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:39.2146626Z triton_mm_901 0.0072 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:39.2147624Z triton_mm_908 0.0073 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.2148596Z triton_mm_909 0.0073 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:39.2149560Z triton_mm_912 0.0073 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:39.2151154Z triton_mm_903 0.0074 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:39.2152131Z triton_mm_904 0.0074 ms 94.4% 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 2025-09-07T10:42:39.2153165Z SingleProcess AUTOTUNE benchmarking takes 0.1700 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:42:39.4157964Z Autotune Choices Stats: 2025-09-07T10:42:39.4158995Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_957", "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": 0.010304000228643417, "best_triton_pos": 0} 2025-09-07T10:42:39.4196124Z AUTOTUNE bmm(32x128x256, 32x256x256) 2025-09-07T10:42:39.4196437Z strides: [32768, 256, 1], [65536, 256, 1] 2025-09-07T10:42:39.4196811Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:39.4197623Z triton_bmm_957 0.0103 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:39.4198684Z triton_bmm_962 0.0105 ms 97.9% 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 2025-09-07T10:42:39.4199670Z triton_bmm_964 0.0106 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:39.4200434Z bmm 0.0106 ms 97.0% 2025-09-07T10:42:39.4201026Z triton_bmm_960 0.0107 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:39.4202077Z triton_bmm_961 0.0108 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.4203077Z triton_bmm_968 0.0109 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:39.4204059Z triton_bmm_959 0.0110 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.4205019Z triton_bmm_963 0.0110 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.4205985Z triton_bmm_967 0.0111 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.4206907Z SingleProcess AUTOTUNE benchmarking takes 0.1946 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:39.5989507Z Autotune Choices Stats: 2025-09-07T10:42:39.5990975Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_1000", "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": 0.00940799992531538, "best_triton_pos": 0} 2025-09-07T10:42:39.6028636Z AUTOTUNE bmm(32x256x256, 32x256x64) 2025-09-07T10:42:39.6028899Z strides: [65536, 1, 256], [64, 2048, 1] 2025-09-07T10:42:39.6029182Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:39.6029832Z triton_bmm_1000 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=4, num_warps=4 2025-09-07T10:42:39.6031480Z triton_bmm_996 0.0094 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:39.6032458Z triton_bmm_999 0.0095 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.6033696Z triton_bmm_995 0.0096 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:39.6034310Z bmm 0.0098 ms 96.1% 2025-09-07T10:42:39.6034880Z triton_bmm_998 0.0098 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:39.6035863Z triton_bmm_1005 0.0099 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:39.6036851Z triton_bmm_991 0.0099 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:39.6037805Z triton_bmm_990 0.0100 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:39.6038714Z triton_bmm_1004 0.0100 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.6039507Z SingleProcess AUTOTUNE benchmarking takes 0.1815 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:42:39.7886340Z Autotune Choices Stats: 2025-09-07T10:42:39.7887343Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_1017", "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": 0.008736000396311283, "best_triton_pos": 0} 2025-09-07T10:42:39.7924802Z AUTOTUNE bmm(32x256x64, 32x64x256) 2025-09-07T10:42:39.7925109Z strides: [64, 2048, 1], [16384, 256, 1] 2025-09-07T10:42:39.7925389Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:39.7926048Z triton_bmm_1017 0.0087 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.7927038Z triton_bmm_1014 0.0088 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:39.7927988Z triton_bmm_1013 0.0089 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:39.7928950Z triton_bmm_1018 0.0089 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:39.7929913Z triton_bmm_1020 0.0089 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:39.7931274Z triton_bmm_1024 0.0089 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:39.7932251Z triton_bmm_1015 0.0090 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.7933196Z triton_bmm_1016 0.0090 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:39.7934426Z triton_bmm_1022 0.0090 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.7935399Z triton_bmm_1023 0.0090 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:39.7936415Z SingleProcess AUTOTUNE benchmarking takes 0.1890 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:42:40.9347556Z Autotune Choices Stats: 2025-09-07T10:42:40.9349018Z {"num_choices": 22, "num_triton_choices": 15, "best_kernel": "decompose_k_mm_64_split_17", "best_kernel_desc": "k_split=64", "best_time": 0.012256000190973282, "best_triton_pos": 7, "best_triton_time": 0.07452800124883652, "best_triton_kernel": "triton_mm_1033", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:42:40.9402047Z AUTOTUNE mm(31x8192, 8192x64) 2025-09-07T10:42:40.9402315Z strides: [1, 31], [64, 1] 2025-09-07T10:42:40.9402565Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:40.9402894Z decompose_k_mm_64_split_17 0.0123 ms 100.0% k_split=64 2025-09-07T10:42:40.9403223Z mm 0.0140 ms 87.8% 2025-09-07T10:42:40.9403492Z decompose_k_mm_32_split_16 0.0143 ms 85.7% k_split=32 2025-09-07T10:42:40.9403851Z decompose_k_mm_16_split_15 0.0172 ms 71.5% k_split=16 2025-09-07T10:42:40.9404203Z decompose_k_mm_8_split_14 0.0236 ms 51.9% k_split=8 2025-09-07T10:42:40.9404527Z decompose_k_mm_4_split_13 0.0349 ms 35.1% k_split=4 2025-09-07T10:42:40.9404841Z decompose_k_mm_2_split_12 0.0583 ms 21.0% k_split=2 2025-09-07T10:42:40.9405508Z triton_mm_1033 0.0745 ms 16.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:40.9406485Z triton_mm_1037 0.0749 ms 16.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:40.9407534Z triton_mm_1026 0.0904 ms 13.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:40.9408327Z SingleProcess AUTOTUNE benchmarking takes 1.1472 seconds and 0.0002 seconds precompiling for 22 choices 2025-09-07T10:42:41.1044944Z Autotune Choices Stats: 2025-09-07T10:42:41.1045909Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1047", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.006752000190317631, "best_triton_pos": 0} 2025-09-07T10:42:41.1086633Z AUTOTUNE mm(8192x31, 31x64) 2025-09-07T10:42:41.1086892Z strides: [31, 1], [64, 1] 2025-09-07T10:42:41.1087147Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:41.1087797Z triton_mm_1047 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:41.1088789Z triton_mm_1050 0.0068 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:41.1089742Z triton_mm_1042 0.0068 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:41.1091033Z triton_mm_1048 0.0068 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:41.1092446Z triton_mm_1044 0.0068 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:41.1093410Z triton_mm_1046 0.0068 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:41.1094569Z triton_mm_1049 0.0068 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:41.1095541Z triton_mm_1051 0.0068 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:42:41.1096495Z triton_mm_1041 0.0070 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:41.1097562Z triton_mm_1043 0.0070 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:41.1098352Z SingleProcess AUTOTUNE benchmarking takes 0.1597 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:42:41.2892073Z Autotune Choices Stats: 2025-09-07T10:42:41.2893024Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_1095", "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": 0.009535999968647957, "best_triton_pos": 0} 2025-09-07T10:42:41.2932382Z AUTOTUNE bmm(32x64x256, 32x256x256) 2025-09-07T10:42:41.2932685Z strides: [16384, 256, 1], [65536, 256, 1] 2025-09-07T10:42:41.2932975Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:41.2933615Z triton_bmm_1095 0.0095 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:41.2934595Z triton_bmm_1094 0.0096 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:41.2935200Z bmm 0.0097 ms 98.0% 2025-09-07T10:42:41.2935798Z triton_bmm_1103 0.0098 ms 97.7% 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=5, num_warps=8 2025-09-07T10:42:41.2936774Z triton_bmm_1101 0.0098 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:41.2937908Z triton_bmm_1098 0.0098 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:41.2938906Z triton_bmm_1099 0.0099 ms 96.4% 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 2025-09-07T10:42:41.2939893Z triton_bmm_1089 0.0100 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:41.2941330Z triton_bmm_1090 0.0100 ms 95.2% 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 2025-09-07T10:42:41.2942324Z triton_bmm_1097 0.0101 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:41.2943256Z SingleProcess AUTOTUNE benchmarking takes 0.1735 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:42:50.3301097Z pass 2025-09-07T10:42:55.4260871Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:42:55.4262137Z import pynvml # type: ignore[import] 2025-09-07T10:42:58.4295057Z 2025-09-07T10:43:02.1120512Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:43:02.1121432Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:43:02.1121745Z cuda train cait_m36_384 2025-09-07T10:43:59.0334971Z Autotune Choices Stats: 2025-09-07T10:43:59.0337105Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.04281599819660187, "best_triton_pos": 1, "best_triton_time": 0.0504320003092289, "best_triton_kernel": "triton_mm_121", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:43:59.0376160Z AUTOTUNE addmm(4608x3072, 4608x768, 768x3072) 2025-09-07T10:43:59.0376448Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:43:59.0376759Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:43:59.0377071Z bias_addmm 0.0428 ms 100.0% 2025-09-07T10:43:59.0377710Z triton_mm_121 0.0504 ms 84.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:43:59.0378748Z triton_mm_120 0.0579 ms 73.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:43:59.0379834Z triton_mm_122 0.0590 ms 72.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:43:59.0381100Z triton_mm_115 0.0621 ms 68.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:43:59.0382139Z triton_mm_114 0.0671 ms 63.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:43:59.0383251Z triton_mm_118 0.0686 ms 62.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:43:59.0383885Z addmm 0.0690 ms 62.1% 2025-09-07T10:43:59.0384475Z triton_mm_117 0.0690 ms 62.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:43:59.0385489Z triton_mm_116 0.0710 ms 60.3% 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 2025-09-07T10:43:59.0386366Z SingleProcess AUTOTUNE benchmarking takes 0.4256 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T10:44:00.1861536Z Autotune Choices Stats: 2025-09-07T10:44:00.1862870Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_6", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.22278399765491486, "best_triton_pos": 0} 2025-09-07T10:44:00.1901951Z AUTOTUNE convolution(8x3x384x384, 768x3x16x16) 2025-09-07T10:44:00.1902321Z strides: [442368, 147456, 384, 1], [768, 256, 16, 1] 2025-09-07T10:44:00.1902724Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:00.1903517Z triton_convolution2d_6 0.2228 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:44:00.1905319Z triton_convolution2d_1 0.2263 ms 98.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:44:00.1906830Z triton_convolution2d_3 0.2358 ms 94.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:44:00.1907643Z convolution 0.2362 ms 94.3% 2025-09-07T10:44:00.1908372Z triton_convolution2d_0 0.3590 ms 62.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:44:00.1909671Z triton_convolution2d_4 0.3798 ms 58.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:44:00.1911381Z triton_convolution2d_5 0.3820 ms 58.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:44:00.1912630Z triton_convolution2d_2 1.1404 ms 19.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:44:00.1913614Z SingleProcess AUTOTUNE benchmarking takes 0.2755 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:44:00.7005289Z Autotune Choices Stats: 2025-09-07T10:44:00.7006391Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_4943", "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": 0.009312000125646591, "best_triton_pos": 0} 2025-09-07T10:44:00.7049025Z AUTOTUNE addmm(8x3072, 8x768, 768x3072) 2025-09-07T10:44:00.7049344Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:44:00.7049674Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:44:00.7050754Z triton_mm_4943 0.0093 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:44:00.7051740Z triton_mm_4947 0.0099 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:00.7052353Z bias_addmm 0.0100 ms 93.6% 2025-09-07T10:44:00.7052959Z triton_mm_4951 0.0108 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:44:00.7053924Z triton_mm_4955 0.0110 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:44:00.7054877Z triton_mm_4942 0.0114 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:44:00.7055817Z triton_mm_4941 0.0119 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:00.7056750Z triton_mm_4946 0.0120 ms 77.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:00.7057703Z triton_mm_4940 0.0123 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:44:00.7059018Z triton_mm_4950 0.0128 ms 72.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:00.7059909Z SingleProcess AUTOTUNE benchmarking takes 0.2417 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:44:03.6670074Z Autotune Choices Stats: 2025-09-07T10:44:03.6672785Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.030047999694943428, "best_triton_pos": 1, "best_triton_time": 0.038015998899936676, "best_triton_kernel": "triton_mm_24", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:44:03.6712988Z AUTOTUNE mm(4608x768, 768x2304) 2025-09-07T10:44:03.6713261Z strides: [768, 1], [1, 768] 2025-09-07T10:44:03.6713537Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:03.6713802Z mm 0.0300 ms 100.0% 2025-09-07T10:44:03.6714392Z triton_mm_24 0.0380 ms 79.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.6715371Z triton_mm_23 0.0385 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.6716351Z triton_mm_25 0.0402 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=5, num_warps=8 2025-09-07T10:44:03.6717328Z triton_mm_18 0.0455 ms 66.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.6718284Z triton_mm_17 0.0517 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:03.6719257Z triton_mm_19 0.0518 ms 58.0% 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 2025-09-07T10:44:03.6720379Z triton_mm_16 0.0521 ms 57.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.6721371Z triton_mm_21 0.0524 ms 57.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:03.6722264Z triton_mm_20 0.0533 ms 56.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.6723053Z SingleProcess AUTOTUNE benchmarking takes 0.3444 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:44:03.9643688Z Autotune Choices Stats: 2025-09-07T10:44:03.9645661Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "bmm", "best_time": 0.04287999868392944, "best_triton_pos": 1, "best_triton_time": 0.04339199885725975, "best_triton_kernel": "triton_bmm_37", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:44:03.9685204Z AUTOTUNE bmm(128x576x48, 128x48x576) 2025-09-07T10:44:03.9685714Z strides: [27648, 48, 1], [27648, 576, 1] 2025-09-07T10:44:03.9686157Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:03.9686597Z bmm 0.0429 ms 100.0% 2025-09-07T10:44:03.9687567Z triton_bmm_37 0.0434 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.9689584Z triton_bmm_38 0.0437 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:44:03.9691756Z triton_bmm_35 0.0437 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.9692821Z triton_bmm_43 0.0440 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.9693773Z triton_bmm_39 0.0442 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.9694686Z triton_bmm_42 0.0453 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:03.9695608Z triton_bmm_34 0.0462 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:03.9696513Z triton_bmm_40 0.0506 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:03.9697429Z triton_bmm_36 0.0525 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:03.9698227Z SingleProcess AUTOTUNE benchmarking takes 0.2955 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:44:04.1509657Z Autotune Choices Stats: 2025-09-07T10:44:04.1511747Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_52", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.06111999973654747, "best_triton_pos": 0} 2025-09-07T10:44:04.1550163Z AUTOTUNE mm(2654208x16, 16x16) 2025-09-07T10:44:04.1550911Z strides: [16, 1], [1, 16] 2025-09-07T10:44:04.1551390Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:04.1552184Z triton_mm_52 0.0611 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:04.1553157Z triton_mm_45 0.0613 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:44:04.1554124Z triton_mm_46 0.0613 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:44:04.1555082Z triton_mm_47 0.0613 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:44:04.1556041Z triton_mm_49 0.0628 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:44:04.1556994Z triton_mm_48 0.0628 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:04.1557947Z triton_mm_50 0.0628 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:04.1558907Z triton_mm_51 0.0628 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:44:04.1560074Z triton_mm_53 0.0646 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:04.1561182Z triton_mm_54 0.0647 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:44:04.1562033Z SingleProcess AUTOTUNE benchmarking takes 0.1853 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:44:04.4298513Z Autotune Choices Stats: 2025-09-07T10:44:04.4300133Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_83", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.047839999198913574, "best_triton_pos": 0} 2025-09-07T10:44:04.4339687Z AUTOTUNE bmm(128x576x576, 128x576x48) 2025-09-07T10:44:04.4340193Z strides: [331776, 576, 1], [27648, 48, 1] 2025-09-07T10:44:04.4340918Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:04.4341991Z triton_bmm_83 0.0478 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:04.4343192Z bmm 0.0492 ms 97.2% 2025-09-07T10:44:04.4344130Z triton_bmm_78 0.0494 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:04.4345690Z triton_bmm_84 0.0494 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:44:04.4347200Z triton_bmm_74 0.0500 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:44:04.4348732Z triton_bmm_75 0.0524 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:04.4350463Z triton_bmm_77 0.0540 ms 88.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:04.4352105Z triton_bmm_79 0.0542 ms 88.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:44:04.4353082Z triton_bmm_80 0.0546 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=3, num_warps=4 2025-09-07T10:44:04.4354039Z triton_bmm_81 0.0559 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=4, num_warps=8 2025-09-07T10:44:04.4354886Z SingleProcess AUTOTUNE benchmarking takes 0.2771 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:44:04.7089099Z Autotune Choices Stats: 2025-09-07T10:44:04.7091652Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.015776000916957855, "best_triton_pos": 1, "best_triton_time": 0.017664000391960144, "best_triton_kernel": "triton_mm_102", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:44:04.7131461Z AUTOTUNE addmm(4608x768, 4608x768, 768x768) 2025-09-07T10:44:04.7131952Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:44:04.7132450Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:44:04.7132946Z bias_addmm 0.0158 ms 100.0% 2025-09-07T10:44:04.7133935Z triton_mm_102 0.0177 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:04.7136079Z triton_mm_101 0.0207 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:04.7137633Z triton_mm_96 0.0208 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 2025-09-07T10:44:04.7139424Z triton_mm_103 0.0212 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=5, num_warps=8 2025-09-07T10:44:04.7140754Z addmm 0.0227 ms 69.4% 2025-09-07T10:44:04.7141819Z triton_mm_94 0.0238 ms 66.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:04.7142822Z triton_mm_98 0.0239 ms 66.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:04.7143702Z triton_mm_92 0.0243 ms 64.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:44:04.7144592Z triton_mm_95 0.0250 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 2025-09-07T10:44:04.7145380Z SingleProcess AUTOTUNE benchmarking takes 0.2786 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:44:05.1231647Z Autotune Choices Stats: 2025-09-07T10:44:05.1233053Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.03907199949026108, "best_triton_pos": 1, "best_triton_time": 0.04233599826693535, "best_triton_kernel": "triton_mm_140", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:44:05.1273471Z AUTOTUNE addmm(4608x768, 4608x3072, 3072x768) 2025-09-07T10:44:05.1273796Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T10:44:05.1274091Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:44:05.1274390Z bias_addmm 0.0391 ms 100.0% 2025-09-07T10:44:05.1275015Z triton_mm_140 0.0423 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:05.1275655Z addmm 0.0474 ms 82.4% 2025-09-07T10:44:05.1276239Z triton_mm_141 0.0478 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:44:05.1277224Z triton_mm_134 0.0579 ms 67.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:05.1278188Z triton_mm_139 0.0583 ms 67.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:05.1279163Z triton_mm_135 0.0601 ms 65.0% 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 2025-09-07T10:44:05.1280132Z triton_mm_130 0.0686 ms 57.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:44:05.1281432Z triton_mm_132 0.0708 ms 55.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:05.1282628Z triton_mm_136 0.0728 ms 53.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:05.1283408Z SingleProcess AUTOTUNE benchmarking takes 0.4122 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:44:05.8635660Z Autotune Choices Stats: 2025-09-07T10:44:05.8636847Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_4871", "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": 0.007935999892652035, "best_triton_pos": 0} 2025-09-07T10:44:05.8682298Z AUTOTUNE addmm(8x768, 8x768, 768x768) 2025-09-07T10:44:05.8682834Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:44:05.8683349Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:44:05.8684482Z triton_mm_4871 0.0079 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:44:05.8686108Z triton_mm_4875 0.0085 ms 92.9% 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 2025-09-07T10:44:05.8687122Z bias_addmm 0.0087 ms 91.2% 2025-09-07T10:44:05.8688105Z triton_mm_4879 0.0095 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:44:05.8689641Z triton_mm_4883 0.0097 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:44:05.8691832Z triton_mm_4870 0.0101 ms 78.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:44:05.8692905Z triton_mm_4869 0.0105 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:05.8693805Z triton_mm_4874 0.0106 ms 75.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:05.8694718Z triton_mm_4868 0.0113 ms 70.3% 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 2025-09-07T10:44:05.8695630Z triton_mm_4878 0.0114 ms 69.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:05.8696417Z SingleProcess AUTOTUNE benchmarking takes 0.2395 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:44:06.1434071Z Autotune Choices Stats: 2025-09-07T10:44:06.1435299Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.01600000075995922, "best_triton_pos": 1, "best_triton_time": 0.01744000054895878, "best_triton_kernel": "triton_mm_4901", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:44:06.1477482Z AUTOTUNE addmm(4616x768, 4616x768, 768x768) 2025-09-07T10:44:06.1477766Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:44:06.1478071Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:44:06.1478380Z bias_addmm 0.0160 ms 100.0% 2025-09-07T10:44:06.1478995Z triton_mm_4901 0.0174 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:06.1479987Z triton_mm_4900 0.0204 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:06.1481452Z triton_mm_4895 0.0206 ms 77.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:06.1482453Z triton_mm_4902 0.0211 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:44:06.1483043Z addmm 0.0232 ms 69.0% 2025-09-07T10:44:06.1483744Z triton_mm_4893 0.0239 ms 67.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:06.1484654Z triton_mm_4891 0.0244 ms 65.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:44:06.1485568Z triton_mm_4897 0.0245 ms 65.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:06.1486467Z triton_mm_4894 0.0251 ms 63.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:06.1487250Z SingleProcess AUTOTUNE benchmarking takes 0.2790 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:44:06.4174970Z Autotune Choices Stats: 2025-09-07T10:44:06.4222744Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "bias_addmm", "best_time": 0.013279999606311321, "best_triton_pos": 1, "best_triton_time": 0.014240000396966934, "best_triton_kernel": "triton_mm_4964", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:44:06.4224763Z AUTOTUNE addmm(8x768, 8x3072, 3072x768) 2025-09-07T10:44:06.4225192Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T10:44:06.4225698Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:44:06.4226205Z bias_addmm 0.0133 ms 100.0% 2025-09-07T10:44:06.4227207Z triton_mm_4964 0.0142 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:06.4228753Z triton_mm_4960 0.0146 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:44:06.4230590Z triton_mm_4968 0.0165 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:44:06.4231691Z addmm 0.0170 ms 78.2% 2025-09-07T10:44:06.4232602Z triton_mm_4972 0.0196 ms 67.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:44:06.4233569Z triton_mm_4959 0.0224 ms 59.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:44:06.4234540Z triton_mm_4958 0.0236 ms 56.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:06.4235506Z triton_mm_4963 0.0247 ms 53.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:06.4236467Z triton_mm_4957 0.0250 ms 53.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:44:06.4237538Z SingleProcess AUTOTUNE benchmarking takes 0.2679 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:44:57.5303836Z Autotune Choices Stats: 2025-09-07T10:44:57.5305904Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.040672000497579575, "best_triton_pos": 1, "best_triton_time": 0.04793599992990494, "best_triton_kernel": "triton_mm_5562", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:44:57.5350847Z AUTOTUNE mm(4608x768, 768x3072) 2025-09-07T10:44:57.5351121Z strides: [768, 1], [3072, 1] 2025-09-07T10:44:57.5351382Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:57.5351626Z mm 0.0407 ms 100.0% 2025-09-07T10:44:57.5353230Z triton_mm_5562 0.0479 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:57.5354214Z triton_mm_5561 0.0481 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:57.5355151Z triton_mm_5563 0.0523 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 2025-09-07T10:44:57.5356085Z triton_mm_5556 0.0582 ms 69.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:57.5357063Z triton_mm_5554 0.0594 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:57.5358043Z triton_mm_5555 0.0608 ms 66.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:57.5359023Z triton_mm_5558 0.0635 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:57.5359994Z triton_mm_5559 0.0640 ms 63.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:57.5361121Z triton_mm_5557 0.0658 ms 61.8% 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 2025-09-07T10:44:57.5361981Z SingleProcess AUTOTUNE benchmarking takes 0.3695 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:44:58.7153579Z Autotune Choices Stats: 2025-09-07T10:44:58.7154634Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_5151", "best_kernel_desc": "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", "best_time": 0.007007999811321497, "best_triton_pos": 0} 2025-09-07T10:44:58.7198163Z AUTOTUNE mm(768x8, 8x3072) 2025-09-07T10:44:58.7198434Z strides: [1, 768], [3072, 1] 2025-09-07T10:44:58.7198722Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:58.7199407Z triton_mm_5151 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:44:58.7200660Z triton_mm_5153 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 2025-09-07T10:44:58.7201710Z triton_mm_5152 0.0072 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:44:58.7203393Z triton_mm_5158 0.0072 ms 97.3% 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 2025-09-07T10:44:58.7204411Z triton_mm_5154 0.0073 ms 96.1% 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 2025-09-07T10:44:58.7205412Z triton_mm_5156 0.0074 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:44:58.7206705Z triton_mm_5157 0.0074 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:58.7207683Z triton_mm_5155 0.0074 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:58.7208674Z triton_mm_5150 0.0074 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:58.7209657Z triton_mm_5160 0.0076 ms 92.4% 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=3, num_warps=4 2025-09-07T10:44:58.7210663Z SingleProcess AUTOTUNE benchmarking takes 0.1609 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:44:58.8962796Z Autotune Choices Stats: 2025-09-07T10:44:58.8963840Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_5185", "best_kernel_desc": "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", "best_time": 0.007135999854654074, "best_triton_pos": 0} 2025-09-07T10:44:58.9008383Z AUTOTUNE mm(3072x8, 8x768) 2025-09-07T10:44:58.9008689Z strides: [1, 3072], [768, 1] 2025-09-07T10:44:58.9008976Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:58.9009665Z triton_mm_5185 0.0071 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:44:58.9011813Z triton_mm_5184 0.0072 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:44:58.9012797Z triton_mm_5186 0.0072 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:58.9013752Z triton_mm_5188 0.0073 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 2025-09-07T10:44:58.9014718Z triton_mm_5187 0.0074 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:58.9015669Z triton_mm_5189 0.0074 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:44:58.9016786Z triton_mm_5191 0.0074 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:58.9017859Z triton_mm_5190 0.0074 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:58.9018922Z triton_mm_5183 0.0076 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:58.9020566Z triton_mm_5194 0.0076 ms 93.7% 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 2025-09-07T10:44:58.9021512Z SingleProcess AUTOTUNE benchmarking takes 0.1591 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:44:59.3103354Z Autotune Choices Stats: 2025-09-07T10:44:59.3105153Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03513599932193756, "best_triton_pos": 1, "best_triton_time": 0.04623999819159508, "best_triton_kernel": "triton_mm_5575", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:44:59.3149341Z AUTOTUNE mm(768x4608, 4608x3072) 2025-09-07T10:44:59.3149599Z strides: [1, 768], [3072, 1] 2025-09-07T10:44:59.3149874Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:59.3150150Z mm 0.0351 ms 100.0% 2025-09-07T10:44:59.3151020Z triton_mm_5575 0.0462 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.3152038Z triton_mm_5581 0.0542 ms 64.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.3153031Z triton_mm_5574 0.0564 ms 62.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:59.3154010Z triton_mm_5576 0.0582 ms 60.4% 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 2025-09-07T10:44:59.3154989Z triton_mm_5578 0.0590 ms 59.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:59.3155969Z triton_mm_5582 0.0621 ms 56.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:44:59.3156944Z triton_mm_5573 0.0644 ms 54.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.3157939Z triton_mm_5580 0.0672 ms 52.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.3158914Z triton_mm_5577 0.0679 ms 51.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.3159760Z SingleProcess AUTOTUNE benchmarking takes 0.3722 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:44:59.6925807Z Autotune Choices Stats: 2025-09-07T10:44:59.6927182Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.034272000193595886, "best_triton_pos": 1, "best_triton_time": 0.04915200173854828, "best_triton_kernel": "triton_mm_5613", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:44:59.6969947Z AUTOTUNE mm(3072x4608, 4608x768) 2025-09-07T10:44:59.6970604Z strides: [1, 3072], [768, 1] 2025-09-07T10:44:59.6970925Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:59.6971223Z mm 0.0343 ms 100.0% 2025-09-07T10:44:59.6971862Z triton_mm_5613 0.0492 ms 69.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.6972848Z triton_mm_5619 0.0527 ms 65.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.6974243Z triton_mm_5612 0.0569 ms 60.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:59.6975236Z triton_mm_5614 0.0587 ms 58.4% 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 2025-09-07T10:44:59.6976489Z triton_mm_5616 0.0606 ms 56.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:59.6977596Z triton_mm_5620 0.0630 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 2025-09-07T10:44:59.6978517Z triton_mm_5611 0.0636 ms 53.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.6979426Z triton_mm_5618 0.0642 ms 53.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.6980483Z triton_mm_5615 0.0646 ms 53.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:59.6981289Z SingleProcess AUTOTUNE benchmarking takes 0.3772 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:45:00.3828786Z Autotune Choices Stats: 2025-09-07T10:45:00.3830101Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03030399978160858, "best_triton_pos": 1, "best_triton_time": 0.03376000002026558, "best_triton_kernel": "triton_mm_5812", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:45:00.3872090Z AUTOTUNE mm(2304x4608, 4608x768) 2025-09-07T10:45:00.3872353Z strides: [1, 2304], [768, 1] 2025-09-07T10:45:00.3872615Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:00.3872869Z mm 0.0303 ms 100.0% 2025-09-07T10:45:00.3873496Z triton_mm_5812 0.0338 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:00.3874508Z triton_mm_5806 0.0407 ms 74.5% 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 2025-09-07T10:45:00.3875505Z triton_mm_5805 0.0424 ms 71.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:00.3876485Z triton_mm_5811 0.0457 ms 66.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:00.3877469Z triton_mm_5804 0.0482 ms 62.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:00.3878436Z triton_mm_5808 0.0484 ms 62.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:00.3879401Z triton_mm_5801 0.0513 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:00.3880549Z triton_mm_5802 0.0560 ms 54.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:00.3882180Z triton_mm_5803 0.0608 ms 49.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:00.3883028Z SingleProcess AUTOTUNE benchmarking takes 0.3352 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:45:00.9429299Z Autotune Choices Stats: 2025-09-07T10:45:00.9431292Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_5213", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006304000038653612, "best_triton_pos": 0} 2025-09-07T10:45:00.9474593Z AUTOTUNE mm(768x8, 8x768) 2025-09-07T10:45:00.9474836Z strides: [1, 768], [768, 1] 2025-09-07T10:45:00.9475112Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:00.9475759Z triton_mm_5213 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:45:00.9476852Z triton_mm_5218 0.0063 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:00.9478205Z triton_mm_5223 0.0063 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 2025-09-07T10:45:00.9479483Z triton_mm_5220 0.0064 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:00.9480908Z triton_mm_5222 0.0064 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:45:00.9482071Z triton_mm_5217 0.0064 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:45:00.9483219Z triton_mm_5224 0.0064 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:00.9484367Z triton_mm_5212 0.0065 ms 97.5% 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=1, num_warps=2 2025-09-07T10:45:00.9485505Z triton_mm_5214 0.0065 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:00.9486629Z triton_mm_5215 0.0065 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:00.9487711Z SingleProcess AUTOTUNE benchmarking takes 0.1588 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:45:01.2984847Z Autotune Choices Stats: 2025-09-07T10:45:01.2987028Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019487999379634857, "best_triton_pos": 1, "best_triton_time": 0.024064000695943832, "best_triton_kernel": "triton_mm_5259", "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"} 2025-09-07T10:45:01.3030148Z AUTOTUNE mm(768x4616, 4616x768) 2025-09-07T10:45:01.3030544Z strides: [1, 768], [768, 1] 2025-09-07T10:45:01.3030827Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:01.3031093Z mm 0.0195 ms 100.0% 2025-09-07T10:45:01.3031707Z triton_mm_5259 0.0241 ms 81.0% 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 2025-09-07T10:45:01.3033123Z triton_mm_5255 0.0306 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:01.3034140Z triton_mm_5265 0.0324 ms 60.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:01.3035349Z triton_mm_5254 0.0370 ms 52.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:01.3036341Z triton_mm_5258 0.0377 ms 51.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:01.3037342Z triton_mm_5264 0.0414 ms 47.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:01.3038346Z triton_mm_5257 0.0416 ms 46.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:01.3039264Z triton_mm_5261 0.0426 ms 45.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:01.3040188Z triton_mm_5251 0.0458 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 2025-09-07T10:45:01.3041177Z SingleProcess AUTOTUNE benchmarking takes 0.2985 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:45:01.6359049Z Autotune Choices Stats: 2025-09-07T10:45:01.6360574Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019039999693632126, "best_triton_pos": 1, "best_triton_time": 0.02115200087428093, "best_triton_kernel": "triton_mm_5652", "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"} 2025-09-07T10:45:01.6403897Z AUTOTUNE mm(768x4608, 4608x768) 2025-09-07T10:45:01.6404163Z strides: [1, 768], [768, 1] 2025-09-07T10:45:01.6404413Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:01.6404682Z mm 0.0190 ms 100.0% 2025-09-07T10:45:01.6405319Z triton_mm_5652 0.0212 ms 90.0% 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 2025-09-07T10:45:01.6406364Z triton_mm_5658 0.0297 ms 64.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:01.6407433Z triton_mm_5648 0.0298 ms 63.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:01.6408411Z triton_mm_5651 0.0358 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:01.6409312Z triton_mm_5647 0.0362 ms 52.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:01.6410378Z triton_mm_5644 0.0368 ms 51.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:01.6411297Z triton_mm_5657 0.0394 ms 48.4% 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 2025-09-07T10:45:01.6412720Z triton_mm_5654 0.0414 ms 46.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:01.6413631Z triton_mm_5650 0.0416 ms 45.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:01.6414426Z SingleProcess AUTOTUNE benchmarking takes 0.2901 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:45:02.1890827Z Autotune Choices Stats: 2025-09-07T10:45:02.1892403Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_5133", "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": 0.008832000195980072, "best_triton_pos": 0} 2025-09-07T10:45:02.1939866Z AUTOTUNE mm(8x768, 768x3072) 2025-09-07T10:45:02.1940146Z strides: [768, 1], [3072, 1] 2025-09-07T10:45:02.1940591Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:02.1941254Z triton_mm_5133 0.0088 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:45:02.1942264Z triton_mm_5137 0.0092 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:02.1942962Z mm 0.0093 ms 94.5% 2025-09-07T10:45:02.1943548Z triton_mm_5145 0.0102 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:02.1944531Z triton_mm_5132 0.0107 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:45:02.1945501Z triton_mm_5131 0.0108 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:02.1946447Z triton_mm_5141 0.0108 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:45:02.1947446Z triton_mm_5136 0.0113 ms 78.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:02.1948484Z triton_mm_5140 0.0116 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:02.1949448Z triton_mm_5143 0.0119 ms 74.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:45:02.1950424Z SingleProcess AUTOTUNE benchmarking takes 0.1803 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:45:06.4276781Z Autotune Choices Stats: 2025-09-07T10:45:06.4278284Z {"num_choices": 22, "num_triton_choices": 11, "best_kernel": "decompose_k_mm_2592_split_5", "best_kernel_desc": "k_split=2592", "best_time": 0.09561599791049957, "best_triton_pos": 11, "best_triton_time": 4.276000022888184, "best_triton_kernel": "triton_mm_5699", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1"} 2025-09-07T10:45:06.4342324Z AUTOTUNE mm(16x2654208, 2654208x16) 2025-09-07T10:45:06.4342635Z strides: [1, 16], [16, 1] 2025-09-07T10:45:06.4342958Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:06.4343298Z decompose_k_mm_2592_split_5 0.0956 ms 100.0% k_split=2592 2025-09-07T10:45:06.4343698Z decompose_k_mm_5184_split_6 0.0958 ms 99.8% k_split=5184 2025-09-07T10:45:06.4352343Z decompose_k_mm_1296_split_4 0.0971 ms 98.5% k_split=1296 2025-09-07T10:45:06.4352739Z decompose_k_mm_648_split_3 0.0989 ms 96.7% k_split=648 2025-09-07T10:45:06.4353114Z decompose_k_mm_10368_split_7 0.0997 ms 95.9% k_split=10368 2025-09-07T10:45:06.4353484Z decompose_k_mm_324_split_2 0.1098 ms 87.1% k_split=324 2025-09-07T10:45:06.4353778Z mm 0.1101 ms 86.8% 2025-09-07T10:45:06.4354022Z decompose_k_mm_81_split_0 0.1117 ms 85.6% k_split=81 2025-09-07T10:45:06.4354375Z decompose_k_mm_20736_split_8 0.1132 ms 84.4% k_split=20736 2025-09-07T10:45:06.4355102Z decompose_k_mm_162_split_1 0.1296 ms 73.8% k_split=162 2025-09-07T10:45:06.4355657Z SingleProcess AUTOTUNE benchmarking takes 3.9578 seconds and 0.0002 seconds precompiling for 22 choices 2025-09-07T10:45:09.0625854Z Autotune Choices Stats: 2025-09-07T10:45:09.0627195Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.013024000450968742, "best_triton_pos": 1, "best_triton_time": 0.014399999752640724, "best_triton_kernel": "triton_mm_5170", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:45:09.0675107Z AUTOTUNE mm(8x3072, 3072x768) 2025-09-07T10:45:09.0675366Z strides: [3072, 1], [768, 1] 2025-09-07T10:45:09.0675613Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:09.0675902Z mm 0.0130 ms 100.0% 2025-09-07T10:45:09.0676513Z triton_mm_5170 0.0144 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:09.0677504Z triton_mm_5166 0.0155 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:45:09.0678488Z triton_mm_5174 0.0161 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:45:09.0679491Z triton_mm_5178 0.0200 ms 65.1% 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 2025-09-07T10:45:09.0680652Z triton_mm_5165 0.0214 ms 60.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:45:09.0681560Z triton_mm_5164 0.0219 ms 59.6% 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 2025-09-07T10:45:09.0682463Z triton_mm_5169 0.0241 ms 54.1% 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 2025-09-07T10:45:09.0683357Z triton_mm_5176 0.0264 ms 49.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:45:09.0684271Z triton_mm_5173 0.0265 ms 49.2% 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 2025-09-07T10:45:09.0685060Z SingleProcess AUTOTUNE benchmarking takes 0.2257 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:45:09.2452354Z Autotune Choices Stats: 2025-09-07T10:45:09.2453366Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_5199", "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": 0.007807999849319458, "best_triton_pos": 0} 2025-09-07T10:45:09.2499123Z AUTOTUNE mm(8x768, 768x768) 2025-09-07T10:45:09.2499408Z strides: [768, 1], [768, 1] 2025-09-07T10:45:09.2499677Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:09.2501083Z triton_mm_5199 0.0078 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:45:09.2501718Z mm 0.0081 ms 96.8% 2025-09-07T10:45:09.2502285Z triton_mm_5203 0.0082 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:09.2503634Z triton_mm_5211 0.0093 ms 83.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:09.2504627Z triton_mm_5197 0.0096 ms 81.6% 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 2025-09-07T10:45:09.2505568Z triton_mm_5198 0.0097 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:45:09.2506525Z triton_mm_5207 0.0098 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:45:09.2507475Z triton_mm_5202 0.0103 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.2508417Z triton_mm_5206 0.0106 ms 73.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.2509386Z triton_mm_5209 0.0108 ms 72.6% 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=4, num_warps=4 2025-09-07T10:45:09.2510502Z SingleProcess AUTOTUNE benchmarking takes 0.1806 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:45:09.4763367Z Autotune Choices Stats: 2025-09-07T10:45:09.4764635Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.015456000342965126, "best_triton_pos": 1, "best_triton_time": 0.016127999871969223, "best_triton_kernel": "triton_mm_5245", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:45:09.4809907Z AUTOTUNE mm(4616x768, 768x768) 2025-09-07T10:45:09.4810415Z strides: [768, 1], [768, 1] 2025-09-07T10:45:09.4810711Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:09.4810990Z mm 0.0155 ms 100.0% 2025-09-07T10:45:09.4811600Z triton_mm_5245 0.0161 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 2025-09-07T10:45:09.4812618Z triton_mm_5237 0.0182 ms 84.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.4813627Z triton_mm_5244 0.0186 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 2025-09-07T10:45:09.4814602Z triton_mm_5239 0.0187 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.4815571Z triton_mm_5246 0.0192 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:09.4816542Z triton_mm_5241 0.0197 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.4817857Z triton_mm_5238 0.0203 ms 76.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:09.4818830Z triton_mm_5235 0.0229 ms 67.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:09.4819878Z triton_mm_5242 0.0230 ms 67.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:09.4821095Z SingleProcess AUTOTUNE benchmarking takes 0.2304 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:45:09.8572119Z Autotune Choices Stats: 2025-09-07T10:45:09.8573349Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.037728000432252884, "best_triton_pos": 1, "best_triton_time": 0.042399998754262924, "best_triton_kernel": "triton_mm_5600", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:45:09.8618792Z AUTOTUNE mm(4608x3072, 3072x768) 2025-09-07T10:45:09.8619086Z strides: [3072, 1], [768, 1] 2025-09-07T10:45:09.8619362Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:09.8619641Z mm 0.0377 ms 100.0% 2025-09-07T10:45:09.8620551Z triton_mm_5600 0.0424 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.8621561Z triton_mm_5601 0.0470 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:09.8622536Z triton_mm_5592 0.0540 ms 69.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.8623608Z triton_mm_5594 0.0550 ms 68.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.8624578Z triton_mm_5599 0.0553 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.8625567Z triton_mm_5595 0.0565 ms 66.7% 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 2025-09-07T10:45:09.8626527Z triton_mm_5596 0.0577 ms 65.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:09.8627488Z triton_mm_5593 0.0604 ms 62.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:09.8628456Z triton_mm_5590 0.0651 ms 58.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:09.8629294Z SingleProcess AUTOTUNE benchmarking takes 0.3616 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:45:10.0909096Z Autotune Choices Stats: 2025-09-07T10:45:10.0910570Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_5638", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:45:10.0956158Z AUTOTUNE mm(4608x768, 768x768) 2025-09-07T10:45:10.0956415Z strides: [768, 1], [768, 1] 2025-09-07T10:45:10.0956669Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:10.0957717Z triton_mm_5638 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.0958381Z mm 0.0167 ms 98.1% 2025-09-07T10:45:10.0958974Z triton_mm_5630 0.0185 ms 88.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.0960339Z triton_mm_5637 0.0189 ms 86.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.0961316Z triton_mm_5632 0.0193 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.0962222Z triton_mm_5639 0.0194 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=5, num_warps=8 2025-09-07T10:45:10.0963134Z triton_mm_5634 0.0200 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.0964058Z triton_mm_5631 0.0201 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:10.0964978Z triton_mm_5628 0.0228 ms 71.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:10.0965887Z triton_mm_5635 0.0231 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:10.0966680Z SingleProcess AUTOTUNE benchmarking takes 0.2309 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:45:10.3577766Z Autotune Choices Stats: 2025-09-07T10:45:10.3578755Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_5675", "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": 0.047488000243902206, "best_triton_pos": 0} 2025-09-07T10:45:10.3626169Z AUTOTUNE bmm(128x576x576, 128x576x48) 2025-09-07T10:45:10.3626481Z strides: [331776, 1, 576], [27648, 48, 1] 2025-09-07T10:45:10.3626771Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:10.3627462Z triton_bmm_5675 0.0475 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.3628115Z bmm 0.0484 ms 98.0% 2025-09-07T10:45:10.3628699Z triton_bmm_5669 0.0485 ms 97.9% 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 2025-09-07T10:45:10.3629716Z triton_bmm_5670 0.0488 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=4 2025-09-07T10:45:10.3630957Z triton_bmm_5676 0.0490 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:10.3631957Z triton_bmm_5666 0.0494 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:10.3632937Z triton_bmm_5672 0.0497 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.3633921Z triton_bmm_5673 0.0498 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:10.3635104Z triton_bmm_5668 0.0501 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.3636089Z triton_bmm_5667 0.0522 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:10.3637097Z SingleProcess AUTOTUNE benchmarking takes 0.2664 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:45:10.6505784Z Autotune Choices Stats: 2025-09-07T10:45:10.6507003Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "bmm", "best_time": 0.042367998510599136, "best_triton_pos": 1, "best_triton_time": 0.044415999203920364, "best_triton_kernel": "triton_bmm_5693", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:45:10.6554105Z AUTOTUNE bmm(128x576x48, 128x48x576) 2025-09-07T10:45:10.6554392Z strides: [27648, 48, 1], [27648, 1, 48] 2025-09-07T10:45:10.6554666Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:10.6554922Z bmm 0.0424 ms 100.0% 2025-09-07T10:45:10.6555542Z triton_bmm_5693 0.0444 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.6556555Z triton_bmm_5686 0.0449 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.6557533Z triton_bmm_5690 0.0449 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.6558523Z triton_bmm_5691 0.0500 ms 84.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:10.6559503Z triton_bmm_5689 0.0519 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:45:10.6560800Z triton_bmm_5687 0.0519 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:10.6561790Z triton_bmm_5688 0.0520 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.6562768Z triton_bmm_5685 0.0529 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:10.6563755Z triton_bmm_5695 0.0538 ms 78.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:10.6564609Z SingleProcess AUTOTUNE benchmarking takes 0.2923 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:45:10.8511703Z Autotune Choices Stats: 2025-09-07T10:45:10.8512661Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_5714", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.06124800071120262, "best_triton_pos": 0} 2025-09-07T10:45:10.8563335Z AUTOTUNE mm(2654208x16, 16x16) 2025-09-07T10:45:10.8563606Z strides: [16, 1], [16, 1] 2025-09-07T10:45:10.8563849Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:10.8564503Z triton_mm_5714 0.0612 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.8565765Z triton_mm_5707 0.0614 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:45:10.8566707Z triton_mm_5709 0.0614 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:45:10.8567824Z triton_mm_5708 0.0615 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:45:10.8568754Z triton_mm_5713 0.0629 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:45:10.8569678Z triton_mm_5712 0.0630 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:10.8571030Z triton_mm_5710 0.0630 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:10.8571923Z triton_mm_5711 0.0631 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:45:10.8572810Z triton_mm_5717 0.0647 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:10.8573704Z triton_mm_5715 0.0647 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:10.8574488Z SingleProcess AUTOTUNE benchmarking takes 0.1829 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:45:11.1186606Z Autotune Choices Stats: 2025-09-07T10:45:11.1187628Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_5751", "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": 0.047168001532554626, "best_triton_pos": 0} 2025-09-07T10:45:11.1236567Z AUTOTUNE bmm(128x48x576, 128x576x576) 2025-09-07T10:45:11.1236860Z strides: [27648, 1, 48], [331776, 576, 1] 2025-09-07T10:45:11.1237131Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:11.1237804Z triton_bmm_5751 0.0472 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:11.1238460Z bmm 0.0482 ms 97.9% 2025-09-07T10:45:11.1239039Z triton_bmm_5754 0.0486 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:11.1240019Z triton_bmm_5756 0.0492 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:11.1241260Z triton_bmm_5747 0.0496 ms 95.2% 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 2025-09-07T10:45:11.1242176Z triton_bmm_5749 0.0496 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:11.1243094Z triton_bmm_5752 0.0498 ms 94.7% 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 2025-09-07T10:45:11.1244266Z triton_bmm_5750 0.0500 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:11.1245173Z triton_bmm_5753 0.0504 ms 93.5% 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=3, num_warps=4 2025-09-07T10:45:11.1246267Z triton_bmm_5748 0.0524 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:45:11.1247073Z SingleProcess AUTOTUNE benchmarking takes 0.2551 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:45:11.3922085Z Autotune Choices Stats: 2025-09-07T10:45:11.3923075Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_5773", "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": 0.04700800031423569, "best_triton_pos": 0} 2025-09-07T10:45:11.3973616Z AUTOTUNE bmm(128x576x576, 128x576x48) 2025-09-07T10:45:11.3973904Z strides: [331776, 576, 1], [27648, 1, 576] 2025-09-07T10:45:11.3974202Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:11.3974870Z triton_bmm_5773 0.0470 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:11.3975502Z bmm 0.0482 ms 97.5% 2025-09-07T10:45:11.3976092Z triton_bmm_5768 0.0484 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:11.3977073Z triton_bmm_5774 0.0494 ms 95.1% 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 2025-09-07T10:45:11.3978049Z triton_bmm_5764 0.0495 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:11.3979044Z triton_bmm_5765 0.0518 ms 90.7% 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 2025-09-07T10:45:11.3980054Z triton_bmm_5769 0.0528 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:45:11.3981337Z triton_bmm_5767 0.0540 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:11.3982240Z triton_bmm_5766 0.0562 ms 83.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:11.3983233Z triton_bmm_5771 0.0562 ms 83.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:11.3984036Z SingleProcess AUTOTUNE benchmarking takes 0.2732 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:45:11.7150769Z Autotune Choices Stats: 2025-09-07T10:45:11.7152009Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.03014400042593479, "best_triton_pos": 1, "best_triton_time": 0.03420799970626831, "best_triton_kernel": "triton_mm_5792", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:45:11.7199931Z AUTOTUNE mm(4608x2304, 2304x768) 2025-09-07T10:45:11.7200349Z strides: [2304, 1], [768, 1] 2025-09-07T10:45:11.7201010Z dtypes: torch.float16, torch.float16 2025-09-07T10:45:11.7201326Z mm 0.0301 ms 100.0% 2025-09-07T10:45:11.7201960Z triton_mm_5792 0.0342 ms 88.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:11.7202988Z triton_mm_5793 0.0377 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:45:11.7204174Z triton_mm_5786 0.0423 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 2025-09-07T10:45:11.7205136Z triton_mm_5784 0.0434 ms 69.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:11.7206091Z triton_mm_5791 0.0451 ms 66.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:11.7207059Z triton_mm_5788 0.0456 ms 66.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:45:11.7208010Z triton_mm_5787 0.0457 ms 66.0% 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 2025-09-07T10:45:11.7208959Z triton_mm_5785 0.0461 ms 65.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:45:11.7209906Z triton_mm_5782 0.0506 ms 59.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:45:11.7210994Z SingleProcess AUTOTUNE benchmarking takes 0.3221 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:45:40.1119200Z pass 2025-09-07T10:45:49.0973961Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:45:49.0975249Z import pynvml # type: ignore[import] 2025-09-07T10:45:52.1105162Z 2025-09-07T10:45:53.3268930Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:45:53.3269326Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:45:53.3269641Z cuda train coat_lite_mini 2025-09-07T10:46:16.1608928Z Autotune Choices Stats: 2025-09-07T10:46:16.1610751Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.018719999119639397, "best_triton_pos": 1, "best_triton_time": 0.019392000511288643, "best_triton_kernel": "triton_mm_76", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:46:16.1660443Z AUTOTUNE addmm(25096x512, 25096x64, 64x512) 2025-09-07T10:46:16.1660744Z strides: [0, 1], [64, 1], [1, 64] 2025-09-07T10:46:16.1661048Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:16.1661370Z bias_addmm 0.0187 ms 100.0% 2025-09-07T10:46:16.1661992Z triton_mm_76 0.0194 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:16.1663075Z triton_mm_77 0.0194 ms 96.5% 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=4, num_warps=4 2025-09-07T10:46:16.1664034Z triton_mm_83 0.0195 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:16.1665726Z triton_mm_73 0.0198 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:16.1666671Z triton_mm_78 0.0210 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:16.1667947Z triton_mm_82 0.0210 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:16.1669053Z triton_mm_74 0.0210 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:16.1670061Z triton_mm_81 0.0216 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:16.1671210Z triton_mm_79 0.0216 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:16.1672066Z SingleProcess AUTOTUNE benchmarking takes 0.2765 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:46:16.7371986Z Autotune Choices Stats: 2025-09-07T10:46:16.7373326Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.013632000423967838, "best_triton_pos": 1, "best_triton_time": 0.015552000142633915, "best_triton_kernel": "triton_mm_276", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:46:16.7426658Z AUTOTUNE addmm(6280x1024, 6280x128, 128x1024) 2025-09-07T10:46:16.7426992Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T10:46:16.7427301Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:16.7427635Z bias_addmm 0.0136 ms 100.0% 2025-09-07T10:46:16.7428255Z triton_mm_276 0.0156 ms 87.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:16.7429390Z triton_mm_274 0.0157 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:16.7430551Z triton_mm_278 0.0158 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=3, num_warps=4 2025-09-07T10:46:16.7431534Z triton_mm_281 0.0160 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:16.7432517Z triton_mm_282 0.0160 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:16.7433488Z triton_mm_277 0.0162 ms 84.4% 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 2025-09-07T10:46:16.7434463Z triton_mm_275 0.0164 ms 83.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:16.7435429Z triton_mm_279 0.0166 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:16.7436392Z triton_mm_271 0.0168 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:16.7437729Z SingleProcess AUTOTUNE benchmarking takes 0.2770 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:46:17.2858754Z Autotune Choices Stats: 2025-09-07T10:46:17.2859812Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_490", "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": 0.010912000201642513, "best_triton_pos": 0} 2025-09-07T10:46:17.2912701Z AUTOTUNE addmm(1576x1280, 1576x320, 320x1280) 2025-09-07T10:46:17.2913031Z strides: [0, 1], [320, 1], [1, 320] 2025-09-07T10:46:17.2913328Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:17.2914018Z triton_mm_490 0.0109 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:17.2914670Z bias_addmm 0.0112 ms 97.4% 2025-09-07T10:46:17.2915260Z triton_mm_486 0.0114 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:17.2916243Z triton_mm_489 0.0114 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:17.2917221Z triton_mm_493 0.0115 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:17.2918192Z triton_mm_496 0.0116 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:17.2919191Z triton_mm_497 0.0116 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 2025-09-07T10:46:17.2920180Z triton_mm_488 0.0118 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:17.2921284Z triton_mm_492 0.0119 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:17.2922199Z triton_mm_495 0.0127 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:17.2922990Z SingleProcess AUTOTUNE benchmarking takes 0.2774 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:46:17.8338392Z Autotune Choices Stats: 2025-09-07T10:46:17.8339498Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_713", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.009983999654650688, "best_triton_pos": 0} 2025-09-07T10:46:17.8395081Z AUTOTUNE addmm(400x2048, 400x512, 512x2048) 2025-09-07T10:46:17.8395387Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:46:17.8395681Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:17.8396376Z triton_mm_713 0.0100 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:17.8397031Z bias_addmm 0.0104 ms 96.3% 2025-09-07T10:46:17.8397630Z triton_mm_708 0.0108 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:17.8398592Z triton_mm_712 0.0111 ms 89.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:17.8400135Z triton_mm_719 0.0117 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:17.8401211Z triton_mm_711 0.0119 ms 83.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:17.8402348Z triton_mm_715 0.0120 ms 83.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:17.8403243Z triton_mm_718 0.0120 ms 83.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:17.8404136Z triton_mm_709 0.0121 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:17.8405031Z triton_mm_714 0.0128 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:17.8405810Z SingleProcess AUTOTUNE benchmarking takes 0.2773 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:46:19.6138108Z Autotune Choices Stats: 2025-09-07T10:46:19.6139560Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_0", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.014944000169634819, "best_triton_pos": 0} 2025-09-07T10:46:19.6195711Z AUTOTUNE convolution(8x3x224x224, 64x3x4x4) 2025-09-07T10:46:19.6196073Z strides: [150528, 1, 672, 3], [48, 1, 12, 3] 2025-09-07T10:46:19.6196429Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:19.6197342Z triton_convolution2d_0 0.0149 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:19.6198807Z triton_convolution2d_4 0.0154 ms 96.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:19.6199692Z convolution 0.0160 ms 93.6% 2025-09-07T10:46:19.6200677Z triton_convolution2d_3 0.0163 ms 91.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:19.6202135Z triton_convolution2d_5 0.0194 ms 77.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:19.6203594Z triton_convolution2d_2 0.0226 ms 66.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:46:19.6205058Z triton_convolution2d_1 0.0546 ms 27.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:19.6206221Z SingleProcess AUTOTUNE benchmarking takes 0.1006 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:46:19.8837284Z Autotune Choices Stats: 2025-09-07T10:46:19.8838436Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_23", "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": 0.012223999947309494, "best_triton_pos": 0} 2025-09-07T10:46:19.8900556Z AUTOTUNE addmm(25096x192, 25096x64, 64x192) 2025-09-07T10:46:19.8901059Z strides: [0, 1], [64, 1], [1, 64] 2025-09-07T10:46:19.8901535Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:19.8902660Z triton_mm_23 0.0122 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:19.8904704Z triton_mm_14 0.0128 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:19.8906307Z triton_mm_13 0.0130 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:19.8907314Z bias_addmm 0.0132 ms 92.5% 2025-09-07T10:46:19.8908275Z triton_mm_17 0.0134 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:19.8910025Z triton_mm_18 0.0134 ms 91.2% 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=4, num_warps=4 2025-09-07T10:46:19.8911615Z triton_mm_12 0.0135 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:19.8912772Z triton_mm_19 0.0136 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:19.8913931Z triton_mm_20 0.0136 ms 89.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:19.8915095Z triton_mm_15 0.0137 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:19.8916117Z SingleProcess AUTOTUNE benchmarking takes 0.2698 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:46:20.0792600Z Autotune Choices Stats: 2025-09-07T10:46:20.0793755Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_26", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.031231999397277832, "best_triton_pos": 0} 2025-09-07T10:46:20.0856080Z AUTOTUNE bmm(64x8x3137, 64x3137x8) 2025-09-07T10:46:20.0856556Z strides: [25096, 3137, 1], [25096, 8, 1] 2025-09-07T10:46:20.0857013Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:20.0858081Z triton_bmm_26 0.0312 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:46:20.0859757Z triton_bmm_34 0.0314 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:46:20.0861659Z triton_bmm_28 0.0316 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:46:20.0862398Z bmm 0.0320 ms 97.5% 2025-09-07T10:46:20.0863129Z triton_bmm_31 0.0438 ms 71.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:46:20.0864297Z triton_bmm_35 0.0440 ms 70.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:46:20.0865651Z triton_bmm_30 0.0678 ms 46.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:46:20.0866818Z triton_bmm_32 0.0687 ms 45.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:46:20.0868118Z triton_bmm_33 0.0687 ms 45.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:46:20.0869276Z triton_bmm_27 0.0689 ms 45.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:46:20.0870419Z SingleProcess AUTOTUNE benchmarking takes 0.1948 seconds and 0.0003 seconds precompiling for 12 choices 2025-09-07T10:46:20.2344203Z Autotune Choices Stats: 2025-09-07T10:46:20.2346136Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_45", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8", "best_time": 0.008799999952316284, "best_triton_pos": 0} 2025-09-07T10:46:20.2406018Z AUTOTUNE bmm(64x3137x8, 64x8x8) 2025-09-07T10:46:20.2406350Z strides: [25096, 8, 1], [64, 8, 1] 2025-09-07T10:46:20.2406714Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:20.2407584Z triton_bmm_45 0.0088 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:46:20.2408911Z triton_bmm_39 0.0091 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:20.2410516Z triton_bmm_41 0.0092 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:20.2411845Z triton_bmm_42 0.0092 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:20.2413138Z triton_bmm_46 0.0092 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:20.2414444Z triton_bmm_40 0.0092 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:20.2415741Z triton_bmm_44 0.0093 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:20.2417064Z triton_bmm_43 0.0094 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:20.2418364Z triton_bmm_37 0.0098 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:46:20.2419659Z triton_bmm_38 0.0099 ms 88.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:46:20.2420789Z SingleProcess AUTOTUNE benchmarking takes 0.1544 seconds and 0.0003 seconds precompiling for 12 choices 2025-09-07T10:46:20.4943578Z Autotune Choices Stats: 2025-09-07T10:46:20.4945117Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_55", "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=5, num_warps=4", "best_time": 0.008895999751985073, "best_triton_pos": 0} 2025-09-07T10:46:20.5006738Z AUTOTUNE addmm(25096x64, 25096x64, 64x64) 2025-09-07T10:46:20.5007246Z strides: [0, 1], [64, 1], [1, 64] 2025-09-07T10:46:20.5007724Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:20.5008799Z triton_mm_55 0.0089 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:20.5011101Z triton_mm_58 0.0091 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:20.5012292Z triton_mm_57 0.0091 ms 97.5% 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 2025-09-07T10:46:20.5013436Z triton_mm_51 0.0092 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:20.5014576Z triton_mm_59 0.0092 ms 96.9% 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=4, num_warps=4 2025-09-07T10:46:20.5015710Z triton_mm_54 0.0092 ms 96.2% 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 2025-09-07T10:46:20.5016871Z triton_mm_64 0.0092 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:20.5018013Z triton_mm_56 0.0093 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:20.5019156Z triton_mm_63 0.0093 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:20.5020434Z triton_mm_53 0.0095 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:20.5021212Z SingleProcess AUTOTUNE benchmarking takes 0.2593 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:46:20.7253844Z Autotune Choices Stats: 2025-09-07T10:46:20.7255430Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_95", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.01913600042462349, "best_triton_pos": 0} 2025-09-07T10:46:20.7318817Z AUTOTUNE mm(25096x512, 512x64) 2025-09-07T10:46:20.7319154Z strides: [512, 1], [1, 512] 2025-09-07T10:46:20.7319485Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:20.7321098Z triton_mm_95 0.0191 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:20.7322784Z triton_mm_91 0.0195 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:20.7324394Z triton_mm_100 0.0198 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:20.7325365Z mm 0.0200 ms 95.8% 2025-09-07T10:46:20.7326261Z triton_mm_92 0.0208 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:20.7327740Z triton_mm_96 0.0210 ms 91.0% 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 2025-09-07T10:46:20.7329596Z triton_mm_101 0.0211 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:20.7331512Z triton_mm_85 0.0225 ms 85.2% 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 2025-09-07T10:46:20.7332794Z triton_mm_98 0.0227 ms 84.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:20.7333938Z triton_mm_94 0.0229 ms 83.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:20.7334938Z SingleProcess AUTOTUNE benchmarking takes 0.2306 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:20.8431990Z Autotune Choices Stats: 2025-09-07T10:46:20.8433605Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.012319999746978283, "best_triton_pos": 1, "best_triton_time": 0.012319999746978283, "best_triton_kernel": "triton_convolution2d_202", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:46:20.8496335Z AUTOTUNE convolution(8x64x56x56, 128x64x2x2) 2025-09-07T10:46:20.8496843Z strides: [200704, 1, 3584, 64], [256, 1, 128, 64] 2025-09-07T10:46:20.8497322Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:20.8497740Z convolution 0.0123 ms 100.0% 2025-09-07T10:46:20.8498897Z triton_convolution2d_202 0.0123 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:20.8501408Z triton_convolution2d_203 0.0130 ms 95.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:20.8502951Z triton_convolution2d_201 0.0140 ms 87.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:20.8504440Z triton_convolution2d_204 0.0140 ms 87.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:20.8505920Z triton_convolution2d_198 0.0153 ms 80.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:20.8507391Z triton_convolution2d_199 0.0180 ms 68.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:20.8508867Z triton_convolution2d_200 0.0295 ms 41.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:46:20.8510040Z SingleProcess AUTOTUNE benchmarking takes 0.1079 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:46:21.1168528Z Autotune Choices Stats: 2025-09-07T10:46:21.1169823Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.009855999611318111, "best_triton_pos": 1, "best_triton_time": 0.01027199998497963, "best_triton_kernel": "triton_mm_214", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:46:21.1229435Z AUTOTUNE addmm(6280x384, 6280x128, 128x384) 2025-09-07T10:46:21.1229731Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T10:46:21.1230072Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:21.1230600Z bias_addmm 0.0099 ms 100.0% 2025-09-07T10:46:21.1231443Z triton_mm_214 0.0103 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.1232468Z triton_mm_218 0.0105 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.1233430Z triton_mm_211 0.0106 ms 92.8% 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 2025-09-07T10:46:21.1234387Z triton_mm_213 0.0106 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:21.1235359Z triton_mm_216 0.0106 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.1236318Z triton_mm_215 0.0109 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:21.1237279Z triton_mm_217 0.0109 ms 90.3% 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 2025-09-07T10:46:21.1238241Z triton_mm_219 0.0109 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:21.1239208Z triton_mm_221 0.0110 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.1240053Z SingleProcess AUTOTUNE benchmarking takes 0.2720 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:46:21.2667156Z Autotune Choices Stats: 2025-09-07T10:46:21.2668118Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_225", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.014751999638974667, "best_triton_pos": 0} 2025-09-07T10:46:21.2726614Z AUTOTUNE bmm(64x16x785, 64x785x16) 2025-09-07T10:46:21.2726885Z strides: [12560, 785, 1], [12560, 16, 1] 2025-09-07T10:46:21.2727176Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:21.2727859Z triton_bmm_225 0.0148 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:46:21.2728858Z triton_bmm_233 0.0149 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:46:21.2729472Z bmm 0.0150 ms 98.3% 2025-09-07T10:46:21.2730072Z triton_bmm_227 0.0150 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:46:21.2731343Z triton_bmm_230 0.0172 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:46:21.2732243Z triton_bmm_234 0.0173 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:46:21.2733389Z triton_bmm_226 0.0226 ms 65.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:46:21.2734278Z triton_bmm_231 0.0227 ms 65.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:46:21.2735350Z triton_bmm_232 0.0229 ms 64.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:46:21.2736251Z triton_bmm_229 0.0229 ms 64.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:46:21.2737042Z SingleProcess AUTOTUNE benchmarking takes 0.1487 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:46:21.4152012Z Autotune Choices Stats: 2025-09-07T10:46:21.4153081Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_242", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:46:21.4209668Z AUTOTUNE bmm(64x785x16, 64x16x16) 2025-09-07T10:46:21.4210642Z strides: [12560, 16, 1], [256, 16, 1] 2025-09-07T10:46:21.4211155Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:21.4211875Z triton_bmm_242 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.4212876Z triton_bmm_235 0.0072 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:46:21.4213872Z triton_bmm_238 0.0072 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:21.4214842Z triton_bmm_240 0.0072 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.4215820Z triton_bmm_241 0.0073 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:21.4216799Z triton_bmm_245 0.0074 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:21.4217768Z triton_bmm_237 0.0075 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:46:21.4218754Z triton_bmm_239 0.0075 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:21.4219720Z triton_bmm_236 0.0075 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:46:21.4220864Z triton_bmm_244 0.0075 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:46:21.4221683Z SingleProcess AUTOTUNE benchmarking takes 0.1477 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:46:21.6829395Z Autotune Choices Stats: 2025-09-07T10:46:21.6830627Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_254", "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": 0.008415999822318554, "best_triton_pos": 0} 2025-09-07T10:46:21.6886407Z AUTOTUNE addmm(6280x128, 6280x128, 128x128) 2025-09-07T10:46:21.6886691Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T10:46:21.6886976Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:21.6887619Z triton_mm_254 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 2025-09-07T10:46:21.6888805Z triton_mm_257 0.0086 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.6889778Z triton_mm_258 0.0086 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 2025-09-07T10:46:21.6890523Z bias_addmm 0.0086 ms 97.4% 2025-09-07T10:46:21.6891085Z triton_mm_260 0.0087 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:21.6891997Z triton_mm_253 0.0088 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:21.6892893Z triton_mm_256 0.0088 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:21.6893784Z triton_mm_259 0.0089 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.6894677Z triton_mm_255 0.0089 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.6895571Z triton_mm_247 0.0091 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:21.6896367Z SingleProcess AUTOTUNE benchmarking takes 0.2671 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:46:21.9273310Z Autotune Choices Stats: 2025-09-07T10:46:21.9274285Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_296", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.013376000337302685, "best_triton_pos": 0} 2025-09-07T10:46:21.9330767Z AUTOTUNE mm(6280x1024, 1024x128) 2025-09-07T10:46:21.9331175Z strides: [1024, 1], [1, 1024] 2025-09-07T10:46:21.9331571Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:21.9332557Z triton_mm_296 0.0134 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:21.9333473Z mm 0.0138 ms 97.2% 2025-09-07T10:46:21.9334322Z triton_mm_302 0.0152 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 2025-09-07T10:46:21.9335783Z triton_mm_292 0.0156 ms 85.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:21.9337188Z triton_mm_291 0.0157 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:21.9338588Z triton_mm_295 0.0159 ms 83.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.9340964Z triton_mm_301 0.0169 ms 79.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.9341939Z triton_mm_288 0.0180 ms 74.1% 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 2025-09-07T10:46:21.9343078Z triton_mm_285 0.0182 ms 73.5% 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 2025-09-07T10:46:21.9344003Z triton_mm_298 0.0184 ms 72.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:21.9344783Z SingleProcess AUTOTUNE benchmarking takes 0.2438 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:22.0572443Z Autotune Choices Stats: 2025-09-07T10:46:22.0573823Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013248000293970108, "best_triton_pos": 1, "best_triton_time": 0.01616000011563301, "best_triton_kernel": "triton_convolution2d_405", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:46:22.0636537Z AUTOTUNE convolution(8x128x28x28, 320x128x2x2) 2025-09-07T10:46:22.0636872Z strides: [100352, 1, 3584, 128], [512, 1, 256, 128] 2025-09-07T10:46:22.0637179Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:22.0637458Z convolution 0.0132 ms 100.0% 2025-09-07T10:46:22.0638197Z triton_convolution2d_405 0.0162 ms 82.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:22.0639433Z triton_convolution2d_406 0.0202 ms 65.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:22.0640943Z triton_convolution2d_407 0.0207 ms 63.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:22.0642134Z triton_convolution2d_404 0.0224 ms 59.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:22.0643287Z triton_convolution2d_401 0.0324 ms 40.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:22.0644420Z triton_convolution2d_402 0.0328 ms 40.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:22.0645558Z triton_convolution2d_403 0.0518 ms 25.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:46:22.0646460Z SingleProcess AUTOTUNE benchmarking takes 0.1205 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:46:22.3281209Z Autotune Choices Stats: 2025-09-07T10:46:22.3282579Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.010048000141978264, "best_triton_pos": 1, "best_triton_time": 0.010495999827980995, "best_triton_kernel": "triton_mm_415", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8"} 2025-09-07T10:46:22.3340707Z AUTOTUNE addmm(1576x960, 1576x320, 320x960) 2025-09-07T10:46:22.3341021Z strides: [0, 1], [320, 1], [1, 320] 2025-09-07T10:46:22.3341322Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:22.3341654Z bias_addmm 0.0100 ms 100.0% 2025-09-07T10:46:22.3342266Z triton_mm_415 0.0105 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:22.3343649Z triton_mm_419 0.0107 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.3344635Z triton_mm_426 0.0111 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:22.3345637Z triton_mm_422 0.0111 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:22.3346595Z triton_mm_425 0.0112 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.3347557Z triton_mm_418 0.0114 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:22.3348510Z triton_mm_417 0.0117 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.3349477Z triton_mm_421 0.0118 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=3, num_warps=4 2025-09-07T10:46:22.3350712Z triton_mm_424 0.0124 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.3351635Z SingleProcess AUTOTUNE benchmarking takes 0.2691 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:46:22.5202643Z Autotune Choices Stats: 2025-09-07T10:46:22.5203725Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_428", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009184000082314014, "best_triton_pos": 0} 2025-09-07T10:46:22.5263156Z AUTOTUNE bmm(64x40x197, 64x197x40) 2025-09-07T10:46:22.5263436Z strides: [7880, 197, 1], [7880, 40, 1] 2025-09-07T10:46:22.5263716Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:22.5264382Z triton_bmm_428 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:22.5265381Z triton_bmm_435 0.0098 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:22.5266373Z triton_bmm_439 0.0099 ms 92.9% 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=4, num_warps=4 2025-09-07T10:46:22.5267356Z triton_bmm_434 0.0102 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:22.5268313Z triton_bmm_438 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.5269648Z triton_bmm_441 0.0111 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:22.5271087Z triton_bmm_430 0.0112 ms 82.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:22.5271705Z bmm 0.0113 ms 81.5% 2025-09-07T10:46:22.5272531Z triton_bmm_429 0.0113 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:22.5273552Z triton_bmm_437 0.0116 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:22.5274411Z SingleProcess AUTOTUNE benchmarking takes 0.1913 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:46:22.7545446Z Autotune Choices Stats: 2025-09-07T10:46:22.7546443Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_450", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.007296000141650438, "best_triton_pos": 0} 2025-09-07T10:46:22.7610699Z AUTOTUNE bmm(64x197x40, 64x40x40) 2025-09-07T10:46:22.7610971Z strides: [7880, 40, 1], [1600, 40, 1] 2025-09-07T10:46:22.7611261Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:22.7611932Z triton_bmm_450 0.0073 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:22.7612934Z triton_bmm_453 0.0073 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.7613903Z triton_bmm_454 0.0073 ms 99.6% 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=4, num_warps=4 2025-09-07T10:46:22.7614852Z triton_bmm_449 0.0074 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:22.7615821Z triton_bmm_458 0.0074 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.7616802Z triton_bmm_459 0.0075 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:22.7617764Z triton_bmm_455 0.0077 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.7618723Z triton_bmm_451 0.0077 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.7619672Z triton_bmm_452 0.0077 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:22.7620860Z triton_bmm_456 0.0077 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:22.7621671Z SingleProcess AUTOTUNE benchmarking takes 0.2341 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:46:23.0244980Z Autotune Choices Stats: 2025-09-07T10:46:23.0246000Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_468", "best_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", "best_time": 0.008576000109314919, "best_triton_pos": 0} 2025-09-07T10:46:23.0303400Z AUTOTUNE addmm(1576x320, 1576x320, 320x320) 2025-09-07T10:46:23.0303705Z strides: [0, 1], [320, 1], [1, 320] 2025-09-07T10:46:23.0304019Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:23.0304742Z triton_mm_468 0.0086 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:23.0305677Z bias_addmm 0.0089 ms 96.4% 2025-09-07T10:46:23.0306281Z triton_mm_467 0.0090 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:23.0307242Z triton_mm_471 0.0092 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:23.0308213Z triton_mm_474 0.0095 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:23.0309168Z triton_mm_463 0.0096 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:23.0310126Z triton_mm_472 0.0096 ms 89.3% 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 2025-09-07T10:46:23.0311456Z triton_mm_470 0.0098 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:23.0312419Z triton_mm_462 0.0100 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:23.0313393Z triton_mm_461 0.0103 ms 83.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:23.0314253Z SingleProcess AUTOTUNE benchmarking takes 0.2687 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:46:23.2671479Z Autotune Choices Stats: 2025-09-07T10:46:23.2672519Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_506", "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": 0.010816000401973724, "best_triton_pos": 0} 2025-09-07T10:46:23.2729495Z AUTOTUNE mm(1576x1280, 1280x320) 2025-09-07T10:46:23.2729774Z strides: [1280, 1], [1, 1280] 2025-09-07T10:46:23.2730073Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:23.2730953Z triton_mm_506 0.0108 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:23.2731593Z mm 0.0111 ms 97.7% 2025-09-07T10:46:23.2732169Z triton_mm_510 0.0123 ms 87.8% 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 2025-09-07T10:46:23.2733125Z triton_mm_502 0.0139 ms 77.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:23.2734073Z triton_mm_516 0.0141 ms 76.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:23.2735014Z triton_mm_505 0.0144 ms 75.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:23.2736489Z triton_mm_509 0.0151 ms 71.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:23.2737436Z triton_mm_501 0.0161 ms 67.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:23.2738581Z triton_mm_499 0.0166 ms 65.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:23.2739579Z triton_mm_508 0.0169 ms 64.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:23.2740646Z SingleProcess AUTOTUNE benchmarking takes 0.2420 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:23.3988753Z Autotune Choices Stats: 2025-09-07T10:46:23.3990146Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.012671999633312225, "best_triton_pos": 1, "best_triton_time": 0.03372799977660179, "best_triton_kernel": "triton_convolution2d_630", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:46:23.4049681Z AUTOTUNE convolution(8x320x14x14, 512x320x2x2) 2025-09-07T10:46:23.4050039Z strides: [62720, 1, 4480, 320], [1280, 1, 640, 320] 2025-09-07T10:46:23.4050521Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:23.4050805Z convolution 0.0127 ms 100.0% 2025-09-07T10:46:23.4051581Z triton_convolution2d_630 0.0337 ms 37.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:23.4052836Z triton_convolution2d_629 0.0411 ms 30.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:23.4054048Z triton_convolution2d_632 0.0417 ms 30.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:23.4055255Z triton_convolution2d_631 0.0431 ms 29.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:23.4056457Z triton_convolution2d_626 0.0580 ms 21.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:23.4057663Z triton_convolution2d_627 0.0580 ms 21.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:23.4058879Z triton_convolution2d_628 0.0853 ms 14.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:46:23.4059867Z SingleProcess AUTOTUNE benchmarking takes 0.1214 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:46:23.6699787Z Autotune Choices Stats: 2025-09-07T10:46:23.6701535Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.00940799992531538, "best_triton_pos": 1, "best_triton_time": 0.009983999654650688, "best_triton_kernel": "triton_mm_645", "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"} 2025-09-07T10:46:23.6760986Z AUTOTUNE addmm(400x1536, 400x512, 512x1536) 2025-09-07T10:46:23.6761356Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:46:23.6761745Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:23.6762095Z bias_addmm 0.0094 ms 100.0% 2025-09-07T10:46:23.6762730Z triton_mm_645 0.0100 ms 94.2% 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 2025-09-07T10:46:23.6764006Z triton_mm_640 0.0105 ms 89.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:23.6765348Z triton_mm_644 0.0107 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:23.6766362Z triton_mm_651 0.0114 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:23.6767358Z triton_mm_641 0.0116 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:23.6768340Z triton_mm_643 0.0116 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:23.6769315Z triton_mm_650 0.0116 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 2025-09-07T10:46:23.6770492Z triton_mm_647 0.0117 ms 80.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:23.6771608Z triton_mm_634 0.0119 ms 79.2% 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 2025-09-07T10:46:23.6772457Z SingleProcess AUTOTUNE benchmarking takes 0.2699 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:46:23.8632460Z Autotune Choices Stats: 2025-09-07T10:46:23.8633506Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_664", "best_kernel_desc": "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=4, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:46:23.8695062Z AUTOTUNE bmm(64x64x50, 64x50x64) 2025-09-07T10:46:23.8695331Z strides: [3200, 50, 1], [3200, 64, 1] 2025-09-07T10:46:23.8695624Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:23.8696279Z triton_bmm_664 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:23.8697294Z triton_bmm_660 0.0073 ms 98.7% 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=5, num_warps=4 2025-09-07T10:46:23.8698266Z triton_bmm_659 0.0073 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:23.8699244Z triton_bmm_663 0.0074 ms 97.4% 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=4 2025-09-07T10:46:23.8700186Z triton_bmm_662 0.0074 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:23.8702041Z triton_bmm_666 0.0075 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:23.8703044Z triton_bmm_653 0.0077 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:23.8703944Z triton_bmm_654 0.0077 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:23.8705097Z triton_bmm_655 0.0077 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:23.8706019Z triton_bmm_665 0.0078 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:46:23.8706807Z SingleProcess AUTOTUNE benchmarking takes 0.1924 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:46:24.0564918Z Autotune Choices Stats: 2025-09-07T10:46:24.0565952Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_668", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006943999789655209, "best_triton_pos": 0} 2025-09-07T10:46:24.0628370Z AUTOTUNE bmm(64x50x64, 64x64x64) 2025-09-07T10:46:24.0628673Z strides: [3200, 64, 1], [4096, 64, 1] 2025-09-07T10:46:24.0628950Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:24.0629617Z triton_bmm_668 0.0069 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:24.0631198Z triton_bmm_669 0.0070 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:24.0632249Z triton_bmm_670 0.0070 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:24.0633224Z triton_bmm_676 0.0071 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:24.0634190Z triton_bmm_677 0.0071 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:24.0635158Z triton_bmm_679 0.0071 ms 97.7% 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=4, num_warps=4 2025-09-07T10:46:24.0636138Z triton_bmm_678 0.0071 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:24.0637106Z triton_bmm_674 0.0072 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:24.0638072Z triton_bmm_675 0.0072 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:24.0639059Z triton_bmm_671 0.0073 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:24.0639907Z SingleProcess AUTOTUNE benchmarking takes 0.1928 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:46:24.3273645Z Autotune Choices Stats: 2025-09-07T10:46:24.3275139Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_686", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.008128000423312187, "best_triton_pos": 0} 2025-09-07T10:46:24.3334745Z AUTOTUNE addmm(400x512, 400x512, 512x512) 2025-09-07T10:46:24.3335034Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:46:24.3335366Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:24.3336315Z triton_mm_686 0.0081 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:24.3337343Z triton_mm_690 0.0084 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:24.3337982Z bias_addmm 0.0088 ms 92.0% 2025-09-07T10:46:24.3338589Z triton_mm_694 0.0092 ms 88.2% 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 2025-09-07T10:46:24.3339533Z triton_mm_685 0.0094 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:24.3340952Z triton_mm_689 0.0095 ms 85.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:24.3341921Z triton_mm_684 0.0095 ms 85.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:24.3342876Z triton_mm_683 0.0099 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:24.3343777Z triton_mm_693 0.0100 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:24.3344672Z triton_mm_696 0.0108 ms 75.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:24.3345456Z SingleProcess AUTOTUNE benchmarking takes 0.2700 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:46:24.5782678Z Autotune Choices Stats: 2025-09-07T10:46:24.5784023Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010879999957978725, "best_triton_pos": 1, "best_triton_time": 0.011168000288307667, "best_triton_kernel": "triton_mm_724", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:46:24.5843670Z AUTOTUNE mm(400x2048, 2048x512) 2025-09-07T10:46:24.5843965Z strides: [2048, 1], [1, 2048] 2025-09-07T10:46:24.5844255Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:24.5844538Z mm 0.0109 ms 100.0% 2025-09-07T10:46:24.5845160Z triton_mm_724 0.0112 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:24.5846186Z triton_mm_728 0.0122 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:24.5847194Z triton_mm_732 0.0135 ms 80.4% 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 2025-09-07T10:46:24.5848188Z triton_mm_738 0.0177 ms 61.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:24.5849557Z triton_mm_723 0.0179 ms 60.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:24.5850940Z triton_mm_722 0.0180 ms 60.4% 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 2025-09-07T10:46:24.5852230Z triton_mm_727 0.0190 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 2025-09-07T10:46:24.5853124Z triton_mm_721 0.0191 ms 56.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:24.5854021Z triton_mm_731 0.0193 ms 56.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:24.5854816Z SingleProcess AUTOTUNE benchmarking takes 0.2503 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:24.8340497Z Autotune Choices Stats: 2025-09-07T10:46:24.8341511Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_849", "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": 0.00800000037997961, "best_triton_pos": 0} 2025-09-07T10:46:24.8405173Z AUTOTUNE addmm(8x1000, 8x512, 512x1000) 2025-09-07T10:46:24.8405493Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:46:24.8405809Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:24.8406514Z triton_mm_849 0.0080 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:46:24.8407512Z triton_mm_853 0.0083 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:24.8408131Z bias_addmm 0.0089 ms 90.3% 2025-09-07T10:46:24.8408737Z triton_mm_848 0.0090 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:46:24.8409694Z triton_mm_861 0.0090 ms 88.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:24.8410802Z triton_mm_847 0.0094 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:24.8419131Z triton_mm_852 0.0094 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:24.8420181Z triton_mm_857 0.0094 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:24.8421310Z triton_mm_846 0.0097 ms 82.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:46:24.8422220Z triton_mm_856 0.0099 ms 80.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:24.8422985Z SingleProcess AUTOTUNE benchmarking takes 0.2444 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:46:53.8619000Z Autotune Choices Stats: 2025-09-07T10:46:53.8620113Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2169", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.01711999997496605, "best_triton_pos": 0} 2025-09-07T10:46:53.8680158Z AUTOTUNE mm(25096x64, 64x512) 2025-09-07T10:46:53.8680606Z strides: [64, 1], [512, 1] 2025-09-07T10:46:53.8680879Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:53.8681577Z triton_mm_2169 0.0171 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:53.8682994Z triton_mm_2165 0.0175 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:53.8683643Z mm 0.0175 ms 97.8% 2025-09-07T10:46:53.8684224Z triton_mm_2162 0.0175 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:53.8685229Z triton_mm_2164 0.0175 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:53.8686207Z triton_mm_2166 0.0178 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:53.8687187Z triton_mm_2170 0.0186 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:53.8688185Z triton_mm_2171 0.0186 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:53.8689165Z triton_mm_2163 0.0190 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:53.8690150Z triton_mm_2167 0.0191 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:53.8691165Z SingleProcess AUTOTUNE benchmarking takes 0.2189 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:46:54.4086602Z Autotune Choices Stats: 2025-09-07T10:46:54.4088014Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012256000190973282, "best_triton_pos": 1, "best_triton_time": 0.013952000066637993, "best_triton_kernel": "triton_mm_1772", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:46:54.4150932Z AUTOTUNE mm(6280x128, 128x1024) 2025-09-07T10:46:54.4151253Z strides: [128, 1], [1024, 1] 2025-09-07T10:46:54.4151519Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:54.4151783Z mm 0.0123 ms 100.0% 2025-09-07T10:46:54.4152407Z triton_mm_1772 0.0140 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=3, num_warps=4 2025-09-07T10:46:54.4153398Z triton_mm_1770 0.0140 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:54.4154376Z triton_mm_1768 0.0141 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:54.4155352Z triton_mm_1775 0.0142 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:54.4156722Z triton_mm_1776 0.0142 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:54.4157709Z triton_mm_1769 0.0151 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:54.4158684Z triton_mm_1773 0.0154 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 2025-09-07T10:46:54.4159882Z triton_mm_1765 0.0155 ms 79.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:54.4161255Z triton_mm_1771 0.0158 ms 77.5% 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 2025-09-07T10:46:54.4162070Z SingleProcess AUTOTUNE benchmarking takes 0.2185 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:54.9411297Z Autotune Choices Stats: 2025-09-07T10:46:54.9412188Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1330", "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": 0.0098879998549819, "best_triton_pos": 0} 2025-09-07T10:46:54.9476002Z AUTOTUNE mm(1576x320, 320x1280) 2025-09-07T10:46:54.9476389Z strides: [320, 1], [1280, 1] 2025-09-07T10:46:54.9476687Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:54.9477412Z triton_mm_1330 0.0099 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:54.9478524Z triton_mm_1337 0.0103 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=5, num_warps=8 2025-09-07T10:46:54.9479621Z triton_mm_1329 0.0103 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:54.9480888Z triton_mm_1333 0.0104 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:54.9481514Z mm 0.0105 ms 94.2% 2025-09-07T10:46:54.9482130Z triton_mm_1336 0.0105 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:54.9483116Z triton_mm_1328 0.0107 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:54.9484103Z triton_mm_1326 0.0109 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:54.9485071Z triton_mm_1332 0.0112 ms 88.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:54.9486056Z triton_mm_1335 0.0112 ms 88.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:54.9486920Z SingleProcess AUTOTUNE benchmarking takes 0.2083 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:55.4707453Z Autotune Choices Stats: 2025-09-07T10:46:55.4708965Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.00940799992531538, "best_triton_pos": 1, "best_triton_time": 0.009824000298976898, "best_triton_kernel": "triton_mm_926", "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"} 2025-09-07T10:46:55.4773229Z AUTOTUNE mm(512x400, 400x2048) 2025-09-07T10:46:55.4773520Z strides: [1, 512], [2048, 1] 2025-09-07T10:46:55.4773810Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:55.4774107Z mm 0.0094 ms 100.0% 2025-09-07T10:46:55.4775134Z triton_mm_926 0.0098 ms 95.8% 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 2025-09-07T10:46:55.4776244Z triton_mm_924 0.0102 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:55.4777311Z triton_mm_928 0.0102 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:55.4778388Z triton_mm_921 0.0102 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:55.4779428Z triton_mm_925 0.0104 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:55.4780819Z triton_mm_932 0.0106 ms 88.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:55.4781898Z triton_mm_931 0.0112 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:55.4783056Z triton_mm_922 0.0113 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:55.4784141Z triton_mm_923 0.0115 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:55.4785074Z SingleProcess AUTOTUNE benchmarking takes 0.2076 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:55.8700006Z Autotune Choices Stats: 2025-09-07T10:46:55.8701915Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009664000011980534, "best_triton_pos": 1, "best_triton_time": 0.009664000011980534, "best_triton_kernel": "triton_mm_964", "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"} 2025-09-07T10:46:55.8764907Z AUTOTUNE mm(2048x400, 400x512) 2025-09-07T10:46:55.8765337Z strides: [1, 2048], [512, 1] 2025-09-07T10:46:55.8765737Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:55.8766128Z mm 0.0097 ms 100.0% 2025-09-07T10:46:55.8767045Z triton_mm_964 0.0097 ms 100.0% 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 2025-09-07T10:46:55.8768566Z triton_mm_962 0.0103 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:55.8770038Z triton_mm_959 0.0104 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:55.8771492Z triton_mm_963 0.0104 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:55.8772670Z triton_mm_970 0.0106 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:55.8774494Z triton_mm_966 0.0107 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:55.8775665Z triton_mm_960 0.0113 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:55.8777111Z triton_mm_969 0.0113 ms 85.6% 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 2025-09-07T10:46:55.8778287Z triton_mm_961 0.0115 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:55.8779325Z SingleProcess AUTOTUNE benchmarking takes 0.2041 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:56.1564539Z Autotune Choices Stats: 2025-09-07T10:46:56.1566128Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009535999968647957, "best_triton_pos": 1, "best_triton_time": 0.009824000298976898, "best_triton_kernel": "triton_mm_907", "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"} 2025-09-07T10:46:56.1628582Z AUTOTUNE mm(400x512, 512x2048) 2025-09-07T10:46:56.1628852Z strides: [512, 1], [2048, 1] 2025-09-07T10:46:56.1629121Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:56.1629406Z mm 0.0095 ms 100.0% 2025-09-07T10:46:56.1630132Z triton_mm_907 0.0098 ms 97.1% 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 2025-09-07T10:46:56.1631652Z triton_mm_902 0.0104 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:56.1632713Z triton_mm_906 0.0104 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 2025-09-07T10:46:56.1633801Z triton_mm_913 0.0109 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:56.1634868Z triton_mm_905 0.0111 ms 85.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:56.1635943Z triton_mm_912 0.0111 ms 85.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:56.1637016Z triton_mm_909 0.0113 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=4, num_warps=8 2025-09-07T10:46:56.1638079Z triton_mm_903 0.0114 ms 83.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:56.1639143Z triton_mm_904 0.0122 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:56.1640071Z SingleProcess AUTOTUNE benchmarking takes 0.2073 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:46:56.6791831Z Autotune Choices Stats: 2025-09-07T10:46:56.6793622Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.008511999621987343, "best_triton_pos": 1, "best_triton_time": 0.009216000325977802, "best_triton_kernel": "triton_mm_1100", "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"} 2025-09-07T10:46:56.6856759Z AUTOTUNE mm(1536x400, 400x512) 2025-09-07T10:46:56.6857127Z strides: [1, 1536], [512, 1] 2025-09-07T10:46:56.6857442Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:56.6857792Z mm 0.0085 ms 100.0% 2025-09-07T10:46:56.6859040Z triton_mm_1100 0.0092 ms 92.4% 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 2025-09-07T10:46:56.6860585Z triton_mm_1098 0.0094 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:56.6861899Z triton_mm_1102 0.0095 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:56.6863135Z triton_mm_1099 0.0096 ms 88.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:56.6864353Z triton_mm_1095 0.0097 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:56.6865704Z triton_mm_1106 0.0100 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:56.6867048Z triton_mm_1097 0.0105 ms 80.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:56.6868329Z triton_mm_1105 0.0106 ms 80.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:56.6869484Z triton_mm_1096 0.0109 ms 78.2% 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 2025-09-07T10:46:56.6870696Z SingleProcess AUTOTUNE benchmarking takes 0.2038 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:57.0516597Z Autotune Choices Stats: 2025-09-07T10:46:57.0517695Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_884", "best_kernel_desc": "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", "best_time": 0.006175999995321035, "best_triton_pos": 0} 2025-09-07T10:46:57.0582083Z AUTOTUNE mm(1000x8, 8x512) 2025-09-07T10:46:57.0582369Z strides: [1, 1000], [512, 1] 2025-09-07T10:46:57.0582643Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:57.0583377Z triton_mm_884 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:57.0584344Z triton_mm_885 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:57.0585298Z triton_mm_881 0.0062 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:57.0586235Z triton_mm_883 0.0062 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:57.0587168Z triton_mm_882 0.0063 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:57.0588482Z triton_mm_886 0.0063 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:57.0589432Z triton_mm_887 0.0064 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:57.0590912Z triton_mm_879 0.0065 ms 95.5% 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=1, num_warps=2 2025-09-07T10:46:57.0592002Z triton_mm_880 0.0065 ms 95.5% 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 2025-09-07T10:46:57.0593073Z triton_mm_888 0.0065 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:57.0594000Z SingleProcess AUTOTUNE benchmarking takes 0.1646 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:46:57.4746864Z Autotune Choices Stats: 2025-09-07T10:46:57.4748241Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010528000071644783, "best_triton_pos": 1, "best_triton_time": 0.011359999887645245, "best_triton_kernel": "triton_mm_1346", "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"} 2025-09-07T10:46:57.4812282Z AUTOTUNE mm(320x1576, 1576x1280) 2025-09-07T10:46:57.4812560Z strides: [1, 320], [1280, 1] 2025-09-07T10:46:57.4812792Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:57.4813045Z mm 0.0105 ms 100.0% 2025-09-07T10:46:57.4813631Z triton_mm_1346 0.0114 ms 92.7% 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 2025-09-07T10:46:57.4814609Z triton_mm_1350 0.0132 ms 79.7% 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 2025-09-07T10:46:57.4815528Z triton_mm_1342 0.0162 ms 65.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:57.4816433Z triton_mm_1345 0.0168 ms 62.7% 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 2025-09-07T10:46:57.4817355Z triton_mm_1356 0.0172 ms 61.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:57.4818272Z triton_mm_1349 0.0172 ms 61.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:57.4819174Z triton_mm_1341 0.0178 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:57.4820087Z triton_mm_1348 0.0187 ms 56.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:57.4821349Z triton_mm_1355 0.0192 ms 54.8% 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 2025-09-07T10:46:57.4822159Z SingleProcess AUTOTUNE benchmarking takes 0.2286 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:57.8945368Z Autotune Choices Stats: 2025-09-07T10:46:57.8947124Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010528000071644783, "best_triton_pos": 1, "best_triton_time": 0.011648000217974186, "best_triton_kernel": "triton_mm_1384", "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"} 2025-09-07T10:46:57.9013240Z AUTOTUNE mm(1280x1576, 1576x320) 2025-09-07T10:46:57.9013531Z strides: [1, 1280], [320, 1] 2025-09-07T10:46:57.9013783Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:57.9014065Z mm 0.0105 ms 100.0% 2025-09-07T10:46:57.9015005Z triton_mm_1384 0.0116 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:57.9016064Z triton_mm_1388 0.0133 ms 79.1% 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 2025-09-07T10:46:57.9017088Z triton_mm_1380 0.0163 ms 64.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:57.9018052Z triton_mm_1383 0.0168 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:57.9019014Z triton_mm_1387 0.0172 ms 61.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:57.9020012Z triton_mm_1394 0.0172 ms 61.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:57.9021483Z triton_mm_1379 0.0180 ms 58.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:57.9022477Z triton_mm_1386 0.0187 ms 56.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:57.9023567Z triton_mm_1390 0.0189 ms 55.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:57.9024430Z SingleProcess AUTOTUNE benchmarking takes 0.2269 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:58.1977829Z Autotune Choices Stats: 2025-09-07T10:46:58.1979159Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010463999584317207, "best_triton_pos": 1, "best_triton_time": 0.011552000418305397, "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=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:46:58.2045124Z AUTOTUNE mm(960x1576, 1576x320) 2025-09-07T10:46:58.2045437Z strides: [1, 960], [320, 1] 2025-09-07T10:46:58.2045703Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:58.2046003Z mm 0.0105 ms 100.0% 2025-09-07T10:46:58.2046629Z triton_mm_1528 0.0116 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:58.2047692Z triton_mm_1532 0.0132 ms 79.0% 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 2025-09-07T10:46:58.2048705Z triton_mm_1524 0.0159 ms 65.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:58.2049686Z triton_mm_1527 0.0166 ms 63.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:58.2051620Z triton_mm_1538 0.0171 ms 61.1% 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 2025-09-07T10:46:58.2052546Z triton_mm_1531 0.0172 ms 60.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:58.2053700Z triton_mm_1523 0.0178 ms 58.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:58.2054621Z triton_mm_1530 0.0185 ms 56.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:58.2055529Z triton_mm_1534 0.0189 ms 55.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:58.2056326Z SingleProcess AUTOTUNE benchmarking takes 0.2265 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:58.6070436Z Autotune Choices Stats: 2025-09-07T10:46:58.6071470Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_998", "best_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", "best_time": 0.008031999692320824, "best_triton_pos": 0} 2025-09-07T10:46:58.6137329Z AUTOTUNE mm(512x400, 400x512) 2025-09-07T10:46:58.6137871Z strides: [1, 512], [512, 1] 2025-09-07T10:46:58.6138189Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:58.6138900Z triton_mm_998 0.0080 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:58.6139915Z triton_mm_994 0.0082 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:58.6140699Z mm 0.0085 ms 94.0% 2025-09-07T10:46:58.6141348Z triton_mm_993 0.0087 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:58.6142288Z triton_mm_997 0.0091 ms 88.4% 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 2025-09-07T10:46:58.6143302Z triton_mm_992 0.0093 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:58.6144209Z triton_mm_1002 0.0093 ms 86.3% 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 2025-09-07T10:46:58.6145129Z triton_mm_1000 0.0095 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:58.6146031Z triton_mm_1001 0.0095 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:58.6146937Z triton_mm_1004 0.0096 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:58.6147727Z SingleProcess AUTOTUNE benchmarking takes 0.2032 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:59.1399467Z Autotune Choices Stats: 2025-09-07T10:46:59.1401450Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.016863999888300896, "best_triton_pos": 1, "best_triton_time": 0.022016000002622604, "best_triton_kernel": "triton_mm_1782", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:46:59.1468172Z AUTOTUNE mm(128x6280, 6280x1024) 2025-09-07T10:46:59.1468425Z strides: [1, 128], [1024, 1] 2025-09-07T10:46:59.1468683Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:59.1468929Z mm 0.0169 ms 100.0% 2025-09-07T10:46:59.1469724Z triton_mm_1782 0.0220 ms 76.6% 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 2025-09-07T10:46:59.1470821Z triton_mm_1786 0.0232 ms 72.7% 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 2025-09-07T10:46:59.1471830Z triton_mm_1790 0.0307 ms 55.0% 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 2025-09-07T10:46:59.1472810Z triton_mm_1781 0.0427 ms 39.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:59.1473779Z triton_mm_1780 0.0433 ms 39.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:59.1474748Z triton_mm_1796 0.0444 ms 38.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:59.1475721Z triton_mm_1785 0.0463 ms 36.4% 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 2025-09-07T10:46:59.1476692Z triton_mm_1789 0.0469 ms 35.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:59.1477670Z triton_mm_1795 0.0509 ms 33.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:59.1478522Z SingleProcess AUTOTUNE benchmarking takes 0.3295 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:59.6621560Z Autotune Choices Stats: 2025-09-07T10:46:59.6622993Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.016543999314308167, "best_triton_pos": 1, "best_triton_time": 0.022272000089287758, "best_triton_kernel": "triton_mm_1820", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:46:59.6685983Z AUTOTUNE mm(1024x6280, 6280x128) 2025-09-07T10:46:59.6686411Z strides: [1, 1024], [128, 1] 2025-09-07T10:46:59.6686697Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:59.6686968Z mm 0.0165 ms 100.0% 2025-09-07T10:46:59.6687616Z triton_mm_1820 0.0223 ms 74.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:59.6688688Z triton_mm_1824 0.0232 ms 71.2% 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 2025-09-07T10:46:59.6689722Z triton_mm_1828 0.0306 ms 54.1% 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 2025-09-07T10:46:59.6690946Z triton_mm_1819 0.0419 ms 39.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:59.6692358Z triton_mm_1818 0.0434 ms 38.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:59.6693266Z triton_mm_1834 0.0444 ms 37.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:59.6694383Z triton_mm_1823 0.0455 ms 36.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:59.6695289Z triton_mm_1827 0.0467 ms 35.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:59.6696204Z triton_mm_1833 0.0521 ms 31.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:59.6697025Z SingleProcess AUTOTUNE benchmarking takes 0.3274 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:46:59.9563652Z Autotune Choices Stats: 2025-09-07T10:46:59.9565039Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009664000011980534, "best_triton_pos": 1, "best_triton_time": 0.010688000358641148, "best_triton_kernel": "triton_mm_1422", "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"} 2025-09-07T10:46:59.9629009Z AUTOTUNE mm(320x1576, 1576x320) 2025-09-07T10:46:59.9629506Z strides: [1, 320], [320, 1] 2025-09-07T10:46:59.9629773Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:59.9630061Z mm 0.0097 ms 100.0% 2025-09-07T10:46:59.9631162Z triton_mm_1422 0.0107 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:59.9632298Z triton_mm_1418 0.0109 ms 88.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:59.9633292Z triton_mm_1426 0.0127 ms 76.3% 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 2025-09-07T10:46:59.9634294Z triton_mm_1417 0.0147 ms 65.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:59.9635262Z triton_mm_1416 0.0151 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:59.9636238Z triton_mm_1421 0.0157 ms 61.4% 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 2025-09-07T10:46:59.9637213Z triton_mm_1432 0.0159 ms 60.6% 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 2025-09-07T10:46:59.9638198Z triton_mm_1425 0.0162 ms 59.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:59.9639169Z triton_mm_1424 0.0177 ms 54.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:59.9640019Z SingleProcess AUTOTUNE benchmarking takes 0.2214 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:00.5247110Z Autotune Choices Stats: 2025-09-07T10:47:00.5248725Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.015615999698638916, "best_triton_pos": 1, "best_triton_time": 0.02175999991595745, "best_triton_kernel": "triton_mm_1941", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:47:00.5316632Z AUTOTUNE mm(384x6280, 6280x128) 2025-09-07T10:47:00.5316937Z strides: [1, 384], [128, 1] 2025-09-07T10:47:00.5317667Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:00.5317969Z mm 0.0156 ms 100.0% 2025-09-07T10:47:00.5318622Z triton_mm_1941 0.0218 ms 71.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:00.5319740Z triton_mm_1945 0.0232 ms 67.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:00.5320998Z triton_mm_1949 0.0306 ms 51.0% 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 2025-09-07T10:47:00.5322066Z triton_mm_1940 0.0396 ms 39.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:00.5323124Z triton_mm_1939 0.0411 ms 38.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:00.5324179Z triton_mm_1944 0.0444 ms 35.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:00.5325241Z triton_mm_1955 0.0447 ms 35.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:00.5326352Z triton_mm_1948 0.0466 ms 33.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:00.5327416Z triton_mm_1954 0.0517 ms 30.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:00.5328352Z SingleProcess AUTOTUNE benchmarking takes 0.3441 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:47:01.5962893Z Autotune Choices Stats: 2025-09-07T10:47:01.5964328Z {"num_choices": 21, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.024288000538945198, "best_triton_pos": 4, "best_triton_time": 0.05862399935722351, "best_triton_kernel": "triton_mm_2176", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:47:01.6042493Z AUTOTUNE mm(64x25096, 25096x512) 2025-09-07T10:47:01.6042815Z strides: [1, 64], [512, 1] 2025-09-07T10:47:01.6043099Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:01.6043385Z mm 0.0243 ms 100.0% 2025-09-07T10:47:01.6043661Z decompose_k_mm_4_split_15 0.0245 ms 99.1% k_split=4 2025-09-07T10:47:01.6044018Z decompose_k_mm_2_split_14 0.0293 ms 83.0% k_split=2 2025-09-07T10:47:01.6044367Z decompose_k_mm_8_split_16 0.0444 ms 54.8% k_split=8 2025-09-07T10:47:01.6045118Z triton_mm_2176 0.0586 ms 41.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:01.6046199Z triton_mm_2180 0.0690 ms 35.2% 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 2025-09-07T10:47:01.6047966Z triton_mm_2184 0.0930 ms 26.1% 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 2025-09-07T10:47:01.6049028Z triton_mm_2188 0.1139 ms 21.3% 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=5, num_warps=8 2025-09-07T10:47:01.6050750Z triton_mm_2175 0.1434 ms 16.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:01.6051976Z triton_mm_2174 0.1493 ms 16.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:01.6052841Z SingleProcess AUTOTUNE benchmarking takes 0.8911 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:47:02.4231543Z Autotune Choices Stats: 2025-09-07T10:47:02.4233157Z {"num_choices": 22, "num_triton_choices": 18, "best_kernel": "decompose_k_mm_4_split_18", "best_kernel_desc": "k_split=4", "best_time": 0.024191999807953835, "best_triton_pos": 4, "best_triton_time": 0.06560000032186508, "best_triton_kernel": "triton_mm_2211", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:47:02.4303852Z AUTOTUNE mm(512x25096, 25096x64) 2025-09-07T10:47:02.4304267Z strides: [1, 512], [64, 1] 2025-09-07T10:47:02.4304594Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:02.4304942Z decompose_k_mm_4_split_18 0.0242 ms 100.0% k_split=4 2025-09-07T10:47:02.4305261Z mm 0.0249 ms 97.0% 2025-09-07T10:47:02.4305511Z decompose_k_mm_2_split_17 0.0297 ms 81.5% k_split=2 2025-09-07T10:47:02.4305855Z decompose_k_mm_8_split_19 0.0441 ms 54.8% k_split=8 2025-09-07T10:47:02.4306553Z triton_mm_2211 0.0656 ms 36.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:02.4307529Z triton_mm_2215 0.0713 ms 33.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:02.4308492Z triton_mm_2219 0.0730 ms 33.1% 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=4, num_warps=4 2025-09-07T10:47:02.4309520Z triton_mm_2224 0.1185 ms 20.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:02.4310685Z triton_mm_2210 0.1387 ms 17.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:02.4311680Z triton_mm_2218 0.1470 ms 16.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:02.4312691Z SingleProcess AUTOTUNE benchmarking takes 0.6480 seconds and 0.0002 seconds precompiling for 22 choices 2025-09-07T10:47:03.6942269Z Autotune Choices Stats: 2025-09-07T10:47:03.6944512Z {"num_choices": 27, "num_triton_choices": 19, "best_kernel": "decompose_k_mm_5_split_2", "best_kernel_desc": "k_split=5", "best_time": 0.012543999589979649, "best_triton_pos": 4, "best_triton_time": 0.02115200087428093, "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=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:47:03.7026546Z AUTOTUNE mm(128x6280, 6280x128) 2025-09-07T10:47:03.7026945Z strides: [1, 128], [128, 1] 2025-09-07T10:47:03.7027817Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:03.7028291Z decompose_k_mm_5_split_2 0.0125 ms 100.0% k_split=5 2025-09-07T10:47:03.7028793Z decompose_k_mm_4_split_1 0.0127 ms 99.0% k_split=4 2025-09-07T10:47:03.7029221Z mm 0.0134 ms 93.3% 2025-09-07T10:47:03.7029573Z decompose_k_mm_2_split_0 0.0144 ms 87.1% k_split=2 2025-09-07T10:47:03.7031020Z triton_mm_1862 0.0212 ms 59.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:03.7032070Z decompose_k_mm_20_split_5 0.0216 ms 58.1% k_split=20 2025-09-07T10:47:03.7032937Z decompose_k_mm_10_split_4 0.0220 ms 57.0% k_split=10 2025-09-07T10:47:03.7033480Z decompose_k_mm_8_split_3 0.0221 ms 56.7% k_split=8 2025-09-07T10:47:03.7034497Z triton_mm_1858 0.0225 ms 55.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:03.7035530Z decompose_k_mm_40_split_6 0.0226 ms 55.4% k_split=40 2025-09-07T10:47:03.7036314Z SingleProcess AUTOTUNE benchmarking takes 1.2287 seconds and 0.0002 seconds precompiling for 27 choices 2025-09-07T10:47:04.7395731Z Autotune Choices Stats: 2025-09-07T10:47:04.7397050Z {"num_choices": 22, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01711999997496605, "best_triton_pos": 4, "best_triton_time": 0.0650240033864975, "best_triton_kernel": "triton_mm_2325", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:47:04.7474191Z AUTOTUNE mm(192x25096, 25096x64) 2025-09-07T10:47:04.7474476Z strides: [1, 192], [64, 1] 2025-09-07T10:47:04.7474731Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:04.7475001Z mm 0.0171 ms 100.0% 2025-09-07T10:47:04.7475255Z decompose_k_mm_4_split_24 0.0191 ms 89.5% k_split=4 2025-09-07T10:47:04.7475611Z decompose_k_mm_8_split_25 0.0243 ms 70.5% k_split=8 2025-09-07T10:47:04.7475949Z decompose_k_mm_2_split_23 0.0277 ms 61.7% k_split=2 2025-09-07T10:47:04.7476633Z triton_mm_2325 0.0650 ms 26.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:04.7477642Z triton_mm_2329 0.0708 ms 24.2% 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 2025-09-07T10:47:04.7478623Z triton_mm_2333 0.0712 ms 24.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:04.7479614Z triton_mm_2338 0.1175 ms 14.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:04.7480932Z triton_mm_2324 0.1358 ms 12.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:04.7481908Z triton_mm_2332 0.1404 ms 12.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:04.7482778Z SingleProcess AUTOTUNE benchmarking takes 0.8662 seconds and 0.0002 seconds precompiling for 22 choices 2025-09-07T10:47:05.6971510Z Autotune Choices Stats: 2025-09-07T10:47:05.6972924Z {"num_choices": 19, "num_triton_choices": 15, "best_kernel": "mm", "best_time": 0.014399999752640724, "best_triton_pos": 4, "best_triton_time": 0.06128000095486641, "best_triton_kernel": "triton_mm_2251", "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"} 2025-09-07T10:47:05.7053294Z AUTOTUNE mm(64x25096, 25096x64) 2025-09-07T10:47:05.7053564Z strides: [1, 64], [64, 1] 2025-09-07T10:47:05.7053828Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:05.7054108Z mm 0.0144 ms 100.0% 2025-09-07T10:47:05.7054377Z decompose_k_mm_8_split_22 0.0176 ms 81.8% k_split=8 2025-09-07T10:47:05.7054718Z decompose_k_mm_4_split_21 0.0184 ms 78.1% k_split=4 2025-09-07T10:47:05.7055039Z decompose_k_mm_2_split_20 0.0260 ms 55.4% k_split=2 2025-09-07T10:47:05.7056054Z triton_mm_2251 0.0613 ms 23.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:05.7057090Z triton_mm_2255 0.0640 ms 22.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:05.7058070Z triton_mm_2247 0.0644 ms 22.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:05.7059045Z triton_mm_2257 0.0889 ms 16.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:05.7060028Z triton_mm_2246 0.1357 ms 10.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:05.7061217Z triton_mm_2254 0.1404 ms 10.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:05.7062079Z SingleProcess AUTOTUNE benchmarking takes 0.7783 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:47:06.4842111Z Autotune Choices Stats: 2025-09-07T10:47:06.4843613Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.008576000109314919, "best_triton_pos": 1, "best_triton_time": 0.008991999551653862, "best_triton_kernel": "triton_mm_866", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-07T10:47:06.4913789Z AUTOTUNE mm(8x1000, 1000x512) 2025-09-07T10:47:06.4914179Z strides: [1000, 1], [512, 1] 2025-09-07T10:47:06.4914420Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:06.4914689Z mm 0.0086 ms 100.0% 2025-09-07T10:47:06.4915295Z triton_mm_866 0.0090 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:47:06.4916299Z triton_mm_870 0.0095 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:06.4917288Z triton_mm_874 0.0097 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:06.4918268Z triton_mm_864 0.0109 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:06.4919222Z triton_mm_865 0.0110 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:47:06.4920190Z triton_mm_878 0.0114 ms 75.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:06.4921477Z triton_mm_869 0.0114 ms 75.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:06.4922438Z triton_mm_876 0.0118 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:06.4923766Z triton_mm_873 0.0126 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:06.4924624Z SingleProcess AUTOTUNE benchmarking takes 0.1889 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:47:06.7146625Z Autotune Choices Stats: 2025-09-07T10:47:06.7148351Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010879999957978725, "best_triton_pos": 1, "best_triton_time": 0.011103999800980091, "best_triton_kernel": "triton_mm_937", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:47:06.7219887Z AUTOTUNE mm(400x2048, 2048x512) 2025-09-07T10:47:06.7220429Z strides: [2048, 1], [512, 1] 2025-09-07T10:47:06.7220703Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:06.7220970Z mm 0.0109 ms 100.0% 2025-09-07T10:47:06.7221582Z triton_mm_937 0.0111 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:06.7222583Z triton_mm_941 0.0115 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:06.7223731Z triton_mm_945 0.0139 ms 78.5% 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 2025-09-07T10:47:06.7224573Z triton_mm_935 0.0175 ms 62.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:06.7225414Z triton_mm_936 0.0178 ms 61.3% 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 2025-09-07T10:47:06.7226261Z triton_mm_951 0.0182 ms 59.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:06.7227100Z triton_mm_940 0.0185 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 2025-09-07T10:47:06.7227940Z triton_mm_944 0.0185 ms 58.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:06.7228779Z triton_mm_950 0.0205 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:06.7229526Z SingleProcess AUTOTUNE benchmarking takes 0.2294 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:06.9122450Z Autotune Choices Stats: 2025-09-07T10:47:06.9123742Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_975", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.007712000049650669, "best_triton_pos": 0} 2025-09-07T10:47:06.9191029Z AUTOTUNE mm(400x512, 512x512) 2025-09-07T10:47:06.9191476Z strides: [512, 1], [512, 1] 2025-09-07T10:47:06.9191933Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:06.9193027Z triton_mm_975 0.0077 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:06.9194587Z triton_mm_979 0.0079 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:06.9195776Z mm 0.0082 ms 94.5% 2025-09-07T10:47:06.9196347Z triton_mm_983 0.0088 ms 87.6% 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 2025-09-07T10:47:06.9197319Z triton_mm_973 0.0089 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:06.9198518Z triton_mm_974 0.0089 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:06.9199480Z triton_mm_978 0.0091 ms 85.2% 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 2025-09-07T10:47:06.9200819Z triton_mm_982 0.0093 ms 82.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:06.9201798Z triton_mm_972 0.0098 ms 79.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:06.9202762Z triton_mm_981 0.0098 ms 79.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:06.9203615Z SingleProcess AUTOTUNE benchmarking takes 0.1960 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:07.0653706Z Autotune Choices Stats: 2025-09-07T10:47:07.0655319Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_1025", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006816000211983919, "best_triton_pos": 0} 2025-09-07T10:47:07.0724783Z AUTOTUNE bmm(64x50x64, 64x64x64) 2025-09-07T10:47:07.0725054Z strides: [3200, 64, 1], [4096, 1, 64] 2025-09-07T10:47:07.0725355Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:07.0726059Z triton_bmm_1025 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:07.0727096Z triton_bmm_1032 0.0068 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=5, num_warps=4 2025-09-07T10:47:07.0728095Z triton_bmm_1027 0.0069 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.0729078Z triton_bmm_1034 0.0069 ms 99.1% 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 2025-09-07T10:47:07.0730082Z triton_bmm_1033 0.0069 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:07.0731462Z triton_bmm_1035 0.0070 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:07.0732479Z triton_bmm_1026 0.0070 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.0733571Z triton_bmm_1036 0.0070 ms 96.8% 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=4, num_warps=4 2025-09-07T10:47:07.0734748Z triton_bmm_1031 0.0071 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:07.0735665Z triton_bmm_1028 0.0073 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:07.0736468Z SingleProcess AUTOTUNE benchmarking takes 0.1529 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:47:07.2195914Z Autotune Choices Stats: 2025-09-07T10:47:07.2197088Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_1010", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006816000211983919, "best_triton_pos": 0} 2025-09-07T10:47:07.2268369Z AUTOTUNE bmm(64x64x50, 64x50x64) 2025-09-07T10:47:07.2268656Z strides: [3200, 1, 64], [3200, 64, 1] 2025-09-07T10:47:07.2268961Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:07.2269621Z triton_bmm_1010 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:07.2271096Z triton_bmm_1019 0.0070 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:07.2272122Z triton_bmm_1018 0.0071 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:07.2273127Z triton_bmm_1012 0.0072 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.2274242Z triton_bmm_1011 0.0072 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.2275232Z triton_bmm_1017 0.0073 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:07.2276220Z triton_bmm_1020 0.0073 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:07.2277211Z triton_bmm_1023 0.0073 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.2278198Z triton_bmm_1013 0.0074 ms 91.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:07.2279177Z triton_bmm_1015 0.0075 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:07.2280041Z SingleProcess AUTOTUNE benchmarking takes 0.1538 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:47:07.3807050Z Autotune Choices Stats: 2025-09-07T10:47:07.3807979Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_1055", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006816000211983919, "best_triton_pos": 0} 2025-09-07T10:47:07.3881868Z AUTOTUNE bmm(64x64x64, 64x64x50) 2025-09-07T10:47:07.3882140Z strides: [4096, 64, 1], [3200, 1, 64] 2025-09-07T10:47:07.3882410Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:07.3883067Z triton_bmm_1055 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:07.3885086Z triton_bmm_1062 0.0070 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:07.3886692Z triton_bmm_1068 0.0070 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.3888482Z triton_bmm_1061 0.0070 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:07.3890046Z triton_bmm_1064 0.0070 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:07.3892116Z triton_bmm_1065 0.0070 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:07.3893768Z triton_bmm_1066 0.0070 ms 96.8% 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=4, num_warps=4 2025-09-07T10:47:07.3894915Z triton_bmm_1056 0.0071 ms 96.4% 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 2025-09-07T10:47:07.3895830Z triton_bmm_1057 0.0071 ms 96.4% 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 2025-09-07T10:47:07.3896752Z triton_bmm_1058 0.0072 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:07.3897546Z SingleProcess AUTOTUNE benchmarking takes 0.1585 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:47:07.5995299Z Autotune Choices Stats: 2025-09-07T10:47:07.5996627Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010048000141978264, "best_triton_pos": 1, "best_triton_time": 0.010111999697983265, "best_triton_kernel": "triton_mm_1073", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:47:07.6065072Z AUTOTUNE mm(400x1536, 1536x512) 2025-09-07T10:47:07.6065553Z strides: [1536, 1], [512, 1] 2025-09-07T10:47:07.6065971Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:07.6066380Z mm 0.0100 ms 100.0% 2025-09-07T10:47:07.6067325Z triton_mm_1073 0.0101 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:07.6068966Z triton_mm_1077 0.0104 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:07.6071071Z triton_mm_1081 0.0121 ms 82.8% 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 2025-09-07T10:47:07.6072626Z triton_mm_1072 0.0144 ms 69.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.6074453Z triton_mm_1087 0.0145 ms 69.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.6075517Z triton_mm_1071 0.0146 ms 68.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.6076804Z triton_mm_1076 0.0147 ms 68.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:07.6077872Z triton_mm_1080 0.0154 ms 65.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:07.6079071Z triton_mm_1079 0.0167 ms 60.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:07.6080014Z SingleProcess AUTOTUNE benchmarking takes 0.2177 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:07.8315856Z Autotune Choices Stats: 2025-09-07T10:47:07.8317071Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010400000028312206, "best_triton_pos": 1, "best_triton_time": 0.010944000445306301, "best_triton_kernel": "triton_mm_1365", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:47:07.8386128Z AUTOTUNE mm(1576x1280, 1280x320) 2025-09-07T10:47:07.8386563Z strides: [1280, 1], [320, 1] 2025-09-07T10:47:07.8386970Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:07.8387432Z mm 0.0104 ms 100.0% 2025-09-07T10:47:07.8388398Z triton_mm_1365 0.0109 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:07.8389965Z triton_mm_1369 0.0116 ms 89.5% 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 2025-09-07T10:47:07.8392001Z triton_mm_1375 0.0140 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=5, num_warps=8 2025-09-07T10:47:07.8393667Z triton_mm_1361 0.0141 ms 73.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:07.8394996Z triton_mm_1364 0.0143 ms 72.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:07.8395968Z triton_mm_1368 0.0148 ms 70.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:07.8396931Z triton_mm_1360 0.0159 ms 65.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:07.8397915Z triton_mm_1367 0.0164 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:07.8398896Z triton_mm_1374 0.0165 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:07.8399755Z SingleProcess AUTOTUNE benchmarking takes 0.2144 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:08.0274520Z Autotune Choices Stats: 2025-09-07T10:47:08.0275734Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.007935999892652035, "best_triton_pos": 1, "best_triton_time": 0.008063999935984612, "best_triton_kernel": "triton_mm_1403", "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"} 2025-09-07T10:47:08.0345705Z AUTOTUNE mm(1576x320, 320x320) 2025-09-07T10:47:08.0346534Z strides: [320, 1], [320, 1] 2025-09-07T10:47:08.0346959Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:08.0347388Z mm 0.0079 ms 100.0% 2025-09-07T10:47:08.0348335Z triton_mm_1403 0.0081 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:08.0349908Z triton_mm_1402 0.0084 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:08.0352208Z triton_mm_1406 0.0086 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.0353924Z triton_mm_1407 0.0087 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:08.0355181Z triton_mm_1405 0.0089 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:08.0356181Z triton_mm_1409 0.0091 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 2025-09-07T10:47:08.0357149Z triton_mm_1398 0.0091 ms 87.3% 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 2025-09-07T10:47:08.0358139Z triton_mm_1412 0.0093 ms 85.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.0359123Z triton_mm_1413 0.0094 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:08.0359979Z SingleProcess AUTOTUNE benchmarking takes 0.1949 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:08.2081998Z Autotune Choices Stats: 2025-09-07T10:47:08.2082982Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_1455", "best_kernel_desc": "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", "best_time": 0.0072639998979866505, "best_triton_pos": 0} 2025-09-07T10:47:08.2156396Z AUTOTUNE bmm(64x197x40, 64x40x40) 2025-09-07T10:47:08.2156679Z strides: [7880, 40, 1], [1600, 1, 40] 2025-09-07T10:47:08.2156945Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:08.2157587Z triton_bmm_1455 0.0073 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:08.2158677Z triton_bmm_1456 0.0073 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:08.2159666Z triton_bmm_1459 0.0073 ms 99.6% 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=4 2025-09-07T10:47:08.2160787Z triton_bmm_1460 0.0073 ms 99.6% 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=4, num_warps=4 2025-09-07T10:47:08.2161776Z triton_bmm_1465 0.0073 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:08.2162758Z triton_bmm_1464 0.0073 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.2163730Z triton_bmm_1458 0.0075 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:08.2164911Z triton_bmm_1462 0.0075 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:08.2165827Z triton_bmm_1461 0.0076 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.2166853Z triton_bmm_1457 0.0076 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.2167648Z SingleProcess AUTOTUNE benchmarking takes 0.1801 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:47:08.3654339Z Autotune Choices Stats: 2025-09-07T10:47:08.3655268Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_1445", "best_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=4, num_warps=4", "best_time": 0.007872000336647034, "best_triton_pos": 0} 2025-09-07T10:47:08.3729040Z AUTOTUNE bmm(64x40x197, 64x197x40) 2025-09-07T10:47:08.3729304Z strides: [7880, 1, 40], [7880, 40, 1] 2025-09-07T10:47:08.3729574Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:08.3730555Z triton_bmm_1445 0.0079 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:08.3731585Z triton_bmm_1447 0.0079 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:08.3732571Z triton_bmm_1436 0.0080 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:08.3733569Z triton_bmm_1441 0.0080 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:08.3734558Z triton_bmm_1437 0.0081 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:08.3735499Z triton_bmm_1435 0.0082 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:08.3736402Z triton_bmm_1444 0.0082 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.3736972Z bmm 0.0082 ms 95.7% 2025-09-07T10:47:08.3737503Z triton_bmm_1443 0.0084 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:08.3738405Z triton_bmm_1440 0.0084 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:08.3739187Z SingleProcess AUTOTUNE benchmarking takes 0.1568 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:47:08.5469536Z Autotune Choices Stats: 2025-09-07T10:47:08.5471088Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_1478", "best_kernel_desc": "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=4, num_warps=4", "best_time": 0.007071999832987785, "best_triton_pos": 0} 2025-09-07T10:47:08.5543724Z AUTOTUNE bmm(64x197x40, 64x40x40) 2025-09-07T10:47:08.5544375Z strides: [7936, 40, 1], [1600, 40, 1] 2025-09-07T10:47:08.5544660Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:08.5545342Z triton_bmm_1478 0.0071 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:08.5546347Z triton_bmm_1473 0.0073 ms 97.4% 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 2025-09-07T10:47:08.5547558Z triton_bmm_1474 0.0073 ms 97.4% 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=5, num_warps=4 2025-09-07T10:47:08.5548591Z triton_bmm_1477 0.0073 ms 97.4% 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=4 2025-09-07T10:47:08.5549569Z triton_bmm_1482 0.0073 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.5550756Z triton_bmm_1483 0.0073 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:08.5551732Z triton_bmm_1480 0.0076 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:08.5552696Z triton_bmm_1475 0.0076 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.5553735Z triton_bmm_1476 0.0076 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:08.5554814Z triton_bmm_1479 0.0076 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.5555673Z SingleProcess AUTOTUNE benchmarking takes 0.1809 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:47:08.7202723Z Autotune Choices Stats: 2025-09-07T10:47:08.7203848Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_1496", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.007807999849319458, "best_triton_pos": 0} 2025-09-07T10:47:08.7278719Z AUTOTUNE bmm(64x40x40, 64x40x197) 2025-09-07T10:47:08.7278995Z strides: [1600, 40, 1], [7880, 1, 40] 2025-09-07T10:47:08.7279280Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:08.7279980Z triton_bmm_1496 0.0078 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:08.7281470Z triton_bmm_1495 0.0079 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.7282565Z triton_bmm_1484 0.0080 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:47:08.7283653Z triton_bmm_1493 0.0080 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.7284730Z triton_bmm_1491 0.0081 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:08.7286041Z triton_bmm_1488 0.0082 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:08.7287109Z triton_bmm_1492 0.0082 ms 95.7% 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=5, num_warps=4 2025-09-07T10:47:08.7288174Z triton_bmm_1485 0.0082 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:08.7289393Z triton_bmm_1500 0.0082 ms 95.3% 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=5, num_warps=8 2025-09-07T10:47:08.7290610Z triton_bmm_1498 0.0084 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:08.7291575Z SingleProcess AUTOTUNE benchmarking takes 0.1730 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:47:08.9290862Z Autotune Choices Stats: 2025-09-07T10:47:08.9291983Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009631999768316746, "best_triton_pos": 1, "best_triton_time": 0.010528000071644783, "best_triton_kernel": "triton_mm_1509", "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"} 2025-09-07T10:47:08.9367651Z AUTOTUNE mm(1576x960, 960x320) 2025-09-07T10:47:08.9368080Z strides: [960, 1], [320, 1] 2025-09-07T10:47:08.9368479Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:08.9368896Z mm 0.0096 ms 100.0% 2025-09-07T10:47:08.9369834Z triton_mm_1509 0.0105 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:08.9371735Z triton_mm_1513 0.0115 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:08.9373310Z triton_mm_1508 0.0122 ms 79.2% 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 2025-09-07T10:47:08.9374909Z triton_mm_1512 0.0127 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.9375821Z triton_mm_1519 0.0127 ms 76.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:08.9376736Z triton_mm_1505 0.0127 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:08.9377641Z triton_mm_1504 0.0138 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:08.9378544Z triton_mm_1518 0.0138 ms 69.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:08.9379470Z triton_mm_1511 0.0139 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:08.9380366Z SingleProcess AUTOTUNE benchmarking takes 0.2082 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:09.1672763Z Autotune Choices Stats: 2025-09-07T10:47:09.1674403Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01321600005030632, "best_triton_pos": 1, "best_triton_time": 0.013791999779641628, "best_triton_kernel": "triton_mm_1809", "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"} 2025-09-07T10:47:09.1762027Z AUTOTUNE mm(6280x1024, 1024x128) 2025-09-07T10:47:09.1762294Z strides: [1024, 1], [128, 1] 2025-09-07T10:47:09.1762554Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:09.1762806Z mm 0.0132 ms 100.0% 2025-09-07T10:47:09.1763573Z triton_mm_1809 0.0138 ms 95.8% 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 2025-09-07T10:47:09.1764927Z triton_mm_1815 0.0152 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:09.1766120Z triton_mm_1804 0.0159 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:09.1767263Z triton_mm_1808 0.0159 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.1768395Z triton_mm_1805 0.0160 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:09.1769523Z triton_mm_1814 0.0172 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.1771086Z triton_mm_1807 0.0177 ms 74.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:09.1772244Z triton_mm_1801 0.0184 ms 71.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:09.1773389Z triton_mm_1811 0.0185 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 2025-09-07T10:47:09.1774512Z SingleProcess AUTOTUNE benchmarking takes 0.2197 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:09.3634812Z Autotune Choices Stats: 2025-09-07T10:47:09.3635826Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1846", "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": 0.007968000136315823, "best_triton_pos": 0} 2025-09-07T10:47:09.3715660Z AUTOTUNE mm(6280x128, 128x128) 2025-09-07T10:47:09.3715907Z strides: [128, 1], [128, 1] 2025-09-07T10:47:09.3716174Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:09.3716822Z triton_mm_1846 0.0080 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.3717811Z triton_mm_1849 0.0080 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:09.3718791Z triton_mm_1843 0.0080 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:09.3719759Z triton_mm_1844 0.0081 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.3721044Z triton_mm_1847 0.0081 ms 98.0% 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 2025-09-07T10:47:09.3722270Z triton_mm_1848 0.0081 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=3, num_warps=4 2025-09-07T10:47:09.3723245Z triton_mm_1845 0.0082 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:09.3723857Z mm 0.0082 ms 96.9% 2025-09-07T10:47:09.3724533Z triton_mm_1842 0.0083 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:09.3725502Z triton_mm_1839 0.0085 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:09.3726347Z SingleProcess AUTOTUNE benchmarking takes 0.1939 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:09.4841049Z Autotune Choices Stats: 2025-09-07T10:47:09.4842050Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_1888", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.00723200011998415, "best_triton_pos": 0} 2025-09-07T10:47:09.4924692Z AUTOTUNE bmm(64x785x16, 64x16x16) 2025-09-07T10:47:09.4925232Z strides: [12560, 16, 1], [256, 1, 16] 2025-09-07T10:47:09.4925717Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:09.4926799Z triton_bmm_1888 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:09.4928367Z triton_bmm_1889 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.4929916Z triton_bmm_1894 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:09.4932096Z triton_bmm_1887 0.0073 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:09.4933665Z triton_bmm_1890 0.0073 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:09.4935188Z triton_bmm_1891 0.0073 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.4936105Z triton_bmm_1892 0.0073 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:09.4937018Z triton_bmm_1893 0.0073 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:47:09.4937921Z triton_bmm_1884 0.0074 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:47:09.4938832Z triton_bmm_1886 0.0074 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:47:09.4939621Z SingleProcess AUTOTUNE benchmarking takes 0.1203 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:47:09.6174172Z Autotune Choices Stats: 2025-09-07T10:47:09.6175399Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "bmm", "best_time": 0.009247999638319016, "best_triton_pos": 1, "best_triton_time": 0.009247999638319016, "best_triton_kernel": "triton_bmm_1883", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1"} 2025-09-07T10:47:09.6262546Z AUTOTUNE bmm(64x16x785, 64x785x16) 2025-09-07T10:47:09.6262931Z strides: [12560, 1, 16], [12560, 16, 1] 2025-09-07T10:47:09.6263214Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:09.6263514Z bmm 0.0092 ms 100.0% 2025-09-07T10:47:09.6264347Z triton_bmm_1883 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:47:09.6265355Z triton_bmm_1876 0.0094 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:47:09.6266327Z triton_bmm_1882 0.0095 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:47:09.6267287Z triton_bmm_1875 0.0104 ms 88.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:47:09.6268253Z triton_bmm_1879 0.0113 ms 81.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:47:09.6269221Z triton_bmm_1881 0.0115 ms 80.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:47:09.6270188Z triton_bmm_1874 0.0127 ms 72.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:47:09.6271529Z triton_bmm_1880 0.0136 ms 67.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:47:09.6272487Z triton_bmm_1878 0.0204 ms 45.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:47:09.6273331Z SingleProcess AUTOTUNE benchmarking takes 0.1331 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:47:09.7401513Z Autotune Choices Stats: 2025-09-07T10:47:09.7402479Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_1901", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.007199999876320362, "best_triton_pos": 0} 2025-09-07T10:47:09.7479285Z AUTOTUNE bmm(64x785x16, 64x16x16) 2025-09-07T10:47:09.7479542Z strides: [12608, 16, 1], [256, 16, 1] 2025-09-07T10:47:09.7479829Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:09.7480726Z triton_bmm_1901 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:09.7481743Z triton_bmm_1898 0.0073 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:09.7482728Z triton_bmm_1899 0.0073 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:09.7483693Z triton_bmm_1900 0.0073 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.7484865Z triton_bmm_1895 0.0073 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:47:09.7485852Z triton_bmm_1902 0.0073 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.7486837Z triton_bmm_1904 0.0073 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:47:09.7487961Z triton_bmm_1905 0.0073 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:09.7488960Z triton_bmm_1896 0.0073 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:47:09.7489940Z triton_bmm_1897 0.0073 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:47:09.7490953Z SingleProcess AUTOTUNE benchmarking takes 0.1204 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:47:09.8693092Z Autotune Choices Stats: 2025-09-07T10:47:09.8694079Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_bmm_1908", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.007552000228315592, "best_triton_pos": 0} 2025-09-07T10:47:09.8768157Z AUTOTUNE bmm(64x16x16, 64x16x785) 2025-09-07T10:47:09.8768449Z strides: [256, 16, 1], [12560, 1, 16] 2025-09-07T10:47:09.8768720Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:09.8777317Z triton_bmm_1908 0.0076 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:09.8778391Z triton_bmm_1910 0.0076 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:09.8779321Z triton_bmm_1915 0.0076 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:09.8780415Z triton_bmm_1911 0.0076 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.8781329Z triton_bmm_1906 0.0077 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:47:09.8782239Z triton_bmm_1907 0.0077 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:47:09.8783214Z triton_bmm_1909 0.0077 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:47:09.8784110Z triton_bmm_1914 0.0077 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:09.8785020Z triton_bmm_1916 0.0077 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:47:09.8785850Z triton_bmm_1912 0.0078 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:09.8786826Z SingleProcess AUTOTUNE benchmarking takes 0.1283 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:47:10.0689838Z Autotune Choices Stats: 2025-09-07T10:47:10.0691248Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009920000098645687, "best_triton_pos": 1, "best_triton_time": 0.010143999941647053, "best_triton_kernel": "triton_mm_1930", "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"} 2025-09-07T10:47:10.0766450Z AUTOTUNE mm(6280x384, 384x128) 2025-09-07T10:47:10.0766732Z strides: [384, 1], [128, 1] 2025-09-07T10:47:10.0766996Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:10.0767290Z mm 0.0099 ms 100.0% 2025-09-07T10:47:10.0767897Z triton_mm_1930 0.0101 ms 97.8% 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 2025-09-07T10:47:10.0769149Z triton_mm_1925 0.0105 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:10.0770122Z triton_mm_1929 0.0108 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.0771280Z triton_mm_1936 0.0108 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:10.0772256Z triton_mm_1928 0.0110 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:10.0773205Z triton_mm_1932 0.0111 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:10.0774229Z triton_mm_1935 0.0115 ms 86.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.0775227Z triton_mm_1926 0.0117 ms 84.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:10.0776127Z triton_mm_1921 0.0118 ms 84.2% 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 2025-09-07T10:47:10.0776912Z SingleProcess AUTOTUNE benchmarking takes 0.1992 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:47:10.3122015Z Autotune Choices Stats: 2025-09-07T10:47:10.3123001Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2200", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.01894400082528591, "best_triton_pos": 0} 2025-09-07T10:47:10.3201325Z AUTOTUNE mm(25096x512, 512x64) 2025-09-07T10:47:10.3201580Z strides: [512, 1], [64, 1] 2025-09-07T10:47:10.3201821Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:10.3202484Z triton_mm_2200 0.0189 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.3203484Z triton_mm_2196 0.0193 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:10.3204553Z triton_mm_2205 0.0197 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.3205638Z mm 0.0197 ms 96.1% 2025-09-07T10:47:10.3206250Z triton_mm_2206 0.0210 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:10.3207250Z triton_mm_2197 0.0211 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:10.3208462Z triton_mm_2201 0.0211 ms 89.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:10.3209475Z triton_mm_2198 0.0213 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.3210847Z triton_mm_2199 0.0214 ms 88.5% 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 2025-09-07T10:47:10.3211906Z triton_mm_2203 0.0215 ms 88.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:10.3212780Z SingleProcess AUTOTUNE benchmarking takes 0.2075 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:47:10.5035689Z Autotune Choices Stats: 2025-09-07T10:47:10.5036678Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2232", "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": 0.0081599997356534, "best_triton_pos": 0} 2025-09-07T10:47:10.5113782Z AUTOTUNE mm(25096x64, 64x64) 2025-09-07T10:47:10.5114050Z strides: [64, 1], [64, 1] 2025-09-07T10:47:10.5114365Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:10.5115085Z triton_mm_2232 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:10.5116060Z triton_mm_2235 0.0084 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:10.5117022Z triton_mm_2234 0.0085 ms 96.2% 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 2025-09-07T10:47:10.5117996Z triton_mm_2236 0.0085 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.5118956Z triton_mm_2237 0.0085 ms 96.2% 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=4, num_warps=4 2025-09-07T10:47:10.5119910Z triton_mm_2231 0.0085 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:10.5121158Z triton_mm_2233 0.0086 ms 94.8% 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=5, num_warps=4 2025-09-07T10:47:10.5122140Z triton_mm_2242 0.0087 ms 94.1% 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 2025-09-07T10:47:10.5123108Z triton_mm_2241 0.0088 ms 92.4% 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 2025-09-07T10:47:10.5124072Z triton_mm_2239 0.0089 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:10.5125178Z SingleProcess AUTOTUNE benchmarking takes 0.1824 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:47:10.6266578Z Autotune Choices Stats: 2025-09-07T10:47:10.6267553Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_2273", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009151999838650227, "best_triton_pos": 0} 2025-09-07T10:47:10.6343090Z AUTOTUNE bmm(64x3137x8, 64x8x8) 2025-09-07T10:47:10.6343420Z strides: [25096, 8, 1], [64, 1, 8] 2025-09-07T10:47:10.6343688Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:10.6344361Z triton_bmm_2273 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:10.6345352Z triton_bmm_2279 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:10.6346332Z triton_bmm_2277 0.0092 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:10.6347285Z triton_bmm_2272 0.0092 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:10.6348256Z triton_bmm_2274 0.0093 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.6349226Z triton_bmm_2275 0.0093 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:10.6350177Z triton_bmm_2278 0.0093 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:47:10.6351496Z triton_bmm_2276 0.0097 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.6352474Z triton_bmm_2269 0.0101 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:47:10.6353439Z triton_bmm_2270 0.0102 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:47:10.6354294Z SingleProcess AUTOTUNE benchmarking takes 0.1224 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:47:10.7833124Z Autotune Choices Stats: 2025-09-07T10:47:10.7834100Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_2261", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1", "best_time": 0.014175999909639359, "best_triton_pos": 0} 2025-09-07T10:47:10.7908702Z AUTOTUNE bmm(64x8x3137, 64x3137x8) 2025-09-07T10:47:10.7908973Z strides: [25096, 1, 8], [25096, 8, 1] 2025-09-07T10:47:10.7909266Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:10.7909953Z triton_bmm_2261 0.0142 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:47:10.7911278Z triton_bmm_2267 0.0161 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:47:10.7912561Z triton_bmm_2268 0.0168 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:47:10.7913175Z bmm 0.0173 ms 81.9% 2025-09-07T10:47:10.7913753Z triton_bmm_2260 0.0217 ms 65.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:47:10.7915070Z triton_bmm_2264 0.0244 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:47:10.7916085Z triton_bmm_2266 0.0259 ms 54.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:47:10.7917078Z triton_bmm_2259 0.0299 ms 47.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:47:10.7918072Z triton_bmm_2265 0.0339 ms 41.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:47:10.7919046Z triton_bmm_2263 0.0601 ms 23.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:47:10.7919896Z SingleProcess AUTOTUNE benchmarking takes 0.1561 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:47:10.9049614Z Autotune Choices Stats: 2025-09-07T10:47:10.9050906Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_2285", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.00886400043964386, "best_triton_pos": 0} 2025-09-07T10:47:10.9125279Z AUTOTUNE bmm(64x3137x8, 64x8x8) 2025-09-07T10:47:10.9125616Z strides: [25152, 8, 1], [64, 8, 1] 2025-09-07T10:47:10.9125917Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:10.9126621Z triton_bmm_2285 0.0089 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.9127700Z triton_bmm_2283 0.0090 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:10.9128767Z triton_bmm_2286 0.0090 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:10.9129842Z triton_bmm_2284 0.0090 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:10.9131113Z triton_bmm_2288 0.0091 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:10.9132199Z triton_bmm_2289 0.0091 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:47:10.9133288Z triton_bmm_2290 0.0092 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:10.9134411Z triton_bmm_2287 0.0095 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:10.9135507Z triton_bmm_2280 0.0099 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:47:10.9136713Z triton_bmm_2282 0.0099 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:47:10.9137571Z SingleProcess AUTOTUNE benchmarking takes 0.1212 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:47:11.0436128Z Autotune Choices Stats: 2025-09-07T10:47:11.0437258Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_bmm_2299", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.008352000266313553, "best_triton_pos": 0} 2025-09-07T10:47:11.0515834Z AUTOTUNE bmm(64x8x8, 64x8x3144) 2025-09-07T10:47:11.0516107Z strides: [64, 8, 1], [25152, 1, 8] 2025-09-07T10:47:11.0516369Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:11.0517034Z triton_bmm_2299 0.0084 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:11.0518065Z triton_bmm_2297 0.0084 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:11.0519060Z triton_bmm_2293 0.0091 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:47:11.0520089Z triton_bmm_2301 0.0091 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:47:11.0521230Z triton_bmm_2295 0.0092 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:11.0522225Z triton_bmm_2296 0.0092 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:11.0523204Z triton_bmm_2298 0.0092 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:11.0524180Z triton_bmm_2300 0.0092 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:47:11.0525148Z triton_bmm_2302 0.0092 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:11.0526060Z triton_bmm_2291 0.0100 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:47:11.0526860Z SingleProcess AUTOTUNE benchmarking takes 0.1383 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:47:11.2345123Z Autotune Choices Stats: 2025-09-07T10:47:11.2346220Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2314", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.011103999800980091, "best_triton_pos": 0} 2025-09-07T10:47:11.2422127Z AUTOTUNE mm(25096x192, 192x64) 2025-09-07T10:47:11.2422446Z strides: [192, 1], [64, 1] 2025-09-07T10:47:11.2422780Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:11.2423449Z triton_mm_2314 0.0111 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:11.2424424Z triton_mm_2310 0.0111 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:11.2426115Z triton_mm_2319 0.0116 ms 96.1% 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=3, num_warps=4 2025-09-07T10:47:11.2426741Z mm 0.0117 ms 94.8% 2025-09-07T10:47:11.2427328Z triton_mm_2312 0.0118 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:11.2428545Z triton_mm_2313 0.0119 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:11.2429508Z triton_mm_2317 0.0123 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:11.2430723Z triton_mm_2316 0.0124 ms 89.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:11.2431682Z triton_mm_2309 0.0129 ms 85.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:47:11.2432635Z triton_mm_2320 0.0131 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:11.2433482Z SingleProcess AUTOTUNE benchmarking takes 0.1899 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:47:24.7216534Z pass 2025-09-07T10:47:30.6034333Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:47:30.6035590Z import pynvml # type: ignore[import] 2025-09-07T10:47:33.6264977Z 2025-09-07T10:47:34.5749493Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:47:34.5749867Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:47:34.5750149Z cuda train convmixer_768_32 2025-09-07T10:47:57.0933943Z Autotune Choices Stats: 2025-09-07T10:47:57.0935443Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.06159999966621399, "best_triton_pos": 1, "best_triton_time": 0.10255999863147736, "best_triton_kernel": "triton_convolution2d_5", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:47:57.1011988Z AUTOTUNE convolution(8x3x224x224, 768x3x7x7) 2025-09-07T10:47:57.1012332Z strides: [150528, 1, 672, 3], [147, 1, 21, 3] 2025-09-07T10:47:57.1012630Z dtypes: torch.float16, torch.float16 2025-09-07T10:47:57.1012955Z convolution 0.0616 ms 100.0% 2025-09-07T10:47:57.1013711Z triton_convolution2d_5 0.1026 ms 60.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:47:57.1014956Z triton_convolution2d_4 0.1133 ms 54.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:47:57.1016168Z triton_convolution2d_3 0.1159 ms 53.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:47:57.1017397Z triton_convolution2d_6 0.1340 ms 46.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:47:57.1019086Z triton_convolution2d_2 0.1586 ms 38.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:47:57.1020704Z triton_convolution2d_0 0.2019 ms 30.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:47:57.1021884Z triton_convolution2d_1 0.2506 ms 24.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:47:57.1022869Z SingleProcess AUTOTUNE benchmarking takes 0.2040 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:47:57.4167483Z Autotune Choices Stats: 2025-09-07T10:47:57.4168829Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.022495999932289124, "best_triton_pos": 1, "best_triton_time": 0.027775999158620834, "best_triton_kernel": "triton_mm_24", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:47:57.4246070Z AUTOTUNE addmm(8192x768, 8192x768, 768x768) 2025-09-07T10:47:57.4246396Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:47:57.4246729Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:47:57.4247060Z bias_addmm 0.0225 ms 100.0% 2025-09-07T10:47:57.4247737Z triton_mm_24 0.0278 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 2025-09-07T10:47:57.4248730Z triton_mm_18 0.0286 ms 78.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:57.4249658Z triton_mm_25 0.0305 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:47:57.4250376Z addmm 0.0325 ms 69.2% 2025-09-07T10:47:57.4250910Z triton_mm_17 0.0343 ms 65.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:57.4251805Z triton_mm_21 0.0346 ms 65.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:47:57.4252703Z triton_mm_23 0.0348 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:47:57.4253605Z triton_mm_14 0.0358 ms 62.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:47:57.4254502Z triton_mm_19 0.0368 ms 61.1% 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 2025-09-07T10:47:57.4255296Z SingleProcess AUTOTUNE benchmarking takes 0.3219 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:48:14.9289561Z pass 2025-09-07T10:48:19.9707025Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:48:19.9708277Z import pynvml # type: ignore[import] 2025-09-07T10:48:23.0188755Z 2025-09-07T10:48:26.3913955Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:48:26.3914304Z loading model: 0it [00:03, ?it/s] 2025-09-07T10:48:26.3914608Z cuda train convnext_base 2025-09-07T10:48:51.1276485Z Autotune Choices Stats: 2025-09-07T10:48:51.1278324Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.02147199958562851, "best_triton_pos": 1, "best_triton_time": 0.024383999407291412, "best_triton_kernel": "triton_mm_16", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:48:51.1356866Z AUTOTUNE addmm(25088x512, 25088x128, 128x512) 2025-09-07T10:48:51.1357152Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T10:48:51.1357440Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:51.1357770Z bias_addmm 0.0215 ms 100.0% 2025-09-07T10:48:51.1358390Z triton_mm_16 0.0244 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=3, num_warps=4 2025-09-07T10:48:51.1359373Z triton_mm_20 0.0248 ms 86.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:51.1360728Z triton_mm_23 0.0248 ms 86.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:51.1361704Z triton_mm_24 0.0251 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=3, num_warps=4 2025-09-07T10:48:51.1362674Z triton_mm_17 0.0255 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:51.1363642Z triton_mm_21 0.0257 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:51.1364571Z triton_mm_18 0.0258 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:51.1365445Z triton_mm_13 0.0262 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:48:51.1366322Z triton_mm_19 0.0265 ms 81.0% 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 2025-09-07T10:48:51.1367117Z SingleProcess AUTOTUNE benchmarking takes 0.2848 seconds and 0.0004 seconds precompiling for 21 choices 2025-09-07T10:48:51.7244211Z Autotune Choices Stats: 2025-09-07T10:48:51.7245601Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.015456000342965126, "best_triton_pos": 1, "best_triton_time": 0.01759999990463257, "best_triton_kernel": "triton_mm_145", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:48:51.7322757Z AUTOTUNE addmm(6272x1024, 6272x256, 256x1024) 2025-09-07T10:48:51.7323087Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:48:51.7323476Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:51.7323889Z bias_addmm 0.0155 ms 100.0% 2025-09-07T10:48:51.7324653Z triton_mm_145 0.0176 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:51.7325720Z triton_mm_139 0.0177 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:51.7327325Z triton_mm_144 0.0190 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:51.7328333Z triton_mm_142 0.0200 ms 77.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:51.7329587Z triton_mm_141 0.0201 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:51.7331181Z triton_mm_137 0.0202 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:51.7332187Z triton_mm_138 0.0202 ms 76.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:51.7333217Z triton_mm_146 0.0210 ms 73.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:51.7334222Z triton_mm_135 0.0213 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:48:51.7335005Z SingleProcess AUTOTUNE benchmarking takes 0.2825 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:48:52.2884295Z Autotune Choices Stats: 2025-09-07T10:48:52.2886024Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_75", "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": 0.020128000527620316, "best_triton_pos": 0} 2025-09-07T10:48:52.2965573Z AUTOTUNE addmm(25088x128, 25088x512, 512x128) 2025-09-07T10:48:52.2965944Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:48:52.2966267Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:52.2967017Z triton_mm_75 0.0201 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:52.2968086Z triton_mm_81 0.0213 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:52.2968729Z bias_addmm 0.0224 ms 89.7% 2025-09-07T10:48:52.2969368Z triton_mm_76 0.0239 ms 84.2% 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 2025-09-07T10:48:52.2970872Z triton_mm_71 0.0240 ms 83.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:48:52.2971919Z triton_mm_80 0.0242 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:52.2972922Z triton_mm_74 0.0245 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=4, num_warps=8 2025-09-07T10:48:52.2974011Z triton_mm_82 0.0246 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 2025-09-07T10:48:52.2974922Z triton_mm_73 0.0247 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:52.2975817Z triton_mm_77 0.0253 ms 79.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:52.2977027Z SingleProcess AUTOTUNE benchmarking takes 0.2782 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:48:52.8611347Z Autotune Choices Stats: 2025-09-07T10:48:52.8613341Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.013407999649643898, "best_triton_pos": 1, "best_triton_time": 0.014495999552309513, "best_triton_kernel": "triton_mm_266", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:48:52.8692252Z AUTOTUNE addmm(1568x2048, 1568x512, 512x2048) 2025-09-07T10:48:52.8692581Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:48:52.8692906Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:52.8693293Z bias_addmm 0.0134 ms 100.0% 2025-09-07T10:48:52.8693978Z triton_mm_266 0.0145 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:52.8694956Z triton_mm_260 0.0158 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 2025-09-07T10:48:52.8695905Z triton_mm_258 0.0161 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=3, num_warps=4 2025-09-07T10:48:52.8696852Z triton_mm_265 0.0161 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:52.8697795Z triton_mm_262 0.0171 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:52.8698763Z triton_mm_267 0.0176 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:52.8699711Z triton_mm_256 0.0184 ms 72.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:48:52.8701031Z triton_mm_255 0.0189 ms 70.8% 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 2025-09-07T10:48:52.8701966Z triton_mm_259 0.0191 ms 70.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:52.8702895Z SingleProcess AUTOTUNE benchmarking takes 0.2750 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:48:54.0735687Z Autotune Choices Stats: 2025-09-07T10:48:54.0737057Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.014688000082969666, "best_triton_pos": 1, "best_triton_time": 0.01616000011563301, "best_triton_kernel": "triton_mm_203", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:48:54.0819910Z AUTOTUNE addmm(6272x256, 6272x1024, 1024x256) 2025-09-07T10:48:54.0820411Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:48:54.0820774Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:54.0821098Z bias_addmm 0.0147 ms 100.0% 2025-09-07T10:48:54.0821738Z triton_mm_203 0.0162 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:54.0822839Z triton_mm_196 0.0168 ms 87.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:54.0824538Z triton_mm_192 0.0173 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:48:54.0825430Z triton_mm_202 0.0178 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:54.0826601Z triton_mm_197 0.0190 ms 77.3% 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 2025-09-07T10:48:54.0827507Z triton_mm_195 0.0194 ms 75.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:54.0828082Z addmm 0.0194 ms 75.6% 2025-09-07T10:48:54.0828629Z triton_mm_199 0.0196 ms 74.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:54.0829536Z triton_mm_193 0.0207 ms 71.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:48:54.0830460Z SingleProcess AUTOTUNE benchmarking takes 0.2799 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:48:54.6089477Z Autotune Choices Stats: 2025-09-07T10:48:54.6091116Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.013632000423967838, "best_triton_pos": 1, "best_triton_time": 0.014688000082969666, "best_triton_kernel": "triton_mm_1300", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:48:54.6203971Z AUTOTUNE addmm(392x4096, 392x1024, 1024x4096) 2025-09-07T10:48:54.6204356Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:48:54.6204693Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:54.6205022Z bias_addmm 0.0136 ms 100.0% 2025-09-07T10:48:54.6205690Z triton_mm_1300 0.0147 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:54.6206757Z triton_mm_1293 0.0158 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:54.6207785Z triton_mm_1289 0.0166 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:48:54.6208815Z triton_mm_1299 0.0166 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:54.6209854Z triton_mm_1294 0.0180 ms 75.8% 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 2025-09-07T10:48:54.6213660Z triton_mm_1296 0.0180 ms 75.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:54.6215369Z triton_mm_1292 0.0182 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:54.6216029Z addmm 0.0189 ms 72.2% 2025-09-07T10:48:54.6216651Z triton_mm_1291 0.0211 ms 64.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:54.6218076Z SingleProcess AUTOTUNE benchmarking takes 0.2860 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T10:48:55.4948936Z Autotune Choices Stats: 2025-09-07T10:48:55.4950433Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.014560000039637089, "best_triton_pos": 1, "best_triton_time": 0.01500799972563982, "best_triton_kernel": "triton_mm_318", "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"} 2025-09-07T10:48:55.5031615Z AUTOTUNE addmm(1568x512, 1568x2048, 2048x512) 2025-09-07T10:48:55.5032003Z strides: [0, 1], [2048, 1], [1, 2048] 2025-09-07T10:48:55.5032320Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:55.5032644Z bias_addmm 0.0146 ms 100.0% 2025-09-07T10:48:55.5033259Z triton_mm_318 0.0150 ms 97.0% 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 2025-09-07T10:48:55.5034297Z triton_mm_324 0.0188 ms 77.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:55.5035369Z triton_mm_314 0.0200 ms 72.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:48:55.5035978Z addmm 0.0201 ms 72.5% 2025-09-07T10:48:55.5036563Z triton_mm_317 0.0209 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:55.5037528Z triton_mm_313 0.0210 ms 69.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:48:55.5038505Z triton_mm_323 0.0229 ms 63.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:55.5039475Z triton_mm_316 0.0250 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:55.5040614Z triton_mm_320 0.0253 ms 57.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:55.5041467Z SingleProcess AUTOTUNE benchmarking takes 0.2866 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:48:57.2664096Z Autotune Choices Stats: 2025-09-07T10:48:57.2665458Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.016575999557971954, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_mm_1347", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:48:57.2746544Z AUTOTUNE addmm(392x1024, 392x4096, 4096x1024) 2025-09-07T10:48:57.2746874Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-07T10:48:57.2747189Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:57.2747503Z bias_addmm 0.0166 ms 100.0% 2025-09-07T10:48:57.2748136Z triton_mm_1347 0.0174 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 2025-09-07T10:48:57.2748758Z addmm 0.0206 ms 80.4% 2025-09-07T10:48:57.2749349Z triton_mm_1351 0.0209 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 2025-09-07T10:48:57.2750476Z triton_mm_1343 0.0271 ms 61.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:48:57.2752062Z triton_mm_1357 0.0281 ms 58.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:57.2753036Z triton_mm_1346 0.0339 ms 48.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:48:57.2754278Z triton_mm_1350 0.0345 ms 48.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:57.2755424Z triton_mm_1340 0.0356 ms 46.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:48:57.2756404Z triton_mm_1342 0.0368 ms 45.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:57.2757258Z SingleProcess AUTOTUNE benchmarking takes 0.3191 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T10:49:00.0819982Z Autotune Choices Stats: 2025-09-07T10:49:00.0821616Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_5", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.02319999970495701, "best_triton_pos": 0} 2025-09-07T10:49:00.0900632Z AUTOTUNE convolution(8x3x224x224, 128x3x4x4) 2025-09-07T10:49:00.0900978Z strides: [150528, 1, 672, 3], [48, 1, 12, 3] 2025-09-07T10:49:00.0901273Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:00.0902055Z triton_convolution2d_5 0.0232 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.0902935Z convolution 0.0234 ms 99.2% 2025-09-07T10:49:00.0903672Z triton_convolution2d_4 0.0235 ms 98.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.0904907Z triton_convolution2d_0 0.0253 ms 91.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.0906213Z triton_convolution2d_3 0.0255 ms 91.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.0907283Z triton_convolution2d_6 0.0304 ms 76.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.0908350Z triton_convolution2d_2 0.0375 ms 61.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:49:00.0909428Z triton_convolution2d_1 0.0694 ms 33.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=0, PADDING_W=0, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.0910419Z SingleProcess AUTOTUNE benchmarking takes 0.1146 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:49:00.1931517Z Autotune Choices Stats: 2025-09-07T10:49:00.1932902Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.015200000256299973, "best_triton_pos": 1, "best_triton_time": 0.017632000148296356, "best_triton_kernel": "triton_convolution2d_125", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:49:00.2012861Z AUTOTUNE convolution(8x128x56x56, 256x128x2x2) 2025-09-07T10:49:00.2013284Z strides: [401408, 1, 7168, 128], [512, 1, 256, 128] 2025-09-07T10:49:00.2013607Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:00.2013884Z convolution 0.0152 ms 100.0% 2025-09-07T10:49:00.2015181Z triton_convolution2d_125 0.0176 ms 86.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.2016531Z triton_convolution2d_126 0.0203 ms 75.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.2017724Z triton_convolution2d_124 0.0214 ms 70.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.2018896Z triton_convolution2d_127 0.0227 ms 67.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.2020058Z triton_convolution2d_121 0.0284 ms 53.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.2021372Z triton_convolution2d_122 0.0288 ms 52.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.2022530Z triton_convolution2d_123 0.0503 ms 30.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:49:00.2023550Z SingleProcess AUTOTUNE benchmarking takes 0.1066 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:49:00.3144131Z Autotune Choices Stats: 2025-09-07T10:49:00.3145505Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01484800036996603, "best_triton_pos": 1, "best_triton_time": 0.02735999971628189, "best_triton_kernel": "triton_convolution2d_246", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:49:00.3227315Z AUTOTUNE convolution(8x256x28x28, 512x256x2x2) 2025-09-07T10:49:00.3227711Z strides: [200704, 1, 7168, 256], [1024, 1, 512, 256] 2025-09-07T10:49:00.3228024Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:00.3228290Z convolution 0.0148 ms 100.0% 2025-09-07T10:49:00.3229026Z triton_convolution2d_246 0.0274 ms 54.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.3230585Z triton_convolution2d_245 0.0325 ms 45.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.3231808Z triton_convolution2d_247 0.0337 ms 44.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.3233339Z triton_convolution2d_248 0.0342 ms 43.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.3234535Z triton_convolution2d_242 0.0451 ms 33.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.3235968Z triton_convolution2d_243 0.0466 ms 31.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.3237265Z triton_convolution2d_244 0.0955 ms 15.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:49:00.3238244Z SingleProcess AUTOTUNE benchmarking takes 0.1162 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:49:00.4785278Z Autotune Choices Stats: 2025-09-07T10:49:00.4786666Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01587199978530407, "best_triton_pos": 1, "best_triton_time": 0.04947200044989586, "best_triton_kernel": "triton_convolution2d_1279", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:49:00.4866071Z AUTOTUNE convolution(8x512x14x14, 1024x512x2x2) 2025-09-07T10:49:00.4866441Z strides: [100352, 1, 7168, 512], [2048, 1, 1024, 512] 2025-09-07T10:49:00.4866758Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:00.4867040Z convolution 0.0159 ms 100.0% 2025-09-07T10:49:00.4867780Z triton_convolution2d_1279 0.0495 ms 32.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.4869022Z triton_convolution2d_1278 0.0608 ms 26.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.4870580Z triton_convolution2d_1280 0.0610 ms 26.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.4871814Z triton_convolution2d_1281 0.0622 ms 25.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:49:00.4873033Z triton_convolution2d_1276 0.0846 ms 18.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.4874245Z triton_convolution2d_1275 0.0867 ms 18.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:49:00.4875471Z triton_convolution2d_1277 0.1292 ms 12.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=2, KERNEL_W=2, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:49:00.4876629Z SingleProcess AUTOTUNE benchmarking takes 0.1416 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:49:00.7286679Z Autotune Choices Stats: 2025-09-07T10:49:00.7287779Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1400", "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": 0.008704000152647495, "best_triton_pos": 0} 2025-09-07T10:49:00.7372765Z AUTOTUNE addmm(8x1000, 8x1024, 1024x1000) 2025-09-07T10:49:00.7373067Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:49:00.7373379Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:49:00.7374091Z triton_mm_1400 0.0087 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:49:00.7375334Z triton_mm_1404 0.0092 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:00.7376029Z bias_addmm 0.0094 ms 92.5% 2025-09-07T10:49:00.7376633Z triton_mm_1408 0.0104 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:49:00.7377542Z triton_mm_1412 0.0110 ms 79.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:00.7378434Z triton_mm_1399 0.0116 ms 75.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:49:00.7379319Z triton_mm_1398 0.0121 ms 72.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:00.7380527Z triton_mm_1403 0.0123 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:00.7381444Z triton_mm_1397 0.0128 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:49:00.7382349Z triton_mm_1407 0.0128 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:00.7383226Z SingleProcess AUTOTUNE benchmarking takes 0.2460 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:49:26.6000639Z Autotune Choices Stats: 2025-09-07T10:49:26.6002045Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.018912000581622124, "best_triton_pos": 1, "best_triton_time": 0.02143999934196472, "best_triton_kernel": "triton_mm_3963", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:49:26.6088501Z AUTOTUNE mm(25088x128, 128x512) 2025-09-07T10:49:26.6088850Z strides: [128, 1], [512, 1] 2025-09-07T10:49:26.6089166Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:26.6089486Z mm 0.0189 ms 100.0% 2025-09-07T10:49:26.6090185Z triton_mm_3963 0.0214 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:26.6091557Z triton_mm_3970 0.0220 ms 86.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:26.6092725Z triton_mm_3971 0.0226 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 2025-09-07T10:49:26.6093964Z triton_mm_3967 0.0227 ms 83.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:26.6094969Z triton_mm_3965 0.0232 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:26.6096437Z triton_mm_3964 0.0235 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:26.6097416Z triton_mm_3960 0.0238 ms 79.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:49:26.6098632Z triton_mm_3968 0.0239 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 2025-09-07T10:49:26.6099620Z triton_mm_3966 0.0244 ms 77.6% 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 2025-09-07T10:49:26.6100617Z SingleProcess AUTOTUNE benchmarking takes 0.2396 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:49:27.1778502Z Autotune Choices Stats: 2025-09-07T10:49:27.1779765Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.014112000353634357, "best_triton_pos": 1, "best_triton_time": 0.01571200042963028, "best_triton_kernel": "triton_mm_3743", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:49:27.1862350Z AUTOTUNE mm(6272x256, 256x1024) 2025-09-07T10:49:27.1862769Z strides: [256, 1], [1024, 1] 2025-09-07T10:49:27.1863082Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:27.1863348Z mm 0.0141 ms 100.0% 2025-09-07T10:49:27.1863978Z triton_mm_3743 0.0157 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.1864999Z triton_mm_3737 0.0161 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.1866062Z triton_mm_3735 0.0172 ms 82.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.1867029Z triton_mm_3742 0.0175 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.1868007Z triton_mm_3736 0.0177 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 2025-09-07T10:49:27.1868975Z triton_mm_3744 0.0178 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:27.1869933Z triton_mm_3739 0.0182 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.1871798Z triton_mm_3740 0.0182 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:27.1872746Z triton_mm_3733 0.0196 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:27.1873681Z SingleProcess AUTOTUNE benchmarking takes 0.2302 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:27.7408490Z Autotune Choices Stats: 2025-09-07T10:49:27.7409789Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013824000023305416, "best_triton_pos": 1, "best_triton_time": 0.013919999822974205, "best_triton_kernel": "triton_mm_1482", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:49:27.7495059Z AUTOTUNE mm(1024x392, 392x4096) 2025-09-07T10:49:27.7495318Z strides: [1, 1024], [4096, 1] 2025-09-07T10:49:27.7495549Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:27.7495797Z mm 0.0138 ms 100.0% 2025-09-07T10:49:27.7496359Z triton_mm_1482 0.0139 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.7497651Z triton_mm_1479 0.0141 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:27.7498629Z triton_mm_1481 0.0141 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.7499564Z triton_mm_1474 0.0142 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.7500964Z triton_mm_1475 0.0142 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:27.7501904Z triton_mm_1478 0.0151 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.7502893Z triton_mm_1476 0.0162 ms 85.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:27.7503830Z triton_mm_1483 0.0162 ms 85.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:27.7504777Z triton_mm_1480 0.0170 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:49:27.7505587Z SingleProcess AUTOTUNE benchmarking takes 0.2276 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:28.1643924Z Autotune Choices Stats: 2025-09-07T10:49:28.1645421Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01360000018030405, "best_triton_pos": 1, "best_triton_time": 0.014015999622642994, "best_triton_kernel": "triton_mm_1512", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:49:28.1729312Z AUTOTUNE mm(4096x392, 392x1024) 2025-09-07T10:49:28.1729598Z strides: [1, 4096], [1024, 1] 2025-09-07T10:49:28.1729884Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:28.1730145Z mm 0.0136 ms 100.0% 2025-09-07T10:49:28.1731349Z triton_mm_1512 0.0140 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.1732378Z triton_mm_1520 0.0140 ms 96.8% 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 2025-09-07T10:49:28.1733393Z triton_mm_1519 0.0141 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.1734495Z triton_mm_1513 0.0142 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:28.1735401Z triton_mm_1517 0.0146 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:28.1736698Z triton_mm_1516 0.0149 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.1737606Z triton_mm_1514 0.0158 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.1738769Z triton_mm_1521 0.0159 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:28.1739685Z triton_mm_1509 0.0170 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:49:28.1740617Z SingleProcess AUTOTUNE benchmarking takes 0.2241 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:28.4773117Z Autotune Choices Stats: 2025-09-07T10:49:28.4774497Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013120000250637531, "best_triton_pos": 1, "best_triton_time": 0.013376000337302685, "best_triton_kernel": "triton_mm_1691", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:49:28.4861616Z AUTOTUNE mm(1568x512, 512x2048) 2025-09-07T10:49:28.4861913Z strides: [512, 1], [2048, 1] 2025-09-07T10:49:28.4862174Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:28.4862464Z mm 0.0131 ms 100.0% 2025-09-07T10:49:28.4863181Z triton_mm_1691 0.0134 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.4864245Z triton_mm_1683 0.0143 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.4865248Z triton_mm_1690 0.0143 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.4866236Z triton_mm_1685 0.0150 ms 87.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.4867201Z triton_mm_1687 0.0153 ms 86.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:28.4868169Z triton_mm_1692 0.0157 ms 83.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:28.4869146Z triton_mm_1684 0.0161 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:28.4870105Z triton_mm_1688 0.0168 ms 77.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:28.4871497Z triton_mm_1681 0.0176 ms 74.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:28.4872346Z SingleProcess AUTOTUNE benchmarking takes 0.2216 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:29.5654367Z Autotune Choices Stats: 2025-09-07T10:49:29.5655684Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012736000120639801, "best_triton_pos": 1, "best_triton_time": 0.01369599997997284, "best_triton_kernel": "triton_mm_1464", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:49:29.5737104Z AUTOTUNE mm(392x1024, 1024x4096) 2025-09-07T10:49:29.5737392Z strides: [1024, 1], [4096, 1] 2025-09-07T10:49:29.5737654Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:29.5737916Z mm 0.0127 ms 100.0% 2025-09-07T10:49:29.5738869Z triton_mm_1464 0.0137 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:29.5739889Z triton_mm_1457 0.0149 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:29.5741206Z triton_mm_1463 0.0156 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:29.5742208Z triton_mm_1453 0.0159 ms 79.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:29.5743264Z triton_mm_1456 0.0162 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 2025-09-07T10:49:29.5744290Z triton_mm_1460 0.0164 ms 77.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:29.5745298Z triton_mm_1458 0.0167 ms 76.1% 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 2025-09-07T10:49:29.5746206Z triton_mm_1455 0.0188 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:29.5747118Z triton_mm_1459 0.0193 ms 66.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:29.5747913Z SingleProcess AUTOTUNE benchmarking takes 0.2368 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:30.1292642Z Autotune Choices Stats: 2025-09-07T10:49:30.1294063Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01283199992030859, "best_triton_pos": 1, "best_triton_time": 0.014816000126302242, "best_triton_kernel": "triton_mm_1705", "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"} 2025-09-07T10:49:30.1381314Z AUTOTUNE mm(512x1568, 1568x2048) 2025-09-07T10:49:30.1381611Z strides: [1, 512], [2048, 1] 2025-09-07T10:49:30.1381877Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:30.1382139Z mm 0.0128 ms 100.0% 2025-09-07T10:49:30.1382846Z triton_mm_1705 0.0148 ms 86.6% 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 2025-09-07T10:49:30.1383850Z triton_mm_1701 0.0178 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:30.1384847Z triton_mm_1711 0.0182 ms 70.6% 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 2025-09-07T10:49:30.1385813Z triton_mm_1700 0.0185 ms 69.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:30.1387302Z triton_mm_1704 0.0185 ms 69.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:30.1388265Z triton_mm_1703 0.0188 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:30.1389217Z triton_mm_1707 0.0188 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:30.1390900Z triton_mm_1710 0.0201 ms 63.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:30.1391920Z triton_mm_1702 0.0244 ms 52.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:30.1392770Z SingleProcess AUTOTUNE benchmarking takes 0.2347 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:30.3884932Z Autotune Choices Stats: 2025-09-07T10:49:30.3886405Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.012959999963641167, "best_triton_pos": 1, "best_triton_time": 0.014208000153303146, "best_triton_kernel": "triton_mm_1743", "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"} 2025-09-07T10:49:30.3970939Z AUTOTUNE mm(2048x1568, 1568x512) 2025-09-07T10:49:30.3971203Z strides: [1, 2048], [512, 1] 2025-09-07T10:49:30.3971447Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:30.3971701Z mm 0.0130 ms 100.0% 2025-09-07T10:49:30.3972293Z triton_mm_1743 0.0142 ms 91.2% 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 2025-09-07T10:49:30.3973298Z triton_mm_1749 0.0178 ms 72.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:30.3974280Z triton_mm_1739 0.0178 ms 72.7% 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 2025-09-07T10:49:30.3975272Z triton_mm_1742 0.0182 ms 71.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:30.3976238Z triton_mm_1738 0.0184 ms 70.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:30.3977215Z triton_mm_1741 0.0186 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:30.3978186Z triton_mm_1745 0.0188 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:30.3979160Z triton_mm_1748 0.0198 ms 65.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:30.3980131Z triton_mm_1740 0.0237 ms 54.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:30.3981385Z SingleProcess AUTOTUNE benchmarking takes 0.2350 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:31.1676958Z Autotune Choices Stats: 2025-09-07T10:49:31.1677989Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1435", "best_kernel_desc": "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", "best_time": 0.006399999838322401, "best_triton_pos": 0} 2025-09-07T10:49:31.1759350Z AUTOTUNE mm(1000x8, 8x1024) 2025-09-07T10:49:31.1759632Z strides: [1, 1000], [1024, 1] 2025-09-07T10:49:31.1759893Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:31.1761366Z triton_mm_1435 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:49:31.1762410Z triton_mm_1436 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:31.1763401Z triton_mm_1437 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:31.1764393Z triton_mm_1439 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:31.1765389Z triton_mm_1441 0.0065 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:31.1766370Z triton_mm_1442 0.0065 ms 98.5% 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=4, num_warps=8 2025-09-07T10:49:31.1767336Z triton_mm_1438 0.0065 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:31.1768301Z triton_mm_1432 0.0066 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:31.1769270Z triton_mm_1434 0.0066 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:31.1770387Z triton_mm_1440 0.0066 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:49:31.1771253Z SingleProcess AUTOTUNE benchmarking takes 0.1633 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:49:31.6815716Z Autotune Choices Stats: 2025-09-07T10:49:31.6817715Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019648000597953796, "best_triton_pos": 1, "best_triton_time": 0.02067199908196926, "best_triton_kernel": "triton_mm_3749", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:49:31.6901349Z AUTOTUNE mm(256x6272, 6272x1024) 2025-09-07T10:49:31.6901824Z strides: [1, 256], [1024, 1] 2025-09-07T10:49:31.6902246Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:31.6902663Z mm 0.0196 ms 100.0% 2025-09-07T10:49:31.6903789Z triton_mm_3749 0.0207 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:31.6905499Z triton_mm_3753 0.0215 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 2025-09-07T10:49:31.6906417Z triton_mm_3757 0.0256 ms 76.7% 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 2025-09-07T10:49:31.6907338Z triton_mm_3763 0.0401 ms 49.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:31.6908557Z triton_mm_3748 0.0421 ms 46.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:31.6909447Z triton_mm_3747 0.0440 ms 44.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:31.6910716Z triton_mm_3752 0.0454 ms 43.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:31.6911648Z triton_mm_3756 0.0454 ms 43.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:31.6912711Z triton_mm_3762 0.0509 ms 38.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:31.6913520Z SingleProcess AUTOTUNE benchmarking takes 0.3210 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:32.0449261Z Autotune Choices Stats: 2025-09-07T10:49:32.0451688Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.019872000440955162, "best_triton_pos": 1, "best_triton_time": 0.02127999998629093, "best_triton_kernel": "triton_mm_3787", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:49:32.0532732Z AUTOTUNE mm(1024x6272, 6272x256) 2025-09-07T10:49:32.0533138Z strides: [1, 1024], [256, 1] 2025-09-07T10:49:32.0533547Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:32.0533949Z mm 0.0199 ms 100.0% 2025-09-07T10:49:32.0534861Z triton_mm_3787 0.0213 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:32.0536314Z triton_mm_3791 0.0215 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:32.0537775Z triton_mm_3795 0.0263 ms 75.5% 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 2025-09-07T10:49:32.0539218Z triton_mm_3801 0.0399 ms 49.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:32.0540848Z triton_mm_3786 0.0422 ms 47.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:32.0542263Z triton_mm_3785 0.0438 ms 45.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:32.0543780Z triton_mm_3790 0.0450 ms 44.2% 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 2025-09-07T10:49:32.0545313Z triton_mm_3794 0.0456 ms 43.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:32.0546294Z triton_mm_3800 0.0509 ms 39.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:32.0547080Z SingleProcess AUTOTUNE benchmarking takes 0.3167 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:33.9192157Z Autotune Choices Stats: 2025-09-07T10:49:33.9194338Z {"num_choices": 29, "num_triton_choices": 19, "best_kernel": "decompose_k_mm_7_split_3", "best_kernel_desc": "k_split=7", "best_time": 0.024992000311613083, "best_triton_pos": 4, "best_triton_time": 0.05689600110054016, "best_triton_kernel": "triton_mm_3977", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:49:33.9297364Z AUTOTUNE mm(128x25088, 25088x512) 2025-09-07T10:49:33.9297778Z strides: [1, 128], [512, 1] 2025-09-07T10:49:33.9298782Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:33.9299301Z decompose_k_mm_7_split_3 0.0250 ms 100.0% k_split=7 2025-09-07T10:49:33.9299771Z mm 0.0260 ms 96.3% 2025-09-07T10:49:33.9300136Z decompose_k_mm_4_split_2 0.0285 ms 87.7% k_split=4 2025-09-07T10:49:33.9301133Z decompose_k_mm_2_split_1 0.0299 ms 83.6% k_split=2 2025-09-07T10:49:33.9302144Z triton_mm_3977 0.0569 ms 43.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:33.9303752Z triton_mm_3981 0.0628 ms 39.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:33.9304730Z decompose_k_mm_16_split_6 0.0645 ms 38.7% k_split=16 2025-09-07T10:49:33.9305236Z decompose_k_mm_14_split_5 0.0648 ms 38.6% k_split=14 2025-09-07T10:49:33.9305799Z decompose_k_mm_8_split_4 0.0653 ms 38.3% k_split=8 2025-09-07T10:49:33.9306285Z decompose_k_mm_28_split_7 0.0657 ms 38.1% k_split=28 2025-09-07T10:49:33.9306786Z SingleProcess AUTOTUNE benchmarking takes 1.7861 seconds and 0.0002 seconds precompiling for 29 choices 2025-09-07T10:49:35.0913955Z Autotune Choices Stats: 2025-09-07T10:49:35.0915422Z {"num_choices": 29, "num_triton_choices": 19, "best_kernel": "decompose_k_mm_7_split_12", "best_kernel_desc": "k_split=7", "best_time": 0.02505600079894066, "best_triton_pos": 4, "best_triton_time": 0.05740800127387047, "best_triton_kernel": "triton_mm_4015", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:49:35.1016096Z AUTOTUNE mm(512x25088, 25088x128) 2025-09-07T10:49:35.1016386Z strides: [1, 512], [128, 1] 2025-09-07T10:49:35.1016653Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:35.1016979Z decompose_k_mm_7_split_12 0.0251 ms 100.0% k_split=7 2025-09-07T10:49:35.1017306Z mm 0.0260 ms 96.3% 2025-09-07T10:49:35.1017562Z decompose_k_mm_4_split_11 0.0284 ms 88.1% k_split=4 2025-09-07T10:49:35.1017912Z decompose_k_mm_2_split_10 0.0294 ms 85.2% k_split=2 2025-09-07T10:49:35.1018619Z triton_mm_4015 0.0574 ms 43.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:35.1019624Z triton_mm_4019 0.0630 ms 39.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:35.1020506Z decompose_k_mm_14_split_14 0.0643 ms 39.0% k_split=14 2025-09-07T10:49:35.1020865Z decompose_k_mm_16_split_15 0.0645 ms 38.8% k_split=16 2025-09-07T10:49:35.1021198Z decompose_k_mm_32_split_17 0.0659 ms 38.0% k_split=32 2025-09-07T10:49:35.1021522Z decompose_k_mm_28_split_16 0.0659 ms 38.0% k_split=28 2025-09-07T10:49:35.1022057Z SingleProcess AUTOTUNE benchmarking takes 0.9957 seconds and 0.0002 seconds precompiling for 29 choices 2025-09-07T10:49:36.3456476Z Autotune Choices Stats: 2025-09-07T10:49:36.3458553Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.009184000082314014, "best_triton_pos": 1, "best_triton_time": 0.009600000455975533, "best_triton_kernel": "triton_mm_1421", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:49:36.3546174Z AUTOTUNE mm(8x1000, 1000x1024) 2025-09-07T10:49:36.3546688Z strides: [1000, 1], [1024, 1] 2025-09-07T10:49:36.3547100Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:36.3547356Z mm 0.0092 ms 100.0% 2025-09-07T10:49:36.3547947Z triton_mm_1421 0.0096 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:36.3549278Z triton_mm_1417 0.0098 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:49:36.3550467Z triton_mm_1425 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:49:36.3551482Z triton_mm_1416 0.0114 ms 80.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:49:36.3552458Z triton_mm_1429 0.0115 ms 79.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:36.3553437Z triton_mm_1415 0.0115 ms 79.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:36.3554418Z triton_mm_1420 0.0116 ms 79.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:36.3555385Z triton_mm_1427 0.0127 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:49:36.3556363Z triton_mm_1424 0.0128 ms 71.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:36.3557167Z SingleProcess AUTOTUNE benchmarking takes 0.1928 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:49:36.6269984Z Autotune Choices Stats: 2025-09-07T10:49:36.6271426Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.01587199978530407, "best_triton_pos": 1, "best_triton_time": 0.016287999227643013, "best_triton_kernel": "triton_mm_1492", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:49:36.6358122Z AUTOTUNE mm(392x4096, 4096x1024) 2025-09-07T10:49:36.6358379Z strides: [4096, 1], [1024, 1] 2025-09-07T10:49:36.6358655Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:36.6358913Z mm 0.0159 ms 100.0% 2025-09-07T10:49:36.6359503Z triton_mm_1492 0.0163 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:36.6360686Z triton_mm_1496 0.0203 ms 78.4% 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 2025-09-07T10:49:36.6361704Z triton_mm_1488 0.0252 ms 63.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:36.6362698Z triton_mm_1502 0.0287 ms 55.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:36.6363679Z triton_mm_1495 0.0317 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:36.6372409Z triton_mm_1491 0.0324 ms 49.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:36.6373449Z triton_mm_1501 0.0356 ms 44.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:36.6374720Z triton_mm_1487 0.0364 ms 43.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:36.6375748Z triton_mm_1494 0.0376 ms 42.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:36.6376609Z SingleProcess AUTOTUNE benchmarking takes 0.2793 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:36.8752558Z Autotune Choices Stats: 2025-09-07T10:49:36.8753567Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_1724", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.014368000440299511, "best_triton_pos": 0} 2025-09-07T10:49:36.8838760Z AUTOTUNE mm(1568x2048, 2048x512) 2025-09-07T10:49:36.8839045Z strides: [2048, 1], [512, 1] 2025-09-07T10:49:36.8839332Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:36.8840054Z triton_mm_1724 0.0144 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:49:36.8841097Z mm 0.0147 ms 97.6% 2025-09-07T10:49:36.8841735Z triton_mm_1720 0.0182 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:36.8842807Z triton_mm_1730 0.0186 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:36.8843862Z triton_mm_1723 0.0199 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 2025-09-07T10:49:36.8844926Z triton_mm_1719 0.0204 ms 70.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:36.8845981Z triton_mm_1729 0.0219 ms 65.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:36.8846992Z triton_mm_1722 0.0233 ms 61.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:36.8847895Z triton_mm_1726 0.0236 ms 60.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:36.8848808Z triton_mm_1716 0.0270 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:36.8849598Z SingleProcess AUTOTUNE benchmarking takes 0.2385 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:37.1922442Z Autotune Choices Stats: 2025-09-07T10:49:37.1923805Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.013887999579310417, "best_triton_pos": 1, "best_triton_time": 0.015263999812304974, "best_triton_kernel": "triton_mm_3782", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:49:37.2015228Z AUTOTUNE mm(6272x1024, 1024x256) 2025-09-07T10:49:37.2015619Z strides: [1024, 1], [256, 1] 2025-09-07T10:49:37.2015891Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:37.2016160Z mm 0.0139 ms 100.0% 2025-09-07T10:49:37.2016778Z triton_mm_3782 0.0153 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=5, num_warps=8 2025-09-07T10:49:37.2018183Z triton_mm_3775 0.0164 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 2025-09-07T10:49:37.2019224Z triton_mm_3771 0.0168 ms 82.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:37.2020645Z triton_mm_3781 0.0175 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:37.2021669Z triton_mm_3774 0.0182 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:37.2022659Z triton_mm_3776 0.0183 ms 75.9% 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 2025-09-07T10:49:37.2023738Z triton_mm_3778 0.0191 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=4, num_warps=8 2025-09-07T10:49:37.2024715Z triton_mm_3772 0.0199 ms 69.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:37.2025706Z triton_mm_3773 0.0212 ms 65.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:37.2026659Z SingleProcess AUTOTUNE benchmarking takes 0.2243 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:37.4347515Z Autotune Choices Stats: 2025-09-07T10:49:37.4348588Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_4003", "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": 0.020031999796628952, "best_triton_pos": 0} 2025-09-07T10:49:37.4434673Z AUTOTUNE mm(25088x512, 512x128) 2025-09-07T10:49:37.4434920Z strides: [512, 1], [128, 1] 2025-09-07T10:49:37.4435167Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:37.4435820Z triton_mm_4003 0.0200 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:37.4436527Z mm 0.0207 ms 96.6% 2025-09-07T10:49:37.4437663Z triton_mm_4009 0.0210 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:37.4439326Z triton_mm_4001 0.0222 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:37.4442349Z triton_mm_4010 0.0227 ms 88.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:37.4443911Z triton_mm_4008 0.0232 ms 86.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:37.4446151Z triton_mm_4002 0.0233 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:37.4447663Z triton_mm_3999 0.0235 ms 85.2% 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 2025-09-07T10:49:37.4448794Z triton_mm_4004 0.0236 ms 84.9% 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 2025-09-07T10:49:37.4449712Z triton_mm_4006 0.0246 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:37.4450650Z SingleProcess AUTOTUNE benchmarking takes 0.2294 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:49:52.7746999Z W0907 10:49:52.773000 85826 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:50:46.0069769Z pass 2025-09-07T10:50:52.8145287Z accuracy pass_rate=100.00% 2025-09-07T10:50:52.8151006Z calls_captured gmean=664.47x mean=896.857x 2025-09-07T10:50:52.8154304Z unique_graphs gmean=2.25x mean=2.286x 2025-09-07T10:50:52.8157943Z graph_breaks gmean=6.11x mean=6.143x 2025-09-07T10:50:52.8161826Z unique_graph_breaks gmean=4.84x mean=4.857x 2025-09-07T10:50:52.8165381Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:50:52.8168825Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:50:52.8172711Z cudagraph_skips gmean=0.00x mean=0.143x 2025-09-07T10:50:52.8173883Z compilation_latency mean=91.141 seconds 2025-09-07T10:50:53.8609805Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs_low_precision-true* ]] 2025-09-07T10:50:53.8611575Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:50:53.8611876Z + for target in "${targets[@]}" 2025-09-07T10:50:53.8612159Z + target_flag=('--performance') 2025-09-07T10:50:53.8612415Z + local target_flag 2025-09-07T10:50:53.8612648Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T10:50:53.8612947Z + target_flag+=(--cold-start-latency) 2025-09-07T10:50:53.8614103Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T10:50:53.8616081Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T10:50:53.8618237Z + python benchmarks/dynamo/timm_models.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 7 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_performance.csv 2025-09-07T10:50:54.8497348Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:50:54.8498598Z import pynvml # type: ignore[import] 2025-09-07T10:50:59.6779907Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:50:59.6782070Z import pynvml # type: ignore[import] 2025-09-07T10:51:02.6633044Z 2025-09-07T10:51:04.3749812Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:51:04.3750185Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:51:04.3750829Z cuda train adv_inception_v3 2025-09-07T10:52:34.5769850Z 2025-09-07T10:52:34.7190081Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:53:42.9990011Z 2025-09-07T10:53:43.1258577Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:02:00.3277085Z 2025-09-07T11:02:00.4987283Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:05:03.8088576Z 2025-09-07T11:05:03.9947483Z running benchmark: 0% 0/30 [00:00 2025-09-07T11:10:15.7440715Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T11:10:15.7441603Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 442, in torch_dynamo_resume_in_forward_and_backward_pass_at_440 2025-09-07T11:10:15.7442401Z pred = mod(*cloned_inputs) 2025-09-07T11:10:15.7442786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 377, in forward 2025-09-07T11:10:15.7443172Z x = self.forward_features(x) 2025-09-07T11:10:15.7443569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 366, in forward_features 2025-09-07T11:10:15.7443984Z x = blk(x) 2025-09-07T11:10:15.7444314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 233, in forward 2025-09-07T11:10:15.7444719Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T11:10:15.7445111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 70, in forward 2025-09-07T11:10:15.7445501Z self.rel_indices = self.get_rel_indices(N) 2025-09-07T11:10:15.7446059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 128, in get_rel_indices 2025-09-07T11:10:15.7446833Z return rel_indices.to(device). To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T11:10:15.7447405Z warmup_failed 2025-09-07T11:10:19.2987402Z Run failed with return code: 255 2025-09-07T11:10:19.2987779Z Output: None 2025-09-07T11:10:19.2987982Z Error: None 2025-09-07T11:10:20.3298945Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T11:10:20.3301594Z import pynvml # type: ignore[import] 2025-09-07T11:10:23.3207384Z 2025-09-07T11:10:24.8840113Z loading model: 0it [00:00, ?it/s] 2025-09-07T11:10:24.8840674Z loading model: 0it [00:01, ?it/s] 2025-09-07T11:10:24.8840953Z cuda train convmixer_768_32 2025-09-07T11:11:04.7052975Z 2025-09-07T11:11:05.0260700Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:13:03.6579928Z 2025-09-07T11:13:03.9200962Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:16:17.2940482Z 2025-09-07T11:16:17.5030984Z running benchmark: 0% 0/30 [00:00 2025-09-07T11:21:32.8701658Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T11:21:32.8702537Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 442, in torch_dynamo_resume_in_forward_and_backward_pass_at_440 2025-09-07T11:21:32.8703445Z pred = mod(*cloned_inputs) 2025-09-07T11:21:32.8703818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 377, in forward 2025-09-07T11:21:32.8704213Z x = self.forward_features(x) 2025-09-07T11:21:32.8704614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 366, in forward_features 2025-09-07T11:21:32.8705010Z x = blk(x) 2025-09-07T11:21:32.8705338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 233, in forward 2025-09-07T11:21:32.8705908Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T11:21:32.8706308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 70, in forward 2025-09-07T11:21:32.8706691Z self.rel_indices = self.get_rel_indices(N) 2025-09-07T11:21:32.8707110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 128, in get_rel_indices 2025-09-07T11:21:32.8707908Z return rel_indices.to(device). To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T11:21:32.8708609Z warmup_failed 2025-09-07T11:21:36.3031496Z Run failed with return code: 255 2025-09-07T11:21:36.3031854Z Output: None 2025-09-07T11:21:36.3032064Z Error: None 2025-09-07T11:21:37.3252465Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T11:21:37.3253763Z import pynvml # type: ignore[import] 2025-09-07T11:21:40.3218866Z 2025-09-07T11:21:41.7979917Z loading model: 0it [00:00, ?it/s] 2025-09-07T11:21:41.7980704Z loading model: 0it [00:01, ?it/s] 2025-09-07T11:21:41.7981042Z cuda train convmixer_768_32 2025-09-07T11:22:22.3827933Z 2025-09-07T11:22:22.7411637Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:24:24.8423397Z 2025-09-07T11:24:25.2968449Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:29:03.7249278Z 2025-09-07T11:29:03.8564163Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:44:22.4123705Z 2025-09-07T11:44:22.5917652Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:48:26.7596238Z 2025-09-07T11:48:26.9817883Z running benchmark: 0% 0/30 [00:00 2025-09-07T11:58:11.2863777Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T11:58:11.2864661Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 442, in torch_dynamo_resume_in_forward_and_backward_pass_at_440 2025-09-07T11:58:11.2865579Z pred = mod(*cloned_inputs) 2025-09-07T11:58:11.2865951Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 377, in forward 2025-09-07T11:58:11.2866339Z x = self.forward_features(x) 2025-09-07T11:58:11.2866735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 366, in forward_features 2025-09-07T11:58:11.2867131Z x = blk(x) 2025-09-07T11:58:11.2867666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 233, in forward 2025-09-07T11:58:11.2868088Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T11:58:11.2868489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 70, in forward 2025-09-07T11:58:11.2868873Z self.rel_indices = self.get_rel_indices(N) 2025-09-07T11:58:11.2869306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 128, in get_rel_indices 2025-09-07T11:58:11.2870090Z return rel_indices.to(device). To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T11:58:11.2870786Z warmup_failed 2025-09-07T11:58:15.7669515Z Run failed with return code: 255 2025-09-07T11:58:15.7669972Z Output: None 2025-09-07T11:58:15.7670692Z Error: None 2025-09-07T11:58:16.7749049Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T11:58:16.7751475Z import pynvml # type: ignore[import] 2025-09-07T11:58:19.8653368Z 2025-09-07T11:58:20.9891841Z loading model: 0it [00:00, ?it/s] 2025-09-07T11:58:20.9892159Z loading model: 0it [00:01, ?it/s] 2025-09-07T11:58:20.9892449Z cuda train convmixer_768_32 2025-09-07T11:58:45.8499408Z Autotune Choices Stats: 2025-09-07T11:58:45.8501585Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.21689599752426147, "best_triton_pos": 1, "best_triton_time": 0.3415040075778961, "best_triton_kernel": "triton_convolution2d_5", "best_triton_kernel_desc": "ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T11:58:45.8822208Z AUTOTUNE convolution(32x3x224x224, 768x3x7x7) 2025-09-07T11:58:45.8822647Z strides: [150528, 1, 672, 3], [147, 1, 21, 3] 2025-09-07T11:58:45.8823275Z dtypes: torch.float16, torch.float16 2025-09-07T11:58:45.8823641Z convolution 0.2169 ms 100.0% 2025-09-07T11:58:45.8824567Z triton_convolution2d_5 0.3415 ms 63.5% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T11:58:45.8828428Z triton_convolution2d_3 0.3528 ms 61.5% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T11:58:45.8830571Z triton_convolution2d_4 0.3892 ms 55.7% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T11:58:45.8832468Z triton_convolution2d_6 0.4267 ms 50.8% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T11:58:45.8834249Z triton_convolution2d_0 0.5333 ms 40.7% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T11:58:45.8836247Z triton_convolution2d_2 0.5814 ms 37.3% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T11:58:45.8837866Z triton_convolution2d_1 0.7928 ms 27.4% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T11:58:45.8839685Z SingleProcess AUTOTUNE benchmarking takes 0.5315 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T11:58:46.4043207Z Autotune Choices Stats: 2025-09-07T11:58:46.4045341Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.06719999760389328, "best_triton_pos": 1, "best_triton_time": 0.08419200032949448, "best_triton_kernel": "triton_mm_24", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T11:58:46.4574726Z AUTOTUNE addmm(32768x768, 32768x768, 768x768) 2025-09-07T11:58:46.4575120Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T11:58:46.4575530Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:58:46.4575944Z bias_addmm 0.0672 ms 100.0% 2025-09-07T11:58:46.4576759Z triton_mm_24 0.0842 ms 79.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:58:46.4578095Z triton_mm_25 0.0972 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T11:58:46.4579374Z triton_mm_23 0.0999 ms 67.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:58:46.4580997Z triton_mm_18 0.1007 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:58:46.4581810Z addmm 0.1151 ms 58.4% 2025-09-07T11:58:46.4582578Z triton_mm_19 0.1203 ms 55.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T11:58:46.4583942Z triton_mm_17 0.1213 ms 55.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:58:46.4585215Z triton_mm_20 0.1216 ms 55.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:58:46.4586486Z triton_mm_21 0.1221 ms 55.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:58:46.4587606Z SingleProcess AUTOTUNE benchmarking takes 0.5733 seconds and 0.0002 seconds precompiling for 21 choices 2025-09-07T11:58:46.8037631Z Autotune Choices Stats: 2025-09-07T11:58:46.8039004Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_619", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.008736000396311283, "best_triton_pos": 0} 2025-09-07T11:58:46.8341452Z AUTOTUNE addmm(32x1000, 32x768, 768x1000) 2025-09-07T11:58:46.8341816Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T11:58:46.8342207Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:58:46.8343198Z triton_mm_619 0.0087 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:58:46.8344434Z bias_addmm 0.0093 ms 93.5% 2025-09-07T11:58:46.8345179Z triton_mm_623 0.0095 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:58:46.8346375Z triton_mm_618 0.0107 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:58:46.8347971Z triton_mm_627 0.0108 ms 80.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T11:58:46.8349189Z triton_mm_617 0.0112 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T11:58:46.8350622Z triton_mm_631 0.0112 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T11:58:46.8351828Z triton_mm_622 0.0117 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T11:58:46.8353027Z triton_mm_616 0.0118 ms 74.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T11:58:46.8354311Z triton_mm_626 0.0121 ms 72.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:58:46.8355321Z SingleProcess AUTOTUNE benchmarking takes 0.2586 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T11:59:00.7040841Z Autotune Choices Stats: 2025-09-07T11:59:00.7042995Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_657", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006527999881654978, "best_triton_pos": 0} 2025-09-07T11:59:00.7602543Z AUTOTUNE mm(1000x32, 32x768) 2025-09-07T11:59:00.7602916Z strides: [1, 1000], [768, 1] 2025-09-07T11:59:00.7603271Z dtypes: torch.float16, torch.float16 2025-09-07T11:59:00.7604218Z triton_mm_657 0.0065 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:59:00.7605703Z triton_mm_661 0.0068 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:59:00.7607132Z triton_mm_653 0.0068 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:59:00.7608557Z triton_mm_659 0.0068 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:59:00.7609828Z triton_mm_655 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T11:59:00.7611229Z triton_mm_656 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T11:59:00.7612504Z triton_mm_660 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T11:59:00.7613786Z triton_mm_662 0.0069 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:59:00.7615526Z triton_mm_651 0.0069 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T11:59:00.7616830Z triton_mm_663 0.0072 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T11:59:00.7617968Z SingleProcess AUTOTUNE benchmarking takes 0.3959 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T11:59:01.2914194Z Autotune Choices Stats: 2025-09-07T11:59:01.2915710Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.008799999952316284, "best_triton_pos": 1, "best_triton_time": 0.00979200005531311, "best_triton_kernel": "triton_mm_636", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T11:59:01.3070954Z AUTOTUNE mm(32x1000, 1000x768) 2025-09-07T11:59:01.3071289Z strides: [1000, 1], [768, 1] 2025-09-07T11:59:01.3071614Z dtypes: torch.float16, torch.float16 2025-09-07T11:59:01.3071961Z mm 0.0088 ms 100.0% 2025-09-07T11:59:01.3072758Z triton_mm_636 0.0098 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:59:01.3074084Z triton_mm_640 0.0099 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:59:01.3075398Z triton_mm_644 0.0112 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T11:59:01.3076696Z triton_mm_635 0.0116 ms 75.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:59:01.3077977Z triton_mm_634 0.0120 ms 73.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T11:59:01.3079268Z triton_mm_639 0.0126 ms 69.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T11:59:01.3080965Z triton_mm_648 0.0130 ms 67.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T11:59:01.3082272Z triton_mm_643 0.0131 ms 67.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:59:01.3083563Z triton_mm_646 0.0135 ms 65.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:59:01.3084697Z SingleProcess AUTOTUNE benchmarking takes 0.2246 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T11:59:07.4470965Z 2025-09-07T11:59:07.7581645Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:02:12.1211972Z 2025-09-07T12:02:12.3797828Z running benchmark: 0% 0/30 [00:00 2025-09-07T12:42:05.7950839Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T12:42:05.7951826Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T12:42:05.7952586Z return mod(*inputs) 2025-09-07T12:42:05.7952967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 377, in forward 2025-09-07T12:42:05.7953389Z x = self.forward_features(x) 2025-09-07T12:42:05.7953817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 366, in forward_features 2025-09-07T12:42:05.7954254Z x = blk(x) 2025-09-07T12:42:05.7954593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 233, in forward 2025-09-07T12:42:05.7955035Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T12:42:05.7955461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 70, in forward 2025-09-07T12:42:05.7955871Z self.rel_indices = self.get_rel_indices(N) 2025-09-07T12:42:05.7956304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 128, in get_rel_indices 2025-09-07T12:42:05.7957127Z return rel_indices.to(device). To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T12:42:05.7957721Z warmup_failed 2025-09-07T12:42:08.7752791Z Run failed with return code: 255 2025-09-07T12:42:08.7753340Z Output: None 2025-09-07T12:42:08.7753657Z Error: None 2025-09-07T12:42:09.7122705Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T12:42:09.7124040Z import pynvml # type: ignore[import] 2025-09-07T12:42:12.7093879Z 2025-09-07T12:42:13.5395948Z loading model: 0it [00:00, ?it/s] 2025-09-07T12:42:13.5396276Z loading model: 0it [00:00, ?it/s] 2025-09-07T12:42:13.5471493Z cuda eval convmixer_768_32 2025-09-07T12:42:25.6388093Z 2025-09-07T12:42:25.7833061Z running benchmark: 0% 0/30 [00:00 2025-09-07T12:46:24.8012905Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T12:46:24.8013761Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T12:46:24.8014511Z return mod(*inputs) 2025-09-07T12:46:24.8014871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 377, in forward 2025-09-07T12:46:24.8015264Z x = self.forward_features(x) 2025-09-07T12:46:24.8015671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 366, in forward_features 2025-09-07T12:46:24.8016079Z x = blk(x) 2025-09-07T12:46:24.8016411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 233, in forward 2025-09-07T12:46:24.8016824Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T12:46:24.8017225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 70, in forward 2025-09-07T12:46:24.8017625Z self.rel_indices = self.get_rel_indices(N) 2025-09-07T12:46:24.8018046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 128, in get_rel_indices 2025-09-07T12:46:24.8018832Z return rel_indices.to(device). To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T12:46:24.8019412Z warmup_failed 2025-09-07T12:46:28.2801562Z Run failed with return code: 255 2025-09-07T12:46:28.2802068Z Output: None 2025-09-07T12:46:28.2802400Z Error: None 2025-09-07T12:46:29.2123312Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T12:46:29.2125254Z import pynvml # type: ignore[import] 2025-09-07T12:46:32.2268786Z 2025-09-07T12:46:33.0187669Z loading model: 0it [00:00, ?it/s] 2025-09-07T12:46:33.0188047Z loading model: 0it [00:00, ?it/s] 2025-09-07T12:46:33.0268790Z cuda eval convmixer_768_32 2025-09-07T12:46:45.3549128Z 2025-09-07T12:46:45.5023897Z running benchmark: 0% 0/30 [00:00 2025-09-07T13:14:31.3498522Z and t.untyped_storage().data_ptr() not in existing_path_data_ptrs 2025-09-07T13:14:31.3499286Z RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T13:14:31.3499975Z return mod(*inputs) 2025-09-07T13:14:31.3500470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 377, in forward 2025-09-07T13:14:31.3500881Z x = self.forward_features(x) 2025-09-07T13:14:31.3501284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 366, in forward_features 2025-09-07T13:14:31.3501690Z x = blk(x) 2025-09-07T13:14:31.3502020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 233, in forward 2025-09-07T13:14:31.3502434Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T13:14:31.3502919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 70, in forward 2025-09-07T13:14:31.3503325Z self.rel_indices = self.get_rel_indices(N) 2025-09-07T13:14:31.3503758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/convit.py", line 128, in get_rel_indices 2025-09-07T13:14:31.3504556Z return rel_indices.to(device). To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-09-07T13:14:31.3505132Z warmup_failed 2025-09-07T13:14:34.8109078Z Run failed with return code: 255 2025-09-07T13:14:34.8109593Z Output: None 2025-09-07T13:14:34.8109936Z Error: None 2025-09-07T13:14:35.7497248Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T13:14:35.7498490Z import pynvml # type: ignore[import] 2025-09-07T13:14:38.7469366Z 2025-09-07T13:14:39.5325005Z loading model: 0it [00:00, ?it/s] 2025-09-07T13:14:39.5325562Z loading model: 0it [00:00, ?it/s] 2025-09-07T13:14:39.5398188Z cuda eval convmixer_768_32 2025-09-07T13:14:51.3053843Z Autotune Choices Stats: 2025-09-07T13:14:51.3056001Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "bias_addmm", "best_time": 0.06415999680757523, "best_triton_pos": 1, "best_triton_time": 0.08406399935483932, "best_triton_kernel": "triton_mm_24", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T13:14:51.3100120Z AUTOTUNE addmm(32768x768, 32768x768, 768x768) 2025-09-07T13:14:51.3100626Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T13:14:51.3100970Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-07T13:14:51.3101309Z bias_addmm 0.0642 ms 100.0% 2025-09-07T13:14:51.3101926Z triton_mm_24 0.0841 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T13:14:51.3103010Z triton_mm_25 0.0977 ms 65.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T13:14:51.3104004Z triton_mm_18 0.0999 ms 64.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T13:14:51.3104958Z triton_mm_23 0.1006 ms 63.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T13:14:51.3105565Z addmm 0.1179 ms 54.4% 2025-09-07T13:14:51.3106404Z triton_mm_19 0.1209 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T13:14:51.3107490Z triton_mm_17 0.1209 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T13:14:51.3108451Z triton_mm_20 0.1217 ms 52.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T13:14:51.3109402Z triton_mm_21 0.1219 ms 52.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T13:14:51.3110417Z SingleProcess AUTOTUNE benchmarking takes 0.5338 seconds and 0.0003 seconds precompiling for 21 choices 2025-09-07T13:14:55.5660712Z Autotune Choices Stats: 2025-09-07T13:14:55.5663177Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.2656320035457611, "best_triton_pos": 1, "best_triton_time": 0.33535999059677124, "best_triton_kernel": "triton_convolution2d_5", "best_triton_kernel_desc": "ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T13:14:55.5712360Z AUTOTUNE convolution(32x3x224x224, 768x3x7x7) 2025-09-07T13:14:55.5712729Z strides: [150528, 1, 672, 3], [147, 1, 21, 3] 2025-09-07T13:14:55.5713020Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-07T13:14:55.5713322Z convolution 0.2656 ms 100.0% 2025-09-07T13:14:55.5714076Z triton_convolution2d_5 0.3354 ms 79.2% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T13:14:55.5715725Z triton_convolution2d_3 0.3495 ms 76.0% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T13:14:55.5717118Z triton_convolution2d_4 0.3861 ms 68.8% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T13:14:55.5718488Z triton_convolution2d_6 0.4220 ms 63.0% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T13:14:55.5719629Z triton_convolution2d_0 0.5520 ms 48.1% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T13:14:55.5720977Z triton_convolution2d_2 0.5771 ms 46.0% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T13:14:55.5722106Z triton_convolution2d_1 0.7545 ms 35.2% ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T13:14:55.5725300Z SingleProcess AUTOTUNE benchmarking takes 0.3224 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T13:14:55.7983355Z Autotune Choices Stats: 2025-09-07T13:14:55.7984207Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_619", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.008767999708652496, "best_triton_pos": 0} 2025-09-07T13:14:55.8034922Z AUTOTUNE addmm(32x1000, 32x768, 768x1000) 2025-09-07T13:14:55.8035415Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T13:14:55.8035766Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-07T13:14:55.8036457Z triton_mm_619 0.0088 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T13:14:55.8037085Z bias_addmm 0.0093 ms 94.2% 2025-09-07T13:14:55.8037680Z triton_mm_623 0.0098 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T13:14:55.8038665Z triton_mm_618 0.0108 ms 81.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T13:14:55.8039582Z triton_mm_627 0.0114 ms 76.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T13:14:55.8040664Z triton_mm_616 0.0116 ms 75.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T13:14:55.8041566Z triton_mm_631 0.0116 ms 75.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T13:14:55.8042448Z triton_mm_617 0.0117 ms 75.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, 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 2025-09-07T13:14:55.8043323Z triton_mm_622 0.0117 ms 75.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T13:14:55.8043978Z addmm 0.0121 ms 72.5% 2025-09-07T13:14:55.8044398Z SingleProcess AUTOTUNE benchmarking takes 0.2238 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T13:14:59.2779992Z 2025-09-07T13:14:59.4196993Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T13:15:55.2275880Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T13:15:55.2290049Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:15:55.2290491Z env: 2025-09-07T13:15:55.2290653Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:15:55.2290916Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:15:55.2291256Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:15:55.2291669Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:15:55.2292024Z ##[endgroup] 2025-09-07T13:15:55.2324035Z + [[ -n '' ]] 2025-09-07T13:15:55.2324298Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T13:15:55.5034830Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T13:15:56.2211469Z Collecting boto3==1.35.33 2025-09-07T13:15:56.2788565Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T13:15:56.3113880Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 4.3 MB/s eta 0:00:00 2025-09-07T13:15:56.4537257Z Collecting psutil==7.0.0 2025-09-07T13:15:56.4639380Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T13:15:56.5017880Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 7.6 MB/s eta 0:00:00 2025-09-07T13:15:56.5203826Z Collecting pynvml==12.0.0 2025-09-07T13:15:56.5323838Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T13:15:57.2463893Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T13:15:57.2572155Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T13:15:57.6811448Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 41.0 MB/s eta 0:00:00 2025-09-07T13:15:57.7352626Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T13:15:57.7458447Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T13:15:57.7548777Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 10.0 MB/s eta 0:00:00 2025-09-07T13:15:57.7766903Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T13:15:57.7868567Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T13:15:57.8328272Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T13:15:57.8447837Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T13:15:57.8525298Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 6.1 MB/s eta 0:00:00 2025-09-07T13:15:57.8584966Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T13:15:57.8596614Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.5) 2025-09-07T13:15:58.0979221Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T13:15:58.0980063Z Attempting uninstall: nvidia-ml-py 2025-09-07T13:15:58.0985345Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T13:15:58.1022009Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T13:15:58.1048748Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T13:15:58.1667785Z Attempting uninstall: psutil 2025-09-07T13:15:58.1674217Z Found existing installation: psutil 5.9.8 2025-09-07T13:15:58.1836790Z Uninstalling psutil-5.9.8: 2025-09-07T13:15:58.1845861Z Successfully uninstalled psutil-5.9.8 2025-09-07T13:15:58.9091845Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T13:15:59.0103585Z + DEVICE_NAME= 2025-09-07T13:15:59.0103950Z + DEVICE_TYPE= 2025-09-07T13:15:59.0104314Z + command -v nvidia-smi 2025-09-07T13:15:59.0105262Z + python3 -mpip install torch==2.7.1 2025-09-07T13:15:59.0105682Z /usr/bin/nvidia-smi 2025-09-07T13:15:59.2836179Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T13:15:59.4989951Z Collecting torch==2.7.1 2025-09-07T13:15:59.5559996Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T13:16:12.9047907Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.1 MB/s eta 0:00:00 2025-09-07T13:16:14.1706816Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T13:16:14.1841944Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T13:16:19.0486799Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 2.6 MB/s eta 0:00:00 2025-09-07T13:16:19.5864633Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T13:16:19.5974994Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T13:16:25.8890724Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 2.2 MB/s eta 0:00:00 2025-09-07T13:16:26.2841501Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T13:16:26.2966402Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T13:16:34.0527325Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 1.9 MB/s eta 0:00:00 2025-09-07T13:16:34.6080882Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T13:16:34.6222074Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T13:16:34.6389780Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 76.3 MB/s eta 0:00:00 2025-09-07T13:16:34.6654319Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T13:16:34.6764777Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T13:16:34.6915253Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 68.3 MB/s eta 0:00:00 2025-09-07T13:16:34.7361944Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T13:16:34.7500117Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T13:16:36.2059043Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 13.2 MB/s eta 0:00:00 2025-09-07T13:16:36.3825517Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T13:16:36.3929701Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T13:16:36.4655768Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 126.5 MB/s eta 0:00:00 2025-09-07T13:16:36.5166146Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T13:16:36.5267604Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T13:16:36.6993973Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 91.8 MB/s eta 0:00:00 2025-09-07T13:16:36.7462172Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T13:16:36.7592992Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T13:16:38.8659921Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 8.2 MB/s eta 0:00:00 2025-09-07T13:16:39.0747997Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T13:16:39.0851085Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T13:16:40.4995777Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 13.6 MB/s eta 0:00:00 2025-09-07T13:16:40.6830586Z Collecting filelock 2025-09-07T13:16:40.6941425Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T13:16:40.7334570Z Collecting sympy>=1.13.3 2025-09-07T13:16:40.7435464Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T13:16:40.7955185Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 125.9 MB/s eta 0:00:00 2025-09-07T13:16:40.8559022Z Collecting fsspec 2025-09-07T13:16:40.8660193Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T13:16:40.8768651Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 20.9 MB/s eta 0:00:00 2025-09-07T13:16:40.9019433Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T13:16:40.9121531Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T13:16:43.2781921Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 7.2 MB/s eta 0:00:00 2025-09-07T13:16:43.4812244Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/david/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T13:16:43.5072994Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T13:16:43.5182252Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T13:16:43.6561237Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 110.4 MB/s eta 0:00:00 2025-09-07T13:16:43.7095747Z Collecting jinja2 2025-09-07T13:16:43.7198213Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T13:16:43.7293701Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 16.3 MB/s eta 0:00:00 2025-09-07T13:16:43.7552046Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T13:16:43.7658879Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T13:16:44.2212555Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 41.0 MB/s eta 0:00:00 2025-09-07T13:16:44.3162169Z Collecting networkx 2025-09-07T13:16:44.3264972Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T13:16:44.3461440Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 95.6 MB/s eta 0:00:00 2025-09-07T13:16:44.3746767Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T13:16:44.3847238Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T13:16:44.3932072Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 11.5 MB/s eta 0:00:00 2025-09-07T13:16:44.4409962Z Collecting triton==3.3.1 2025-09-07T13:16:44.4518198Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T13:16:45.8538317Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 13.6 MB/s eta 0:00:00 2025-09-07T13:16:46.0257547Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3/dist-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-09-07T13:16:46.0534397Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T13:16:46.0636822Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T13:16:46.0765661Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 48.1 MB/s eta 0:00:00 2025-09-07T13:16:46.2553875Z Collecting MarkupSafe>=2.0 2025-09-07T13:16:46.2656506Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T13:16:46.5876064Z Installing collected packages: nvidia-cusparselt-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch 2025-09-07T13:16:50.6561857Z WARNING: The scripts proton and proton-viewer are installed in '/home/david/.local/bin' which is not on PATH. 2025-09-07T13:16:50.6562706Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:16:54.1673205Z WARNING: The script isympy is installed in '/home/david/.local/bin' which is not on PATH. 2025-09-07T13:16:54.1673948Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:17:30.2523811Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/david/.local/bin' which is not on PATH. 2025-09-07T13:17:30.2525019Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:17:31.0901096Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.9.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-09-07T13:17:31.7914860Z + echo DEVICE_NAME= 2025-09-07T13:17:31.7915405Z + echo DEVICE_TYPE= 2025-09-07T13:17:31.8036296Z ##[group]Run set -eux 2025-09-07T13:17:31.8036504Z set -eux 2025-09-07T13:17:31.8036676Z  2025-09-07T13:17:31.8036873Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T13:17:31.8037145Z  echo "Missing github-token input" 2025-09-07T13:17:31.8037375Z  exit 1 2025-09-07T13:17:31.8037540Z fi 2025-09-07T13:17:31.8052015Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:31.8052295Z env: 2025-09-07T13:17:31.8052459Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:31.8052700Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:31.8053017Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:31.8053442Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:31.8053821Z DEVICE_NAME: 2025-09-07T13:17:31.8053983Z DEVICE_TYPE: 2025-09-07T13:17:31.8054332Z GITHUB_TOKEN: *** 2025-09-07T13:17:31.8054501Z ##[endgroup] 2025-09-07T13:17:31.8535634Z + [[ -z *** ]] 2025-09-07T13:17:31.8981443Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T13:17:31.8981853Z with: 2025-09-07T13:17:31.8982289Z github-token: *** 2025-09-07T13:17:31.8982500Z env: 2025-09-07T13:17:31.8982678Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:31.8982962Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:31.8983369Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:31.8983894Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:31.8984337Z DEVICE_NAME: 2025-09-07T13:17:31.8984528Z DEVICE_TYPE: 2025-09-07T13:17:31.8984711Z ##[endgroup] 2025-09-07T13:17:32.0400400Z ##[group]Run set -eux 2025-09-07T13:17:32.0400657Z set -eux 2025-09-07T13:17:32.0400846Z  2025-09-07T13:17:32.0401253Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T13:17:32.0415965Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:32.0416268Z env: 2025-09-07T13:17:32.0416433Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:32.0416700Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:32.0417037Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:32.0417480Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:32.0417856Z DEVICE_NAME: 2025-09-07T13:17:32.0418025Z DEVICE_TYPE: 2025-09-07T13:17:32.0418403Z GITHUB_TOKEN: *** 2025-09-07T13:17:32.0418586Z ##[endgroup] 2025-09-07T13:17:32.0913201Z + python3 /home/david/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525296438 i-0b7d0f7dc0527ca9b-1004 2025-09-07T13:17:33.2146973Z setting job-id=49775781840 2025-09-07T13:17:33.2147404Z setting job-name=test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T13:17:33.2275862Z ##[group]Run set -eux 2025-09-07T13:17:33.2276097Z set -eux 2025-09-07T13:17:33.2276435Z  2025-09-07T13:17:33.2276591Z if [[ -n "" ]]; then 2025-09-07T13:17:33.2276782Z  source "" 2025-09-07T13:17:33.2276946Z fi 2025-09-07T13:17:33.2277094Z  2025-09-07T13:17:33.2277367Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T13:17:33.2277733Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T13:17:33.2277972Z  --repo "${REPO}" \ 2025-09-07T13:17:33.2278198Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T13:17:33.2278439Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T13:17:33.2278923Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T13:17:33.2279176Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T13:17:33.2279404Z  --job-id "${JOB_ID}" \ 2025-09-07T13:17:33.2279615Z  --job-name "${JOB_NAME}" 2025-09-07T13:17:33.2294108Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:33.2294397Z env: 2025-09-07T13:17:33.2294554Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:33.2294790Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:33.2295103Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:33.2295507Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:33.2295965Z DEVICE_NAME: 2025-09-07T13:17:33.2296131Z DEVICE_TYPE: 2025-09-07T13:17:33.2296290Z SCHEMA_VERSION: v3 2025-09-07T13:17:33.2296465Z REPO: pytorch/pytorch 2025-09-07T13:17:33.2296656Z HEAD_BRANCH: refs/heads/main 2025-09-07T13:17:33.2296887Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T13:17:33.2297137Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T13:17:33.2297314Z RUN_ATTEMPT: 1 2025-09-07T13:17:33.2297494Z JOB_ID: 49775781840 2025-09-07T13:17:33.2297780Z JOB_NAME: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T13:17:33.2298099Z ##[endgroup] 2025-09-07T13:17:33.2334012Z + [[ -n '' ]] 2025-09-07T13:17:33.2335319Z + python3 /home/david/_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 49775781840 --job-name 'test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100)' 2025-09-07T13:17:33.2611103Z ##[group]Run set -eux 2025-09-07T13:17:33.2611335Z set -eux 2025-09-07T13:17:33.2611525Z  2025-09-07T13:17:33.2611707Z if [[ -n "" ]]; then 2025-09-07T13:17:33.2612075Z  source "" 2025-09-07T13:17:33.2612271Z fi 2025-09-07T13:17:33.2612445Z  2025-09-07T13:17:33.2612779Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T13:17:33.2626044Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:33.2626326Z env: 2025-09-07T13:17:33.2626487Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:33.2626732Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:33.2627055Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:33.2627458Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:33.2627815Z DEVICE_NAME: 2025-09-07T13:17:33.2627992Z DEVICE_TYPE: 2025-09-07T13:17:33.2628147Z ##[endgroup] 2025-09-07T13:17:33.2655893Z + [[ -n '' ]] 2025-09-07T13:17:33.2656433Z + python3 /home/david/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T13:17:34.0054432Z /home/david/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T13:17:34.0056079Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T13:17:35.6665943Z ##[group]Run set -eux 2025-09-07T13:17:35.6666182Z set -eux 2025-09-07T13:17:35.6666363Z  2025-09-07T13:17:35.6666551Z # TODO (huydhn): Implement this part 2025-09-07T13:17:35.6666847Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T13:17:35.6681398Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:35.6681687Z env: 2025-09-07T13:17:35.6681857Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:35.6682101Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:35.6682689Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:35.6683140Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:35.6683506Z DEVICE_NAME: 2025-09-07T13:17:35.6683666Z DEVICE_TYPE: 2025-09-07T13:17:35.6683834Z ##[endgroup] 2025-09-07T13:17:35.7158612Z + echo 'dependencies={}' 2025-09-07T13:17:35.7602669Z ##[group]Run set -eux 2025-09-07T13:17:35.7602915Z set -eux 2025-09-07T13:17:35.7603107Z  2025-09-07T13:17:35.7603286Z if [[ -n "" ]]; then 2025-09-07T13:17:35.7603519Z  source "" 2025-09-07T13:17:35.7603719Z fi 2025-09-07T13:17:35.7603893Z  2025-09-07T13:17:35.7604108Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T13:17:35.7604485Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T13:17:35.7604900Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T13:17:35.7605255Z  exit 0 2025-09-07T13:17:35.7605436Z fi 2025-09-07T13:17:35.7605607Z  2025-09-07T13:17:35.7605800Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T13:17:35.7606207Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T13:17:35.7606672Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T13:17:35.7607035Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T13:17:35.7607331Z  --runners "${RUNNER_INFO}" \ 2025-09-07T13:17:35.7607635Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T13:17:35.7607913Z  --dry-run 2025-09-07T13:17:35.7608114Z else 2025-09-07T13:17:35.7608432Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T13:17:35.7608895Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T13:17:35.7609247Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T13:17:35.7609678Z  --runners "${RUNNER_INFO}" \ 2025-09-07T13:17:35.7609917Z  --dependencies "${DEPENDENCIES}" 2025-09-07T13:17:35.7610146Z fi 2025-09-07T13:17:35.7624255Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:35.7624551Z env: 2025-09-07T13:17:35.7624709Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:35.7624962Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:35.7625292Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:35.7625706Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:35.7626060Z DEVICE_NAME: 2025-09-07T13:17:35.7626218Z DEVICE_TYPE: 2025-09-07T13:17:35.7626401Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T13:17:35.7626627Z DRY_RUN: false 2025-09-07T13:17:35.7627604Z BENCHMARK_METADATA: {"timestamp": 1757251053, "schema_version": "v3", "name": "test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781840} 2025-09-07T13:17:35.7628903Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "3d0a5edcbb0c"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}] 2025-09-07T13:17:35.7629592Z DEPENDENCIES: {} 2025-09-07T13:17:35.7629757Z ##[endgroup] 2025-09-07T13:17:35.8089560Z + [[ -n '' ]] 2025-09-07T13:17:35.8089774Z + [[ ! -d test/test-reports ]] 2025-09-07T13:17:35.8090002Z + [[ false == \t\r\u\e ]] 2025-09-07T13:17:35.8092695Z + python3 /home/david/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757251053, "schema_version": "v3", "name": "test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781840}' --runners '[{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "3d0a5edcbb0c"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}]' --dependencies '{}' 2025-09-07T13:17:36.0786894Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:17:36.1139462Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T13:17:36.3255837Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:17:36.4642393Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:17:36.6031199Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:36.8139108Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:36.9989955Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:17:37.1377761Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_accuracy.json 2025-09-07T13:17:37.2643911Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.json 2025-09-07T13:17:37.3983142Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_performance.json 2025-09-07T13:17:37.5237596Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:17:37.6583194Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_performance.json 2025-09-07T13:17:37.8029668Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:37.9553349Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_dynamic_timm_models_amp_training_cuda_h100_accuracy.json 2025-09-07T13:17:38.0965219Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:38.2821483Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:17:38.4260076Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:38.6066869Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:17:38.7359919Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:17:38.8411917Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:17:38.9955709Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_dynamic_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:39.1627221Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:39.3026055Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:39.4671691Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_max_autotune_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:39.6080131Z INFO:root:Upload test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_export_timm_models_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:17:39.7659787Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:39.9487195Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:40.1147694Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:17:40.2536220Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:17:40.3901089Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_max_autotune_timm_models_amp_training_cuda_h100_accuracy.json 2025-09-07T13:17:40.5280929Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_max_autotune_timm_models_amp_training_cuda_h100_performance.json 2025-09-07T13:17:40.6600551Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:17:40.7879303Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:17:40.9581889Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_dynamic_timm_models_amp_training_cuda_h100_performance.json 2025-09-07T13:17:41.0959928Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:41.2743133Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_performance.json 2025-09-07T13:17:41.4190879Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T13:17:41.5534087Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:17:41.7502440Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_performance.json 2025-09-07T13:17:41.9038382Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.json 2025-09-07T13:17:42.0479360Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781840/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T13:17:42.2878611Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T13:17:42.2879082Z cat test/**/*_toprint.log || true 2025-09-07T13:17:42.2893821Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:42.2894140Z env: 2025-09-07T13:17:42.2894311Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:42.2894562Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:42.2894906Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:42.2895355Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:42.2895743Z DEVICE_NAME: 2025-09-07T13:17:42.2895913Z DEVICE_TYPE: 2025-09-07T13:17:42.2896074Z ##[endgroup] 2025-09-07T13:17:42.3447424Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T13:17:42.4280030Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T13:17:42.4280648Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T13:17:42.4293699Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:42.4293982Z env: 2025-09-07T13:17:42.4294138Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:42.4294384Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:42.4294702Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:42.4295125Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:42.4295476Z DEVICE_NAME: 2025-09-07T13:17:42.4295648Z DEVICE_TYPE: 2025-09-07T13:17:42.4295813Z MONITOR_SCRIPT_PID: 7842 2025-09-07T13:17:42.4296127Z ##[endgroup] 2025-09-07T13:17:42.4886372Z Prepare all required actions 2025-09-07T13:17:42.4886807Z Getting action download info 2025-09-07T13:17:42.7089925Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T13:17:43.4713131Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T13:17:44.9663553Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T13:17:44.9663817Z with: 2025-09-07T13:17:44.9664090Z file-suffix: test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840 2025-09-07T13:17:44.9664416Z s3-bucket: gha-artifacts 2025-09-07T13:17:44.9664612Z env: 2025-09-07T13:17:44.9664763Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:44.9664998Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:44.9665318Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:44.9665763Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:44.9666123Z DEVICE_NAME: 2025-09-07T13:17:44.9666278Z DEVICE_TYPE: 2025-09-07T13:17:44.9666438Z ##[endgroup] 2025-09-07T13:17:45.1032494Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T13:17:45.1032824Z # Remove any previous test jsons if they exist 2025-09-07T13:17:45.1033227Z rm -f test-jsons-*.zip 2025-09-07T13:17:45.1033539Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T13:17:45.1047041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:45.1047316Z env: 2025-09-07T13:17:45.1047486Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:45.1047729Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:45.1048042Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:45.1048458Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:45.1048831Z DEVICE_NAME: 2025-09-07T13:17:45.1048997Z DEVICE_TYPE: 2025-09-07T13:17:45.1049264Z FILE_SUFFIX: test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840 2025-09-07T13:17:45.1049566Z ##[endgroup] 2025-09-07T13:17:45.1581005Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.1593155Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T13:17:45.1607172Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:17:45.1668379Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.1739732Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.1760418Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.1774336Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:17:45.1788287Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:17:45.1807368Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.1819330Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T13:17:45.1839914Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.1899321Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.1911084Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T13:17:45.1977271Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.1995717Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.2063774Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.2084065Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T13:17:45.2098563Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:17:45.2112885Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:17:45.2170883Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.2227575Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.2277700Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.2348974Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.2362677Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T13:17:45.2413482Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.2474953Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.2496053Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.2508171Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T13:17:45.2520742Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T13:17:45.2539518Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.2551737Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T13:17:45.2572366Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.2590758Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.2645001Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.2665477Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.2678071Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T13:17:45.2697159Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.2717837Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_performance.json (deflated 98%) 2025-09-07T13:17:45.2729979Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T13:17:45.2775072Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T13:17:45.2917951Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T13:17:45.2918396Z # Remove any previous test reports if they exist 2025-09-07T13:17:45.2918729Z rm -f test-reports-*.zip 2025-09-07T13:17:45.2919129Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T13:17:45.2933722Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:45.2934014Z env: 2025-09-07T13:17:45.2934176Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:45.2934421Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:45.2934774Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:45.2935195Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:45.2935550Z DEVICE_NAME: 2025-09-07T13:17:45.2935713Z DEVICE_TYPE: 2025-09-07T13:17:45.2935977Z FILE_SUFFIX: test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840 2025-09-07T13:17:45.2936447Z ##[endgroup] 2025-09-07T13:17:45.3416272Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T13:17:45.3417099Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T13:17:45.3417788Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T13:17:45.3418584Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T13:17:45.3419407Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_performance.csv (deflated 48%) 2025-09-07T13:17:45.3420450Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:17:45.3421296Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_performance.csv (deflated 48%) 2025-09-07T13:17:45.3422061Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T13:17:45.3422891Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T13:17:45.3423668Z adding: test/test-reports/inductor_cudagraphs_low_precision_timm_models_quant_inference_cuda_h100_accuracy.csv (deflated 51%) 2025-09-07T13:17:45.3424388Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_accuracy.csv (deflated 51%) 2025-09-07T13:17:45.3425067Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T13:17:45.3425838Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T13:17:45.3426644Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T13:17:45.3427399Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T13:17:45.3428135Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_accuracy.csv (deflated 51%) 2025-09-07T13:17:45.3429170Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T13:17:45.3430080Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_performance.csv (deflated 47%) 2025-09-07T13:17:45.3430842Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_performance.csv (deflated 48%) 2025-09-07T13:17:45.3431507Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_accuracy.csv (deflated 62%) 2025-09-07T13:17:45.3432187Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T13:17:45.3432859Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T13:17:45.3433498Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_accuracy.csv (deflated 52%) 2025-09-07T13:17:45.3434158Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T13:17:45.3434813Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_accuracy.csv (deflated 51%) 2025-09-07T13:17:45.3435529Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T13:17:45.3436349Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T13:17:45.3436975Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T13:17:45.3437669Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T13:17:45.3438326Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_h100_accuracy.csv (deflated 48%) 2025-09-07T13:17:45.3438947Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_h100_accuracy.csv (deflated 53%) 2025-09-07T13:17:45.3439561Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T13:17:45.3440373Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T13:17:45.3441097Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_performance.csv (deflated 47%) 2025-09-07T13:17:45.3441743Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T13:17:45.3442384Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_h100_accuracy.csv (deflated 49%) 2025-09-07T13:17:45.3443068Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T13:17:45.3443755Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T13:17:45.3444360Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_accuracy.csv (deflated 49%) 2025-09-07T13:17:45.3445029Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T13:17:45.3445758Z adding: test/test-reports/inductor_cudagraphs_low_precision_timm_models_quant_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T13:17:45.3446421Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_h100_performance.csv (deflated 48%) 2025-09-07T13:17:45.3847113Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T13:17:45.3847468Z # Remove any previous usage logs if they exist 2025-09-07T13:17:45.3848054Z rm -f logs-*.zip 2025-09-07T13:17:45.3848326Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T13:17:45.3848727Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T13:17:45.3861998Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:45.3862296Z env: 2025-09-07T13:17:45.3862458Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:45.3862715Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:45.3863043Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:45.3863464Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:45.3863823Z DEVICE_NAME: 2025-09-07T13:17:45.3863990Z DEVICE_TYPE: 2025-09-07T13:17:45.3864250Z FILE_SUFFIX: test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840 2025-09-07T13:17:45.3864559Z ##[endgroup] 2025-09-07T13:17:45.4463681Z adding: usage_log.txt (deflated 91%) 2025-09-07T13:17:45.4481442Z 2025-09-07T13:17:45.4481779Z zip error: Nothing to do! (logs-test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840.zip) 2025-09-07T13:17:45.4779393Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T13:17:45.4779801Z # Remove any previous debugging artifacts if they exist 2025-09-07T13:17:45.4780375Z rm -f debug-*.zip 2025-09-07T13:17:45.4780590Z if [ -d 'test/debug' ]; then 2025-09-07T13:17:45.4780862Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T13:17:45.4781122Z fi 2025-09-07T13:17:45.4794404Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:45.4794712Z env: 2025-09-07T13:17:45.4794878Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:45.4795133Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:45.4795477Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:45.4795922Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:45.4796286Z DEVICE_NAME: 2025-09-07T13:17:45.4796451Z DEVICE_TYPE: 2025-09-07T13:17:45.4796729Z FILE_SUFFIX: test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840 2025-09-07T13:17:45.4797060Z ##[endgroup] 2025-09-07T13:17:45.5679802Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:17:45.5680099Z with: 2025-09-07T13:17:45.5680464Z s3-bucket: gha-artifacts 2025-09-07T13:17:45.5680744Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:17:45.5681051Z retention-days: 14 2025-09-07T13:17:45.5681270Z if-no-files-found: warn 2025-09-07T13:17:45.5681498Z path: test-jsons-*.zip 2025-09-07T13:17:45.5681713Z name: artifact 2025-09-07T13:17:45.5681896Z region: us-east-1 2025-09-07T13:17:45.5682086Z env: 2025-09-07T13:17:45.5682264Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:45.5682544Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:45.5682932Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:45.5683457Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:45.5683886Z DEVICE_NAME: 2025-09-07T13:17:45.5684071Z DEVICE_TYPE: 2025-09-07T13:17:45.5684244Z ##[endgroup] 2025-09-07T13:17:45.8624676Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T13:17:45.8625031Z With the provided path, there will be 1 file uploaded 2025-09-07T13:17:45.8625376Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:17:45.8633729Z Starting upload of test-jsons-test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840.zip 2025-09-07T13:17:46.2224939Z Finished upload of test-jsons-test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840.zip 2025-09-07T13:17:46.2847323Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:17:46.2847607Z with: 2025-09-07T13:17:46.2847781Z s3-bucket: gha-artifacts 2025-09-07T13:17:46.2848333Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:17:46.2848720Z retention-days: 14 2025-09-07T13:17:46.2848917Z if-no-files-found: error 2025-09-07T13:17:46.2849131Z path: test-reports-*.zip 2025-09-07T13:17:46.2849334Z name: artifact 2025-09-07T13:17:46.2849505Z region: us-east-1 2025-09-07T13:17:46.2849676Z env: 2025-09-07T13:17:46.2849834Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:46.2850088Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:46.2850610Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:46.2851058Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:46.2851435Z DEVICE_NAME: 2025-09-07T13:17:46.2851600Z DEVICE_TYPE: 2025-09-07T13:17:46.2851799Z ##[endgroup] 2025-09-07T13:17:46.5906341Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T13:17:46.5906804Z With the provided path, there will be 1 file uploaded 2025-09-07T13:17:46.5907256Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:17:46.5915328Z Starting upload of test-reports-test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840.zip 2025-09-07T13:17:46.8088938Z Finished upload of test-reports-test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840.zip 2025-09-07T13:17:46.8584488Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:17:46.8584905Z with: 2025-09-07T13:17:46.8585075Z s3-bucket: gha-artifacts 2025-09-07T13:17:46.8585309Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:17:46.8585556Z retention-days: 14 2025-09-07T13:17:46.8585740Z if-no-files-found: ignore 2025-09-07T13:17:46.8585951Z path: logs-*.zip 2025-09-07T13:17:46.8586123Z name: artifact 2025-09-07T13:17:46.8586280Z region: us-east-1 2025-09-07T13:17:46.8586447Z env: 2025-09-07T13:17:46.8586597Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:46.8586839Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:46.8587176Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:46.8587605Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:46.8587962Z DEVICE_NAME: 2025-09-07T13:17:46.8588129Z DEVICE_TYPE: 2025-09-07T13:17:46.8588292Z ##[endgroup] 2025-09-07T13:17:47.1593665Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T13:17:47.1594096Z With the provided path, there will be 1 file uploaded 2025-09-07T13:17:47.1594493Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:17:47.1602325Z Starting upload of logs-test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840.zip 2025-09-07T13:17:47.3582395Z Finished upload of logs-test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840.zip 2025-09-07T13:17:47.3826975Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T13:17:47.3827228Z with: 2025-09-07T13:17:47.3827386Z s3-bucket: gha-artifacts 2025-09-07T13:17:47.3827658Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T13:17:47.3827930Z retention-days: 14 2025-09-07T13:17:47.3828115Z if-no-files-found: ignore 2025-09-07T13:17:47.3828300Z path: debug-*.zip 2025-09-07T13:17:47.3828465Z name: artifact 2025-09-07T13:17:47.3828629Z region: us-east-1 2025-09-07T13:17:47.3828791Z env: 2025-09-07T13:17:47.3828939Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:47.3829189Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:47.3829508Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:47.3829923Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:47.3830450Z DEVICE_NAME: 2025-09-07T13:17:47.3830622Z DEVICE_TYPE: 2025-09-07T13:17:47.3830778Z ##[endgroup] 2025-09-07T13:17:47.6773571Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T13:17:47.7188596Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T13:17:47.7188947Z # shellcheck disable=SC2156 2025-09-07T13:17:47.7189627Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T13:17:47.7204400Z shell: /usr/bin/bash -e {0} 2025-09-07T13:17:47.7204613Z env: 2025-09-07T13:17:47.7204769Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:47.7205026Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:47.7205370Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:47.7205785Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:47.7206133Z DEVICE_NAME: 2025-09-07T13:17:47.7206305Z DEVICE_TYPE: 2025-09-07T13:17:47.7206450Z ##[endgroup] 2025-09-07T13:17:48.5047473Z Prepare all required actions 2025-09-07T13:17:48.5047814Z Getting action download info 2025-09-07T13:17:48.6168979Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T13:17:48.6169248Z with: 2025-09-07T13:17:48.6169405Z job_id: 49775781840 2025-09-07T13:17:48.6169722Z job_name: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T13:17:48.6170078Z workflow_name: inductor-perf-nightly-h100 2025-09-07T13:17:48.6170506Z workflow_run_id: 17525296438 2025-09-07T13:17:48.6170706Z workflow_attempt: 1 2025-09-07T13:17:48.6170877Z env: 2025-09-07T13:17:48.6171203Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:48.6171450Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:48.6171771Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:48.6172200Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:48.6172550Z DEVICE_NAME: 2025-09-07T13:17:48.6172727Z DEVICE_TYPE: 2025-09-07T13:17:48.6172876Z ##[endgroup] 2025-09-07T13:17:48.6243324Z ##[group]Run echo "workflow_id: 17525296438" 2025-09-07T13:17:48.6243605Z echo "workflow_id: 17525296438" 2025-09-07T13:17:48.6243854Z echo "workflow_attempt: 1" 2025-09-07T13:17:48.6244135Z echo "workflow_Name: inductor-perf-nightly-h100" 2025-09-07T13:17:48.6244409Z echo "job_id: 49775781840" 2025-09-07T13:17:48.6244758Z echo "job_name: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100)" 2025-09-07T13:17:48.6245117Z echo "artifact_prefix: " 2025-09-07T13:17:48.6245352Z python3 --version 2025-09-07T13:17:48.6259888Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:17:48.6260175Z env: 2025-09-07T13:17:48.6260503Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:48.6260756Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:48.6261084Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:48.6261489Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:48.6261858Z DEVICE_NAME: 2025-09-07T13:17:48.6262029Z DEVICE_TYPE: 2025-09-07T13:17:48.6262180Z ##[endgroup] 2025-09-07T13:17:48.6301738Z workflow_id: 17525296438 2025-09-07T13:17:48.6301961Z workflow_attempt: 1 2025-09-07T13:17:48.6302168Z workflow_Name: inductor-perf-nightly-h100 2025-09-07T13:17:48.6302415Z job_id: 49775781840 2025-09-07T13:17:48.6302693Z job_name: test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100) 2025-09-07T13:17:48.6303004Z artifact_prefix: 2025-09-07T13:17:48.6319117Z Python 3.10.12 2025-09-07T13:17:48.6355647Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T13:17:48.6355881Z with: 2025-09-07T13:17:48.6356027Z shell: bash 2025-09-07T13:17:48.6356195Z timeout_minutes: 5 2025-09-07T13:17:48.6356375Z max_attempts: 5 2025-09-07T13:17:48.6356550Z retry_wait_seconds: 30 2025-09-07T13:17:48.6356974Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T13:17:48.6357410Z polling_interval_seconds: 1 2025-09-07T13:17:48.6357615Z warning_on_retry: true 2025-09-07T13:17:48.6357805Z continue_on_error: false 2025-09-07T13:17:48.6358132Z env: 2025-09-07T13:17:48.6358301Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:17:48.6358534Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:17:48.6358859Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:17:48.6359278Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:17:48.6359633Z DEVICE_NAME: 2025-09-07T13:17:48.6359800Z DEVICE_TYPE: 2025-09-07T13:17:48.6359959Z ##[endgroup] 2025-09-07T13:17:48.9759235Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T13:17:49.4781203Z Collecting python-dateutil==2.8.2 2025-09-07T13:17:49.5482655Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T13:17:49.9639117Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 576.8 kB/s eta 0:00:00 2025-09-07T13:17:50.9014571Z Collecting boto3==1.35.42 2025-09-07T13:17:50.9138431Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T13:17:51.3665882Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 286.1 kB/s eta 0:00:00 2025-09-07T13:17:51.6997140Z Collecting pandas==2.1.3 2025-09-07T13:17:51.7121713Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T13:17:52.3405694Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 17.1 MB/s eta 0:00:00 2025-09-07T13:17:52.3785966Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/david/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T13:17:52.3801429Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T13:17:52.3845585Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/david/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T13:17:52.3849655Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/david/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T13:17:52.3854414Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/david/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T13:17:53.1704180Z Collecting numpy<2,>=1.22.4 2025-09-07T13:17:53.1831648Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T13:17:53.9059406Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 15.0 MB/s eta 0:00:00 2025-09-07T13:17:54.3041199Z Collecting tzdata>=2022.1 2025-09-07T13:17:54.3163776Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T13:17:54.6232046Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 1.1 MB/s eta 0:00:00 2025-09-07T13:17:55.0593439Z Collecting pytz>=2020.1 2025-09-07T13:17:55.0715877Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T13:17:55.4623012Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 1.3 MB/s eta 0:00:00 2025-09-07T13:17:55.4691164Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/david/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T13:17:55.4697189Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/david/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T13:17:55.4770580Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.5) 2025-09-07T13:17:55.4853714Z Requirement already satisfied: packaging>=17.0 in /home/david/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T13:17:55.4949064Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/david/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T13:17:55.4953831Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/david/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T13:17:55.7757723Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T13:17:59.2402900Z WARNING: The script f2py is installed in '/home/david/.local/bin' which is not on PATH. 2025-09-07T13:17:59.2404072Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T13:18:02.5180726Z Attempting uninstall: boto3 2025-09-07T13:18:02.5187829Z Found existing installation: boto3 1.35.33 2025-09-07T13:18:02.5404406Z Uninstalling boto3-1.35.33: 2025-09-07T13:18:02.5424270Z Successfully uninstalled boto3-1.35.33 2025-09-07T13:18:02.6023640Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2 2025-09-07T13:18:02.7115967Z Command completed after 1 attempt(s). 2025-09-07T13:18:02.7189745Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T13:18:02.7192384Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T13:18:02.7192777Z  --workflow-run-id "17525296438" \ 2025-09-07T13:18:02.7193071Z  --workflow-name "inductor-perf-nightly-h100" \ 2025-09-07T13:18:02.7193362Z  --workflow-run-attempt "1" \ 2025-09-07T13:18:02.7193776Z  --job-id "49775781840" \ 2025-09-07T13:18:02.7194120Z  --job-name "test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100)" \ 2025-09-07T13:18:02.7194486Z  --local-path "" \ 2025-09-07T13:18:02.7194709Z  --artifact-prefix "" 2025-09-07T13:18:02.7209014Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T13:18:02.7209304Z env: 2025-09-07T13:18:02.7209456Z GIT_DEFAULT_BRANCH: main 2025-09-07T13:18:02.7209703Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T13:18:02.7210027Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5230 2025-09-07T13:18:02.7210623Z DOCKER_CONTAINER_ID: 42ff2afac91f7660ae9e788846d3edc06cc1ca3aaf5e78392e2b83f0de6c98da 2025-09-07T13:18:02.7210974Z DEVICE_NAME: 2025-09-07T13:18:02.7211133Z DEVICE_TYPE: 2025-09-07T13:18:02.7211286Z ##[endgroup] 2025-09-07T13:18:04.8819375Z repo: pytorch/pytorch 2025-09-07T13:18:04.8819855Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T13:18:04.8820930Z Downloading logs-test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840.zip 2025-09-07T13:18:04.8822020Z extracting usage_log.txt from zip file logs-test-inductor_timm_perf_cuda_h100-1-7-linux.aws.h100_49775781840.zip 2025-09-07T13:18:04.8822866Z Converted Log Model: UtilizationMetadata: 2025-09-07T13:18:04.8824903Z UtilizationMetadata(level='metadata', workflow_id='17525296438', job_id='49775781840', workflow_name='inductor-perf-nightly-h100', job_name='test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757238866, gpu_count=1, cpu_count=192, gpu_type='pynvml', error=None) 2025-09-07T13:18:04.8827336Z [Db Segments] detected pytest cmd: 4, generated segments: 4 2025-09-07T13:18:04.8827908Z [db model] Peek db timeseries 2025-09-07T13:18:04.8828312Z :{ 2025-09-07T13:18:04.8828560Z "created_at": 1757251084, 2025-09-07T13:18:04.8828766Z "type": "utilization", 2025-09-07T13:18:04.8828951Z "tags": [ 2025-09-07T13:18:04.8829109Z "record" 2025-09-07T13:18:04.8829270Z ], 2025-09-07T13:18:04.8829425Z "time_stamp": 1757238866, 2025-09-07T13:18:04.8829625Z "repo": "pytorch/pytorch", 2025-09-07T13:18:04.8829848Z "workflow_id": 17525296438, 2025-09-07T13:18:04.8830050Z "run_attempt": 1, 2025-09-07T13:18:04.8830460Z "job_id": 49775781840, 2025-09-07T13:18:04.8830698Z "workflow_name": "inductor-perf-nightly-h100", 2025-09-07T13:18:04.8831086Z "job_name": "test-weekly / test (inductor_timm_perf_cuda_h100, 1, 7, linux.aws.h100)", 2025-09-07T13:18:04.8831436Z "json_data": "{}" 2025-09-07T13:18:04.8831605Z } 2025-09-07T13:18:04.8831970Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781840/metadata 2025-09-07T13:18:04.8832655Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781840/metadata 2025-09-07T13:18:04.8833368Z Writing 810 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781840/time_series 2025-09-07T13:18:04.8834119Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781840/time_series 2025-09-07T13:18:04.9787945Z Post job cleanup. 2025-09-07T13:18:04.9821120Z Post job cleanup. 2025-09-07T13:18:05.0734265Z [command]/usr/bin/git version 2025-09-07T13:18:05.0777538Z git version 2.50.1 2025-09-07T13:18:05.0816971Z Temporarily overriding HOME='/home/david/_work/_temp/8f086cc4-5a09-43d4-90fa-159dc33be991' before making global git config changes 2025-09-07T13:18:05.0817843Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T13:18:05.0821857Z [command]/usr/bin/git config --global --add safe.directory /home/david/_work/pytorch/pytorch 2025-09-07T13:18:05.0857017Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T13:18:05.0897334Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T13:18:05.1175603Z Entering 'android/libs/fbjni' 2025-09-07T13:18:05.1227388Z Entering 'third_party/FP16' 2025-09-07T13:18:05.1278584Z Entering 'third_party/FXdiv' 2025-09-07T13:18:05.1329589Z Entering 'third_party/NNPACK' 2025-09-07T13:18:05.1380814Z Entering 'third_party/NVTX' 2025-09-07T13:18:05.1431543Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:18:05.1482609Z Entering 'third_party/XNNPACK' 2025-09-07T13:18:05.1547309Z Entering 'third_party/aiter' 2025-09-07T13:18:05.1598147Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T13:18:05.1657980Z Entering 'third_party/benchmark' 2025-09-07T13:18:05.1711225Z Entering 'third_party/composable_kernel' 2025-09-07T13:18:05.1771210Z Entering 'third_party/cpp-httplib' 2025-09-07T13:18:05.1822411Z Entering 'third_party/cpuinfo' 2025-09-07T13:18:05.1875225Z Entering 'third_party/cudnn_frontend' 2025-09-07T13:18:05.1926449Z Entering 'third_party/cutlass' 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2025-09-07T13:18:05.3873153Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T13:18:05.3925159Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T13:18:05.3972866Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T13:18:05.4020165Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T13:18:05.4067891Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T13:18:05.4117912Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T13:18:05.4165576Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T13:18:05.4213721Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T13:18:05.4259554Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T13:18:05.4309963Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T13:18:05.4361195Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T13:18:05.4428427Z Entering 'third_party/pocketfft' 2025-09-07T13:18:05.4478909Z Entering 'third_party/protobuf' 2025-09-07T13:18:05.4532167Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T13:18:05.4580912Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T13:18:05.4632422Z Entering 'third_party/psimd' 2025-09-07T13:18:05.4682438Z Entering 'third_party/pthreadpool' 2025-09-07T13:18:05.4732813Z Entering 'third_party/pybind11' 2025-09-07T13:18:05.4783572Z Entering 'third_party/python-peachpy' 2025-09-07T13:18:05.4834610Z Entering 'third_party/sleef' 2025-09-07T13:18:05.4885886Z Entering 'third_party/tensorpipe' 2025-09-07T13:18:05.4935302Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T13:18:05.4983248Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T13:18:05.5030129Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T13:18:05.5077761Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T13:18:05.5124158Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T13:18:05.5200811Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T13:18:05.5224511Z http.https://github.com/.extraheader 2025-09-07T13:18:05.5233935Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T13:18:05.5268629Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T13:18:05.5529855Z Entering 'android/libs/fbjni' 2025-09-07T13:18:05.5558002Z http.https://github.com/.extraheader 2025-09-07T13:18:05.5596058Z Entering 'third_party/FP16' 2025-09-07T13:18:05.5624710Z http.https://github.com/.extraheader 2025-09-07T13:18:05.5660961Z Entering 'third_party/FXdiv' 2025-09-07T13:18:05.5688878Z http.https://github.com/.extraheader 2025-09-07T13:18:05.5726012Z Entering 'third_party/NNPACK' 2025-09-07T13:18:05.5754381Z http.https://github.com/.extraheader 2025-09-07T13:18:05.5790050Z Entering 'third_party/NVTX' 2025-09-07T13:18:05.5818033Z http.https://github.com/.extraheader 2025-09-07T13:18:05.5855224Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:18:05.5883045Z http.https://github.com/.extraheader 2025-09-07T13:18:05.5920089Z Entering 'third_party/XNNPACK' 2025-09-07T13:18:05.5948002Z http.https://github.com/.extraheader 2025-09-07T13:18:05.5998935Z Entering 'third_party/aiter' 2025-09-07T13:18:05.6027006Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6063402Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T13:18:05.6090055Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6134538Z Entering 'third_party/benchmark' 2025-09-07T13:18:05.6162737Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6198550Z Entering 'third_party/composable_kernel' 2025-09-07T13:18:05.6226849Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6270458Z Entering 'third_party/cpp-httplib' 2025-09-07T13:18:05.6297563Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6335069Z Entering 'third_party/cpuinfo' 2025-09-07T13:18:05.6364951Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6403069Z Entering 'third_party/cudnn_frontend' 2025-09-07T13:18:05.6431108Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6468268Z Entering 'third_party/cutlass' 2025-09-07T13:18:05.6495710Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6541168Z Entering 'third_party/fbgemm' 2025-09-07T13:18:05.6572396Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6609293Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T13:18:05.6635452Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6671066Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T13:18:05.6697379Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6738528Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T13:18:05.6764948Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6799089Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T13:18:05.6825999Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6869241Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T13:18:05.6896222Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6930858Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T13:18:05.6956565Z http.https://github.com/.extraheader 2025-09-07T13:18:05.6991731Z Entering 'third_party/fbgemm/external/json' 2025-09-07T13:18:05.7018273Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7058057Z Entering 'third_party/flash-attention' 2025-09-07T13:18:05.7087095Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7122939Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T13:18:05.7149955Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7191896Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T13:18:05.7217306Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7263645Z Entering 'third_party/flatbuffers' 2025-09-07T13:18:05.7291713Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7329952Z Entering 'third_party/fmt' 2025-09-07T13:18:05.7357755Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7393785Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T13:18:05.7421680Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7457337Z Entering 'third_party/gloo' 2025-09-07T13:18:05.7485594Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7521294Z Entering 'third_party/googletest' 2025-09-07T13:18:05.7549677Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7587261Z Entering 'third_party/ideep' 2025-09-07T13:18:05.7615317Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7650523Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T13:18:05.7677387Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7723012Z Entering 'third_party/ittapi' 2025-09-07T13:18:05.7750924Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7787030Z Entering 'third_party/kineto' 2025-09-07T13:18:05.7815103Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7849693Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T13:18:05.7877107Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7912308Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T13:18:05.7938962Z http.https://github.com/.extraheader 2025-09-07T13:18:05.7976254Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T13:18:05.8003917Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8040406Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T13:18:05.8066978Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8102955Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T13:18:05.8129785Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8164368Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T13:18:05.8192300Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8232833Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T13:18:05.8259046Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8296003Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T13:18:05.8322331Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8358559Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T13:18:05.8385301Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8422545Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T13:18:05.8449231Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8487985Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T13:18:05.8514563Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8549725Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T13:18:05.8575904Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8614140Z Entering 'third_party/kleidiai' 2025-09-07T13:18:05.8642359Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8678418Z Entering 'third_party/mimalloc' 2025-09-07T13:18:05.8706138Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8741596Z Entering 'third_party/nlohmann' 2025-09-07T13:18:05.8769423Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8806654Z Entering 'third_party/onnx' 2025-09-07T13:18:05.8834563Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8884820Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T13:18:05.8913032Z http.https://github.com/.extraheader 2025-09-07T13:18:05.8954978Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T13:18:05.8982964Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9019456Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T13:18:05.9045977Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9081132Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T13:18:05.9106753Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9143152Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T13:18:05.9168458Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9203932Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T13:18:05.9229135Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9266917Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T13:18:05.9292171Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9327885Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T13:18:05.9354702Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9389525Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T13:18:05.9416251Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9449685Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T13:18:05.9477116Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9515985Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T13:18:05.9543071Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9582737Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T13:18:05.9609100Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9664248Z Entering 'third_party/pocketfft' 2025-09-07T13:18:05.9692419Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9727525Z Entering 'third_party/protobuf' 2025-09-07T13:18:05.9755421Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9792407Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T13:18:05.9819398Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9856233Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T13:18:05.9883854Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9923946Z Entering 'third_party/psimd' 2025-09-07T13:18:05.9952513Z http.https://github.com/.extraheader 2025-09-07T13:18:05.9989580Z Entering 'third_party/pthreadpool' 2025-09-07T13:18:06.0019609Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0055055Z Entering 'third_party/pybind11' 2025-09-07T13:18:06.0083772Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0119340Z Entering 'third_party/python-peachpy' 2025-09-07T13:18:06.0147684Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0183516Z Entering 'third_party/sleef' 2025-09-07T13:18:06.0211825Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0249340Z Entering 'third_party/tensorpipe' 2025-09-07T13:18:06.0277425Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0312369Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T13:18:06.0338936Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0375069Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T13:18:06.0401078Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0436985Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T13:18:06.0463047Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0499333Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T13:18:06.0525361Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0559864Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T13:18:06.0587449Z http.https://github.com/.extraheader 2025-09-07T13:18:06.0772981Z Post job cleanup. 2025-09-07T13:18:06.1677772Z [command]/usr/bin/git version 2025-09-07T13:18:06.1717769Z git version 2.50.1 2025-09-07T13:18:06.1756829Z Temporarily overriding HOME='/home/david/_work/_temp/166adce8-52bd-4a2c-a404-5a66bb6f431b' before making global git config changes 2025-09-07T13:18:06.1757507Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T13:18:06.1761765Z [command]/usr/bin/git config --global --add safe.directory /home/david/_work/pytorch/pytorch 2025-09-07T13:18:06.1807265Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T13:18:06.1841940Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T13:18:06.2116843Z Entering 'android/libs/fbjni' 2025-09-07T13:18:06.2167467Z Entering 'third_party/FP16' 2025-09-07T13:18:06.2218569Z Entering 'third_party/FXdiv' 2025-09-07T13:18:06.2268906Z Entering 'third_party/NNPACK' 2025-09-07T13:18:06.2318925Z Entering 'third_party/NVTX' 2025-09-07T13:18:06.2369899Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:18:06.2420816Z Entering 'third_party/XNNPACK' 2025-09-07T13:18:06.2484088Z Entering 'third_party/aiter' 2025-09-07T13:18:06.2534551Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T13:18:06.2593736Z Entering 'third_party/benchmark' 2025-09-07T13:18:06.2644489Z Entering 'third_party/composable_kernel' 2025-09-07T13:18:06.2703363Z Entering 'third_party/cpp-httplib' 2025-09-07T13:18:06.2755010Z Entering 'third_party/cpuinfo' 2025-09-07T13:18:06.2806924Z Entering 'third_party/cudnn_frontend' 2025-09-07T13:18:06.2857218Z Entering 'third_party/cutlass' 2025-09-07T13:18:06.2915719Z Entering 'third_party/fbgemm' 2025-09-07T13:18:06.2968616Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T13:18:06.3017543Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T13:18:06.3072790Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T13:18:06.3119629Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T13:18:06.3176013Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T13:18:06.3222544Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T13:18:06.3269446Z Entering 'third_party/fbgemm/external/json' 2025-09-07T13:18:06.3320589Z Entering 'third_party/flash-attention' 2025-09-07T13:18:06.3369661Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T13:18:06.3423578Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T13:18:06.3481361Z Entering 'third_party/flatbuffers' 2025-09-07T13:18:06.3533244Z Entering 'third_party/fmt' 2025-09-07T13:18:06.3584173Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T13:18:06.3635161Z Entering 'third_party/gloo' 2025-09-07T13:18:06.3686056Z Entering 'third_party/googletest' 2025-09-07T13:18:06.3736451Z Entering 'third_party/ideep' 2025-09-07T13:18:06.3785541Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T13:18:06.3841887Z Entering 'third_party/ittapi' 2025-09-07T13:18:06.3892103Z Entering 'third_party/kineto' 2025-09-07T13:18:06.3940568Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T13:18:06.3987338Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T13:18:06.4036739Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T13:18:06.4085429Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T13:18:06.4133442Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T13:18:06.4179911Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T13:18:06.4232295Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T13:18:06.4280089Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T13:18:06.4328083Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T13:18:06.4377233Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T13:18:06.4427585Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T13:18:06.4475550Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T13:18:06.4526431Z Entering 'third_party/kleidiai' 2025-09-07T13:18:06.4576816Z Entering 'third_party/mimalloc' 2025-09-07T13:18:06.4626747Z Entering 'third_party/nlohmann' 2025-09-07T13:18:06.4679363Z Entering 'third_party/onnx' 2025-09-07T13:18:06.4743101Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T13:18:06.4796946Z Entering 'third_party/opentelemetry-cpp' 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2025-09-07T13:18:06.6043065Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T13:18:06.6117145Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T13:18:06.6151383Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T13:18:06.6410938Z Entering 'android/libs/fbjni' 2025-09-07T13:18:06.6461749Z Entering 'third_party/FP16' 2025-09-07T13:18:06.6510529Z Entering 'third_party/FXdiv' 2025-09-07T13:18:06.6559382Z Entering 'third_party/NNPACK' 2025-09-07T13:18:06.6608379Z Entering 'third_party/NVTX' 2025-09-07T13:18:06.6661580Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T13:18:06.6710815Z Entering 'third_party/XNNPACK' 2025-09-07T13:18:06.6773375Z Entering 'third_party/aiter' 2025-09-07T13:18:06.6822457Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T13:18:06.6880015Z Entering 'third_party/benchmark' 2025-09-07T13:18:06.6931210Z Entering 'third_party/composable_kernel' 2025-09-07T13:18:06.6988521Z Entering 'third_party/cpp-httplib' 2025-09-07T13:18:06.7038221Z Entering 'third_party/cpuinfo' 2025-09-07T13:18:06.7089215Z Entering 'third_party/cudnn_frontend' 2025-09-07T13:18:06.7139953Z Entering 'third_party/cutlass' 2025-09-07T13:18:06.7198018Z Entering 'third_party/fbgemm' 2025-09-07T13:18:06.7250828Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T13:18:06.7298954Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T13:18:06.7354230Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T13:18:06.7402596Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T13:18:06.7458024Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T13:18:06.7505112Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T13:18:06.7551665Z Entering 'third_party/fbgemm/external/json' 2025-09-07T13:18:06.7603060Z Entering 'third_party/flash-attention' 2025-09-07T13:18:06.7654000Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T13:18:06.7707894Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T13:18:06.7764696Z Entering 'third_party/flatbuffers' 2025-09-07T13:18:06.7817962Z Entering 'third_party/fmt' 2025-09-07T13:18:06.7869313Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T13:18:06.7920719Z Entering 'third_party/gloo' 2025-09-07T13:18:06.7971196Z Entering 'third_party/googletest' 2025-09-07T13:18:06.8021821Z Entering 'third_party/ideep' 2025-09-07T13:18:06.8069005Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T13:18:06.8125433Z Entering 'third_party/ittapi' 2025-09-07T13:18:06.8173832Z Entering 'third_party/kineto' 2025-09-07T13:18:06.8222284Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T13:18:06.8269859Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T13:18:06.8318537Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T13:18:06.8366864Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T13:18:06.8413936Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T13:18:06.8460054Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T13:18:06.8514421Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T13:18:06.8563017Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T13:18:06.8611682Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T13:18:06.8660893Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T13:18:06.8712229Z Entering 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