2025-09-07T07:44:40.1531647Z Current runner version: '2.328.0' 2025-09-07T07:44:40.1538313Z Runner name: 'i-04318a58cd30ea7bb-1003' 2025-09-07T07:44:40.1539164Z Runner group name: 'default' 2025-09-07T07:44:40.1540121Z Machine name: 'feeb0ac05545' 2025-09-07T07:44:40.1542880Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:44:40.1545210Z Contents: read 2025-09-07T07:44:40.1545808Z Metadata: read 2025-09-07T07:44:40.1546421Z ##[endgroup] 2025-09-07T07:44:40.1548821Z Secret source: Actions 2025-09-07T07:44:40.1549566Z Prepare workflow directory 2025-09-07T07:44:40.2075771Z Prepare all required actions 2025-09-07T07:44:40.2117875Z Getting action download info 2025-09-07T07:44:40.5989319Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:44:41.4186697Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:44:53.2823858Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:44:53.8006722Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:44:54.2227783Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:44:54.5300550Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:44:55.0402051Z Getting action download info 2025-09-07T07:44:55.1544058Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:44:56.0006574Z Getting action download info 2025-09-07T07:44:56.1212014Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:44:56.4459959Z Getting action download info 2025-09-07T07:44:56.5741071Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:44:56.8746258Z Getting action download info 2025-09-07T07:44:57.0191708Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:44:57.0195906Z ##[group] Inputs 2025-09-07T07:44:57.0196331Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T07:44:57.0202738Z test-matrix: {"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]} 2025-09-07T07:44:57.0209700Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:44:57.0210734Z sync-tag: 2025-09-07T07:44:57.0211586Z timeout-minutes: 1440 2025-09-07T07:44:57.0211845Z use-gha: 2025-09-07T07:44:57.0213500Z dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T07:44:57.0215002Z s3-bucket: gha-artifacts 2025-09-07T07:44:57.0215348Z aws-role-to-assume: 2025-09-07T07:44:57.0216207Z disable-monitor: false 2025-09-07T07:44:57.0216699Z monitor-log-interval: 15 2025-09-07T07:44:57.0217124Z monitor-data-collect-interval: 4 2025-09-07T07:44:57.0217554Z ##[endgroup] 2025-09-07T07:44:57.0218137Z Complete job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T07:44:57.0733803Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:44:57.0734629Z with: 2025-09-07T07:44:57.0735156Z github-secret: *** 2025-09-07T07:44:57.0735896Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:44:57.0736692Z activate-with-label: false 2025-09-07T07:44:57.0736971Z label: with-ssh 2025-09-07T07:44:57.0737215Z remove-existing-keys: true 2025-09-07T07:44:57.0737489Z fail-silently: true 2025-09-07T07:44:57.0737954Z env: 2025-09-07T07:44:57.0738171Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:57.0738428Z ##[endgroup] 2025-09-07T07:44:57.1900524Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:44:57.1901508Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:44:57.2111416Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:44:57.2111887Z with: 2025-09-07T07:44:57.2112112Z no-sudo: true 2025-09-07T07:44:57.2112344Z submodules: recursive 2025-09-07T07:44:57.2112667Z fetch-depth: 0 2025-09-07T07:44:57.2112897Z env: 2025-09-07T07:44:57.2113117Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:57.2113383Z ##[endgroup] 2025-09-07T07:44:57.2200207Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:44:57.2201242Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:44:57.2218311Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:44:57.2218759Z env: 2025-09-07T07:44:57.2218982Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:57.2219254Z ##[endgroup] 2025-09-07T07:44:57.2375391Z ##[group]Run actions/checkout@v4 2025-09-07T07:44:57.2375696Z with: 2025-09-07T07:44:57.2375954Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:44:57.2376299Z fetch-depth: 0 2025-09-07T07:44:57.2376545Z submodules: recursive 2025-09-07T07:44:57.2376800Z show-progress: false 2025-09-07T07:44:57.2377073Z repository: pytorch/pytorch 2025-09-07T07:44:57.2377502Z token: *** 2025-09-07T07:44:57.2377730Z ssh-strict: true 2025-09-07T07:44:57.2377972Z ssh-user: git 2025-09-07T07:44:57.2378209Z persist-credentials: true 2025-09-07T07:44:57.2378485Z clean: true 2025-09-07T07:44:57.2378738Z sparse-checkout-cone-mode: true 2025-09-07T07:44:57.2379044Z fetch-tags: false 2025-09-07T07:44:57.2379270Z lfs: false 2025-09-07T07:44:57.2379502Z set-safe-directory: true 2025-09-07T07:44:57.2379981Z env: 2025-09-07T07:44:57.2380201Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:44:57.2380454Z ##[endgroup] 2025-09-07T07:44:57.3407887Z Syncing repository: pytorch/pytorch 2025-09-07T07:44:57.3409277Z ##[group]Getting Git version info 2025-09-07T07:44:57.3409725Z Working directory is '/home/charlie/_work/pytorch/pytorch' 2025-09-07T07:44:57.3410343Z [command]/usr/bin/git version 2025-09-07T07:44:57.3410668Z git version 2.51.0 2025-09-07T07:44:57.3430644Z ##[endgroup] 2025-09-07T07:44:57.3441506Z Temporarily overriding HOME='/home/charlie/_work/_temp/c34740ba-dd90-4cfe-95c8-0931286bbfe3' before making global git config changes 2025-09-07T07:44:57.3442458Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:44:57.3446465Z [command]/usr/bin/git config --global --add safe.directory /home/charlie/_work/pytorch/pytorch 2025-09-07T07:44:57.3494384Z Deleting the contents of '/home/charlie/_work/pytorch/pytorch' 2025-09-07T07:44:57.3497436Z ##[group]Initializing the repository 2025-09-07T07:44:57.3500473Z [command]/usr/bin/git init /home/charlie/_work/pytorch/pytorch 2025-09-07T07:44:57.3573545Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:44:57.3574212Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:44:57.3574811Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:44:57.3575242Z hint: 2025-09-07T07:44:57.3575532Z hint: git config --global init.defaultBranch 2025-09-07T07:44:57.3575889Z hint: 2025-09-07T07:44:57.3576232Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:44:57.3576828Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:44:57.3577271Z hint: 2025-09-07T07:44:57.3577518Z hint: git branch -m 2025-09-07T07:44:57.3577792Z hint: 2025-09-07T07:44:57.3578213Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T07:44:57.3578868Z Initialized empty Git repository in /home/charlie/_work/pytorch/pytorch/.git/ 2025-09-07T07:44:57.3583068Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:44:57.3680292Z ##[endgroup] 2025-09-07T07:44:57.3683417Z ##[group]Disabling automatic garbage collection 2025-09-07T07:44:57.3683858Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:44:57.3727330Z ##[endgroup] 2025-09-07T07:44:57.3727740Z ##[group]Setting up auth 2025-09-07T07:44:57.3733884Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:44:57.3759436Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:44:57.3963343Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:44:57.3988166Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:44:57.4185914Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:44:57.4291965Z ##[endgroup] 2025-09-07T07:44:57.4292411Z ##[group]Fetching the repository 2025-09-07T07:44:57.4299357Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:45:44.6657525Z From https://github.com/pytorch/pytorch 2025-09-07T07:45:44.6658074Z * [new branch] 160583 -> origin/160583 2025-09-07T07:45:44.6658592Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:45:44.6659129Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:45:44.6660329Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:45:44.6661058Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:45:44.6661671Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:45:44.6662345Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:45:44.6663161Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:45:44.6663743Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:45:44.6664392Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:45:44.6665010Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:45:44.6665602Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:45:44.6666163Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:45:44.6666776Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:45:44.6667358Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:45:44.6667956Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:45:44.6668685Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:45:44.6669385Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:45:44.6670016Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:45:44.6670637Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:45:44.6671225Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:45:44.6671742Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:45:44.6672442Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:45:44.6672971Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:45:44.6673477Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:45:44.6673974Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:45:44.6674485Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:45:44.6675055Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:45:44.6675724Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:45:44.6676337Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:45:44.6676902Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:45:44.6677605Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:45:44.6678228Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:45:44.6678803Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:45:44.6679421Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:45:44.6680098Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:45:44.6680688Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:45:44.6681266Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:45:44.6682108Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:45:44.6682812Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:45:44.6683439Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:45:44.6684036Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:45:44.6684630Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:45:44.6685271Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:45:44.6718211Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:45:44.6718941Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:45:44.6719546Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:45:44.6720164Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:45:44.6720924Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:45:44.6721493Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:45:44.6722102Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:45:44.6722668Z * [new branch] 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2025-09-07T07:45:44.8271636Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:45:44.8272127Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:45:44.8272305Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:45:44.8272586Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:45:44.8272782Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:45:44.8272978Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:45:44.8273167Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:45:44.8273350Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:45:44.8273540Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:45:44.8273726Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:45:44.8273919Z * [new tag] 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ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:45:44.8280954Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:45:44.8281214Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:45:44.8281476Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:45:44.8281728Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:45:44.8281943Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:45:44.8282168Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:45:44.8282381Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:45:44.8282602Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:45:44.8282812Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:45:44.8283028Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:45:44.8283217Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:45:44.8283404Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:45:44.8283598Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:45:44.8283871Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:45:44.8284067Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:45:44.8284253Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:45:44.8284436Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:45:44.8284634Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:45:44.8284819Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:45:44.8285012Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:45:44.8285197Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:45:44.8285388Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:45:44.8285578Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:45:44.8285765Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:45:44.8285960Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:45:44.8286146Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:45:44.8286338Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:45:44.8286523Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:45:44.8286704Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:45:44.8286893Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:45:44.8287076Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:45:44.8287272Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:45:44.8287542Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:45:44.8287738Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:45:44.8287925Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:45:44.8288107Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:45:44.8288301Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:45:44.8288487Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:45:44.8288678Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:45:44.8288866Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:45:44.8289053Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:45:44.8289251Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:45:44.8289435Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:45:44.8289628Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:45:44.8289818Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:45:44.8290010Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:45:44.8290198Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:45:44.8290381Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:45:44.8290575Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:45:44.8290847Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:45:44.8291039Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:45:44.8291229Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:45:44.8291413Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:45:44.8291609Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:45:44.8291795Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:45:44.8291985Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:45:44.8292175Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:45:44.8292369Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:45:44.8292558Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:45:44.8292857Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:45:44.8293055Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:45:44.8293238Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:45:44.8293429Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:45:44.8293616Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:45:44.8293801Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:45:44.8293998Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:45:44.8294183Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:45:44.8294381Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:45:44.8294569Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:45:44.8294937Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:45:44.8295129Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:45:44.8295315Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:45:44.8295513Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:45:44.8295698Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:45:44.8295894Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:45:44.8296082Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:45:44.8296276Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:45:44.8296469Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:45:44.8296660Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:45:44.8296858Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:45:44.8297046Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:45:44.8297240Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:45:44.8297426Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:45:44.8297609Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:45:44.8297806Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:45:44.8297989Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:45:44.8298297Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:45:44.8298487Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:45:44.8298679Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:45:44.8298865Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:45:44.8299049Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:45:44.8299245Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:45:44.8299431Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:45:44.8299624Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:45:44.8299812Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:45:44.8299999Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:45:44.8300197Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:45:44.8300382Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:45:44.8300579Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:45:44.8300764Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:45:44.8300957Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:45:44.8301145Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:45:44.8301330Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:45:44.8301523Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:45:44.8301713Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:45:44.8301984Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:45:44.8302176Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:45:44.8302361Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:45:44.8302557Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:45:44.8302738Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:45:44.8302934Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:45:44.8303119Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:45:44.8303309Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:45:44.8303503Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:45:44.8303687Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:45:44.8303887Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:45:44.8304068Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:45:44.8304264Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:45:44.8304448Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:45:44.8304631Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:45:44.8304824Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:45:44.8305005Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:45:44.8305284Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:45:44.8305467Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:45:44.8305662Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:45:44.8305847Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:45:44.8306034Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:45:44.8306235Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:45:44.8306419Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:45:44.8306613Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:45:44.8306800Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:45:44.8306987Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:45:44.8307181Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:45:44.8307370Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:45:44.8307565Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:45:44.8307747Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:45:44.8307938Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:45:44.8308124Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:45:44.8308308Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:45:44.8308503Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:45:44.8308689Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:45:44.8308891Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:45:44.8309151Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:45:44.8309338Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:45:44.8309531Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:45:44.8309716Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:45:44.8309909Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:45:44.8310092Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:45:44.8310289Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:45:44.8310472Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:45:44.8310658Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:45:44.8310852Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:45:44.8311036Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:45:44.8311227Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:45:44.8311412Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:45:44.8311597Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:45:44.8311792Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:45:44.8311977Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:45:44.8312172Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:45:44.8312444Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:45:44.8312638Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:45:44.8312822Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:45:44.8313007Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:45:44.8313199Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:45:44.8313380Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:45:44.8313573Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:45:44.8313756Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:45:44.8313949Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:45:44.8314137Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:45:44.8314323Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:45:44.8314521Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:45:44.8314708Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:45:44.8314909Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:45:44.8315091Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:45:44.8315275Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:45:44.8315476Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:45:44.8315662Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:45:44.8315862Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:45:44.8316044Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:45:44.8316321Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:45:44.8316508Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:45:44.8316694Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:45:44.8316890Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:45:44.8317075Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:45:44.8317375Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:45:44.8317566Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:45:44.8317756Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:45:44.8317950Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:45:44.8318139Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:45:44.8318335Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:45:44.8318517Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:45:44.8318713Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:45:44.8318897Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:45:44.8319081Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:45:44.8319277Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:45:44.8319555Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:45:44.8319754Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:45:44.8319950Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:45:44.8320146Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:45:44.8320353Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:45:44.8320564Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:45:44.8320786Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:45:44.8320992Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:45:44.8321175Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:45:44.8321348Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:45:44.8321515Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:45:44.8321690Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:45:44.8321850Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:45:44.8322027Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:45:44.8322210Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:45:44.8322393Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:45:44.8322612Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:45:44.8322884Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:45:44.8323162Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:45:44.8323362Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:45:44.8323665Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:45:44.8323857Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:45:44.8324045Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:45:44.8324243Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:45:44.8324438Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:45:44.8324642Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:45:44.8324825Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:45:44.8325020Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:45:44.8325247Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:45:44.8325488Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:45:44.8325727Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:45:44.8325955Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:45:44.8326188Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:45:44.8326433Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:45:44.8326645Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:45:44.8326844Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:45:44.8327125Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:45:44.8327324Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:45:44.8327512Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:45:44.8327707Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:45:44.8327891Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:45:44.8328074Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:45:44.8328267Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:45:44.8328453Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:45:44.8328652Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:45:44.8328838Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:45:44.8329027Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:45:44.8329222Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:45:44.8329408Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:45:44.8329588Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:45:44.8329754Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:45:44.8329927Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:45:44.8330095Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:45:44.8330258Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:45:44.8330433Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:45:44.8330601Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:45:44.8330858Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:45:44.8331024Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:45:44.8331191Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:45:44.8331365Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:45:44.8331531Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:45:44.8331706Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:45:44.8331869Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:45:44.8332044Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:45:44.8332213Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:45:44.8332389Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:45:44.8332573Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:45:44.8333223Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:45:44.8333411Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:45:44.8333576Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:45:44.8333750Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:45:44.8333932Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:45:44.8334106Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:45:44.8334390Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:45:44.8334563Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:45:44.8334743Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:45:44.8334911Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:45:44.8335083Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:45:44.8335585Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:45:44.8335752Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:45:44.8335935Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:45:44.8336106Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:45:44.8336277Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:45:44.8336459Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:45:44.8336977Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:45:44.8337215Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:45:44.8337386Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:45:44.8337564Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:45:44.8337730Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:45:44.8337904Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:45:44.8338083Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:45:44.8338249Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:45:44.8338519Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:45:44.8338693Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:45:44.8338868Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:45:44.8339037Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:45:44.8339204Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:45:44.8339381Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:45:44.8339551Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:45:44.8339732Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:45:44.8339903Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:45:44.8340073Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:45:44.8340247Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:45:44.8340413Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:45:44.8340588Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:45:44.8340753Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:45:44.8340920Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:45:44.8341096Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:45:44.8341262Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:45:44.8341529Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:45:44.8341696Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:45:44.8341879Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:45:44.8342045Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:45:44.8342210Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:45:44.8342383Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:45:44.8342548Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:45:44.8342722Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:45:44.8342889Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:45:44.8343061Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:45:44.8343233Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:45:44.8343403Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:45:44.8343579Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:45:44.8343743Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:45:44.8343920Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:45:44.8344086Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:45:44.8344254Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:45:44.8344427Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:45:44.8344595Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:45:44.8344775Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:45:44.8345024Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:45:44.8345199Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:45:44.8345377Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:45:44.8345544Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:45:44.8345717Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:45:44.8345885Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:45:44.8346062Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:45:44.8346229Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:45:44.8346401Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:45:44.8346575Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:45:44.8346747Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:45:44.8346926Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:45:44.8347100Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:45:44.8347268Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:45:44.8347442Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:45:44.8347611Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:45:44.8347795Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:45:44.8347961Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:45:44.8348230Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:45:44.8348404Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:45:44.8348572Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:45:44.8348752Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:45:44.8348919Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:45:44.8349095Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:45:44.8349264Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:45:44.8349434Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:45:44.8349611Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:45:44.8349784Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:45:44.8349967Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:45:44.8350138Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:45:44.8350315Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:45:44.8350479Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:45:44.8350648Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:45:44.8350826Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:45:44.8350994Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:45:44.8351174Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:45:44.8351345Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:45:44.8351514Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:45:44.8351785Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:45:44.8351955Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:45:44.8352131Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:45:44.8352297Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:45:44.8352473Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:45:44.8352640Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:45:44.8352809Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:45:44.8352986Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:45:44.8353158Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:45:44.8353338Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:45:44.8353504Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:45:44.8353672Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:45:44.8353849Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:45:44.8354018Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:45:44.8354197Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:45:44.8354361Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:45:44.8354529Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:45:44.8354786Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:45:44.8354955Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:45:44.8355131Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:45:44.8355297Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:45:44.8355473Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:45:44.8355640Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:45:44.8355809Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:45:44.8355981Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:45:44.8356147Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:45:44.8356323Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:45:44.8356492Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:45:44.8356662Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:45:44.8356836Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:45:44.8357007Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:45:44.8357181Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:45:44.8357442Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:45:44.8357628Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:45:44.8357795Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:45:44.8357982Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:45:44.8358182Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:45:44.8358443Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:45:44.8358620Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:45:44.8358782Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:45:44.8358946Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:45:44.8359116Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:45:44.8359280Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:45:44.8359445Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:45:44.8359607Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:45:44.8359785Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:45:44.8359948Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:45:44.8360113Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:45:44.8360279Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:45:44.8360439Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:45:44.8360608Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:45:44.8360766Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:45:44.8360930Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:45:44.8361087Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:45:44.8361235Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:45:44.8361473Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:45:44.8361615Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:45:44.8361768Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:45:44.8361911Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:45:44.8362054Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:45:44.8362204Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:45:44.8362345Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:45:44.8362495Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:45:44.8362638Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:45:44.8362782Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:45:44.8362934Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:45:44.8363083Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:45:44.8363241Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:45:44.8363385Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:45:44.8363532Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:45:44.8363680Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:45:44.8363826Z * [new tag] flight_5 -> flight_5 2025-09-07T07:45:44.8363980Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:45:44.8364126Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:45:44.8364276Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:45:44.8364423Z * [new tag] forpull1 -> forpull1 2025-09-07T07:45:44.8364603Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:45:44.8364858Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:45:44.8365037Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:45:44.8365215Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:45:44.8365398Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:45:44.8365564Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:45:44.8365949Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:45:44.8366343Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:45:44.8366738Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:45:44.8367149Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:45:44.8367539Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:45:44.8367926Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:45:44.8368300Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:45:44.8368699Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:45:44.8369082Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:45:44.8369556Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:45:44.8369946Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:45:44.8370335Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:45:44.8370729Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:45:44.8371126Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:45:44.8371516Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:45:44.8371915Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:45:44.8372326Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:45:44.8372820Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:45:44.8373216Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:45:44.8373619Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:45:44.8374013Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:45:44.8374396Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:45:44.8374795Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:45:44.8375286Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:45:44.8375681Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:45:44.8376069Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:45:44.8376460Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:45:44.8376857Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:45:44.8377241Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:45:44.8377645Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:45:44.8378043Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:45:44.8378428Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:45:44.8378829Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:45:44.8379227Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:45:44.8379634Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:45:44.8380017Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:45:44.8380528Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:45:44.8380910Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:45:44.8381299Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:45:44.8381690Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:45:44.8382073Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:45:44.8382473Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:45:44.8382862Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:45:44.8383257Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:45:44.8383637Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:45:44.8384022Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:45:44.8384417Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:45:44.8384788Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:45:44.8385182Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:45:44.8385576Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:45:44.8386058Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:45:44.8386443Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:45:44.8386842Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:45:44.8387229Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:45:44.8387632Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:45:44.8388028Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:45:44.8388426Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:45:44.8388823Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:45:44.8389194Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:45:44.8389585Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:45:44.8389978Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:45:44.8390367Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:45:44.8390844Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:45:44.8391232Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:45:44.8395302Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:45:44.8395790Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:45:44.8396206Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:45:44.8396604Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:45:44.8397004Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:45:44.8397522Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:45:44.8397917Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:45:44.8398316Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:45:44.8398702Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:45:44.8399091Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:45:44.8399485Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:45:44.8399876Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:45:44.8400434Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:45:44.8400829Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:45:44.8401243Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:45:44.8401646Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:45:44.8402040Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:45:44.8402436Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:45:44.8402834Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:45:44.8403228Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:45:44.8403635Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:45:44.8404010Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:45:44.8404395Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:45:44.8404778Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:45:44.8405268Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:45:44.8405679Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:45:44.8406082Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:45:44.8406474Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:45:44.8406857Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:45:44.8407245Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:45:44.8407642Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:45:44.8408033Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:45:44.8408439Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:45:44.8408830Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:45:44.8409235Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:45:44.8409624Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:45:44.8410025Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:45:44.8410400Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:45:44.8410869Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:45:44.8411257Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:45:44.8411642Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:45:44.8412040Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:45:44.8412421Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:45:44.8412967Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:45:44.8413358Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:45:44.8413754Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:45:44.8414139Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:45:44.8414518Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:45:44.8414919Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:45:44.8415300Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:45:44.8415707Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:45:44.8416191Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:45:44.8416584Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:45:44.8416965Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:45:44.8417360Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:45:44.8417763Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:45:44.8418146Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:45:44.8418540Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:45:44.8418921Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:45:44.8419303Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:45:44.8419701Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:45:44.8420094Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:45:44.8420479Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:45:44.8420866Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:45:44.8421263Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:45:44.8421737Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:45:44.8422137Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:45:44.8422528Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:45:44.8422923Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:45:44.8423314Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:45:44.8423706Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:45:44.8424097Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:45:44.8424487Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:45:44.8424875Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:45:44.8425265Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:45:44.8425661Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:45:44.8426057Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:45:44.8426567Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:45:44.8426953Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:45:44.8427347Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:45:44.8427739Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:45:44.8428126Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:45:44.8428514Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:44.8428910Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:45:44.8429312Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:45:44.8429701Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:45:44.8430090Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:45:44.8430479Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:45:44.8430871Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:45:44.8431267Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:45:44.8431672Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:45:44.8432215Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:45:44.8432613Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:45:44.8433011Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:45:44.8433398Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:45:44.8433780Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:45:44.8434191Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:45:44.8434589Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:45:44.8434984Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:45:44.8435365Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:45:44.8435769Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:45:44.8436164Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:45:44.8436567Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:45:44.8436943Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:45:44.8437506Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:45:44.8437900Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:45:44.8438286Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:45:44.8438683Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:45:44.8439064Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:45:44.8439470Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:45:44.8439866Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:45:44.8440273Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:45:44.8440665Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:45:44.8441061Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:45:44.8441471Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:45:44.8441877Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:45:44.8442272Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:45:44.8442672Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:45:44.8443177Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:45:44.8443572Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:45:44.8443951Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:45:44.8444360Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:45:44.8444751Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:45:44.8445144Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:45:44.8445552Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:45:44.8445945Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:45:44.8446347Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:45:44.8446743Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:45:44.8447124Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:45:44.8447512Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:45:44.8448007Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:45:44.8448406Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:45:44.8448804Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:45:44.8449186Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:45:44.8449586Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:45:44.8449984Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:45:44.8450364Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:45:44.8450778Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:45:44.8451182Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:45:44.8451571Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:45:44.8451974Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:45:44.8452383Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:45:44.8452898Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:45:44.8453310Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:45:44.8453796Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:45:44.8454195Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:45:44.8454594Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:45:44.8454981Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:45:44.8455363Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:45:44.8455744Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:45:44.8456147Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:45:44.8456549Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:45:44.8456942Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:45:44.8457335Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:45:44.8457722Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:45:44.8458138Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:45:44.8458531Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:45:44.8459030Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:45:44.8459423Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:45:44.8459818Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:45:44.8460204Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:45:44.8460600Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:45:44.8460988Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:45:44.8461398Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:45:44.8461797Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:45:44.8462194Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:45:44.8462586Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:45:44.8462974Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:45:44.8463364Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:45:44.8463749Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:45:44.8464140Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:45:44.8464627Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:45:44.8465011Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:45:44.8465416Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:45:44.8465803Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:45:44.8466205Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:45:44.8466609Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:45:44.8467022Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:45:44.8467419Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:45:44.8467805Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:45:44.8468205Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:45:44.8468607Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:45:44.8468993Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:45:44.8469471Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:45:44.8469873Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:45:44.8470268Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:45:44.8470655Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:45:44.8471053Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:45:44.8471449Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:45:44.8471833Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:45:44.8472214Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:45:44.8472614Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:45:44.8473025Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:45:44.8473411Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:45:44.8473817Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:45:44.8474215Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:45:44.8474615Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:45:44.8475081Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:45:44.8475477Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:45:44.8475861Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:45:44.8476252Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:45:44.8476656Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:45:44.8477040Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:45:44.8477512Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:45:44.8477911Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:45:44.8478307Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:45:44.8478710Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:45:44.8479109Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:45:44.8479505Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:45:44.8479988Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:45:44.8480137Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:45:44.8480281Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:45:44.8480428Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:45:44.8480562Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:45:44.8480695Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:45:44.8480837Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:45:44.8480968Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:45:44.8481107Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:45:44.8481240Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:45:44.8481380Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:45:44.8481513Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:45:44.8481645Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:45:44.8481779Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:45:44.8481914Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:45:44.8482052Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:45:44.8482184Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:45:44.8482313Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:45:44.8482455Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:45:44.8482595Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:45:44.8482732Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:45:44.8482876Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:45:44.8483013Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:45:44.8483237Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:45:44.8483379Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:45:44.8483519Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:45:44.8483670Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:45:44.8483822Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:45:44.8483964Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:45:44.8484098Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:45:44.8484251Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:45:44.8484388Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:45:44.8484538Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:45:44.8484676Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:45:44.8484819Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:45:44.8484969Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:45:44.8485110Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:45:44.8485258Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:45:44.8485400Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:45:44.8485541Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:45:44.8485691Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:45:44.8485826Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:45:44.8486066Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:45:44.8486211Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:45:44.8486360Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:45:44.8486502Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:45:44.8486643Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:45:44.8486790Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:45:44.8486930Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:45:44.8487078Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:45:44.8487218Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:45:44.8487361Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:45:44.8487522Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:45:44.8487665Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:45:44.8487821Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:45:44.8487964Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:45:44.8488102Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:45:44.8488260Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:45:44.8488401Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:45:44.8488549Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:45:44.8488689Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:45:44.8488833Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:45:44.8488988Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:45:44.8489122Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:45:44.8489358Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:45:44.8489498Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:45:44.8489650Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:45:44.8489784Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:45:44.8489923Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:45:44.8490066Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:45:44.8490199Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:45:44.8490346Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:45:44.8490482Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:45:44.8490617Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:45:44.8490776Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:45:44.8490924Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:45:44.8491076Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:45:44.8491217Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:45:44.8491359Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:45:44.8491502Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:45:44.8491642Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:45:44.8491790Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:45:44.8491932Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:45:44.8492166Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:45:44.8492306Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:45:44.8492449Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:45:44.8492596Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:45:44.8492854Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:45:44.8493006Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:45:44.8493140Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:45:44.8493281Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:45:44.8493431Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:45:44.8493572Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:45:44.8493721Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:45:44.8493859Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:45:44.8494005Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:45:44.8494156Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:45:44.8494297Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:45:44.8494441Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:45:44.8494579Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:45:44.8494729Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:45:44.8494868Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:45:44.8495006Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:45:44.8495155Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:45:44.8495292Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:45:44.8495561Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:45:44.8495706Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:45:44.8495851Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:45:44.8495993Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:45:44.8496151Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:45:44.8496292Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:45:44.8496432Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:45:44.8496575Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:45:44.8496724Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:45:44.8496869Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:45:44.8497010Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:45:44.8497157Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:45:44.8497308Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:45:44.8497441Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:45:44.8497583Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:45:44.8497730Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:45:44.8497869Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:45:44.8498016Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:45:44.8498156Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:45:44.8498395Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:45:44.8498537Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:45:44.8498685Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:45:44.8498832Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:45:44.8498974Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:45:44.8499115Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:45:44.8499255Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:45:44.8499395Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:45:44.8499540Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:45:44.8499684Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:45:44.8499831Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:45:44.8499976Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:45:44.8500121Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:45:44.8500263Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:45:44.8500404Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:45:44.8500554Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:45:44.8500696Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:45:44.8500840Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:45:44.8500989Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:45:44.8501135Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:45:44.8501279Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:45:44.8501423Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:45:44.8501567Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:45:44.8501796Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:45:44.8501933Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:45:44.8502082Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:45:44.8502230Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:45:44.8502378Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:45:44.8502519Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:45:44.8502660Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:45:44.8502806Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:45:44.8502952Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:45:44.8503102Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:45:44.8503240Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:45:44.8503381Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:45:44.8503528Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:45:44.8503668Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:45:44.8503810Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:45:44.8503955Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:45:44.8504097Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:45:44.8504243Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:45:44.8504464Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:45:44.8504616Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:45:44.8504765Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:45:44.8504914Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:45:44.8505065Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:45:44.8505206Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:45:44.8505353Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:45:44.8505495Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:45:44.8505641Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:45:44.8505779Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:45:44.8505920Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:45:44.8506073Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:45:44.8506218Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:45:44.8506360Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:45:44.8506501Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:45:44.8506644Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:45:44.8506789Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:45:44.8506922Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:45:44.8507067Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:45:44.8507208Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:45:44.8507349Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:45:44.8507497Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:45:44.8507639Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:45:44.8507869Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:45:44.8508013Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:45:44.8508158Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:45:44.8508300Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:45:44.8508434Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:45:44.8508579Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:45:44.8508718Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:45:44.8508860Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:45:44.8509001Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:45:44.8509141Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:45:44.8509295Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:45:44.8509436Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:45:44.8509581Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:45:44.8509722Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:45:44.8509862Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:45:44.8510010Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:45:44.8510153Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:45:44.8510299Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:45:44.8510439Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:45:44.8510662Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:45:44.8510807Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:45:44.8510939Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:45:44.8511084Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:45:44.8511227Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:45:44.8511371Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:45:44.8511514Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:45:44.8511652Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:45:44.8511798Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:45:44.8511942Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:45:44.8512092Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:45:44.8512235Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:45:44.8512372Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:45:44.8512518Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:45:44.8512663Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:45:44.8512812Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:45:44.8512954Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:45:44.8513100Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:45:44.8513242Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:45:44.8513382Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:45:44.8513536Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:45:44.8513679Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:45:44.8513907Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:45:44.8514045Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:45:44.8514186Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:45:44.8514335Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:45:44.8514549Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:45:44.8514697Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:45:44.8514843Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:45:44.8514987Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:45:44.8515136Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:45:44.8515275Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:45:44.8515430Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:45:44.8515573Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:45:44.8515722Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:45:44.8515864Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:45:44.8516004Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:45:44.8516156Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:45:44.8516309Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:45:44.8516470Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:45:44.8516620Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:45:45.5637205Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:45:45.5661823Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:45.5665916Z ##[endgroup] 2025-09-07T07:45:45.5666362Z ##[group]Determining the checkout info 2025-09-07T07:45:45.5666858Z ##[endgroup] 2025-09-07T07:45:45.5670573Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:45:45.7622786Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:45:45.7699620Z ##[group]Checking out the ref 2025-09-07T07:45:45.7703553Z [command]/usr/bin/git checkout --progress 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You can look around, make experimental 2025-09-07T07:45:47.4917212Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:45:47.4917831Z state without impacting any branches by switching back to a branch. 2025-09-07T07:45:47.4918171Z 2025-09-07T07:45:47.4918381Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:45:47.4918918Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:45:47.4919216Z 2025-09-07T07:45:47.4919350Z git switch -c 2025-09-07T07:45:47.4919550Z 2025-09-07T07:45:47.4919659Z Or undo this operation with: 2025-09-07T07:45:47.4919865Z 2025-09-07T07:45:47.4919955Z git switch - 2025-09-07T07:45:47.4920098Z 2025-09-07T07:45:47.4920339Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:45:47.4920695Z 2025-09-07T07:45:47.4921136Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:45:47.5021858Z ##[endgroup] 2025-09-07T07:45:47.5022298Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:45:47.5027330Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:45:47.5146080Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:45:47.5172910Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:45:47.5515323Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:45:47.5578219Z ##[endgroup] 2025-09-07T07:45:47.5578633Z ##[group]Fetching submodules 2025-09-07T07:45:47.5586930Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:45:47.5821960Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:45:47.6495438Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:45:47.6793906Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:45:47.7152490Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:45:47.7643951Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:45:47.8399862Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:45:47.8766177Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:45:47.9037971Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:45:47.9367160Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:45:47.9639410Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:45:47.9935457Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:45:48.0230354Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:45:48.0581589Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:45:48.1027554Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:45:48.1323179Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:45:48.1793675Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:45:48.2068733Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:45:48.2514807Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:45:48.2837708Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:45:48.3143727Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:45:48.3448716Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:45:48.3749628Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:45:48.4019994Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:45:48.4347301Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:45:48.4860714Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:45:48.5220859Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:45:48.5560880Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:45:48.5885468Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:45:48.6168075Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:45:48.6482664Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:45:48.6859244Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:45:48.7370729Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:45:48.7761058Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:45:48.8104376Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:45:48.8411466Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:45:48.8718394Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:45:48.9035126Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:45:48.9301885Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:45:48.9330369Z Cloning into '/home/charlie/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:45:50.6294904Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:45:52.2367455Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:45:53.5420536Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:45:54.8006437Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:45:56.4498899Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:45:59.3872287Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:46:10.3942040Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:46:14.1177253Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:46:14.6391688Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:46:17.9679621Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:46:18.6609123Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:46:19.3750964Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:46:21.0716603Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:46:24.7817071Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:46:27.2558750Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:46:28.6158251Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:46:30.0073918Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:46:31.1177076Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:46:31.6545100Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:46:32.1500680Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:46:33.1545705Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:46:33.6140513Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:46:34.1729733Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:46:35.4583664Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:46:36.0556247Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:46:36.9975996Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:46:43.9423567Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:46:46.7401529Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:46:54.2251421Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:46:54.5772274Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:47:03.2118256Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:47:03.4937533Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:47:03.8445440Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:47:04.8223522Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:47:05.2530236Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:47:06.1921829Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:47:06.7354106Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:47:06.7484234Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:47:06.7583205Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:47:06.7829652Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:47:06.8621578Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:47:06.9210372Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:47:07.6376264Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:47:07.7998430Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:47:07.8033136Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:47:07.8059965Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:47:11.3884753Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:47:11.4112664Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:47:11.7236644Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:47:11.7719466Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:47:11.8720945Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:47:11.9164937Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:47:12.5584955Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:47:12.6983846Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:47:12.7014770Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:47:12.7025103Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:47:12.7034958Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:47:12.7045449Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:47:12.7056058Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:47:12.7066371Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:47:12.7077093Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:47:12.7103366Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:47:13.9423766Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:47:15.0457863Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:47:15.7949828Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:47:17.7204451Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:47:18.7800561Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:47:19.1859260Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:47:26.1967830Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:47:26.4367401Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:47:26.5474561Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:47:27.1661517Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:47:27.2129711Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:47:27.2252939Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:47:27.3336734Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:47:27.4016516Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:47:27.4047292Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:47:27.4058262Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:47:27.4082960Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:47:30.6969202Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:47:34.0979604Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:47:34.6943591Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:47:34.8615708Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:47:34.8942578Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:47:34.9367811Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:47:34.9609727Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:47:35.0063325Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:47:35.0193600Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:47:35.0219614Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:47:35.0244910Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:47:50.1308448Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:47:50.1683002Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:47:50.3689833Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:47:50.3951127Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:47:50.4014636Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:47:50.4227702Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:47:50.4256597Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:47:51.4163083Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:47:53.1960277Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:47:55.5505242Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:47:55.5884059Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:47:55.6259358Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:47:55.6767391Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:47:55.7598256Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:47:55.8075293Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:47:55.8572270Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:47:55.8941256Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:47:55.9926705Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:47:56.0127766Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:47:57.8855772Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:47:58.6609457Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:48:00.3709870Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:48:01.0447455Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:48:01.8862215Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:48:03.3413103Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:48:13.4075268Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:48:14.4339309Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:48:14.4599987Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:48:14.5181061Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:48:14.5511485Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:48:14.5860961Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:14.5885378Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:48:15.6791595Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:48:15.7309509Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:48:15.8092876Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:48:16.2382181Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:48:16.3410897Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:48:16.4070713Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:48:16.4945578Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:48:16.5669433Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:48:16.6407323Z Submodule path 'third_party/mimalloc': checked out 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file:/home/charlie/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:48:57.8606205Z Entering 'third_party/FP16' 2025-09-07T07:48:57.8644938Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:48:57.8662966Z Entering 'third_party/FXdiv' 2025-09-07T07:48:57.8701458Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:48:57.8718644Z Entering 'third_party/NNPACK' 2025-09-07T07:48:57.8755950Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:48:57.8773963Z Entering 'third_party/NVTX' 2025-09-07T07:48:57.8810410Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:48:57.8828630Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:48:57.8868230Z 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2025-09-07T07:48:57.9174453Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:48:57.9201687Z Entering 'third_party/cpp-httplib' 2025-09-07T07:48:57.9238993Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:48:57.9257168Z Entering 'third_party/cpuinfo' 2025-09-07T07:48:57.9295848Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:48:57.9314440Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:48:57.9352350Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:48:57.9370279Z Entering 'third_party/cutlass' 2025-09-07T07:48:57.9408438Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:48:57.9436622Z Entering 'third_party/fbgemm' 2025-09-07T07:48:57.9475359Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:48:57.9496361Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:57.9534344Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:48:57.9551175Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:57.9588971Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:48:57.9612319Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:57.9650343Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:48:57.9667786Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:57.9705015Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:48:57.9732507Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:57.9769371Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:48:57.9786718Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:57.9823472Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:48:57.9840355Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:48:57.9877708Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:48:57.9898108Z Entering 'third_party/flash-attention' 2025-09-07T07:48:57.9937129Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:48:57.9955053Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:57.9992166Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:48:58.0016589Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:58.0054382Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:48:58.0081763Z Entering 'third_party/flatbuffers' 2025-09-07T07:48:58.0118430Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:48:58.0139314Z Entering 'third_party/fmt' 2025-09-07T07:48:58.0178243Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:48:58.0195511Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:48:58.0231745Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:48:58.0249422Z Entering 'third_party/gloo' 2025-09-07T07:48:58.0286875Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:48:58.0305162Z Entering 'third_party/googletest' 2025-09-07T07:48:58.0343208Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:48:58.0361163Z Entering 'third_party/ideep' 2025-09-07T07:48:58.0398200Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:48:58.0415454Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:58.0452319Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:48:58.0477834Z Entering 'third_party/ittapi' 2025-09-07T07:48:58.0515434Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:48:58.0533545Z Entering 'third_party/kineto' 2025-09-07T07:48:58.0571316Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:48:58.0588884Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:48:58.0626641Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:48:58.0643419Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:48:58.0679322Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:48:58.0697743Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:48:58.0736261Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:48:58.0752846Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:48:58.0811599Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:48:58.0828548Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:48:58.0866058Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:48:58.0881772Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:48:58.0919550Z 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2025-09-07T07:48:59.0040787Z set-safe-directory: true 2025-09-07T07:48:59.0041049Z env: 2025-09-07T07:48:59.0041260Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:48:59.0041522Z ##[endgroup] 2025-09-07T07:48:59.1002241Z Syncing repository: pytorch/pytorch 2025-09-07T07:48:59.1005191Z ##[group]Getting Git version info 2025-09-07T07:48:59.1005596Z Working directory is '/home/charlie/_work/pytorch/pytorch' 2025-09-07T07:48:59.1038800Z [command]/usr/bin/git version 2025-09-07T07:48:59.1074441Z git version 2.51.0 2025-09-07T07:48:59.1098146Z ##[endgroup] 2025-09-07T07:48:59.1110446Z Temporarily overriding HOME='/home/charlie/_work/_temp/fdddde31-7819-4b12-8582-e8f27b140e66' before making global git config changes 2025-09-07T07:48:59.1111370Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:48:59.1123002Z [command]/usr/bin/git config --global --add safe.directory /home/charlie/_work/pytorch/pytorch 2025-09-07T07:48:59.1158782Z [command]/usr/bin/git 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1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T07:48:59.2446980Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T07:48:59.2489417Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T07:48:59.2516805Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 2025-09-07T07:48:59.2601901Z 7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d) 2025-09-07T07:48:59.2745155Z 89c932f313c6437c38f2982869beacc89c2f2246 third_party/cpp-httplib (v0.26.0) 2025-09-07T07:48:59.2868949Z 5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244) 2025-09-07T07:48:59.2909877Z f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055) 2025-09-07T07:48:59.3012908Z e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 third_party/cutlass (v4.1.0) 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072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master) 2025-09-07T07:48:59.5515785Z 4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e) 2025-09-07T07:48:59.5541739Z f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8 third_party/pybind11 (v3.0.1) 2025-09-07T07:48:59.5615450Z f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated) 2025-09-07T07:48:59.5695590Z 5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8) 2025-09-07T07:48:59.5765654Z af0118d13e52f5a08841464a768e01a0bf3e3075 third_party/tensorpipe (heads/main) 2025-09-07T07:48:59.5777800Z ##[group]Cleaning the repository 2025-09-07T07:48:59.5782048Z [command]/usr/bin/git clean -ffdx 2025-09-07T07:48:59.6087014Z [command]/usr/bin/git reset --hard HEAD 2025-09-07T07:49:00.2397125Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:49:00.2418600Z ##[endgroup] 2025-09-07T07:49:00.2420660Z ##[group]Disabling automatic 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2025-09-07T07:49:00.5233573Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:00.5273681Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:00.5312753Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:00.5354977Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:00.5397571Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:00.5458105Z Entering 'third_party/pocketfft' 2025-09-07T07:49:00.5500068Z Entering 'third_party/protobuf' 2025-09-07T07:49:00.5544883Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:00.5584093Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:00.5625861Z Entering 'third_party/psimd' 2025-09-07T07:49:00.5667701Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:00.5709048Z Entering 'third_party/pybind11' 2025-09-07T07:49:00.5751715Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:00.5793756Z Entering 'third_party/sleef' 2025-09-07T07:49:00.5835113Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:00.5877032Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:00.5916247Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:00.5956550Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:00.5996424Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:00.6035178Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:00.6094242Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:49:00.6116114Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6123253Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T07:49:00.6154087Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:49:00.6378928Z Entering 'android/libs/fbjni' 2025-09-07T07:49:00.6402642Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6435547Z Entering 'third_party/FP16' 2025-09-07T07:49:00.6460740Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6492792Z Entering 'third_party/FXdiv' 2025-09-07T07:49:00.6516786Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6548996Z Entering 'third_party/NNPACK' 2025-09-07T07:49:00.6573690Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6603474Z Entering 'third_party/NVTX' 2025-09-07T07:49:00.6627982Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6660169Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:00.6685024Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6715999Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:00.6741236Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6788133Z Entering 'third_party/aiter' 2025-09-07T07:49:00.6813741Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6849066Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:00.6872584Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6913513Z Entering 'third_party/benchmark' 2025-09-07T07:49:00.6938709Z http.https://github.com/.extraheader 2025-09-07T07:49:00.6972293Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:00.6996494Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7036455Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:00.7061411Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7092144Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:00.7116902Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7150508Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:00.7175627Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7205759Z Entering 'third_party/cutlass' 2025-09-07T07:49:00.7231026Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7271048Z Entering 'third_party/fbgemm' 2025-09-07T07:49:00.7296237Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7329469Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:00.7352805Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7383958Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:00.7407080Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7448944Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:00.7472661Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7506418Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:00.7530004Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7573154Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:00.7596976Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7629561Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:00.7654982Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7684507Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:00.7707802Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7741655Z Entering 'third_party/flash-attention' 2025-09-07T07:49:00.7766636Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7797924Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:00.7821854Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7859954Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:00.7884103Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7925885Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:00.7951830Z http.https://github.com/.extraheader 2025-09-07T07:49:00.7986230Z Entering 'third_party/fmt' 2025-09-07T07:49:00.8011023Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8043058Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:00.8068073Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8099302Z Entering 'third_party/gloo' 2025-09-07T07:49:00.8124300Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8158685Z Entering 'third_party/googletest' 2025-09-07T07:49:00.8184343Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8218031Z Entering 'third_party/ideep' 2025-09-07T07:49:00.8242476Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8271971Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:00.8295970Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8338106Z Entering 'third_party/ittapi' 2025-09-07T07:49:00.8362770Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8393825Z Entering 'third_party/kineto' 2025-09-07T07:49:00.8419459Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8450041Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:00.8473744Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8505484Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:00.8529191Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8565001Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:00.8588925Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8620072Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:00.8644062Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8675268Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:00.8699271Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8729101Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:00.8752823Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8785685Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:00.8809872Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8842014Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:00.8865918Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8899707Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:00.8923349Z http.https://github.com/.extraheader 2025-09-07T07:49:00.8955175Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:00.8980418Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9050634Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:00.9075048Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9107127Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:00.9130677Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9179290Z Entering 'third_party/kleidiai' 2025-09-07T07:49:00.9203634Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9256582Z Entering 'third_party/mimalloc' 2025-09-07T07:49:00.9280825Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9311608Z Entering 'third_party/nlohmann' 2025-09-07T07:49:00.9336602Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9369049Z Entering 'third_party/onnx' 2025-09-07T07:49:00.9393426Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9443226Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:00.9467084Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9502755Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:00.9527494Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9559428Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:00.9582398Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9614505Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:00.9638380Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9668644Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:00.9691939Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9723265Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:00.9746128Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9777629Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:00.9800706Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9830493Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:00.9854486Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9884856Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:00.9907815Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9937391Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:00.9960167Z http.https://github.com/.extraheader 2025-09-07T07:49:00.9992706Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:01.0016531Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0049186Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:01.0071926Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0125771Z Entering 'third_party/pocketfft' 2025-09-07T07:49:01.0151325Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0181379Z Entering 'third_party/protobuf' 2025-09-07T07:49:01.0205954Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0239519Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:01.0262775Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0291962Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:01.0315963Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0347392Z Entering 'third_party/psimd' 2025-09-07T07:49:01.0371695Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0402198Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:01.0426427Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0459004Z Entering 'third_party/pybind11' 2025-09-07T07:49:01.0483427Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0514429Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:01.0539560Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0571265Z Entering 'third_party/sleef' 2025-09-07T07:49:01.0595020Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0625967Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:01.0649790Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0679314Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:01.0702541Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0734177Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:01.0756943Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0789262Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:01.0812835Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0844812Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:01.0867981Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0898499Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:01.0921810Z http.https://github.com/.extraheader 2025-09-07T07:49:01.0972954Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:49:01.1007533Z ##[endgroup] 2025-09-07T07:49:01.1007947Z ##[group]Fetching the repository 2025-09-07T07:49:01.1014827Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:49:01.6945944Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:49:01.6969281Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:01.6974165Z ##[endgroup] 2025-09-07T07:49:01.6974605Z ##[group]Determining the checkout info 2025-09-07T07:49:01.6975362Z ##[endgroup] 2025-09-07T07:49:01.6978988Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:49:01.7181369Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:49:01.7211268Z ##[group]Checking out the ref 2025-09-07T07:49:01.7216175Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:01.7565678Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:49:01.7573141Z ##[endgroup] 2025-09-07T07:49:01.7573572Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:49:01.7578507Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:49:01.7618284Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:49:01.7644619Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:49:01.7673860Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:49:01.7696607Z ##[endgroup] 2025-09-07T07:49:01.7697064Z ##[group]Fetching submodules 2025-09-07T07:49:01.7700015Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:49:01.7938238Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T07:49:01.7958707Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T07:49:01.7980998Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T07:49:01.8002896Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T07:49:01.8025711Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T07:49:01.8048377Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:01.8070578Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T07:49:01.8108823Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T07:49:01.8130092Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:01.8160815Z Synchronizing submodule url for 'third_party/benchmark' 2025-09-07T07:49:01.8183356Z Synchronizing submodule url for 'third_party/composable_kernel' 2025-09-07T07:49:01.8215118Z Synchronizing submodule url for 'third_party/cpp-httplib' 2025-09-07T07:49:01.8235970Z Synchronizing submodule url for 'third_party/cpuinfo' 2025-09-07T07:49:01.8258599Z Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-09-07T07:49:01.8280576Z Synchronizing submodule url for 'third_party/cutlass' 2025-09-07T07:49:01.8311899Z Synchronizing submodule url for 'third_party/fbgemm' 2025-09-07T07:49:01.8334660Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:01.8354132Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:01.8382932Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:01.8403454Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:01.8434227Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:01.8454173Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:01.8472838Z Synchronizing submodule url for 'third_party/fbgemm/external/json' 2025-09-07T07:49:01.8502056Z Synchronizing submodule url for 'third_party/flash-attention' 2025-09-07T07:49:01.8525037Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:01.8550015Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:01.8581417Z Synchronizing submodule url for 'third_party/flatbuffers' 2025-09-07T07:49:01.8605870Z Synchronizing submodule url for 'third_party/fmt' 2025-09-07T07:49:01.8628873Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:01.8650654Z Synchronizing submodule url for 'third_party/gloo' 2025-09-07T07:49:01.8673121Z Synchronizing submodule url for 'third_party/googletest' 2025-09-07T07:49:01.8695037Z Synchronizing submodule url for 'third_party/ideep' 2025-09-07T07:49:01.8713134Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:01.8741735Z Synchronizing submodule url for 'third_party/ittapi' 2025-09-07T07:49:01.8763683Z Synchronizing submodule url for 'third_party/kineto' 2025-09-07T07:49:01.8784738Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:01.8803610Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:01.8826369Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:01.8847153Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:01.8868229Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:01.8887446Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:01.8909476Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:01.8930377Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:01.8952453Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:01.9006765Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:01.9028903Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:01.9048468Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:01.9071673Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T07:49:01.9141634Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T07:49:01.9182453Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T07:49:01.9205190Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T07:49:01.9259608Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:01.9283998Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T07:49:01.9306112Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:01.9325853Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:01.9345999Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:01.9365698Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:01.9387655Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:01.9407214Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:01.9428789Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:01.9447787Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:01.9470665Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:01.9497007Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:01.9540996Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T07:49:01.9563917Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T07:49:01.9588296Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:01.9608182Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:01.9632397Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T07:49:01.9654852Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T07:49:01.9677185Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T07:49:01.9699827Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T07:49:01.9720810Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T07:49:01.9743870Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T07:49:01.9764246Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:01.9784927Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:01.9804896Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:01.9825566Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:01.9849064Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:01.9882893Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:49:02.0266953Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:49:02.0389810Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:49:02.0481386Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:49:02.0720250Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:49:02.1692526Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:49:02.2089524Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:49:03.2745674Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:49:03.5179999Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:49:03.8396335Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:49:03.8606199Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:49:04.2269707Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:49:04.2945489Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:49:04.4404913Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:49:04.4927745Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:49:05.3568477Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:49:05.5027433Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:49:05.5743461Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:49:05.8848552Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:49:06.0307058Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:49:06.2818521Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:49:06.3220149Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:49:06.3353336Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:49:06.4508746Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:49:06.5373722Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:49:06.6806993Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:49:07.5674983Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:49:07.8571320Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:49:07.8899416Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:49:07.9340539Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:49:07.9558449Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:49:07.9685143Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:49:07.9821313Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:49:08.2238073Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:49:08.2455664Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:49:08.3487260Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:49:08.5208003Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:49:08.7340262Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:49:08.7509319Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:49:08.7857989Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:49:08.8001811Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:49:08.8091662Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:49:08.8253590Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:49:08.8634408Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:49:08.9194127Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:49:08.9358723Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:49:08.9661590Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:49:09.0059877Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:49:09.0537961Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:49:09.1148023Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:49:09.2443679Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:49:09.4371195Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:49:09.4721961Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:49:09.5382152Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:49:09.5502754Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:49:09.5883859Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:49:09.6009508Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:49:09.7170480Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:49:09.7327099Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:49:09.7469379Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:49:09.7604580Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:49:09.9772619Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:49:10.0167142Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:49:10.2924287Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:49:10.3048970Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:49:10.4116301Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:49:10.4252219Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:49:10.4691970Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:49:10.4784543Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:49:10.4958165Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:49:10.5330335Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:49:10.5830150Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:49:10.6375346Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:49:10.6638965Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:49:10.7015920Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:49:10.7169851Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:49:10.7730072Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:49:10.7977389Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T07:49:10.8063199Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T07:49:10.8100447Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T07:49:10.8328717Z Entering 'android/libs/fbjni' 2025-09-07T07:49:10.8364979Z Entering 'third_party/FP16' 2025-09-07T07:49:10.8400969Z Entering 'third_party/FXdiv' 2025-09-07T07:49:10.8439675Z Entering 'third_party/NNPACK' 2025-09-07T07:49:10.8476118Z Entering 'third_party/NVTX' 2025-09-07T07:49:10.8514383Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:10.8551882Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:10.8604884Z Entering 'third_party/aiter' 2025-09-07T07:49:10.8643274Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:10.8688699Z Entering 'third_party/benchmark' 2025-09-07T07:49:10.8726014Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:10.8770742Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:10.8807028Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:10.8844918Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:10.8882370Z Entering 'third_party/cutlass' 2025-09-07T07:49:10.8931411Z Entering 'third_party/fbgemm' 2025-09-07T07:49:10.8971289Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:10.9005777Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:10.9048573Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:10.9084591Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:10.9128760Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:10.9163956Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:10.9198986Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:10.9236830Z Entering 'third_party/flash-attention' 2025-09-07T07:49:10.9274711Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:10.9317255Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:10.9362009Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:10.9401217Z Entering 'third_party/fmt' 2025-09-07T07:49:10.9438514Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:10.9474423Z Entering 'third_party/gloo' 2025-09-07T07:49:10.9512894Z Entering 'third_party/googletest' 2025-09-07T07:49:10.9548887Z Entering 'third_party/ideep' 2025-09-07T07:49:10.9583434Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:10.9627641Z Entering 'third_party/ittapi' 2025-09-07T07:49:10.9664481Z Entering 'third_party/kineto' 2025-09-07T07:49:10.9700376Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:10.9736642Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:10.9772630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:10.9809453Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:10.9844121Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:10.9878621Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:10.9915104Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:10.9950006Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:10.9985630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:11.0023665Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:11.0061392Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:11.0097448Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:11.0134926Z Entering 'third_party/kleidiai' 2025-09-07T07:49:11.0173164Z Entering 'third_party/mimalloc' 2025-09-07T07:49:11.0211329Z Entering 'third_party/nlohmann' 2025-09-07T07:49:11.0250617Z Entering 'third_party/onnx' 2025-09-07T07:49:11.0306836Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:11.0345583Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:11.0384593Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:11.0419012Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:11.0455110Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:11.0489785Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:11.0527326Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:11.0566540Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:11.0602753Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:11.0642720Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:11.0680546Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:11.0721492Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:11.0779644Z Entering 'third_party/pocketfft' 2025-09-07T07:49:11.0816982Z Entering 'third_party/protobuf' 2025-09-07T07:49:11.0868480Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:11.0903202Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:11.0944357Z Entering 'third_party/psimd' 2025-09-07T07:49:11.0982619Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:11.1021644Z Entering 'third_party/pybind11' 2025-09-07T07:49:11.1058093Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:11.1095908Z Entering 'third_party/sleef' 2025-09-07T07:49:11.1132545Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:11.1169196Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:11.1204151Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:11.1240454Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:11.1275789Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:11.1320183Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:11.1368467Z ##[endgroup] 2025-09-07T07:49:11.1368914Z ##[group]Persisting credentials for submodules 2025-09-07T07:49:11.1375530Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2025-09-07T07:49:11.1601142Z Entering 'android/libs/fbjni' 2025-09-07T07:49:11.1625050Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1625422Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1660057Z Entering 'third_party/FP16' 2025-09-07T07:49:11.1684417Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1684759Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1723671Z Entering 'third_party/FXdiv' 2025-09-07T07:49:11.1748790Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1749148Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1793015Z Entering 'third_party/NNPACK' 2025-09-07T07:49:11.1819145Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1819498Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1856803Z Entering 'third_party/NVTX' 2025-09-07T07:49:11.1882154Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1882507Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1917949Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:11.1943129Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1943485Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1975154Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:11.1999455Z url.https://github.com/.insteadof 2025-09-07T07:49:11.1999809Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2092824Z Entering 'third_party/aiter' 2025-09-07T07:49:11.2118576Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2119215Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2155185Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:11.2179557Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2179915Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2223721Z Entering 'third_party/benchmark' 2025-09-07T07:49:11.2249122Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2249458Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2279912Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:11.2304289Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2304644Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2449457Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:11.2474800Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2475172Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2521535Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:11.2546716Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2547067Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2579239Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:11.2605137Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2605541Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2680355Z Entering 'third_party/cutlass' 2025-09-07T07:49:11.2704973Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2705323Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2756013Z Entering 'third_party/fbgemm' 2025-09-07T07:49:11.2780823Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2781162Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2814653Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:11.2837930Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2838286Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2869915Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:11.2892954Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2893294Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2933586Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:11.2957245Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2957601Z url.https://github.com/.insteadof 2025-09-07T07:49:11.2987519Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:11.3011465Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3011821Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3050279Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:11.3074247Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3074593Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3104551Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:11.3128082Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3128431Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3157193Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:11.3181869Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3182223Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3218484Z Entering 'third_party/flash-attention' 2025-09-07T07:49:11.3243145Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3243485Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3273772Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:11.3296826Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3297188Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3334935Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:11.3358549Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3358908Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3401950Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:11.3426984Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3427327Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3466740Z Entering 'third_party/fmt' 2025-09-07T07:49:11.3491348Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3491713Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3523284Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:11.3548919Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3549259Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3582071Z Entering 'third_party/gloo' 2025-09-07T07:49:11.3606857Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3607200Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3639532Z Entering 'third_party/googletest' 2025-09-07T07:49:11.3664615Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3664963Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3696128Z Entering 'third_party/ideep' 2025-09-07T07:49:11.3720412Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3720752Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3749568Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:11.3773730Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3774092Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3815555Z Entering 'third_party/ittapi' 2025-09-07T07:49:11.3839854Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3840207Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3870278Z Entering 'third_party/kineto' 2025-09-07T07:49:11.3894940Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3895295Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3924798Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:11.3948903Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3949255Z url.https://github.com/.insteadof 2025-09-07T07:49:11.3980645Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:11.4004412Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4004759Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4037310Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:11.4062470Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4062823Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4095519Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:11.4119195Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4119534Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4152208Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:11.4176266Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4176622Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4207934Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:11.4231668Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4232010Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4264297Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:11.4288433Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4288783Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4319922Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:11.4343618Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4343981Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4376150Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:11.4399920Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4400280Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4431265Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:11.4455552Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4455905Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4487877Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:11.4511897Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4512231Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4541793Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:11.4565293Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4565638Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4597341Z Entering 'third_party/kleidiai' 2025-09-07T07:49:11.4622581Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4623134Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4653535Z Entering 'third_party/mimalloc' 2025-09-07T07:49:11.4677454Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4677787Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4729344Z Entering 'third_party/nlohmann' 2025-09-07T07:49:11.4753501Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4753837Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4785886Z Entering 'third_party/onnx' 2025-09-07T07:49:11.4818793Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4819132Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4866945Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:11.4890364Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4890717Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4923030Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:11.4948136Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4948483Z url.https://github.com/.insteadof 2025-09-07T07:49:11.4980363Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:11.5003027Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5003373Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5032293Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:11.5057313Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5057666Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5087079Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:11.5110733Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5111092Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5140249Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:11.5163782Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5164296Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5195109Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:11.5218983Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5219333Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5248991Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:11.5272259Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5272597Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5302226Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:11.5325484Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5325831Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5354348Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:11.5378047Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5378406Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5409881Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:11.5432587Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5432928Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5467063Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:11.5490704Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5491057Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5542184Z Entering 'third_party/pocketfft' 2025-09-07T07:49:11.5567089Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5567425Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5597770Z Entering 'third_party/protobuf' 2025-09-07T07:49:11.5622516Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5622855Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5657685Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:11.5680854Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5681195Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5710800Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:11.5735397Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5735745Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5769745Z Entering 'third_party/psimd' 2025-09-07T07:49:11.5793963Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5794299Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5824630Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:11.5848950Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5849314Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5880269Z Entering 'third_party/pybind11' 2025-09-07T07:49:11.5905011Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5905362Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5935549Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:11.5959830Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5960173Z url.https://github.com/.insteadof 2025-09-07T07:49:11.5989918Z Entering 'third_party/sleef' 2025-09-07T07:49:11.6015100Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6015459Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6047085Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:11.6071945Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6072302Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6103569Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:11.6126874Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6127229Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6157489Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:11.6182690Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6183031Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6212992Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:11.6237166Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6237554Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6268464Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:11.6292340Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6292815Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6321521Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:11.6345274Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6345647Z url.https://github.com/.insteadof 2025-09-07T07:49:11.6392923Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T07:49:11.6622235Z Entering 'android/libs/fbjni' 2025-09-07T07:49:11.6658838Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:49:11.6676327Z Entering 'third_party/FP16' 2025-09-07T07:49:11.6713503Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:49:11.6730986Z Entering 'third_party/FXdiv' 2025-09-07T07:49:11.6768655Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:49:11.6786593Z Entering 'third_party/NNPACK' 2025-09-07T07:49:11.6823469Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:49:11.6841171Z Entering 'third_party/NVTX' 2025-09-07T07:49:11.6878525Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:49:11.6897526Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:11.6934226Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:49:11.6951921Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:11.6992614Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:49:11.7027016Z Entering 'third_party/aiter' 2025-09-07T07:49:11.7066065Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:49:11.7084736Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:11.7121476Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:49:11.7149722Z Entering 'third_party/benchmark' 2025-09-07T07:49:11.7186593Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:49:11.7204485Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:11.7241642Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:49:11.7268996Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:11.7306048Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:49:11.7323755Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:11.7360437Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:49:11.7379143Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:11.7416129Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:49:11.7433940Z Entering 'third_party/cutlass' 2025-09-07T07:49:11.7471606Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:49:11.7499836Z Entering 'third_party/fbgemm' 2025-09-07T07:49:11.7537755Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:49:11.7557565Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:11.7598136Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:49:11.7615555Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:11.7652093Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:49:11.7677784Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:11.7714233Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:49:11.7731719Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:11.7768608Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:49:11.7795986Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:11.7832193Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:49:11.7849029Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:11.7886809Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:49:11.7903380Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:11.7939403Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:49:11.7959585Z Entering 'third_party/flash-attention' 2025-09-07T07:49:11.7997752Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:49:11.8016868Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:11.8052214Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:49:11.8076412Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:11.8111712Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:49:11.8139206Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:11.8175769Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:49:11.8196576Z Entering 'third_party/fmt' 2025-09-07T07:49:11.8236294Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:49:11.8253834Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:11.8290608Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:49:11.8308703Z Entering 'third_party/gloo' 2025-09-07T07:49:11.8344853Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:49:11.8363073Z Entering 'third_party/googletest' 2025-09-07T07:49:11.8400449Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:49:11.8418881Z Entering 'third_party/ideep' 2025-09-07T07:49:11.8455963Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:49:11.8472665Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:11.8508570Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:49:11.8533539Z Entering 'third_party/ittapi' 2025-09-07T07:49:11.8570525Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:49:11.8588250Z Entering 'third_party/kineto' 2025-09-07T07:49:11.8625504Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:49:11.8643055Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:11.8680241Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:49:11.8696997Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:11.8733218Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:49:11.8751766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:11.8789934Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:49:11.8807219Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:11.8844222Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:49:11.9007944Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:11.9044296Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:49:11.9060405Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:11.9116299Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:49:11.9135052Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:11.9184908Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:49:11.9202146Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:11.9237616Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:49:11.9254832Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:11.9291051Z 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2025-09-07T07:49:12.4841380Z Entering 'third_party/FP16' 2025-09-07T07:49:12.4883217Z Entering 'third_party/FXdiv' 2025-09-07T07:49:12.4920014Z Entering 'third_party/NNPACK' 2025-09-07T07:49:12.4958983Z Entering 'third_party/NVTX' 2025-09-07T07:49:12.4996104Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:49:12.5035634Z Entering 'third_party/XNNPACK' 2025-09-07T07:49:12.5090110Z Entering 'third_party/aiter' 2025-09-07T07:49:12.5127332Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:49:12.5171143Z Entering 'third_party/benchmark' 2025-09-07T07:49:12.5207592Z Entering 'third_party/composable_kernel' 2025-09-07T07:49:12.5252598Z Entering 'third_party/cpp-httplib' 2025-09-07T07:49:12.5289052Z Entering 'third_party/cpuinfo' 2025-09-07T07:49:12.5326028Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:49:12.5363011Z Entering 'third_party/cutlass' 2025-09-07T07:49:12.5409419Z Entering 'third_party/fbgemm' 2025-09-07T07:49:12.5452307Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:49:12.5487506Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:49:12.5531309Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:49:12.5567280Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:49:12.5611261Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:49:12.5646702Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:49:12.5681125Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:49:12.5720040Z Entering 'third_party/flash-attention' 2025-09-07T07:49:12.5758233Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:49:12.5800781Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:49:12.5845964Z Entering 'third_party/flatbuffers' 2025-09-07T07:49:12.5886243Z Entering 'third_party/fmt' 2025-09-07T07:49:12.5925848Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:49:12.5963041Z Entering 'third_party/gloo' 2025-09-07T07:49:12.6000076Z Entering 'third_party/googletest' 2025-09-07T07:49:12.6037476Z Entering 'third_party/ideep' 2025-09-07T07:49:12.6072809Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:49:12.6116576Z Entering 'third_party/ittapi' 2025-09-07T07:49:12.6156268Z Entering 'third_party/kineto' 2025-09-07T07:49:12.6192171Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:12.6227085Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:12.6264056Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:12.6299455Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:12.6336104Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:12.6370964Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:12.6408188Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:12.6443484Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:12.6482103Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:12.6519051Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:12.6556186Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:12.6591406Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:12.6628777Z Entering 'third_party/kleidiai' 2025-09-07T07:49:12.6667222Z Entering 'third_party/mimalloc' 2025-09-07T07:49:12.6704503Z Entering 'third_party/nlohmann' 2025-09-07T07:49:12.6743471Z Entering 'third_party/onnx' 2025-09-07T07:49:12.6798482Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:12.6836863Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:49:12.6876301Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:12.6911118Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:12.6947066Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:12.6982076Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:12.7018920Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:12.7053831Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:12.7088461Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:12.7121774Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:49:12.7158368Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:49:12.7195816Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:12.7253457Z Entering 'third_party/pocketfft' 2025-09-07T07:49:12.7290119Z Entering 'third_party/protobuf' 2025-09-07T07:49:12.7330340Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:49:12.7365189Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:49:12.7402732Z Entering 'third_party/psimd' 2025-09-07T07:49:12.7438868Z Entering 'third_party/pthreadpool' 2025-09-07T07:49:12.7475535Z Entering 'third_party/pybind11' 2025-09-07T07:49:12.7512797Z Entering 'third_party/python-peachpy' 2025-09-07T07:49:12.7548626Z Entering 'third_party/sleef' 2025-09-07T07:49:12.7585007Z Entering 'third_party/tensorpipe' 2025-09-07T07:49:12.7621535Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:49:12.8411914Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:49:12.8447874Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:49:12.8501399Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:49:12.8548099Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:49:12.8595716Z ##[endgroup] 2025-09-07T07:49:12.8631805Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:49:12.8655297Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:12.8827219Z Prepare all required actions 2025-09-07T07:49:12.8827793Z Getting action download info 2025-09-07T07:49:13.0363207Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:49:13.0363556Z env: 2025-09-07T07:49:13.0363781Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:13.0364033Z ##[endgroup] 2025-09-07T07:49:13.0402373Z ##[group]Run set -euo pipefail 2025-09-07T07:49:13.0402749Z set -euo pipefail 2025-09-07T07:49:13.0403055Z function get_ec2_metadata() { 2025-09-07T07:49:13.0403448Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:49:13.0404101Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:49:13.0404690Z  category=$1 2025-09-07T07:49:13.0405057Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:49:13.0405529Z  runner_name_str=i-04318a58cd30ea7bb-1003 2025-09-07T07:49:13.0405923Z  if [[ -f /.inarc ]]; then 2025-09-07T07:49:13.0406276Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:49:13.0406678Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:49:13.0407164Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:49:13.0407605Z  else 2025-09-07T07:49:13.0408484Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T07:49:13.0409437Z  fi 2025-09-07T07:49:13.0409652Z } 2025-09-07T07:49:13.0409915Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:49:13.0410525Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:49:13.0411021Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:49:13.0411455Z echo "system info $(uname -a)" 2025-09-07T07:49:13.0424325Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:13.0424716Z env: 2025-09-07T07:49:13.0424925Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:13.0425189Z ##[endgroup] 2025-09-07T07:49:13.0460412Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:49:13.0465333Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:49:13.0470342Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T07:49:13.0483771Z system info Linux feeb0ac05545 6.5.0-1024-aws #24~22.04.1-Ubuntu SMP Thu Jul 18 10:43:12 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:49:13.0502215Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:49:13.0503196Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:49:13.0515178Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:13.0515574Z env: 2025-09-07T07:49:13.0515797Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:13.0516069Z ##[endgroup] 2025-09-07T07:49:13.0589115Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:49:13.0589436Z with: 2025-09-07T07:49:13.0589645Z shell: bash 2025-09-07T07:49:13.0589865Z timeout_minutes: 5 2025-09-07T07:49:13.0590122Z max_attempts: 3 2025-09-07T07:49:13.0590363Z retry_wait_seconds: 30 2025-09-07T07:49:13.0592984Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T07:49:13.0595418Z polling_interval_seconds: 1 2025-09-07T07:49:13.0595715Z warning_on_retry: true 2025-09-07T07:49:13.0595989Z continue_on_error: false 2025-09-07T07:49:13.0596243Z env: 2025-09-07T07:49:13.0596457Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:13.0596728Z AWS_RETRY_MODE: standard 2025-09-07T07:49:13.0596999Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:49:13.0597364Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:49:13.0597646Z ##[endgroup] 2025-09-07T07:49:14.6917983Z 2025-09-07T07:49:14.6918568Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T07:49:14.6919215Z Configure a credential helper to remove this warning. See 2025-09-07T07:49:14.6919708Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:49:14.6919960Z 2025-09-07T07:49:14.6920057Z Login Succeeded 2025-09-07T07:49:15.1374526Z Command completed after 1 attempt(s). 2025-09-07T07:49:15.1452356Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:49:15.1453252Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:49:15.1453733Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:49:15.1466240Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:15.1466638Z env: 2025-09-07T07:49:15.1466852Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:15.1467120Z ##[endgroup] 2025-09-07T07:49:15.1546740Z ##[group]Run set +e 2025-09-07T07:49:15.1547028Z set +e 2025-09-07T07:49:15.1547264Z set -x 2025-09-07T07:49:15.1547478Z  2025-09-07T07:49:15.1547728Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:49:15.1548516Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:49:15.1549303Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:49:15.1549854Z # one is returned at random 2025-09-07T07:49:15.1550265Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:49:15.1550659Z  2025-09-07T07:49:15.1550891Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:49:15.1551335Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:49:15.1551862Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:49:15.1552269Z  2025-09-07T07:49:15.1552510Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:49:15.1552904Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:49:15.1553270Z  exit 1 2025-09-07T07:49:15.1553511Z  fi 2025-09-07T07:49:15.1553728Z fi 2025-09-07T07:49:15.1553936Z  2025-09-07T07:49:15.1554180Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:49:15.1554553Z  # Clean up any old records first 2025-09-07T07:49:15.1554922Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:49:15.1555254Z fi 2025-09-07T07:49:15.1555451Z  2025-09-07T07:49:15.1555763Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:49:15.1556173Z cat /etc/hosts 2025-09-07T07:49:15.1567852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:15.1568243Z env: 2025-09-07T07:49:15.1568466Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:15.1568730Z ##[endgroup] 2025-09-07T07:49:15.1595781Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:49:15.1601057Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:49:15.1602192Z ++ tail -n1 2025-09-07T07:49:15.1875429Z + RESOLVED_IP=3.170.131.12 2025-09-07T07:49:15.1875762Z + '[' -z 3.170.131.12 ']' 2025-09-07T07:49:15.1876056Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:49:15.1888310Z + echo '3.170.131.12 download.pytorch.org' 2025-09-07T07:49:15.1889463Z + sudo tee -a /etc/hosts 2025-09-07T07:49:15.1943426Z 3.170.131.12 download.pytorch.org 2025-09-07T07:49:15.1950176Z + cat /etc/hosts 2025-09-07T07:49:15.1957597Z 127.0.0.1 localhost 2025-09-07T07:49:15.1961754Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T07:49:15.1962124Z fe00:: ip6-localnet 2025-09-07T07:49:15.1962378Z ff00:: ip6-mcastprefix 2025-09-07T07:49:15.1962634Z ff02::1 ip6-allnodes 2025-09-07T07:49:15.1962869Z ff02::2 ip6-allrouters 2025-09-07T07:49:15.1963118Z 172.17.0.2 feeb0ac05545 2025-09-07T07:49:15.1963385Z 3.170.131.12 download.pytorch.org 2025-09-07T07:49:15.1983316Z ##[group]Run set +x 2025-09-07T07:49:15.1983607Z set +x 2025-09-07T07:49:15.1983837Z  2025-09-07T07:49:15.1984063Z max_attempts=30 2025-09-07T07:49:15.1984336Z delay=10 2025-09-07T07:49:15.1984577Z attempt=1 2025-09-07T07:49:15.1984815Z  2025-09-07T07:49:15.1985067Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T07:49:15.1985621Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T07:49:15.1986155Z  if docker info > /dev/null 2>&1; then 2025-09-07T07:49:15.1986598Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T07:49:15.1987004Z  exit 0 2025-09-07T07:49:15.1987232Z  else 2025-09-07T07:49:15.1987493Z  echo "Docker is not running yet." 2025-09-07T07:49:15.1987862Z  echo "Retrying in $delay seconds..." 2025-09-07T07:49:15.1988204Z  sleep $delay 2025-09-07T07:49:15.1988451Z  fi 2025-09-07T07:49:15.1988669Z done 2025-09-07T07:49:15.1989022Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T07:49:15.1989631Z exit 1 2025-09-07T07:49:15.2001436Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:15.2001819Z env: 2025-09-07T07:49:15.2002044Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:15.2002314Z ##[endgroup] 2025-09-07T07:49:15.2038998Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T07:49:15.2423080Z Docker is running. Proceeding with the next steps 2025-09-07T07:49:15.2588823Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:49:15.2589310Z with: 2025-09-07T07:49:15.2590263Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:15.2591328Z use-custom-docker-registry: true 2025-09-07T07:49:15.2591635Z docker-build-dir: .ci/docker 2025-09-07T07:49:15.2591939Z docker-build-script: ./build.sh 2025-09-07T07:49:15.2592254Z working-directory: . 2025-09-07T07:49:15.2592612Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:15.2593009Z force-push: false 2025-09-07T07:49:15.2593242Z env: 2025-09-07T07:49:15.2593455Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:15.2593718Z ##[endgroup] 2025-09-07T07:49:15.2611620Z ##[group]Run set -ex 2025-09-07T07:49:15.2611941Z set -ex 2025-09-07T07:49:15.2612169Z  2025-09-07T07:49:15.2612612Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:49:15.2613542Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:49:15.2614121Z # job could then download the pre-built image as usual 2025-09-07T07:49:15.2614833Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:49:15.2615509Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2615861Z else 2025-09-07T07:49:15.2616132Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2616580Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2617001Z  2025-09-07T07:49:15.2617578Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:49:15.2618237Z  exit 0 2025-09-07T07:49:15.2618451Z fi 2025-09-07T07:49:15.2618661Z  2025-09-07T07:49:15.2619006Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:49:15.2619628Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:49:15.2620183Z  # use it as it is, but first let's extract the tag 2025-09-07T07:49:15.2620664Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:49:15.2621198Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2621700Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2622117Z else 2025-09-07T07:49:15.2622388Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:49:15.2622771Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:49:15.2623183Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:49:15.2623532Z  fi 2025-09-07T07:49:15.2623999Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:49:15.2624623Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2625285Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2626017Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2626658Z fi 2025-09-07T07:49:15.2639098Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:15.2639498Z env: 2025-09-07T07:49:15.2639710Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:15.2639987Z REPO_NAME: pytorch 2025-09-07T07:49:15.2641173Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:15.2642225Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:49:15.2642512Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:49:15.2642905Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:15.2643324Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:49:15.2643629Z CUSTOM_TAG_PREFIX: 2025-09-07T07:49:15.2643868Z ##[endgroup] 2025-09-07T07:49:15.2673052Z + [[ -d .ci/docker ]] 2025-09-07T07:49:15.2673344Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:49:15.2673633Z + [[ true == \t\r\u\e ]] 2025-09-07T07:49:15.2673893Z + echo skip=false 2025-09-07T07:49:15.2675138Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T07:49:15.2680997Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:15.2682015Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:49:15.2692430Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:15.2693886Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:15.2695393Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:15.2718408Z ##[group]Run set +e 2025-09-07T07:49:15.2718750Z set +e 2025-09-07T07:49:15.2718993Z set -x 2025-09-07T07:49:15.2719229Z  2025-09-07T07:49:15.2719437Z login() { 2025-09-07T07:49:15.2719953Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:49:15.2720497Z } 2025-09-07T07:49:15.2720717Z  2025-09-07T07:49:15.2720916Z retry () { 2025-09-07T07:49:15.2721195Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:49:15.2721520Z } 2025-09-07T07:49:15.2721736Z  2025-09-07T07:49:15.2721965Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:49:15.2722288Z  2025-09-07T07:49:15.2722513Z START_TIME=$(date +%s) 2025-09-07T07:49:15.2722830Z # Wait up to 120 minutes 2025-09-07T07:49:15.2723188Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:49:15.2723701Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:49:15.2724223Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:49:15.2724604Z  exit 0 2025-09-07T07:49:15.2724843Z  fi 2025-09-07T07:49:15.2725056Z  2025-09-07T07:49:15.2725452Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:49:15.2726147Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:49:15.2726840Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:49:15.2727373Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:49:15.2727788Z  # It's a Docker build job, let's build the image 2025-09-07T07:49:15.2728330Z  break 2025-09-07T07:49:15.2728570Z  else 2025-09-07T07:49:15.2728924Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:49:15.2729347Z  sleep 300 2025-09-07T07:49:15.2729606Z  fi 2025-09-07T07:49:15.2729833Z done 2025-09-07T07:49:15.2730052Z  2025-09-07T07:49:15.2730542Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:49:15.2731141Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:49:15.2731682Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:49:15.2732155Z  # if we're on the base branch then use the parent commit 2025-09-07T07:49:15.2732579Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:49:15.2733043Z else 2025-09-07T07:49:15.2733384Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:49:15.2733894Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:49:15.2734276Z fi 2025-09-07T07:49:15.2734484Z  2025-09-07T07:49:15.2734725Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:49:15.2735098Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2735444Z  2025-09-07T07:49:15.2735919Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:49:15.2736496Z  exit 0 2025-09-07T07:49:15.2736726Z fi 2025-09-07T07:49:15.2736942Z  2025-09-07T07:49:15.2737242Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:49:15.2737956Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:49:15.2738569Z  exit 1 2025-09-07T07:49:15.2738801Z fi 2025-09-07T07:49:15.2739018Z  2025-09-07T07:49:15.2739378Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:49:15.2740065Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:49:15.2740680Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:49:15.2741396Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:49:15.2742200Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:49:15.2742667Z fi 2025-09-07T07:49:15.2742882Z  2025-09-07T07:49:15.2743146Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:49:15.2754707Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:15.2755099Z env: 2025-09-07T07:49:15.2755309Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:15.2755604Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:49:15.2755955Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:15.2757126Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:15.2758592Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:15.2759416Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:15.2759824Z DOCKER_PUSH: 2025-09-07T07:49:15.2760057Z ##[endgroup] 2025-09-07T07:49:15.2788084Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:15.2788539Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:15.2790879Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:49:15.2792227Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:16.1050661Z 2025-09-07T07:49:16.1051304Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T07:49:16.1051948Z Configure a credential helper to remove this warning. See 2025-09-07T07:49:16.1052405Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:49:16.1052894Z 2025-09-07T07:49:16.1053005Z Login Succeeded 2025-09-07T07:49:16.1070265Z ++ date +%s 2025-09-07T07:49:16.1078568Z + START_TIME=1757231356 2025-09-07T07:49:16.1081722Z ++ date +%s 2025-09-07T07:49:16.1089129Z + [[ 1757224156 -lt 1757231356 ]] 2025-09-07T07:49:16.1090228Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:16.4807549Z { 2025-09-07T07:49:16.4807816Z "schemaVersion": 2, 2025-09-07T07:49:16.4808263Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:49:16.4808744Z "config": { 2025-09-07T07:49:16.4809084Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:49:16.4809487Z "size": 31375, 2025-09-07T07:49:16.4809907Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T07:49:16.4810439Z }, 2025-09-07T07:49:16.4810639Z "layers": [ 2025-09-07T07:49:16.4810849Z { 2025-09-07T07:49:16.4811199Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4811620Z "size": 30448359, 2025-09-07T07:49:16.4812059Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:49:16.4812542Z }, 2025-09-07T07:49:16.4812860Z { 2025-09-07T07:49:16.4813178Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4813604Z "size": 1554, 2025-09-07T07:49:16.4814022Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T07:49:16.4814527Z }, 2025-09-07T07:49:16.4814719Z { 2025-09-07T07:49:16.4815050Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4815481Z "size": 313297922, 2025-09-07T07:49:16.4815920Z "digest": 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"sha256:22b39805302d877e4c1ba433ebc36520438ea29a9ba8bc059efbcd9106f3a82d" 2025-09-07T07:49:16.4930248Z }, 2025-09-07T07:49:16.4930439Z { 2025-09-07T07:49:16.4930757Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4931181Z "size": 32, 2025-09-07T07:49:16.4931606Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:49:16.4932086Z }, 2025-09-07T07:49:16.4932281Z { 2025-09-07T07:49:16.4932887Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4933322Z "size": 136, 2025-09-07T07:49:16.4933731Z "digest": "sha256:d12add675e3505e74eb9880eeef540ea0801282ca1ae01c3c221157cec91f5ae" 2025-09-07T07:49:16.4934218Z }, 2025-09-07T07:49:16.4934414Z { 2025-09-07T07:49:16.4934747Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4935159Z "size": 380, 2025-09-07T07:49:16.4935669Z "digest": "sha256:bc127046d33a7a98563698411b54ece8a167d520922879d7b69e8ca73a12d034" 2025-09-07T07:49:16.4936153Z }, 2025-09-07T07:49:16.4936349Z { 2025-09-07T07:49:16.4936669Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4937097Z "size": 32, 2025-09-07T07:49:16.4937517Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:49:16.4938006Z }, 2025-09-07T07:49:16.4938187Z { 2025-09-07T07:49:16.4938518Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4938944Z "size": 104, 2025-09-07T07:49:16.4939351Z "digest": "sha256:951e8ce838415c4257680a9d60d216f3750cbb18d243d9a21e2008cce7e589cf" 2025-09-07T07:49:16.4939815Z }, 2025-09-07T07:49:16.4940011Z { 2025-09-07T07:49:16.4940340Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4940762Z "size": 408, 2025-09-07T07:49:16.4941166Z "digest": "sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T07:49:16.4941649Z }, 2025-09-07T07:49:16.4941841Z { 2025-09-07T07:49:16.4942166Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4942573Z "size": 32, 2025-09-07T07:49:16.4942986Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:49:16.4943471Z }, 2025-09-07T07:49:16.4943661Z { 2025-09-07T07:49:16.4943976Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4944402Z "size": 109, 2025-09-07T07:49:16.4944825Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T07:49:16.4945319Z }, 2025-09-07T07:49:16.4945496Z { 2025-09-07T07:49:16.4945826Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4946248Z "size": 1897, 2025-09-07T07:49:16.4946675Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T07:49:16.4947170Z }, 2025-09-07T07:49:16.4947349Z { 2025-09-07T07:49:16.4947676Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4948101Z "size": 243440375, 2025-09-07T07:49:16.4948521Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T07:49:16.4949004Z }, 2025-09-07T07:49:16.4949196Z { 2025-09-07T07:49:16.4949526Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4949934Z "size": 106, 2025-09-07T07:49:16.4950351Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T07:49:16.4950829Z }, 2025-09-07T07:49:16.4951019Z { 2025-09-07T07:49:16.4951332Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4951754Z "size": 166, 2025-09-07T07:49:16.4952164Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T07:49:16.4952642Z }, 2025-09-07T07:49:16.4952833Z { 2025-09-07T07:49:16.4953146Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4953566Z "size": 7943, 2025-09-07T07:49:16.4953980Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T07:49:16.4954458Z }, 2025-09-07T07:49:16.4954635Z { 2025-09-07T07:49:16.4954962Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4955385Z "size": 8072, 2025-09-07T07:49:16.4955796Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T07:49:16.4956388Z }, 2025-09-07T07:49:16.4956583Z { 2025-09-07T07:49:16.4956915Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4957429Z "size": 304, 2025-09-07T07:49:16.4957830Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:49:16.4958314Z }, 2025-09-07T07:49:16.4958630Z { 2025-09-07T07:49:16.4958965Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4959375Z "size": 13362696, 2025-09-07T07:49:16.4959795Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:49:16.4960263Z }, 2025-09-07T07:49:16.4960460Z { 2025-09-07T07:49:16.4960779Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4961200Z "size": 108, 2025-09-07T07:49:16.4961612Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:49:16.4962105Z }, 2025-09-07T07:49:16.4962289Z { 2025-09-07T07:49:16.4962616Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4963042Z "size": 54145663, 2025-09-07T07:49:16.4963471Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:49:16.4963938Z }, 2025-09-07T07:49:16.4964131Z { 2025-09-07T07:49:16.4964459Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:49:16.4964881Z "size": 32, 2025-09-07T07:49:16.4965282Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:49:16.4965769Z } 2025-09-07T07:49:16.4965959Z ] 2025-09-07T07:49:16.4966149Z } 2025-09-07T07:49:16.4991990Z ##[group]Run set -eux 2025-09-07T07:49:16.4992263Z set -eux 2025-09-07T07:49:16.4992694Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:49:16.4993906Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T07:49:16.5007595Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:16.5007978Z env: 2025-09-07T07:49:16.5008203Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:16.5008468Z ##[endgroup] 2025-09-07T07:49:16.5041007Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:49:16.5042319Z + jq --raw-output .SecretString 2025-09-07T07:49:16.5043398Z + jq -r .docker_hub_readonly_token 2025-09-07T07:49:16.5044634Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:49:17.1057094Z 2025-09-07T07:49:17.1058819Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gh-ci-github-action-runners-runner-role/i-04318a58cd30ea7bb is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-09-07T07:49:17.1947613Z Error: Cannot perform an interactive login from a non TTY device 2025-09-07T07:49:17.1961295Z + true 2025-09-07T07:49:17.2039699Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:49:17.2040085Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:49:17.2040484Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:49:17.2053113Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:17.2053512Z env: 2025-09-07T07:49:17.2053740Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:17.2054736Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:17.2055752Z ##[endgroup] 2025-09-07T07:49:17.2100203Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:17.2170112Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:49:17.2170565Z with: 2025-09-07T07:49:17.2171495Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:17.2172616Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:17.2173640Z env: 2025-09-07T07:49:17.2173860Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:17.2174126Z ##[endgroup] 2025-09-07T07:49:17.2281824Z ##[group]Run set -x 2025-09-07T07:49:17.2282103Z set -x 2025-09-07T07:49:17.2282335Z set +e 2025-09-07T07:49:17.2282559Z  2025-09-07T07:49:17.2282759Z login() { 2025-09-07T07:49:17.2283245Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:49:17.2283796Z } 2025-09-07T07:49:17.2284002Z  2025-09-07T07:49:17.2284245Z retry () { 2025-09-07T07:49:17.2284519Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:49:17.2284829Z } 2025-09-07T07:49:17.2285039Z  2025-09-07T07:49:17.2285278Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:49:17.2285592Z  2025-09-07T07:49:17.2286081Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:49:17.2286769Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:49:17.2287152Z  2025-09-07T07:49:17.2287360Z set -e 2025-09-07T07:49:17.2287696Z # ignore output since only exit code is used for conditional 2025-09-07T07:49:17.2288198Z # only pull docker image if it's not available locally 2025-09-07T07:49:17.2288756Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:49:17.2289285Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:49:17.2289607Z fi 2025-09-07T07:49:17.2301141Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:49:17.2301530Z env: 2025-09-07T07:49:17.2301752Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:49:17.2302729Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:17.2303839Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:17.2304225Z ##[endgroup] 2025-09-07T07:49:17.2365971Z + set +e 2025-09-07T07:49:17.2366341Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:17.2366831Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:17.2369622Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:49:17.2371214Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:49:18.0624366Z 2025-09-07T07:49:18.0625008Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T07:49:18.0625649Z Configure a credential helper to remove this warning. See 2025-09-07T07:49:18.0626046Z Login Succeeded 2025-09-07T07:49:18.0626359Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:49:18.0626608Z 2025-09-07T07:49:18.0647531Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:18.0648669Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:49:18.4680942Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:49:18.4681413Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:49:18.4681802Z + set -e 2025-09-07T07:49:18.4683178Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:18.4684504Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:49:18.4795866Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:18.4797696Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:18.8688771Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:49:18.8689696Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:49:18.8690002Z 171dcef20c49: Pulling fs layer 2025-09-07T07:49:18.8690299Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:49:18.8690609Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:49:18.8690913Z d3c08322a332: Pulling fs layer 2025-09-07T07:49:18.8691203Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:49:18.8691487Z 830692b57f6e: Pulling fs layer 2025-09-07T07:49:18.8691747Z 744f9ba90a65: Waiting 2025-09-07T07:49:18.8691988Z d3c08322a332: Waiting 2025-09-07T07:49:18.8692231Z ffd43b71f3cc: Waiting 2025-09-07T07:49:18.8692487Z 5bad36d18468: Pulling fs layer 2025-09-07T07:49:18.8692878Z 830692b57f6e: Waiting 2025-09-07T07:49:18.8693134Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:49:18.8693431Z 3c868a62868e: Pulling fs layer 2025-09-07T07:49:18.8693719Z 62170a22dd57: Pulling fs layer 2025-09-07T07:49:18.8693993Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:49:18.8694271Z 5bad36d18468: Waiting 2025-09-07T07:49:18.8694514Z 0e34fdd9ac5c: Waiting 2025-09-07T07:49:18.8694751Z 9408d557a804: Pulling fs layer 2025-09-07T07:49:18.8695022Z 3c868a62868e: Waiting 2025-09-07T07:49:18.8695261Z 62170a22dd57: Waiting 2025-09-07T07:49:18.8695527Z df607cfc7c07: Pulling fs layer 2025-09-07T07:49:18.8695792Z 553c1d23b6c4: Waiting 2025-09-07T07:49:18.8696034Z 9408d557a804: Waiting 2025-09-07T07:49:18.8696283Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:49:18.8696559Z df607cfc7c07: Waiting 2025-09-07T07:49:18.8696797Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:49:18.8697081Z d895771c9fac: Pulling fs layer 2025-09-07T07:49:18.8697403Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:49:18.8697685Z 3690c9826e48: Pulling fs layer 2025-09-07T07:49:18.8697956Z 4f4fb700ef54: Waiting 2025-09-07T07:49:18.8698184Z 40a8e39faeda: Waiting 2025-09-07T07:49:18.8698447Z d895771c9fac: Waiting 2025-09-07T07:49:18.8698691Z c4ee04f39d49: Waiting 2025-09-07T07:49:18.8698927Z 57cbc5013733: Pulling fs layer 2025-09-07T07:49:18.8699201Z 3690c9826e48: Waiting 2025-09-07T07:49:18.8699450Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:49:18.8699730Z 57cbc5013733: Waiting 2025-09-07T07:49:18.8699974Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:49:18.8700257Z fe0486521517: Pulling fs layer 2025-09-07T07:49:18.8700546Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:49:18.8700828Z f5f4b06b58bb: Waiting 2025-09-07T07:49:18.8701060Z f59713ce4bf4: Waiting 2025-09-07T07:49:18.8701376Z d37c58456a6a: Pulling fs layer 2025-09-07T07:49:18.8701653Z fe0486521517: Waiting 2025-09-07T07:49:18.8701897Z 8c21cc3715a2: Waiting 2025-09-07T07:49:18.8702137Z d042f63abc13: Pulling fs layer 2025-09-07T07:49:18.8702423Z 621284a9c05a: Pulling fs layer 2025-09-07T07:49:18.8702707Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:49:18.8702996Z 381b5539e598: Pulling fs layer 2025-09-07T07:49:18.8703258Z d37c58456a6a: Waiting 2025-09-07T07:49:18.8703502Z 85f605d2dd3a: Waiting 2025-09-07T07:49:18.8703744Z d042f63abc13: Waiting 2025-09-07T07:49:18.8703990Z 621284a9c05a: Waiting 2025-09-07T07:49:18.8704224Z a487c0c80029: Pulling fs layer 2025-09-07T07:49:18.8704495Z 381b5539e598: Waiting 2025-09-07T07:49:18.8704747Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:49:18.8705027Z e261928c0043: Pulling fs layer 2025-09-07T07:49:18.8705631Z 0fea55428091: Pulling fs layer 2025-09-07T07:49:18.8706066Z b4291bccbb84: Pulling fs layer 2025-09-07T07:49:18.8706344Z a487c0c80029: Waiting 2025-09-07T07:49:18.8706579Z e261928c0043: Waiting 2025-09-07T07:49:18.8706801Z 48bcb81e2566: Waiting 2025-09-07T07:49:18.8707036Z 0fea55428091: Waiting 2025-09-07T07:49:18.8707287Z ddc91b09189a: Pulling fs layer 2025-09-07T07:49:18.8707570Z 7540c7428627: Pulling fs layer 2025-09-07T07:49:18.8707837Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:49:18.8708109Z b4291bccbb84: Waiting 2025-09-07T07:49:18.8708359Z 5687149362ae: Pulling fs layer 2025-09-07T07:49:18.8708613Z 7540c7428627: Waiting 2025-09-07T07:49:18.8708866Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:49:18.8709141Z 003c4e2598fb: Waiting 2025-09-07T07:49:18.8709378Z ddc91b09189a: Waiting 2025-09-07T07:49:18.8709601Z 5687149362ae: Waiting 2025-09-07T07:49:18.8709853Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:49:18.8710139Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:49:18.8710428Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:49:18.8710688Z 3c9055753b4c: Waiting 2025-09-07T07:49:18.8710933Z cdd2cf54eb2a: Waiting 2025-09-07T07:49:18.8711179Z d3ad4df1ba3a: Waiting 2025-09-07T07:49:18.8711435Z 6623ea814971: Pulling fs layer 2025-09-07T07:49:18.8711706Z 11696c3aa380: Pulling fs layer 2025-09-07T07:49:18.8711989Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:49:18.8712272Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:49:18.8712548Z 31cf8d0bd21c: Waiting 2025-09-07T07:49:18.8712789Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:49:18.8713073Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:49:18.8713344Z 5c5108865e5e: Waiting 2025-09-07T07:49:18.8713594Z 1e93be219e89: Pulling fs layer 2025-09-07T07:49:18.8713856Z da5a91b54cb5: Waiting 2025-09-07T07:49:18.8714092Z 6623ea814971: Waiting 2025-09-07T07:49:18.8714326Z 9e97578e9edf: Waiting 2025-09-07T07:49:18.8714564Z ef4d544e35ca: Waiting 2025-09-07T07:49:18.8714800Z 136825afebb5: Pulling fs layer 2025-09-07T07:49:18.8715081Z 22b39805302d: Pulling fs layer 2025-09-07T07:49:18.8715355Z 11696c3aa380: Waiting 2025-09-07T07:49:18.8715608Z d12add675e35: Pulling fs layer 2025-09-07T07:49:18.8715882Z bc127046d33a: Pulling fs layer 2025-09-07T07:49:18.8716152Z 1e93be219e89: Waiting 2025-09-07T07:49:18.8716390Z 136825afebb5: Waiting 2025-09-07T07:49:18.8716626Z 22b39805302d: Waiting 2025-09-07T07:49:18.8716857Z 951e8ce83841: Pulling fs layer 2025-09-07T07:49:18.8717220Z d12add675e35: Waiting 2025-09-07T07:49:18.8717462Z bc127046d33a: Waiting 2025-09-07T07:49:18.8717709Z 32340b97ae50: Pulling fs layer 2025-09-07T07:49:18.8717970Z 951e8ce83841: Waiting 2025-09-07T07:49:18.8718220Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:49:18.8718509Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:49:18.8718784Z 32340b97ae50: Waiting 2025-09-07T07:49:18.8719021Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:49:18.8719306Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:49:18.8719579Z d8c4b845cfc7: Waiting 2025-09-07T07:49:18.8719827Z 5bbb04cd6b57: Waiting 2025-09-07T07:49:18.8720062Z b35c180f4d8d: Waiting 2025-09-07T07:49:18.8720314Z 04770904f012: Pulling fs layer 2025-09-07T07:49:18.8720599Z 73373941fb32: Pulling fs layer 2025-09-07T07:49:18.8720887Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:49:18.8721146Z 5f967b3c303a: Waiting 2025-09-07T07:49:18.8721386Z 04770904f012: Waiting 2025-09-07T07:49:18.8721631Z 64a544aba233: Pulling fs layer 2025-09-07T07:49:18.8721891Z 9572e6cd907b: Waiting 2025-09-07T07:49:18.8722139Z 7e35418a2499: Pulling fs layer 2025-09-07T07:49:18.8722421Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:49:18.8722692Z 64a544aba233: Waiting 2025-09-07T07:49:18.8722916Z 73373941fb32: Waiting 2025-09-07T07:49:18.8723168Z c988fbcccd70: Pulling fs layer 2025-09-07T07:49:18.8723444Z 2ed8e82748d4: Waiting 2025-09-07T07:49:18.8723684Z c988fbcccd70: Waiting 2025-09-07T07:49:18.8723910Z 7e35418a2499: Waiting 2025-09-07T07:49:19.0098098Z 171dcef20c49: Verifying Checksum 2025-09-07T07:49:19.0098443Z 171dcef20c49: Download complete 2025-09-07T07:49:19.1499051Z 744f9ba90a65: Verifying Checksum 2025-09-07T07:49:19.1499687Z 744f9ba90a65: Download complete 2025-09-07T07:49:19.2949899Z d3c08322a332: Verifying Checksum 2025-09-07T07:49:19.2950314Z d3c08322a332: Download complete 2025-09-07T07:49:19.3225943Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:49:19.3226264Z e6fdc8487bfe: Download complete 2025-09-07T07:49:19.4618551Z ffd43b71f3cc: Download complete 2025-09-07T07:49:19.4752057Z 830692b57f6e: Verifying Checksum 2025-09-07T07:49:19.4752430Z 830692b57f6e: Download complete 2025-09-07T07:49:19.6110818Z 5bad36d18468: Download complete 2025-09-07T07:49:19.7564978Z 3c868a62868e: Verifying Checksum 2025-09-07T07:49:19.7565362Z 3c868a62868e: Download complete 2025-09-07T07:49:19.8924239Z 62170a22dd57: Verifying Checksum 2025-09-07T07:49:19.8924604Z 62170a22dd57: Download complete 2025-09-07T07:49:20.0443871Z e6fdc8487bfe: Pull complete 2025-09-07T07:49:20.0910730Z 171dcef20c49: Pull complete 2025-09-07T07:49:20.0946746Z 553c1d23b6c4: Verifying Checksum 2025-09-07T07:49:20.0947207Z 553c1d23b6c4: Download complete 2025-09-07T07:49:20.2452419Z 9408d557a804: Download complete 2025-09-07T07:49:20.7175611Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T07:49:20.7175966Z 0e34fdd9ac5c: Download complete 2025-09-07T07:49:20.7688328Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:49:20.7688701Z 4f4fb700ef54: Download complete 2025-09-07T07:49:20.9148043Z 40a8e39faeda: Verifying Checksum 2025-09-07T07:49:20.9148425Z 40a8e39faeda: Download complete 2025-09-07T07:49:21.5786253Z d895771c9fac: Verifying Checksum 2025-09-07T07:49:21.7326455Z d895771c9fac: Download complete 2025-09-07T07:49:21.7326837Z c4ee04f39d49: Verifying Checksum 2025-09-07T07:49:21.7327130Z c4ee04f39d49: Download complete 2025-09-07T07:49:21.9899353Z 3690c9826e48: Verifying Checksum 2025-09-07T07:49:21.9899732Z 3690c9826e48: Download complete 2025-09-07T07:49:22.1421154Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T07:49:22.1421499Z 4c92b3f72f1d: Download complete 2025-09-07T07:49:22.1953609Z 57cbc5013733: Verifying Checksum 2025-09-07T07:49:22.1954026Z 57cbc5013733: Download complete 2025-09-07T07:49:22.2960793Z f5f4b06b58bb: Verifying Checksum 2025-09-07T07:49:22.2961204Z f5f4b06b58bb: Download complete 2025-09-07T07:49:22.3563773Z f59713ce4bf4: Verifying Checksum 2025-09-07T07:49:22.3564139Z f59713ce4bf4: Download complete 2025-09-07T07:49:22.4371169Z fe0486521517: Verifying Checksum 2025-09-07T07:49:22.4371538Z fe0486521517: Download complete 2025-09-07T07:49:22.5964613Z d37c58456a6a: Verifying Checksum 2025-09-07T07:49:23.1041091Z d37c58456a6a: Download complete 2025-09-07T07:49:23.1041480Z d042f63abc13: Verifying Checksum 2025-09-07T07:49:23.1041797Z d042f63abc13: Download complete 2025-09-07T07:49:23.2594560Z 621284a9c05a: Verifying Checksum 2025-09-07T07:49:23.2594949Z 621284a9c05a: Download complete 2025-09-07T07:49:23.4017773Z 85f605d2dd3a: Verifying Checksum 2025-09-07T07:49:23.4018159Z 85f605d2dd3a: Download complete 2025-09-07T07:49:28.0998852Z 381b5539e598: Verifying Checksum 2025-09-07T07:49:28.0999248Z 381b5539e598: Download complete 2025-09-07T07:49:28.2765822Z a487c0c80029: Verifying Checksum 2025-09-07T07:49:28.2766224Z a487c0c80029: Download complete 2025-09-07T07:49:28.4339219Z 48bcb81e2566: Verifying Checksum 2025-09-07T07:49:28.4339608Z 48bcb81e2566: Download complete 2025-09-07T07:49:28.5979386Z e261928c0043: Download complete 2025-09-07T07:49:28.6595085Z 4c92b3f72f1d: Pull complete 2025-09-07T07:49:28.7003034Z 744f9ba90a65: Pull complete 2025-09-07T07:49:28.7443730Z d3c08322a332: Pull complete 2025-09-07T07:49:28.7590062Z 0fea55428091: Verifying Checksum 2025-09-07T07:49:28.7590430Z 0fea55428091: Download complete 2025-09-07T07:49:28.7852160Z ffd43b71f3cc: Pull complete 2025-09-07T07:49:28.8553969Z 830692b57f6e: Pull complete 2025-09-07T07:49:28.8961940Z 5bad36d18468: Pull complete 2025-09-07T07:49:29.1131547Z b4291bccbb84: Verifying Checksum 2025-09-07T07:49:29.1131936Z b4291bccbb84: Download complete 2025-09-07T07:49:29.2611291Z ddc91b09189a: Verifying Checksum 2025-09-07T07:49:29.2611672Z ddc91b09189a: Download complete 2025-09-07T07:49:29.4156741Z 7540c7428627: Download complete 2025-09-07T07:49:29.5728298Z 003c4e2598fb: Verifying Checksum 2025-09-07T07:49:29.5728717Z 003c4e2598fb: Download complete 2025-09-07T07:49:29.7241469Z 5687149362ae: Download complete 2025-09-07T07:49:30.1551327Z cdd2cf54eb2a: Verifying Checksum 2025-09-07T07:49:30.1551698Z cdd2cf54eb2a: Download complete 2025-09-07T07:49:31.5436098Z 0e34fdd9ac5c: Pull complete 2025-09-07T07:49:32.4269515Z 3c868a62868e: Pull complete 2025-09-07T07:49:33.4462584Z 62170a22dd57: Pull complete 2025-09-07T07:49:34.4469849Z 553c1d23b6c4: Pull complete 2025-09-07T07:49:35.6006964Z 9408d557a804: Pull complete 2025-09-07T07:50:24.8056310Z df607cfc7c07: Verifying Checksum 2025-09-07T07:50:24.8056695Z df607cfc7c07: Download complete 2025-09-07T07:50:25.0379942Z 3c9055753b4c: Verifying Checksum 2025-09-07T07:50:25.0380304Z 3c9055753b4c: Download complete 2025-09-07T07:50:28.8382945Z 31cf8d0bd21c: Verifying Checksum 2025-09-07T07:50:28.8383339Z 31cf8d0bd21c: Download complete 2025-09-07T07:50:41.2602101Z 8c21cc3715a2: Verifying Checksum 2025-09-07T07:50:41.2602532Z 8c21cc3715a2: Download complete 2025-09-07T07:50:41.4216949Z 11696c3aa380: Download complete 2025-09-07T07:50:41.5802085Z ef4d544e35ca: Verifying Checksum 2025-09-07T07:50:41.5802486Z ef4d544e35ca: Download complete 2025-09-07T07:50:42.0529557Z 5c5108865e5e: Verifying Checksum 2025-09-07T07:50:42.0535666Z 5c5108865e5e: Download complete 2025-09-07T07:50:42.2189896Z 9e97578e9edf: Download complete 2025-09-07T07:50:42.3586226Z da5a91b54cb5: Verifying Checksum 2025-09-07T07:50:42.3586602Z da5a91b54cb5: Download complete 2025-09-07T07:50:42.5156984Z 1e93be219e89: Download complete 2025-09-07T07:50:42.6654798Z 136825afebb5: Verifying Checksum 2025-09-07T07:50:42.6655188Z 136825afebb5: Download complete 2025-09-07T07:50:42.8174714Z 22b39805302d: Verifying Checksum 2025-09-07T07:50:42.8175084Z 22b39805302d: Download complete 2025-09-07T07:50:42.9822339Z d12add675e35: Verifying Checksum 2025-09-07T07:50:42.9822733Z d12add675e35: Download complete 2025-09-07T07:50:43.1372416Z bc127046d33a: Download complete 2025-09-07T07:50:43.5401498Z 951e8ce83841: Verifying Checksum 2025-09-07T07:50:43.5402023Z 951e8ce83841: Download complete 2025-09-07T07:50:43.6948435Z 32340b97ae50: Verifying Checksum 2025-09-07T07:50:43.6948821Z 32340b97ae50: Download complete 2025-09-07T07:50:43.8754617Z 5bbb04cd6b57: Verifying Checksum 2025-09-07T07:50:43.8755003Z 5bbb04cd6b57: Download complete 2025-09-07T07:50:44.0175289Z d8c4b845cfc7: Verifying Checksum 2025-09-07T07:50:44.0175681Z d8c4b845cfc7: Download complete 2025-09-07T07:50:46.5901634Z b35c180f4d8d: Verifying Checksum 2025-09-07T07:50:46.5902018Z b35c180f4d8d: Download complete 2025-09-07T07:50:46.7584357Z 5f967b3c303a: Verifying Checksum 2025-09-07T07:50:46.7584738Z 5f967b3c303a: Download complete 2025-09-07T07:50:46.9270442Z 04770904f012: Verifying Checksum 2025-09-07T07:50:46.9270824Z 04770904f012: Download complete 2025-09-07T07:50:47.0859407Z 73373941fb32: Download complete 2025-09-07T07:50:47.6302842Z 9572e6cd907b: Download complete 2025-09-07T07:50:47.7989852Z 64a544aba233: Verifying Checksum 2025-09-07T07:50:47.7990265Z 64a544aba233: Download complete 2025-09-07T07:50:48.1635146Z 7e35418a2499: Verifying Checksum 2025-09-07T07:50:48.1635545Z 7e35418a2499: Download complete 2025-09-07T07:50:48.3330055Z 2ed8e82748d4: Verifying Checksum 2025-09-07T07:50:48.3330451Z 2ed8e82748d4: Download complete 2025-09-07T07:50:49.3008094Z c988fbcccd70: Download complete 2025-09-07T07:54:25.0208452Z df607cfc7c07: Pull complete 2025-09-07T07:54:28.2743882Z 4f4fb700ef54: Pull complete 2025-09-07T07:54:30.8978878Z 40a8e39faeda: Pull complete 2025-09-07T07:54:35.1551847Z d895771c9fac: Pull complete 2025-09-07T07:54:37.2860589Z c4ee04f39d49: Pull complete 2025-09-07T07:54:40.5787636Z 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sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T08:36:10.0012877Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:36:10.2214937Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:36:10.2897055Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:36:10.2898063Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:36:10.2910986Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:36:10.2911382Z env: 2025-09-07T08:36:10.2911595Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:36:10.2911864Z ##[endgroup] 2025-09-07T08:36:10.4307152Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:36:10.4307876Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:36:10.4319672Z shell: /usr/bin/bash -e {0} 2025-09-07T08:36:10.4319964Z env: 2025-09-07T08:36:10.4320395Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:36:10.4320669Z ##[endgroup] 2025-09-07T08:36:10.5048369Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:36:10.5049271Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:36:10.5061100Z shell: /usr/bin/bash -e {0} 2025-09-07T08:36:10.5061394Z env: 2025-09-07T08:36:10.5061619Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:36:10.5061965Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:36:10.5062327Z ##[endgroup] 2025-09-07T08:36:10.5670440Z Prepare all required actions 2025-09-07T08:36:10.6514657Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:36:10.6515004Z with: 2025-09-07T08:36:10.6515447Z github-token: *** 2025-09-07T08:36:10.6515687Z env: 2025-09-07T08:36:10.6515912Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:36:10.6516241Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:36:10.6516731Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:36:10.6517127Z ##[endgroup] 2025-09-07T08:36:10.6709983Z ##[group]Run set -eux 2025-09-07T08:36:10.6710271Z set -eux 2025-09-07T08:36:10.6710730Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:36:10.6722512Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:36:10.6722913Z env: 2025-09-07T08:36:10.6723145Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:36:10.6723490Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:36:10.6724002Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:36:10.6724597Z GITHUB_TOKEN: *** 2025-09-07T08:36:10.6724848Z ##[endgroup] 2025-09-07T08:36:10.7268452Z + python3 .github/scripts/get_workflow_job_id.py 17525309334 i-04318a58cd30ea7bb-1003 2025-09-07T08:36:11.6527558Z Setting output job-id=49775768436 2025-09-07T08:36:11.6528160Z Setting output job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T08:36:11.8095668Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:36:11.8096447Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:36:11.8097449Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:36:11.8098324Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:36:11.8111099Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:36:11.8111501Z env: 2025-09-07T08:36:11.8111731Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:36:11.8112073Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:36:11.8112527Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:36:11.8112955Z JOB_ID: 49775768436 2025-09-07T08:36:11.8113422Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T08:36:11.8113947Z WORKFLOW_NAME: inductor-A100-perf-nightly 2025-09-07T08:36:11.8114275Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T08:36:11.8114559Z MONITOR_LOG_INTERVAL: 15 2025-09-07T08:36:11.8114840Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T08:36:11.8115133Z ##[endgroup] 2025-09-07T08:36:12.1696711Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:36:12.7555897Z Collecting psutil==5.9.8 2025-09-07T08:36:13.1362097Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-09-07T08:36:13.4713696Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 951.7 kB/s eta 0:00:00 2025-09-07T08:36:13.7796680Z Collecting dataclasses_json==0.6.7 2025-09-07T08:36:13.7913189Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:36:14.5786100Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:36:14.5902104Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:36:15.5533478Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:36:15.8010758Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:36:16.0741644Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 150.0 kB/s eta 0:00:00 2025-09-07T08:36:16.3829749Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:36:16.3949531Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:36:16.9991799Z Collecting packaging>=17.0 2025-09-07T08:36:17.0109668Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:36:17.2928431Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 201.0 kB/s eta 0:00:00 2025-09-07T08:36:17.5814853Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:36:17.5930095Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:36:18.1835483Z Collecting typing-extensions>=3.7.4 2025-09-07T08:36:18.1950620Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:36:18.4655341Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 128.0 kB/s eta 0:00:00 2025-09-07T08:36:18.5354556Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T08:36:22.8060697Z Successfully installed dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T08:36:22.8871276Z Prepare all required actions 2025-09-07T08:36:22.8871707Z Getting action download info 2025-09-07T08:36:23.0765538Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:36:26.4735233Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:36:35.6159381Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:36:35.6159770Z with: 2025-09-07T08:36:35.6160029Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:36:35.6160370Z s3-bucket: gha-artifacts 2025-09-07T08:36:35.6160640Z env: 2025-09-07T08:36:35.6160850Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:36:35.6161195Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:36:35.6161651Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:36:35.6162048Z ##[endgroup] 2025-09-07T08:36:35.6702129Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:36:35.6702589Z with: 2025-09-07T08:36:35.6702960Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:36:35.6703412Z s3-bucket: gha-artifacts 2025-09-07T08:36:35.6703786Z region: us-east-1 2025-09-07T08:36:35.6704176Z env: 2025-09-07T08:36:35.6704457Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:36:35.6704879Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:36:35.6705551Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:36:35.6706062Z ##[endgroup] 2025-09-07T08:36:36.1288950Z (node:8146) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:36:36.1289488Z 2025-09-07T08:36:36.1289683Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:36:36.1290245Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:36:36.1290826Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:36:36.2604566Z Found 1 objects with prefix pytorch/pytorch/17525309334/linux-jammy-cuda12.8-py3.10-gcc9-sm80/ 2025-09-07T08:36:36.2605284Z Starting download (1/1): /home/charlie/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:36:44.7829234Z Finished download (1/1): /home/charlie/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:36:44.7837512Z Artifact download has finished successfully 2025-09-07T08:36:44.8332887Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:36:44.8333501Z unzip -o artifacts.zip 2025-09-07T08:36:44.8346012Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:36:44.8346393Z env: 2025-09-07T08:36:44.8346614Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:36:44.8346957Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:36:44.8347430Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:36:44.8347826Z ##[endgroup] 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inflating: build/bin/test_dist_autograd 2025-09-07T08:37:00.4272445Z inflating: build/bin/test_cpp_rpc 2025-09-07T08:37:00.5472974Z inflating: build/bin/test_api 2025-09-07T08:37:00.5475233Z inflating: build/bin/parallel_benchmark 2025-09-07T08:37:00.5542568Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T08:37:00.5608127Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T08:37:00.6731465Z inflating: build/bin/test_jit 2025-09-07T08:37:00.6801874Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T08:37:00.6863181Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T08:37:00.7218582Z inflating: build/bin/test_lazy 2025-09-07T08:37:00.7222355Z inflating: build/bin/torch_shm_manager 2025-09-07T08:37:00.7222706Z creating: .additional_ci_files/ 2025-09-07T08:37:00.7312102Z inflating: .additional_ci_files/test-times.json 2025-09-07T08:37:00.7651809Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T08:37:00.7886043Z ##[group]Run rm artifacts.zip 2025-09-07T08:37:00.7886367Z rm artifacts.zip 2025-09-07T08:37:00.7898969Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:37:00.7899364Z env: 2025-09-07T08:37:00.7899575Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:00.7899913Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:00.7900389Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:00.7900787Z ##[endgroup] 2025-09-07T08:37:42.0381997Z ##[group]Run df -H 2025-09-07T08:37:42.0382270Z df -H 2025-09-07T08:37:42.0395268Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:37:42.0395654Z env: 2025-09-07T08:37:42.0395884Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:42.0396226Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:42.0396719Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:42.0397102Z ##[endgroup] 2025-09-07T08:37:42.0902986Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:37:42.0903375Z overlay 5.3T 450G 4.8T 9% / 2025-09-07T08:37:42.0903704Z tmpfs 68M 0 68M 0% /dev 2025-09-07T08:37:42.0904039Z shm 68M 0 68M 0% /dev/shm 2025-09-07T08:37:42.0904410Z /dev/root 5.3T 450G 4.8T 9% /home/charlie/_work 2025-09-07T08:37:42.0904908Z tmpfs 121G 111k 121G 1% /run/docker.sock 2025-09-07T08:37:42.0905333Z tmpfs 603G 13k 603G 1% /proc/driver/nvidia 2025-09-07T08:37:42.0905796Z tmpfs 241G 1.7M 241G 1% /run/.ro1585221560/nvidia-persistenced/socket 2025-09-07T08:37:42.0906249Z tmpfs 603G 0 603G 0% /proc/acpi 2025-09-07T08:37:42.0906589Z tmpfs 603G 0 603G 0% /proc/scsi 2025-09-07T08:37:42.0906944Z tmpfs 603G 0 603G 0% /sys/firmware 2025-09-07T08:37:42.0940877Z Prepare all required actions 2025-09-07T08:37:42.0941688Z Getting action download info 2025-09-07T08:37:42.3142841Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:37:42.3143207Z with: 2025-09-07T08:37:42.3143416Z env: 2025-09-07T08:37:42.3143636Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:42.3143963Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:42.3144434Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:42.3144831Z ##[endgroup] 2025-09-07T08:37:42.3679618Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:37:42.3679961Z with: 2025-09-07T08:37:42.3680181Z name: td_results 2025-09-07T08:37:42.3680430Z s3-bucket: gha-artifacts 2025-09-07T08:37:42.3680705Z region: us-east-1 2025-09-07T08:37:42.3680919Z env: 2025-09-07T08:37:42.3681133Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:42.3681471Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:42.3681978Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:42.3682373Z ##[endgroup] 2025-09-07T08:37:42.8351080Z (node:8171) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:37:42.8351594Z 2025-09-07T08:37:42.8351809Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:37:42.8352360Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:37:42.8352933Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:37:42.9823634Z Found 0 objects with prefix pytorch/pytorch/17525309334/td_results/ 2025-09-07T08:37:42.9829492Z Artifact download has finished successfully 2025-09-07T08:37:43.0435932Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:37:43.0436319Z mkdir -p .additional_ci_files 2025-09-07T08:37:43.0436764Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:37:43.0449520Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:37:43.0449903Z env: 2025-09-07T08:37:43.0450126Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:43.0450466Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:43.0450931Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:43.0451315Z ##[endgroup] 2025-09-07T08:37:43.1010409Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:37:43.1520444Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:37:43.1520817Z .github/scripts/parse_ref.py 2025-09-07T08:37:43.1532443Z shell: /usr/bin/bash -e {0} 2025-09-07T08:37:43.1532912Z env: 2025-09-07T08:37:43.1533132Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:43.1533485Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:43.1533947Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:43.1534348Z ##[endgroup] 2025-09-07T08:37:43.2209809Z Setting output branch=main 2025-09-07T08:37:43.2338142Z Prepare all required actions 2025-09-07T08:37:43.2338534Z Getting action download info 2025-09-07T08:37:43.4243931Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:37:43.4244334Z with: 2025-09-07T08:37:43.4244754Z github-token: *** 2025-09-07T08:37:43.4250723Z test-matrix: {"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]} 2025-09-07T08:37:43.4257296Z job-name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T08:37:43.4257784Z env: 2025-09-07T08:37:43.4258006Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:43.4258351Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:43.4258804Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:43.4259200Z ##[endgroup] 2025-09-07T08:37:43.4786447Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:37:43.4786777Z with: 2025-09-07T08:37:43.4786990Z shell: bash 2025-09-07T08:37:43.4787209Z timeout_minutes: 10 2025-09-07T08:37:43.4787460Z max_attempts: 5 2025-09-07T08:37:43.4787706Z retry_wait_seconds: 30 2025-09-07T08:37:43.4788531Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:37:43.4789417Z polling_interval_seconds: 1 2025-09-07T08:37:43.4789711Z warning_on_retry: true 2025-09-07T08:37:43.4789976Z continue_on_error: false 2025-09-07T08:37:43.4790232Z env: 2025-09-07T08:37:43.4790434Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:43.4790771Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:43.4791246Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:43.4791824Z GITHUB_TOKEN: *** 2025-09-07T08:37:43.4792065Z ##[endgroup] 2025-09-07T08:37:43.5558148Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:37:43.8580368Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:37:44.3987992Z Collecting requests==2.27.1 2025-09-07T08:37:44.4782140Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:37:44.8410378Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 146.8 kB/s eta 0:00:00 2025-09-07T08:37:45.3302278Z Collecting pyyaml==6.0.2 2025-09-07T08:37:45.3426251Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T08:37:45.7766896Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 1.7 MB/s eta 0:00:00 2025-09-07T08:37:45.7901882Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T08:37:45.7913726Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T08:37:45.7919352Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T08:37:46.3640580Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:37:46.3763135Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:37:46.7303781Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T08:37:47.3399615Z WARNING: The script normalizer is installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T08:37:47.3400829Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T08:37:48.9065861Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:37:49.5585496Z Command completed after 1 attempt(s). 2025-09-07T08:37:49.5691351Z ##[group]Run set -x 2025-09-07T08:37:49.5691635Z set -x 2025-09-07T08:37:49.5691867Z  2025-09-07T08:37:49.5692251Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:37:49.5692940Z # in runner workspace 2025-09-07T08:37:49.5693345Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:37:49.5706010Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:37:49.5706410Z env: 2025-09-07T08:37:49.5706623Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:49.5706992Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:49.5707477Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:49.5707874Z ##[endgroup] 2025-09-07T08:37:49.6251980Z + python3 /home/charlie/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:37:49.6402585Z Setting output branch=main 2025-09-07T08:37:49.6768500Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:37:49.6768952Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:37:49.6769302Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:37:49.6769603Z  2025-09-07T08:37:49.6769996Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:37:49.6770481Z # in runner workspace 2025-09-07T08:37:49.6770922Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:37:49.6771419Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:37:49.6771795Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:37:49.6778166Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]}" \ 2025-09-07T08:37:49.6784278Z  --selected-test-configs "" \ 2025-09-07T08:37:49.6784633Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:37:49.6785119Z  --tag "${TAG}" \ 2025-09-07T08:37:49.6785420Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:37:49.6785759Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:37:49.6786084Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:37:49.6798282Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:37:49.6798665Z env: 2025-09-07T08:37:49.6798890Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:49.6799235Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:49.6799706Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:49.6800316Z GITHUB_TOKEN: *** 2025-09-07T08:37:49.6800724Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T08:37:49.6801219Z PR_NUMBER: 2025-09-07T08:37:49.6801449Z TAG: 2025-09-07T08:37:49.6801670Z EVENT_NAME: schedule 2025-09-07T08:37:49.6801914Z SCHEDULE: 0 7 * * 0 2025-09-07T08:37:49.6802166Z HEAD_BRANCH: main 2025-09-07T08:37:49.6802424Z ##[endgroup] 2025-09-07T08:37:49.7329855Z Workflow: inductor-A100-perf-nightly 2025-09-07T08:37:49.7330376Z Job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T08:37:49.9671693Z Setting output keep-going=True 2025-09-07T08:37:49.9672046Z Setting output ci-verbose-test-logs=False 2025-09-07T08:37:49.9672414Z Setting output ci-test-showlocals=False 2025-09-07T08:37:49.9672767Z Setting output ci-no-test-timeout=False 2025-09-07T08:37:49.9673087Z Setting output ci-no-td=False 2025-09-07T08:37:49.9673400Z Setting output ci-td-distributed=False 2025-09-07T08:37:49.9673737Z Setting output is-unstable=False 2025-09-07T08:37:49.9674053Z Setting output reenabled-issues= 2025-09-07T08:37:49.9680321Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]} 2025-09-07T08:37:49.9686567Z Setting output is-test-matrix-empty=False 2025-09-07T08:37:50.0140061Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:37:50.0140443Z echo "Filtered matrix:" 2025-09-07T08:37:50.0146307Z echo "{"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]}" 2025-09-07T08:37:50.0152576Z  2025-09-07T08:37:50.0152795Z echo 2025-09-07T08:37:50.0153086Z echo "Is the current job unstable? False" 2025-09-07T08:37:50.0153439Z  2025-09-07T08:37:50.0153639Z echo 2025-09-07T08:37:50.0153901Z echo "Is keep-going label set? True" 2025-09-07T08:37:50.0154231Z  2025-09-07T08:37:50.0154442Z echo 2025-09-07T08:37:50.0154671Z echo "Reenabled issues? " 2025-09-07T08:37:50.0166691Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:37:50.0167094Z env: 2025-09-07T08:37:50.0167324Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:50.0167653Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:50.0168120Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:50.0168527Z ##[endgroup] 2025-09-07T08:37:50.0668175Z Filtered matrix: 2025-09-07T08:37:50.0675070Z {include: [{config: inductor_huggingface_perf, shard: 1, num_shards: 5, runner: linux.aws.a100}, {config: inductor_huggingface_perf, shard: 2, num_shards: 5, runner: linux.aws.a100}, {config: inductor_huggingface_perf, shard: 3, num_shards: 5, runner: linux.aws.a100}, {config: inductor_huggingface_perf, shard: 4, num_shards: 5, runner: linux.aws.a100}, {config: inductor_huggingface_perf, shard: 5, num_shards: 5, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 1, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 2, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 3, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 4, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 5, num_shards: 6, runner: linux.aws.a100}, {config: inductor_timm_perf, shard: 6, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 1, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 2, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 3, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 4, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 5, num_shards: 6, runner: linux.aws.a100}, {config: inductor_torchbench_perf, shard: 6, num_shards: 6, runner: linux.aws.a100}, {config: cachebench, shard: 1, num_shards: 2, runner: linux.aws.a100}, {config: cachebench, shard: 2, num_shards: 2, runner: linux.aws.a100}]} 2025-09-07T08:37:50.0681194Z 2025-09-07T08:37:50.0681313Z Is the current job unstable? False 2025-09-07T08:37:50.0681538Z 2025-09-07T08:37:50.0681650Z Is keep-going label set? True 2025-09-07T08:37:50.0681851Z 2025-09-07T08:37:50.0681944Z Reenabled issues? 2025-09-07T08:37:50.1188826Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:37:50.1189366Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:37:50.1201000Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:37:50.1201387Z env: 2025-09-07T08:37:50.1201610Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:50.1201954Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:50.1202425Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:50.1202816Z JOB_TIMEOUT: 1440 2025-09-07T08:37:50.1203055Z ##[endgroup] 2025-09-07T08:37:50.2278028Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:37:50.2278584Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:37:50.2279046Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:37:50.2290384Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:37:50.2290776Z env: 2025-09-07T08:37:50.2291001Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:50.2291343Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:50.2291798Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:50.2292196Z ##[endgroup] 2025-09-07T08:37:50.3366419Z ##[group]Run set -x 2025-09-07T08:37:50.3366774Z set -x 2025-09-07T08:37:50.3367004Z  2025-09-07T08:37:50.3367253Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:37:50.3367666Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:37:50.3368078Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:37:50.3368457Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:37:50.3368771Z else 2025-09-07T08:37:50.3369035Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:37:50.3369357Z fi 2025-09-07T08:37:50.3369572Z  2025-09-07T08:37:50.3369831Z # Leaving 1GB for the runner and other things 2025-09-07T08:37:50.3370435Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:37:50.3371354Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:37:50.3372093Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:37:50.3372900Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:37:50.3373338Z  2025-09-07T08:37:50.3373614Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:37:50.3373982Z  SHM_OPTS= 2025-09-07T08:37:50.3374226Z  JENKINS_USER= 2025-09-07T08:37:50.3374601Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:37:50.3375103Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:37:50.3375519Z  # when job is cancelled 2025-09-07T08:37:50.3375844Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:37:50.3376142Z else 2025-09-07T08:37:50.3376402Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:37:50.3376749Z  JENKINS_USER="--user jenkins" 2025-09-07T08:37:50.3377076Z  DOCKER_SHELL_CMD= 2025-09-07T08:37:50.3377332Z fi 2025-09-07T08:37:50.3377547Z  2025-09-07T08:37:50.3377897Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:37:50.3378449Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:37:50.3379068Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:37:50.3379807Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:37:50.3380156Z container_name=$(docker run \ 2025-09-07T08:37:50.3380478Z  ${GPU_FLAG:-} \ 2025-09-07T08:37:50.3380792Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:37:50.3381142Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:37:50.3381455Z  -e PR_NUMBER \ 2025-09-07T08:37:50.3381735Z  -e GITHUB_ACTIONS \ 2025-09-07T08:37:50.3382038Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:37:50.3382338Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:37:50.3382636Z  -e GITHUB_JOB \ 2025-09-07T08:37:50.3382917Z  -e GITHUB_RUN_ID \ 2025-09-07T08:37:50.3383211Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:37:50.3383507Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:37:50.3383809Z  -e JOB_ID \ 2025-09-07T08:37:50.3384071Z  -e JOB_NAME \ 2025-09-07T08:37:50.3384338Z  -e BASE_SHA \ 2025-09-07T08:37:50.3384594Z  -e BRANCH \ 2025-09-07T08:37:50.3384853Z  -e SHA1 \ 2025-09-07T08:37:50.3385114Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:37:50.3385421Z  -e IN_WHEEL_TEST \ 2025-09-07T08:37:50.3385696Z  -e SHARD_NUMBER \ 2025-09-07T08:37:50.3385980Z  -e TEST_CONFIG \ 2025-09-07T08:37:50.3386264Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:37:50.3386567Z  -e REENABLED_ISSUES \ 2025-09-07T08:37:50.3386867Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:37:50.3387374Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:37:50.3387690Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:37:50.3387994Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:37:50.3388270Z  -e NO_TD \ 2025-09-07T08:37:50.3388538Z  -e TD_DISTRIBUTED \ 2025-09-07T08:37:50.3388839Z  -e PR_LABELS \ 2025-09-07T08:37:50.3389147Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:37:50.3389480Z  -e SCCACHE_BUCKET \ 2025-09-07T08:37:50.3389781Z  -e SCCACHE_REGION \ 2025-09-07T08:37:50.3390067Z  -e XLA_CUDA \ 2025-09-07T08:37:50.3390366Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:37:50.3390741Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:37:50.3391110Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:37:50.3391490Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:37:50.3391841Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:37:50.3392183Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:37:50.3392524Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:37:50.3392858Z  -e DASHBOARD_TAG \ 2025-09-07T08:37:50.3393155Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:37:50.3393529Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:37:50.3393948Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:37:50.3394377Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:37:50.3394793Z  --security-opt seccomp=unconfined \ 2025-09-07T08:37:50.3395149Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:37:50.3395458Z  --ipc=host \ 2025-09-07T08:37:50.3395715Z  ${SHM_OPTS} \ 2025-09-07T08:37:50.3395980Z  --tty \ 2025-09-07T08:37:50.3396229Z  --detach \ 2025-09-07T08:37:50.3396509Z  --name="${container_name}" \ 2025-09-07T08:37:50.3396819Z  ${JENKINS_USER} \ 2025-09-07T08:37:50.3397183Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:37:50.3397713Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:37:50.3398047Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:37:50.3398326Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:37:50.3398604Z ) 2025-09-07T08:37:50.3398906Z # Propagate download.pytorch.org IP to container 2025-09-07T08:37:50.3399604Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:37:50.3400497Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:37:50.3400917Z  2025-09-07T08:37:50.3401196Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:37:50.3401802Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:37:50.3402349Z fi 2025-09-07T08:37:50.3402553Z  2025-09-07T08:37:50.3403064Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:37:50.3414883Z shell: /usr/bin/bash -e {0} 2025-09-07T08:37:50.3415176Z env: 2025-09-07T08:37:50.3415400Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:37:50.3415730Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:37:50.3416205Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:37:50.3416710Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:37:50.3417102Z PR_NUMBER: 2025-09-07T08:37:50.3417339Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:37:50.3417690Z GITHUB_WORKFLOW: inductor-A100-perf-nightly 2025-09-07T08:37:50.3418029Z GITHUB_JOB: test 2025-09-07T08:37:50.3418287Z GITHUB_RUN_ID: 17525309334 2025-09-07T08:37:50.3418568Z GITHUB_RUN_NUMBER: 5418 2025-09-07T08:37:50.3418823Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:37:50.3419082Z JOB_ID: 49775768436 2025-09-07T08:37:50.3419673Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T08:37:50.3420165Z BRANCH: main 2025-09-07T08:37:50.3420420Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:37:50.3420808Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:37:50.3421176Z TEST_CONFIG: inductor_timm_perf 2025-09-07T08:37:50.3421474Z SHARD_NUMBER: 5 2025-09-07T08:37:50.3421714Z NUM_TEST_SHARDS: 6 2025-09-07T08:37:50.3421953Z REENABLED_ISSUES: 2025-09-07T08:37:50.3422215Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:37:50.3422501Z VERBOSE_TEST_LOGS: False 2025-09-07T08:37:50.3422764Z TEST_SHOWLOCALS: False 2025-09-07T08:37:50.3423037Z NO_TEST_TIMEOUT: False 2025-09-07T08:37:50.3423299Z NO_TD: False 2025-09-07T08:37:50.3423533Z TD_DISTRIBUTED: False 2025-09-07T08:37:50.3423843Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:37:50.3424219Z SCCACHE_REGION: us-east-1 2025-09-07T08:37:50.3424489Z SHM_SIZE: 2g 2025-09-07T08:37:50.3425429Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:37:50.3426433Z XLA_CUDA: 2025-09-07T08:37:50.3426786Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:37:50.3427256Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:37:50.3427586Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:37:50.3428929Z DASHBOARD_TAG: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:37:50.3430475Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:37:50.3430896Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:37:50.3431320Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:37:50.3431763Z ARTIFACTS_FILE_SUFFIX: test-inductor_timm_perf-5-6-linux.aws.a100_49775768436 2025-09-07T08:37:50.3432234Z ##[endgroup] 2025-09-07T08:37:50.3927215Z + [[ inductor_timm_perf == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:37:50.3927616Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *onnx* ]] 2025-09-07T08:37:50.3928012Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:37:50.3930557Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:37:50.3938973Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1120.797 ' 2025-09-07T08:37:50.3939505Z + TOTAL_MEMORY_WITH_SWAP=1123 2025-09-07T08:37:50.3939879Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T08:37:50.3940282Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:37:50.3940564Z + JENKINS_USER='--user jenkins' 2025-09-07T08:37:50.3940848Z + DOCKER_SHELL_CMD= 2025-09-07T08:37:50.3947436Z +++ nproc --ignore=2 2025-09-07T08:37:50.3961173Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5229 -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=10 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=1120g --memory-swap=1123g --env-file=/tmp/github_env_17525309334 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/charlie/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:51:58.5205695Z + container_name=ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T08:51:58.5207873Z + grep download.pytorch.org /etc/hosts 2025-09-07T08:51:58.5209701Z + docker exec -i ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T08:51:58.5547256Z + echo DOCKER_CONTAINER_ID=ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T08:51:58.5548636Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T08:51:58.5551186Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:51:58.5553489Z + docker exec -t ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T08:51:58.9494734Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T08:51:59.7711917Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T08:51:59.7715964Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T08:51:59.7720701Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T08:51:59.7725476Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T08:51:59.7728750Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T08:51:59.7733625Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T08:51:59.7747023Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T08:51:59.8110328Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T08:51:59.8129540Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T08:51:59.8165818Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T08:52:00.7170958Z Installing collected packages: torch 2025-09-07T08:52:12.9165836Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T08:52:12.9166840Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T08:52:12.9167335Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T08:52:12.9167854Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T08:52:12.9168487Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T08:52:12.9169267Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T08:52:12.9170045Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T08:52:12.9170981Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T08:52:13.3919662Z + export TERM=vt100 2025-09-07T08:52:13.3919972Z + TERM=vt100 2025-09-07T08:52:13.3923263Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:52:13.3934591Z + source .ci/pytorch/common.sh 2025-09-07T08:52:13.3937863Z +++ dirname .ci/pytorch/common.sh 2025-09-07T08:52:13.3946388Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T08:52:13.3947665Z +++ declare -f -t trap_add 2025-09-07T08:52:13.3952450Z ++ set -ex -o pipefail 2025-09-07T08:52:13.3952881Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T08:52:13.3953289Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T08:52:13.3957362Z ++ dirname .ci/pytorch/test.sh 2025-09-07T08:52:13.3965679Z + source .ci/pytorch/common-build.sh 2025-09-07T08:52:13.3967290Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *win-* ]] 2025-09-07T08:52:13.3976704Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T08:52:13.3985043Z +++ cd .ci/pytorch 2025-09-07T08:52:13.3985389Z +++ pwd -P 2025-09-07T08:52:13.3987367Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T08:52:13.3987861Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-pch* ]] 2025-09-07T08:52:13.3988255Z ++ which sccache 2025-09-07T08:52:13.4001601Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T08:52:13.4001993Z ++ sccache --stop-server 2025-09-07T08:52:13.4032027Z ++ true 2025-09-07T08:52:13.4032311Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T08:52:13.4043536Z ++ trap_add sccache_epilogue EXIT 2025-09-07T08:52:13.4043929Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T08:52:13.4044232Z ++ shift 2025-09-07T08:52:13.4044464Z ++ for trap_add_name in "$@" 2025-09-07T08:52:13.4051738Z ++++ trap -p EXIT 2025-09-07T08:52:13.4055602Z +++ eval 'extract_trap_cmd ' 2025-09-07T08:52:13.4055969Z ++++ extract_trap_cmd 2025-09-07T08:52:13.4056231Z ++++ printf '%s\n' '' 2025-09-07T08:52:13.4056520Z +++ printf '%s\n' sccache_epilogue 2025-09-07T08:52:13.4057828Z ++ trap -- ' 2025-09-07T08:52:13.4058086Z sccache_epilogue' EXIT 2025-09-07T08:52:13.4058637Z ++ [[ -n 1 ]] 2025-09-07T08:52:13.4059066Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T08:52:13.4059705Z Skipping sccache server initialization, setting environment variables 2025-09-07T08:52:13.4060186Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:52:13.4060492Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:52:13.4060885Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:52:13.4061901Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:52:13.4062354Z ++ export RUST_LOG=sccache::server=error 2025-09-07T08:52:13.4062706Z ++ RUST_LOG=sccache::server=error 2025-09-07T08:52:13.4063003Z ++ sccache --zero-stats 2025-09-07T08:52:13.9633429Z Statistics zeroed. 2025-09-07T08:52:13.9637993Z ++ which ccache 2025-09-07T08:52:13.9651460Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *rocm* ]] 2025-09-07T08:52:13.9651931Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *s390x* ]] 2025-09-07T08:52:13.9652361Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T08:52:13.9655314Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T08:52:13.9666536Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T08:52:13.9666896Z + trap_add cleanup_workspace EXIT 2025-09-07T08:52:13.9667208Z + trap_add_cmd=cleanup_workspace 2025-09-07T08:52:13.9667500Z + shift 2025-09-07T08:52:13.9667735Z + for trap_add_name in "$@" 2025-09-07T08:52:13.9673178Z +++ trap -p EXIT 2025-09-07T08:52:13.9675602Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T08:52:13.9675963Z sccache_epilogue'\'' EXIT' 2025-09-07T08:52:13.9676258Z +++ extract_trap_cmd trap -- ' 2025-09-07T08:52:13.9676550Z sccache_epilogue' EXIT 2025-09-07T08:52:13.9676794Z +++ printf '%s\n' ' 2025-09-07T08:52:13.9677043Z sccache_epilogue' 2025-09-07T08:52:13.9677411Z ++ printf '%s\n' cleanup_workspace 2025-09-07T08:52:13.9678056Z + trap -- ' 2025-09-07T08:52:13.9678264Z sccache_epilogue 2025-09-07T08:52:13.9678514Z cleanup_workspace' EXIT 2025-09-07T08:52:13.9679191Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T08:52:27.0926947Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T08:52:27.0945180Z + echo 'Environment variables:' 2025-09-07T08:52:27.0945504Z Environment variables: 2025-09-07T08:52:27.0945773Z + env 2025-09-07T08:52:27.0954717Z GITHUB_WORKSPACE=/home/charlie/_work/pytorch/pytorch 2025-09-07T08:52:27.0955169Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:52:27.0955540Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:52:27.0959428Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:52:27.0959793Z HOSTNAME=ab29ba1b5bb2 2025-09-07T08:52:27.0960333Z GITHUB_PATH=/home/charlie/_work/_temp/_runner_file_commands/add_path_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.0960929Z GITHUB_ACTION=__run_2 2025-09-07T08:52:27.0961203Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:52:27.0961501Z GITHUB_RUN_NUMBER=5418 2025-09-07T08:52:27.0961776Z TEST_CONFIG=inductor_timm_perf 2025-09-07T08:52:27.0962082Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:52:27.0962441Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:52:27.0962755Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:52:27.0963168Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:52:27.0963477Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T08:52:27.0963786Z GITHUB_REF_TYPE=branch 2025-09-07T08:52:27.0964076Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.0964419Z XLA_CUDA= 2025-09-07T08:52:27.0964657Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:52:27.0965082Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:52:27.0965501Z *** 2025-09-07T08:52:27.0965715Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:52:27.0966008Z GITHUB_ACTIONS=true 2025-09-07T08:52:27.0966275Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:27.0966634Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:52:27.0967023Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.0967409Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.0968067Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T08:52:27.0968665Z UCC_HOME=/usr 2025-09-07T08:52:27.0968935Z VERBOSE_TEST_LOGS=False 2025-09-07T08:52:27.0969190Z GITHUB_REF=refs/heads/main 2025-09-07T08:52:27.0969459Z SHARD_NUMBER=5 2025-09-07T08:52:27.0969706Z GITHUB_REF_PROTECTED=true 2025-09-07T08:52:27.0969979Z HOME=/var/lib/jenkins 2025-09-07T08:52:27.0970225Z SCCACHE_SERVER_PORT=5229 2025-09-07T08:52:27.0970817Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:52:27.0971164Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:52:27.0971526Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:52:27.0971866Z USE_SYSTEM_NCCL=1 2025-09-07T08:52:27.0972105Z NUM_TEST_SHARDS=6 2025-09-07T08:52:27.0972338Z UCX_HOME=/usr 2025-09-07T08:52:27.0973057Z GITHUB_STATE=/home/charlie/_work/_temp/_runner_file_commands/save_state_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.0973821Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T08:52:27.0974569Z GITHUB_ENV=/home/charlie/_work/_temp/_runner_file_commands/set_env_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.0975283Z GITHUB_EVENT_PATH=/home/charlie/_work/_temp/_github_workflow/event.json 2025-09-07T08:52:27.0975735Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:52:27.0977053Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:52:27.0978392Z GITHUB_RUN_ID=17525309334 2025-09-07T08:52:27.0978681Z INSTALLED_OPENBLAS= 2025-09-07T08:52:27.0979259Z GITHUB_STEP_SUMMARY=/home/charlie/_work/_temp/_runner_file_commands/step_summary_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.0979905Z GITHUB_ACTOR=desertfire 2025-09-07T08:52:27.0980152Z PR_NUMBER= 2025-09-07T08:52:27.0980373Z DESIRED_CUDA=12.8.1 2025-09-07T08:52:27.0980627Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:52:27.0981079Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:52:27.0981441Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:52:27.0981807Z TERM=vt100 2025-09-07T08:52:27.0982033Z INSTALLED_VISION=yes 2025-09-07T08:52:27.0982273Z BRANCH=main 2025-09-07T08:52:27.0982512Z SCCACHE_REGION=us-east-1 2025-09-07T08:52:27.0982801Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:52:27.0983098Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:52:27.0983548Z GITHUB_ACTION_PATH=/home/charlie/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:52:27.0984096Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:52:27.0984470Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:52:27.0984830Z REENABLED_ISSUES= 2025-09-07T08:52:27.0985052Z DOCS= 2025-09-07T08:52:27.0985260Z SHLVL=1 2025-09-07T08:52:27.0985465Z MAX_JOBS=10 2025-09-07T08:52:27.0985696Z GITHUB_ACTOR_ID=3659962 2025-09-07T08:52:27.0986035Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.0986434Z GITHUB_REF_NAME=main 2025-09-07T08:52:27.0986835Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:52:27.0987280Z GITHUB_JOB=test 2025-09-07T08:52:27.0987502Z NO_TEST_TIMEOUT=False 2025-09-07T08:52:27.0987757Z TD_DISTRIBUTED=False 2025-09-07T08:52:27.0988028Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:52:27.0988339Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:52:27.0988595Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:52:27.0988869Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:52:27.0989687Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:52:27.0990524Z GITHUB_BASE_REF= 2025-09-07T08:52:27.0990747Z INSTALLED_ACL= 2025-09-07T08:52:27.0991141Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf-5-6-linux.aws.a100_49775768436 2025-09-07T08:52:27.0991602Z CI=true 2025-09-07T08:52:27.0991832Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:52:27.0992161Z RUST_LOG=sccache::server=error 2025-09-07T08:52:27.0992450Z JOB_ID=49775768436 2025-09-07T08:52:27.0992685Z GITHUB_HEAD_REF= 2025-09-07T08:52:27.0993099Z GITHUB_ACTION_REF= 2025-09-07T08:52:27.0993384Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:52:27.0993749Z TEST_SHOWLOCALS=False 2025-09-07T08:52:27.0994045Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T08:52:27.0994398Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:52:27.0994967Z GITHUB_OUTPUT=/home/charlie/_work/_temp/_runner_file_commands/set_output_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.0995727Z NO_TD=False 2025-09-07T08:52:27.0995971Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:52:27.0996291Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:52:27.0996604Z _=/usr/bin/env 2025-09-07T08:52:27.0996937Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T08:52:27.1249925Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T08:52:27.1250562Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T08:52:27.1251168Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T08:52:27.1251766Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T08:52:27.1252230Z + BUILD_DIR=build 2025-09-07T08:52:27.1252484Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T08:52:27.1252891Z + BUILD_BIN_DIR=build/bin 2025-09-07T08:52:27.1253149Z + SHARD_NUMBER=5 2025-09-07T08:52:27.1253396Z + NUM_TEST_SHARDS=6 2025-09-07T08:52:27.1253663Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:52:27.1253985Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:52:27.1254257Z + export VALGRIND=ON 2025-09-07T08:52:27.1254504Z + VALGRIND=ON 2025-09-07T08:52:27.1254809Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *clang9* ]] 2025-09-07T08:52:27.1255253Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T08:52:27.1255601Z + detect_cuda_arch 2025-09-07T08:52:27.1256069Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T08:52:27.1256445Z + command -v nvidia-smi 2025-09-07T08:52:27.1256705Z /usr/bin/nvidia-smi 2025-09-07T08:52:27.1258797Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T08:52:27.1259430Z ++ tail -n 1 2025-09-07T08:52:27.1465703Z + TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T08:52:27.1466007Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T08:52:27.1466363Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *s390x* ]] 2025-09-07T08:52:27.1466734Z + [[ 0 == \1 ]] 2025-09-07T08:52:27.1466955Z + [[ True == \1 ]] 2025-09-07T08:52:27.1467257Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *bazel* ]] 2025-09-07T08:52:27.1471002Z ++ realpath build/custom_test_artifacts 2025-09-07T08:52:27.1479994Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T08:52:27.1480517Z + [[ -n '' ]] 2025-09-07T08:52:27.1480761Z + echo 'Environment variables' 2025-09-07T08:52:27.1481051Z Environment variables 2025-09-07T08:52:27.1481282Z + env 2025-09-07T08:52:27.1487812Z GITHUB_WORKSPACE=/home/charlie/_work/pytorch/pytorch 2025-09-07T08:52:27.1488216Z CONTINUE_THROUGH_ERROR=True 2025-09-07T08:52:27.1488579Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:52:27.1489210Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T08:52:27.1489512Z HOSTNAME=ab29ba1b5bb2 2025-09-07T08:52:27.1490032Z GITHUB_PATH=/home/charlie/_work/_temp/_runner_file_commands/add_path_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.1490635Z GITHUB_ACTION=__run_2 2025-09-07T08:52:27.1490914Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T08:52:27.1491220Z GITHUB_RUN_NUMBER=5418 2025-09-07T08:52:27.1491474Z TEST_CONFIG=inductor_timm_perf 2025-09-07T08:52:27.1491780Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T08:52:27.1492111Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T08:52:27.1492436Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T08:52:27.1492954Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T08:52:27.1493269Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T08:52:27.1493576Z GITHUB_REF_TYPE=branch 2025-09-07T08:52:27.1493845Z TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T08:52:27.1494146Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.1494486Z XLA_CUDA= 2025-09-07T08:52:27.1494722Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T08:52:27.1495143Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T08:52:27.1495651Z *** 2025-09-07T08:52:27.1495872Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T08:52:27.1496161Z GITHUB_ACTIONS=true 2025-09-07T08:52:27.1496637Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:52:27.1496990Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T08:52:27.1497378Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.1497766Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.1498413Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T08:52:27.1499003Z UCC_HOME=/usr 2025-09-07T08:52:27.1499230Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T08:52:27.1499510Z VERBOSE_TEST_LOGS=False 2025-09-07T08:52:27.1499778Z GITHUB_REF=refs/heads/main 2025-09-07T08:52:27.1500044Z SHARD_NUMBER=5 2025-09-07T08:52:27.1500269Z GITHUB_REF_PROTECTED=true 2025-09-07T08:52:27.1500534Z HOME=/var/lib/jenkins 2025-09-07T08:52:27.1500787Z SCCACHE_SERVER_PORT=5229 2025-09-07T08:52:27.1501085Z GITHUB_API_URL=https://api.github.com 2025-09-07T08:52:27.1501410Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T08:52:27.1501765Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T08:52:27.1502125Z USE_SYSTEM_NCCL=1 2025-09-07T08:52:27.1502360Z NUM_TEST_SHARDS=6 2025-09-07T08:52:27.1502579Z UCX_HOME=/usr 2025-09-07T08:52:27.1503092Z GITHUB_STATE=/home/charlie/_work/_temp/_runner_file_commands/save_state_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.1503861Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T08:52:27.1504608Z GITHUB_ENV=/home/charlie/_work/_temp/_runner_file_commands/set_env_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.1505436Z GITHUB_EVENT_PATH=/home/charlie/_work/_temp/_github_workflow/event.json 2025-09-07T08:52:27.1505896Z GITHUB_EVENT_NAME=schedule 2025-09-07T08:52:27.1507238Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:52:27.1508582Z GITHUB_RUN_ID=17525309334 2025-09-07T08:52:27.1508850Z INSTALLED_OPENBLAS= 2025-09-07T08:52:27.1509432Z GITHUB_STEP_SUMMARY=/home/charlie/_work/_temp/_runner_file_commands/step_summary_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.1510061Z GITHUB_ACTOR=desertfire 2025-09-07T08:52:27.1510317Z PR_NUMBER= 2025-09-07T08:52:27.1510534Z DESIRED_CUDA=12.8.1 2025-09-07T08:52:27.1510776Z GITHUB_RUN_ATTEMPT=1 2025-09-07T08:52:27.1511012Z VALGRIND=ON 2025-09-07T08:52:27.1511246Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T08:52:27.1511590Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T08:52:27.1511955Z TERM=vt100 2025-09-07T08:52:27.1512160Z INSTALLED_VISION=yes 2025-09-07T08:52:27.1512404Z BRANCH=main 2025-09-07T08:52:27.1512631Z SCCACHE_REGION=us-east-1 2025-09-07T08:52:27.1512910Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T08:52:27.1513185Z CUDA_PATH=/usr/local/cuda 2025-09-07T08:52:27.1513639Z GITHUB_ACTION_PATH=/home/charlie/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T08:52:27.1514166Z GITHUB_SERVER_URL=https://github.com 2025-09-07T08:52:27.1514533Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T08:52:27.1514872Z REENABLED_ISSUES= 2025-09-07T08:52:27.1515098Z DOCS= 2025-09-07T08:52:27.1515296Z SHLVL=1 2025-09-07T08:52:27.1515498Z MAX_JOBS=10 2025-09-07T08:52:27.1515704Z GITHUB_ACTOR_ID=3659962 2025-09-07T08:52:27.1516050Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:52:27.1516441Z GITHUB_REF_NAME=main 2025-09-07T08:52:27.1516827Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:52:27.1517341Z GITHUB_JOB=test 2025-09-07T08:52:27.1517583Z NO_TEST_TIMEOUT=False 2025-09-07T08:52:27.1517840Z TD_DISTRIBUTED=False 2025-09-07T08:52:27.1518113Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T08:52:27.1518413Z GITHUB_RETENTION_DAYS=90 2025-09-07T08:52:27.1518683Z OPENSSL_DIR=/opt/openssl 2025-09-07T08:52:27.1518954Z GITHUB_ACTION_REPOSITORY= 2025-09-07T08:52:27.1519758Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:52:27.1520766Z GITHUB_BASE_REF= 2025-09-07T08:52:27.1521002Z INSTALLED_ACL= 2025-09-07T08:52:27.1521390Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf-5-6-linux.aws.a100_49775768436 2025-09-07T08:52:27.1521849Z CI=true 2025-09-07T08:52:27.1522066Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T08:52:27.1522400Z RUST_LOG=sccache::server=error 2025-09-07T08:52:27.1522680Z JOB_ID=49775768436 2025-09-07T08:52:27.1522913Z GITHUB_HEAD_REF= 2025-09-07T08:52:27.1523133Z GITHUB_ACTION_REF= 2025-09-07T08:52:27.1523432Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T08:52:27.1523794Z TEST_SHOWLOCALS=False 2025-09-07T08:52:27.1524086Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T08:52:27.1524421Z DEBIAN_FRONTEND=noninteractive 2025-09-07T08:52:27.1525002Z GITHUB_OUTPUT=/home/charlie/_work/_temp/_runner_file_commands/set_output_9c9bdf0e-eabc-4df0-a6ca-fe78aeada50b 2025-09-07T08:52:27.1525596Z NO_TD=False 2025-09-07T08:52:27.1525853Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T08:52:27.1526154Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T08:52:27.1526474Z _=/usr/bin/env 2025-09-07T08:52:27.1526709Z + echo 'Testing pytorch' 2025-09-07T08:52:27.1526972Z Testing pytorch 2025-09-07T08:52:27.1527204Z + export LANG=C.UTF-8 2025-09-07T08:52:27.1527450Z + LANG=C.UTF-8 2025-09-07T08:52:27.1527668Z + PR_NUMBER= 2025-09-07T08:52:27.1527914Z + [[ inductor_timm_perf == \d\e\f\a\u\l\t ]] 2025-09-07T08:52:27.1528270Z + [[ inductor_timm_perf == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T08:52:27.1528737Z + [[ inductor_timm_perf == \s\l\o\w ]] 2025-09-07T08:52:27.1529163Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *slow-gradcheck* ]] 2025-09-07T08:52:27.1529643Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T08:52:27.1530036Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:52:27.1530398Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T08:52:27.1530738Z + [[ inductor_timm_perf == *crossref* ]] 2025-09-07T08:52:27.1531131Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T08:52:27.1531547Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T08:52:27.1531985Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T08:52:27.1532372Z + pip_install ninja==1.10.2 2025-09-07T08:52:27.1532912Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T08:52:27.1533383Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T08:52:28.0844563Z Collecting ninja==1.10.2 2025-09-07T08:52:28.3502126Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T08:52:29.0010078Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T08:52:30.5594331Z Installing collected packages: ninja 2025-09-07T08:52:30.5594729Z Attempting uninstall: ninja 2025-09-07T08:52:30.5604630Z Found existing installation: ninja 1.11.1.3 2025-09-07T08:52:30.5624912Z Uninstalling ninja-1.11.1.3: 2025-09-07T08:52:31.0148754Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T08:52:31.2104267Z Successfully installed ninja-1.10.2 2025-09-07T08:52:31.2972830Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:52:31.2974542Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T08:52:31.2975575Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T08:52:31.2976035Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *asan* ]] 2025-09-07T08:52:31.2976476Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-debug* ]] 2025-09-07T08:52:31.2976930Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T08:52:31.2977547Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass' 2025-09-07T08:52:31.2978623Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass 2025-09-07T08:52:31.2979149Z + cd test 2025-09-07T08:52:31.2979515Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T08:52:31.8620944Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:31.8622456Z import pynvml # type: ignore[import] 2025-09-07T08:52:33.0192396Z + [[ inductor_timm_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T08:52:33.0192861Z + [[ inductor_timm_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T08:52:33.0193305Z + [[ inductor_timm_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T08:52:33.0196210Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T08:52:33.0197066Z + [[ inductor_timm_perf == *pr_time_benchmarks* ]] 2025-09-07T08:52:33.0197514Z + [[ inductor_timm_perf == *dynamo_eager* ]] 2025-09-07T08:52:33.0197886Z + [[ inductor_timm_perf == *aot_eager* ]] 2025-09-07T08:52:33.0198219Z + [[ inductor_timm_perf == *aot_inductor* ]] 2025-09-07T08:52:33.0198599Z + [[ inductor_timm_perf == *max_autotune_inductor* ]] 2025-09-07T08:52:33.0198981Z + [[ inductor_timm_perf == *inductor* ]] 2025-09-07T08:52:33.0199310Z + [[ inductor_timm_perf != *perf* ]] 2025-09-07T08:52:33.0200076Z + [[ inductor_timm_perf == *dynamic* ]] 2025-09-07T08:52:33.0200411Z + [[ inductor_timm_perf == *cpu* ]] 2025-09-07T08:52:33.0200754Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T08:52:33.0220168Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T08:52:33.0220629Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-bazel-* ]] 2025-09-07T08:52:33.0224058Z + cd test 2025-09-07T08:52:33.0224632Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T08:52:33.5865658Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:33.5867379Z import pynvml # type: ignore[import] 2025-09-07T08:52:35.2325331Z PyTorch built with: 2025-09-07T08:52:35.2325636Z - GCC 9.5 2025-09-07T08:52:35.2325852Z - C++ Version: 201703 2025-09-07T08:52:35.2326462Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:52:35.2327235Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:52:35.2327696Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:52:35.2328038Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T08:52:35.2328391Z - NNPACK is enabled 2025-09-07T08:52:35.2328681Z - CPU capability usage: AVX512 2025-09-07T08:52:35.2328983Z - CUDA Runtime 12.8 2025-09-07T08:52:35.2329332Z - NVCC architecture flags: -gencode;arch=compute_80,code=sm_80 2025-09-07T08:52:35.2329740Z - CuDNN 90.8 2025-09-07T08:52:35.2334914Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T08:52:35.2343472Z 2025-09-07T08:52:36.3316373Z + cd test 2025-09-07T08:52:36.3316828Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T08:52:36.8983966Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:36.8985566Z import pynvml # type: ignore[import] 2025-09-07T08:52:37.6947955Z ATen/Parallel: 2025-09-07T08:52:37.6948318Z at::get_num_threads() : 12 2025-09-07T08:52:37.6948621Z at::get_num_interop_threads() : 48 2025-09-07T08:52:37.6948942Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T08:52:37.6949244Z omp_get_max_threads() : 12 2025-09-07T08:52:37.6949831Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T08:52:37.6950443Z mkl_get_max_threads() : 12 2025-09-07T08:52:37.6950839Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T08:52:37.6951683Z std::thread::hardware_concurrency() : 96 2025-09-07T08:52:37.6952026Z Environment variables: 2025-09-07T08:52:37.6952281Z OMP_NUM_THREADS : [not set] 2025-09-07T08:52:37.6952567Z MKL_NUM_THREADS : [not set] 2025-09-07T08:52:37.6952859Z ATen parallel backend: OpenMP 2025-09-07T08:52:37.6953048Z 2025-09-07T08:52:38.0401960Z + [[ inductor_timm_perf == *numpy_2* ]] 2025-09-07T08:52:38.0402413Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T08:52:38.0402848Z + [[ inductor_timm_perf == *backward* ]] 2025-09-07T08:52:38.0403183Z + [[ inductor_timm_perf == *xla* ]] 2025-09-07T08:52:38.0403510Z + [[ inductor_timm_perf == *vllm* ]] 2025-09-07T08:52:38.0403835Z + [[ inductor_timm_perf == *executorch* ]] 2025-09-07T08:52:38.0404181Z + [[ inductor_timm_perf == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T08:52:38.0404606Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T08:52:38.0405014Z + [[ inductor_timm_perf == distributed ]] 2025-09-07T08:52:38.0405397Z + [[ inductor_timm_perf == *operator_benchmark* ]] 2025-09-07T08:52:38.0405789Z + [[ inductor_timm_perf == *inductor_distributed* ]] 2025-09-07T08:52:38.0406212Z + [[ inductor_timm_perf == *inductor-halide* ]] 2025-09-07T08:52:38.0406629Z + [[ inductor_timm_perf == *inductor-triton-cpu* ]] 2025-09-07T08:52:38.0407056Z + [[ inductor_timm_perf == *inductor-micro-benchmark* ]] 2025-09-07T08:52:38.0407451Z + [[ inductor_timm_perf == *huggingface* ]] 2025-09-07T08:52:38.0407774Z + [[ inductor_timm_perf == *timm* ]] 2025-09-07T08:52:38.0408091Z + install_torchvision 2025-09-07T08:52:38.0408347Z + local orig_preload 2025-09-07T08:52:38.0408591Z + local commit 2025-09-07T08:52:38.0408816Z ++ get_pinned_commit vision 2025-09-07T08:52:38.0409114Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T08:52:38.0419553Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:52:38.0419937Z + orig_preload= 2025-09-07T08:52:38.0420160Z + '[' -n '' ']' 2025-09-07T08:52:38.0420464Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T08:52:38.0420852Z + export FORCE_CUDA=1 2025-09-07T08:52:38.0421097Z + FORCE_CUDA=1 2025-09-07T08:52:38.0421313Z + export WITH_CUDA=1 2025-09-07T08:52:38.0421590Z + WITH_CUDA=1 2025-09-07T08:52:38.0422225Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T08:52:38.0423145Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T08:52:38.0424019Z + local wheel_dir=dist/vision 2025-09-07T08:52:38.0424304Z + local found_whl=0 2025-09-07T08:52:38.0424569Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:52:38.0425034Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T08:52:38.0425503Z + found_whl=1 2025-09-07T08:52:38.0425707Z + break 2025-09-07T08:52:38.0425905Z + '[' 1 == 0 ']' 2025-09-07T08:52:38.0426144Z + for file in "${wheel_dir}"/*.whl 2025-09-07T08:52:38.0426643Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:38.0427335Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T08:52:38.0427806Z + local args 2025-09-07T08:52:38.0428221Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T08:52:38.0428727Z + for path in "${args[@]}" 2025-09-07T08:52:38.0429203Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T08:52:38.0429925Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:38.0430733Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:38.4051964Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:52:38.4544599Z Installing collected packages: torchvision 2025-09-07T08:52:39.2090861Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T08:52:39.2537162Z + '[' -n '' ']' 2025-09-07T08:52:39.2537419Z + id=4 2025-09-07T08:52:39.2537661Z + test_dynamo_benchmark timm_models 4 2025-09-07T08:52:39.2538570Z ++ pwd 2025-09-07T08:52:39.2540703Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:39.2541122Z + local suite=timm_models 2025-09-07T08:52:39.2541407Z + shift 2025-09-07T08:52:39.2541621Z + local shard_id=4 2025-09-07T08:52:39.2541853Z + shift 2025-09-07T08:52:39.2542080Z + [[ inductor_timm_perf == *perf_compare* ]] 2025-09-07T08:52:39.2542444Z + [[ inductor_timm_perf == *perf* ]] 2025-09-07T08:52:39.2542759Z + [[ inductor_timm_perf == *b200* ]] 2025-09-07T08:52:39.2543127Z + test_single_dynamo_benchmark dashboard timm_models 4 2025-09-07T08:52:39.2545216Z ++ pwd 2025-09-07T08:52:39.2547317Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:39.2547798Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:39.2563539Z + local name=dashboard 2025-09-07T08:52:39.2563792Z + shift 2025-09-07T08:52:39.2564055Z + local suite=timm_models 2025-09-07T08:52:39.2564317Z + shift 2025-09-07T08:52:39.2564527Z + local shard_id=4 2025-09-07T08:52:39.2564758Z + shift 2025-09-07T08:52:39.2564972Z + partition_flags=() 2025-09-07T08:52:39.2565235Z + local partition_flags 2025-09-07T08:52:39.2565473Z + [[ -n 6 ]] 2025-09-07T08:52:39.2565686Z + [[ -n 4 ]] 2025-09-07T08:52:39.2566099Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T08:52:39.2566638Z + [[ inductor_timm_perf == *perf_compare* ]] 2025-09-07T08:52:39.2566969Z + [[ inductor_timm_perf == *perf* ]] 2025-09-07T08:52:39.2567489Z + test_perf_for_dashboard timm_models --device cuda --total-partitions 6 --partition-id 4 2025-09-07T08:52:39.2568008Z ++ pwd 2025-09-07T08:52:39.2569962Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:39.2570438Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T08:52:39.2582454Z + local suite=timm_models 2025-09-07T08:52:39.2582746Z + shift 2025-09-07T08:52:39.2582967Z + local backend=inductor 2025-09-07T08:52:39.2583235Z + modes=() 2025-09-07T08:52:39.2583438Z + local modes 2025-09-07T08:52:39.2584750Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *training-true* ]] 2025-09-07T08:52:39.2586154Z + modes+=(training) 2025-09-07T08:52:39.2587711Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *inference-true* ]] 2025-09-07T08:52:39.2589096Z + modes+=(inference) 2025-09-07T08:52:39.2589365Z + targets=('accuracy' 'performance') 2025-09-07T08:52:39.2589656Z + local targets 2025-09-07T08:52:39.2589890Z + local device=cuda 2025-09-07T08:52:39.2590154Z + [[ inductor_timm_perf == *cpu* ]] 2025-09-07T08:52:39.2590478Z + [[ inductor_timm_perf == *cuda_a10g* ]] 2025-09-07T08:52:39.2590792Z + [[ inductor_timm_perf == *h100* ]] 2025-09-07T08:52:39.2591098Z + [[ inductor_timm_perf == *b200* ]] 2025-09-07T08:52:39.2591404Z + [[ inductor_timm_perf == *rocm* ]] 2025-09-07T08:52:39.2591709Z + for mode in "${modes[@]}" 2025-09-07T08:52:39.2591981Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:52:39.2592294Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T08:52:39.2592589Z + dtype=amp 2025-09-07T08:52:39.2592820Z + for target in "${targets[@]}" 2025-09-07T08:52:39.2593104Z + target_flag=('--accuracy') 2025-09-07T08:52:39.2593375Z + local target_flag 2025-09-07T08:52:39.2593636Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:52:39.2593958Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:52:39.2594281Z + target_flag+=(--no-translation-validation) 2025-09-07T08:52:39.2595815Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T08:52:39.2598364Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T08:52:39.2600949Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 6 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T08:52:40.3311349Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:40.3312899Z import pynvml # type: ignore[import] 2025-09-07T08:52:45.3166688Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:52:45.3168113Z import pynvml # type: ignore[import] 2025-09-07T08:52:48.6987477Z 2025-09-07T08:52:49.0995677Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:52:49.0995952Z 2025-09-07T08:52:49.2246335Z model.safetensors: 0% 0.00/113M [00:00 will be ignored 2025-09-07T08:53:59.9214900Z pass 2025-09-07T08:54:05.0217020Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:54:05.0218431Z import pynvml # type: ignore[import] 2025-09-07T08:54:08.3036964Z 2025-09-07T08:54:08.9201195Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:54:08.9201475Z 2025-09-07T08:54:09.0269775Z model.safetensors: 0% 0.00/181M [00:00 will be ignored 2025-09-07T09:00:46.9899974Z pass 2025-09-07T09:00:51.8738064Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:00:51.8739533Z import pynvml # type: ignore[import] 2025-09-07T09:00:55.1958072Z 2025-09-07T09:00:55.8416548Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:00:55.8416816Z 2025-09-07T09:00:55.9505948Z model.safetensors: 0% 0.00/194M [00:00 will be ignored 2025-09-07T09:04:50.1745993Z pass 2025-09-07T09:04:56.6475501Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:04:56.6476934Z import pynvml # type: ignore[import] 2025-09-07T09:04:59.9204457Z 2025-09-07T09:05:00.1954720Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:05:00.1954990Z 2025-09-07T09:05:00.3052258Z model.safetensors: 0% 0.00/55.0M [00:00 will be ignored 2025-09-07T09:07:01.2908898Z pass 2025-09-07T09:07:06.0818644Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:07:06.0820094Z import pynvml # type: ignore[import] 2025-09-07T09:07:09.4004837Z 2025-09-07T09:07:09.5519514Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:07:09.5519797Z 2025-09-07T09:07:09.6513347Z model.safetensors: 0% 0.00/17.9M [00:00 will be ignored 2025-09-07T09:08:30.2620174Z pass 2025-09-07T09:08:35.0845328Z accuracy pass_rate=100.00% 2025-09-07T09:08:35.0851021Z calls_captured gmean=868.31x mean=931.200x 2025-09-07T09:08:35.0856169Z unique_graphs gmean=2.55x mean=2.600x 2025-09-07T09:08:35.0860420Z graph_breaks gmean=6.48x mean=6.500x 2025-09-07T09:08:35.0864680Z unique_graph_breaks gmean=5.00x mean=5.000x 2025-09-07T09:08:35.0869021Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:08:35.0873355Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:08:35.0877806Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:08:35.0879312Z compilation_latency mean=82.545 seconds 2025-09-07T09:08:36.2152666Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs-true* ]] 2025-09-07T09:08:36.2155248Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 6 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:08:37.2981946Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:08:37.2983697Z import pynvml # type: ignore[import] 2025-09-07T09:08:42.1621899Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:08:42.1623326Z import pynvml # type: ignore[import] 2025-09-07T09:08:45.5162721Z 2025-09-07T09:08:46.8906125Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:08:46.8906505Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:08:46.8906830Z cuda train repvgg_a2 2025-09-07T09:09:28.1992340Z W0907 09:09:28.198000 28348 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:09:56.4493649Z pass 2025-09-07T09:10:01.7631815Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:10:01.7633690Z import pynvml # type: ignore[import] 2025-09-07T09:10:05.0632155Z 2025-09-07T09:10:06.9674647Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:10:06.9675031Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:10:06.9675357Z cuda train res2net101_26w_4s 2025-09-07T09:12:20.0763747Z pass 2025-09-07T09:12:26.5333780Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:12:26.5335263Z import pynvml # type: ignore[import] 2025-09-07T09:12:29.9233316Z 2025-09-07T09:12:31.4779756Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:12:31.4780162Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:12:31.4780491Z cuda train res2net50_14w_8s 2025-09-07T09:14:30.9153237Z pass 2025-09-07T09:14:39.1532432Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:14:39.1534091Z import pynvml # type: ignore[import] 2025-09-07T09:14:42.5025854Z 2025-09-07T09:14:43.8466136Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:14:43.8466515Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:14:43.8466865Z cuda train res2next50 2025-09-07T09:15:51.1801838Z pass 2025-09-07T09:15:56.9751391Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:15:56.9752825Z import pynvml # type: ignore[import] 2025-09-07T09:16:00.2880662Z 2025-09-07T09:16:01.2742244Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:16:01.2742630Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:16:01.2742957Z cuda train resmlp_12_224 2025-09-07T09:16:20.9513945Z W0907 09:16:20.950000 28904 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:16:46.3716777Z pass 2025-09-07T09:16:51.3224453Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:16:51.3226396Z import pynvml # type: ignore[import] 2025-09-07T09:16:54.7141185Z 2025-09-07T09:16:56.8615649Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:16:56.8616016Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:16:56.8616347Z cuda train resnest101e 2025-09-07T09:18:52.4663379Z pass 2025-09-07T09:18:59.5383088Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:59.5384508Z import pynvml # type: ignore[import] 2025-09-07T09:19:02.8115530Z 2025-09-07T09:19:04.2229057Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:04.2229433Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:19:04.2229757Z cuda train rexnet_100 2025-09-07T09:20:07.6550095Z W0907 09:20:07.654000 29183 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:20:48.7845259Z pass 2025-09-07T09:20:55.3211386Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:20:55.3213258Z import pynvml # type: ignore[import] 2025-09-07T09:20:58.7208593Z 2025-09-07T09:21:00.0747511Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:21:00.0747982Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:21:00.0748364Z cuda train sebotnet33ts_256 2025-09-07T09:21:56.6713532Z pass 2025-09-07T09:22:01.6747668Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:01.6749187Z import pynvml # type: ignore[import] 2025-09-07T09:22:05.0592696Z 2025-09-07T09:22:06.4681424Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:06.4681884Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:22:06.4682308Z cuda train selecsls42b 2025-09-07T09:22:36.6862136Z W0907 09:22:36.685000 29462 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:22:57.6760821Z pass 2025-09-07T09:23:02.7169713Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:02.7171295Z import pynvml # type: ignore[import] 2025-09-07T09:23:06.0488427Z 2025-09-07T09:23:07.2206073Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:07.2206545Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:23:07.2206959Z cuda train spnasnet_100 2025-09-07T09:23:54.1779942Z W0907 09:23:54.177000 29601 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:24:27.6305822Z pass 2025-09-07T09:24:32.5964292Z accuracy pass_rate=100.00% 2025-09-07T09:24:32.5970110Z calls_captured gmean=868.31x mean=931.200x 2025-09-07T09:24:32.5975305Z unique_graphs gmean=2.55x mean=2.600x 2025-09-07T09:24:32.5979964Z graph_breaks gmean=6.48x mean=6.500x 2025-09-07T09:24:32.5986704Z unique_graph_breaks gmean=5.00x mean=5.000x 2025-09-07T09:24:32.5989416Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:24:32.5993930Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:24:32.5998577Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:24:32.6000050Z compilation_latency mean=81.939 seconds 2025-09-07T09:24:33.7726182Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *dynamic-true* ]] 2025-09-07T09:24:33.7728955Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 6 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:24:34.8255801Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:34.8257329Z import pynvml # type: ignore[import] 2025-09-07T09:24:39.7311249Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:39.7312794Z import pynvml # type: ignore[import] 2025-09-07T09:24:43.0488519Z 2025-09-07T09:24:44.4003089Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:44.4003555Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:24:44.4003930Z cuda train repvgg_a2 2025-09-07T09:25:01.2428727Z W0907 09:25:01.242000 29767 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:25:08.1790400Z pass 2025-09-07T09:25:11.9186195Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:25:11.9187716Z import pynvml # type: ignore[import] 2025-09-07T09:25:15.2379543Z 2025-09-07T09:25:17.0443302Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:17.0443785Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:25:17.0444206Z cuda train res2net101_26w_4s 2025-09-07T09:25:41.9052527Z pass 2025-09-07T09:25:45.7417811Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:25:45.7419356Z import pynvml # type: ignore[import] 2025-09-07T09:25:49.0527419Z 2025-09-07T09:25:50.5762713Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:50.5763174Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:25:50.5763550Z cuda train res2net50_14w_8s 2025-09-07T09:26:12.3946735Z pass 2025-09-07T09:26:16.2124215Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:16.2125742Z import pynvml # type: ignore[import] 2025-09-07T09:26:19.5085644Z 2025-09-07T09:26:20.9739596Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:26:20.9740060Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:26:20.9740437Z cuda train res2next50 2025-09-07T09:26:36.7820178Z pass 2025-09-07T09:26:40.5831710Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:40.5833210Z import pynvml # type: ignore[import] 2025-09-07T09:26:44.0051894Z 2025-09-07T09:26:45.0351762Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:26:45.0352274Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:26:45.0352692Z cuda train resmlp_12_224 2025-09-07T09:26:55.1126313Z W0907 09:26:55.111000 30478 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:27:01.0173120Z pass 2025-09-07T09:27:04.6332163Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:04.6333923Z import pynvml # type: ignore[import] 2025-09-07T09:27:08.0324399Z 2025-09-07T09:27:10.1960266Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:10.1960740Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:27:10.1961161Z cuda train resnest101e 2025-09-07T09:27:33.7652616Z pass 2025-09-07T09:27:37.6342994Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:27:37.6344512Z import pynvml # type: ignore[import] 2025-09-07T09:27:40.9810564Z 2025-09-07T09:27:42.4052153Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:27:42.4052781Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:27:42.4053201Z cuda train rexnet_100 2025-09-07T09:27:58.5544501Z W0907 09:27:58.553000 30830 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:28:08.2915992Z pass 2025-09-07T09:28:12.3625592Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:28:12.3627126Z import pynvml # type: ignore[import] 2025-09-07T09:28:15.7446131Z 2025-09-07T09:28:17.1586622Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:17.1587091Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:28:17.1587543Z cuda train sebotnet33ts_256 2025-09-07T09:28:31.2664623Z pass 2025-09-07T09:28:34.9565298Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:28:34.9566801Z import pynvml # type: ignore[import] 2025-09-07T09:28:38.2512818Z 2025-09-07T09:28:39.6460184Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:28:39.6460667Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:28:39.6461136Z cuda train selecsls42b 2025-09-07T09:28:51.4961876Z W0907 09:28:51.495000 31154 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:28:56.4223440Z pass 2025-09-07T09:29:00.5577128Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:00.5579123Z import pynvml # type: ignore[import] 2025-09-07T09:29:03.8321982Z 2025-09-07T09:29:04.9888315Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:04.9888744Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:29:04.9889573Z cuda train spnasnet_100 2025-09-07T09:29:19.0042226Z W0907 09:29:19.003000 31316 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:29:27.2576049Z pass 2025-09-07T09:29:30.2917156Z accuracy pass_rate=100.00% 2025-09-07T09:29:30.2923969Z calls_captured gmean=868.31x mean=931.200x 2025-09-07T09:29:30.2928592Z unique_graphs gmean=2.55x mean=2.600x 2025-09-07T09:29:30.2933371Z graph_breaks gmean=6.48x mean=6.500x 2025-09-07T09:29:30.2938058Z unique_graph_breaks gmean=5.00x mean=5.000x 2025-09-07T09:29:30.2942535Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:29:30.2946987Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:29:30.2951599Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:29:30.2952958Z compilation_latency mean=18.146 seconds 2025-09-07T09:29:31.4255007Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cppwrapper-true* ]] 2025-09-07T09:29:31.4256992Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T09:29:31.4258603Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 6 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:29:32.4701580Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:32.4703154Z import pynvml # type: ignore[import] 2025-09-07T09:29:37.3722518Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:37.3724032Z import pynvml # type: ignore[import] 2025-09-07T09:29:40.8926004Z 2025-09-07T09:29:42.2863238Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:29:42.2863715Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:29:42.2864139Z cuda train repvgg_a2 2025-09-07T09:31:03.8803290Z W0907 09:31:03.879000 31505 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:31:47.1517760Z pass 2025-09-07T09:31:53.5698614Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:31:53.5700136Z import pynvml # type: ignore[import] 2025-09-07T09:31:56.9257851Z 2025-09-07T09:31:58.7382258Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:31:58.7382726Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:31:58.7383158Z cuda train res2net101_26w_4s 2025-09-07T09:36:59.7059488Z pass 2025-09-07T09:37:08.7759897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:37:08.7761929Z import pynvml # type: ignore[import] 2025-09-07T09:37:12.0369372Z 2025-09-07T09:37:13.5510238Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:37:13.5510705Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:37:13.5511125Z cuda train res2net50_14w_8s 2025-09-07T09:41:31.5341255Z pass 2025-09-07T09:41:40.0298638Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:41:40.0300176Z import pynvml # type: ignore[import] 2025-09-07T09:41:43.3746983Z 2025-09-07T09:41:44.7694866Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:41:44.7695324Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:41:44.7695739Z cuda train res2next50 2025-09-07T09:43:52.1489515Z pass 2025-09-07T09:43:57.9783737Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:43:57.9785168Z import pynvml # type: ignore[import] 2025-09-07T09:44:01.4435089Z 2025-09-07T09:44:02.4116342Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:02.4120480Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:02.4121066Z cuda train resmlp_12_224 2025-09-07T09:44:40.5284347Z W0907 09:44:40.527000 33758 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:45:17.4886619Z pass 2025-09-07T09:45:22.7277989Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:45:22.7279464Z import pynvml # type: ignore[import] 2025-09-07T09:45:26.0222620Z 2025-09-07T09:45:28.1909540Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:45:28.1909915Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:45:28.1910243Z cuda train resnest101e 2025-09-07T09:49:07.8077461Z pass 2025-09-07T09:49:15.9310589Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:49:15.9312199Z import pynvml # type: ignore[import] 2025-09-07T09:49:19.2889542Z 2025-09-07T09:49:20.7491069Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:49:20.7491541Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:49:20.7491964Z cuda train rexnet_100 2025-09-07T09:51:47.1538254Z W0907 09:51:47.152000 34477 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:52:47.8844588Z pass 2025-09-07T09:52:55.6596150Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:52:55.6597702Z import pynvml # type: ignore[import] 2025-09-07T09:52:58.9907970Z 2025-09-07T09:53:00.3588950Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:53:00.3589431Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:53:00.3589810Z cuda train sebotnet33ts_256 2025-09-07T09:54:41.3938882Z E0907 09:54:41.393000 34826 site-packages/torch/_dynamo/utils.py:3115] RMSE (res-fp64): 0.09800, (ref-fp64): 0.02571 and shape=torch.Size([1536]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.080000, use_larger_multiplier_for_smaller_tensor: 0 2025-09-07T09:54:41.3941051Z E0907 09:54:41.393000 34826 site-packages/torch/_dynamo/utils.py:2976] Accuracy failed for key name stages.3.1.conv3_1x1.bn.running_var 2025-09-07T09:54:41.4231260Z fail_accuracy 2025-09-07T09:54:46.5730931Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:54:46.5732442Z import pynvml # type: ignore[import] 2025-09-07T09:54:50.0053690Z 2025-09-07T09:54:51.4177557Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:54:51.4178042Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:54:51.4178445Z cuda train selecsls42b 2025-09-07T09:55:47.3910813Z W0907 09:55:47.390000 35416 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:56:18.9912459Z pass 2025-09-07T09:56:24.2647973Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:56:24.2649432Z import pynvml # type: ignore[import] 2025-09-07T09:56:27.5552857Z 2025-09-07T09:56:28.7376046Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:56:28.7376437Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:56:28.7376756Z cuda train spnasnet_100 2025-09-07T09:58:05.6725029Z W0907 09:58:05.671000 35805 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:58:53.9879440Z pass 2025-09-07T09:58:59.7466001Z accuracy pass_rate=90.00% 2025-09-07T09:58:59.7473021Z calls_captured gmean=868.31x mean=931.200x 2025-09-07T09:58:59.7477755Z unique_graphs gmean=2.55x mean=2.600x 2025-09-07T09:58:59.7482296Z graph_breaks gmean=6.48x mean=6.500x 2025-09-07T09:58:59.7486759Z unique_graph_breaks gmean=5.00x mean=5.000x 2025-09-07T09:58:59.7491154Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:58:59.7496053Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:58:59.7500429Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:58:59.7501724Z compilation_latency mean=163.201 seconds 2025-09-07T09:59:00.8951168Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing_cudagraphs-true* ]] 2025-09-07T09:59:00.8952724Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:59:00.8954194Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T09:59:00.8955673Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:59:00.8957080Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *aotinductor-true* ]] 2025-09-07T09:59:00.8958565Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:59:00.8959956Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T09:59:00.8965946Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T09:59:00.8967365Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 6 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:59:01.9657680Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:59:01.9659082Z import pynvml # type: ignore[import] 2025-09-07T09:59:06.8194595Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:59:06.8196051Z import pynvml # type: ignore[import] 2025-09-07T09:59:10.1275416Z 2025-09-07T09:59:11.5432142Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:59:11.5432528Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:59:11.5432857Z cuda train repvgg_a2 2025-09-07T09:59:37.9988997Z Autotune Choices Stats: 2025-09-07T09:59:37.9990752Z {"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=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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T09:59:37.9996802Z AUTOTUNE convolution(8x3x224x224, 64x3x1x1) 2025-09-07T09:59:37.9997371Z strides: [150528, 1, 672, 3], [3, 1, 3, 3] 2025-09-07T09:59:37.9997767Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:37.9998798Z triton_convolution2d_0 0.0164 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, 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 2025-09-07T09:59:38.0000404Z triton_convolution2d_3 0.0174 ms 94.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, 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 2025-09-07T09:59:38.0002002Z triton_convolution2d_4 0.0174 ms 94.1% ALLOW_TF32=False, BLOCK_K=16, 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=8 2025-09-07T09:59:38.0003575Z triton_convolution2d_5 0.0184 ms 88.9% 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=8 2025-09-07T09:59:38.0005168Z triton_convolution2d_1 0.0195 ms 84.2% 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 2025-09-07T09:59:38.0006191Z convolution 0.0215 ms 76.2% 2025-09-07T09:59:38.0007109Z triton_convolution2d_2 0.0236 ms 69.6% 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 2025-09-07T09:59:38.0008407Z SingleProcess AUTOTUNE benchmarking takes 0.1151 seconds and 0.0003 seconds precompiling for 7 choices 2025-09-07T09:59:38.1298544Z Autotune Choices Stats: 2025-09-07T09:59:38.1300294Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.028672000393271446, "best_triton_pos": 1, "best_triton_time": 0.04505600035190582, "best_triton_kernel": "triton_convolution2d_10", "best_triton_kernel_desc": "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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T09:59:38.1305310Z AUTOTUNE convolution(8x3x224x224, 64x3x3x3) 2025-09-07T09:59:38.1305736Z strides: [150528, 1, 672, 3], [27, 1, 9, 3] 2025-09-07T09:59:38.1306113Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:38.1306511Z convolution 0.0287 ms 100.0% 2025-09-07T09:59:38.1307479Z triton_convolution2d_10 0.0451 ms 63.6% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T09:59:38.1309039Z triton_convolution2d_6 0.0471 ms 60.9% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T09:59:38.1310596Z triton_convolution2d_9 0.0502 ms 57.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, 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 2025-09-07T09:59:38.1312171Z triton_convolution2d_11 0.0594 ms 48.3% 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=8 2025-09-07T09:59:38.1313956Z triton_convolution2d_8 0.0645 ms 44.4% 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 2025-09-07T09:59:38.1315484Z triton_convolution2d_7 0.0819 ms 35.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T09:59:38.1316739Z SingleProcess AUTOTUNE benchmarking takes 0.1302 seconds and 0.0003 seconds precompiling for 7 choices 2025-09-07T09:59:38.2450776Z Autotune Choices Stats: 2025-09-07T09:59:38.2452211Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_15", "best_kernel_desc": "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", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T09:59:38.2458447Z AUTOTUNE convolution(8x64x112x112, 96x64x1x1) 2025-09-07T09:59:38.2458899Z strides: [802816, 1, 7168, 64], [64, 1, 64, 64] 2025-09-07T09:59:38.2459360Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:38.2460383Z triton_convolution2d_15 0.0143 ms 100.0% 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 2025-09-07T09:59:38.2461974Z triton_convolution2d_16 0.0154 ms 93.3% 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 2025-09-07T09:59:38.2463546Z triton_convolution2d_18 0.0154 ms 93.3% 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 2025-09-07T09:59:38.2465120Z triton_convolution2d_12 0.0164 ms 87.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T09:59:38.2466709Z triton_convolution2d_13 0.0164 ms 87.5% 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 2025-09-07T09:59:38.2468238Z triton_convolution2d_17 0.0164 ms 87.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, 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 2025-09-07T09:59:38.2469522Z convolution 0.0174 ms 82.4% 2025-09-07T09:59:38.2470495Z triton_convolution2d_14 0.0256 ms 56.0% 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 2025-09-07T09:59:38.2471762Z SingleProcess AUTOTUNE benchmarking takes 0.1136 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:38.3897481Z Autotune Choices Stats: 2025-09-07T09:59:38.3899294Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03686400130391121, "best_triton_pos": 1, "best_triton_time": 0.03891199827194214, "best_triton_kernel": "triton_convolution2d_22", "best_triton_kernel_desc": "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"} 2025-09-07T09:59:38.3904241Z AUTOTUNE convolution(8x64x112x112, 96x64x3x3) 2025-09-07T09:59:38.3904706Z strides: [802816, 1, 7168, 64], [576, 1, 192, 64] 2025-09-07T09:59:38.3905149Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:38.3905561Z convolution 0.0369 ms 100.0% 2025-09-07T09:59:38.3906501Z triton_convolution2d_22 0.0389 ms 94.7% 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 2025-09-07T09:59:38.3908384Z triton_convolution2d_25 0.0440 ms 83.7% 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 2025-09-07T09:59:38.3909976Z triton_convolution2d_20 0.0512 ms 72.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T09:59:38.3911533Z triton_convolution2d_24 0.0512 ms 72.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T09:59:38.3913096Z triton_convolution2d_23 0.0522 ms 70.6% 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 2025-09-07T09:59:38.3914659Z triton_convolution2d_19 0.0737 ms 50.0% 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 2025-09-07T09:59:38.3916229Z triton_convolution2d_21 0.1331 ms 27.7% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T09:59:38.3917583Z SingleProcess AUTOTUNE benchmarking takes 0.1441 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:38.6496341Z Autotune Choices Stats: 2025-09-07T09:59:38.6497605Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_40", "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=2, num_warps=8", "best_time": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T09:59:38.6503432Z AUTOTUNE mm(25088x96, 96x96) 2025-09-07T09:59:38.6503848Z strides: [96, 1], [1, 96] 2025-09-07T09:59:38.6504244Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:38.6505113Z triton_mm_40 0.0154 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=2, num_warps=8 2025-09-07T09:59:38.6506413Z triton_mm_41 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:38.6507878Z triton_mm_38 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:38.6509146Z triton_mm_35 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:38.6510428Z triton_mm_42 0.0174 ms 88.2% 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 2025-09-07T09:59:38.6511698Z triton_mm_36 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:59:38.6512963Z triton_mm_39 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:59:38.6513799Z mm 0.0195 ms 78.9% 2025-09-07T09:59:38.6514528Z triton_mm_29 0.0195 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:59:38.6515801Z triton_mm_30 0.0195 ms 78.9% 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 2025-09-07T09:59:38.6517059Z SingleProcess AUTOTUNE benchmarking takes 0.2585 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:59:38.8069374Z Autotune Choices Stats: 2025-09-07T09:59:38.8071124Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03481600061058998, "best_triton_pos": 1, "best_triton_time": 0.048128001391887665, "best_triton_kernel": "triton_convolution2d_47", "best_triton_kernel_desc": "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"} 2025-09-07T09:59:38.8077029Z AUTOTUNE convolution(8x96x56x56, 96x96x3x3) 2025-09-07T09:59:38.8077543Z strides: [301056, 1, 5376, 96], [864, 1, 288, 96] 2025-09-07T09:59:38.8077945Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:38.8078359Z convolution 0.0348 ms 100.0% 2025-09-07T09:59:38.8079357Z triton_convolution2d_47 0.0481 ms 72.3% 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 2025-09-07T09:59:38.8080940Z triton_convolution2d_50 0.0532 ms 65.4% 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 2025-09-07T09:59:38.8082507Z triton_convolution2d_49 0.0594 ms 58.6% 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 2025-09-07T09:59:38.8084080Z triton_convolution2d_45 0.0635 ms 54.8% 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 2025-09-07T09:59:38.8093634Z triton_convolution2d_48 0.0655 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T09:59:38.8095153Z triton_convolution2d_44 0.0819 ms 42.5% 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 2025-09-07T09:59:38.8096659Z triton_convolution2d_46 0.1700 ms 20.5% 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 2025-09-07T09:59:38.8098095Z SingleProcess AUTOTUNE benchmarking takes 0.1568 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:38.9167878Z Autotune Choices Stats: 2025-09-07T09:59:38.9169178Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_55", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:59:38.9175743Z AUTOTUNE convolution(8x96x56x56, 192x96x1x1) 2025-09-07T09:59:38.9176101Z strides: [301056, 1, 5376, 96], [96, 1, 96, 96] 2025-09-07T09:59:38.9176456Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:38.9177379Z triton_convolution2d_55 0.0113 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 2025-09-07T09:59:38.9178887Z triton_convolution2d_54 0.0123 ms 91.7% 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 2025-09-07T09:59:38.9179806Z convolution 0.0133 ms 84.6% 2025-09-07T09:59:38.9180849Z triton_convolution2d_56 0.0133 ms 84.6% 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 2025-09-07T09:59:38.9182339Z triton_convolution2d_57 0.0133 ms 84.6% 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 2025-09-07T09:59:38.9183825Z triton_convolution2d_52 0.0143 ms 78.6% 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 2025-09-07T09:59:38.9185315Z triton_convolution2d_51 0.0154 ms 73.3% 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 2025-09-07T09:59:38.9186807Z triton_convolution2d_53 0.0195 ms 57.9% 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 2025-09-07T09:59:38.9187983Z SingleProcess AUTOTUNE benchmarking takes 0.1084 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:39.0573984Z Autotune Choices Stats: 2025-09-07T09:59:39.0575611Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.026623999699950218, "best_triton_pos": 1, "best_triton_time": 0.030719999223947525, "best_triton_kernel": "triton_convolution2d_62", "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"} 2025-09-07T09:59:39.0582231Z AUTOTUNE convolution(8x96x56x56, 192x96x3x3) 2025-09-07T09:59:39.0582591Z strides: [301056, 1, 5376, 96], [864, 1, 288, 96] 2025-09-07T09:59:39.0582958Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:39.0583281Z convolution 0.0266 ms 100.0% 2025-09-07T09:59:39.0584157Z triton_convolution2d_62 0.0307 ms 86.7% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T09:59:39.0585650Z triton_convolution2d_61 0.0451 ms 59.1% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T09:59:39.0587296Z triton_convolution2d_64 0.0451 ms 59.1% 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 2025-09-07T09:59:39.0588785Z triton_convolution2d_63 0.0461 ms 57.8% 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 2025-09-07T09:59:39.0590273Z triton_convolution2d_59 0.0563 ms 47.3% 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 2025-09-07T09:59:39.0591759Z triton_convolution2d_58 0.0584 ms 45.6% 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 2025-09-07T09:59:39.0593262Z triton_convolution2d_60 0.1014 ms 26.3% 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 2025-09-07T09:59:39.0594441Z SingleProcess AUTOTUNE benchmarking takes 0.1401 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:39.3093633Z Autotune Choices Stats: 2025-09-07T09:59:39.3095078Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_77", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T09:59:39.3102208Z AUTOTUNE mm(6272x192, 192x192) 2025-09-07T09:59:39.3102500Z strides: [192, 1], [1, 192] 2025-09-07T09:59:39.3102803Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:39.3103587Z triton_mm_77 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:39.3104791Z triton_mm_78 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:59:39.3106014Z triton_mm_80 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:39.3106765Z mm 0.0143 ms 92.9% 2025-09-07T09:59:39.3107444Z triton_mm_72 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:59:39.3108609Z triton_mm_74 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:39.3109798Z triton_mm_75 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:59:39.3110978Z triton_mm_76 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:39.3112156Z triton_mm_81 0.0143 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 2025-09-07T09:59:39.3113336Z triton_mm_82 0.0143 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=5, num_warps=8 2025-09-07T09:59:39.3114363Z SingleProcess AUTOTUNE benchmarking takes 0.2506 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:59:39.4820036Z Autotune Choices Stats: 2025-09-07T09:59:39.4821716Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03379200026392937, "best_triton_pos": 1, "best_triton_time": 0.055296000093221664, "best_triton_kernel": "triton_convolution2d_87", "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"} 2025-09-07T09:59:39.4829339Z AUTOTUNE convolution(8x192x28x28, 192x192x3x3) 2025-09-07T09:59:39.4829728Z strides: [150528, 1, 5376, 192], [1728, 1, 576, 192] 2025-09-07T09:59:39.4830083Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:39.4830409Z convolution 0.0338 ms 100.0% 2025-09-07T09:59:39.4831309Z triton_convolution2d_87 0.0553 ms 61.1% 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 2025-09-07T09:59:39.4832817Z triton_convolution2d_86 0.0799 ms 42.3% 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 2025-09-07T09:59:39.4834315Z triton_convolution2d_89 0.0799 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T09:59:39.4836079Z triton_convolution2d_88 0.0829 ms 40.7% 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 2025-09-07T09:59:39.4837654Z triton_convolution2d_84 0.0983 ms 34.4% 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 2025-09-07T09:59:39.4839134Z triton_convolution2d_83 0.1055 ms 32.0% 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 2025-09-07T09:59:39.4840629Z triton_convolution2d_85 0.1833 ms 18.4% 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 2025-09-07T09:59:39.4841808Z SingleProcess AUTOTUNE benchmarking takes 0.1721 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:39.5981325Z Autotune Choices Stats: 2025-09-07T09:59:39.5982977Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.013311999849975109, "best_triton_kernel": "triton_convolution2d_144", "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"} 2025-09-07T09:59:39.6028445Z AUTOTUNE convolution(8x192x28x28, 384x192x1x1) 2025-09-07T09:59:39.6028859Z strides: [150528, 1, 5376, 192], [192, 1, 192, 192] 2025-09-07T09:59:39.6029206Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:39.6029538Z convolution 0.0133 ms 100.0% 2025-09-07T09:59:39.6030487Z triton_convolution2d_144 0.0133 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 2025-09-07T09:59:39.6031991Z triton_convolution2d_143 0.0154 ms 86.7% 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 2025-09-07T09:59:39.6033489Z triton_convolution2d_145 0.0154 ms 86.7% 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 2025-09-07T09:59:39.6035235Z triton_convolution2d_140 0.0164 ms 81.2% 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 2025-09-07T09:59:39.6036739Z triton_convolution2d_146 0.0164 ms 81.2% 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 2025-09-07T09:59:39.6038294Z triton_convolution2d_141 0.0184 ms 72.2% 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 2025-09-07T09:59:39.6039792Z triton_convolution2d_142 0.0287 ms 46.4% 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 2025-09-07T09:59:39.6040984Z SingleProcess AUTOTUNE benchmarking takes 0.1152 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:39.7798205Z Autotune Choices Stats: 2025-09-07T09:59:39.7803276Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.027648000046610832, "best_triton_pos": 1, "best_triton_time": 0.05427199974656105, "best_triton_kernel": "triton_convolution2d_151", "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"} 2025-09-07T09:59:39.7808199Z AUTOTUNE convolution(8x192x28x28, 384x192x3x3) 2025-09-07T09:59:39.7808656Z strides: [150528, 1, 5376, 192], [1728, 1, 576, 192] 2025-09-07T09:59:39.7809031Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:39.7809353Z convolution 0.0276 ms 100.0% 2025-09-07T09:59:39.7810247Z triton_convolution2d_151 0.0543 ms 50.9% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T09:59:39.7811758Z triton_convolution2d_150 0.0788 ms 35.1% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T09:59:39.7813526Z triton_convolution2d_152 0.0819 ms 33.8% 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 2025-09-07T09:59:39.7815023Z triton_convolution2d_153 0.0819 ms 33.8% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T09:59:39.7816525Z triton_convolution2d_148 0.1044 ms 26.5% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T09:59:39.7818022Z triton_convolution2d_147 0.1065 ms 26.0% 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 2025-09-07T09:59:39.7819525Z triton_convolution2d_149 0.1884 ms 14.7% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T09:59:39.7820708Z SingleProcess AUTOTUNE benchmarking takes 0.1764 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:40.0315298Z Autotune Choices Stats: 2025-09-07T09:59:40.0316745Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.013311999849975109, "best_triton_kernel": "triton_mm_161", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8"} 2025-09-07T09:59:40.0325127Z AUTOTUNE mm(1568x384, 384x384) 2025-09-07T09:59:40.0325430Z strides: [384, 1], [1, 384] 2025-09-07T09:59:40.0325746Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:40.0326059Z mm 0.0123 ms 100.0% 2025-09-07T09:59:40.0326752Z triton_mm_161 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:59:40.0327943Z triton_mm_164 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:59:40.0329128Z triton_mm_165 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:40.0330322Z triton_mm_167 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:59:40.0331667Z triton_mm_163 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:40.0333170Z triton_mm_166 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:40.0334359Z triton_mm_162 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:59:40.0335543Z triton_mm_170 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T09:59:40.0336744Z triton_mm_171 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:59:40.0337779Z SingleProcess AUTOTUNE benchmarking takes 0.2501 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T09:59:40.2587678Z Autotune Choices Stats: 2025-09-07T09:59:40.2589342Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03891199827194214, "best_triton_pos": 1, "best_triton_time": 0.10239999741315842, "best_triton_kernel": "triton_convolution2d_176", "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"} 2025-09-07T09:59:40.2597928Z AUTOTUNE convolution(8x384x14x14, 384x384x3x3) 2025-09-07T09:59:40.2598385Z strides: [75264, 1, 5376, 384], [3456, 1, 1152, 384] 2025-09-07T09:59:40.2598737Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:40.2599057Z convolution 0.0389 ms 100.0% 2025-09-07T09:59:40.2599965Z triton_convolution2d_176 0.1024 ms 38.0% 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=4 2025-09-07T09:59:40.2601474Z triton_convolution2d_175 0.1444 ms 27.0% 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 2025-09-07T09:59:40.2602971Z triton_convolution2d_177 0.1546 ms 25.2% 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 2025-09-07T09:59:40.2604766Z triton_convolution2d_178 0.1577 ms 24.7% 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 2025-09-07T09:59:40.2606252Z triton_convolution2d_173 0.1915 ms 20.3% 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 2025-09-07T09:59:40.2607755Z triton_convolution2d_172 0.2007 ms 19.4% 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 2025-09-07T09:59:40.2609251Z triton_convolution2d_174 0.3461 ms 11.2% 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 2025-09-07T09:59:40.2610437Z SingleProcess AUTOTUNE benchmarking takes 0.2256 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:40.4089280Z Autotune Choices Stats: 2025-09-07T09:59:40.4091293Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.018432000651955605, "best_triton_kernel": "triton_convolution2d_483", "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"} 2025-09-07T09:59:40.4100283Z AUTOTUNE convolution(8x384x14x14, 1408x384x1x1) 2025-09-07T09:59:40.4100680Z strides: [75264, 1, 5376, 384], [384, 1, 384, 384] 2025-09-07T09:59:40.4101030Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:40.4101350Z convolution 0.0133 ms 100.0% 2025-09-07T09:59:40.4102225Z triton_convolution2d_483 0.0184 ms 72.2% 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 2025-09-07T09:59:40.4103735Z triton_convolution2d_482 0.0225 ms 59.1% 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 2025-09-07T09:59:40.4105249Z triton_convolution2d_484 0.0225 ms 59.1% 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 2025-09-07T09:59:40.4106740Z triton_convolution2d_485 0.0236 ms 56.5% 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 2025-09-07T09:59:40.4108225Z triton_convolution2d_479 0.0256 ms 52.0% 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 2025-09-07T09:59:40.4109702Z triton_convolution2d_480 0.0276 ms 48.1% 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 2025-09-07T09:59:40.4111208Z triton_convolution2d_481 0.0369 ms 36.1% 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 2025-09-07T09:59:40.4112386Z SingleProcess AUTOTUNE benchmarking takes 0.1175 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:40.6390361Z Autotune Choices Stats: 2025-09-07T09:59:40.6391984Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04095999896526337, "best_triton_pos": 1, "best_triton_time": 0.1085439994931221, "best_triton_kernel": "triton_convolution2d_490", "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"} 2025-09-07T09:59:40.6401765Z AUTOTUNE convolution(8x384x14x14, 1408x384x3x3) 2025-09-07T09:59:40.6402196Z strides: [75264, 1, 5376, 384], [3456, 1, 1152, 384] 2025-09-07T09:59:40.6402554Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:40.6402891Z convolution 0.0410 ms 100.0% 2025-09-07T09:59:40.6403787Z triton_convolution2d_490 0.1085 ms 37.7% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T09:59:40.6405290Z triton_convolution2d_489 0.1526 ms 26.8% 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 2025-09-07T09:59:40.6406804Z triton_convolution2d_492 0.1577 ms 26.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T09:59:40.6408298Z triton_convolution2d_491 0.1587 ms 25.8% 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 2025-09-07T09:59:40.6410065Z triton_convolution2d_487 0.2007 ms 20.4% 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 2025-09-07T09:59:40.6411563Z triton_convolution2d_486 0.2068 ms 19.8% 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 2025-09-07T09:59:40.6413313Z triton_convolution2d_488 0.2755 ms 14.9% 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 2025-09-07T09:59:40.6414499Z SingleProcess AUTOTUNE benchmarking takes 0.2284 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T09:59:40.9273601Z Autotune Choices Stats: 2025-09-07T09:59:40.9274818Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_497", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T09:59:40.9284747Z AUTOTUNE addmm(8x1000, 8x1408, 1408x1000) 2025-09-07T09:59:40.9285119Z strides: [0, 1], [1408, 1], [1, 1408] 2025-09-07T09:59:40.9285490Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T09:59:40.9286323Z triton_mm_497 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:59:40.9287533Z triton_mm_501 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:59:40.9288737Z triton_mm_505 0.0143 ms 85.7% 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 2025-09-07T09:59:40.9289924Z triton_mm_509 0.0154 ms 80.0% 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=5, num_warps=8 2025-09-07T09:59:40.9290672Z bias_addmm 0.0164 ms 75.0% 2025-09-07T09:59:40.9291384Z triton_mm_496 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T09:59:40.9292987Z triton_mm_495 0.0174 ms 70.6% 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 2025-09-07T09:59:40.9294170Z triton_mm_494 0.0184 ms 66.7% 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 2025-09-07T09:59:40.9295349Z triton_mm_500 0.0184 ms 66.7% 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 2025-09-07T09:59:40.9296522Z triton_mm_504 0.0184 ms 66.7% 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=3, num_warps=4 2025-09-07T09:59:40.9297544Z SingleProcess AUTOTUNE benchmarking takes 0.2866 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T09:59:56.4472906Z Autotune Choices Stats: 2025-09-07T09:59:56.4474142Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_539", "best_kernel_desc": "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", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T09:59:56.4484941Z AUTOTUNE mm(1000x8, 8x1408) 2025-09-07T09:59:56.4485252Z strides: [1, 1000], [1408, 1] 2025-09-07T09:59:56.4485908Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:56.4486698Z triton_mm_539 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T09:59:56.4487917Z triton_mm_527 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T09:59:56.4489120Z triton_mm_528 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:59:56.4490304Z triton_mm_529 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T09:59:56.4491490Z triton_mm_530 0.0092 ms 88.9% 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=8 2025-09-07T09:59:56.4492907Z triton_mm_531 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:59:56.4494101Z triton_mm_532 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T09:59:56.4495290Z triton_mm_533 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T09:59:56.4496474Z triton_mm_534 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T09:59:56.4497671Z triton_mm_535 0.0092 ms 88.9% 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=3, num_warps=4 2025-09-07T09:59:56.4498710Z SingleProcess AUTOTUNE benchmarking takes 0.2081 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T09:59:57.2640691Z Autotune Choices Stats: 2025-09-07T09:59:57.2641921Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_518", "best_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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T09:59:57.2652854Z AUTOTUNE mm(8x1000, 1000x1408) 2025-09-07T09:59:57.2653144Z strides: [1000, 1], [1408, 1] 2025-09-07T09:59:57.2653448Z dtypes: torch.float16, torch.float16 2025-09-07T09:59:57.2654253Z triton_mm_518 0.0113 ms 100.0% 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 2025-09-07T09:59:57.2655466Z triton_mm_514 0.0123 ms 91.7% 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 2025-09-07T09:59:57.2656668Z triton_mm_522 0.0123 ms 91.7% 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 2025-09-07T09:59:57.2657429Z mm 0.0133 ms 84.6% 2025-09-07T09:59:57.2658108Z triton_mm_526 0.0133 ms 84.6% 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=5, num_warps=8 2025-09-07T09:59:57.2659292Z triton_mm_512 0.0143 ms 78.6% 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 2025-09-07T09:59:57.2660689Z triton_mm_513 0.0143 ms 78.6% 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 2025-09-07T09:59:57.2661879Z triton_mm_517 0.0154 ms 73.3% 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 2025-09-07T09:59:57.2663068Z triton_mm_521 0.0154 ms 73.3% 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 2025-09-07T09:59:57.2664263Z triton_mm_511 0.0164 ms 68.8% 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=2, num_warps=2 2025-09-07T09:59:57.2665289Z SingleProcess AUTOTUNE benchmarking takes 0.2414 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:00:06.1460627Z W0907 10:00:06.145000 36161 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:00:34.7994404Z pass 2025-09-07T10:00:40.7422714Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:00:40.7424143Z import pynvml # type: ignore[import] 2025-09-07T10:00:44.0950842Z 2025-09-07T10:00:45.9076059Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:00:45.9076440Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:00:45.9076752Z cuda train res2net101_26w_4s 2025-09-07T10:01:57.6309643Z Autotune Choices Stats: 2025-09-07T10:01:57.6311370Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.06348799914121628, "best_triton_pos": 1, "best_triton_time": 0.20787200331687927, "best_triton_kernel": "triton_convolution2d_0", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:01:57.6322314Z AUTOTUNE convolution(8x3x224x224, 64x3x7x7) 2025-09-07T10:01:57.6322682Z strides: [150528, 1, 672, 3], [147, 1, 21, 3] 2025-09-07T10:01:57.6323033Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:57.6323351Z convolution 0.0635 ms 100.0% 2025-09-07T10:01:57.6324563Z triton_convolution2d_0 0.2079 ms 30.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:01:57.6326054Z triton_convolution2d_3 0.2181 ms 29.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:01:57.6327554Z triton_convolution2d_4 0.2447 ms 25.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:01:57.6329034Z triton_convolution2d_2 0.2580 ms 24.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:01:57.6330520Z triton_convolution2d_5 0.2785 ms 22.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:01:57.6332006Z triton_convolution2d_1 0.6216 ms 10.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:01:57.6333647Z SingleProcess AUTOTUNE benchmarking takes 0.2483 seconds and 0.0003 seconds precompiling for 7 choices 2025-09-07T10:01:57.8970306Z Autotune Choices Stats: 2025-09-07T10:01:57.8971487Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_13", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:01:57.8984025Z AUTOTUNE mm(25088x64, 64x104) 2025-09-07T10:01:57.8984402Z strides: [64, 1], [1, 64] 2025-09-07T10:01:57.8984695Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:57.8985456Z triton_mm_13 0.0143 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 2025-09-07T10:01:57.8986647Z triton_mm_14 0.0143 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 2025-09-07T10:01:57.8987843Z triton_mm_15 0.0143 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 2025-09-07T10:01:57.8989045Z triton_mm_17 0.0143 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 2025-09-07T10:01:57.8990231Z triton_mm_18 0.0143 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 2025-09-07T10:01:57.8991430Z triton_mm_21 0.0143 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=2, num_warps=8 2025-09-07T10:01:57.8992641Z triton_mm_22 0.0143 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 2025-09-07T10:01:57.8993822Z triton_mm_24 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:01:57.8995009Z triton_mm_10 0.0154 ms 93.3% 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 2025-09-07T10:01:57.8996495Z triton_mm_19 0.0154 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 2025-09-07T10:01:57.8997623Z SingleProcess AUTOTUNE benchmarking takes 0.2632 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:01:58.0180497Z Autotune Choices Stats: 2025-09-07T10:01:58.0181851Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_28", "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=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.020479999482631683, "best_triton_pos": 0} 2025-09-07T10:01:58.0194600Z AUTOTUNE convolution(8x26x56x56, 26x26x3x3) 2025-09-07T10:01:58.0194989Z strides: [81536, 1, 1456, 26], [234, 1, 78, 26] 2025-09-07T10:01:58.0195342Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:58.0196272Z triton_convolution2d_28 0.0205 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=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:01:58.0197267Z convolution 0.0215 ms 95.2% 2025-09-07T10:01:58.0198142Z triton_convolution2d_30 0.0215 ms 95.2% 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 2025-09-07T10:01:58.0199844Z triton_convolution2d_25 0.0225 ms 90.9% 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 2025-09-07T10:01:58.0201331Z triton_convolution2d_29 0.0236 ms 87.0% 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 2025-09-07T10:01:58.0202823Z triton_convolution2d_31 0.0236 ms 87.0% 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 2025-09-07T10:01:58.0204307Z triton_convolution2d_26 0.0287 ms 71.4% 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 2025-09-07T10:01:58.0205809Z triton_convolution2d_27 0.0594 ms 34.5% 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 2025-09-07T10:01:58.0206987Z SingleProcess AUTOTUNE benchmarking takes 0.1204 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:01:58.3110453Z Autotune Choices Stats: 2025-09-07T10:01:58.3111639Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_62", "best_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", "best_time": 0.026623999699950218, "best_triton_pos": 0} 2025-09-07T10:01:58.3124805Z AUTOTUNE mm(25088x104, 104x256) 2025-09-07T10:01:58.3125118Z strides: [104, 1], [1, 104] 2025-09-07T10:01:58.3125399Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:58.3126187Z triton_mm_62 0.0266 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:01:58.3127395Z triton_mm_54 0.0287 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=5, num_warps=4 2025-09-07T10:01:58.3128590Z triton_mm_58 0.0287 ms 92.9% 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 2025-09-07T10:01:58.3130030Z triton_mm_60 0.0287 ms 92.9% 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 2025-09-07T10:01:58.3131244Z triton_mm_61 0.0287 ms 92.9% 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 2025-09-07T10:01:58.3132437Z triton_mm_57 0.0297 ms 89.7% 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 2025-09-07T10:01:58.3133883Z triton_mm_59 0.0297 ms 89.7% 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 2025-09-07T10:01:58.3134641Z mm 0.0307 ms 86.7% 2025-09-07T10:01:58.3135343Z triton_mm_63 0.0317 ms 83.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:01:58.3136541Z triton_mm_53 0.0328 ms 81.2% 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 2025-09-07T10:01:58.3137562Z SingleProcess AUTOTUNE benchmarking takes 0.2914 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:01:58.6108767Z Autotune Choices Stats: 2025-09-07T10:01:58.6110215Z {"num_choices": 20, "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": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:01:58.6123931Z AUTOTUNE mm(25088x64, 64x256) 2025-09-07T10:01:58.6124243Z strides: [64, 1], [1, 64] 2025-09-07T10:01:58.6124531Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:58.6125313Z triton_mm_75 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:01:58.6126497Z triton_mm_76 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:01:58.6127691Z triton_mm_72 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:01:58.6128860Z triton_mm_71 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:01:58.6130032Z triton_mm_73 0.0205 ms 90.0% 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 2025-09-07T10:01:58.6131233Z triton_mm_74 0.0205 ms 90.0% 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 2025-09-07T10:01:58.6132419Z triton_mm_77 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:01:58.6133878Z triton_mm_80 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:01:58.6135054Z triton_mm_82 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:01:58.6136236Z triton_mm_78 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:01:58.6137477Z SingleProcess AUTOTUNE benchmarking takes 0.2992 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:01:58.9090436Z Autotune Choices Stats: 2025-09-07T10:01:58.9091672Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_98", "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": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T10:01:58.9106250Z AUTOTUNE mm(25088x256, 256x104) 2025-09-07T10:01:58.9106572Z strides: [256, 1], [1, 256] 2025-09-07T10:01:58.9106857Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:58.9107627Z triton_mm_98 0.0256 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 2025-09-07T10:01:58.9108852Z triton_mm_99 0.0256 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 2025-09-07T10:01:58.9110065Z triton_mm_94 0.0266 ms 96.2% 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 2025-09-07T10:01:58.9111565Z triton_mm_97 0.0266 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:01:58.9112324Z mm 0.0276 ms 92.6% 2025-09-07T10:01:58.9113005Z triton_mm_92 0.0276 ms 92.6% 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 2025-09-07T10:01:58.9114187Z triton_mm_93 0.0276 ms 92.6% 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 2025-09-07T10:01:58.9115379Z triton_mm_95 0.0276 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=3, num_warps=4 2025-09-07T10:01:58.9116557Z triton_mm_90 0.0287 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:01:58.9117831Z triton_mm_96 0.0287 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 2025-09-07T10:01:58.9118870Z SingleProcess AUTOTUNE benchmarking takes 0.2975 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:01:59.2299816Z Autotune Choices Stats: 2025-09-07T10:01:59.2301018Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_212", "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": 0.03276799991726875, "best_triton_pos": 0} 2025-09-07T10:01:59.2315981Z AUTOTUNE mm(25088x256, 256x208) 2025-09-07T10:01:59.2316296Z strides: [256, 1], [1, 256] 2025-09-07T10:01:59.2316603Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:59.2317415Z triton_mm_212 0.0328 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 2025-09-07T10:01:59.2318651Z triton_mm_213 0.0328 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 2025-09-07T10:01:59.2319856Z triton_mm_209 0.0348 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:01:59.2320611Z mm 0.0358 ms 91.4% 2025-09-07T10:01:59.2321583Z triton_mm_207 0.0369 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:01:59.2322784Z triton_mm_210 0.0369 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:01:59.2323986Z triton_mm_211 0.0369 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:01:59.2325166Z triton_mm_206 0.0379 ms 86.5% 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 2025-09-07T10:01:59.2326350Z triton_mm_208 0.0379 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:01:59.2327542Z triton_mm_214 0.0389 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:01:59.2328583Z SingleProcess AUTOTUNE benchmarking takes 0.3158 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:01:59.3650588Z Autotune Choices Stats: 2025-09-07T10:01:59.3652308Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_220", "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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.023552000522613525, "best_triton_pos": 0} 2025-09-07T10:01:59.3667670Z AUTOTUNE convolution(8x52x56x56, 52x52x3x3) 2025-09-07T10:01:59.3668143Z strides: [163072, 1, 2912, 52], [468, 1, 156, 52] 2025-09-07T10:01:59.3668496Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:59.3669516Z triton_convolution2d_220 0.0236 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:01:59.3671029Z triton_convolution2d_219 0.0256 ms 92.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:01:59.3672552Z triton_convolution2d_218 0.0276 ms 85.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:01:59.3674057Z triton_convolution2d_215 0.0338 ms 69.7% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:01:59.3675563Z triton_convolution2d_221 0.0338 ms 69.7% 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 2025-09-07T10:01:59.3676490Z convolution 0.0399 ms 59.0% 2025-09-07T10:01:59.3677439Z triton_convolution2d_216 0.0420 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=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:01:59.3678967Z triton_convolution2d_217 0.0686 ms 34.3% 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 2025-09-07T10:01:59.3680164Z SingleProcess AUTOTUNE benchmarking takes 0.1344 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:01:59.6501327Z Autotune Choices Stats: 2025-09-07T10:01:59.6502828Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_mm_251", "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"} 2025-09-07T10:01:59.6517504Z AUTOTUNE mm(6272x208, 208x512) 2025-09-07T10:01:59.6517837Z strides: [208, 1], [1, 208] 2025-09-07T10:01:59.6518134Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:59.6518460Z mm 0.0174 ms 100.0% 2025-09-07T10:01:59.6519185Z triton_mm_251 0.0174 ms 100.0% 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 2025-09-07T10:01:59.6520407Z triton_mm_248 0.0195 ms 89.5% 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 2025-09-07T10:01:59.6521612Z triton_mm_250 0.0195 ms 89.5% 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=2, num_warps=8 2025-09-07T10:01:59.6522811Z triton_mm_252 0.0195 ms 89.5% 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 2025-09-07T10:01:59.6524183Z triton_mm_245 0.0205 ms 85.0% 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 2025-09-07T10:01:59.6525381Z triton_mm_247 0.0205 ms 85.0% 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 2025-09-07T10:01:59.6526579Z triton_mm_246 0.0215 ms 81.0% 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=4, num_warps=8 2025-09-07T10:01:59.6527779Z triton_mm_249 0.0215 ms 81.0% 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 2025-09-07T10:01:59.6528977Z triton_mm_253 0.0236 ms 73.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:01:59.6530026Z SingleProcess AUTOTUNE benchmarking takes 0.2831 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:01:59.7783345Z Autotune Choices Stats: 2025-09-07T10:01:59.7785003Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.021503999829292297, "best_triton_kernel": "triton_convolution2d_259", "best_triton_kernel_desc": "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"} 2025-09-07T10:01:59.7800159Z AUTOTUNE convolution(8x256x56x56, 512x256x1x1) 2025-09-07T10:01:59.7800614Z strides: [802816, 1, 14336, 256], [256, 1, 256, 256] 2025-09-07T10:01:59.7800981Z dtypes: torch.float16, torch.float16 2025-09-07T10:01:59.7801288Z convolution 0.0195 ms 100.0% 2025-09-07T10:01:59.7802202Z triton_convolution2d_259 0.0215 ms 90.5% 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 2025-09-07T10:01:59.7803706Z triton_convolution2d_257 0.0225 ms 86.4% 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 2025-09-07T10:01:59.7805208Z triton_convolution2d_260 0.0225 ms 86.4% 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 2025-09-07T10:01:59.7806942Z triton_convolution2d_255 0.0256 ms 76.0% 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 2025-09-07T10:01:59.7808433Z triton_convolution2d_254 0.0266 ms 73.1% 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 2025-09-07T10:01:59.7809919Z triton_convolution2d_258 0.0266 ms 73.1% 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 2025-09-07T10:01:59.7811408Z triton_convolution2d_256 0.0788 ms 24.7% 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 2025-09-07T10:01:59.7812582Z SingleProcess AUTOTUNE benchmarking takes 0.1252 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:02:00.0534811Z Autotune Choices Stats: 2025-09-07T10:02:00.0536415Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_272", "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": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:02:00.0551847Z AUTOTUNE mm(6272x512, 512x208) 2025-09-07T10:02:00.0552180Z strides: [512, 1], [1, 512] 2025-09-07T10:02:00.0552480Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:00.0553243Z triton_mm_272 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:00.0554454Z triton_mm_278 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:02:00.0555231Z mm 0.0195 ms 94.7% 2025-09-07T10:02:00.0555936Z triton_mm_277 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:00.0557190Z triton_mm_270 0.0205 ms 90.0% 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 2025-09-07T10:02:00.0558383Z triton_mm_271 0.0205 ms 90.0% 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 2025-09-07T10:02:00.0559566Z triton_mm_273 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:00.0560759Z triton_mm_274 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:00.0561948Z triton_mm_276 0.0215 ms 85.7% 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 2025-09-07T10:02:00.0563132Z triton_mm_268 0.0236 ms 78.3% 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 2025-09-07T10:02:00.0564151Z SingleProcess AUTOTUNE benchmarking takes 0.2721 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:02:00.1850216Z Autotune Choices Stats: 2025-09-07T10:02:00.1851635Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_284", "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": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:02:00.1869699Z AUTOTUNE convolution(8x52x28x28, 52x52x3x3) 2025-09-07T10:02:00.1870200Z strides: [40768, 1, 1456, 52], [468, 1, 156, 52] 2025-09-07T10:02:00.1870639Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:00.1871629Z triton_convolution2d_284 0.0215 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 2025-09-07T10:02:00.1873217Z triton_convolution2d_283 0.0246 ms 87.5% 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 2025-09-07T10:02:00.1874794Z triton_convolution2d_282 0.0266 ms 80.8% 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 2025-09-07T10:02:00.1876373Z triton_convolution2d_279 0.0328 ms 65.6% 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 2025-09-07T10:02:00.1878252Z triton_convolution2d_285 0.0328 ms 65.6% 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 2025-09-07T10:02:00.1879259Z convolution 0.0338 ms 63.6% 2025-09-07T10:02:00.1880220Z triton_convolution2d_280 0.0420 ms 51.2% 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 2025-09-07T10:02:00.1881774Z triton_convolution2d_281 0.0727 ms 29.6% 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 2025-09-07T10:02:00.1883057Z SingleProcess AUTOTUNE benchmarking takes 0.1311 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:02:00.5155711Z Autotune Choices Stats: 2025-09-07T10:02:00.5157411Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_447", "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"} 2025-09-07T10:02:00.5174879Z AUTOTUNE mm(6272x512, 512x416) 2025-09-07T10:02:00.5175274Z strides: [512, 1], [1, 512] 2025-09-07T10:02:00.5175656Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:00.5176013Z mm 0.0246 ms 100.0% 2025-09-07T10:02:00.5176846Z triton_mm_447 0.0246 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 2025-09-07T10:02:00.5178151Z triton_mm_448 0.0246 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 2025-09-07T10:02:00.5179442Z triton_mm_444 0.0276 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:00.5180729Z triton_mm_441 0.0287 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:00.5182011Z triton_mm_443 0.0287 ms 85.7% 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 2025-09-07T10:02:00.5183517Z triton_mm_449 0.0287 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:02:00.5184799Z triton_mm_442 0.0307 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:00.5186092Z triton_mm_445 0.0317 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 2025-09-07T10:02:00.5187365Z triton_mm_446 0.0317 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:02:00.5188487Z SingleProcess AUTOTUNE benchmarking takes 0.3154 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:02:00.6692398Z Autotune Choices Stats: 2025-09-07T10:02:00.6694332Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.03686400130391121, "best_triton_kernel": "triton_convolution2d_454", "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"} 2025-09-07T10:02:00.6710666Z AUTOTUNE convolution(8x104x28x28, 104x104x3x3) 2025-09-07T10:02:00.6711134Z strides: [81536, 1, 2912, 104], [936, 1, 312, 104] 2025-09-07T10:02:00.6711539Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:00.6711954Z convolution 0.0174 ms 100.0% 2025-09-07T10:02:00.6712911Z triton_convolution2d_454 0.0369 ms 47.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:02:00.6714499Z triton_convolution2d_455 0.0461 ms 37.8% 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 2025-09-07T10:02:00.6716081Z triton_convolution2d_453 0.0553 ms 31.5% 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 2025-09-07T10:02:00.6717746Z triton_convolution2d_456 0.0573 ms 30.4% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:02:00.6719278Z triton_convolution2d_450 0.0604 ms 28.8% 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 2025-09-07T10:02:00.6720860Z triton_convolution2d_451 0.0758 ms 23.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:02:00.6722442Z triton_convolution2d_452 0.1167 ms 14.9% 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 2025-09-07T10:02:00.6723707Z SingleProcess AUTOTUNE benchmarking takes 0.1505 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:02:00.9458322Z Autotune Choices Stats: 2025-09-07T10:02:00.9459846Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.016383999958634377, "best_triton_kernel": "triton_mm_480", "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"} 2025-09-07T10:02:00.9476355Z AUTOTUNE mm(1568x416, 416x1024) 2025-09-07T10:02:00.9476713Z strides: [416, 1], [1, 416] 2025-09-07T10:02:00.9477093Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:00.9477557Z mm 0.0164 ms 100.0% 2025-09-07T10:02:00.9478340Z triton_mm_480 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:00.9479610Z triton_mm_483 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:00.9480881Z triton_mm_481 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:00.9482113Z triton_mm_482 0.0174 ms 94.1% 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 2025-09-07T10:02:00.9483391Z triton_mm_484 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:00.9484839Z triton_mm_486 0.0174 ms 94.1% 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 2025-09-07T10:02:00.9486126Z triton_mm_487 0.0174 ms 94.1% 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 2025-09-07T10:02:00.9487417Z triton_mm_488 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:02:00.9488704Z triton_mm_477 0.0205 ms 80.0% 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 2025-09-07T10:02:00.9489812Z SingleProcess AUTOTUNE benchmarking takes 0.2678 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:02:01.0778442Z Autotune Choices Stats: 2025-09-07T10:02:01.0780153Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_convolution2d_493", "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"} 2025-09-07T10:02:01.0796776Z AUTOTUNE convolution(8x512x28x28, 1024x512x1x1) 2025-09-07T10:02:01.0797335Z strides: [401408, 1, 14336, 512], [512, 1, 512, 512] 2025-09-07T10:02:01.0797791Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:01.0798201Z convolution 0.0174 ms 100.0% 2025-09-07T10:02:01.0799128Z triton_convolution2d_493 0.0236 ms 73.9% 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 2025-09-07T10:02:01.0800710Z triton_convolution2d_492 0.0276 ms 63.0% 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 2025-09-07T10:02:01.0802285Z triton_convolution2d_494 0.0287 ms 60.7% 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 2025-09-07T10:02:01.0803848Z triton_convolution2d_495 0.0307 ms 56.7% 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 2025-09-07T10:02:01.0805601Z triton_convolution2d_489 0.0338 ms 51.5% 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 2025-09-07T10:02:01.0807181Z triton_convolution2d_490 0.0379 ms 45.9% 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 2025-09-07T10:02:01.0808749Z triton_convolution2d_491 0.1024 ms 17.0% 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 2025-09-07T10:02:01.0809973Z SingleProcess AUTOTUNE benchmarking takes 0.1290 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:02:01.3556734Z Autotune Choices Stats: 2025-09-07T10:02:01.3558359Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "best_triton_kernel": "triton_mm_507", "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"} 2025-09-07T10:02:01.3576226Z AUTOTUNE mm(1568x1024, 1024x416) 2025-09-07T10:02:01.3576608Z strides: [1024, 1], [1, 1024] 2025-09-07T10:02:01.3577226Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:01.3577570Z mm 0.0174 ms 100.0% 2025-09-07T10:02:01.3578352Z triton_mm_507 0.0195 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 2025-09-07T10:02:01.3579632Z triton_mm_503 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:02:01.3580915Z triton_mm_509 0.0205 ms 85.0% 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 2025-09-07T10:02:01.3582191Z triton_mm_506 0.0215 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:01.3583457Z triton_mm_504 0.0225 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:02:01.3584726Z triton_mm_513 0.0246 ms 70.8% 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 2025-09-07T10:02:01.3585958Z triton_mm_505 0.0256 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:01.3587216Z triton_mm_508 0.0256 ms 68.0% 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 2025-09-07T10:02:01.3588404Z triton_mm_512 0.0256 ms 68.0% 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 2025-09-07T10:02:01.3589428Z SingleProcess AUTOTUNE benchmarking takes 0.2748 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:02:01.5105964Z Autotune Choices Stats: 2025-09-07T10:02:01.5107646Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.035840000957250595, "best_triton_kernel": "triton_convolution2d_518", "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"} 2025-09-07T10:02:01.5127774Z AUTOTUNE convolution(8x104x14x14, 104x104x3x3) 2025-09-07T10:02:01.5128157Z strides: [20384, 1, 1456, 104], [936, 1, 312, 104] 2025-09-07T10:02:01.5128524Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:01.5128849Z convolution 0.0205 ms 100.0% 2025-09-07T10:02:01.5129770Z triton_convolution2d_518 0.0358 ms 57.1% 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 2025-09-07T10:02:01.5131285Z triton_convolution2d_519 0.0440 ms 46.5% 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 2025-09-07T10:02:01.5133078Z triton_convolution2d_517 0.0543 ms 37.7% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:02:01.5134594Z triton_convolution2d_520 0.0553 ms 37.0% 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 2025-09-07T10:02:01.5136314Z triton_convolution2d_514 0.0584 ms 35.1% 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 2025-09-07T10:02:01.5137856Z triton_convolution2d_515 0.0635 ms 32.3% 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 2025-09-07T10:02:01.5139396Z triton_convolution2d_516 0.1075 ms 19.0% 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:02:01.5140611Z SingleProcess AUTOTUNE benchmarking takes 0.1520 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:02:02.1465561Z Autotune Choices Stats: 2025-09-07T10:02:02.1467102Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_1767", "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"} 2025-09-07T10:02:02.1486188Z AUTOTUNE mm(1568x1024, 1024x832) 2025-09-07T10:02:02.1486518Z strides: [1024, 1], [1, 1024] 2025-09-07T10:02:02.1486826Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:02.1487143Z mm 0.0225 ms 100.0% 2025-09-07T10:02:02.1487863Z triton_mm_1767 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:02:02.1489088Z triton_mm_1761 0.0266 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:02.1490302Z triton_mm_1766 0.0266 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 2025-09-07T10:02:02.1491516Z triton_mm_1762 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:02.1492966Z triton_mm_1759 0.0287 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:02.1494168Z triton_mm_1760 0.0297 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 2025-09-07T10:02:02.1495684Z triton_mm_1763 0.0297 ms 75.9% 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 2025-09-07T10:02:02.1496892Z triton_mm_1765 0.0297 ms 75.9% 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 2025-09-07T10:02:02.1498070Z triton_mm_1757 0.0328 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:02:02.1499103Z SingleProcess AUTOTUNE benchmarking takes 0.2999 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:02:02.3331867Z Autotune Choices Stats: 2025-09-07T10:02:02.3333716Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03379200026392937, "best_triton_pos": 1, "best_triton_time": 0.05939200147986412, "best_triton_kernel": "triton_convolution2d_1772", "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"} 2025-09-07T10:02:02.3353685Z AUTOTUNE convolution(8x208x14x14, 208x208x3x3) 2025-09-07T10:02:02.3354384Z strides: [40768, 1, 2912, 208], [1872, 1, 624, 208] 2025-09-07T10:02:02.3354753Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:02.3355061Z convolution 0.0338 ms 100.0% 2025-09-07T10:02:02.3355957Z triton_convolution2d_1772 0.0594 ms 56.9% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:02:02.3357521Z triton_convolution2d_1773 0.0881 ms 38.4% 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 2025-09-07T10:02:02.3359048Z triton_convolution2d_1771 0.0922 ms 36.7% 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 2025-09-07T10:02:02.3360566Z triton_convolution2d_1774 0.0952 ms 35.5% 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 2025-09-07T10:02:02.3362069Z triton_convolution2d_1769 0.1219 ms 27.7% 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 2025-09-07T10:02:02.3363573Z triton_convolution2d_1768 0.1280 ms 26.4% 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 2025-09-07T10:02:02.3365076Z triton_convolution2d_1770 0.1597 ms 21.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:02:02.3366267Z SingleProcess AUTOTUNE benchmarking takes 0.1829 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:02:02.6234707Z Autotune Choices Stats: 2025-09-07T10:02:02.6256784Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.021503999829292297, "best_triton_kernel": "triton_mm_1800", "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"} 2025-09-07T10:02:02.6258499Z AUTOTUNE mm(392x832, 832x2048) 2025-09-07T10:02:02.6258787Z strides: [832, 1], [1, 832] 2025-09-07T10:02:02.6259067Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:02.6259387Z mm 0.0205 ms 100.0% 2025-09-07T10:02:02.6260092Z triton_mm_1800 0.0215 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:02.6261305Z triton_mm_1805 0.0215 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:02.6262517Z triton_mm_1806 0.0215 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:02:02.6263719Z triton_mm_1798 0.0225 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:02.6264919Z triton_mm_1796 0.0236 ms 87.0% 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 2025-09-07T10:02:02.6266102Z triton_mm_1801 0.0246 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:02.6267496Z triton_mm_1799 0.0256 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:02.6268697Z triton_mm_1802 0.0256 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:02.6269905Z triton_mm_1804 0.0256 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:02.6270951Z SingleProcess AUTOTUNE benchmarking takes 0.2779 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:02:02.7752882Z Autotune Choices Stats: 2025-09-07T10:02:02.7754558Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.03686400130391121, "best_triton_kernel": "triton_convolution2d_1811", "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"} 2025-09-07T10:02:02.7773967Z AUTOTUNE convolution(8x1024x14x14, 2048x1024x1x1) 2025-09-07T10:02:02.7774421Z strides: [200704, 1, 14336, 1024], [1024, 1, 1024, 1024] 2025-09-07T10:02:02.7774799Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:02.7775108Z convolution 0.0236 ms 100.0% 2025-09-07T10:02:02.7776036Z triton_convolution2d_1811 0.0369 ms 63.9% 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 2025-09-07T10:02:02.7777552Z triton_convolution2d_1810 0.0461 ms 51.1% 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 2025-09-07T10:02:02.7779067Z triton_convolution2d_1812 0.0471 ms 50.0% 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 2025-09-07T10:02:02.7780564Z triton_convolution2d_1813 0.0492 ms 47.9% 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 2025-09-07T10:02:02.7782364Z triton_convolution2d_1807 0.0553 ms 42.6% 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 2025-09-07T10:02:02.7783871Z triton_convolution2d_1808 0.0614 ms 38.3% 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 2025-09-07T10:02:02.7785379Z triton_convolution2d_1809 0.1556 ms 15.1% 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 2025-09-07T10:02:02.7786547Z SingleProcess AUTOTUNE benchmarking takes 0.1481 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:02:03.0950086Z Autotune Choices Stats: 2025-09-07T10:02:03.0951302Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1822", "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": 0.020479999482631683, "best_triton_pos": 0} 2025-09-07T10:02:03.0971688Z AUTOTUNE mm(392x2048, 2048x832) 2025-09-07T10:02:03.0972003Z strides: [2048, 1], [1, 2048] 2025-09-07T10:02:03.0972295Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:03.0973472Z triton_mm_1822 0.0205 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 2025-09-07T10:02:03.0974243Z mm 0.0215 ms 95.2% 2025-09-07T10:02:03.0974937Z triton_mm_1821 0.0256 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:02:03.0976134Z triton_mm_1818 0.0266 ms 76.9% 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 2025-09-07T10:02:03.0977352Z triton_mm_1825 0.0287 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:03.0978539Z triton_mm_1815 0.0297 ms 69.0% 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 2025-09-07T10:02:03.0979740Z triton_mm_1824 0.0317 ms 64.5% 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 2025-09-07T10:02:03.0980928Z triton_mm_1816 0.0328 ms 62.5% 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 2025-09-07T10:02:03.0982114Z triton_mm_1817 0.0328 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 2025-09-07T10:02:03.0983312Z triton_mm_1827 0.0328 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:03.0984345Z SingleProcess AUTOTUNE benchmarking takes 0.3159 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:02:03.2701740Z Autotune Choices Stats: 2025-09-07T10:02:03.2703450Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03379200026392937, "best_triton_pos": 1, "best_triton_time": 0.060416001826524734, "best_triton_kernel": "triton_convolution2d_1836", "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"} 2025-09-07T10:02:03.2723957Z AUTOTUNE convolution(8x208x7x7, 208x208x3x3) 2025-09-07T10:02:03.2724640Z strides: [10192, 1, 1456, 208], [1872, 1, 624, 208] 2025-09-07T10:02:03.2725011Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:03.2725337Z convolution 0.0338 ms 100.0% 2025-09-07T10:02:03.2726231Z triton_convolution2d_1836 0.0604 ms 55.9% 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 2025-09-07T10:02:03.2727764Z triton_convolution2d_1837 0.0891 ms 37.9% 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 2025-09-07T10:02:03.2729282Z triton_convolution2d_1835 0.0901 ms 37.5% 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 2025-09-07T10:02:03.2730791Z triton_convolution2d_1838 0.0922 ms 36.7% 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 2025-09-07T10:02:03.2732295Z triton_convolution2d_1833 0.1219 ms 27.7% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:02:03.2734192Z triton_convolution2d_1834 0.1239 ms 27.3% 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 2025-09-07T10:02:03.2735701Z triton_convolution2d_1832 0.1280 ms 26.4% 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 2025-09-07T10:02:03.2736869Z SingleProcess AUTOTUNE benchmarking takes 0.1745 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:02:03.6035515Z Autotune Choices Stats: 2025-09-07T10:02:03.6036724Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1932", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:02:03.6060153Z AUTOTUNE addmm(8x1000, 8x2048, 2048x1000) 2025-09-07T10:02:03.6060557Z strides: [0, 1], [2048, 1], [1, 2048] 2025-09-07T10:02:03.6060917Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:02:03.6061746Z triton_mm_1932 0.0133 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 2025-09-07T10:02:03.6062961Z triton_mm_1936 0.0143 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 2025-09-07T10:02:03.6063738Z bias_addmm 0.0184 ms 72.2% 2025-09-07T10:02:03.6064469Z triton_mm_1940 0.0184 ms 72.2% 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 2025-09-07T10:02:03.6065677Z triton_mm_1944 0.0184 ms 72.2% 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=5, num_warps=8 2025-09-07T10:02:03.6066425Z addmm 0.0205 ms 65.0% 2025-09-07T10:02:03.6067118Z triton_mm_1931 0.0205 ms 65.0% 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 2025-09-07T10:02:03.6068302Z triton_mm_1930 0.0215 ms 61.9% 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 2025-09-07T10:02:03.6069880Z triton_mm_1935 0.0215 ms 61.9% 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 2025-09-07T10:02:03.6071069Z triton_mm_1929 0.0225 ms 59.1% 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=2, num_warps=2 2025-09-07T10:02:03.6072110Z SingleProcess AUTOTUNE benchmarking takes 0.3034 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:02:59.2601943Z Autotune Choices Stats: 2025-09-07T10:02:59.2603181Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1964", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:02:59.2625511Z AUTOTUNE mm(1000x8, 8x2048) 2025-09-07T10:02:59.2625854Z strides: [1, 1000], [2048, 1] 2025-09-07T10:02:59.2626160Z dtypes: torch.float16, torch.float16 2025-09-07T10:02:59.2626939Z triton_mm_1964 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:02:59.2628164Z triton_mm_1967 0.0092 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 2025-09-07T10:02:59.2629739Z triton_mm_1968 0.0092 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 2025-09-07T10:02:59.2630946Z triton_mm_1969 0.0092 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 2025-09-07T10:02:59.2632157Z triton_mm_1970 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:59.2633390Z triton_mm_1971 0.0092 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 2025-09-07T10:02:59.2634613Z triton_mm_1972 0.0092 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 2025-09-07T10:02:59.2635831Z triton_mm_1973 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:02:59.2637043Z triton_mm_1974 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:02:59.2638341Z triton_mm_1962 0.0102 ms 90.0% 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 2025-09-07T10:02:59.2639361Z SingleProcess AUTOTUNE benchmarking takes 0.2123 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T10:03:00.1996092Z Autotune Choices Stats: 2025-09-07T10:03:00.1997433Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1949", "best_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", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:03:00.2020348Z AUTOTUNE mm(8x1000, 1000x2048) 2025-09-07T10:03:00.2020713Z strides: [1000, 1], [2048, 1] 2025-09-07T10:03:00.2021018Z dtypes: torch.float16, torch.float16 2025-09-07T10:03:00.2021796Z triton_mm_1949 0.0133 ms 100.0% 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 2025-09-07T10:03:00.2023386Z triton_mm_1953 0.0133 ms 100.0% 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 2025-09-07T10:03:00.2024615Z triton_mm_1957 0.0133 ms 100.0% 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 2025-09-07T10:03:00.2025862Z triton_mm_1961 0.0133 ms 100.0% 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=5, num_warps=8 2025-09-07T10:03:00.2026622Z mm 0.0143 ms 92.9% 2025-09-07T10:03:00.2027324Z triton_mm_1947 0.0143 ms 92.9% 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 2025-09-07T10:03:00.2028524Z triton_mm_1948 0.0154 ms 86.7% 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 2025-09-07T10:03:00.2029725Z triton_mm_1952 0.0154 ms 86.7% 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 2025-09-07T10:03:00.2031082Z triton_mm_1956 0.0154 ms 86.7% 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 2025-09-07T10:03:00.2032293Z triton_mm_1959 0.0164 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=4, num_warps=4 2025-09-07T10:03:00.2033331Z SingleProcess AUTOTUNE benchmarking takes 0.2465 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:03:24.8468437Z pass 2025-09-07T10:03:33.7206970Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:03:33.7208397Z import pynvml # type: ignore[import] 2025-09-07T10:03:36.9917926Z 2025-09-07T10:03:38.5139764Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:03:38.5140158Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:03:38.5140513Z cuda train res2net50_14w_8s 2025-09-07T10:04:41.7370028Z Autotune Choices Stats: 2025-09-07T10:04:41.7371253Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_13", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:04:41.7394519Z AUTOTUNE mm(25088x64, 64x112) 2025-09-07T10:04:41.7394831Z strides: [64, 1], [1, 64] 2025-09-07T10:04:41.7395167Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:41.7395929Z triton_mm_13 0.0143 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 2025-09-07T10:04:41.7397178Z triton_mm_14 0.0143 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 2025-09-07T10:04:41.7398391Z triton_mm_15 0.0143 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 2025-09-07T10:04:41.7399654Z triton_mm_17 0.0143 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 2025-09-07T10:04:41.7401191Z triton_mm_18 0.0143 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 2025-09-07T10:04:41.7402378Z triton_mm_21 0.0143 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=2, num_warps=8 2025-09-07T10:04:41.7403574Z triton_mm_22 0.0143 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 2025-09-07T10:04:41.7404764Z triton_mm_24 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:04:41.7405945Z triton_mm_10 0.0154 ms 93.3% 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 2025-09-07T10:04:41.7407124Z triton_mm_19 0.0154 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 2025-09-07T10:04:41.7408147Z SingleProcess AUTOTUNE benchmarking takes 0.2720 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:04:41.8308700Z Autotune Choices Stats: 2025-09-07T10:04:41.8310302Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_convolution2d_25", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=2, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:04:41.8332606Z AUTOTUNE convolution(8x14x56x56, 14x14x3x3) 2025-09-07T10:04:41.8333089Z strides: [43904, 1, 784, 14], [126, 1, 42, 14] 2025-09-07T10:04:41.8333435Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:41.8334359Z triton_convolution2d_25 0.0133 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=2, num_warps=4 2025-09-07T10:04:41.8335879Z triton_convolution2d_28 0.0133 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, 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=2, num_warps=8 2025-09-07T10:04:41.8337379Z triton_convolution2d_29 0.0154 ms 86.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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=2, num_warps=8 2025-09-07T10:04:41.8338846Z triton_convolution2d_26 0.0164 ms 81.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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=2, num_warps=4 2025-09-07T10:04:41.8339752Z convolution 0.0328 ms 40.6% 2025-09-07T10:04:41.8340639Z triton_convolution2d_27 0.0358 ms 37.1% 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 2025-09-07T10:04:41.8341817Z SingleProcess AUTOTUNE benchmarking takes 0.0932 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:04:42.1194264Z Autotune Choices Stats: 2025-09-07T10:04:42.1195443Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_72", "best_kernel_desc": "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", "best_time": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T10:04:42.1219348Z AUTOTUNE mm(25088x112, 112x256) 2025-09-07T10:04:42.1219677Z strides: [112, 1], [1, 112] 2025-09-07T10:04:42.1219977Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:42.1220784Z triton_mm_72 0.0246 ms 100.0% 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 2025-09-07T10:04:42.1222361Z triton_mm_69 0.0256 ms 96.0% 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 2025-09-07T10:04:42.1223573Z triton_mm_71 0.0256 ms 96.0% 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 2025-09-07T10:04:42.1224766Z triton_mm_75 0.0256 ms 96.0% 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 2025-09-07T10:04:42.1225943Z triton_mm_70 0.0266 ms 92.3% 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=4, num_warps=8 2025-09-07T10:04:42.1227140Z triton_mm_74 0.0266 ms 92.3% 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 2025-09-07T10:04:42.1228340Z triton_mm_76 0.0266 ms 92.3% 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 2025-09-07T10:04:42.1229710Z triton_mm_73 0.0276 ms 88.9% 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 2025-09-07T10:04:42.1238786Z triton_mm_66 0.0287 ms 85.7% 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 2025-09-07T10:04:42.1240002Z triton_mm_67 0.0287 ms 85.7% 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 2025-09-07T10:04:42.1241063Z SingleProcess AUTOTUNE benchmarking takes 0.2837 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:04:42.4022753Z Autotune Choices Stats: 2025-09-07T10:04:42.4023968Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_106", "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": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T10:04:42.4048285Z AUTOTUNE mm(25088x256, 256x112) 2025-09-07T10:04:42.4048638Z strides: [256, 1], [1, 256] 2025-09-07T10:04:42.4048936Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:42.4049707Z triton_mm_106 0.0256 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 2025-09-07T10:04:42.4050917Z triton_mm_108 0.0256 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 2025-09-07T10:04:42.4052140Z triton_mm_112 0.0256 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 2025-09-07T10:04:42.4053576Z triton_mm_113 0.0256 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 2025-09-07T10:04:42.4054342Z mm 0.0276 ms 92.6% 2025-09-07T10:04:42.4055039Z triton_mm_107 0.0276 ms 92.6% 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 2025-09-07T10:04:42.4056344Z triton_mm_109 0.0276 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=3, num_warps=4 2025-09-07T10:04:42.4057822Z triton_mm_111 0.0276 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:04:42.4059009Z triton_mm_104 0.0287 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:04:42.4060200Z triton_mm_110 0.0287 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 2025-09-07T10:04:42.4061244Z SingleProcess AUTOTUNE benchmarking takes 0.2814 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:04:42.7236275Z Autotune Choices Stats: 2025-09-07T10:04:42.7237505Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_255", "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": 0.03174399957060814, "best_triton_pos": 0} 2025-09-07T10:04:42.7262596Z AUTOTUNE mm(25088x256, 256x224) 2025-09-07T10:04:42.7262902Z strides: [256, 1], [1, 256] 2025-09-07T10:04:42.7263216Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:42.7263999Z triton_mm_255 0.0317 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 2025-09-07T10:04:42.7265466Z triton_mm_250 0.0328 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:42.7266673Z triton_mm_254 0.0328 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:42.7267866Z triton_mm_251 0.0338 ms 93.9% 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 2025-09-07T10:04:42.7268610Z mm 0.0348 ms 91.2% 2025-09-07T10:04:42.7269303Z triton_mm_248 0.0348 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:42.7270493Z triton_mm_249 0.0369 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 2025-09-07T10:04:42.7271678Z triton_mm_252 0.0369 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:42.7272866Z triton_mm_253 0.0379 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:04:42.7274060Z triton_mm_246 0.0389 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:04:42.7275085Z SingleProcess AUTOTUNE benchmarking takes 0.3081 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:04:42.8439742Z Autotune Choices Stats: 2025-09-07T10:04:42.8441073Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_261", "best_kernel_desc": "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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:04:42.8466271Z AUTOTUNE convolution(8x28x56x56, 28x28x3x3) 2025-09-07T10:04:42.8466664Z strides: [87808, 1, 1568, 28], [252, 1, 84, 28] 2025-09-07T10:04:42.8467033Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:42.8467953Z triton_convolution2d_261 0.0143 ms 100.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:04:42.8469679Z triton_convolution2d_262 0.0143 ms 100.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:04:42.8471189Z triton_convolution2d_260 0.0154 ms 93.3% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:04:42.8472677Z triton_convolution2d_257 0.0174 ms 82.4% 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 2025-09-07T10:04:42.8474165Z triton_convolution2d_263 0.0184 ms 77.8% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:04:42.8475659Z triton_convolution2d_258 0.0225 ms 63.6% 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 2025-09-07T10:04:42.8476574Z convolution 0.0348 ms 41.2% 2025-09-07T10:04:42.8477703Z triton_convolution2d_259 0.0369 ms 38.9% 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 2025-09-07T10:04:42.8478878Z SingleProcess AUTOTUNE benchmarking takes 0.1197 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:04:43.1226097Z Autotune Choices Stats: 2025-09-07T10:04:43.1227278Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_321", "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": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:04:43.1253185Z AUTOTUNE mm(6272x224, 224x512) 2025-09-07T10:04:43.1253503Z strides: [224, 1], [1, 224] 2025-09-07T10:04:43.1253825Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:43.1254610Z triton_mm_321 0.0174 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 2025-09-07T10:04:43.1255373Z mm 0.0184 ms 94.4% 2025-09-07T10:04:43.1256066Z triton_mm_318 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:43.1257250Z triton_mm_315 0.0195 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=3, num_warps=4 2025-09-07T10:04:43.1258444Z triton_mm_320 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:04:43.1259638Z triton_mm_322 0.0195 ms 89.5% 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 2025-09-07T10:04:43.1260818Z triton_mm_316 0.0205 ms 85.0% 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 2025-09-07T10:04:43.1262003Z triton_mm_317 0.0205 ms 85.0% 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 2025-09-07T10:04:43.1263192Z triton_mm_319 0.0205 ms 85.0% 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 2025-09-07T10:04:43.1264670Z triton_mm_323 0.0225 ms 77.3% 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=5, num_warps=8 2025-09-07T10:04:43.1265709Z SingleProcess AUTOTUNE benchmarking takes 0.2734 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:04:43.4013644Z Autotune Choices Stats: 2025-09-07T10:04:43.4014846Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_342", "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": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:04:43.4041061Z AUTOTUNE mm(6272x512, 512x224) 2025-09-07T10:04:43.4041426Z strides: [512, 1], [1, 512] 2025-09-07T10:04:43.4041747Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:43.4042557Z triton_mm_342 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:43.4043772Z triton_mm_348 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:04:43.4044532Z mm 0.0195 ms 94.7% 2025-09-07T10:04:43.4045567Z triton_mm_347 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:43.4046774Z triton_mm_340 0.0205 ms 90.0% 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 2025-09-07T10:04:43.4047965Z triton_mm_341 0.0205 ms 90.0% 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 2025-09-07T10:04:43.4049146Z triton_mm_343 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:43.4050336Z triton_mm_344 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:43.4051531Z triton_mm_346 0.0215 ms 85.7% 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 2025-09-07T10:04:43.4052955Z triton_mm_338 0.0236 ms 78.3% 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 2025-09-07T10:04:43.4053989Z SingleProcess AUTOTUNE benchmarking takes 0.2750 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:04:43.5227772Z Autotune Choices Stats: 2025-09-07T10:04:43.5229076Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_353", "best_kernel_desc": "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", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:04:43.5255038Z AUTOTUNE convolution(8x28x28x28, 28x28x3x3) 2025-09-07T10:04:43.5255509Z strides: [21952, 1, 784, 28], [252, 1, 84, 28] 2025-09-07T10:04:43.5255856Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:43.5256773Z triton_convolution2d_353 0.0133 ms 100.0% 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 2025-09-07T10:04:43.5258270Z triton_convolution2d_354 0.0133 ms 100.0% 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 2025-09-07T10:04:43.5260021Z triton_convolution2d_352 0.0143 ms 92.9% 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 2025-09-07T10:04:43.5261499Z triton_convolution2d_349 0.0174 ms 76.5% 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 2025-09-07T10:04:43.5262986Z triton_convolution2d_355 0.0195 ms 68.4% 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 2025-09-07T10:04:43.5264480Z triton_convolution2d_350 0.0246 ms 54.2% 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 2025-09-07T10:04:43.5265396Z convolution 0.0307 ms 43.3% 2025-09-07T10:04:43.5266277Z triton_convolution2d_351 0.0399 ms 33.3% 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:04:43.5267635Z SingleProcess AUTOTUNE benchmarking takes 0.1208 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:04:43.8442472Z Autotune Choices Stats: 2025-09-07T10:04:43.8443984Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_602", "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"} 2025-09-07T10:04:43.8471005Z AUTOTUNE mm(6272x512, 512x448) 2025-09-07T10:04:43.8471323Z strides: [512, 1], [1, 512] 2025-09-07T10:04:43.8471604Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:43.8471924Z mm 0.0246 ms 100.0% 2025-09-07T10:04:43.8472643Z triton_mm_602 0.0246 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 2025-09-07T10:04:43.8473875Z triton_mm_601 0.0256 ms 96.0% 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 2025-09-07T10:04:43.8475071Z triton_mm_598 0.0266 ms 92.3% 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 2025-09-07T10:04:43.8476265Z triton_mm_603 0.0287 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:04:43.8477532Z triton_mm_595 0.0297 ms 82.8% 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 2025-09-07T10:04:43.8478721Z triton_mm_596 0.0307 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:43.8479921Z triton_mm_597 0.0307 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:43.8481107Z triton_mm_599 0.0317 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 2025-09-07T10:04:43.8482309Z triton_mm_600 0.0317 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:04:43.8483677Z SingleProcess AUTOTUNE benchmarking takes 0.3010 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:04:43.9745997Z Autotune Choices Stats: 2025-09-07T10:04:43.9747310Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_608", "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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:04:43.9774392Z AUTOTUNE convolution(8x56x28x28, 56x56x3x3) 2025-09-07T10:04:43.9774785Z strides: [43904, 1, 1568, 56], [504, 1, 168, 56] 2025-09-07T10:04:43.9775139Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:43.9776068Z triton_convolution2d_608 0.0215 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:04:43.9777570Z triton_convolution2d_609 0.0215 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:04:43.9779270Z triton_convolution2d_607 0.0246 ms 87.5% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:04:43.9780189Z convolution 0.0276 ms 77.8% 2025-09-07T10:04:43.9781066Z triton_convolution2d_604 0.0317 ms 67.7% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:04:43.9782559Z triton_convolution2d_610 0.0338 ms 63.6% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:04:43.9784067Z triton_convolution2d_605 0.0369 ms 58.3% 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 2025-09-07T10:04:43.9785572Z triton_convolution2d_606 0.0666 ms 32.3% 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 2025-09-07T10:04:43.9786755Z SingleProcess AUTOTUNE benchmarking takes 0.1273 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:04:45.1528158Z Autotune Choices Stats: 2025-09-07T10:04:45.1529377Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_669", "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} 2025-09-07T10:04:45.1557432Z AUTOTUNE mm(1568x448, 448x1024) 2025-09-07T10:04:45.1557749Z strides: [448, 1], [1, 448] 2025-09-07T10:04:45.1558035Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:45.1558831Z triton_mm_669 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 2025-09-07T10:04:45.1559591Z mm 0.0174 ms 94.1% 2025-09-07T10:04:45.1560287Z triton_mm_662 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:45.1561481Z triton_mm_664 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:45.1562924Z triton_mm_670 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:04:45.1564102Z triton_mm_663 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:45.1565297Z triton_mm_665 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:45.1566488Z triton_mm_666 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:45.1567676Z triton_mm_668 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:45.1568858Z triton_mm_660 0.0205 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:04:45.1569877Z SingleProcess AUTOTUNE benchmarking takes 1.1727 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:04:45.4358144Z Autotune Choices Stats: 2025-09-07T10:04:45.4359903Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "best_triton_kernel": "triton_mm_689", "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"} 2025-09-07T10:04:45.4387230Z AUTOTUNE mm(1568x1024, 1024x448) 2025-09-07T10:04:45.4387558Z strides: [1024, 1], [1, 1024] 2025-09-07T10:04:45.4387859Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:45.4388181Z mm 0.0174 ms 100.0% 2025-09-07T10:04:45.4388866Z triton_mm_689 0.0195 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 2025-09-07T10:04:45.4390052Z triton_mm_685 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:04:45.4391235Z triton_mm_688 0.0215 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:45.4392418Z triton_mm_691 0.0215 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:45.4393602Z triton_mm_686 0.0225 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:04:45.4394794Z triton_mm_695 0.0246 ms 70.8% 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 2025-09-07T10:04:45.4395975Z triton_mm_687 0.0256 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:45.4397230Z triton_mm_690 0.0256 ms 68.0% 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 2025-09-07T10:04:45.4398419Z triton_mm_694 0.0256 ms 68.0% 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 2025-09-07T10:04:45.4399454Z SingleProcess AUTOTUNE benchmarking takes 0.2790 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:04:45.5641723Z Autotune Choices Stats: 2025-09-07T10:04:45.5643365Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.015359999611973763, "best_triton_pos": 1, "best_triton_time": 0.020479999482631683, "best_triton_kernel": "triton_convolution2d_700", "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"} 2025-09-07T10:04:45.5672371Z AUTOTUNE convolution(8x56x14x14, 56x56x3x3) 2025-09-07T10:04:45.5672768Z strides: [10976, 1, 784, 56], [504, 1, 168, 56] 2025-09-07T10:04:45.5673106Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:45.5673427Z convolution 0.0154 ms 100.0% 2025-09-07T10:04:45.5674310Z triton_convolution2d_700 0.0205 ms 75.0% 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=4 2025-09-07T10:04:45.5675812Z triton_convolution2d_701 0.0215 ms 71.4% 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 2025-09-07T10:04:45.5677534Z triton_convolution2d_699 0.0236 ms 65.2% 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 2025-09-07T10:04:45.5679030Z triton_convolution2d_696 0.0307 ms 50.0% 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 2025-09-07T10:04:45.5680513Z triton_convolution2d_702 0.0307 ms 50.0% 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 2025-09-07T10:04:45.5682000Z triton_convolution2d_697 0.0379 ms 40.5% 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 2025-09-07T10:04:45.5683508Z triton_convolution2d_698 0.0563 ms 27.3% 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:04:45.5684695Z SingleProcess AUTOTUNE benchmarking takes 0.1255 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:04:45.9898639Z Autotune Choices Stats: 2025-09-07T10:04:45.9900142Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_1120", "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"} 2025-09-07T10:04:45.9928734Z AUTOTUNE mm(1568x1024, 1024x896) 2025-09-07T10:04:45.9929079Z strides: [1024, 1], [1, 1024] 2025-09-07T10:04:45.9929370Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:45.9929684Z mm 0.0225 ms 100.0% 2025-09-07T10:04:45.9930439Z triton_mm_1120 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:04:45.9931651Z triton_mm_1114 0.0256 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 2025-09-07T10:04:45.9933086Z triton_mm_1119 0.0266 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 2025-09-07T10:04:45.9934598Z triton_mm_1115 0.0287 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:45.9935796Z triton_mm_1112 0.0297 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=3, num_warps=4 2025-09-07T10:04:45.9936989Z triton_mm_1113 0.0297 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 2025-09-07T10:04:45.9938187Z triton_mm_1116 0.0297 ms 75.9% 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 2025-09-07T10:04:45.9939393Z triton_mm_1118 0.0297 ms 75.9% 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 2025-09-07T10:04:45.9940595Z triton_mm_1110 0.0338 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:04:45.9941629Z SingleProcess AUTOTUNE benchmarking takes 0.3006 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:04:46.1393841Z Autotune Choices Stats: 2025-09-07T10:04:46.1395810Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_convolution2d_1125", "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"} 2025-09-07T10:04:46.1424547Z AUTOTUNE convolution(8x112x14x14, 112x112x3x3) 2025-09-07T10:04:46.1424967Z strides: [21952, 1, 1568, 112], [1008, 1, 336, 112] 2025-09-07T10:04:46.1425354Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:46.1425676Z convolution 0.0143 ms 100.0% 2025-09-07T10:04:46.1426578Z triton_convolution2d_1125 0.0348 ms 41.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:04:46.1428087Z triton_convolution2d_1126 0.0440 ms 32.6% 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 2025-09-07T10:04:46.1429602Z triton_convolution2d_1124 0.0543 ms 26.4% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:04:46.1431115Z triton_convolution2d_1127 0.0553 ms 25.9% 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 2025-09-07T10:04:46.1432640Z triton_convolution2d_1121 0.0563 ms 25.5% 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 2025-09-07T10:04:46.1434189Z triton_convolution2d_1122 0.0696 ms 20.6% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:04:46.1435693Z triton_convolution2d_1123 0.0942 ms 15.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:04:46.1436876Z SingleProcess AUTOTUNE benchmarking takes 0.1463 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:04:46.4456013Z Autotune Choices Stats: 2025-09-07T10:04:46.4457520Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.02252800017595291, "best_triton_kernel": "triton_mm_1181", "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"} 2025-09-07T10:04:46.4487791Z AUTOTUNE mm(392x896, 896x2048) 2025-09-07T10:04:46.4488159Z strides: [896, 1], [1, 896] 2025-09-07T10:04:46.4488449Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:46.4488766Z mm 0.0215 ms 100.0% 2025-09-07T10:04:46.4489501Z triton_mm_1181 0.0225 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:46.4490720Z triton_mm_1186 0.0225 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:46.4491946Z triton_mm_1187 0.0225 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:04:46.4493373Z triton_mm_1179 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:46.4494911Z triton_mm_1177 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:04:46.4496115Z triton_mm_1182 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:46.4497314Z triton_mm_1178 0.0266 ms 80.8% 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 2025-09-07T10:04:46.4498511Z triton_mm_1180 0.0266 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:46.4499707Z triton_mm_1183 0.0266 ms 80.8% 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 2025-09-07T10:04:46.4500742Z SingleProcess AUTOTUNE benchmarking takes 0.2827 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:04:46.7699395Z Autotune Choices Stats: 2025-09-07T10:04:46.7700579Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1203", "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": 0.020479999482631683, "best_triton_pos": 0} 2025-09-07T10:04:46.7731384Z AUTOTUNE mm(392x2048, 2048x896) 2025-09-07T10:04:46.7731720Z strides: [2048, 1], [1, 2048] 2025-09-07T10:04:46.7732023Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:46.7733074Z triton_mm_1203 0.0205 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 2025-09-07T10:04:46.7733850Z mm 0.0215 ms 95.2% 2025-09-07T10:04:46.7734559Z triton_mm_1202 0.0256 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:04:46.7735763Z triton_mm_1199 0.0276 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 2025-09-07T10:04:46.7736961Z triton_mm_1206 0.0287 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:04:46.7739956Z triton_mm_1196 0.0317 ms 64.5% 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 2025-09-07T10:04:46.7741148Z triton_mm_1197 0.0328 ms 62.5% 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 2025-09-07T10:04:46.7742345Z triton_mm_1198 0.0328 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 2025-09-07T10:04:46.7743549Z triton_mm_1205 0.0328 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:46.7744729Z triton_mm_1208 0.0328 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:04:46.7745765Z SingleProcess AUTOTUNE benchmarking takes 0.3173 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:04:46.9120727Z Autotune Choices Stats: 2025-09-07T10:04:46.9122731Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_convolution2d_1217", "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"} 2025-09-07T10:04:46.9152648Z AUTOTUNE convolution(8x112x7x7, 112x112x3x3) 2025-09-07T10:04:46.9153056Z strides: [5488, 1, 784, 112], [1008, 1, 336, 112] 2025-09-07T10:04:46.9153397Z dtypes: torch.float16, torch.float16 2025-09-07T10:04:46.9153737Z convolution 0.0195 ms 100.0% 2025-09-07T10:04:46.9154628Z triton_convolution2d_1217 0.0348 ms 55.9% 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 2025-09-07T10:04:46.9156132Z triton_convolution2d_1218 0.0430 ms 45.2% 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 2025-09-07T10:04:46.9157716Z triton_convolution2d_1216 0.0532 ms 36.5% 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 2025-09-07T10:04:46.9159233Z triton_convolution2d_1219 0.0543 ms 35.8% 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 2025-09-07T10:04:46.9160745Z triton_convolution2d_1213 0.0563 ms 34.5% 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 2025-09-07T10:04:46.9162241Z triton_convolution2d_1215 0.0676 ms 28.8% 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 2025-09-07T10:04:46.9163762Z triton_convolution2d_1214 0.0686 ms 28.4% 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 2025-09-07T10:04:46.9164952Z SingleProcess AUTOTUNE benchmarking takes 0.1415 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:06:04.5017064Z pass 2025-09-07T10:06:13.8082381Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:06:13.8086808Z import pynvml # type: ignore[import] 2025-09-07T10:06:17.1854437Z 2025-09-07T10:06:18.5478616Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:06:18.5478993Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:06:18.5479322Z cuda train res2next50 2025-09-07T10:06:52.4322267Z Autotune Choices Stats: 2025-09-07T10:06:52.4323642Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_5", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.09011200070381165, "best_triton_pos": 0} 2025-09-07T10:06:52.4354553Z AUTOTUNE convolution(8x3x224x224, 64x3x7x7) 2025-09-07T10:06:52.4354985Z strides: [150528, 50176, 224, 1], [147, 49, 7, 1] 2025-09-07T10:06:52.4355334Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:52.4356252Z triton_convolution2d_5 0.0901 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:06:52.4358215Z triton_convolution2d_1 0.0932 ms 96.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:06:52.4359139Z convolution 0.0973 ms 92.6% 2025-09-07T10:06:52.4360010Z triton_convolution2d_0 0.1208 ms 74.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:06:52.4361494Z triton_convolution2d_3 0.1208 ms 74.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:06:52.4362963Z triton_convolution2d_4 0.1403 ms 64.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:06:52.4364453Z triton_convolution2d_2 0.2243 ms 40.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:06:52.4365628Z SingleProcess AUTOTUNE benchmarking takes 0.1852 seconds and 0.0004 seconds precompiling for 7 choices 2025-09-07T10:06:52.5815989Z Autotune Choices Stats: 2025-09-07T10:06:52.5817325Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_7", "best_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:06:52.5853378Z AUTOTUNE convolution(8x64x56x56, 128x64x1x1) 2025-09-07T10:06:52.5853768Z strides: [200704, 3136, 56, 1], [64, 1, 1, 1] 2025-09-07T10:06:52.5854103Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:52.5855057Z triton_convolution2d_7 0.0154 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:52.5856561Z triton_convolution2d_9 0.0154 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:52.5858062Z triton_convolution2d_12 0.0154 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:52.5859307Z convolution 0.0164 ms 93.7% 2025-09-07T10:06:52.5860186Z triton_convolution2d_10 0.0164 ms 93.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:52.5861667Z triton_convolution2d_11 0.0164 ms 93.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:52.5863143Z triton_convolution2d_6 0.0195 ms 78.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:52.5864611Z triton_convolution2d_8 0.0205 ms 75.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:52.5865520Z conv1x1_via_mm 0.0799 ms 19.2% 2025-09-07T10:06:52.5866085Z SingleProcess AUTOTUNE benchmarking takes 0.1493 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:52.7396280Z Autotune Choices Stats: 2025-09-07T10:06:52.7397985Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_16", "best_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.026623999699950218, "best_triton_pos": 0} 2025-09-07T10:06:52.7430325Z AUTOTUNE convolution(8x128x56x56, 256x128x1x1) 2025-09-07T10:06:52.7430736Z strides: [401408, 3136, 56, 1], [128, 1, 1, 1] 2025-09-07T10:06:52.7431089Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:52.7432037Z triton_convolution2d_16 0.0266 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:52.7433555Z triton_convolution2d_19 0.0276 ms 96.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:52.7435054Z triton_convolution2d_18 0.0287 ms 92.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:52.7436540Z triton_convolution2d_14 0.0307 ms 86.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:52.7438095Z triton_convolution2d_17 0.0317 ms 83.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:52.7439570Z triton_convolution2d_13 0.0369 ms 72.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:52.7441074Z triton_convolution2d_15 0.0399 ms 66.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:52.7441993Z convolution 0.0512 ms 52.0% 2025-09-07T10:06:52.7442295Z conv1x1_via_mm 0.1393 ms 19.1% 2025-09-07T10:06:52.7442865Z SingleProcess AUTOTUNE benchmarking takes 0.1570 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:52.8920090Z Autotune Choices Stats: 2025-09-07T10:06:52.8921423Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_23", "best_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:06:52.8953310Z AUTOTUNE convolution(8x64x56x56, 256x64x1x1) 2025-09-07T10:06:52.8953755Z strides: [200704, 3136, 56, 1], [64, 1, 1, 1] 2025-09-07T10:06:52.8954131Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:52.8955083Z triton_convolution2d_23 0.0215 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:52.8956589Z triton_convolution2d_21 0.0225 ms 95.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:52.8958183Z triton_convolution2d_26 0.0225 ms 95.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:52.8959974Z triton_convolution2d_24 0.0236 ms 91.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:52.8961459Z triton_convolution2d_25 0.0236 ms 91.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:52.8962942Z triton_convolution2d_20 0.0287 ms 75.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:52.8964434Z triton_convolution2d_22 0.0317 ms 67.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:52.8965349Z convolution 0.0338 ms 63.6% 2025-09-07T10:06:52.8965648Z conv1x1_via_mm 0.1270 ms 16.9% 2025-09-07T10:06:52.8966210Z SingleProcess AUTOTUNE benchmarking takes 0.1518 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:53.0527092Z Autotune Choices Stats: 2025-09-07T10:06:53.0528434Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_30", "best_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.026623999699950218, "best_triton_pos": 0} 2025-09-07T10:06:53.0559779Z AUTOTUNE convolution(8x256x56x56, 128x256x1x1) 2025-09-07T10:06:53.0560185Z strides: [802816, 3136, 56, 1], [256, 1, 1, 1] 2025-09-07T10:06:53.0560536Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:53.0561443Z triton_convolution2d_30 0.0266 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.0562948Z triton_convolution2d_33 0.0297 ms 89.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.0564430Z triton_convolution2d_28 0.0317 ms 83.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.0565908Z triton_convolution2d_32 0.0317 ms 83.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.0567611Z triton_convolution2d_31 0.0328 ms 81.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.0569089Z triton_convolution2d_27 0.0369 ms 72.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.0570580Z triton_convolution2d_29 0.0410 ms 65.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:53.0571488Z convolution 0.0563 ms 47.3% 2025-09-07T10:06:53.0571764Z conv1x1_via_mm 0.1434 ms 18.6% 2025-09-07T10:06:53.0572334Z SingleProcess AUTOTUNE benchmarking takes 0.1601 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:53.2276738Z Autotune Choices Stats: 2025-09-07T10:06:53.2278386Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_58", "best_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.04095999896526337, "best_triton_pos": 0} 2025-09-07T10:06:53.2309599Z AUTOTUNE convolution(8x256x56x56, 256x256x1x1) 2025-09-07T10:06:53.2309981Z strides: [802816, 3136, 56, 1], [256, 1, 1, 1] 2025-09-07T10:06:53.2310333Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:53.2311237Z triton_convolution2d_58 0.0410 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.2312763Z triton_convolution2d_61 0.0430 ms 95.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.2314244Z triton_convolution2d_59 0.0471 ms 87.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.2315723Z triton_convolution2d_56 0.0481 ms 85.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.2317265Z triton_convolution2d_55 0.0502 ms 81.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.2318752Z triton_convolution2d_60 0.0563 ms 72.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.2320244Z triton_convolution2d_57 0.0696 ms 58.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:53.2321160Z convolution 0.0737 ms 55.6% 2025-09-07T10:06:53.2321446Z conv1x1_via_mm 0.1874 ms 21.9% 2025-09-07T10:06:53.2322009Z SingleProcess AUTOTUNE benchmarking takes 0.1715 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:53.3863649Z Autotune Choices Stats: 2025-09-07T10:06:53.3864991Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_65", "best_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.023552000522613525, "best_triton_pos": 0} 2025-09-07T10:06:53.3896542Z AUTOTUNE convolution(8x256x28x28, 512x256x1x1) 2025-09-07T10:06:53.3896928Z strides: [200704, 784, 28, 1], [256, 1, 1, 1] 2025-09-07T10:06:53.3897273Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:53.3898194Z triton_convolution2d_65 0.0236 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.3899694Z triton_convolution2d_67 0.0246 ms 95.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.3901180Z triton_convolution2d_68 0.0246 ms 95.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.3902672Z triton_convolution2d_63 0.0276 ms 85.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.3904359Z triton_convolution2d_66 0.0276 ms 85.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.3905845Z triton_convolution2d_62 0.0287 ms 82.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.3906754Z convolution 0.0389 ms 60.5% 2025-09-07T10:06:53.3907624Z triton_convolution2d_64 0.0655 ms 35.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:53.3908547Z conv1x1_via_mm 0.1014 ms 23.2% 2025-09-07T10:06:53.3909116Z SingleProcess AUTOTUNE benchmarking takes 0.1581 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:53.5230662Z Autotune Choices Stats: 2025-09-07T10:06:53.5232010Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_72", "best_kernel_desc": "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", "best_time": 0.028672000393271446, "best_triton_pos": 0} 2025-09-07T10:06:53.5263662Z AUTOTUNE convolution(8x256x56x56, 512x256x1x1) 2025-09-07T10:06:53.5264047Z strides: [802816, 3136, 56, 1], [256, 1, 1, 1] 2025-09-07T10:06:53.5264402Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:53.5265325Z triton_convolution2d_72 0.0287 ms 100.0% 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 2025-09-07T10:06:53.5266831Z triton_convolution2d_69 0.0317 ms 90.3% 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 2025-09-07T10:06:53.5268322Z triton_convolution2d_75 0.0348 ms 82.4% 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 2025-09-07T10:06:53.5269811Z triton_convolution2d_70 0.0369 ms 77.8% 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 2025-09-07T10:06:53.5271291Z triton_convolution2d_74 0.0369 ms 77.8% 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 2025-09-07T10:06:53.5272969Z triton_convolution2d_73 0.0379 ms 75.7% 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 2025-09-07T10:06:53.5273874Z convolution 0.0532 ms 53.8% 2025-09-07T10:06:53.5274763Z triton_convolution2d_71 0.1505 ms 19.0% 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 2025-09-07T10:06:53.5275942Z SingleProcess AUTOTUNE benchmarking takes 0.1361 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:06:53.6927941Z Autotune Choices Stats: 2025-09-07T10:06:53.6929573Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.026623999699950218, "best_triton_kernel": "triton_convolution2d_80", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:06:53.6961175Z AUTOTUNE convolution(8x512x28x28, 256x512x1x1) 2025-09-07T10:06:53.6961624Z strides: [401408, 784, 28, 1], [512, 1, 1, 1] 2025-09-07T10:06:53.6961974Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:53.6962528Z convolution 0.0236 ms 100.0% 2025-09-07T10:06:53.6963417Z triton_convolution2d_80 0.0266 ms 88.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.6964907Z triton_convolution2d_79 0.0328 ms 71.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.6966403Z triton_convolution2d_81 0.0328 ms 71.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.6967886Z triton_convolution2d_82 0.0328 ms 71.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.6969372Z triton_convolution2d_77 0.0399 ms 59.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.6970859Z triton_convolution2d_76 0.0440 ms 53.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.6972360Z triton_convolution2d_78 0.0829 ms 28.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:53.6973492Z conv1x1_via_mm 0.0952 ms 24.7% 2025-09-07T10:06:53.6974052Z SingleProcess AUTOTUNE benchmarking takes 0.1692 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:53.8748353Z Autotune Choices Stats: 2025-09-07T10:06:53.8750029Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03174399957060814, "best_triton_pos": 1, "best_triton_time": 0.035840000957250595, "best_triton_kernel": "triton_convolution2d_121", "best_triton_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:06:53.8781563Z AUTOTUNE convolution(8x512x28x28, 512x512x1x1) 2025-09-07T10:06:53.8781981Z strides: [401408, 784, 28, 1], [512, 1, 1, 1] 2025-09-07T10:06:53.8782331Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:53.8782671Z convolution 0.0317 ms 100.0% 2025-09-07T10:06:53.8783571Z triton_convolution2d_121 0.0358 ms 88.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.8785109Z triton_convolution2d_123 0.0369 ms 86.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.8786614Z triton_convolution2d_124 0.0369 ms 86.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:53.8788104Z triton_convolution2d_122 0.0430 ms 73.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.8789595Z triton_convolution2d_119 0.0440 ms 72.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.8791403Z triton_convolution2d_118 0.0451 ms 70.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:53.8792909Z triton_convolution2d_120 0.1178 ms 27.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:53.8793810Z conv1x1_via_mm 0.1300 ms 24.4% 2025-09-07T10:06:53.8794390Z SingleProcess AUTOTUNE benchmarking takes 0.1728 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:54.0454358Z Autotune Choices Stats: 2025-09-07T10:06:54.0455703Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_129", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.026623999699950218, "best_triton_pos": 0} 2025-09-07T10:06:54.0487844Z AUTOTUNE convolution(8x512x14x14, 1024x512x1x1) 2025-09-07T10:06:54.0488237Z strides: [100352, 196, 14, 1], [512, 1, 1, 1] 2025-09-07T10:06:54.0488572Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:54.0489479Z triton_convolution2d_129 0.0266 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.0490410Z convolution 0.0307 ms 86.7% 2025-09-07T10:06:54.0491289Z triton_convolution2d_130 0.0307 ms 86.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.0493038Z triton_convolution2d_128 0.0328 ms 81.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.0494536Z triton_convolution2d_125 0.0430 ms 61.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.0496017Z triton_convolution2d_126 0.0451 ms 59.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.0497739Z triton_convolution2d_131 0.0532 ms 50.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.0498649Z conv1x1_via_mm 0.0870 ms 30.6% 2025-09-07T10:06:54.0499551Z triton_convolution2d_127 0.0881 ms 30.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:54.0500741Z SingleProcess AUTOTUNE benchmarking takes 0.1688 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:54.1909572Z Autotune Choices Stats: 2025-09-07T10:06:54.1910875Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_136", "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": 0.03276799991726875, "best_triton_pos": 0} 2025-09-07T10:06:54.1943520Z AUTOTUNE convolution(8x512x28x28, 1024x512x1x1) 2025-09-07T10:06:54.1943934Z strides: [401408, 784, 28, 1], [512, 1, 1, 1] 2025-09-07T10:06:54.1944292Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:54.1945466Z triton_convolution2d_136 0.0328 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 2025-09-07T10:06:54.1946985Z triton_convolution2d_137 0.0338 ms 97.0% 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 2025-09-07T10:06:54.1948496Z triton_convolution2d_135 0.0348 ms 94.1% 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 2025-09-07T10:06:54.1949423Z convolution 0.0389 ms 84.2% 2025-09-07T10:06:54.1950301Z triton_convolution2d_132 0.0451 ms 72.7% 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 2025-09-07T10:06:54.1951807Z triton_convolution2d_133 0.0543 ms 60.4% 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 2025-09-07T10:06:54.1953289Z triton_convolution2d_138 0.0543 ms 60.4% 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 2025-09-07T10:06:54.1954785Z triton_convolution2d_134 0.1618 ms 20.3% 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 2025-09-07T10:06:54.1955959Z SingleProcess AUTOTUNE benchmarking takes 0.1450 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:06:54.3742228Z Autotune Choices Stats: 2025-09-07T10:06:54.3743915Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03379200026392937, "best_triton_pos": 1, "best_triton_time": 0.03788800165057182, "best_triton_kernel": "triton_convolution2d_143", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:06:54.3776018Z AUTOTUNE convolution(8x1024x14x14, 512x1024x1x1) 2025-09-07T10:06:54.3776457Z strides: [200704, 196, 14, 1], [1024, 1, 1, 1] 2025-09-07T10:06:54.3776806Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:54.3777406Z convolution 0.0338 ms 100.0% 2025-09-07T10:06:54.3778298Z triton_convolution2d_143 0.0379 ms 89.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.3779794Z triton_convolution2d_144 0.0492 ms 68.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.3781302Z triton_convolution2d_142 0.0532 ms 63.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.3782796Z triton_convolution2d_145 0.0563 ms 60.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.3784296Z triton_convolution2d_139 0.0748 ms 45.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.3785784Z triton_convolution2d_140 0.0758 ms 44.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.3786834Z conv1x1_via_mm 0.0901 ms 37.5% 2025-09-07T10:06:54.3787732Z triton_convolution2d_141 0.1004 ms 33.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:54.3788921Z SingleProcess AUTOTUNE benchmarking takes 0.1827 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:54.5854164Z Autotune Choices Stats: 2025-09-07T10:06:54.5855866Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03993599861860275, "best_triton_pos": 1, "best_triton_time": 0.043007999658584595, "best_triton_kernel": "triton_convolution2d_213", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:06:54.5889841Z AUTOTUNE convolution(8x1024x14x14, 1024x1024x1x1) 2025-09-07T10:06:54.5890283Z strides: [200704, 196, 14, 1], [1024, 1, 1, 1] 2025-09-07T10:06:54.5890622Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:54.5890947Z convolution 0.0399 ms 100.0% 2025-09-07T10:06:54.5891844Z triton_convolution2d_213 0.0430 ms 92.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.5893568Z triton_convolution2d_214 0.0502 ms 79.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.5895095Z triton_convolution2d_212 0.0532 ms 75.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.5896599Z triton_convolution2d_209 0.0758 ms 52.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.5898074Z triton_convolution2d_210 0.0799 ms 50.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.5899569Z triton_convolution2d_215 0.0952 ms 41.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.5900797Z conv1x1_via_mm 0.1260 ms 31.7% 2025-09-07T10:06:54.5901693Z triton_convolution2d_211 0.1649 ms 24.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:54.5902877Z SingleProcess AUTOTUNE benchmarking takes 0.1957 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:54.7761524Z Autotune Choices Stats: 2025-09-07T10:06:54.7763180Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03481600061058998, "best_triton_pos": 1, "best_triton_time": 0.03993599861860275, "best_triton_kernel": "triton_convolution2d_220", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:06:54.7796220Z AUTOTUNE convolution(8x1024x7x7, 2048x1024x1x1) 2025-09-07T10:06:54.7796635Z strides: [50176, 49, 7, 1], [1024, 1, 1, 1] 2025-09-07T10:06:54.7796971Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:54.7797340Z convolution 0.0348 ms 100.0% 2025-09-07T10:06:54.7798514Z triton_convolution2d_220 0.0399 ms 87.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.7800010Z triton_convolution2d_221 0.0512 ms 68.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.7801515Z triton_convolution2d_219 0.0532 ms 65.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.7803028Z triton_convolution2d_222 0.0676 ms 51.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:54.7804522Z triton_convolution2d_216 0.0717 ms 48.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.7806012Z triton_convolution2d_217 0.0881 ms 39.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:54.7806910Z conv1x1_via_mm 0.1065 ms 32.7% 2025-09-07T10:06:54.7807794Z triton_convolution2d_218 0.1157 ms 30.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:54.7808976Z SingleProcess AUTOTUNE benchmarking takes 0.1886 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:06:54.9484106Z Autotune Choices Stats: 2025-09-07T10:06:54.9485752Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03993599861860275, "best_triton_pos": 1, "best_triton_time": 0.04608000069856644, "best_triton_kernel": "triton_convolution2d_227", "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"} 2025-09-07T10:06:54.9517911Z AUTOTUNE convolution(8x1024x14x14, 2048x1024x1x1) 2025-09-07T10:06:54.9518340Z strides: [200704, 196, 14, 1], [1024, 1, 1, 1] 2025-09-07T10:06:54.9518679Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:54.9519356Z convolution 0.0399 ms 100.0% 2025-09-07T10:06:54.9520258Z triton_convolution2d_227 0.0461 ms 86.7% 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 2025-09-07T10:06:54.9521755Z triton_convolution2d_228 0.0553 ms 72.2% 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 2025-09-07T10:06:54.9523275Z triton_convolution2d_226 0.0594 ms 67.2% 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 2025-09-07T10:06:54.9524774Z triton_convolution2d_223 0.0778 ms 51.3% 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 2025-09-07T10:06:54.9526261Z triton_convolution2d_229 0.0819 ms 48.7% 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 2025-09-07T10:06:54.9527758Z triton_convolution2d_224 0.0973 ms 41.1% 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 2025-09-07T10:06:54.9529409Z triton_convolution2d_225 0.2355 ms 17.0% 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 2025-09-07T10:06:54.9530597Z SingleProcess AUTOTUNE benchmarking takes 0.1701 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:06:55.1733203Z Autotune Choices Stats: 2025-09-07T10:06:55.1734849Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03686400130391121, "best_triton_pos": 1, "best_triton_time": 0.0655359998345375, "best_triton_kernel": "triton_convolution2d_234", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:06:55.1766733Z AUTOTUNE convolution(8x2048x7x7, 1024x2048x1x1) 2025-09-07T10:06:55.1767160Z strides: [100352, 49, 7, 1], [2048, 1, 1, 1] 2025-09-07T10:06:55.1767513Z dtypes: torch.float16, torch.float16 2025-09-07T10:06:55.1767838Z convolution 0.0369 ms 100.0% 2025-09-07T10:06:55.1768733Z triton_convolution2d_234 0.0655 ms 56.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:55.1770232Z triton_convolution2d_235 0.0901 ms 40.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:55.1771737Z triton_convolution2d_233 0.0942 ms 39.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:55.1772778Z conv1x1_via_mm 0.1004 ms 36.7% 2025-09-07T10:06:55.1773660Z triton_convolution2d_236 0.1219 ms 30.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:06:55.1775163Z triton_convolution2d_230 0.1331 ms 27.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:55.1776655Z triton_convolution2d_231 0.1567 ms 23.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:06:55.1778440Z triton_convolution2d_232 0.1690 ms 21.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:06:55.1779629Z SingleProcess AUTOTUNE benchmarking takes 0.2229 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:07:37.1044164Z pass 2025-09-07T10:07:43.1066487Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:07:43.1067929Z import pynvml # type: ignore[import] 2025-09-07T10:07:46.5212227Z 2025-09-07T10:07:47.4173824Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:07:47.4174202Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:07:47.4174529Z cuda train resmlp_12_224 2025-09-07T10:08:02.7219393Z Autotune Choices Stats: 2025-09-07T10:08:02.7221373Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "best_triton_kernel": "triton_mm_34", "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"} 2025-09-07T10:08:02.7255534Z AUTOTUNE mm(1568x384, 384x1536) 2025-09-07T10:08:02.7255893Z strides: [384, 1], [1, 384] 2025-09-07T10:08:02.7256193Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:02.7256508Z mm 0.0195 ms 100.0% 2025-09-07T10:08:02.7257227Z triton_mm_34 0.0195 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 2025-09-07T10:08:02.7258457Z triton_mm_36 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:02.7259654Z triton_mm_37 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:02.7260846Z triton_mm_40 0.0205 ms 95.0% 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 2025-09-07T10:08:02.7262029Z triton_mm_35 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:02.7263215Z triton_mm_38 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:02.7264407Z triton_mm_41 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:02.7265596Z triton_mm_32 0.0246 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 2025-09-07T10:08:02.7266763Z triton_mm_39 0.0246 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:08:02.7267794Z SingleProcess AUTOTUNE benchmarking takes 0.2838 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:08:03.5522264Z Autotune Choices Stats: 2025-09-07T10:08:03.5523615Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_4", "best_kernel_desc": "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", "best_time": 0.16076800227165222, "best_triton_pos": 0} 2025-09-07T10:08:03.5559157Z AUTOTUNE convolution(8x3x224x224, 384x3x16x16) 2025-09-07T10:08:03.5559551Z strides: [150528, 50176, 224, 1], [768, 256, 16, 1] 2025-09-07T10:08:03.5559912Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:03.5560877Z triton_convolution2d_4 0.1608 ms 100.0% 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 2025-09-07T10:08:03.5562405Z triton_convolution2d_6 0.1874 ms 85.8% 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 2025-09-07T10:08:03.5563923Z triton_convolution2d_3 0.2038 ms 78.9% 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 2025-09-07T10:08:03.5565443Z triton_convolution2d_1 0.2109 ms 76.2% 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 2025-09-07T10:08:03.5567228Z triton_convolution2d_5 0.2765 ms 58.1% 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=8 2025-09-07T10:08:03.5568738Z triton_convolution2d_0 0.2775 ms 57.9% 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 2025-09-07T10:08:03.5569667Z convolution 0.2796 ms 57.5% 2025-09-07T10:08:03.5570561Z triton_convolution2d_2 0.4915 ms 32.7% 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 2025-09-07T10:08:03.5571756Z SingleProcess AUTOTUNE benchmarking takes 0.2822 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:08:04.2166845Z Autotune Choices Stats: 2025-09-07T10:08:04.2168437Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.02252800017595291, "best_triton_pos": 2, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_mm_648", "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"} 2025-09-07T10:08:04.2203262Z AUTOTUNE addmm(1568x384, 1568x1536, 1536x384) 2025-09-07T10:08:04.2203671Z strides: [0, 1], [1536, 1], [1, 1536] 2025-09-07T10:08:04.2204064Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:08:04.2204425Z bias_addmm 0.0225 ms 100.0% 2025-09-07T10:08:04.2204706Z addmm 0.0256 ms 88.0% 2025-09-07T10:08:04.2205436Z triton_mm_648 0.0256 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 2025-09-07T10:08:04.2206639Z triton_mm_644 0.0266 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:08:04.2207834Z triton_mm_645 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:08:04.2209007Z triton_mm_647 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:04.2210575Z triton_mm_650 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:04.2211760Z triton_mm_641 0.0317 ms 71.0% 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 2025-09-07T10:08:04.2213326Z triton_mm_649 0.0348 ms 64.7% 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 2025-09-07T10:08:04.2214515Z triton_mm_653 0.0348 ms 64.7% 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 2025-09-07T10:08:04.2215550Z SingleProcess AUTOTUNE benchmarking takes 0.3328 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:08:05.7494622Z Autotune Choices Stats: 2025-09-07T10:08:05.7495844Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_16", "best_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", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:08:05.7530717Z AUTOTUNE addmm(3072x196, 3072x196, 196x196) 2025-09-07T10:08:05.7531068Z strides: [0, 1], [196, 1], [1, 196] 2025-09-07T10:08:05.7531830Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:08:05.7532906Z triton_mm_16 0.0133 ms 100.0% 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 2025-09-07T10:08:05.7534115Z triton_mm_17 0.0133 ms 100.0% 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=4, num_warps=8 2025-09-07T10:08:05.7535336Z triton_mm_18 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:05.7536530Z triton_mm_19 0.0133 ms 100.0% 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 2025-09-07T10:08:05.7537739Z triton_mm_20 0.0133 ms 100.0% 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 2025-09-07T10:08:05.7538937Z triton_mm_13 0.0143 ms 92.9% 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 2025-09-07T10:08:05.7540110Z triton_mm_14 0.0154 ms 86.7% 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 2025-09-07T10:08:05.7541303Z triton_mm_22 0.0154 ms 86.7% 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 2025-09-07T10:08:05.7542060Z bias_addmm 0.0174 ms 76.5% 2025-09-07T10:08:05.7542782Z triton_mm_8 0.0174 ms 76.5% 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 2025-09-07T10:08:05.7543819Z SingleProcess AUTOTUNE benchmarking takes 0.2915 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:08:15.4763657Z Autotune Choices Stats: 2025-09-07T10:08:15.4764877Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_659", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:08:15.4801046Z AUTOTUNE addmm(8x1000, 8x384, 384x1000) 2025-09-07T10:08:15.4801407Z strides: [0, 1], [384, 1], [1, 384] 2025-09-07T10:08:15.4801768Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:08:15.4802609Z triton_mm_659 0.0092 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 2025-09-07T10:08:15.4803854Z triton_mm_663 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:08:15.4805084Z triton_mm_656 0.0102 ms 90.0% 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 2025-09-07T10:08:15.4806271Z triton_mm_657 0.0102 ms 90.0% 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 2025-09-07T10:08:15.4807466Z triton_mm_658 0.0102 ms 90.0% 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 2025-09-07T10:08:15.4808651Z triton_mm_662 0.0102 ms 90.0% 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 2025-09-07T10:08:15.4810172Z triton_mm_666 0.0102 ms 90.0% 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 2025-09-07T10:08:15.4811386Z triton_mm_667 0.0102 ms 90.0% 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 2025-09-07T10:08:15.4812578Z triton_mm_669 0.0102 ms 90.0% 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=4, num_warps=4 2025-09-07T10:08:15.4814045Z triton_mm_671 0.0102 ms 90.0% 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=5, num_warps=8 2025-09-07T10:08:15.4815080Z SingleProcess AUTOTUNE benchmarking takes 0.2743 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:08:27.1392021Z Autotune Choices Stats: 2025-09-07T10:08:27.1393546Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "best_triton_kernel": "triton_mm_714", "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"} 2025-09-07T10:08:27.1432404Z AUTOTUNE mm(1568x384, 384x1536) 2025-09-07T10:08:27.1432711Z strides: [384, 1], [1536, 1] 2025-09-07T10:08:27.1433017Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:27.1433335Z mm 0.0195 ms 100.0% 2025-09-07T10:08:27.1434066Z triton_mm_714 0.0195 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 2025-09-07T10:08:27.1435283Z triton_mm_716 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:27.1436498Z triton_mm_717 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:27.1437806Z triton_mm_720 0.0195 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 2025-09-07T10:08:27.1439012Z triton_mm_715 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:27.1440439Z triton_mm_718 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:27.1441641Z triton_mm_721 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:27.1442831Z triton_mm_711 0.0236 ms 82.6% 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 2025-09-07T10:08:27.1443996Z triton_mm_712 0.0246 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 2025-09-07T10:08:27.1445025Z SingleProcess AUTOTUNE benchmarking takes 0.2774 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:08:28.1193748Z Autotune Choices Stats: 2025-09-07T10:08:28.1195262Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_mm_878", "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"} 2025-09-07T10:08:28.1233407Z AUTOTUNE mm(1568x1536, 1536x384) 2025-09-07T10:08:28.1233726Z strides: [1536, 1], [384, 1] 2025-09-07T10:08:28.1234025Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:28.1234332Z mm 0.0215 ms 100.0% 2025-09-07T10:08:28.1235028Z triton_mm_878 0.0236 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:28.1236235Z triton_mm_880 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:28.1237501Z triton_mm_874 0.0266 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:08:28.1238685Z triton_mm_877 0.0266 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:28.1239866Z triton_mm_875 0.0276 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 2025-09-07T10:08:28.1241045Z triton_mm_871 0.0307 ms 70.0% 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 2025-09-07T10:08:28.1242241Z triton_mm_884 0.0328 ms 65.6% 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 2025-09-07T10:08:28.1243424Z triton_mm_876 0.0338 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=3, num_warps=4 2025-09-07T10:08:28.1244600Z triton_mm_868 0.0348 ms 61.8% 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 2025-09-07T10:08:28.1245634Z SingleProcess AUTOTUNE benchmarking takes 0.2903 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:08:29.5693026Z Autotune Choices Stats: 2025-09-07T10:08:29.5694553Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_mm_754", "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=4, num_warps=8"} 2025-09-07T10:08:29.5732045Z AUTOTUNE mm(1536x1568, 1568x384) 2025-09-07T10:08:29.5732388Z strides: [1, 1536], [384, 1] 2025-09-07T10:08:29.5732785Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:29.5733101Z mm 0.0215 ms 100.0% 2025-09-07T10:08:29.5733840Z triton_mm_754 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:29.5735048Z triton_mm_751 0.0266 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:29.5736228Z triton_mm_752 0.0266 ms 80.8% 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 2025-09-07T10:08:29.5737431Z triton_mm_748 0.0276 ms 77.8% 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 2025-09-07T10:08:29.5738627Z triton_mm_745 0.0328 ms 65.6% 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 2025-09-07T10:08:29.5740144Z triton_mm_749 0.0328 ms 65.6% 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 2025-09-07T10:08:29.5741362Z triton_mm_750 0.0328 ms 65.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:29.5742558Z triton_mm_753 0.0328 ms 65.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:29.5743768Z triton_mm_757 0.0348 ms 61.8% 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 2025-09-07T10:08:29.5744805Z SingleProcess AUTOTUNE benchmarking takes 0.2926 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:08:30.2248172Z Autotune Choices Stats: 2025-09-07T10:08:30.2249723Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_mm_734", "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"} 2025-09-07T10:08:30.2290814Z AUTOTUNE mm(384x1568, 1568x1536) 2025-09-07T10:08:30.2291176Z strides: [1, 384], [1536, 1] 2025-09-07T10:08:30.2291493Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:30.2291803Z mm 0.0205 ms 100.0% 2025-09-07T10:08:30.2292535Z triton_mm_734 0.0256 ms 80.0% 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 2025-09-07T10:08:30.2294015Z triton_mm_736 0.0256 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:30.2295228Z triton_mm_733 0.0266 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:08:30.2296425Z triton_mm_730 0.0276 ms 74.1% 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 2025-09-07T10:08:30.2297600Z triton_mm_732 0.0317 ms 64.5% 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 2025-09-07T10:08:30.2299184Z triton_mm_727 0.0328 ms 62.5% 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 2025-09-07T10:08:30.2300408Z triton_mm_731 0.0328 ms 62.5% 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 2025-09-07T10:08:30.2301633Z triton_mm_735 0.0328 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:30.2302865Z triton_mm_739 0.0348 ms 58.8% 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 2025-09-07T10:08:30.2303930Z SingleProcess AUTOTUNE benchmarking takes 0.3129 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:08:30.6503130Z Autotune Choices Stats: 2025-09-07T10:08:30.6504327Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_691", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:08:30.6545085Z AUTOTUNE mm(1000x8, 8x384) 2025-09-07T10:08:30.6545454Z strides: [1, 1000], [384, 1] 2025-09-07T10:08:30.6545757Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:30.6546535Z triton_mm_691 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:08:30.6547766Z triton_mm_697 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:30.6548996Z triton_mm_699 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:08:30.6550199Z triton_mm_689 0.0082 ms 87.5% 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 2025-09-07T10:08:30.6551393Z triton_mm_690 0.0082 ms 87.5% 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 2025-09-07T10:08:30.6552577Z triton_mm_692 0.0082 ms 87.5% 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 2025-09-07T10:08:30.6553775Z triton_mm_693 0.0082 ms 87.5% 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 2025-09-07T10:08:30.6554961Z triton_mm_694 0.0082 ms 87.5% 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=2, num_warps=4 2025-09-07T10:08:30.6556155Z triton_mm_695 0.0082 ms 87.5% 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 2025-09-07T10:08:30.6557442Z triton_mm_696 0.0082 ms 87.5% 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 2025-09-07T10:08:30.6558483Z SingleProcess AUTOTUNE benchmarking takes 0.2218 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:08:31.2432023Z Autotune Choices Stats: 2025-09-07T10:08:31.2433511Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.03788800165057182, "best_triton_kernel": "triton_mm_802", "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"} 2025-09-07T10:08:31.2473888Z AUTOTUNE mm(196x3072, 3072x196) 2025-09-07T10:08:31.2474209Z strides: [1, 196], [196, 1] 2025-09-07T10:08:31.2474508Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:31.2474824Z mm 0.0205 ms 100.0% 2025-09-07T10:08:31.2483199Z triton_mm_802 0.0379 ms 54.1% 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 2025-09-07T10:08:31.2484415Z triton_mm_798 0.0389 ms 52.6% 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 2025-09-07T10:08:31.2485616Z triton_mm_797 0.0410 ms 50.0% 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 2025-09-07T10:08:31.2486835Z triton_mm_796 0.0461 ms 44.4% 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 2025-09-07T10:08:31.2488280Z triton_mm_799 0.0471 ms 43.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:08:31.2489474Z triton_mm_803 0.0502 ms 40.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:08:31.2490652Z triton_mm_805 0.0543 ms 37.7% 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 2025-09-07T10:08:31.2491847Z triton_mm_808 0.0543 ms 37.7% 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 2025-09-07T10:08:31.2493346Z triton_mm_804 0.0573 ms 35.7% 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 2025-09-07T10:08:31.2494378Z SingleProcess AUTOTUNE benchmarking takes 0.3661 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:08:32.5043463Z Autotune Choices Stats: 2025-09-07T10:08:32.5044692Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_676", "best_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", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:08:32.5083054Z AUTOTUNE mm(8x1000, 1000x384) 2025-09-07T10:08:32.5083399Z strides: [1000, 1], [384, 1] 2025-09-07T10:08:32.5083706Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:32.5084501Z triton_mm_676 0.0102 ms 100.0% 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 2025-09-07T10:08:32.5085738Z triton_mm_680 0.0102 ms 100.0% 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 2025-09-07T10:08:32.5086511Z mm 0.0123 ms 83.3% 2025-09-07T10:08:32.5087204Z triton_mm_684 0.0123 ms 83.3% 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 2025-09-07T10:08:32.5088404Z triton_mm_674 0.0133 ms 76.9% 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 2025-09-07T10:08:32.5089865Z triton_mm_675 0.0133 ms 76.9% 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 2025-09-07T10:08:32.5091070Z triton_mm_688 0.0133 ms 76.9% 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 2025-09-07T10:08:32.5092276Z triton_mm_679 0.0143 ms 71.4% 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 2025-09-07T10:08:32.5093729Z triton_mm_673 0.0154 ms 66.7% 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=2, num_warps=2 2025-09-07T10:08:32.5094933Z triton_mm_683 0.0154 ms 66.7% 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 2025-09-07T10:08:32.5095970Z SingleProcess AUTOTUNE benchmarking takes 0.2429 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:08:32.7526650Z Autotune Choices Stats: 2025-09-07T10:08:32.7527827Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_786", "best_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", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:08:32.7567102Z AUTOTUNE mm(3072x196, 196x196) 2025-09-07T10:08:32.7567401Z strides: [196, 1], [196, 1] 2025-09-07T10:08:32.7567688Z dtypes: torch.float16, torch.float16 2025-09-07T10:08:32.7568470Z triton_mm_786 0.0123 ms 100.0% 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 2025-09-07T10:08:32.7569694Z triton_mm_787 0.0123 ms 100.0% 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=4, num_warps=8 2025-09-07T10:08:32.7570929Z triton_mm_788 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:08:32.7572136Z triton_mm_789 0.0123 ms 100.0% 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 2025-09-07T10:08:32.7573568Z triton_mm_790 0.0123 ms 100.0% 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 2025-09-07T10:08:32.7574788Z triton_mm_792 0.0133 ms 92.3% 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 2025-09-07T10:08:32.7575533Z mm 0.0143 ms 85.7% 2025-09-07T10:08:32.7576232Z triton_mm_783 0.0143 ms 85.7% 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 2025-09-07T10:08:32.7577414Z triton_mm_784 0.0143 ms 85.7% 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 2025-09-07T10:08:32.7578620Z triton_mm_777 0.0164 ms 75.0% 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 2025-09-07T10:08:32.7579647Z SingleProcess AUTOTUNE benchmarking takes 0.2456 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:08:37.8517446Z W0907 10:08:37.850000 67843 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:09:02.7492457Z pass 2025-09-07T10:09:08.0601290Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:09:08.0602706Z import pynvml # type: ignore[import] 2025-09-07T10:09:11.4184966Z 2025-09-07T10:09:13.5964001Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:09:13.5964376Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:09:13.5964743Z cuda train resnest101e 2025-09-07T10:10:15.1009452Z Autotune Choices Stats: 2025-09-07T10:10:15.1011131Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.01228800043463707, "best_triton_kernel": "triton_convolution2d_791", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:15.1051968Z AUTOTUNE convolution(8x256x1x1, 1024x256x1x1) 2025-09-07T10:10:15.1052395Z strides: [256, 1, 1, 1], [256, 1, 1, 1] 2025-09-07T10:10:15.1052884Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:15.1053214Z convolution 0.0102 ms 100.0% 2025-09-07T10:10:15.1054498Z triton_convolution2d_791 0.0123 ms 83.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:15.1055422Z conv1x1_via_mm 0.0133 ms 76.9% 2025-09-07T10:10:15.1056312Z triton_convolution2d_790 0.0133 ms 76.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:15.1057791Z triton_convolution2d_789 0.0143 ms 71.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:10:15.1059286Z triton_convolution2d_788 0.0154 ms 66.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:15.1060772Z triton_convolution2d_792 0.0154 ms 66.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:15.1062268Z triton_convolution2d_787 0.0195 ms 52.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:15.1063440Z SingleProcess AUTOTUNE benchmarking takes 0.1420 seconds and 0.0004 seconds precompiling for 8 choices 2025-09-07T10:10:15.6117356Z Autotune Choices Stats: 2025-09-07T10:10:15.6119033Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.009216000325977802, "best_triton_pos": 1, "best_triton_time": 0.009216000325977802, "best_triton_kernel": "triton_convolution2d_206", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1"} 2025-09-07T10:10:15.6158857Z AUTOTUNE convolution(8x128x1x1, 512x128x1x1) 2025-09-07T10:10:15.6159249Z strides: [128, 1, 1, 1], [128, 1, 1, 1] 2025-09-07T10:10:15.6159581Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:15.6159890Z convolution 0.0092 ms 100.0% 2025-09-07T10:10:15.6160791Z triton_convolution2d_206 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:10:15.6162670Z triton_convolution2d_207 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:15.6164185Z triton_convolution2d_208 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:15.6165690Z triton_convolution2d_205 0.0102 ms 90.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:15.6167180Z triton_convolution2d_209 0.0102 ms 90.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:15.6168086Z conv1x1_via_mm 0.0123 ms 75.0% 2025-09-07T10:10:15.6168985Z triton_convolution2d_204 0.0123 ms 75.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:15.6170177Z SingleProcess AUTOTUNE benchmarking takes 0.1376 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:10:16.4491209Z Autotune Choices Stats: 2025-09-07T10:10:16.4493267Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_107", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:10:16.4533441Z AUTOTUNE convolution(8x64x1x1, 256x64x1x1) 2025-09-07T10:10:16.4533864Z strides: [64, 1, 1, 1], [64, 1, 1, 1] 2025-09-07T10:10:16.4534173Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:16.4535109Z triton_convolution2d_107 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:16.4536027Z convolution 0.0082 ms 87.5% 2025-09-07T10:10:16.4536911Z triton_convolution2d_104 0.0082 ms 87.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:16.4538391Z triton_convolution2d_105 0.0082 ms 87.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:10:16.4539878Z triton_convolution2d_106 0.0082 ms 87.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:16.4541357Z triton_convolution2d_108 0.0082 ms 87.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:16.4542854Z triton_convolution2d_103 0.0092 ms 77.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:16.4543776Z conv1x1_via_mm 0.0113 ms 63.6% 2025-09-07T10:10:16.4544348Z SingleProcess AUTOTUNE benchmarking takes 0.1352 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:10:16.9421251Z Autotune Choices Stats: 2025-09-07T10:10:16.9422934Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 2, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_convolution2d_785", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:16.9462641Z AUTOTUNE convolution(8x512x1x1, 256x512x1x1) 2025-09-07T10:10:16.9463002Z strides: [512, 1, 1, 1], [512, 1, 1, 1] 2025-09-07T10:10:16.9463330Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:16.9463637Z convolution 0.0102 ms 100.0% 2025-09-07T10:10:16.9463944Z conv1x1_via_mm 0.0123 ms 83.3% 2025-09-07T10:10:16.9464843Z triton_convolution2d_785 0.0174 ms 58.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:16.9466337Z triton_convolution2d_784 0.0195 ms 52.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:16.9467827Z triton_convolution2d_782 0.0215 ms 47.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:16.9469300Z triton_convolution2d_783 0.0225 ms 45.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:10:16.9470996Z triton_convolution2d_786 0.0225 ms 45.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:16.9472498Z triton_convolution2d_781 0.0307 ms 33.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:16.9473684Z SingleProcess AUTOTUNE benchmarking takes 0.1411 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:10:17.1973395Z Autotune Choices Stats: 2025-09-07T10:10:17.1974725Z {"num_choices": 7, "num_triton_choices": 5, "best_kernel": "triton_convolution2d_30", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:10:17.2015583Z AUTOTUNE convolution(8x32x1x1, 128x32x1x1) 2025-09-07T10:10:17.2015982Z strides: [32, 1, 1, 1], [32, 1, 1, 1] 2025-09-07T10:10:17.2016311Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:17.2017242Z triton_convolution2d_30 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:17.2018760Z triton_convolution2d_31 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:17.2020240Z triton_convolution2d_32 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:10:17.2021732Z triton_convolution2d_33 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:17.2023200Z triton_convolution2d_34 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:17.2024418Z convolution 0.0082 ms 87.5% 2025-09-07T10:10:17.2024714Z conv1x1_via_mm 0.0113 ms 63.6% 2025-09-07T10:10:17.2025276Z SingleProcess AUTOTUNE benchmarking takes 0.1201 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:10:17.6427186Z Autotune Choices Stats: 2025-09-07T10:10:17.6428901Z {"num_choices": 7, "num_triton_choices": 5, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.01228800043463707, "best_triton_kernel": "triton_convolution2d_203", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:17.6468150Z AUTOTUNE convolution(8x256x1x1, 128x256x1x1) 2025-09-07T10:10:17.6468533Z strides: [256, 1, 1, 1], [256, 1, 1, 1] 2025-09-07T10:10:17.6468864Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:17.6469184Z convolution 0.0102 ms 100.0% 2025-09-07T10:10:17.6470089Z triton_convolution2d_203 0.0123 ms 83.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:17.6471568Z triton_convolution2d_201 0.0133 ms 76.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:10:17.6473413Z triton_convolution2d_202 0.0133 ms 76.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:17.6474329Z conv1x1_via_mm 0.0143 ms 71.4% 2025-09-07T10:10:17.6475212Z triton_convolution2d_200 0.0143 ms 71.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:17.6476705Z triton_convolution2d_199 0.0154 ms 66.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:17.6477938Z SingleProcess AUTOTUNE benchmarking takes 0.1227 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:10:18.2481845Z Autotune Choices Stats: 2025-09-07T10:10:18.2483605Z {"num_choices": 5, "num_triton_choices": 3, "best_kernel": "convolution", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.009216000325977802, "best_triton_kernel": "triton_convolution2d_101", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1"} 2025-09-07T10:10:18.2523967Z AUTOTUNE convolution(8x128x1x1, 64x128x1x1) 2025-09-07T10:10:18.2524361Z strides: [128, 1, 1, 1], [128, 1, 1, 1] 2025-09-07T10:10:18.2524692Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:18.2525007Z convolution 0.0082 ms 100.0% 2025-09-07T10:10:18.2525879Z triton_convolution2d_101 0.0092 ms 88.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:10:18.2527377Z triton_convolution2d_102 0.0092 ms 88.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:18.2528854Z triton_convolution2d_100 0.0102 ms 80.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:18.2529761Z conv1x1_via_mm 0.0123 ms 66.7% 2025-09-07T10:10:18.2530329Z SingleProcess AUTOTUNE benchmarking takes 0.0966 seconds and 0.0002 seconds precompiling for 5 choices 2025-09-07T10:10:18.6957574Z Autotune Choices Stats: 2025-09-07T10:10:18.6958918Z {"num_choices": 5, "num_triton_choices": 3, "best_kernel": "triton_convolution2d_28", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:10:18.6997809Z AUTOTUNE convolution(8x64x1x1, 32x64x1x1) 2025-09-07T10:10:18.6998178Z strides: [64, 1, 1, 1], [64, 1, 1, 1] 2025-09-07T10:10:18.6998504Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:18.6999412Z triton_convolution2d_28 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:10:18.7000900Z triton_convolution2d_29 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=2 2025-09-07T10:10:18.7001821Z convolution 0.0082 ms 87.5% 2025-09-07T10:10:18.7002686Z triton_convolution2d_27 0.0082 ms 87.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=2 2025-09-07T10:10:18.7003885Z conv1x1_via_mm 0.0113 ms 63.6% 2025-09-07T10:10:18.7004467Z SingleProcess AUTOTUNE benchmarking takes 0.0971 seconds and 0.0002 seconds precompiling for 5 choices 2025-09-07T10:10:19.6122463Z Autotune Choices Stats: 2025-09-07T10:10:19.6123815Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_5", "best_kernel_desc": "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=8", "best_time": 0.03379200026392937, "best_triton_pos": 0} 2025-09-07T10:10:19.6165333Z AUTOTUNE convolution(8x3x256x256, 64x3x3x3) 2025-09-07T10:10:19.6165796Z strides: [196608, 65536, 256, 1], [27, 9, 3, 1] 2025-09-07T10:10:19.6166150Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:19.6167083Z triton_convolution2d_5 0.0338 ms 100.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:10:19.6168554Z triton_convolution2d_0 0.0369 ms 91.7% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:10:19.6170035Z triton_convolution2d_1 0.0369 ms 91.7% 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 2025-09-07T10:10:19.6171536Z triton_convolution2d_3 0.0389 ms 86.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, 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 2025-09-07T10:10:19.6173235Z triton_convolution2d_4 0.0430 ms 78.6% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:10:19.6174149Z convolution 0.0573 ms 58.9% 2025-09-07T10:10:19.6175028Z triton_convolution2d_2 0.0614 ms 55.0% 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 2025-09-07T10:10:19.6176206Z SingleProcess AUTOTUNE benchmarking takes 0.1183 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:10:19.8544690Z Autotune Choices Stats: 2025-09-07T10:10:19.8546717Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.13414399325847626, "best_triton_pos": 1, "best_triton_time": 0.1525759994983673, "best_triton_kernel": "triton_convolution2d_9", "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"} 2025-09-07T10:10:19.8588017Z AUTOTUNE convolution(8x64x128x128, 64x64x3x3) 2025-09-07T10:10:19.8588433Z strides: [1048576, 16384, 128, 1], [576, 9, 3, 1] 2025-09-07T10:10:19.8588795Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:19.8589104Z convolution 0.1341 ms 100.0% 2025-09-07T10:10:19.8589992Z triton_convolution2d_9 0.1526 ms 87.9% 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 2025-09-07T10:10:19.8591505Z triton_convolution2d_12 0.1536 ms 87.3% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:10:19.8592988Z triton_convolution2d_7 0.1546 ms 86.8% 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 2025-09-07T10:10:19.8594663Z triton_convolution2d_10 0.1772 ms 75.7% 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 2025-09-07T10:10:19.8596150Z triton_convolution2d_6 0.1782 ms 75.3% 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 2025-09-07T10:10:19.8597666Z triton_convolution2d_11 0.1782 ms 75.3% 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 2025-09-07T10:10:19.8599163Z triton_convolution2d_8 0.4475 ms 30.0% 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:10:19.8600344Z SingleProcess AUTOTUNE benchmarking takes 0.2417 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:10:20.1564282Z Autotune Choices Stats: 2025-09-07T10:10:20.1565947Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.19968000054359436, "best_triton_pos": 1, "best_triton_time": 0.26419198513031006, "best_triton_kernel": "triton_convolution2d_14", "best_triton_kernel_desc": "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"} 2025-09-07T10:10:20.1608183Z AUTOTUNE convolution(8x64x128x128, 128x64x3x3) 2025-09-07T10:10:20.1608564Z strides: [1048576, 16384, 128, 1], [576, 9, 3, 1] 2025-09-07T10:10:20.1608925Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:20.1609247Z convolution 0.1997 ms 100.0% 2025-09-07T10:10:20.1610154Z triton_convolution2d_14 0.2642 ms 75.6% 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 2025-09-07T10:10:20.1611662Z triton_convolution2d_16 0.2949 ms 67.7% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:10:20.1613394Z triton_convolution2d_19 0.2959 ms 67.5% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:10:20.1615109Z triton_convolution2d_17 0.3543 ms 56.4% 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=4 2025-09-07T10:10:20.1616591Z triton_convolution2d_13 0.3840 ms 52.0% 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 2025-09-07T10:10:20.1618074Z triton_convolution2d_18 0.4413 ms 45.2% 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 2025-09-07T10:10:20.1619571Z triton_convolution2d_15 0.8776 ms 22.8% 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 2025-09-07T10:10:20.1620758Z SingleProcess AUTOTUNE benchmarking takes 0.2996 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:10:20.3116058Z Autotune Choices Stats: 2025-09-07T10:10:20.3117702Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_20", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:10:20.3158849Z AUTOTUNE convolution(8x128x64x64, 64x128x1x1) 2025-09-07T10:10:20.3159243Z strides: [524288, 4096, 64, 1], [128, 1, 1, 1] 2025-09-07T10:10:20.3159596Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:20.3160506Z triton_convolution2d_20 0.0184 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.3161997Z triton_convolution2d_24 0.0184 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.3163488Z triton_convolution2d_23 0.0195 ms 94.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.3164973Z triton_convolution2d_26 0.0195 ms 94.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.3166455Z triton_convolution2d_21 0.0205 ms 90.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.3167934Z triton_convolution2d_25 0.0215 ms 85.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.3169414Z triton_convolution2d_22 0.0236 ms 78.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:20.3170325Z convolution 0.0266 ms 69.2% 2025-09-07T10:10:20.3170622Z conv1x1_via_mm 0.0983 ms 18.8% 2025-09-07T10:10:20.3171197Z SingleProcess AUTOTUNE benchmarking takes 0.1527 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:10:20.4682398Z Autotune Choices Stats: 2025-09-07T10:10:20.4683722Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_41", "best_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T10:10:20.4724739Z AUTOTUNE convolution(8x64x64x64, 256x64x1x1) 2025-09-07T10:10:20.4725152Z strides: [262144, 4096, 64, 1], [64, 1, 1, 1] 2025-09-07T10:10:20.4725499Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:20.4726431Z triton_convolution2d_41 0.0246 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.4727941Z triton_convolution2d_38 0.0256 ms 96.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.4729442Z triton_convolution2d_36 0.0276 ms 88.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.4730934Z triton_convolution2d_40 0.0276 ms 88.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.4732625Z triton_convolution2d_39 0.0287 ms 85.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.4734379Z triton_convolution2d_35 0.0358 ms 68.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.4735878Z triton_convolution2d_37 0.0379 ms 64.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:20.4736799Z convolution 0.0410 ms 60.0% 2025-09-07T10:10:20.4737095Z conv1x1_via_mm 0.1536 ms 16.0% 2025-09-07T10:10:20.4737666Z SingleProcess AUTOTUNE benchmarking takes 0.1560 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:20.6338241Z Autotune Choices Stats: 2025-09-07T10:10:20.6339614Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_45", "best_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.03379200026392937, "best_triton_pos": 0} 2025-09-07T10:10:20.6381455Z AUTOTUNE convolution(8x128x64x64, 256x128x1x1) 2025-09-07T10:10:20.6381875Z strides: [524288, 4096, 64, 1], [128, 1, 1, 1] 2025-09-07T10:10:20.6382233Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:20.6383144Z triton_convolution2d_45 0.0338 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.6384667Z triton_convolution2d_48 0.0348 ms 97.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.6386153Z triton_convolution2d_46 0.0358 ms 94.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.6387627Z triton_convolution2d_47 0.0369 ms 91.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.6389113Z triton_convolution2d_43 0.0389 ms 86.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.6390875Z triton_convolution2d_42 0.0492 ms 68.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.6392363Z triton_convolution2d_44 0.0502 ms 67.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:20.6393277Z convolution 0.0645 ms 52.4% 2025-09-07T10:10:20.6393558Z conv1x1_via_mm 0.1741 ms 19.4% 2025-09-07T10:10:20.6394127Z SingleProcess AUTOTUNE benchmarking takes 0.1651 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:20.7945381Z Autotune Choices Stats: 2025-09-07T10:10:20.7946704Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_52", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.028672000393271446, "best_triton_pos": 0} 2025-09-07T10:10:20.7994831Z AUTOTUNE convolution(8x256x64x64, 64x256x1x1) 2025-09-07T10:10:20.7995241Z strides: [1048576, 4096, 64, 1], [256, 1, 1, 1] 2025-09-07T10:10:20.7995592Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:20.7996759Z triton_convolution2d_52 0.0287 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.7998342Z triton_convolution2d_53 0.0287 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.7999835Z triton_convolution2d_55 0.0297 ms 96.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.8001325Z triton_convolution2d_50 0.0307 ms 93.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.8002809Z triton_convolution2d_54 0.0338 ms 84.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.8004273Z triton_convolution2d_49 0.0369 ms 77.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.8005758Z triton_convolution2d_51 0.0389 ms 73.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:20.8006667Z convolution 0.0440 ms 65.1% 2025-09-07T10:10:20.8006956Z conv1x1_via_mm 0.1556 ms 18.4% 2025-09-07T10:10:20.8007525Z SingleProcess AUTOTUNE benchmarking takes 0.1607 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:20.9712371Z Autotune Choices Stats: 2025-09-07T10:10:20.9713722Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_98", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.03481600061058998, "best_triton_pos": 0} 2025-09-07T10:10:20.9757313Z AUTOTUNE convolution(8x256x64x64, 128x256x1x1) 2025-09-07T10:10:20.9757943Z strides: [1048576, 4096, 64, 1], [256, 1, 1, 1] 2025-09-07T10:10:20.9758294Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:20.9759204Z triton_convolution2d_98 0.0348 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.9760708Z triton_convolution2d_96 0.0379 ms 91.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.9762202Z triton_convolution2d_97 0.0399 ms 87.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.9763675Z triton_convolution2d_99 0.0399 ms 87.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:20.9765166Z triton_convolution2d_94 0.0440 ms 79.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.9766789Z triton_convolution2d_93 0.0492 ms 70.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:20.9768278Z triton_convolution2d_95 0.0625 ms 55.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:20.9769183Z convolution 0.0737 ms 47.2% 2025-09-07T10:10:20.9769481Z conv1x1_via_mm 0.1792 ms 19.4% 2025-09-07T10:10:20.9770051Z SingleProcess AUTOTUNE benchmarking takes 0.1718 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:21.1296108Z Autotune Choices Stats: 2025-09-07T10:10:21.1297404Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_113", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.020479999482631683, "best_triton_pos": 0} 2025-09-07T10:10:21.1342255Z AUTOTUNE convolution(8x128x32x32, 512x128x1x1) 2025-09-07T10:10:21.1342675Z strides: [131072, 1024, 32, 1], [128, 1, 1, 1] 2025-09-07T10:10:21.1343025Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:21.1343940Z triton_convolution2d_113 0.0205 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.1345439Z triton_convolution2d_112 0.0225 ms 90.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.1346947Z triton_convolution2d_114 0.0225 ms 90.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.1348449Z triton_convolution2d_115 0.0236 ms 87.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.1349926Z triton_convolution2d_110 0.0256 ms 80.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.1351413Z triton_convolution2d_109 0.0266 ms 76.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.1353155Z triton_convolution2d_111 0.0317 ms 64.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:21.1354071Z convolution 0.0369 ms 55.6% 2025-09-07T10:10:21.1354367Z conv1x1_via_mm 0.0942 ms 21.7% 2025-09-07T10:10:21.1354947Z SingleProcess AUTOTUNE benchmarking takes 0.1579 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:21.2964508Z Autotune Choices Stats: 2025-09-07T10:10:21.2965836Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_120", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.028672000393271446, "best_triton_pos": 0} 2025-09-07T10:10:21.3009160Z AUTOTUNE convolution(8x256x32x32, 512x256x1x1) 2025-09-07T10:10:21.3009559Z strides: [262144, 1024, 32, 1], [256, 1, 1, 1] 2025-09-07T10:10:21.3009905Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:21.3010803Z triton_convolution2d_120 0.0287 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.3012563Z triton_convolution2d_119 0.0307 ms 93.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.3014296Z triton_convolution2d_122 0.0338 ms 84.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.3015801Z triton_convolution2d_117 0.0389 ms 73.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.3017291Z triton_convolution2d_116 0.0399 ms 71.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.3018783Z triton_convolution2d_121 0.0410 ms 70.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.3019694Z convolution 0.0461 ms 62.2% 2025-09-07T10:10:21.3020566Z triton_convolution2d_118 0.0563 ms 50.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:21.3021565Z conv1x1_via_mm 0.1208 ms 23.7% 2025-09-07T10:10:21.3022134Z SingleProcess AUTOTUNE benchmarking takes 0.1661 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:21.4632286Z Autotune Choices Stats: 2025-09-07T10:10:21.4633999Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_convolution2d_127", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:21.4680384Z AUTOTUNE convolution(8x512x32x32, 128x512x1x1) 2025-09-07T10:10:21.4680799Z strides: [524288, 1024, 32, 1], [512, 1, 1, 1] 2025-09-07T10:10:21.4681153Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:21.4681485Z convolution 0.0236 ms 100.0% 2025-09-07T10:10:21.4682731Z triton_convolution2d_127 0.0256 ms 92.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.4684242Z triton_convolution2d_128 0.0266 ms 88.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.4685762Z triton_convolution2d_129 0.0317 ms 74.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.4687266Z triton_convolution2d_126 0.0328 ms 71.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.4688776Z triton_convolution2d_123 0.0358 ms 65.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.4690273Z triton_convolution2d_124 0.0389 ms 60.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.4691927Z triton_convolution2d_125 0.0532 ms 44.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:21.4693102Z conv1x1_via_mm 0.0911 ms 25.8% 2025-09-07T10:10:21.4693669Z SingleProcess AUTOTUNE benchmarking takes 0.1665 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:21.6472530Z Autotune Choices Stats: 2025-09-07T10:10:21.6474224Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.027648000046610832, "best_triton_kernel": "triton_convolution2d_196", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:21.6520790Z AUTOTUNE convolution(8x512x32x32, 256x512x1x1) 2025-09-07T10:10:21.6521200Z strides: [524288, 1024, 32, 1], [512, 1, 1, 1] 2025-09-07T10:10:21.6521533Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:21.6521854Z convolution 0.0256 ms 100.0% 2025-09-07T10:10:21.6522738Z triton_convolution2d_196 0.0276 ms 92.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.6524236Z triton_convolution2d_195 0.0338 ms 75.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.6525754Z triton_convolution2d_198 0.0338 ms 75.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.6527251Z triton_convolution2d_193 0.0399 ms 64.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.6528752Z triton_convolution2d_192 0.0451 ms 56.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.6530223Z triton_convolution2d_197 0.0502 ms 51.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.6531955Z triton_convolution2d_194 0.0594 ms 43.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:21.6533079Z conv1x1_via_mm 0.1157 ms 22.1% 2025-09-07T10:10:21.6533658Z SingleProcess AUTOTUNE benchmarking takes 0.1716 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:21.8057818Z Autotune Choices Stats: 2025-09-07T10:10:21.8059148Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_214", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:10:21.8105150Z AUTOTUNE convolution(8x256x16x16, 1024x256x1x1) 2025-09-07T10:10:21.8105563Z strides: [65536, 256, 16, 1], [256, 1, 1, 1] 2025-09-07T10:10:21.8105924Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:21.8106824Z triton_convolution2d_214 0.0174 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.8107737Z convolution 0.0195 ms 89.5% 2025-09-07T10:10:21.8108897Z triton_convolution2d_213 0.0205 ms 85.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.8110403Z triton_convolution2d_216 0.0205 ms 85.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.8111913Z triton_convolution2d_211 0.0236 ms 73.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.8113416Z triton_convolution2d_210 0.0246 ms 70.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.8114915Z triton_convolution2d_215 0.0266 ms 65.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.8116402Z triton_convolution2d_212 0.0338 ms 51.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:21.8117379Z conv1x1_via_mm 0.0788 ms 22.1% 2025-09-07T10:10:21.8117947Z SingleProcess AUTOTUNE benchmarking takes 0.1559 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:21.9765146Z Autotune Choices Stats: 2025-09-07T10:10:21.9766774Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_convolution2d_221", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:21.9815270Z AUTOTUNE convolution(8x512x16x16, 1024x512x1x1) 2025-09-07T10:10:21.9815650Z strides: [131072, 256, 16, 1], [512, 1, 1, 1] 2025-09-07T10:10:21.9815986Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:21.9816307Z convolution 0.0246 ms 100.0% 2025-09-07T10:10:21.9817191Z triton_convolution2d_221 0.0256 ms 96.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.9823145Z triton_convolution2d_223 0.0307 ms 80.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.9824663Z triton_convolution2d_220 0.0317 ms 77.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.9826153Z triton_convolution2d_218 0.0369 ms 66.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.9827640Z triton_convolution2d_217 0.0410 ms 60.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:21.9829147Z triton_convolution2d_222 0.0430 ms 57.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:21.9830785Z triton_convolution2d_219 0.0625 ms 39.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:21.9831707Z conv1x1_via_mm 0.0963 ms 25.5% 2025-09-07T10:10:21.9832281Z SingleProcess AUTOTUNE benchmarking takes 0.1703 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:22.1632551Z Autotune Choices Stats: 2025-09-07T10:10:22.1634199Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_convolution2d_228", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:22.1681025Z AUTOTUNE convolution(8x1024x16x16, 256x1024x1x1) 2025-09-07T10:10:22.1681458Z strides: [262144, 256, 16, 1], [1024, 1, 1, 1] 2025-09-07T10:10:22.1681808Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:22.1682133Z convolution 0.0164 ms 100.0% 2025-09-07T10:10:22.1683014Z triton_convolution2d_228 0.0348 ms 47.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.1684508Z triton_convolution2d_230 0.0471 ms 34.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.1686010Z triton_convolution2d_227 0.0481 ms 34.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.1687508Z triton_convolution2d_229 0.0532 ms 30.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.1688982Z triton_convolution2d_225 0.0604 ms 27.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.1690471Z triton_convolution2d_224 0.0696 ms 23.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.1691612Z conv1x1_via_mm 0.0809 ms 20.3% 2025-09-07T10:10:22.1692511Z triton_convolution2d_226 0.0911 ms 18.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:22.1693956Z SingleProcess AUTOTUNE benchmarking takes 0.1840 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:10:22.4444583Z Autotune Choices Stats: 2025-09-07T10:10:22.4446262Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.027648000046610832, "best_triton_pos": 1, "best_triton_time": 0.03788800165057182, "best_triton_kernel": "triton_convolution2d_778", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:22.4494378Z AUTOTUNE convolution(8x1024x16x16, 512x1024x1x1) 2025-09-07T10:10:22.4494801Z strides: [262144, 256, 16, 1], [1024, 1, 1, 1] 2025-09-07T10:10:22.4495138Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:22.4495461Z convolution 0.0276 ms 100.0% 2025-09-07T10:10:22.4496361Z triton_convolution2d_778 0.0379 ms 73.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.4498238Z triton_convolution2d_777 0.0492 ms 56.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.4499748Z triton_convolution2d_780 0.0492 ms 56.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.4501256Z triton_convolution2d_779 0.0553 ms 50.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.4502742Z triton_convolution2d_775 0.0614 ms 45.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.4504229Z triton_convolution2d_774 0.0696 ms 39.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.4505724Z triton_convolution2d_776 0.0922 ms 30.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:22.4506652Z conv1x1_via_mm 0.1014 ms 27.3% 2025-09-07T10:10:22.4507221Z SingleProcess AUTOTUNE benchmarking takes 0.1848 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:22.6122435Z Autotune Choices Stats: 2025-09-07T10:10:22.6124134Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_convolution2d_797", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:22.6170308Z AUTOTUNE convolution(8x512x8x8, 2048x512x1x1) 2025-09-07T10:10:22.6170658Z strides: [32768, 64, 8, 1], [512, 1, 1, 1] 2025-09-07T10:10:22.6170993Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:22.6171312Z convolution 0.0195 ms 100.0% 2025-09-07T10:10:22.6175119Z triton_convolution2d_797 0.0236 ms 82.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.6176628Z triton_convolution2d_796 0.0276 ms 70.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.6178142Z triton_convolution2d_798 0.0276 ms 70.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.6179620Z triton_convolution2d_799 0.0287 ms 67.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.6181110Z triton_convolution2d_794 0.0358 ms 54.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.6182604Z triton_convolution2d_793 0.0389 ms 50.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.6184268Z triton_convolution2d_795 0.0471 ms 41.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:22.6185184Z conv1x1_via_mm 0.0881 ms 22.1% 2025-09-07T10:10:22.6185762Z SingleProcess AUTOTUNE benchmarking takes 0.1607 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:22.7983735Z Autotune Choices Stats: 2025-09-07T10:10:22.7985403Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.03788800165057182, "best_triton_kernel": "triton_convolution2d_804", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:22.8032759Z AUTOTUNE convolution(8x1024x8x8, 2048x1024x1x1) 2025-09-07T10:10:22.8033139Z strides: [65536, 64, 8, 1], [1024, 1, 1, 1] 2025-09-07T10:10:22.8033495Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:22.8033805Z convolution 0.0256 ms 100.0% 2025-09-07T10:10:22.8034690Z triton_convolution2d_804 0.0379 ms 67.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.8036189Z triton_convolution2d_803 0.0451 ms 56.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.8037785Z triton_convolution2d_806 0.0481 ms 53.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.8039288Z triton_convolution2d_805 0.0522 ms 49.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:22.8040773Z triton_convolution2d_801 0.0625 ms 41.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.8042264Z triton_convolution2d_800 0.0696 ms 36.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:22.8044034Z triton_convolution2d_802 0.0850 ms 30.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:22.8044933Z conv1x1_via_mm 0.1188 ms 21.6% 2025-09-07T10:10:22.8045507Z SingleProcess AUTOTUNE benchmarking takes 0.1832 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:10:23.0177751Z Autotune Choices Stats: 2025-09-07T10:10:23.0179396Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.018432000651955605, "best_triton_pos": 1, "best_triton_time": 0.05734400078654289, "best_triton_kernel": "triton_convolution2d_811", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:10:23.0228893Z AUTOTUNE convolution(8x2048x8x8, 512x2048x1x1) 2025-09-07T10:10:23.0229300Z strides: [131072, 64, 8, 1], [2048, 1, 1, 1] 2025-09-07T10:10:23.0229637Z dtypes: torch.float16, torch.float16 2025-09-07T10:10:23.0229962Z convolution 0.0184 ms 100.0% 2025-09-07T10:10:23.0231188Z triton_convolution2d_811 0.0573 ms 32.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:23.0232120Z conv1x1_via_mm 0.0737 ms 25.0% 2025-09-07T10:10:23.0233024Z triton_convolution2d_810 0.0799 ms 23.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:23.0234521Z triton_convolution2d_813 0.0840 ms 22.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:23.0236025Z triton_convolution2d_812 0.0932 ms 19.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:10:23.0237607Z triton_convolution2d_808 0.1116 ms 16.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:23.0239117Z triton_convolution2d_807 0.1280 ms 14.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:10:23.0240614Z triton_convolution2d_809 0.1526 ms 12.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:10:23.0241807Z SingleProcess AUTOTUNE benchmarking takes 0.2164 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:30.3417394Z pass 2025-09-07T10:11:38.4094647Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:11:38.4096078Z import pynvml # type: ignore[import] 2025-09-07T10:11:41.7075648Z 2025-09-07T10:11:43.1726981Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:11:43.1727367Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:11:43.1727692Z cuda train rexnet_100 2025-09-07T10:12:34.8335153Z Autotune Choices Stats: 2025-09-07T10:12:34.8415599Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.03379200026392937, "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"} 2025-09-07T10:12:34.8417749Z AUTOTUNE convolution(8x3x224x224, 32x3x3x3) 2025-09-07T10:12:34.8418090Z strides: [150528, 1, 672, 3], [27, 1, 9, 3] 2025-09-07T10:12:34.8418438Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:34.8418752Z convolution 0.0205 ms 100.0% 2025-09-07T10:12:34.8419641Z triton_convolution2d_2 0.0338 ms 60.6% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:12:34.8421136Z triton_convolution2d_4 0.0358 ms 57.1% 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=8 2025-09-07T10:12:34.8422597Z triton_convolution2d_0 0.0399 ms 51.3% 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 2025-09-07T10:12:34.8424284Z triton_convolution2d_3 0.0451 ms 45.5% 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 2025-09-07T10:12:34.8425771Z triton_convolution2d_1 0.0492 ms 41.7% 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 2025-09-07T10:12:34.8427258Z triton_convolution2d_5 0.0522 ms 39.2% 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 2025-09-07T10:12:34.8428432Z SingleProcess AUTOTUNE benchmarking takes 0.1436 seconds and 0.0003 seconds precompiling for 7 choices 2025-09-07T10:12:35.0266389Z Autotune Choices Stats: 2025-09-07T10:12:35.0267647Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_7", "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=2, num_warps=2", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:12:35.0318363Z AUTOTUNE mm(100352x32, 32x16) 2025-09-07T10:12:35.0318683Z strides: [32, 1], [1, 32] 2025-09-07T10:12:35.0318991Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:35.0319742Z triton_mm_7 0.0143 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=2, num_warps=2 2025-09-07T10:12:35.0320936Z triton_mm_8 0.0143 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 2025-09-07T10:12:35.0322133Z triton_mm_9 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:35.0323328Z triton_mm_11 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:35.0324502Z triton_mm_12 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:35.0325680Z triton_mm_13 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:12:35.0327156Z triton_mm_14 0.0154 ms 93.3% 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 2025-09-07T10:12:35.0328338Z triton_mm_15 0.0154 ms 93.3% 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 2025-09-07T10:12:35.0329521Z triton_mm_16 0.0154 ms 93.3% 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=2, num_warps=8 2025-09-07T10:12:35.0330699Z triton_mm_17 0.0154 ms 93.3% 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=5, num_warps=8 2025-09-07T10:12:35.0331722Z SingleProcess AUTOTUNE benchmarking takes 0.1927 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:12:35.2746968Z Autotune Choices Stats: 2025-09-07T10:12:35.2748214Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_18", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.02252800017595291, "best_triton_pos": 0} 2025-09-07T10:12:35.2795875Z AUTOTUNE mm(100352x16, 16x96) 2025-09-07T10:12:35.2796206Z strides: [16, 1], [1, 16] 2025-09-07T10:12:35.2796506Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:35.2797663Z triton_mm_18 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:12:35.2798844Z triton_mm_19 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:35.2800029Z triton_mm_21 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:35.2801212Z triton_mm_22 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:35.2802388Z triton_mm_23 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:35.2803563Z triton_mm_25 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:35.2804751Z triton_mm_29 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:35.2805941Z triton_mm_30 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:35.2807135Z triton_mm_31 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:12:35.2808325Z triton_mm_32 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:35.2809363Z SingleProcess AUTOTUNE benchmarking takes 0.2471 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:12:35.5174474Z Autotune Choices Stats: 2025-09-07T10:12:35.5175674Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_40", "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=2, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:12:35.5224879Z AUTOTUNE mm(25088x96, 96x27) 2025-09-07T10:12:35.5225211Z strides: [96, 1], [1, 96] 2025-09-07T10:12:35.5225504Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:35.5226277Z triton_mm_40 0.0143 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=2, num_warps=4 2025-09-07T10:12:35.5227490Z triton_mm_42 0.0143 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 2025-09-07T10:12:35.5228679Z triton_mm_44 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:35.5229856Z triton_mm_45 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:12:35.5231054Z triton_mm_46 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:35.5232236Z triton_mm_48 0.0143 ms 100.0% 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=2, num_warps=8 2025-09-07T10:12:35.5233743Z triton_mm_34 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:12:35.5234928Z triton_mm_35 0.0154 ms 93.3% 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 2025-09-07T10:12:35.5236111Z triton_mm_37 0.0154 ms 93.3% 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 2025-09-07T10:12:35.5237360Z triton_mm_38 0.0154 ms 93.3% 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 2025-09-07T10:12:35.5238384Z SingleProcess AUTOTUNE benchmarking takes 0.2422 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:12:35.7672593Z Autotune Choices Stats: 2025-09-07T10:12:35.7673798Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_57", "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=2, num_warps=4", "best_time": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:12:35.7723192Z AUTOTUNE mm(25088x27, 27x162) 2025-09-07T10:12:35.7723545Z strides: [27, 1], [1, 27] 2025-09-07T10:12:35.7723826Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:35.7724624Z triton_mm_57 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:35.7725822Z triton_mm_59 0.0164 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=5, num_warps=4 2025-09-07T10:12:35.7727017Z triton_mm_58 0.0174 ms 94.1% 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=3, num_warps=8 2025-09-07T10:12:35.7728204Z triton_mm_63 0.0174 ms 94.1% 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=3, num_warps=4 2025-09-07T10:12:35.7729384Z triton_mm_64 0.0174 ms 94.1% 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 2025-09-07T10:12:35.7730881Z triton_mm_66 0.0174 ms 94.1% 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 2025-09-07T10:12:35.7732063Z triton_mm_55 0.0184 ms 88.9% 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=4 2025-09-07T10:12:35.7733808Z triton_mm_56 0.0184 ms 88.9% 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 2025-09-07T10:12:35.7735437Z triton_mm_60 0.0184 ms 88.9% 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 2025-09-07T10:12:35.7737074Z triton_mm_62 0.0184 ms 88.9% 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=4 2025-09-07T10:12:35.7738330Z SingleProcess AUTOTUNE benchmarking takes 0.2492 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:12:36.0485030Z Autotune Choices Stats: 2025-09-07T10:12:36.0486226Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_81", "best_kernel_desc": "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", "best_time": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:12:36.0536441Z AUTOTUNE mm(25088x162, 162x38) 2025-09-07T10:12:36.0536763Z strides: [162, 1], [1, 162] 2025-09-07T10:12:36.0537061Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:36.0537823Z triton_mm_81 0.0215 ms 100.0% 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 2025-09-07T10:12:36.0539051Z triton_mm_83 0.0215 ms 100.0% 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=2, num_warps=8 2025-09-07T10:12:36.0540254Z triton_mm_73 0.0225 ms 95.5% 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=2, num_warps=4 2025-09-07T10:12:36.0541433Z triton_mm_74 0.0225 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=2, num_warps=4 2025-09-07T10:12:36.0542610Z triton_mm_77 0.0225 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 2025-09-07T10:12:36.0543795Z triton_mm_82 0.0225 ms 95.5% 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 2025-09-07T10:12:36.0544977Z triton_mm_84 0.0225 ms 95.5% 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 2025-09-07T10:12:36.0546161Z triton_mm_68 0.0236 ms 91.3% 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 2025-09-07T10:12:36.0547330Z triton_mm_75 0.0236 ms 91.3% 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 2025-09-07T10:12:36.0548507Z triton_mm_78 0.0236 ms 91.3% 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 2025-09-07T10:12:36.0549533Z SingleProcess AUTOTUNE benchmarking takes 0.2807 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:36.3542927Z Autotune Choices Stats: 2025-09-07T10:12:36.3544111Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_97", "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=3, num_warps=4", "best_time": 0.01945599913597107, "best_triton_pos": 0} 2025-09-07T10:12:36.3597532Z AUTOTUNE mm(25088x38, 38x228) 2025-09-07T10:12:36.3597892Z strides: [38, 1], [1, 38] 2025-09-07T10:12:36.3598190Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:36.3599030Z triton_mm_97 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:36.3600229Z triton_mm_98 0.0195 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 2025-09-07T10:12:36.3601424Z triton_mm_94 0.0205 ms 95.0% 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 2025-09-07T10:12:36.3602635Z triton_mm_103 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:36.3603825Z triton_mm_93 0.0215 ms 90.5% 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 2025-09-07T10:12:36.3605391Z triton_mm_104 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:36.3606587Z triton_mm_91 0.0225 ms 86.4% 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 2025-09-07T10:12:36.3607784Z triton_mm_102 0.0225 ms 86.4% 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 2025-09-07T10:12:36.3608534Z mm 0.0236 ms 82.6% 2025-09-07T10:12:36.3609221Z triton_mm_90 0.0236 ms 82.6% 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 2025-09-07T10:12:36.3610240Z SingleProcess AUTOTUNE benchmarking takes 0.3054 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:12:36.5491219Z Autotune Choices Stats: 2025-09-07T10:12:36.5492436Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_107", "best_kernel_desc": "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", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:12:36.5543062Z AUTOTUNE addmm(8x19, 8x228, 228x19) 2025-09-07T10:12:36.5543401Z strides: [0, 1], [228, 1], [1, 228] 2025-09-07T10:12:36.5543758Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:36.5544580Z triton_mm_107 0.0082 ms 100.0% 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 2025-09-07T10:12:36.5545793Z triton_mm_108 0.0082 ms 100.0% 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 2025-09-07T10:12:36.5547012Z triton_mm_111 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=2 2025-09-07T10:12:36.5548213Z triton_mm_113 0.0082 ms 100.0% 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=4, num_warps=2 2025-09-07T10:12:36.5549416Z triton_mm_114 0.0082 ms 100.0% 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=4, num_warps=2 2025-09-07T10:12:36.5550897Z triton_mm_115 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:36.5552100Z triton_mm_106 0.0092 ms 88.9% 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=2, num_warps=2 2025-09-07T10:12:36.5553283Z triton_mm_112 0.0092 ms 88.9% 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=3, num_warps=2 2025-09-07T10:12:36.5554038Z bias_addmm 0.0113 ms 72.7% 2025-09-07T10:12:36.5554764Z triton_mm_110 0.0113 ms 72.7% 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=2, num_warps=2 2025-09-07T10:12:36.5555796Z SingleProcess AUTOTUNE benchmarking takes 0.1939 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:12:36.7759424Z Autotune Choices Stats: 2025-09-07T10:12:36.7760637Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_116", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:12:36.7816634Z AUTOTUNE addmm(8x228, 8x19, 19x228) 2025-09-07T10:12:36.7816965Z strides: [0, 1], [19, 1], [1, 19] 2025-09-07T10:12:36.7817320Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:36.7818128Z triton_mm_116 0.0072 ms 100.0% 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 2025-09-07T10:12:36.7819348Z triton_mm_120 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:36.7820128Z bias_addmm 0.0082 ms 87.5% 2025-09-07T10:12:36.7820852Z triton_mm_117 0.0082 ms 87.5% 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=2, num_warps=2 2025-09-07T10:12:36.7822045Z triton_mm_118 0.0082 ms 87.5% 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 2025-09-07T10:12:36.7823231Z triton_mm_119 0.0082 ms 87.5% 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 2025-09-07T10:12:36.7824423Z triton_mm_121 0.0082 ms 87.5% 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=2, num_warps=4 2025-09-07T10:12:36.7825601Z triton_mm_122 0.0082 ms 87.5% 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=3, num_warps=4 2025-09-07T10:12:36.7826791Z triton_mm_123 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:36.7827998Z triton_mm_124 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:36.7829032Z SingleProcess AUTOTUNE benchmarking takes 0.2265 seconds and 0.0002 seconds precompiling for 15 choices 2025-09-07T10:12:37.0546331Z Autotune Choices Stats: 2025-09-07T10:12:37.0547497Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_138", "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=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:12:37.0603322Z AUTOTUNE mm(6272x228, 228x50) 2025-09-07T10:12:37.0603664Z strides: [228, 1], [1, 228] 2025-09-07T10:12:37.0603966Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:37.0604770Z triton_mm_138 0.0123 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=4 2025-09-07T10:12:37.0606035Z triton_mm_140 0.0123 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 2025-09-07T10:12:37.0607270Z triton_mm_130 0.0133 ms 92.3% 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 2025-09-07T10:12:37.0608477Z triton_mm_136 0.0133 ms 92.3% 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 2025-09-07T10:12:37.0609715Z triton_mm_137 0.0133 ms 92.3% 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 2025-09-07T10:12:37.0611274Z triton_mm_139 0.0133 ms 92.3% 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 2025-09-07T10:12:37.0612518Z triton_mm_141 0.0133 ms 92.3% 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 2025-09-07T10:12:37.0614051Z triton_mm_145 0.0133 ms 92.3% 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 2025-09-07T10:12:37.0615301Z triton_mm_131 0.0143 ms 85.7% 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 2025-09-07T10:12:37.0616515Z triton_mm_132 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:37.0617567Z SingleProcess AUTOTUNE benchmarking takes 0.2778 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:12:37.3484184Z Autotune Choices Stats: 2025-09-07T10:12:37.3485396Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_154", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:12:37.3540850Z AUTOTUNE mm(6272x50, 50x300) 2025-09-07T10:12:37.3541166Z strides: [50, 1], [1, 50] 2025-09-07T10:12:37.3541484Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:37.3542268Z triton_mm_154 0.0123 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 2025-09-07T10:12:37.3543477Z triton_mm_155 0.0123 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 2025-09-07T10:12:37.3544703Z triton_mm_158 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:37.3545920Z triton_mm_159 0.0123 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 2025-09-07T10:12:37.3547108Z triton_mm_151 0.0133 ms 92.3% 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 2025-09-07T10:12:37.3548661Z triton_mm_152 0.0133 ms 92.3% 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=2, num_warps=4 2025-09-07T10:12:37.3549857Z triton_mm_153 0.0133 ms 92.3% 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=2, num_warps=4 2025-09-07T10:12:37.3551072Z triton_mm_164 0.0133 ms 92.3% 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 2025-09-07T10:12:37.3552279Z triton_mm_165 0.0133 ms 92.3% 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=5, num_warps=8 2025-09-07T10:12:37.3553474Z triton_mm_147 0.0143 ms 85.7% 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 2025-09-07T10:12:37.3554510Z SingleProcess AUTOTUNE benchmarking takes 0.2929 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:12:37.5542505Z Autotune Choices Stats: 2025-09-07T10:12:37.5544019Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_176", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:12:37.5596614Z AUTOTUNE addmm(8x25, 8x300, 300x25) 2025-09-07T10:12:37.5596970Z strides: [0, 1], [300, 1], [1, 300] 2025-09-07T10:12:37.5597387Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:37.5598218Z triton_mm_176 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:37.5599431Z triton_mm_167 0.0092 ms 88.9% 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=2, num_warps=2 2025-09-07T10:12:37.5600630Z triton_mm_168 0.0092 ms 88.9% 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 2025-09-07T10:12:37.5601830Z triton_mm_169 0.0092 ms 88.9% 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 2025-09-07T10:12:37.5603017Z triton_mm_172 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=2 2025-09-07T10:12:37.5604199Z triton_mm_174 0.0092 ms 88.9% 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=4, num_warps=2 2025-09-07T10:12:37.5605397Z triton_mm_175 0.0092 ms 88.9% 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=4, num_warps=2 2025-09-07T10:12:37.5606590Z triton_mm_173 0.0102 ms 80.0% 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=3, num_warps=2 2025-09-07T10:12:37.5607336Z bias_addmm 0.0133 ms 61.5% 2025-09-07T10:12:37.5608054Z triton_mm_171 0.0133 ms 61.5% 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=2, num_warps=2 2025-09-07T10:12:37.5609077Z SingleProcess AUTOTUNE benchmarking takes 0.2048 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:12:37.7761685Z Autotune Choices Stats: 2025-09-07T10:12:37.7762880Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_177", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:12:37.7817152Z AUTOTUNE addmm(8x300, 8x25, 25x300) 2025-09-07T10:12:37.7817518Z strides: [0, 1], [25, 1], [1, 25] 2025-09-07T10:12:37.7817860Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:37.7818692Z triton_mm_177 0.0072 ms 100.0% 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 2025-09-07T10:12:37.7819899Z triton_mm_178 0.0082 ms 87.5% 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=2, num_warps=2 2025-09-07T10:12:37.7821092Z triton_mm_179 0.0082 ms 87.5% 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 2025-09-07T10:12:37.7822286Z triton_mm_180 0.0082 ms 87.5% 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 2025-09-07T10:12:37.7823472Z triton_mm_181 0.0082 ms 87.5% 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 2025-09-07T10:12:37.7824832Z triton_mm_182 0.0082 ms 87.5% 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=2, num_warps=4 2025-09-07T10:12:37.7826024Z triton_mm_183 0.0082 ms 87.5% 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=3, num_warps=4 2025-09-07T10:12:37.7827217Z triton_mm_184 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:37.7828421Z triton_mm_185 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:37.7829622Z triton_mm_186 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:12:37.7830662Z SingleProcess AUTOTUNE benchmarking takes 0.2213 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:12:38.0389164Z Autotune Choices Stats: 2025-09-07T10:12:38.0390304Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_197", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:12:38.0444742Z AUTOTUNE mm(6272x300, 300x61) 2025-09-07T10:12:38.0445065Z strides: [300, 1], [1, 300] 2025-09-07T10:12:38.0445384Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:38.0446149Z triton_mm_197 0.0143 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 2025-09-07T10:12:38.0447348Z triton_mm_199 0.0143 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=4 2025-09-07T10:12:38.0448549Z triton_mm_200 0.0143 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=4, num_warps=8 2025-09-07T10:12:38.0449747Z triton_mm_201 0.0143 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 2025-09-07T10:12:38.0451140Z triton_mm_192 0.0154 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 2025-09-07T10:12:38.0452324Z triton_mm_193 0.0154 ms 93.3% 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 2025-09-07T10:12:38.0453765Z triton_mm_204 0.0154 ms 93.3% 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 2025-09-07T10:12:38.0454969Z triton_mm_206 0.0154 ms 93.3% 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 2025-09-07T10:12:38.0456149Z triton_mm_191 0.0164 ms 87.5% 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 2025-09-07T10:12:38.0457346Z triton_mm_198 0.0164 ms 87.5% 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 2025-09-07T10:12:38.0458381Z SingleProcess AUTOTUNE benchmarking takes 0.2621 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:38.3134019Z Autotune Choices Stats: 2025-09-07T10:12:38.3135454Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_213", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:12:38.3188088Z AUTOTUNE mm(6272x61, 61x366) 2025-09-07T10:12:38.3188380Z strides: [61, 1], [1, 61] 2025-09-07T10:12:38.3188675Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:38.3189477Z triton_mm_213 0.0154 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 2025-09-07T10:12:38.3190682Z triton_mm_216 0.0154 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 2025-09-07T10:12:38.3191900Z triton_mm_219 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:38.3193108Z triton_mm_220 0.0154 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 2025-09-07T10:12:38.3202036Z triton_mm_214 0.0164 ms 93.7% 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 2025-09-07T10:12:38.3203400Z triton_mm_215 0.0164 ms 93.7% 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 2025-09-07T10:12:38.3204604Z triton_mm_218 0.0164 ms 93.7% 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 2025-09-07T10:12:38.3205809Z triton_mm_225 0.0164 ms 93.7% 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=3, num_warps=4 2025-09-07T10:12:38.3206578Z mm 0.0174 ms 88.2% 2025-09-07T10:12:38.3207275Z triton_mm_210 0.0174 ms 88.2% 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 2025-09-07T10:12:38.3208308Z SingleProcess AUTOTUNE benchmarking takes 0.2736 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:12:38.5105853Z Autotune Choices Stats: 2025-09-07T10:12:38.5107065Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_230", "best_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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:12:38.5161221Z AUTOTUNE addmm(8x30, 8x366, 366x30) 2025-09-07T10:12:38.5161644Z strides: [0, 1], [366, 1], [1, 366] 2025-09-07T10:12:38.5161990Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:38.5162825Z triton_mm_230 0.0092 ms 100.0% 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 2025-09-07T10:12:38.5164056Z triton_mm_236 0.0092 ms 100.0% 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=4, num_warps=2 2025-09-07T10:12:38.5165281Z triton_mm_237 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:38.5166489Z triton_mm_228 0.0102 ms 90.0% 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=2, num_warps=2 2025-09-07T10:12:38.5167987Z triton_mm_229 0.0102 ms 90.0% 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 2025-09-07T10:12:38.5169189Z triton_mm_233 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=2 2025-09-07T10:12:38.5170365Z triton_mm_235 0.0102 ms 90.0% 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=4, num_warps=2 2025-09-07T10:12:38.5171562Z triton_mm_234 0.0113 ms 81.8% 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=3, num_warps=2 2025-09-07T10:12:38.5172322Z bias_addmm 0.0133 ms 69.2% 2025-09-07T10:12:38.5173272Z triton_mm_232 0.0143 ms 64.3% 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=2, num_warps=2 2025-09-07T10:12:38.5174316Z SingleProcess AUTOTUNE benchmarking takes 0.1966 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:12:38.7305711Z Autotune Choices Stats: 2025-09-07T10:12:38.7306903Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_238", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:12:38.7367447Z AUTOTUNE addmm(8x366, 8x30, 30x366) 2025-09-07T10:12:38.7367830Z strides: [0, 1], [30, 1], [1, 30] 2025-09-07T10:12:38.7368186Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:38.7369005Z triton_mm_238 0.0072 ms 100.0% 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 2025-09-07T10:12:38.7370266Z triton_mm_239 0.0072 ms 100.0% 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=2, num_warps=2 2025-09-07T10:12:38.7371466Z triton_mm_240 0.0072 ms 100.0% 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 2025-09-07T10:12:38.7372905Z triton_mm_241 0.0072 ms 100.0% 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 2025-09-07T10:12:38.7374384Z triton_mm_242 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:38.7375586Z triton_mm_243 0.0072 ms 100.0% 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=2, num_warps=4 2025-09-07T10:12:38.7376791Z triton_mm_244 0.0072 ms 100.0% 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=3, num_warps=4 2025-09-07T10:12:38.7377980Z triton_mm_246 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:38.7379184Z triton_mm_248 0.0072 ms 100.0% 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 2025-09-07T10:12:38.7380392Z triton_mm_249 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:12:38.7381440Z SingleProcess AUTOTUNE benchmarking takes 0.2199 seconds and 0.0002 seconds precompiling for 15 choices 2025-09-07T10:12:38.9953457Z Autotune Choices Stats: 2025-09-07T10:12:38.9956499Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_252", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:12:39.0010096Z AUTOTUNE mm(1568x366, 366x72) 2025-09-07T10:12:39.0010398Z strides: [366, 1], [1, 366] 2025-09-07T10:12:39.0010715Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:39.0011509Z triton_mm_252 0.0123 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 2025-09-07T10:12:39.0012925Z triton_mm_253 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:39.0014141Z triton_mm_254 0.0133 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 2025-09-07T10:12:39.0015334Z triton_mm_255 0.0133 ms 92.3% 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 2025-09-07T10:12:39.0016511Z triton_mm_258 0.0133 ms 92.3% 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 2025-09-07T10:12:39.0017701Z triton_mm_260 0.0154 ms 80.0% 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 2025-09-07T10:12:39.0018898Z triton_mm_263 0.0154 ms 80.0% 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 2025-09-07T10:12:39.0020100Z triton_mm_259 0.0164 ms 75.0% 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 2025-09-07T10:12:39.0021296Z triton_mm_261 0.0164 ms 75.0% 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=4, num_warps=8 2025-09-07T10:12:39.0022493Z triton_mm_262 0.0164 ms 75.0% 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 2025-09-07T10:12:39.0023697Z SingleProcess AUTOTUNE benchmarking takes 0.2636 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:39.2549325Z Autotune Choices Stats: 2025-09-07T10:12:39.2550538Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_281", "best_kernel_desc": "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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:12:39.2607404Z AUTOTUNE mm(1568x72, 72x432) 2025-09-07T10:12:39.2607703Z strides: [72, 1], [1, 72] 2025-09-07T10:12:39.2607990Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:39.2608774Z triton_mm_281 0.0092 ms 100.0% 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 2025-09-07T10:12:39.2609995Z triton_mm_269 0.0102 ms 90.0% 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 2025-09-07T10:12:39.2611188Z triton_mm_270 0.0102 ms 90.0% 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 2025-09-07T10:12:39.2612619Z triton_mm_275 0.0102 ms 90.0% 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 2025-09-07T10:12:39.2614022Z triton_mm_277 0.0102 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 2025-09-07T10:12:39.2615228Z triton_mm_278 0.0102 ms 90.0% 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 2025-09-07T10:12:39.2616429Z triton_mm_279 0.0102 ms 90.0% 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=4, num_warps=8 2025-09-07T10:12:39.2617627Z triton_mm_282 0.0102 ms 90.0% 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 2025-09-07T10:12:39.2618831Z triton_mm_284 0.0102 ms 90.0% 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 2025-09-07T10:12:39.2620024Z triton_mm_273 0.0113 ms 81.8% 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 2025-09-07T10:12:39.2621054Z SingleProcess AUTOTUNE benchmarking takes 0.2590 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:39.4779705Z Autotune Choices Stats: 2025-09-07T10:12:39.4780866Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_289", "best_kernel_desc": "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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:12:39.4838622Z AUTOTUNE addmm(8x36, 8x432, 432x36) 2025-09-07T10:12:39.4838960Z strides: [0, 1], [432, 1], [1, 432] 2025-09-07T10:12:39.4839337Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:39.4840166Z triton_mm_289 0.0092 ms 100.0% 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 2025-09-07T10:12:39.4841367Z triton_mm_290 0.0092 ms 100.0% 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 2025-09-07T10:12:39.4842827Z triton_mm_291 0.0092 ms 100.0% 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 2025-09-07T10:12:39.4844038Z triton_mm_295 0.0092 ms 100.0% 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 2025-09-07T10:12:39.4845259Z triton_mm_298 0.0092 ms 100.0% 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=4, num_warps=4 2025-09-07T10:12:39.4846459Z triton_mm_299 0.0092 ms 100.0% 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=5, num_warps=4 2025-09-07T10:12:39.4847659Z triton_mm_288 0.0102 ms 90.0% 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=2, num_warps=2 2025-09-07T10:12:39.4848855Z triton_mm_294 0.0102 ms 90.0% 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 2025-09-07T10:12:39.4850046Z triton_mm_297 0.0102 ms 90.0% 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 2025-09-07T10:12:39.4851357Z triton_mm_296 0.0113 ms 81.8% 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=3, num_warps=4 2025-09-07T10:12:39.4852393Z SingleProcess AUTOTUNE benchmarking takes 0.2224 seconds and 0.0002 seconds precompiling for 15 choices 2025-09-07T10:12:39.7443947Z Autotune Choices Stats: 2025-09-07T10:12:39.7445157Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_301", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:12:39.7503088Z AUTOTUNE addmm(8x432, 8x36, 36x432) 2025-09-07T10:12:39.7503442Z strides: [0, 1], [36, 1], [1, 36] 2025-09-07T10:12:39.7503790Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:39.7504632Z triton_mm_301 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:12:39.7505825Z triton_mm_303 0.0072 ms 100.0% 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 2025-09-07T10:12:39.7507030Z triton_mm_307 0.0072 ms 100.0% 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 2025-09-07T10:12:39.7508238Z triton_mm_308 0.0072 ms 100.0% 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=5, num_warps=4 2025-09-07T10:12:39.7509431Z triton_mm_314 0.0072 ms 100.0% 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 2025-09-07T10:12:39.7510640Z triton_mm_300 0.0082 ms 87.5% 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 2025-09-07T10:12:39.7511828Z triton_mm_302 0.0082 ms 87.5% 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 2025-09-07T10:12:39.7513008Z triton_mm_304 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:39.7514396Z triton_mm_305 0.0082 ms 87.5% 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 2025-09-07T10:12:39.7515585Z triton_mm_306 0.0082 ms 87.5% 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=2, num_warps=4 2025-09-07T10:12:39.7516620Z SingleProcess AUTOTUNE benchmarking takes 0.2657 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:40.0030720Z Autotune Choices Stats: 2025-09-07T10:12:40.0031895Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_320", "best_kernel_desc": "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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:12:40.0089686Z AUTOTUNE mm(1568x432, 432x84) 2025-09-07T10:12:40.0090027Z strides: [432, 1], [1, 432] 2025-09-07T10:12:40.0090309Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:40.0091077Z triton_mm_320 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:40.0092301Z triton_mm_321 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:40.0093999Z triton_mm_318 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:40.0095198Z triton_mm_319 0.0123 ms 91.7% 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 2025-09-07T10:12:40.0096379Z triton_mm_324 0.0123 ms 91.7% 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 2025-09-07T10:12:40.0097570Z triton_mm_325 0.0123 ms 91.7% 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 2025-09-07T10:12:40.0098776Z triton_mm_328 0.0123 ms 91.7% 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 2025-09-07T10:12:40.0099971Z triton_mm_327 0.0133 ms 84.6% 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 2025-09-07T10:12:40.0101166Z triton_mm_330 0.0133 ms 84.6% 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 2025-09-07T10:12:40.0102365Z triton_mm_326 0.0143 ms 78.6% 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=3, num_warps=4 2025-09-07T10:12:40.0103400Z SingleProcess AUTOTUNE benchmarking takes 0.2580 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:40.2584772Z Autotune Choices Stats: 2025-09-07T10:12:40.2585961Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_341", "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=2, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:12:40.2648820Z AUTOTUNE mm(1568x84, 84x504) 2025-09-07T10:12:40.2649118Z strides: [84, 1], [1, 84] 2025-09-07T10:12:40.2649411Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:40.2650183Z triton_mm_341 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:40.2651691Z triton_mm_344 0.0102 ms 100.0% 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 2025-09-07T10:12:40.2653140Z triton_mm_345 0.0102 ms 100.0% 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=4, num_warps=8 2025-09-07T10:12:40.2654378Z triton_mm_347 0.0102 ms 100.0% 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 2025-09-07T10:12:40.2655580Z triton_mm_348 0.0102 ms 100.0% 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 2025-09-07T10:12:40.2656781Z triton_mm_339 0.0113 ms 90.9% 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 2025-09-07T10:12:40.2657980Z triton_mm_340 0.0113 ms 90.9% 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 2025-09-07T10:12:40.2659166Z triton_mm_343 0.0113 ms 90.9% 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 2025-09-07T10:12:40.2660529Z triton_mm_346 0.0113 ms 90.9% 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 2025-09-07T10:12:40.2661735Z triton_mm_349 0.0113 ms 90.9% 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 2025-09-07T10:12:40.2662783Z SingleProcess AUTOTUNE benchmarking takes 0.2550 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:40.4858856Z Autotune Choices Stats: 2025-09-07T10:12:40.4860050Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_357", "best_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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:12:40.4920758Z AUTOTUNE addmm(8x42, 8x504, 504x42) 2025-09-07T10:12:40.4921153Z strides: [0, 1], [504, 1], [1, 504] 2025-09-07T10:12:40.4921515Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:40.4922348Z triton_mm_357 0.0092 ms 100.0% 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 2025-09-07T10:12:40.4923570Z triton_mm_361 0.0092 ms 100.0% 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 2025-09-07T10:12:40.4924781Z triton_mm_364 0.0092 ms 100.0% 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=4, num_warps=4 2025-09-07T10:12:40.4925985Z triton_mm_365 0.0092 ms 100.0% 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=5, num_warps=4 2025-09-07T10:12:40.4927183Z triton_mm_354 0.0102 ms 90.0% 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=2, num_warps=2 2025-09-07T10:12:40.4928377Z triton_mm_355 0.0102 ms 90.0% 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 2025-09-07T10:12:40.4929560Z triton_mm_356 0.0102 ms 90.0% 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 2025-09-07T10:12:40.4931031Z triton_mm_360 0.0102 ms 90.0% 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 2025-09-07T10:12:40.4932207Z triton_mm_363 0.0113 ms 81.8% 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=4, num_warps=4 2025-09-07T10:12:40.4933633Z triton_mm_362 0.0123 ms 75.0% 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=3, num_warps=4 2025-09-07T10:12:40.4934668Z SingleProcess AUTOTUNE benchmarking takes 0.2264 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:12:40.7548573Z Autotune Choices Stats: 2025-09-07T10:12:40.7549772Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_366", "best_kernel_desc": "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", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:12:40.7610398Z AUTOTUNE addmm(8x504, 8x42, 42x504) 2025-09-07T10:12:40.7610790Z strides: [0, 1], [42, 1], [1, 42] 2025-09-07T10:12:40.7611139Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:40.7612227Z triton_mm_366 0.0082 ms 100.0% 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 2025-09-07T10:12:40.7613679Z triton_mm_367 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:12:40.7614887Z triton_mm_368 0.0082 ms 100.0% 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 2025-09-07T10:12:40.7616103Z triton_mm_369 0.0082 ms 100.0% 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 2025-09-07T10:12:40.7617283Z triton_mm_370 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:40.7618486Z triton_mm_371 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:40.7619687Z triton_mm_372 0.0082 ms 100.0% 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=2, num_warps=4 2025-09-07T10:12:40.7620876Z triton_mm_373 0.0082 ms 100.0% 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 2025-09-07T10:12:40.7622065Z triton_mm_374 0.0082 ms 100.0% 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=5, num_warps=4 2025-09-07T10:12:40.7623264Z triton_mm_375 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:40.7624301Z SingleProcess AUTOTUNE benchmarking takes 0.2682 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:41.0184435Z Autotune Choices Stats: 2025-09-07T10:12:41.0185586Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_386", "best_kernel_desc": "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", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:12:41.0246129Z AUTOTUNE mm(1568x504, 504x95) 2025-09-07T10:12:41.0246456Z strides: [504, 1], [1, 504] 2025-09-07T10:12:41.0246770Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:41.0247538Z triton_mm_386 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:41.0248754Z triton_mm_387 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:41.0249958Z triton_mm_384 0.0133 ms 92.3% 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 2025-09-07T10:12:41.0251155Z triton_mm_390 0.0133 ms 92.3% 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 2025-09-07T10:12:41.0252345Z triton_mm_391 0.0133 ms 92.3% 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 2025-09-07T10:12:41.0253749Z triton_mm_394 0.0143 ms 85.7% 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 2025-09-07T10:12:41.0255150Z triton_mm_385 0.0154 ms 80.0% 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 2025-09-07T10:12:41.0256346Z triton_mm_392 0.0164 ms 75.0% 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 2025-09-07T10:12:41.0257536Z triton_mm_393 0.0164 ms 75.0% 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=4, num_warps=8 2025-09-07T10:12:41.0258724Z triton_mm_396 0.0164 ms 75.0% 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 2025-09-07T10:12:41.0259760Z SingleProcess AUTOTUNE benchmarking takes 0.2629 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:41.3072126Z Autotune Choices Stats: 2025-09-07T10:12:41.3073332Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_407", "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=2, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:12:41.3131828Z AUTOTUNE mm(1568x95, 95x570) 2025-09-07T10:12:41.3132131Z strides: [95, 1], [1, 95] 2025-09-07T10:12:41.3132423Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:41.3133527Z triton_mm_407 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:41.3134752Z triton_mm_403 0.0133 ms 92.3% 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 2025-09-07T10:12:41.3135939Z triton_mm_404 0.0133 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 2025-09-07T10:12:41.3137118Z triton_mm_406 0.0133 ms 92.3% 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=2, num_warps=4 2025-09-07T10:12:41.3138290Z triton_mm_410 0.0133 ms 92.3% 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 2025-09-07T10:12:41.3139771Z triton_mm_413 0.0133 ms 92.3% 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 2025-09-07T10:12:41.3140976Z triton_mm_415 0.0133 ms 92.3% 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 2025-09-07T10:12:41.3142186Z triton_mm_401 0.0143 ms 85.7% 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 2025-09-07T10:12:41.3143372Z triton_mm_409 0.0143 ms 85.7% 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 2025-09-07T10:12:41.3144566Z triton_mm_414 0.0143 ms 85.7% 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 2025-09-07T10:12:41.3145603Z SingleProcess AUTOTUNE benchmarking takes 0.2879 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:41.5338657Z Autotune Choices Stats: 2025-09-07T10:12:41.5339832Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_422", "best_kernel_desc": "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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:12:41.5400421Z AUTOTUNE addmm(8x47, 8x570, 570x47) 2025-09-07T10:12:41.5400743Z strides: [0, 1], [570, 1], [1, 570] 2025-09-07T10:12:41.5401094Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:41.5401927Z triton_mm_422 0.0113 ms 100.0% 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 2025-09-07T10:12:41.5403126Z triton_mm_423 0.0113 ms 100.0% 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 2025-09-07T10:12:41.5404357Z triton_mm_420 0.0123 ms 91.7% 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=2, num_warps=2 2025-09-07T10:12:41.5405534Z triton_mm_421 0.0123 ms 91.7% 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 2025-09-07T10:12:41.5406712Z triton_mm_429 0.0123 ms 91.7% 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 2025-09-07T10:12:41.5407890Z triton_mm_426 0.0133 ms 84.6% 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 2025-09-07T10:12:41.5409073Z triton_mm_431 0.0133 ms 84.6% 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=5, num_warps=4 2025-09-07T10:12:41.5410246Z triton_mm_428 0.0143 ms 78.6% 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=3, num_warps=4 2025-09-07T10:12:41.5411436Z triton_mm_430 0.0143 ms 78.6% 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=4, num_warps=4 2025-09-07T10:12:41.5412629Z triton_mm_427 0.0154 ms 73.3% 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 2025-09-07T10:12:41.5413887Z SingleProcess AUTOTUNE benchmarking takes 0.2261 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:12:41.8007281Z Autotune Choices Stats: 2025-09-07T10:12:41.8009055Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "bias_addmm", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_mm_432", "best_triton_kernel_desc": "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"} 2025-09-07T10:12:41.8071263Z AUTOTUNE addmm(8x570, 8x47, 47x570) 2025-09-07T10:12:41.8071604Z strides: [0, 1], [47, 1], [1, 47] 2025-09-07T10:12:41.8071953Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:41.8072319Z bias_addmm 0.0082 ms 100.0% 2025-09-07T10:12:41.8073065Z triton_mm_432 0.0082 ms 100.0% 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 2025-09-07T10:12:41.8074272Z triton_mm_435 0.0082 ms 100.0% 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 2025-09-07T10:12:41.8075476Z triton_mm_437 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:41.8076652Z triton_mm_439 0.0082 ms 100.0% 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 2025-09-07T10:12:41.8078075Z triton_mm_440 0.0082 ms 100.0% 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=5, num_warps=4 2025-09-07T10:12:41.8079270Z triton_mm_433 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:12:41.8080449Z triton_mm_436 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:41.8081641Z triton_mm_441 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:41.8082832Z triton_mm_442 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:41.8083869Z SingleProcess AUTOTUNE benchmarking takes 0.2664 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:42.0764921Z Autotune Choices Stats: 2025-09-07T10:12:42.0766112Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_452", "best_kernel_desc": "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", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:12:42.0828024Z AUTOTUNE mm(1568x570, 570x106) 2025-09-07T10:12:42.0828389Z strides: [570, 1], [1, 570] 2025-09-07T10:12:42.0828688Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:42.0829477Z triton_mm_452 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:42.0830700Z triton_mm_450 0.0143 ms 92.9% 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 2025-09-07T10:12:42.0831902Z triton_mm_451 0.0143 ms 92.9% 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 2025-09-07T10:12:42.0833096Z triton_mm_453 0.0154 ms 86.7% 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 2025-09-07T10:12:42.0834617Z triton_mm_456 0.0154 ms 86.7% 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 2025-09-07T10:12:42.0835805Z triton_mm_458 0.0205 ms 65.0% 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 2025-09-07T10:12:42.0837006Z triton_mm_459 0.0205 ms 65.0% 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=4, num_warps=8 2025-09-07T10:12:42.0838309Z triton_mm_461 0.0205 ms 65.0% 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 2025-09-07T10:12:42.0839492Z triton_mm_462 0.0205 ms 65.0% 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 2025-09-07T10:12:42.0840698Z triton_mm_460 0.0215 ms 61.9% 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 2025-09-07T10:12:42.0841736Z SingleProcess AUTOTUNE benchmarking takes 0.2737 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:42.3347465Z Autotune Choices Stats: 2025-09-07T10:12:42.3353043Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_471", "best_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", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:12:42.3411289Z AUTOTUNE mm(1568x106, 106x636) 2025-09-07T10:12:42.3411622Z strides: [106, 1], [1, 106] 2025-09-07T10:12:42.3411906Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:42.3412944Z triton_mm_471 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:42.3414188Z triton_mm_475 0.0123 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 2025-09-07T10:12:42.3415415Z triton_mm_468 0.0133 ms 92.3% 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 2025-09-07T10:12:42.3416612Z triton_mm_472 0.0133 ms 92.3% 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=2, num_warps=4 2025-09-07T10:12:42.3417798Z triton_mm_473 0.0133 ms 92.3% 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=2, num_warps=4 2025-09-07T10:12:42.3418972Z triton_mm_476 0.0133 ms 92.3% 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 2025-09-07T10:12:42.3420176Z triton_mm_481 0.0133 ms 92.3% 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 2025-09-07T10:12:42.3421374Z triton_mm_467 0.0143 ms 85.7% 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 2025-09-07T10:12:42.3422570Z triton_mm_477 0.0143 ms 85.7% 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 2025-09-07T10:12:42.3423759Z triton_mm_478 0.0143 ms 85.7% 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 2025-09-07T10:12:42.3425074Z SingleProcess AUTOTUNE benchmarking takes 0.2576 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:42.5615192Z Autotune Choices Stats: 2025-09-07T10:12:42.5616396Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_489", "best_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", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:12:42.5679127Z AUTOTUNE addmm(8x53, 8x636, 636x53) 2025-09-07T10:12:42.5679451Z strides: [0, 1], [636, 1], [1, 636] 2025-09-07T10:12:42.5679805Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:42.5680629Z triton_mm_489 0.0102 ms 100.0% 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 2025-09-07T10:12:42.5681836Z triton_mm_488 0.0113 ms 90.9% 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 2025-09-07T10:12:42.5683034Z triton_mm_497 0.0113 ms 90.9% 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=5, num_warps=4 2025-09-07T10:12:42.5684547Z triton_mm_486 0.0123 ms 83.3% 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=2, num_warps=2 2025-09-07T10:12:42.5685729Z triton_mm_487 0.0123 ms 83.3% 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=5, num_warps=4 2025-09-07T10:12:42.5686914Z triton_mm_492 0.0123 ms 83.3% 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 2025-09-07T10:12:42.5688114Z triton_mm_493 0.0123 ms 83.3% 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 2025-09-07T10:12:42.5689303Z triton_mm_495 0.0123 ms 83.3% 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 2025-09-07T10:12:42.5690503Z triton_mm_496 0.0123 ms 83.3% 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=4, num_warps=4 2025-09-07T10:12:42.5691697Z triton_mm_494 0.0143 ms 71.4% 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=3, num_warps=4 2025-09-07T10:12:42.5692932Z SingleProcess AUTOTUNE benchmarking takes 0.2260 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:12:42.8283712Z Autotune Choices Stats: 2025-09-07T10:12:42.8284916Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_501", "best_kernel_desc": "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", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:12:42.8349177Z AUTOTUNE addmm(8x636, 8x53, 53x636) 2025-09-07T10:12:42.8349559Z strides: [0, 1], [53, 1], [1, 53] 2025-09-07T10:12:42.8349900Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:42.8350761Z triton_mm_501 0.0082 ms 100.0% 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 2025-09-07T10:12:42.8351976Z triton_mm_505 0.0082 ms 100.0% 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 2025-09-07T10:12:42.8353178Z triton_mm_506 0.0082 ms 100.0% 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=5, num_warps=4 2025-09-07T10:12:42.8354707Z triton_mm_514 0.0082 ms 100.0% 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=5, num_warps=8 2025-09-07T10:12:42.8355462Z bias_addmm 0.0092 ms 88.9% 2025-09-07T10:12:42.8356187Z triton_mm_498 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:12:42.8357458Z triton_mm_499 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:12:42.8358650Z triton_mm_500 0.0092 ms 88.9% 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 2025-09-07T10:12:42.8359843Z triton_mm_502 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:42.8361036Z triton_mm_503 0.0092 ms 88.9% 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 2025-09-07T10:12:42.8362289Z SingleProcess AUTOTUNE benchmarking takes 0.2663 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:43.1017073Z Autotune Choices Stats: 2025-09-07T10:12:43.1018278Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_516", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:12:43.1085380Z AUTOTUNE mm(1568x636, 636x117) 2025-09-07T10:12:43.1085726Z strides: [636, 1], [1, 636] 2025-09-07T10:12:43.1086020Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:43.1086786Z triton_mm_516 0.0143 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 2025-09-07T10:12:43.1088011Z triton_mm_517 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:43.1089215Z triton_mm_519 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:43.1090424Z triton_mm_522 0.0154 ms 93.3% 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 2025-09-07T10:12:43.1091613Z triton_mm_518 0.0164 ms 87.5% 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 2025-09-07T10:12:43.1093029Z triton_mm_523 0.0174 ms 82.4% 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 2025-09-07T10:12:43.1094240Z triton_mm_526 0.0174 ms 82.4% 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 2025-09-07T10:12:43.1095424Z triton_mm_524 0.0195 ms 73.7% 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 2025-09-07T10:12:43.1096621Z triton_mm_525 0.0195 ms 73.7% 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 2025-09-07T10:12:43.1098029Z triton_mm_528 0.0195 ms 73.7% 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 2025-09-07T10:12:43.1099061Z SingleProcess AUTOTUNE benchmarking takes 0.2730 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:43.3912175Z Autotune Choices Stats: 2025-09-07T10:12:43.3913403Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_539", "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=2, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:12:43.3975436Z AUTOTUNE mm(1568x117, 117x702) 2025-09-07T10:12:43.3975766Z strides: [117, 1], [1, 117] 2025-09-07T10:12:43.3976060Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:43.3976851Z triton_mm_539 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:43.3978108Z triton_mm_541 0.0143 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 2025-09-07T10:12:43.3979325Z triton_mm_542 0.0143 ms 100.0% 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 2025-09-07T10:12:43.3980839Z triton_mm_543 0.0143 ms 100.0% 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=4, num_warps=8 2025-09-07T10:12:43.3982065Z triton_mm_545 0.0143 ms 100.0% 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 2025-09-07T10:12:43.3983272Z triton_mm_538 0.0154 ms 93.3% 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=2, num_warps=4 2025-09-07T10:12:43.3984534Z triton_mm_547 0.0154 ms 93.3% 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 2025-09-07T10:12:43.3985735Z triton_mm_535 0.0164 ms 87.5% 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 2025-09-07T10:12:43.3986916Z triton_mm_536 0.0164 ms 87.5% 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 2025-09-07T10:12:43.3988107Z triton_mm_537 0.0164 ms 87.5% 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 2025-09-07T10:12:43.3989149Z SingleProcess AUTOTUNE benchmarking takes 0.2883 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:43.6266109Z Autotune Choices Stats: 2025-09-07T10:12:43.6267262Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_555", "best_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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:12:43.6331831Z AUTOTUNE addmm(8x58, 8x702, 702x58) 2025-09-07T10:12:43.6332186Z strides: [0, 1], [702, 1], [1, 702] 2025-09-07T10:12:43.6332550Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:43.6333504Z triton_mm_555 0.0113 ms 100.0% 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 2025-09-07T10:12:43.6334731Z triton_mm_553 0.0123 ms 91.7% 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 2025-09-07T10:12:43.6336186Z triton_mm_554 0.0123 ms 91.7% 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 2025-09-07T10:12:43.6337379Z triton_mm_552 0.0133 ms 84.6% 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=2, num_warps=2 2025-09-07T10:12:43.6338576Z triton_mm_558 0.0133 ms 84.6% 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 2025-09-07T10:12:43.6339750Z triton_mm_561 0.0133 ms 84.6% 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 2025-09-07T10:12:43.6340942Z triton_mm_559 0.0143 ms 78.6% 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 2025-09-07T10:12:43.6342147Z triton_mm_562 0.0143 ms 78.6% 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=4, num_warps=4 2025-09-07T10:12:43.6343477Z triton_mm_563 0.0143 ms 78.6% 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=5, num_warps=4 2025-09-07T10:12:43.6344243Z bias_addmm 0.0154 ms 73.3% 2025-09-07T10:12:43.6344812Z SingleProcess AUTOTUNE benchmarking takes 0.2349 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:12:43.8950151Z Autotune Choices Stats: 2025-09-07T10:12:43.8951332Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_571", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:12:43.9018674Z AUTOTUNE addmm(8x702, 8x58, 58x702) 2025-09-07T10:12:43.9019000Z strides: [0, 1], [58, 1], [1, 58] 2025-09-07T10:12:43.9019337Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:43.9020161Z triton_mm_571 0.0072 ms 100.0% 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 2025-09-07T10:12:43.9021386Z triton_mm_572 0.0072 ms 100.0% 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=5, num_warps=4 2025-09-07T10:12:43.9022596Z triton_mm_564 0.0082 ms 87.5% 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 2025-09-07T10:12:43.9023783Z triton_mm_565 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:12:43.9024976Z triton_mm_566 0.0082 ms 87.5% 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 2025-09-07T10:12:43.9026166Z triton_mm_567 0.0082 ms 87.5% 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 2025-09-07T10:12:43.9027340Z triton_mm_568 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:43.9028520Z triton_mm_569 0.0082 ms 87.5% 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 2025-09-07T10:12:43.9029935Z triton_mm_570 0.0082 ms 87.5% 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=2, num_warps=4 2025-09-07T10:12:43.9031127Z triton_mm_573 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:43.9032160Z SingleProcess AUTOTUNE benchmarking takes 0.2679 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:44.1793885Z Autotune Choices Stats: 2025-09-07T10:12:44.1795031Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_583", "best_kernel_desc": "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", "best_time": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:12:44.1862244Z AUTOTUNE mm(1568x702, 702x128) 2025-09-07T10:12:44.1862578Z strides: [702, 1], [1, 702] 2025-09-07T10:12:44.1862890Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:44.1863668Z triton_mm_583 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:44.1864882Z triton_mm_582 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:44.1866424Z triton_mm_585 0.0164 ms 93.7% 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 2025-09-07T10:12:44.1867626Z triton_mm_584 0.0174 ms 88.2% 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 2025-09-07T10:12:44.1868819Z triton_mm_588 0.0184 ms 83.3% 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 2025-09-07T10:12:44.1870019Z triton_mm_589 0.0215 ms 71.4% 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 2025-09-07T10:12:44.1871223Z triton_mm_590 0.0225 ms 68.2% 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 2025-09-07T10:12:44.1872421Z triton_mm_591 0.0225 ms 68.2% 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 2025-09-07T10:12:44.1873619Z triton_mm_593 0.0225 ms 68.2% 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 2025-09-07T10:12:44.1874805Z triton_mm_594 0.0225 ms 68.2% 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 2025-09-07T10:12:44.1875857Z SingleProcess AUTOTUNE benchmarking takes 0.2836 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:44.4357130Z Autotune Choices Stats: 2025-09-07T10:12:44.4358442Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_607", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:12:44.4425691Z AUTOTUNE mm(1568x128, 128x768) 2025-09-07T10:12:44.4426016Z strides: [128, 1], [1, 128] 2025-09-07T10:12:44.4426299Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:44.4427065Z triton_mm_607 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:44.4428609Z triton_mm_608 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:44.4429814Z triton_mm_609 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:44.4431020Z triton_mm_611 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:44.4432214Z triton_mm_612 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:44.4433397Z triton_mm_614 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:44.4434613Z triton_mm_616 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:44.4435378Z mm 0.0123 ms 91.7% 2025-09-07T10:12:44.4436062Z triton_mm_605 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:44.4437550Z triton_mm_606 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:12:44.4438582Z SingleProcess AUTOTUNE benchmarking takes 0.2556 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:44.6619034Z Autotune Choices Stats: 2025-09-07T10:12:44.6620231Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_621", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:12:44.6688011Z AUTOTUNE addmm(8x64, 8x768, 768x64) 2025-09-07T10:12:44.6688365Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:12:44.6688729Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:44.6689560Z triton_mm_621 0.0092 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 2025-09-07T10:12:44.6690759Z triton_mm_625 0.0102 ms 90.0% 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 2025-09-07T10:12:44.6691961Z triton_mm_628 0.0102 ms 90.0% 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=4, num_warps=4 2025-09-07T10:12:44.6693423Z triton_mm_629 0.0102 ms 90.0% 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=5, num_warps=4 2025-09-07T10:12:44.6694611Z triton_mm_619 0.0113 ms 81.8% 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 2025-09-07T10:12:44.6695794Z triton_mm_620 0.0113 ms 81.8% 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 2025-09-07T10:12:44.6696977Z triton_mm_624 0.0113 ms 81.8% 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 2025-09-07T10:12:44.6698150Z triton_mm_618 0.0123 ms 75.0% 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 2025-09-07T10:12:44.6699164Z bias_addmm 0.0133 ms 69.2% 2025-09-07T10:12:44.6699887Z triton_mm_627 0.0133 ms 69.2% 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 2025-09-07T10:12:44.6700921Z SingleProcess AUTOTUNE benchmarking takes 0.2255 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:12:44.9310223Z Autotune Choices Stats: 2025-09-07T10:12:44.9311405Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_632", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:12:44.9380222Z AUTOTUNE addmm(8x768, 8x64, 64x768) 2025-09-07T10:12:44.9380574Z strides: [0, 1], [64, 1], [1, 64] 2025-09-07T10:12:44.9380942Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:44.9381739Z triton_mm_632 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:44.9382938Z triton_mm_633 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:44.9384367Z triton_mm_637 0.0072 ms 100.0% 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 2025-09-07T10:12:44.9385561Z triton_mm_638 0.0072 ms 100.0% 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=5, num_warps=4 2025-09-07T10:12:44.9386747Z triton_mm_643 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:44.9387953Z triton_mm_644 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:12:44.9389137Z triton_mm_646 0.0072 ms 100.0% 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=5, num_warps=8 2025-09-07T10:12:44.9389906Z bias_addmm 0.0082 ms 87.5% 2025-09-07T10:12:44.9390626Z triton_mm_630 0.0082 ms 87.5% 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 2025-09-07T10:12:44.9391804Z triton_mm_631 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:12:44.9392834Z SingleProcess AUTOTUNE benchmarking takes 0.2684 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:45.1953073Z Autotune Choices Stats: 2025-09-07T10:12:45.1954237Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_651", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:12:45.2024205Z AUTOTUNE mm(392x768, 768x140) 2025-09-07T10:12:45.2024513Z strides: [768, 1], [1, 768] 2025-09-07T10:12:45.2024812Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:45.2025567Z triton_mm_651 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:45.2026770Z triton_mm_655 0.0123 ms 91.7% 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 2025-09-07T10:12:45.2028228Z triton_mm_648 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:45.2029410Z triton_mm_649 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:45.2030604Z triton_mm_650 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:45.2031779Z triton_mm_654 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:12:45.2032520Z mm 0.0154 ms 73.3% 2025-09-07T10:12:45.2033202Z triton_mm_658 0.0154 ms 73.3% 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 2025-09-07T10:12:45.2034385Z triton_mm_657 0.0164 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:45.2035730Z triton_mm_660 0.0174 ms 64.7% 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 2025-09-07T10:12:45.2036769Z SingleProcess AUTOTUNE benchmarking takes 0.2636 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:45.4502594Z Autotune Choices Stats: 2025-09-07T10:12:45.4503758Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_671", "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=2, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:12:45.4572251Z AUTOTUNE mm(392x140, 140x840) 2025-09-07T10:12:45.4572603Z strides: [140, 1], [1, 140] 2025-09-07T10:12:45.4573090Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:45.4573876Z triton_mm_671 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:45.4575108Z triton_mm_672 0.0102 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 2025-09-07T10:12:45.4576316Z triton_mm_677 0.0102 ms 100.0% 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 2025-09-07T10:12:45.4577512Z triton_mm_667 0.0113 ms 90.9% 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 2025-09-07T10:12:45.4578721Z triton_mm_673 0.0113 ms 90.9% 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 2025-09-07T10:12:45.4579915Z triton_mm_674 0.0113 ms 90.9% 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 2025-09-07T10:12:45.4581120Z triton_mm_675 0.0113 ms 90.9% 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 2025-09-07T10:12:45.4582308Z triton_mm_676 0.0113 ms 90.9% 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 2025-09-07T10:12:45.4583494Z triton_mm_678 0.0113 ms 90.9% 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 2025-09-07T10:12:45.4584525Z mm 0.0123 ms 83.3% 2025-09-07T10:12:45.4585047Z SingleProcess AUTOTUNE benchmarking takes 0.2540 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:45.7340392Z Autotune Choices Stats: 2025-09-07T10:12:45.7341598Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_687", "best_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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:12:45.7411924Z AUTOTUNE addmm(8x70, 8x840, 840x70) 2025-09-07T10:12:45.7412267Z strides: [0, 1], [840, 1], [1, 840] 2025-09-07T10:12:45.7412880Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:45.7413726Z triton_mm_687 0.0092 ms 100.0% 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 2025-09-07T10:12:45.7414954Z triton_mm_686 0.0113 ms 81.8% 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 2025-09-07T10:12:45.7416148Z triton_mm_691 0.0113 ms 81.8% 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 2025-09-07T10:12:45.7417652Z triton_mm_685 0.0123 ms 75.0% 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 2025-09-07T10:12:45.7418834Z triton_mm_684 0.0133 ms 69.2% 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=2, num_warps=2 2025-09-07T10:12:45.7420031Z triton_mm_690 0.0133 ms 69.2% 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 2025-09-07T10:12:45.7421227Z triton_mm_697 0.0133 ms 69.2% 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=4, num_warps=4 2025-09-07T10:12:45.7421988Z bias_addmm 0.0143 ms 64.3% 2025-09-07T10:12:45.7422724Z triton_mm_694 0.0143 ms 64.3% 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 2025-09-07T10:12:45.7423927Z triton_mm_695 0.0143 ms 64.3% 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 2025-09-07T10:12:45.7424967Z SingleProcess AUTOTUNE benchmarking takes 0.2832 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:46.0024533Z Autotune Choices Stats: 2025-09-07T10:12:46.0025778Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_702", "best_kernel_desc": "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", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:12:46.0095543Z AUTOTUNE addmm(8x840, 8x70, 70x840) 2025-09-07T10:12:46.0095878Z strides: [0, 1], [70, 1], [1, 70] 2025-09-07T10:12:46.0096232Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:46.0097074Z triton_mm_702 0.0082 ms 100.0% 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 2025-09-07T10:12:46.0098294Z triton_mm_703 0.0082 ms 100.0% 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 2025-09-07T10:12:46.0099494Z triton_mm_706 0.0082 ms 100.0% 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=2, num_warps=4 2025-09-07T10:12:46.0101004Z triton_mm_707 0.0082 ms 100.0% 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 2025-09-07T10:12:46.0102210Z triton_mm_708 0.0082 ms 100.0% 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 2025-09-07T10:12:46.0103422Z triton_mm_709 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:46.0104627Z triton_mm_713 0.0082 ms 100.0% 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=3, num_warps=4 2025-09-07T10:12:46.0105819Z triton_mm_714 0.0082 ms 100.0% 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 2025-09-07T10:12:46.0106582Z bias_addmm 0.0092 ms 88.9% 2025-09-07T10:12:46.0107306Z triton_mm_700 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:12:46.0108467Z SingleProcess AUTOTUNE benchmarking takes 0.2677 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:46.2766026Z Autotune Choices Stats: 2025-09-07T10:12:46.2767214Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_721", "best_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", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:12:46.2837174Z AUTOTUNE mm(392x840, 840x151) 2025-09-07T10:12:46.2837527Z strides: [840, 1], [1, 840] 2025-09-07T10:12:46.2837824Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:46.2838604Z triton_mm_721 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:46.2839857Z triton_mm_718 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:46.2841058Z triton_mm_719 0.0143 ms 85.7% 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 2025-09-07T10:12:46.2842245Z triton_mm_720 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:46.2843444Z triton_mm_725 0.0143 ms 85.7% 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 2025-09-07T10:12:46.2844639Z triton_mm_724 0.0164 ms 75.0% 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 2025-09-07T10:12:46.2845836Z triton_mm_728 0.0195 ms 63.2% 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 2025-09-07T10:12:46.2846569Z mm 0.0205 ms 60.0% 2025-09-07T10:12:46.2847269Z triton_mm_727 0.0205 ms 60.0% 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=4, num_warps=8 2025-09-07T10:12:46.2848465Z triton_mm_730 0.0205 ms 60.0% 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 2025-09-07T10:12:46.2849737Z SingleProcess AUTOTUNE benchmarking takes 0.2735 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:46.5669143Z Autotune Choices Stats: 2025-09-07T10:12:46.5670328Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_737", "best_kernel_desc": "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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:12:46.5739303Z AUTOTUNE mm(392x151, 151x906) 2025-09-07T10:12:46.5739637Z strides: [151, 1], [1, 151] 2025-09-07T10:12:46.5739941Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:46.5740730Z triton_mm_737 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:46.5741965Z triton_mm_738 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:46.5743190Z triton_mm_742 0.0113 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 2025-09-07T10:12:46.5744727Z triton_mm_741 0.0123 ms 91.7% 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 2025-09-07T10:12:46.5745909Z triton_mm_735 0.0133 ms 84.6% 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 2025-09-07T10:12:46.5747102Z triton_mm_745 0.0133 ms 84.6% 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 2025-09-07T10:12:46.5748303Z triton_mm_748 0.0133 ms 84.6% 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 2025-09-07T10:12:46.5749505Z triton_mm_744 0.0143 ms 78.6% 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=3, num_warps=4 2025-09-07T10:12:46.5750702Z triton_mm_747 0.0143 ms 78.6% 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=3, num_warps=4 2025-09-07T10:12:46.5751446Z mm 0.0154 ms 73.3% 2025-09-07T10:12:46.5751967Z SingleProcess AUTOTUNE benchmarking takes 0.2895 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:46.8583864Z Autotune Choices Stats: 2025-09-07T10:12:46.8585093Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_757", "best_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", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:12:46.8663968Z AUTOTUNE addmm(8x75, 8x906, 906x75) 2025-09-07T10:12:46.8664336Z strides: [0, 1], [906, 1], [1, 906] 2025-09-07T10:12:46.8664680Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:46.8665552Z triton_mm_757 0.0123 ms 100.0% 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 2025-09-07T10:12:46.8666769Z triton_mm_756 0.0133 ms 92.3% 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 2025-09-07T10:12:46.8667978Z triton_mm_754 0.0143 ms 85.7% 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=2, num_warps=2 2025-09-07T10:12:46.8669422Z triton_mm_755 0.0143 ms 85.7% 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 2025-09-07T10:12:46.8670609Z triton_mm_767 0.0154 ms 80.0% 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 2025-09-07T10:12:46.8671800Z triton_mm_760 0.0164 ms 75.0% 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 2025-09-07T10:12:46.8672992Z triton_mm_761 0.0174 ms 70.6% 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 2025-09-07T10:12:46.8674181Z triton_mm_766 0.0184 ms 66.7% 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=3, num_warps=4 2025-09-07T10:12:46.8675379Z triton_mm_763 0.0195 ms 63.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:46.8676569Z triton_mm_764 0.0195 ms 63.2% 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 2025-09-07T10:12:46.8677854Z SingleProcess AUTOTUNE benchmarking takes 0.2917 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:47.1331746Z Autotune Choices Stats: 2025-09-07T10:12:47.1333535Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "bias_addmm", "best_time": 0.009216000325977802, "best_triton_pos": 1, "best_triton_time": 0.009216000325977802, "best_triton_kernel": "triton_mm_773", "best_triton_kernel_desc": "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"} 2025-09-07T10:12:47.1407030Z AUTOTUNE addmm(8x906, 8x75, 75x906) 2025-09-07T10:12:47.1407427Z strides: [0, 1], [75, 1], [1, 75] 2025-09-07T10:12:47.1407787Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:47.1408163Z bias_addmm 0.0092 ms 100.0% 2025-09-07T10:12:47.1408911Z triton_mm_773 0.0092 ms 100.0% 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 2025-09-07T10:12:47.1410141Z triton_mm_775 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:47.1411342Z triton_mm_777 0.0092 ms 100.0% 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 2025-09-07T10:12:47.1412532Z triton_mm_778 0.0092 ms 100.0% 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 2025-09-07T10:12:47.1413862Z triton_mm_770 0.0102 ms 90.0% 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 2025-09-07T10:12:47.1415044Z triton_mm_772 0.0102 ms 90.0% 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 2025-09-07T10:12:47.1416231Z triton_mm_776 0.0102 ms 90.0% 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=2, num_warps=4 2025-09-07T10:12:47.1417425Z triton_mm_779 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:47.1418623Z triton_mm_780 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:47.1419940Z SingleProcess AUTOTUNE benchmarking takes 0.2735 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:47.4323227Z Autotune Choices Stats: 2025-09-07T10:12:47.4324445Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_788", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:12:47.4396478Z AUTOTUNE mm(392x906, 906x162) 2025-09-07T10:12:47.4396800Z strides: [906, 1], [1, 906] 2025-09-07T10:12:47.4397086Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:47.4397965Z triton_mm_788 0.0154 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 2025-09-07T10:12:47.4399202Z triton_mm_789 0.0164 ms 93.7% 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 2025-09-07T10:12:47.4400397Z triton_mm_790 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:47.4401141Z mm 0.0174 ms 88.2% 2025-09-07T10:12:47.4402081Z triton_mm_791 0.0184 ms 83.3% 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 2025-09-07T10:12:47.4403301Z triton_mm_794 0.0195 ms 78.9% 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 2025-09-07T10:12:47.4404497Z triton_mm_799 0.0256 ms 60.0% 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 2025-09-07T10:12:47.4405708Z triton_mm_796 0.0266 ms 57.7% 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 2025-09-07T10:12:47.4406908Z triton_mm_797 0.0266 ms 57.7% 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 2025-09-07T10:12:47.4408105Z triton_mm_795 0.0276 ms 55.6% 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 2025-09-07T10:12:47.4409140Z SingleProcess AUTOTUNE benchmarking takes 0.2969 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:47.6944910Z Autotune Choices Stats: 2025-09-07T10:12:47.6946377Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.01228800043463707, "best_triton_kernel": "triton_mm_807", "best_triton_kernel_desc": "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"} 2025-09-07T10:12:47.7019082Z AUTOTUNE mm(392x162, 162x972) 2025-09-07T10:12:47.7019399Z strides: [162, 1], [1, 162] 2025-09-07T10:12:47.7019706Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:47.7020024Z mm 0.0123 ms 100.0% 2025-09-07T10:12:47.7020733Z triton_mm_807 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:47.7021934Z triton_mm_811 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:47.7023379Z triton_mm_814 0.0123 ms 100.0% 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 2025-09-07T10:12:47.7024587Z triton_mm_815 0.0123 ms 100.0% 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=4, num_warps=8 2025-09-07T10:12:47.7025805Z triton_mm_817 0.0123 ms 100.0% 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 2025-09-07T10:12:47.7027004Z triton_mm_818 0.0123 ms 100.0% 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 2025-09-07T10:12:47.7028201Z triton_mm_805 0.0133 ms 92.3% 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 2025-09-07T10:12:47.7029391Z triton_mm_806 0.0133 ms 92.3% 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 2025-09-07T10:12:47.7030588Z triton_mm_812 0.0133 ms 92.3% 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 2025-09-07T10:12:47.7031776Z SingleProcess AUTOTUNE benchmarking takes 0.2615 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:47.9922230Z Autotune Choices Stats: 2025-09-07T10:12:47.9923417Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_827", "best_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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:12:47.9998827Z AUTOTUNE addmm(8x81, 8x972, 972x81) 2025-09-07T10:12:47.9999235Z strides: [0, 1], [972, 1], [1, 972] 2025-09-07T10:12:47.9999592Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:48.0000438Z triton_mm_827 0.0113 ms 100.0% 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 2025-09-07T10:12:48.0001670Z triton_mm_826 0.0133 ms 84.6% 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 2025-09-07T10:12:48.0002864Z triton_mm_825 0.0143 ms 78.6% 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 2025-09-07T10:12:48.0004044Z triton_mm_831 0.0143 ms 78.6% 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 2025-09-07T10:12:48.0005249Z triton_mm_824 0.0154 ms 73.3% 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=2, num_warps=2 2025-09-07T10:12:48.0006439Z triton_mm_830 0.0154 ms 73.3% 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 2025-09-07T10:12:48.0007623Z triton_mm_837 0.0154 ms 73.3% 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 2025-09-07T10:12:48.0008376Z addmm 0.0174 ms 64.7% 2025-09-07T10:12:48.0009084Z triton_mm_833 0.0184 ms 61.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:48.0010268Z triton_mm_834 0.0195 ms 57.9% 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=3, num_warps=4 2025-09-07T10:12:48.0011645Z SingleProcess AUTOTUNE benchmarking takes 0.2959 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:48.2705130Z Autotune Choices Stats: 2025-09-07T10:12:48.2706341Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_842", "best_kernel_desc": "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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:12:48.2782633Z AUTOTUNE addmm(8x972, 8x81, 81x972) 2025-09-07T10:12:48.2782983Z strides: [0, 1], [81, 1], [1, 81] 2025-09-07T10:12:48.2783336Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:48.2784155Z triton_mm_842 0.0092 ms 100.0% 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 2025-09-07T10:12:48.2785374Z triton_mm_843 0.0092 ms 100.0% 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 2025-09-07T10:12:48.2786572Z triton_mm_846 0.0092 ms 100.0% 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=2, num_warps=4 2025-09-07T10:12:48.2788041Z triton_mm_853 0.0092 ms 100.0% 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=3, num_warps=4 2025-09-07T10:12:48.2789231Z triton_mm_854 0.0092 ms 100.0% 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 2025-09-07T10:12:48.2789991Z bias_addmm 0.0102 ms 90.0% 2025-09-07T10:12:48.2790722Z triton_mm_840 0.0102 ms 90.0% 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 2025-09-07T10:12:48.2791919Z triton_mm_845 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:48.2793091Z triton_mm_847 0.0102 ms 90.0% 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 2025-09-07T10:12:48.2794286Z triton_mm_850 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:48.2795318Z SingleProcess AUTOTUNE benchmarking takes 0.2776 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:48.5605042Z Autotune Choices Stats: 2025-09-07T10:12:48.5606223Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_858", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:12:48.5681145Z AUTOTUNE mm(392x972, 972x174) 2025-09-07T10:12:48.5681455Z strides: [972, 1], [1, 972] 2025-09-07T10:12:48.5681748Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:48.5682529Z triton_mm_858 0.0154 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 2025-09-07T10:12:48.5683745Z triton_mm_859 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:48.5684942Z triton_mm_860 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:48.5685963Z mm 0.0174 ms 88.2% 2025-09-07T10:12:48.5686667Z triton_mm_861 0.0174 ms 88.2% 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 2025-09-07T10:12:48.5687860Z triton_mm_864 0.0174 ms 88.2% 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 2025-09-07T10:12:48.5689057Z triton_mm_865 0.0205 ms 75.0% 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 2025-09-07T10:12:48.5690246Z triton_mm_868 0.0215 ms 71.4% 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 2025-09-07T10:12:48.5691443Z triton_mm_870 0.0225 ms 68.2% 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 2025-09-07T10:12:48.5692898Z triton_mm_867 0.0236 ms 65.2% 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 2025-09-07T10:12:48.5693938Z SingleProcess AUTOTUNE benchmarking takes 0.2891 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:48.8199607Z Autotune Choices Stats: 2025-09-07T10:12:48.8201144Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_884", "best_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", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:12:48.8273525Z AUTOTUNE mm(392x174, 174x1044) 2025-09-07T10:12:48.8273898Z strides: [174, 1], [1, 174] 2025-09-07T10:12:48.8274278Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:48.8275344Z triton_mm_884 0.0123 ms 100.0% 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 2025-09-07T10:12:48.8277003Z triton_mm_885 0.0123 ms 100.0% 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=4, num_warps=8 2025-09-07T10:12:48.8278834Z triton_mm_887 0.0123 ms 100.0% 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 2025-09-07T10:12:48.8280490Z triton_mm_888 0.0123 ms 100.0% 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 2025-09-07T10:12:48.8281507Z mm 0.0133 ms 92.3% 2025-09-07T10:12:48.8282458Z triton_mm_876 0.0133 ms 92.3% 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 2025-09-07T10:12:48.8284103Z triton_mm_881 0.0133 ms 92.3% 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=2, num_warps=4 2025-09-07T10:12:48.8285728Z triton_mm_882 0.0133 ms 92.3% 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 2025-09-07T10:12:48.8287366Z triton_mm_886 0.0133 ms 92.3% 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=3, num_warps=4 2025-09-07T10:12:48.8288836Z triton_mm_875 0.0143 ms 85.7% 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 2025-09-07T10:12:48.8289854Z SingleProcess AUTOTUNE benchmarking takes 0.2585 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:49.1223103Z Autotune Choices Stats: 2025-09-07T10:12:49.1224296Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_897", "best_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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:12:49.1304244Z AUTOTUNE addmm(8x87, 8x1044, 1044x87) 2025-09-07T10:12:49.1304607Z strides: [0, 1], [1044, 1], [1, 1044] 2025-09-07T10:12:49.1304965Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:49.1305785Z triton_mm_897 0.0113 ms 100.0% 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 2025-09-07T10:12:49.1307004Z triton_mm_896 0.0133 ms 84.6% 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 2025-09-07T10:12:49.1308201Z triton_mm_895 0.0143 ms 78.6% 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 2025-09-07T10:12:49.1309392Z triton_mm_894 0.0154 ms 73.3% 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=2, num_warps=2 2025-09-07T10:12:49.1310818Z triton_mm_900 0.0154 ms 73.3% 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 2025-09-07T10:12:49.1312020Z triton_mm_901 0.0154 ms 73.3% 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 2025-09-07T10:12:49.1313220Z triton_mm_907 0.0164 ms 68.8% 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=4, num_warps=4 2025-09-07T10:12:49.1313963Z addmm 0.0184 ms 61.1% 2025-09-07T10:12:49.1314691Z triton_mm_903 0.0184 ms 61.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:49.1315888Z triton_mm_904 0.0195 ms 57.9% 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=3, num_warps=4 2025-09-07T10:12:49.1316929Z SingleProcess AUTOTUNE benchmarking takes 0.3023 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:49.4014788Z Autotune Choices Stats: 2025-09-07T10:12:49.4015986Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_912", "best_kernel_desc": "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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:12:49.4094425Z AUTOTUNE addmm(8x1044, 8x87, 87x1044) 2025-09-07T10:12:49.4094811Z strides: [0, 1], [87, 1], [1, 87] 2025-09-07T10:12:49.4095170Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:49.4095990Z triton_mm_912 0.0092 ms 100.0% 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 2025-09-07T10:12:49.4097235Z triton_mm_913 0.0092 ms 100.0% 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 2025-09-07T10:12:49.4098435Z triton_mm_916 0.0092 ms 100.0% 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=2, num_warps=4 2025-09-07T10:12:49.4099636Z triton_mm_923 0.0092 ms 100.0% 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=3, num_warps=4 2025-09-07T10:12:49.4101161Z triton_mm_924 0.0092 ms 100.0% 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 2025-09-07T10:12:49.4102371Z triton_mm_925 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:12:49.4103156Z bias_addmm 0.0102 ms 90.0% 2025-09-07T10:12:49.4103870Z triton_mm_915 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:49.4105053Z triton_mm_917 0.0102 ms 90.0% 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 2025-09-07T10:12:49.4106244Z triton_mm_920 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:49.4107277Z SingleProcess AUTOTUNE benchmarking takes 0.2781 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:12:49.6943034Z Autotune Choices Stats: 2025-09-07T10:12:49.6944543Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_928", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:12:49.7021322Z AUTOTUNE mm(392x1044, 1044x185) 2025-09-07T10:12:49.7021647Z strides: [1044, 1], [1, 1044] 2025-09-07T10:12:49.7021958Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:49.7022725Z triton_mm_928 0.0164 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 2025-09-07T10:12:49.7023971Z triton_mm_929 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:49.7025177Z triton_mm_930 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:49.7026391Z triton_mm_931 0.0174 ms 94.1% 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 2025-09-07T10:12:49.7027587Z triton_mm_934 0.0184 ms 88.9% 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 2025-09-07T10:12:49.7028779Z triton_mm_935 0.0215 ms 76.2% 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 2025-09-07T10:12:49.7029964Z triton_mm_938 0.0215 ms 76.2% 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 2025-09-07T10:12:49.7030714Z mm 0.0236 ms 69.6% 2025-09-07T10:12:49.7031419Z triton_mm_940 0.0246 ms 66.7% 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 2025-09-07T10:12:49.7032612Z triton_mm_936 0.0256 ms 64.0% 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 2025-09-07T10:12:49.7033642Z SingleProcess AUTOTUNE benchmarking takes 0.2920 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:49.9974244Z Autotune Choices Stats: 2025-09-07T10:12:49.9975787Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_947", "best_kernel_desc": "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", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:12:50.0053118Z AUTOTUNE mm(392x185, 185x1280) 2025-09-07T10:12:50.0053437Z strides: [185, 1], [1, 185] 2025-09-07T10:12:50.0053732Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:50.0054517Z triton_mm_947 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:50.0055721Z triton_mm_951 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:12:50.0056913Z triton_mm_955 0.0143 ms 100.0% 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=4, num_warps=8 2025-09-07T10:12:50.0058125Z triton_mm_952 0.0154 ms 93.3% 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 2025-09-07T10:12:50.0059318Z triton_mm_954 0.0154 ms 93.3% 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 2025-09-07T10:12:50.0060727Z triton_mm_957 0.0154 ms 93.3% 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 2025-09-07T10:12:50.0061932Z triton_mm_958 0.0154 ms 93.3% 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 2025-09-07T10:12:50.0063122Z triton_mm_948 0.0164 ms 87.5% 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 2025-09-07T10:12:50.0063878Z mm 0.0174 ms 82.4% 2025-09-07T10:12:50.0064553Z triton_mm_945 0.0195 ms 73.7% 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 2025-09-07T10:12:50.0065585Z SingleProcess AUTOTUNE benchmarking takes 0.3024 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:50.2962692Z Autotune Choices Stats: 2025-09-07T10:12:50.2963894Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_967", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:12:50.3044411Z AUTOTUNE addmm(8x1000, 8x1280, 1280x1000) 2025-09-07T10:12:50.3044810Z strides: [0, 1], [1280, 1], [1, 1280] 2025-09-07T10:12:50.3045161Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:50.3046006Z triton_mm_967 0.0113 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 2025-09-07T10:12:50.3047221Z triton_mm_971 0.0123 ms 91.7% 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 2025-09-07T10:12:50.3048432Z triton_mm_975 0.0143 ms 78.6% 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 2025-09-07T10:12:50.3049205Z bias_addmm 0.0154 ms 73.3% 2025-09-07T10:12:50.3049926Z triton_mm_979 0.0154 ms 73.3% 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 2025-09-07T10:12:50.3051417Z triton_mm_965 0.0164 ms 68.8% 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 2025-09-07T10:12:50.3052592Z triton_mm_966 0.0164 ms 68.8% 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 2025-09-07T10:12:50.3054014Z triton_mm_970 0.0164 ms 68.8% 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 2025-09-07T10:12:50.3055205Z triton_mm_964 0.0174 ms 64.7% 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 2025-09-07T10:12:50.3056396Z triton_mm_974 0.0174 ms 64.7% 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=3, num_warps=4 2025-09-07T10:12:50.3057432Z SingleProcess AUTOTUNE benchmarking takes 0.2983 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:13:21.9838767Z Autotune Choices Stats: 2025-09-07T10:13:21.9848278Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1002", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:13:21.9929200Z AUTOTUNE mm(1000x8, 8x1280) 2025-09-07T10:13:21.9929623Z strides: [1, 1000], [1280, 1] 2025-09-07T10:13:21.9929932Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:21.9930749Z triton_mm_1002 0.0082 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 2025-09-07T10:13:21.9931978Z triton_mm_1003 0.0082 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 2025-09-07T10:13:21.9933471Z triton_mm_1004 0.0082 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 2025-09-07T10:13:21.9934692Z triton_mm_1005 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:13:21.9935924Z triton_mm_1006 0.0082 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 2025-09-07T10:13:21.9937141Z triton_mm_1007 0.0082 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 2025-09-07T10:13:21.9938343Z triton_mm_997 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:13:21.9939535Z triton_mm_998 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:13:21.9940726Z triton_mm_999 0.0092 ms 88.9% 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 2025-09-07T10:13:21.9941900Z triton_mm_1000 0.0092 ms 88.9% 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=8 2025-09-07T10:13:21.9942939Z SingleProcess AUTOTUNE benchmarking takes 0.2204 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T10:13:22.8183923Z Autotune Choices Stats: 2025-09-07T10:13:22.8185547Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_984", "best_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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:13:22.8261593Z AUTOTUNE mm(8x1000, 1000x1280) 2025-09-07T10:13:22.8261926Z strides: [1000, 1], [1280, 1] 2025-09-07T10:13:22.8262237Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:22.8263032Z triton_mm_984 0.0113 ms 100.0% 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 2025-09-07T10:13:22.8264252Z triton_mm_988 0.0113 ms 100.0% 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 2025-09-07T10:13:22.8265474Z triton_mm_992 0.0123 ms 91.7% 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 2025-09-07T10:13:22.8266240Z mm 0.0133 ms 84.6% 2025-09-07T10:13:22.8266939Z triton_mm_996 0.0133 ms 84.6% 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=5, num_warps=8 2025-09-07T10:13:22.8268310Z triton_mm_982 0.0143 ms 78.6% 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 2025-09-07T10:13:22.8269505Z triton_mm_983 0.0143 ms 78.6% 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 2025-09-07T10:13:22.8270695Z triton_mm_987 0.0154 ms 73.3% 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 2025-09-07T10:13:22.8271891Z triton_mm_991 0.0154 ms 73.3% 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 2025-09-07T10:13:22.8273082Z triton_mm_994 0.0154 ms 73.3% 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 2025-09-07T10:13:22.8274112Z SingleProcess AUTOTUNE benchmarking takes 0.2467 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:13:39.6537321Z W0907 10:13:39.652000 78408 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:14:22.3526696Z pass 2025-09-07T10:14:29.8952534Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:14:29.8954077Z import pynvml # type: ignore[import] 2025-09-07T10:14:33.3770768Z 2025-09-07T10:14:34.7906740Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:14:34.7907101Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:14:34.7907420Z cuda train sebotnet33ts_256 2025-09-07T10:15:13.8385792Z Autotune Choices Stats: 2025-09-07T10:15:13.8387047Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_446", "best_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=2, num_warps=1", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:15:13.8463711Z AUTOTUNE addmm(8x16, 8x256, 256x16) 2025-09-07T10:15:13.8464089Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:15:13.8464452Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:15:13.8465293Z triton_mm_446 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:15:13.8466924Z triton_mm_447 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:15:13.8468124Z triton_mm_448 0.0082 ms 100.0% 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 2025-09-07T10:15:13.8469325Z triton_mm_451 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:15:13.8470514Z triton_mm_453 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:15:13.8471711Z triton_mm_454 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:15:13.8472902Z triton_mm_455 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:15:13.8474290Z triton_mm_452 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:15:13.8475473Z triton_mm_450 0.0113 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:15:13.8476641Z triton_mm_449 0.0123 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:15:13.8477743Z SingleProcess AUTOTUNE benchmarking takes 0.1976 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:15:14.2196139Z Autotune Choices Stats: 2025-09-07T10:15:14.2197372Z {"num_choices": 12, "num_triton_choices": 10, "best_kernel": "triton_mm_46", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:15:14.2270932Z AUTOTUNE addmm(8x8, 8x64, 64x8) 2025-09-07T10:15:14.2271246Z strides: [0, 1], [64, 1], [1, 64] 2025-09-07T10:15:14.2271583Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:15:14.2272413Z triton_mm_46 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:15:14.2273599Z triton_mm_47 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:15:14.2274787Z triton_mm_48 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:15:14.2275962Z triton_mm_50 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:15:14.2277148Z triton_mm_51 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:15:14.2278395Z triton_mm_52 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:15:14.2279560Z triton_mm_53 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:15:14.2281009Z triton_mm_54 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:15:14.2281763Z bias_addmm 0.0082 ms 87.5% 2025-09-07T10:15:14.2282489Z triton_mm_45 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T10:15:14.2283516Z SingleProcess AUTOTUNE benchmarking takes 0.1787 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:15:14.5845848Z Autotune Choices Stats: 2025-09-07T10:15:14.5847076Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_187", "best_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=2, num_warps=1", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:15:14.5920103Z AUTOTUNE addmm(8x8, 8x128, 128x8) 2025-09-07T10:15:14.5920832Z strides: [0, 1], [128, 1], [1, 128] 2025-09-07T10:15:14.5921276Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:15:14.5922123Z triton_mm_187 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:15:14.5923711Z triton_mm_188 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:15:14.5924929Z triton_mm_189 0.0072 ms 100.0% 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 2025-09-07T10:15:14.5926139Z triton_mm_192 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:15:14.5927361Z triton_mm_195 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:15:14.5928559Z triton_mm_196 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:15:14.5929743Z triton_mm_191 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:15:14.5930913Z triton_mm_193 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:15:14.5932099Z triton_mm_194 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:15:14.5933092Z bias_addmm 0.0092 ms 77.8% 2025-09-07T10:15:14.5933665Z SingleProcess AUTOTUNE benchmarking takes 0.1918 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:15:15.1001646Z Autotune Choices Stats: 2025-09-07T10:15:15.1003389Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.04198399931192398, "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=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:15:15.1075533Z AUTOTUNE convolution(8x3x256x256, 24x3x3x3) 2025-09-07T10:15:15.1075900Z strides: [196608, 1, 768, 3], [27, 1, 9, 3] 2025-09-07T10:15:15.1076546Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:15.1076867Z convolution 0.0246 ms 100.0% 2025-09-07T10:15:15.1077819Z triton_convolution2d_4 0.0420 ms 58.5% 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 2025-09-07T10:15:15.1079301Z triton_convolution2d_0 0.0471 ms 52.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:15:15.1080790Z triton_convolution2d_2 0.0471 ms 52.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:15:15.1082284Z triton_convolution2d_3 0.0522 ms 47.1% 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 2025-09-07T10:15:15.1083774Z triton_convolution2d_1 0.0543 ms 45.3% 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 2025-09-07T10:15:15.1085434Z triton_convolution2d_5 0.0543 ms 45.3% 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 2025-09-07T10:15:15.1086621Z SingleProcess AUTOTUNE benchmarking takes 0.1282 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:15:15.2531314Z Autotune Choices Stats: 2025-09-07T10:15:15.2533218Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.035840000957250595, "best_triton_pos": 1, "best_triton_time": 0.04710400104522705, "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"} 2025-09-07T10:15:15.2605912Z AUTOTUNE convolution(8x24x128x128, 32x24x3x3) 2025-09-07T10:15:15.2606299Z strides: [393216, 1, 3072, 24], [216, 1, 72, 24] 2025-09-07T10:15:15.2606649Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:15.2606954Z convolution 0.0358 ms 100.0% 2025-09-07T10:15:15.2607855Z triton_convolution2d_9 0.0471 ms 76.1% 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 2025-09-07T10:15:15.2609343Z triton_convolution2d_6 0.0512 ms 70.0% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:15:15.2610826Z triton_convolution2d_7 0.0543 ms 66.0% 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 2025-09-07T10:15:15.2612302Z triton_convolution2d_11 0.0543 ms 66.0% 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 2025-09-07T10:15:15.2613956Z triton_convolution2d_12 0.0604 ms 59.3% 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 2025-09-07T10:15:15.2615510Z triton_convolution2d_8 0.0768 ms 46.7% 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 2025-09-07T10:15:15.2617086Z triton_convolution2d_10 0.0809 ms 44.3% 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 2025-09-07T10:15:15.2618506Z SingleProcess AUTOTUNE benchmarking takes 0.1516 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:15:15.3890765Z Autotune Choices Stats: 2025-09-07T10:15:15.3892120Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_16", "best_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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T10:15:15.3966350Z AUTOTUNE convolution(8x32x128x128, 64x32x3x3) 2025-09-07T10:15:15.3966756Z strides: [524288, 1, 4096, 32], [288, 1, 96, 32] 2025-09-07T10:15:15.3967115Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:15.3968028Z triton_convolution2d_16 0.0256 ms 100.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:15:15.3968971Z convolution 0.0276 ms 92.6% 2025-09-07T10:15:15.3969850Z triton_convolution2d_17 0.0276 ms 92.6% 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 2025-09-07T10:15:15.3971668Z triton_convolution2d_19 0.0276 ms 92.6% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:15:15.3973270Z triton_convolution2d_18 0.0307 ms 83.3% 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=8 2025-09-07T10:15:15.3974765Z triton_convolution2d_14 0.0328 ms 78.1% 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 2025-09-07T10:15:15.3976234Z triton_convolution2d_13 0.0471 ms 54.3% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:15:15.3977747Z triton_convolution2d_15 0.0717 ms 35.7% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:15:15.3978935Z SingleProcess AUTOTUNE benchmarking takes 0.1345 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:15:15.6526464Z Autotune Choices Stats: 2025-09-07T10:15:15.6527665Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_26", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:15:15.6604807Z AUTOTUNE mm(32768x64, 64x64) 2025-09-07T10:15:15.6605131Z strides: [64, 1], [1, 64] 2025-09-07T10:15:15.6605409Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:15.6606201Z triton_mm_26 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:15.6607389Z triton_mm_27 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:15.6608567Z triton_mm_28 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:15.6609983Z triton_mm_21 0.0143 ms 92.9% 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 2025-09-07T10:15:15.6611156Z triton_mm_24 0.0143 ms 92.9% 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 2025-09-07T10:15:15.6612340Z triton_mm_29 0.0143 ms 92.9% 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 2025-09-07T10:15:15.6613720Z triton_mm_31 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:15.6614890Z triton_mm_32 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:15.6616073Z triton_mm_33 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:15.6617255Z triton_mm_35 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:15:15.6618435Z SingleProcess AUTOTUNE benchmarking takes 0.2633 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:15.8020542Z Autotune Choices Stats: 2025-09-07T10:15:15.8022247Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03174399957060814, "best_triton_pos": 1, "best_triton_time": 0.03788800165057182, "best_triton_kernel": "triton_convolution2d_42", "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"} 2025-09-07T10:15:15.8098159Z AUTOTUNE convolution(8x64x64x64, 64x64x3x3) 2025-09-07T10:15:15.8098567Z strides: [262144, 1, 4096, 64], [576, 1, 192, 64] 2025-09-07T10:15:15.8098930Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:15.8099252Z convolution 0.0317 ms 100.0% 2025-09-07T10:15:15.8100130Z triton_convolution2d_42 0.0379 ms 83.8% 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 2025-09-07T10:15:15.8101627Z triton_convolution2d_44 0.0379 ms 83.8% 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 2025-09-07T10:15:15.8103117Z triton_convolution2d_41 0.0410 ms 77.5% 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 2025-09-07T10:15:15.8104607Z triton_convolution2d_43 0.0420 ms 75.6% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:15:15.8106101Z triton_convolution2d_39 0.0451 ms 70.5% 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 2025-09-07T10:15:15.8107583Z triton_convolution2d_38 0.0666 ms 47.7% 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 2025-09-07T10:15:15.8109077Z triton_convolution2d_40 0.1167 ms 27.2% 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 2025-09-07T10:15:15.8110593Z SingleProcess AUTOTUNE benchmarking takes 0.1486 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:15:15.9464786Z Autotune Choices Stats: 2025-09-07T10:15:15.9466007Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_mm_55", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:15:15.9541954Z AUTOTUNE addmm(8x64, 8x8, 8x64) 2025-09-07T10:15:15.9542306Z strides: [0, 1], [8, 1], [1, 8] 2025-09-07T10:15:15.9542642Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:15:15.9543482Z triton_mm_55 0.0072 ms 100.0% 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 2025-09-07T10:15:15.9544708Z triton_mm_56 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:15:15.9545910Z triton_mm_57 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:15.9547386Z triton_mm_58 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:15:15.9548586Z triton_mm_59 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:15.9549777Z triton_mm_60 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:15.9550961Z triton_mm_61 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:15.9551720Z bias_addmm 0.0082 ms 87.5% 2025-09-07T10:15:15.9552004Z addmm 0.0123 ms 58.3% 2025-09-07T10:15:15.9552543Z SingleProcess AUTOTUNE benchmarking takes 0.1429 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:15:16.2414568Z Autotune Choices Stats: 2025-09-07T10:15:16.2415748Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_70", "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": 0.02252800017595291, "best_triton_pos": 0} 2025-09-07T10:15:16.2494679Z AUTOTUNE mm(32768x64, 64x256) 2025-09-07T10:15:16.2494993Z strides: [64, 1], [1, 64] 2025-09-07T10:15:16.2495266Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:16.2496041Z triton_mm_70 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:16.2497234Z triton_mm_74 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:16.2498423Z triton_mm_69 0.0236 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 2025-09-07T10:15:16.2499594Z triton_mm_71 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:16.2500772Z triton_mm_72 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:16.2502193Z triton_mm_73 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:16.2503363Z triton_mm_75 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:16.2504557Z triton_mm_78 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:16.2505747Z triton_mm_80 0.0236 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:16.2506925Z triton_mm_68 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:16.2507952Z SingleProcess AUTOTUNE benchmarking takes 0.2946 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:15:16.5253423Z Autotune Choices Stats: 2025-09-07T10:15:16.5254886Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_107", "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": 0.028672000393271446, "best_triton_pos": 0} 2025-09-07T10:15:16.5333845Z AUTOTUNE mm(32768x256, 256x64) 2025-09-07T10:15:16.5334204Z strides: [256, 1], [1, 256] 2025-09-07T10:15:16.5334509Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:16.5335289Z triton_mm_107 0.0287 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 2025-09-07T10:15:16.5336493Z triton_mm_109 0.0287 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:16.5337710Z triton_mm_111 0.0287 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 2025-09-07T10:15:16.5338912Z triton_mm_116 0.0287 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:16.5340113Z triton_mm_106 0.0297 ms 96.6% 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 2025-09-07T10:15:16.5341295Z triton_mm_110 0.0297 ms 96.6% 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 2025-09-07T10:15:16.5342475Z triton_mm_113 0.0297 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=3, num_warps=4 2025-09-07T10:15:16.5343669Z triton_mm_117 0.0297 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:16.5344863Z triton_mm_108 0.0307 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:16.5346056Z triton_mm_112 0.0307 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:16.5347081Z SingleProcess AUTOTUNE benchmarking takes 0.2810 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:16.8335223Z Autotune Choices Stats: 2025-09-07T10:15:16.8336738Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_172", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.03174399957060814, "best_triton_pos": 0} 2025-09-07T10:15:16.8417776Z AUTOTUNE mm(32768x256, 256x128) 2025-09-07T10:15:16.8418080Z strides: [256, 1], [1, 256] 2025-09-07T10:15:16.8418380Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:16.8419174Z triton_mm_172 0.0317 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:16.8420388Z triton_mm_177 0.0317 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 2025-09-07T10:15:16.8421595Z triton_mm_173 0.0338 ms 93.9% 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 2025-09-07T10:15:16.8422789Z triton_mm_174 0.0338 ms 93.9% 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 2025-09-07T10:15:16.8423522Z mm 0.0348 ms 91.2% 2025-09-07T10:15:16.8424420Z triton_mm_170 0.0348 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:16.8425613Z triton_mm_171 0.0348 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:16.8426806Z triton_mm_176 0.0348 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 2025-09-07T10:15:16.8428007Z triton_mm_168 0.0358 ms 88.6% 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 2025-09-07T10:15:16.8429195Z triton_mm_178 0.0358 ms 88.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:16.8430224Z SingleProcess AUTOTUNE benchmarking takes 0.3005 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:15:16.9909275Z Autotune Choices Stats: 2025-09-07T10:15:16.9910903Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.026623999699950218, "best_triton_pos": 1, "best_triton_time": 0.04198399931192398, "best_triton_kernel": "triton_convolution2d_183", "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"} 2025-09-07T10:15:16.9988690Z AUTOTUNE convolution(8x128x64x64, 128x128x3x3) 2025-09-07T10:15:16.9989126Z strides: [524288, 1, 8192, 128], [1152, 1, 384, 128] 2025-09-07T10:15:16.9989494Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:16.9989802Z convolution 0.0266 ms 100.0% 2025-09-07T10:15:16.9990696Z triton_convolution2d_183 0.0420 ms 63.4% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:15:16.9992212Z triton_convolution2d_184 0.0502 ms 53.1% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:15:16.9993721Z triton_convolution2d_182 0.0604 ms 44.1% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:15:16.9995429Z triton_convolution2d_185 0.0604 ms 44.1% 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 2025-09-07T10:15:16.9996935Z triton_convolution2d_179 0.0625 ms 42.6% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:15:16.9998520Z triton_convolution2d_180 0.0768 ms 34.7% 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 2025-09-07T10:15:17.0000030Z triton_convolution2d_181 0.1300 ms 20.5% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:15:17.0001210Z SingleProcess AUTOTUNE benchmarking takes 0.1565 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:15:17.1947951Z Autotune Choices Stats: 2025-09-07T10:15:17.1949123Z {"num_choices": 14, "num_triton_choices": 12, "best_kernel": "triton_mm_197", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:15:17.2029730Z AUTOTUNE addmm(8x128, 8x8, 8x128) 2025-09-07T10:15:17.2030070Z strides: [0, 1], [8, 1], [1, 8] 2025-09-07T10:15:17.2030404Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:15:17.2031240Z triton_mm_197 0.0072 ms 100.0% 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 2025-09-07T10:15:17.2032455Z triton_mm_198 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:15:17.2033669Z triton_mm_199 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:17.2034879Z triton_mm_200 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:15:17.2036073Z triton_mm_201 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:17.2037270Z triton_mm_202 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:17.2038521Z triton_mm_203 0.0072 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=3, num_warps=4 2025-09-07T10:15:17.2039739Z triton_mm_204 0.0072 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=8 2025-09-07T10:15:17.2040963Z triton_mm_205 0.0072 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 2025-09-07T10:15:17.2042173Z triton_mm_206 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:17.2043212Z SingleProcess AUTOTUNE benchmarking takes 0.2026 seconds and 0.0002 seconds precompiling for 14 choices 2025-09-07T10:15:17.4656186Z Autotune Choices Stats: 2025-09-07T10:15:17.4657712Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_221", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:15:17.4738220Z AUTOTUNE mm(8192x128, 128x512) 2025-09-07T10:15:17.4738557Z strides: [128, 1], [1, 128] 2025-09-07T10:15:17.4738842Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:17.4739624Z triton_mm_221 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:17.4740834Z triton_mm_218 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:17.4742027Z triton_mm_220 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:17.4743225Z triton_mm_222 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:17.4744422Z triton_mm_224 0.0195 ms 94.7% 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 2025-09-07T10:15:17.4745796Z triton_mm_225 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:17.4746992Z triton_mm_215 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:17.4748175Z triton_mm_219 0.0205 ms 90.0% 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 2025-09-07T10:15:17.4748927Z mm 0.0215 ms 85.7% 2025-09-07T10:15:17.4749613Z triton_mm_216 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:17.4750640Z SingleProcess AUTOTUNE benchmarking takes 0.2702 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:17.6039009Z Autotune Choices Stats: 2025-09-07T10:15:17.6040648Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.026623999699950218, "best_triton_pos": 1, "best_triton_time": 0.02969600073993206, "best_triton_kernel": "triton_convolution2d_230", "best_triton_kernel_desc": "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"} 2025-09-07T10:15:17.6121380Z AUTOTUNE convolution(8x256x64x64, 512x256x1x1) 2025-09-07T10:15:17.6121803Z strides: [1048576, 1, 16384, 256], [256, 1, 256, 256] 2025-09-07T10:15:17.6122169Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:17.6122490Z convolution 0.0266 ms 100.0% 2025-09-07T10:15:17.6123381Z triton_convolution2d_230 0.0297 ms 89.7% 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 2025-09-07T10:15:17.6124895Z triton_convolution2d_232 0.0297 ms 89.7% 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 2025-09-07T10:15:17.6126386Z triton_convolution2d_231 0.0317 ms 83.9% 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 2025-09-07T10:15:17.6128076Z triton_convolution2d_233 0.0338 ms 78.8% 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 2025-09-07T10:15:17.6129567Z triton_convolution2d_227 0.0379 ms 70.3% 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 2025-09-07T10:15:17.6131061Z triton_convolution2d_228 0.0420 ms 63.4% 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 2025-09-07T10:15:17.6132563Z triton_convolution2d_229 0.0911 ms 29.2% 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 2025-09-07T10:15:17.6133994Z SingleProcess AUTOTUNE benchmarking takes 0.1376 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:15:17.8876880Z Autotune Choices Stats: 2025-09-07T10:15:17.8878110Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_245", "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": 0.01945599913597107, "best_triton_pos": 0} 2025-09-07T10:15:17.8960366Z AUTOTUNE mm(8192x512, 512x128) 2025-09-07T10:15:17.8960692Z strides: [512, 1], [1, 512] 2025-09-07T10:15:17.8960993Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:17.8961769Z triton_mm_245 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:17.8962979Z triton_mm_251 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:17.8963749Z mm 0.0205 ms 95.0% 2025-09-07T10:15:17.8964444Z triton_mm_241 0.0205 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 2025-09-07T10:15:17.8965639Z triton_mm_250 0.0205 ms 95.0% 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 2025-09-07T10:15:17.8966835Z triton_mm_243 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:17.8968014Z triton_mm_246 0.0225 ms 86.4% 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 2025-09-07T10:15:17.8969214Z triton_mm_249 0.0225 ms 86.4% 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 2025-09-07T10:15:17.8970406Z triton_mm_242 0.0236 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:17.8971586Z triton_mm_244 0.0236 ms 82.6% 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 2025-09-07T10:15:17.8972621Z SingleProcess AUTOTUNE benchmarking takes 0.2822 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:18.0459310Z Autotune Choices Stats: 2025-09-07T10:15:18.0460947Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.03993599861860275, "best_triton_kernel": "triton_convolution2d_256", "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"} 2025-09-07T10:15:18.0543985Z AUTOTUNE convolution(8x128x32x32, 128x128x3x3) 2025-09-07T10:15:18.0544401Z strides: [131072, 1, 4096, 128], [1152, 1, 384, 128] 2025-09-07T10:15:18.0544767Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:18.0545087Z convolution 0.0256 ms 100.0% 2025-09-07T10:15:18.0545983Z triton_convolution2d_256 0.0399 ms 64.1% 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 2025-09-07T10:15:18.0547490Z triton_convolution2d_257 0.0430 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=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:15:18.0549007Z triton_convolution2d_255 0.0553 ms 46.3% 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 2025-09-07T10:15:18.0550512Z triton_convolution2d_258 0.0573 ms 44.6% 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 2025-09-07T10:15:18.0552233Z triton_convolution2d_252 0.0594 ms 43.1% 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 2025-09-07T10:15:18.0553743Z triton_convolution2d_253 0.0717 ms 35.7% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:15:18.0555257Z triton_convolution2d_254 0.1188 ms 21.6% 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 2025-09-07T10:15:18.0556442Z SingleProcess AUTOTUNE benchmarking takes 0.1577 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:15:18.3225859Z Autotune Choices Stats: 2025-09-07T10:15:18.3227097Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_333", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:15:18.3309165Z AUTOTUNE mm(8192x128, 128x384) 2025-09-07T10:15:18.3309477Z strides: [128, 1], [1, 128] 2025-09-07T10:15:18.3309783Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:18.3310565Z triton_mm_333 0.0143 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 2025-09-07T10:15:18.3311792Z triton_mm_330 0.0154 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 2025-09-07T10:15:18.3313003Z triton_mm_332 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:15:18.3313764Z mm 0.0164 ms 87.5% 2025-09-07T10:15:18.3314444Z triton_mm_327 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:18.3315631Z triton_mm_331 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:18.3317084Z triton_mm_334 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:18.3318334Z triton_mm_328 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:18.3319531Z triton_mm_329 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:18.3320715Z triton_mm_325 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:18.3321732Z SingleProcess AUTOTUNE benchmarking takes 0.2680 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:18.6528133Z Autotune Choices Stats: 2025-09-07T10:15:18.6529310Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_340", "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=4", "best_time": 0.058368001133203506, "best_triton_pos": 0} 2025-09-07T10:15:18.6612884Z AUTOTUNE bmm(32x1024x32, 32x32x1024) 2025-09-07T10:15:18.6613235Z strides: [32768, 1, 1024], [32768, 1024, 1] 2025-09-07T10:15:18.6613810Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:18.6614587Z triton_bmm_340 0.0584 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:18.6615785Z triton_bmm_341 0.0604 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:18.6616992Z triton_bmm_343 0.0604 ms 96.6% 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=8 2025-09-07T10:15:18.6618200Z triton_bmm_346 0.0604 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:18.6619408Z triton_bmm_350 0.0604 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:15:18.6620621Z triton_bmm_351 0.0604 ms 96.6% 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 2025-09-07T10:15:18.6621834Z triton_bmm_352 0.0604 ms 96.6% 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=5, num_warps=8 2025-09-07T10:15:18.6623044Z triton_bmm_342 0.0614 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:18.6624220Z triton_bmm_344 0.0614 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:18.6625417Z triton_bmm_345 0.0614 ms 95.0% 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 2025-09-07T10:15:18.6626455Z SingleProcess AUTOTUNE benchmarking takes 0.3297 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:15:18.8853214Z Autotune Choices Stats: 2025-09-07T10:15:18.8854412Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_354", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:15:18.8940724Z AUTOTUNE mm(32768x32, 32x63) 2025-09-07T10:15:18.8941055Z strides: [32, 1], [1, 32] 2025-09-07T10:15:18.8941332Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:18.8942103Z triton_mm_354 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:18.8943340Z triton_mm_355 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:18.8944530Z triton_mm_356 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:18.8945724Z triton_mm_357 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:18.8946921Z triton_mm_359 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:18.8948103Z triton_mm_360 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:18.8949544Z triton_mm_361 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:18.8950737Z triton_mm_362 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:18.8951927Z triton_mm_363 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:18.8953117Z triton_mm_364 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:18.8954155Z SingleProcess AUTOTUNE benchmarking takes 0.2320 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:15:19.2738138Z Autotune Choices Stats: 2025-09-07T10:15:19.2739334Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_389", "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": 0.07475200295448303, "best_triton_pos": 0} 2025-09-07T10:15:19.2826698Z AUTOTUNE bmm(32x1024x1024, 32x1024x32) 2025-09-07T10:15:19.2827084Z strides: [1048576, 1024, 1], [32768, 1, 1024] 2025-09-07T10:15:19.2827448Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:19.2828223Z triton_bmm_389 0.0748 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 2025-09-07T10:15:19.2829441Z triton_bmm_396 0.0748 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=4, num_warps=4 2025-09-07T10:15:19.2830661Z triton_bmm_400 0.0748 ms 100.0% 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 2025-09-07T10:15:19.2831855Z triton_bmm_392 0.0758 ms 98.6% 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=3, num_warps=8 2025-09-07T10:15:19.2833043Z triton_bmm_395 0.0758 ms 98.6% 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=3, num_warps=4 2025-09-07T10:15:19.2834057Z bmm 0.0768 ms 97.3% 2025-09-07T10:15:19.2834762Z triton_bmm_386 0.0788 ms 94.8% 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 2025-09-07T10:15:19.2835972Z triton_bmm_401 0.0799 ms 93.6% 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 2025-09-07T10:15:19.2837165Z triton_bmm_387 0.0922 ms 81.1% 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 2025-09-07T10:15:19.2838410Z triton_bmm_388 0.0932 ms 80.2% 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 2025-09-07T10:15:19.2839451Z SingleProcess AUTOTUNE benchmarking takes 0.3854 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:15:19.5907877Z Autotune Choices Stats: 2025-09-07T10:15:19.5909058Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_431", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.02252800017595291, "best_triton_pos": 0} 2025-09-07T10:15:19.6000970Z AUTOTUNE mm(8192x512, 512x256) 2025-09-07T10:15:19.6001283Z strides: [512, 1], [1, 512] 2025-09-07T10:15:19.6001574Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:19.6002351Z triton_mm_431 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:19.6003571Z triton_mm_429 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:19.6004780Z triton_mm_432 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:19.6005540Z mm 0.0256 ms 88.0% 2025-09-07T10:15:19.6006240Z triton_mm_435 0.0256 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:19.6007440Z triton_mm_436 0.0256 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:19.6008631Z triton_mm_427 0.0266 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:19.6009812Z triton_mm_426 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:19.6010993Z triton_mm_430 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:19.6012190Z triton_mm_433 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:19.6013508Z SingleProcess AUTOTUNE benchmarking takes 0.3140 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:19.8050831Z Autotune Choices Stats: 2025-09-07T10:15:19.8052480Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.028672000393271446, "best_triton_pos": 1, "best_triton_time": 0.06860800087451935, "best_triton_kernel": "triton_convolution2d_442", "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"} 2025-09-07T10:15:19.8148397Z AUTOTUNE convolution(8x256x32x32, 256x256x3x3) 2025-09-07T10:15:19.8148822Z strides: [262144, 1, 8192, 256], [2304, 1, 768, 256] 2025-09-07T10:15:19.8149180Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:19.8149501Z convolution 0.0287 ms 100.0% 2025-09-07T10:15:19.8150416Z triton_convolution2d_442 0.0686 ms 41.8% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:15:19.8151932Z triton_convolution2d_441 0.1044 ms 27.5% 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 2025-09-07T10:15:19.8153459Z triton_convolution2d_444 0.1075 ms 26.7% 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 2025-09-07T10:15:19.8154965Z triton_convolution2d_443 0.1085 ms 26.4% 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 2025-09-07T10:15:19.8156765Z triton_convolution2d_438 0.1403 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=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:15:19.8158341Z triton_convolution2d_439 0.1413 ms 20.3% 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 2025-09-07T10:15:19.8159857Z triton_convolution2d_440 0.2427 ms 11.8% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:15:19.8161060Z SingleProcess AUTOTUNE benchmarking takes 0.2138 seconds and 0.0004 seconds precompiling for 8 choices 2025-09-07T10:15:20.0152434Z Autotune Choices Stats: 2025-09-07T10:15:20.0153697Z {"num_choices": 14, "num_triton_choices": 12, "best_kernel": "triton_mm_456", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:15:20.0238781Z AUTOTUNE addmm(8x256, 8x16, 16x256) 2025-09-07T10:15:20.0239131Z strides: [0, 1], [16, 1], [1, 16] 2025-09-07T10:15:20.0239484Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:15:20.0240304Z triton_mm_456 0.0072 ms 100.0% 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 2025-09-07T10:15:20.0241515Z triton_mm_457 0.0072 ms 100.0% 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 2025-09-07T10:15:20.0242707Z triton_mm_458 0.0072 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 2025-09-07T10:15:20.0243898Z triton_mm_459 0.0072 ms 100.0% 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 2025-09-07T10:15:20.0245088Z triton_mm_460 0.0072 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 2025-09-07T10:15:20.0246275Z triton_mm_461 0.0072 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=3, num_warps=4 2025-09-07T10:15:20.0247800Z triton_mm_462 0.0072 ms 100.0% 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 2025-09-07T10:15:20.0248995Z triton_mm_463 0.0072 ms 100.0% 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=8 2025-09-07T10:15:20.0250190Z triton_mm_464 0.0072 ms 100.0% 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 2025-09-07T10:15:20.0251374Z triton_mm_465 0.0072 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 2025-09-07T10:15:20.0252412Z SingleProcess AUTOTUNE benchmarking takes 0.2073 seconds and 0.0003 seconds precompiling for 14 choices 2025-09-07T10:15:20.2848947Z Autotune Choices Stats: 2025-09-07T10:15:20.2850151Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_477", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:15:20.2937246Z AUTOTUNE mm(2048x256, 256x1024) 2025-09-07T10:15:20.2937535Z strides: [256, 1], [1, 256] 2025-09-07T10:15:20.2937838Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:20.2938614Z triton_mm_477 0.0154 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 2025-09-07T10:15:20.2939824Z triton_mm_480 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:20.2940593Z mm 0.0164 ms 93.7% 2025-09-07T10:15:20.2941283Z triton_mm_474 0.0164 ms 93.7% 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 2025-09-07T10:15:20.2942461Z triton_mm_479 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:20.2943649Z triton_mm_478 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:20.2944837Z triton_mm_481 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:20.2946035Z triton_mm_483 0.0174 ms 88.2% 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 2025-09-07T10:15:20.2947230Z triton_mm_484 0.0174 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=3, num_warps=4 2025-09-07T10:15:20.2948420Z triton_mm_475 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:20.2949446Z SingleProcess AUTOTUNE benchmarking takes 0.2691 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:20.4282333Z Autotune Choices Stats: 2025-09-07T10:15:20.4284003Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_convolution2d_490", "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"} 2025-09-07T10:15:20.4370308Z AUTOTUNE convolution(8x512x32x32, 1024x512x1x1) 2025-09-07T10:15:20.4370723Z strides: [524288, 1, 16384, 512], [512, 1, 512, 512] 2025-09-07T10:15:20.4371077Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:20.4371402Z convolution 0.0246 ms 100.0% 2025-09-07T10:15:20.4372305Z triton_convolution2d_490 0.0256 ms 96.0% 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 2025-09-07T10:15:20.4374009Z triton_convolution2d_491 0.0297 ms 82.8% 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 2025-09-07T10:15:20.4375520Z triton_convolution2d_489 0.0307 ms 80.0% 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 2025-09-07T10:15:20.4377020Z triton_convolution2d_492 0.0307 ms 80.0% 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 2025-09-07T10:15:20.4378726Z triton_convolution2d_486 0.0369 ms 66.7% 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 2025-09-07T10:15:20.4380220Z triton_convolution2d_487 0.0379 ms 64.9% 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 2025-09-07T10:15:20.4381724Z triton_convolution2d_488 0.1178 ms 20.9% 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 2025-09-07T10:15:20.4382919Z SingleProcess AUTOTUNE benchmarking takes 0.1426 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:15:20.7134688Z Autotune Choices Stats: 2025-09-07T10:15:20.7135868Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_504", "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": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:15:20.7223141Z AUTOTUNE mm(2048x1024, 1024x256) 2025-09-07T10:15:20.7223510Z strides: [1024, 1], [1, 1024] 2025-09-07T10:15:20.7223817Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:20.7224604Z triton_mm_504 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:20.7225827Z triton_mm_500 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:20.7226581Z mm 0.0215 ms 85.7% 2025-09-07T10:15:20.7227275Z triton_mm_501 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:20.7228460Z triton_mm_503 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:20.7229647Z triton_mm_506 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:20.7231162Z triton_mm_494 0.0236 ms 78.3% 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 2025-09-07T10:15:20.7232370Z triton_mm_497 0.0236 ms 78.3% 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 2025-09-07T10:15:20.7233565Z triton_mm_510 0.0236 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:20.7234758Z triton_mm_502 0.0256 ms 72.0% 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 2025-09-07T10:15:20.7235790Z SingleProcess AUTOTUNE benchmarking takes 0.2836 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:20.9150660Z Autotune Choices Stats: 2025-09-07T10:15:20.9152335Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.027648000046610832, "best_triton_pos": 1, "best_triton_time": 0.06860800087451935, "best_triton_kernel": "triton_convolution2d_515", "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"} 2025-09-07T10:15:20.9239350Z AUTOTUNE convolution(8x256x16x16, 256x256x3x3) 2025-09-07T10:15:20.9240048Z strides: [65536, 1, 4096, 256], [2304, 1, 768, 256] 2025-09-07T10:15:20.9240419Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:20.9240742Z convolution 0.0276 ms 100.0% 2025-09-07T10:15:20.9241619Z triton_convolution2d_515 0.0686 ms 40.3% 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 2025-09-07T10:15:20.9243128Z triton_convolution2d_514 0.0993 ms 27.8% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:15:20.9244636Z triton_convolution2d_516 0.1055 ms 26.2% 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 2025-09-07T10:15:20.9246147Z triton_convolution2d_517 0.1055 ms 26.2% 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 2025-09-07T10:15:20.9247650Z triton_convolution2d_512 0.1341 ms 20.6% 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 2025-09-07T10:15:20.9249149Z triton_convolution2d_511 0.1382 ms 20.0% 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 2025-09-07T10:15:20.9250649Z triton_convolution2d_513 0.2304 ms 12.0% 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:15:20.9251836Z SingleProcess AUTOTUNE benchmarking takes 0.2010 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:15:21.1904400Z Autotune Choices Stats: 2025-09-07T10:15:21.1905540Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_589", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:15:21.1993668Z AUTOTUNE mm(2048x256, 256x768) 2025-09-07T10:15:21.1994208Z strides: [256, 1], [1, 256] 2025-09-07T10:15:21.1994506Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:21.1995271Z triton_mm_589 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:21.1996482Z triton_mm_586 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:21.1997744Z triton_mm_587 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:21.1998935Z triton_mm_588 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:21.2000129Z triton_mm_590 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:21.2001330Z triton_mm_592 0.0143 ms 92.9% 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 2025-09-07T10:15:21.2002692Z triton_mm_593 0.0143 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 2025-09-07T10:15:21.2003886Z triton_mm_594 0.0143 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=5, num_warps=8 2025-09-07T10:15:21.2004635Z mm 0.0154 ms 86.7% 2025-09-07T10:15:21.2005322Z triton_mm_583 0.0154 ms 86.7% 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 2025-09-07T10:15:21.2006351Z SingleProcess AUTOTUNE benchmarking takes 0.2666 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:15:21.4568953Z Autotune Choices Stats: 2025-09-07T10:15:21.4570117Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_600", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:15:21.4660373Z AUTOTUNE bmm(32x256x64, 32x64x256) 2025-09-07T10:15:21.4660724Z strides: [16384, 1, 256], [16384, 256, 1] 2025-09-07T10:15:21.4661058Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:21.4661823Z triton_bmm_600 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:21.4663032Z triton_bmm_601 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:21.4664231Z triton_bmm_602 0.0123 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 2025-09-07T10:15:21.4665440Z triton_bmm_603 0.0123 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 2025-09-07T10:15:21.4666656Z triton_bmm_604 0.0123 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 2025-09-07T10:15:21.4667875Z triton_bmm_606 0.0123 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 2025-09-07T10:15:21.4669358Z triton_bmm_607 0.0123 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 2025-09-07T10:15:21.4670576Z triton_bmm_608 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:21.4671799Z triton_bmm_609 0.0123 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 2025-09-07T10:15:21.4673011Z triton_bmm_599 0.0133 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 2025-09-07T10:15:21.4674034Z SingleProcess AUTOTUNE benchmarking takes 0.2659 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:15:21.6959394Z Autotune Choices Stats: 2025-09-07T10:15:21.6960617Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_615", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:15:21.7050407Z AUTOTUNE mm(8192x64, 64x31) 2025-09-07T10:15:21.7050746Z strides: [64, 1], [1, 64] 2025-09-07T10:15:21.7051036Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:21.7052156Z triton_mm_615 0.0092 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 2025-09-07T10:15:21.7053606Z triton_mm_616 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:21.7054807Z triton_mm_618 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:21.7056013Z triton_mm_620 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:21.7057203Z triton_mm_621 0.0092 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 2025-09-07T10:15:21.7058395Z triton_mm_622 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:21.7059583Z triton_mm_624 0.0092 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 2025-09-07T10:15:21.7060763Z triton_mm_625 0.0092 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=4, num_warps=4 2025-09-07T10:15:21.7061958Z triton_mm_629 0.0092 ms 100.0% 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 2025-09-07T10:15:21.7063134Z triton_mm_614 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:15:21.7064166Z SingleProcess AUTOTUNE benchmarking takes 0.2383 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:15:21.9570088Z Autotune Choices Stats: 2025-09-07T10:15:21.9571285Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_657", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:15:21.9661039Z AUTOTUNE bmm(32x256x256, 32x256x64) 2025-09-07T10:15:21.9661384Z strides: [65536, 256, 1], [16384, 1, 256] 2025-09-07T10:15:21.9661705Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:21.9662474Z triton_bmm_657 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:21.9663710Z triton_bmm_661 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:21.9664927Z triton_bmm_662 0.0143 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 2025-09-07T10:15:21.9666144Z triton_bmm_664 0.0143 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 2025-09-07T10:15:21.9667363Z triton_bmm_665 0.0143 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 2025-09-07T10:15:21.9668561Z triton_bmm_649 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:21.9669953Z triton_bmm_655 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:21.9671143Z triton_bmm_658 0.0154 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 2025-09-07T10:15:21.9672335Z triton_bmm_659 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:21.9673091Z bmm 0.0164 ms 87.5% 2025-09-07T10:15:21.9673627Z SingleProcess AUTOTUNE benchmarking takes 0.2579 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:22.2613459Z Autotune Choices Stats: 2025-09-07T10:15:22.2614979Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_695", "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"} 2025-09-07T10:15:22.2711762Z AUTOTUNE mm(2048x1024, 1024x512) 2025-09-07T10:15:22.2712125Z strides: [1024, 1], [1, 1024] 2025-09-07T10:15:22.2712417Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:22.2712727Z mm 0.0215 ms 100.0% 2025-09-07T10:15:22.2713467Z triton_mm_695 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:22.2714680Z triton_mm_701 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:22.2715894Z triton_mm_700 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:22.2717070Z triton_mm_691 0.0266 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:22.2718320Z triton_mm_696 0.0276 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:22.2719854Z triton_mm_693 0.0287 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:22.2721052Z triton_mm_699 0.0287 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:22.2722265Z triton_mm_692 0.0297 ms 72.4% 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 2025-09-07T10:15:22.2723456Z triton_mm_694 0.0297 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:22.2724492Z SingleProcess AUTOTUNE benchmarking takes 0.3019 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:22.5763253Z Autotune Choices Stats: 2025-09-07T10:15:22.5764516Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_717", "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": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T10:15:22.5856060Z AUTOTUNE mm(2048x512, 512x1536) 2025-09-07T10:15:22.5856434Z strides: [512, 1], [1, 512] 2025-09-07T10:15:22.5856737Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:22.5857888Z triton_mm_717 0.0246 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 2025-09-07T10:15:22.5859111Z triton_mm_718 0.0246 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 2025-09-07T10:15:22.5860318Z triton_mm_711 0.0266 ms 92.3% 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 2025-09-07T10:15:22.5861526Z triton_mm_714 0.0266 ms 92.3% 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 2025-09-07T10:15:22.5862270Z mm 0.0276 ms 88.9% 2025-09-07T10:15:22.5862965Z triton_mm_713 0.0276 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:22.5864159Z triton_mm_719 0.0276 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:22.5865345Z triton_mm_716 0.0297 ms 82.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:15:22.5866538Z triton_mm_712 0.0307 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:22.5867721Z triton_mm_715 0.0307 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:22.5868752Z SingleProcess AUTOTUNE benchmarking takes 0.3126 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:22.8455780Z Autotune Choices Stats: 2025-09-07T10:15:22.8456957Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_729", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:15:22.8549430Z AUTOTUNE bmm(32x256x128, 32x128x256) 2025-09-07T10:15:22.8550046Z strides: [32768, 1, 256], [32768, 256, 1] 2025-09-07T10:15:22.8550366Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:22.8551138Z triton_bmm_729 0.0143 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 2025-09-07T10:15:22.8552375Z triton_bmm_732 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:22.8553581Z triton_bmm_726 0.0154 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=2, num_warps=4 2025-09-07T10:15:22.8554781Z triton_bmm_731 0.0154 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 2025-09-07T10:15:22.8555990Z triton_bmm_735 0.0154 ms 93.3% 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 2025-09-07T10:15:22.8557178Z triton_bmm_725 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:22.8558642Z triton_bmm_727 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:22.8559839Z triton_bmm_730 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:22.8561039Z triton_bmm_733 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:22.8562243Z triton_bmm_734 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:15:22.8563280Z SingleProcess AUTOTUNE benchmarking takes 0.2686 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:23.0848854Z Autotune Choices Stats: 2025-09-07T10:15:23.0850000Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_739", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:15:23.0942707Z AUTOTUNE mm(8192x128, 128x31) 2025-09-07T10:15:23.0943060Z strides: [128, 1], [1, 128] 2025-09-07T10:15:23.0943360Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:23.0944144Z triton_mm_739 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:23.0945372Z triton_mm_740 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:23.0946553Z triton_mm_742 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:23.0947755Z triton_mm_744 0.0113 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=2, num_warps=4 2025-09-07T10:15:23.0948942Z triton_mm_745 0.0113 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 2025-09-07T10:15:23.0950126Z triton_mm_746 0.0113 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 2025-09-07T10:15:23.0955492Z triton_mm_748 0.0113 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 2025-09-07T10:15:23.0956709Z triton_mm_749 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:23.0958029Z triton_mm_750 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:23.0959219Z triton_mm_751 0.0113 ms 100.0% 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 2025-09-07T10:15:23.0960266Z SingleProcess AUTOTUNE benchmarking takes 0.2385 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:15:23.3552113Z Autotune Choices Stats: 2025-09-07T10:15:23.3553323Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_788", "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} 2025-09-07T10:15:23.3645208Z AUTOTUNE bmm(32x256x256, 32x256x128) 2025-09-07T10:15:23.3645572Z strides: [65536, 256, 1], [32768, 1, 256] 2025-09-07T10:15:23.3645892Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:23.3646679Z triton_bmm_788 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 2025-09-07T10:15:23.3647906Z triton_bmm_779 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:23.3649118Z triton_bmm_781 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:23.3650315Z triton_bmm_782 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:23.3651515Z triton_bmm_783 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:23.3652939Z triton_bmm_784 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:23.3654154Z triton_bmm_787 0.0174 ms 94.1% 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 2025-09-07T10:15:23.3654926Z bmm 0.0184 ms 88.9% 2025-09-07T10:15:23.3655628Z triton_bmm_785 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:23.3656840Z triton_bmm_789 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:23.3657886Z SingleProcess AUTOTUNE benchmarking takes 0.2670 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:23.6204799Z Autotune Choices Stats: 2025-09-07T10:15:23.6205993Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_800", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:15:23.6299127Z AUTOTUNE mm(512x512, 512x1536) 2025-09-07T10:15:23.6299434Z strides: [512, 1], [1, 512] 2025-09-07T10:15:23.6299751Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:23.6300548Z triton_mm_800 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:23.6301782Z triton_mm_801 0.0143 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 2025-09-07T10:15:23.6302993Z triton_mm_803 0.0143 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 2025-09-07T10:15:23.6304192Z triton_mm_797 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:23.6304923Z mm 0.0164 ms 87.5% 2025-09-07T10:15:23.6305620Z triton_mm_799 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:23.6307011Z triton_mm_802 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:23.6308218Z triton_mm_807 0.0164 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 2025-09-07T10:15:23.6309422Z triton_mm_798 0.0174 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 2025-09-07T10:15:23.6310624Z triton_mm_806 0.0174 ms 82.4% 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 2025-09-07T10:15:23.6311653Z SingleProcess AUTOTUNE benchmarking takes 0.2647 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:23.7721962Z Autotune Choices Stats: 2025-09-07T10:15:23.7723662Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.018432000651955605, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_convolution2d_812", "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"} 2025-09-07T10:15:23.7817095Z AUTOTUNE convolution(8x1024x16x16, 1536x1024x1x1) 2025-09-07T10:15:23.7817553Z strides: [262144, 1, 16384, 1024], [1024, 1, 1024, 1024] 2025-09-07T10:15:23.7817950Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:23.7818281Z convolution 0.0184 ms 100.0% 2025-09-07T10:15:23.7819178Z triton_convolution2d_812 0.0348 ms 52.9% 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 2025-09-07T10:15:23.7820695Z triton_convolution2d_811 0.0461 ms 40.0% 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 2025-09-07T10:15:23.7822198Z triton_convolution2d_813 0.0471 ms 39.1% 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 2025-09-07T10:15:23.7823694Z triton_convolution2d_814 0.0502 ms 36.7% 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 2025-09-07T10:15:23.7825488Z triton_convolution2d_808 0.0584 ms 31.6% 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 2025-09-07T10:15:23.7826980Z triton_convolution2d_809 0.0645 ms 28.6% 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 2025-09-07T10:15:23.7828475Z triton_convolution2d_810 0.0911 ms 20.2% 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 2025-09-07T10:15:23.7829661Z SingleProcess AUTOTUNE benchmarking takes 0.1510 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:15:24.0664808Z Autotune Choices Stats: 2025-09-07T10:15:24.0666339Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.015359999611973763, "best_triton_pos": 1, "best_triton_time": 0.016383999958634377, "best_triton_kernel": "triton_mm_823", "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"} 2025-09-07T10:15:24.0760246Z AUTOTUNE mm(512x1536, 1536x512) 2025-09-07T10:15:24.0760571Z strides: [1536, 1], [1, 1536] 2025-09-07T10:15:24.0761154Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:24.0761470Z mm 0.0154 ms 100.0% 2025-09-07T10:15:24.0762180Z triton_mm_823 0.0164 ms 93.7% 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 2025-09-07T10:15:24.0763378Z triton_mm_819 0.0215 ms 71.4% 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 2025-09-07T10:15:24.0764574Z triton_mm_822 0.0215 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:24.0765744Z triton_mm_816 0.0225 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:24.0766937Z triton_mm_826 0.0236 ms 65.2% 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 2025-09-07T10:15:24.0768123Z triton_mm_825 0.0256 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:24.0769303Z triton_mm_817 0.0266 ms 57.7% 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 2025-09-07T10:15:24.0770487Z triton_mm_818 0.0266 ms 57.7% 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 2025-09-07T10:15:24.0771675Z triton_mm_828 0.0266 ms 57.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:24.0772943Z SingleProcess AUTOTUNE benchmarking takes 0.2926 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:24.2831802Z Autotune Choices Stats: 2025-09-07T10:15:24.2833003Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_852", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:15:24.2927161Z AUTOTUNE bmm(32x64x128, 32x128x64) 2025-09-07T10:15:24.2927487Z strides: [8192, 1, 64], [8192, 64, 1] 2025-09-07T10:15:24.2927813Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:24.2928591Z triton_bmm_852 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:24.2929828Z triton_bmm_853 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:24.2931030Z triton_bmm_854 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:24.2932236Z triton_bmm_855 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:24.2933664Z triton_bmm_858 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:24.2934872Z triton_bmm_859 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:24.2936291Z triton_bmm_860 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:24.2937501Z triton_bmm_861 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:24.2938704Z triton_bmm_862 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:24.2939917Z triton_bmm_863 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:24.2940967Z SingleProcess AUTOTUNE benchmarking takes 0.2123 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T10:15:24.5047813Z Autotune Choices Stats: 2025-09-07T10:15:24.5049004Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_868", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:15:24.5145905Z AUTOTUNE mm(2048x128, 128x15) 2025-09-07T10:15:24.5146273Z strides: [128, 1], [1, 128] 2025-09-07T10:15:24.5146571Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:24.5147341Z triton_mm_868 0.0082 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 2025-09-07T10:15:24.5148536Z triton_mm_869 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:24.5149737Z triton_mm_873 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:24.5150923Z triton_mm_874 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:24.5152106Z triton_mm_875 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:24.5153578Z triton_mm_867 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:15:24.5154767Z triton_mm_870 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:24.5155963Z triton_mm_876 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:24.5157137Z triton_mm_877 0.0092 ms 88.9% 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 2025-09-07T10:15:24.5158396Z triton_mm_878 0.0092 ms 88.9% 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 2025-09-07T10:15:24.5159427Z SingleProcess AUTOTUNE benchmarking takes 0.2211 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:15:24.7451813Z Autotune Choices Stats: 2025-09-07T10:15:24.7453352Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_899", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:15:24.7543833Z AUTOTUNE bmm(32x64x64, 32x64x128) 2025-09-07T10:15:24.7544228Z strides: [4096, 64, 1], [8192, 1, 64] 2025-09-07T10:15:24.7544561Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:24.7545334Z triton_bmm_899 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:24.7546558Z triton_bmm_902 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:24.7547779Z triton_bmm_905 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 2025-09-07T10:15:24.7548990Z triton_bmm_906 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:24.7550189Z triton_bmm_911 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:24.7551391Z triton_bmm_912 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:24.7552590Z triton_bmm_898 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:15:24.7553765Z triton_bmm_900 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:24.7554961Z triton_bmm_901 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:24.7556153Z triton_bmm_903 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:24.7557189Z SingleProcess AUTOTUNE benchmarking takes 0.2363 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:15:25.0545800Z Autotune Choices Stats: 2025-09-07T10:15:25.0547726Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_944", "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"} 2025-09-07T10:15:25.0644413Z AUTOTUNE mm(512x1536, 1536x1280) 2025-09-07T10:15:25.0644733Z strides: [1536, 1], [1, 1536] 2025-09-07T10:15:25.0645054Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:25.0645365Z mm 0.0205 ms 100.0% 2025-09-07T10:15:25.0646069Z triton_mm_944 0.0246 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 2025-09-07T10:15:25.0647269Z triton_mm_940 0.0266 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:25.0648452Z triton_mm_941 0.0266 ms 76.9% 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 2025-09-07T10:15:25.0649636Z triton_mm_943 0.0266 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:25.0651043Z triton_mm_946 0.0266 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:25.0652242Z triton_mm_937 0.0317 ms 64.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:25.0653682Z triton_mm_949 0.0338 ms 60.6% 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 2025-09-07T10:15:25.0654888Z triton_mm_942 0.0348 ms 58.8% 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 2025-09-07T10:15:25.0656074Z triton_mm_945 0.0348 ms 58.8% 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 2025-09-07T10:15:25.0657102Z SingleProcess AUTOTUNE benchmarking takes 0.3068 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:15:57.4970062Z Autotune Choices Stats: 2025-09-07T10:15:57.4971309Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_1005", "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=5, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:15:57.5067629Z AUTOTUNE bmm(32x64x64, 32x64x128) 2025-09-07T10:15:57.5068008Z strides: [4096, 1, 64], [128, 4096, 1] 2025-09-07T10:15:57.5068324Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:57.5069114Z triton_bmm_1005 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:57.5070362Z triton_bmm_1008 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 2025-09-07T10:15:57.5071577Z triton_bmm_1009 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:57.5072789Z triton_bmm_1014 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:57.5074378Z triton_bmm_1015 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:57.5075572Z triton_bmm_1001 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:15:57.5076778Z triton_bmm_1002 0.0092 ms 88.9% 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 2025-09-07T10:15:57.5078068Z triton_bmm_1003 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:57.5079280Z triton_bmm_1004 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:57.5080484Z triton_bmm_1007 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:57.5081519Z SingleProcess AUTOTUNE benchmarking takes 0.2285 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:15:57.7007025Z Autotune Choices Stats: 2025-09-07T10:15:57.7008554Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_1019", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:15:57.7101227Z AUTOTUNE bmm(32x64x128, 32x128x64) 2025-09-07T10:15:57.7101570Z strides: [128, 4096, 1], [8192, 64, 1] 2025-09-07T10:15:57.7101880Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:57.7102659Z triton_bmm_1019 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:57.7103900Z triton_bmm_1020 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:57.7105112Z triton_bmm_1021 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:57.7106319Z triton_bmm_1022 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:57.7107539Z triton_bmm_1025 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:57.7108754Z triton_bmm_1026 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:57.7109957Z triton_bmm_1027 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:57.7111177Z triton_bmm_1028 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:57.7112385Z triton_bmm_1029 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:57.7113597Z triton_bmm_1030 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:57.7114888Z SingleProcess AUTOTUNE benchmarking takes 0.2028 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:15:57.9966352Z Autotune Choices Stats: 2025-09-07T10:15:57.9967893Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.028672000393271446, "best_triton_kernel": "triton_mm_1034", "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=2, num_warps=2"} 2025-09-07T10:15:58.0065102Z AUTOTUNE mm(15x2048, 2048x128) 2025-09-07T10:15:58.0065447Z strides: [1, 15], [128, 1] 2025-09-07T10:15:58.0065748Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:58.0066049Z mm 0.0143 ms 100.0% 2025-09-07T10:15:58.0066772Z triton_mm_1034 0.0287 ms 50.0% 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 2025-09-07T10:15:58.0068010Z triton_mm_1037 0.0287 ms 50.0% 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 2025-09-07T10:15:58.0069209Z triton_mm_1041 0.0287 ms 50.0% 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 2025-09-07T10:15:58.0070730Z triton_mm_1040 0.0297 ms 48.3% 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 2025-09-07T10:15:58.0071937Z triton_mm_1044 0.0317 ms 45.2% 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 2025-09-07T10:15:58.0073133Z triton_mm_1045 0.0338 ms 42.4% 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 2025-09-07T10:15:58.0074348Z triton_mm_1049 0.0358 ms 40.0% 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=5, num_warps=8 2025-09-07T10:15:58.0075534Z triton_mm_1047 0.0471 ms 30.4% 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=4, num_warps=4 2025-09-07T10:15:58.0076723Z triton_mm_1035 0.0481 ms 29.8% 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 2025-09-07T10:15:58.0077859Z SingleProcess AUTOTUNE benchmarking takes 0.2957 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:15:58.2136916Z Autotune Choices Stats: 2025-09-07T10:15:58.2138106Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1050", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:15:58.2233384Z AUTOTUNE mm(2048x15, 15x128) 2025-09-07T10:15:58.2233707Z strides: [15, 1], [128, 1] 2025-09-07T10:15:58.2234001Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:58.2234777Z triton_mm_1050 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:15:58.2236000Z triton_mm_1052 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:58.2237203Z triton_mm_1051 0.0082 ms 87.5% 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 2025-09-07T10:15:58.2238689Z triton_mm_1053 0.0082 ms 87.5% 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 2025-09-07T10:15:58.2239883Z triton_mm_1054 0.0082 ms 87.5% 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 2025-09-07T10:15:58.2241088Z triton_mm_1055 0.0082 ms 87.5% 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=2, num_warps=4 2025-09-07T10:15:58.2242290Z triton_mm_1056 0.0082 ms 87.5% 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 2025-09-07T10:15:58.2243482Z triton_mm_1057 0.0082 ms 87.5% 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 2025-09-07T10:15:58.2244679Z triton_mm_1058 0.0082 ms 87.5% 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 2025-09-07T10:15:58.2245880Z triton_mm_1059 0.0082 ms 87.5% 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 2025-09-07T10:15:58.2247106Z SingleProcess AUTOTUNE benchmarking takes 0.2155 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:15:58.4589941Z Autotune Choices Stats: 2025-09-07T10:15:58.4591143Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_1100", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:15:58.4687235Z AUTOTUNE bmm(32x128x64, 32x64x64) 2025-09-07T10:15:58.4687604Z strides: [8192, 64, 1], [4096, 64, 1] 2025-09-07T10:15:58.4687935Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:58.4688701Z triton_bmm_1100 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:58.4689952Z triton_bmm_1101 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:58.4691175Z triton_bmm_1103 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:58.4692390Z triton_bmm_1106 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 2025-09-07T10:15:58.4693847Z triton_bmm_1107 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:58.4695065Z triton_bmm_1108 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:58.4696282Z triton_bmm_1109 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:58.4697477Z triton_bmm_1110 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:58.4698694Z triton_bmm_1111 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=4, num_warps=4 2025-09-07T10:15:58.4699713Z bmm 0.0092 ms 88.9% 2025-09-07T10:15:58.4700248Z SingleProcess AUTOTUNE benchmarking takes 0.2389 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:15:58.7237239Z Autotune Choices Stats: 2025-09-07T10:15:58.7238544Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_1143", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:15:58.7333802Z AUTOTUNE bmm(32x256x256, 32x256x128) 2025-09-07T10:15:58.7334251Z strides: [65536, 1, 256], [128, 4096, 1] 2025-09-07T10:15:58.7334686Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:58.7335721Z triton_bmm_1143 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:58.7337414Z triton_bmm_1144 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:58.7339092Z triton_bmm_1146 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:58.7341080Z triton_bmm_1149 0.0164 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 2025-09-07T10:15:58.7342785Z triton_bmm_1150 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 2025-09-07T10:15:58.7343840Z bmm 0.0174 ms 94.1% 2025-09-07T10:15:58.7344794Z triton_bmm_1141 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:58.7346446Z triton_bmm_1145 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:58.7347671Z triton_bmm_1147 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:58.7348888Z triton_bmm_1151 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:15:58.7349940Z SingleProcess AUTOTUNE benchmarking takes 0.2614 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:15:58.9814093Z Autotune Choices Stats: 2025-09-07T10:15:58.9815299Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_1158", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:15:58.9913344Z AUTOTUNE bmm(32x256x128, 32x128x256) 2025-09-07T10:15:58.9913723Z strides: [128, 4096, 1], [32768, 256, 1] 2025-09-07T10:15:58.9914050Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:58.9914853Z triton_bmm_1158 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:58.9916079Z triton_bmm_1161 0.0143 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 2025-09-07T10:15:58.9917366Z triton_bmm_1164 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:58.9918886Z triton_bmm_1162 0.0154 ms 93.3% 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 2025-09-07T10:15:58.9920108Z triton_bmm_1165 0.0154 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=4, num_warps=8 2025-09-07T10:15:58.9921328Z triton_bmm_1167 0.0154 ms 93.3% 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 2025-09-07T10:15:58.9922517Z triton_bmm_1157 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:15:58.9923709Z triton_bmm_1159 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:58.9924920Z triton_bmm_1163 0.0164 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 2025-09-07T10:15:58.9926130Z triton_bmm_1166 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:15:58.9927320Z SingleProcess AUTOTUNE benchmarking takes 0.2572 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:16:00.4007105Z Autotune Choices Stats: 2025-09-07T10:16:00.4008821Z {"num_choices": 24, "num_triton_choices": 17, "best_kernel": "decompose_k_mm_64_split_5", "best_kernel_desc": "k_split=64", "best_time": 0.01740800030529499, "best_triton_pos": 6, "best_triton_time": 0.09113600105047226, "best_triton_kernel": "triton_mm_1178", "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"} 2025-09-07T10:16:00.4117445Z AUTOTUNE mm(31x8192, 8192x128) 2025-09-07T10:16:00.4117750Z strides: [1, 31], [128, 1] 2025-09-07T10:16:00.4118069Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:00.4118446Z decompose_k_mm_64_split_5 0.0174 ms 100.0% k_split=64 2025-09-07T10:16:00.4118808Z mm 0.0195 ms 89.5% 2025-09-07T10:16:00.4119116Z decompose_k_mm_32_split_4 0.0215 ms 81.0% k_split=32 2025-09-07T10:16:00.4119529Z decompose_k_mm_16_split_3 0.0256 ms 68.0% k_split=16 2025-09-07T10:16:00.4119931Z decompose_k_mm_8_split_2 0.0369 ms 47.2% k_split=8 2025-09-07T10:16:00.4120327Z decompose_k_mm_4_split_1 0.0553 ms 31.5% k_split=4 2025-09-07T10:16:00.4121138Z triton_mm_1178 0.0911 ms 19.1% 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 2025-09-07T10:16:00.4121941Z decompose_k_mm_2_split_0 0.0973 ms 17.9% k_split=2 2025-09-07T10:16:00.4122734Z triton_mm_1171 0.1075 ms 16.2% 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 2025-09-07T10:16:00.4123934Z triton_mm_1174 0.1106 ms 15.7% 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=5, num_warps=4 2025-09-07T10:16:00.4124977Z SingleProcess AUTOTUNE benchmarking takes 1.4197 seconds and 0.0003 seconds precompiling for 24 choices 2025-09-07T10:16:00.6423157Z Autotune Choices Stats: 2025-09-07T10:16:00.6424325Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1187", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:16:00.6522002Z AUTOTUNE mm(8192x31, 31x128) 2025-09-07T10:16:00.6522315Z strides: [31, 1], [128, 1] 2025-09-07T10:16:00.6522608Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:00.6523390Z triton_mm_1187 0.0092 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 2025-09-07T10:16:00.6524616Z triton_mm_1189 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:16:00.6525822Z triton_mm_1192 0.0092 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 2025-09-07T10:16:00.6527015Z triton_mm_1193 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:16:00.6528227Z triton_mm_1194 0.0092 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 2025-09-07T10:16:00.6529428Z triton_mm_1195 0.0092 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=5, num_warps=4 2025-09-07T10:16:00.6530860Z triton_mm_1196 0.0092 ms 100.0% 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 2025-09-07T10:16:00.6532079Z triton_mm_1197 0.0092 ms 100.0% 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=4, num_warps=8 2025-09-07T10:16:00.6533534Z triton_mm_1198 0.0092 ms 100.0% 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=4, num_warps=4 2025-09-07T10:16:00.6534769Z triton_mm_1199 0.0092 ms 100.0% 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 2025-09-07T10:16:00.6535806Z SingleProcess AUTOTUNE benchmarking takes 0.2288 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:16:00.9180212Z Autotune Choices Stats: 2025-09-07T10:16:00.9181462Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_1250", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:16:00.9279290Z AUTOTUNE bmm(32x128x256, 32x256x256) 2025-09-07T10:16:00.9279714Z strides: [32768, 256, 1], [65536, 256, 1] 2025-09-07T10:16:00.9280059Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:00.9280872Z triton_bmm_1250 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:00.9282133Z triton_bmm_1253 0.0164 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 2025-09-07T10:16:00.9283374Z triton_bmm_1254 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 2025-09-07T10:16:00.9284595Z triton_bmm_1245 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:16:00.9285788Z triton_bmm_1247 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:00.9287317Z triton_bmm_1248 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:16:00.9288526Z triton_bmm_1249 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:00.9289742Z triton_bmm_1251 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:16:00.9290954Z triton_bmm_1255 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:16:00.9292154Z triton_bmm_1244 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:16:00.9293432Z SingleProcess AUTOTUNE benchmarking takes 0.2596 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:16:01.1748244Z Autotune Choices Stats: 2025-09-07T10:16:01.1749758Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_1281", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:16:01.1849045Z AUTOTUNE bmm(32x256x256, 32x256x64) 2025-09-07T10:16:01.1849384Z strides: [65536, 1, 256], [64, 2048, 1] 2025-09-07T10:16:01.1849714Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:01.1850472Z triton_bmm_1281 0.0143 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 2025-09-07T10:16:01.1851701Z triton_bmm_1283 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:01.1853105Z triton_bmm_1284 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:16:01.1854333Z triton_bmm_1285 0.0143 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 2025-09-07T10:16:01.1855547Z triton_bmm_1287 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:01.1856769Z triton_bmm_1288 0.0143 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 2025-09-07T10:16:01.1857991Z triton_bmm_1290 0.0143 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 2025-09-07T10:16:01.1859201Z triton_bmm_1291 0.0143 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 2025-09-07T10:16:01.1860416Z triton_bmm_1275 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:16:01.1861597Z triton_bmm_1276 0.0154 ms 93.3% 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 2025-09-07T10:16:01.1862629Z SingleProcess AUTOTUNE benchmarking takes 0.2536 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:16:01.4344870Z Autotune Choices Stats: 2025-09-07T10:16:01.4346066Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_1297", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:16:01.4444857Z AUTOTUNE bmm(32x256x64, 32x64x256) 2025-09-07T10:16:01.4445209Z strides: [64, 2048, 1], [16384, 256, 1] 2025-09-07T10:16:01.4445557Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:01.4446328Z triton_bmm_1297 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:16:01.4447559Z triton_bmm_1298 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:16:01.4448787Z triton_bmm_1299 0.0123 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 2025-09-07T10:16:01.4449986Z triton_bmm_1300 0.0123 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 2025-09-07T10:16:01.4451445Z triton_bmm_1301 0.0123 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 2025-09-07T10:16:01.4452906Z triton_bmm_1303 0.0123 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 2025-09-07T10:16:01.4454113Z triton_bmm_1304 0.0123 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 2025-09-07T10:16:01.4455343Z triton_bmm_1305 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:01.4456553Z triton_bmm_1296 0.0133 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 2025-09-07T10:16:01.4457757Z triton_bmm_1302 0.0133 ms 92.3% 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 2025-09-07T10:16:01.4458801Z SingleProcess AUTOTUNE benchmarking takes 0.2589 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:16:02.7285402Z Autotune Choices Stats: 2025-09-07T10:16:02.7287133Z {"num_choices": 22, "num_triton_choices": 15, "best_kernel": "decompose_k_mm_64_split_17", "best_kernel_desc": "k_split=64", "best_time": 0.015359999611973763, "best_triton_pos": 6, "best_triton_time": 0.09011200070381165, "best_triton_kernel": "triton_mm_1319", "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"} 2025-09-07T10:16:02.7402137Z AUTOTUNE mm(31x8192, 8192x64) 2025-09-07T10:16:02.7402501Z strides: [1, 31], [64, 1] 2025-09-07T10:16:02.7402785Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:02.7403191Z decompose_k_mm_64_split_17 0.0154 ms 100.0% k_split=64 2025-09-07T10:16:02.7403557Z mm 0.0174 ms 88.2% 2025-09-07T10:16:02.7403866Z decompose_k_mm_32_split_16 0.0174 ms 88.2% k_split=32 2025-09-07T10:16:02.7404280Z decompose_k_mm_16_split_15 0.0246 ms 62.5% k_split=16 2025-09-07T10:16:02.7404691Z decompose_k_mm_8_split_14 0.0348 ms 44.1% k_split=8 2025-09-07T10:16:02.7405092Z decompose_k_mm_4_split_13 0.0553 ms 27.8% k_split=4 2025-09-07T10:16:02.7405907Z triton_mm_1319 0.0901 ms 17.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:16:02.7407470Z triton_mm_1323 0.0901 ms 17.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:16:02.7408267Z decompose_k_mm_2_split_12 0.0983 ms 15.6% k_split=2 2025-09-07T10:16:02.7409071Z triton_mm_1312 0.1137 ms 13.5% 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 2025-09-07T10:16:02.7410111Z SingleProcess AUTOTUNE benchmarking takes 1.2950 seconds and 0.0002 seconds precompiling for 22 choices 2025-09-07T10:16:02.9566832Z Autotune Choices Stats: 2025-09-07T10:16:02.9568057Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1326", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:16:02.9669725Z AUTOTUNE mm(8192x31, 31x64) 2025-09-07T10:16:02.9670069Z strides: [31, 1], [64, 1] 2025-09-07T10:16:02.9670366Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:02.9671158Z triton_mm_1326 0.0082 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 2025-09-07T10:16:02.9672750Z triton_mm_1327 0.0082 ms 100.0% 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 2025-09-07T10:16:02.9673972Z triton_mm_1328 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:16:02.9675187Z triton_mm_1330 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:16:02.9676386Z triton_mm_1333 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:16:02.9677665Z triton_mm_1334 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:16:02.9678872Z triton_mm_1335 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:02.9680083Z triton_mm_1336 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:16:02.9681296Z triton_mm_1337 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:16:02.9682508Z triton_mm_1338 0.0082 ms 100.0% 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 2025-09-07T10:16:02.9683539Z SingleProcess AUTOTUNE benchmarking takes 0.2164 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:16:03.2011416Z Autotune Choices Stats: 2025-09-07T10:16:03.2012596Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_1382", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:16:03.2112104Z AUTOTUNE bmm(32x64x256, 32x256x256) 2025-09-07T10:16:03.2112669Z strides: [16384, 256, 1], [65536, 256, 1] 2025-09-07T10:16:03.2113004Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:03.2113796Z triton_bmm_1382 0.0143 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 2025-09-07T10:16:03.2115023Z triton_bmm_1383 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:16:03.2116246Z triton_bmm_1384 0.0143 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 2025-09-07T10:16:03.2117521Z triton_bmm_1385 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:03.2118725Z triton_bmm_1374 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:16:03.2119930Z triton_bmm_1375 0.0154 ms 93.3% 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 2025-09-07T10:16:03.2121308Z triton_bmm_1380 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:16:03.2122510Z triton_bmm_1386 0.0154 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 2025-09-07T10:16:03.2123710Z triton_bmm_1388 0.0154 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=5, num_warps=8 2025-09-07T10:16:03.2124917Z triton_bmm_1376 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:16:03.2125954Z SingleProcess AUTOTUNE benchmarking takes 0.2280 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:16:03.5477897Z Autotune Choices Stats: 2025-09-07T10:16:03.5479060Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_1415", "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=3, num_warps=4", "best_time": 0.0727040022611618, "best_triton_pos": 0} 2025-09-07T10:16:03.5579492Z AUTOTUNE bmm(32x1024x1024, 32x1024x32) 2025-09-07T10:16:03.5579854Z strides: [1048576, 1, 1024], [32, 1024, 1] 2025-09-07T10:16:03.5580194Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:03.5580961Z triton_bmm_1415 0.0727 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 2025-09-07T10:16:03.5582185Z triton_bmm_1419 0.0727 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:03.5583401Z triton_bmm_1410 0.0737 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 2025-09-07T10:16:03.5584601Z triton_bmm_1414 0.0737 ms 98.6% 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=3, num_warps=8 2025-09-07T10:16:03.5585800Z triton_bmm_1417 0.0737 ms 98.6% 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=3, num_warps=4 2025-09-07T10:16:03.5587000Z triton_bmm_1422 0.0737 ms 98.6% 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=3, num_warps=4 2025-09-07T10:16:03.5588418Z triton_bmm_1411 0.0748 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 2025-09-07T10:16:03.5589623Z triton_bmm_1416 0.0748 ms 97.3% 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=4, num_warps=8 2025-09-07T10:16:03.5590824Z triton_bmm_1418 0.0748 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=4, num_warps=4 2025-09-07T10:16:03.5592016Z triton_bmm_1420 0.0748 ms 97.3% 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 2025-09-07T10:16:03.5593063Z SingleProcess AUTOTUNE benchmarking takes 0.3433 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:16:03.8726016Z Autotune Choices Stats: 2025-09-07T10:16:03.8727188Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_1428", "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=4", "best_time": 0.05734400078654289, "best_triton_pos": 0} 2025-09-07T10:16:03.8829303Z AUTOTUNE bmm(32x1024x32, 32x32x1024) 2025-09-07T10:16:03.8829634Z strides: [32, 1024, 1], [32768, 1024, 1] 2025-09-07T10:16:03.8829956Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:03.8830730Z triton_bmm_1428 0.0573 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:16:03.8831963Z triton_bmm_1434 0.0584 ms 98.2% 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 2025-09-07T10:16:03.8833181Z triton_bmm_1429 0.0594 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:16:03.8834384Z triton_bmm_1430 0.0594 ms 96.6% 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 2025-09-07T10:16:03.8835579Z triton_bmm_1431 0.0594 ms 96.6% 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=8 2025-09-07T10:16:03.8836758Z triton_bmm_1432 0.0594 ms 96.6% 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=5, num_warps=4 2025-09-07T10:16:03.8838027Z triton_bmm_1435 0.0594 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:16:03.8839251Z triton_bmm_1438 0.0594 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:16:03.8840472Z triton_bmm_1439 0.0594 ms 96.6% 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 2025-09-07T10:16:03.8841699Z triton_bmm_1440 0.0594 ms 96.6% 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=5, num_warps=8 2025-09-07T10:16:03.8842752Z SingleProcess AUTOTUNE benchmarking takes 0.3243 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:16:05.6858920Z Autotune Choices Stats: 2025-09-07T10:16:05.6860654Z {"num_choices": 23, "num_triton_choices": 14, "best_kernel": "decompose_k_mm_128_split_30", "best_kernel_desc": "k_split=128", "best_time": 0.02252800017595291, "best_triton_pos": 9, "best_triton_time": 0.3850240111351013, "best_triton_kernel": "triton_mm_1445", "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"} 2025-09-07T10:16:05.6989116Z AUTOTUNE mm(63x32768, 32768x32) 2025-09-07T10:16:05.6989470Z strides: [1, 63], [32, 1] 2025-09-07T10:16:05.6989792Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:05.6990179Z decompose_k_mm_128_split_30 0.0225 ms 100.0% k_split=128 2025-09-07T10:16:05.6990608Z decompose_k_mm_256_split_31 0.0256 ms 88.0% k_split=256 2025-09-07T10:16:05.6991032Z decompose_k_mm_64_split_29 0.0276 ms 81.5% k_split=64 2025-09-07T10:16:05.6991392Z mm 0.0307 ms 73.3% 2025-09-07T10:16:05.6991698Z decompose_k_mm_32_split_28 0.0358 ms 62.9% k_split=32 2025-09-07T10:16:05.6992123Z decompose_k_mm_16_split_27 0.0573 ms 39.3% k_split=16 2025-09-07T10:16:05.6992518Z decompose_k_mm_8_split_26 0.1004 ms 22.4% k_split=8 2025-09-07T10:16:05.6992918Z decompose_k_mm_4_split_25 0.1823 ms 12.4% k_split=4 2025-09-07T10:16:05.6993318Z decompose_k_mm_2_split_24 0.3564 ms 6.3% k_split=2 2025-09-07T10:16:05.6994135Z triton_mm_1445 0.3850 ms 5.9% 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 2025-09-07T10:16:05.6995489Z SingleProcess AUTOTUNE benchmarking takes 1.8154 seconds and 0.0002 seconds precompiling for 23 choices 2025-09-07T10:16:05.9385804Z Autotune Choices Stats: 2025-09-07T10:16:05.9387014Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1456", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:16:05.9490065Z AUTOTUNE mm(32768x63, 63x32) 2025-09-07T10:16:05.9490380Z strides: [63, 1], [32, 1] 2025-09-07T10:16:05.9490685Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:05.9491461Z triton_mm_1456 0.0133 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 2025-09-07T10:16:05.9492932Z triton_mm_1459 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:16:05.9494148Z triton_mm_1462 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:16:05.9495359Z triton_mm_1465 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:05.9496575Z triton_mm_1466 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:16:05.9497782Z triton_mm_1455 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:16:05.9498985Z triton_mm_1460 0.0143 ms 92.9% 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=2, num_warps=4 2025-09-07T10:16:05.9500178Z triton_mm_1461 0.0143 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=2, num_warps=4 2025-09-07T10:16:05.9501371Z triton_mm_1463 0.0143 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=3, num_warps=4 2025-09-07T10:16:05.9502873Z triton_mm_1464 0.0143 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=4, num_warps=8 2025-09-07T10:16:05.9503909Z SingleProcess AUTOTUNE benchmarking takes 0.2398 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:16:06.2993160Z Autotune Choices Stats: 2025-09-07T10:16:06.2994365Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_1512", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.0727040022611618, "best_triton_pos": 0} 2025-09-07T10:16:06.3099639Z AUTOTUNE bmm(32x32x1024, 32x1024x1024) 2025-09-07T10:16:06.3100020Z strides: [32768, 1024, 1], [1048576, 1024, 1] 2025-09-07T10:16:06.3100374Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:06.3101165Z triton_bmm_1512 0.0727 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:06.3102389Z triton_bmm_1514 0.0727 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:06.3107805Z triton_bmm_1515 0.0727 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, 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 2025-09-07T10:16:06.3109154Z triton_bmm_1516 0.0727 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=3, num_warps=4 2025-09-07T10:16:06.3110368Z triton_bmm_1510 0.0737 ms 98.6% 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 2025-09-07T10:16:06.3111572Z triton_bmm_1505 0.0748 ms 97.3% 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 2025-09-07T10:16:06.3112777Z triton_bmm_1507 0.0748 ms 97.3% 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=5, num_warps=4 2025-09-07T10:16:06.3113991Z triton_bmm_1511 0.0748 ms 97.3% 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 2025-09-07T10:16:06.3115198Z triton_bmm_1517 0.0748 ms 97.3% 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=4, num_warps=8 2025-09-07T10:16:06.3115938Z bmm 0.0758 ms 95.9% 2025-09-07T10:16:06.3116479Z SingleProcess AUTOTUNE benchmarking takes 0.3440 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:16:21.0262228Z pass 2025-09-07T10:16:27.1387952Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:16:27.1389387Z import pynvml # type: ignore[import] 2025-09-07T10:16:30.4972122Z 2025-09-07T10:16:31.9328533Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:16:31.9328952Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:16:31.9329282Z cuda train selecsls42b 2025-09-07T10:16:53.7513295Z Autotune Choices Stats: 2025-09-07T10:16:53.7514683Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_1", "best_kernel_desc": "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", "best_time": 0.01945599913597107, "best_triton_pos": 0} 2025-09-07T10:16:53.7621267Z AUTOTUNE convolution(8x3x224x224, 32x3x3x3) 2025-09-07T10:16:53.7621681Z strides: [150528, 50176, 224, 1], [27, 9, 3, 1] 2025-09-07T10:16:53.7622047Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:53.7622990Z triton_convolution2d_1 0.0195 ms 100.0% 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 2025-09-07T10:16:53.7624510Z triton_convolution2d_5 0.0205 ms 95.0% 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 2025-09-07T10:16:53.7625991Z triton_convolution2d_0 0.0225 ms 86.4% 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 2025-09-07T10:16:53.7627474Z triton_convolution2d_3 0.0225 ms 86.4% 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 2025-09-07T10:16:53.7628951Z triton_convolution2d_4 0.0246 ms 79.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:53.7630760Z triton_convolution2d_2 0.0317 ms 61.3% 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 2025-09-07T10:16:53.7631686Z convolution 0.0328 ms 59.4% 2025-09-07T10:16:53.7632246Z SingleProcess AUTOTUNE benchmarking takes 0.1191 seconds and 0.0003 seconds precompiling for 7 choices 2025-09-07T10:16:53.8931014Z Autotune Choices Stats: 2025-09-07T10:16:53.8932435Z {"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=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", "best_time": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T10:16:53.9035837Z AUTOTUNE convolution(8x32x112x112, 64x32x3x3) 2025-09-07T10:16:53.9036241Z strides: [401408, 12544, 112, 1], [288, 9, 3, 1] 2025-09-07T10:16:53.9036619Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:53.9037596Z triton_convolution2d_9 0.0256 ms 100.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:53.9039096Z triton_convolution2d_12 0.0266 ms 96.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:53.9040592Z triton_convolution2d_10 0.0276 ms 92.6% 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 2025-09-07T10:16:53.9042072Z triton_convolution2d_6 0.0287 ms 89.3% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:53.9043548Z triton_convolution2d_7 0.0287 ms 89.3% 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 2025-09-07T10:16:53.9045028Z triton_convolution2d_11 0.0287 ms 89.3% 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=8 2025-09-07T10:16:53.9046221Z convolution 0.0440 ms 58.1% 2025-09-07T10:16:53.9047087Z triton_convolution2d_8 0.0932 ms 27.5% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:53.9048272Z SingleProcess AUTOTUNE benchmarking takes 0.1409 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:54.0516702Z Autotune Choices Stats: 2025-09-07T10:16:54.0518043Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_17", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:16:54.0621573Z AUTOTUNE convolution(8x64x56x56, 64x64x1x1) 2025-09-07T10:16:54.0621966Z strides: [200704, 3136, 56, 1], [64, 1, 1, 1] 2025-09-07T10:16:54.0622339Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:54.0623255Z triton_convolution2d_17 0.0123 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.0624979Z triton_convolution2d_18 0.0123 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.0626484Z triton_convolution2d_16 0.0133 ms 92.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.0627957Z triton_convolution2d_14 0.0143 ms 85.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.0629459Z triton_convolution2d_15 0.0143 ms 85.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:54.0630958Z triton_convolution2d_19 0.0143 ms 85.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.0631866Z convolution 0.0154 ms 80.0% 2025-09-07T10:16:54.0632735Z triton_convolution2d_13 0.0154 ms 80.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.0633643Z conv1x1_via_mm 0.0604 ms 20.3% 2025-09-07T10:16:54.0634197Z SingleProcess AUTOTUNE benchmarking takes 0.1579 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:16:54.2007917Z Autotune Choices Stats: 2025-09-07T10:16:54.2009234Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_26", "best_kernel_desc": "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", "best_time": 0.035840000957250595, "best_triton_pos": 0} 2025-09-07T10:16:54.2110630Z AUTOTUNE convolution(8x64x56x56, 32x64x3x3) 2025-09-07T10:16:54.2111070Z strides: [200704, 3136, 56, 1], [576, 9, 3, 1] 2025-09-07T10:16:54.2111427Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:54.2112350Z triton_convolution2d_26 0.0358 ms 100.0% 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 2025-09-07T10:16:54.2113857Z triton_convolution2d_23 0.0369 ms 97.2% 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 2025-09-07T10:16:54.2115083Z convolution 0.0379 ms 94.6% 2025-09-07T10:16:54.2115966Z triton_convolution2d_21 0.0379 ms 94.6% 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 2025-09-07T10:16:54.2117597Z triton_convolution2d_20 0.0389 ms 92.1% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:54.2119080Z triton_convolution2d_25 0.0399 ms 89.7% 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 2025-09-07T10:16:54.2120556Z triton_convolution2d_24 0.0410 ms 87.5% 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 2025-09-07T10:16:54.2122034Z triton_convolution2d_22 0.0922 ms 38.9% 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:54.2123377Z SingleProcess AUTOTUNE benchmarking takes 0.1484 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:54.3528313Z Autotune Choices Stats: 2025-09-07T10:16:54.3529655Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_31", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:16:54.3632703Z AUTOTUNE convolution(8x32x56x56, 64x32x1x1) 2025-09-07T10:16:54.3633097Z strides: [100352, 3136, 56, 1], [32, 1, 1, 1] 2025-09-07T10:16:54.3633444Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:54.3634359Z triton_convolution2d_31 0.0102 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.3635858Z triton_convolution2d_32 0.0102 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.3637399Z triton_convolution2d_27 0.0113 ms 90.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.3638888Z triton_convolution2d_30 0.0113 ms 90.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.3640401Z triton_convolution2d_33 0.0113 ms 90.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.3641899Z triton_convolution2d_28 0.0123 ms 83.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.3643403Z triton_convolution2d_29 0.0123 ms 83.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:54.3644331Z convolution 0.0143 ms 71.4% 2025-09-07T10:16:54.3644615Z conv1x1_via_mm 0.0512 ms 20.0% 2025-09-07T10:16:54.3645509Z SingleProcess AUTOTUNE benchmarking takes 0.1516 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:54.5121838Z Autotune Choices Stats: 2025-09-07T10:16:54.5123198Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_45", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:16:54.5234217Z AUTOTUNE convolution(8x128x56x56, 64x128x1x1) 2025-09-07T10:16:54.5234675Z strides: [401408, 3136, 56, 1], [128, 1, 1, 1] 2025-09-07T10:16:54.5235015Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:54.5235941Z triton_convolution2d_45 0.0154 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.5237533Z triton_convolution2d_44 0.0164 ms 93.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.5239023Z triton_convolution2d_46 0.0164 ms 93.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.5240786Z triton_convolution2d_41 0.0174 ms 88.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.5242270Z triton_convolution2d_47 0.0174 ms 88.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.5243765Z triton_convolution2d_42 0.0184 ms 83.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.5245271Z triton_convolution2d_43 0.0205 ms 75.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:54.5246174Z convolution 0.0236 ms 65.2% 2025-09-07T10:16:54.5246467Z conv1x1_via_mm 0.0829 ms 18.5% 2025-09-07T10:16:54.5247042Z SingleProcess AUTOTUNE benchmarking takes 0.1565 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:54.6668276Z Autotune Choices Stats: 2025-09-07T10:16:54.6669584Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_54", "best_kernel_desc": "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", "best_time": 0.03788800165057182, "best_triton_pos": 0} 2025-09-07T10:16:54.6773390Z AUTOTUNE convolution(8x64x56x56, 64x64x3x3) 2025-09-07T10:16:54.6773792Z strides: [200704, 3136, 56, 1], [576, 9, 3, 1] 2025-09-07T10:16:54.6774140Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:54.6775081Z triton_convolution2d_54 0.0379 ms 100.0% 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 2025-09-07T10:16:54.6776594Z triton_convolution2d_51 0.0389 ms 97.4% 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 2025-09-07T10:16:54.6777510Z convolution 0.0410 ms 92.5% 2025-09-07T10:16:54.6778386Z triton_convolution2d_48 0.0461 ms 82.2% 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 2025-09-07T10:16:54.6780110Z triton_convolution2d_49 0.0461 ms 82.2% 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 2025-09-07T10:16:54.6781602Z triton_convolution2d_52 0.0471 ms 80.4% 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=4 2025-09-07T10:16:54.6783079Z triton_convolution2d_53 0.0471 ms 80.4% 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 2025-09-07T10:16:54.6784554Z triton_convolution2d_50 0.0932 ms 40.7% 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 2025-09-07T10:16:54.6785738Z SingleProcess AUTOTUNE benchmarking takes 0.1533 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:54.8470291Z Autotune Choices Stats: 2025-09-07T10:16:54.8471963Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_86", "best_kernel_desc": "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T10:16:54.8575408Z AUTOTUNE convolution(8x192x56x56, 128x192x1x1) 2025-09-07T10:16:54.8575841Z strides: [602112, 3136, 56, 1], [192, 1, 1, 1] 2025-09-07T10:16:54.8576193Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:54.8577113Z triton_convolution2d_86 0.0256 ms 100.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.8578642Z triton_convolution2d_87 0.0276 ms 92.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.8580123Z triton_convolution2d_89 0.0276 ms 92.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.8581604Z triton_convolution2d_84 0.0297 ms 86.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.8583083Z triton_convolution2d_88 0.0297 ms 86.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:54.8584567Z triton_convolution2d_83 0.0307 ms 83.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:54.8586068Z triton_convolution2d_85 0.0348 ms 73.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:54.8586978Z convolution 0.0492 ms 52.1% 2025-09-07T10:16:54.8587277Z conv1x1_via_mm 0.1219 ms 21.0% 2025-09-07T10:16:54.8587846Z SingleProcess AUTOTUNE benchmarking takes 0.1683 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:55.0459129Z Autotune Choices Stats: 2025-09-07T10:16:55.0460805Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.055296000093221664, "best_triton_pos": 1, "best_triton_time": 0.0798719972372055, "best_triton_kernel": "triton_convolution2d_96", "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=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:16:55.0563265Z AUTOTUNE convolution(8x128x56x56, 144x128x3x3) 2025-09-07T10:16:55.0563691Z strides: [401408, 3136, 56, 1], [1152, 9, 3, 1] 2025-09-07T10:16:55.0564033Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:55.0564375Z convolution 0.0553 ms 100.0% 2025-09-07T10:16:55.0565270Z triton_convolution2d_96 0.0799 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:55.0566760Z triton_convolution2d_94 0.0870 ms 63.5% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:55.0568256Z triton_convolution2d_93 0.0881 ms 62.8% 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 2025-09-07T10:16:55.0569900Z triton_convolution2d_91 0.0942 ms 58.7% 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 2025-09-07T10:16:55.0571376Z triton_convolution2d_95 0.1147 ms 48.2% 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 2025-09-07T10:16:55.0573099Z triton_convolution2d_90 0.1208 ms 45.8% 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 2025-09-07T10:16:55.0574604Z triton_convolution2d_92 0.2427 ms 22.8% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:55.0575791Z SingleProcess AUTOTUNE benchmarking takes 0.1982 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:55.2005918Z Autotune Choices Stats: 2025-09-07T10:16:55.2007234Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_101", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:16:55.2109260Z AUTOTUNE convolution(8x144x28x28, 144x144x1x1) 2025-09-07T10:16:55.2109632Z strides: [112896, 784, 28, 1], [144, 1, 1, 1] 2025-09-07T10:16:55.2109991Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:55.2110902Z triton_convolution2d_101 0.0143 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:55.2112412Z triton_convolution2d_100 0.0164 ms 87.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:55.2113902Z triton_convolution2d_102 0.0164 ms 87.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:55.2115393Z triton_convolution2d_103 0.0164 ms 87.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:55.2117109Z triton_convolution2d_97 0.0174 ms 82.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:55.2118643Z triton_convolution2d_98 0.0174 ms 82.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:55.2119553Z convolution 0.0195 ms 73.7% 2025-09-07T10:16:55.2120429Z triton_convolution2d_99 0.0215 ms 66.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:55.2121333Z conv1x1_via_mm 0.0471 ms 30.4% 2025-09-07T10:16:55.2121899Z SingleProcess AUTOTUNE benchmarking takes 0.1533 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:55.3779156Z Autotune Choices Stats: 2025-09-07T10:16:55.3780820Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05222399905323982, "best_triton_pos": 1, "best_triton_time": 0.07168000191450119, "best_triton_kernel": "triton_convolution2d_108", "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"} 2025-09-07T10:16:55.3887369Z AUTOTUNE convolution(8x144x28x28, 72x144x3x3) 2025-09-07T10:16:55.3887796Z strides: [112896, 784, 28, 1], [1296, 9, 3, 1] 2025-09-07T10:16:55.3888150Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:55.3888460Z convolution 0.0522 ms 100.0% 2025-09-07T10:16:55.3889352Z triton_convolution2d_108 0.0717 ms 72.9% 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 2025-09-07T10:16:55.3890868Z triton_convolution2d_109 0.0758 ms 68.9% 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 2025-09-07T10:16:55.3892370Z triton_convolution2d_104 0.0768 ms 68.0% 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 2025-09-07T10:16:55.3894136Z triton_convolution2d_107 0.0819 ms 63.8% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:55.3895634Z triton_convolution2d_110 0.0829 ms 63.0% 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 2025-09-07T10:16:55.3897134Z triton_convolution2d_105 0.0973 ms 53.7% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:55.3898623Z triton_convolution2d_106 0.1516 ms 34.5% 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 2025-09-07T10:16:55.3899811Z SingleProcess AUTOTUNE benchmarking takes 0.1772 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:55.5338653Z Autotune Choices Stats: 2025-09-07T10:16:55.5340295Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.01228800043463707, "best_triton_kernel": "triton_convolution2d_115", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:55.5447885Z AUTOTUNE convolution(8x72x28x28, 144x72x1x1) 2025-09-07T10:16:55.5448251Z strides: [56448, 784, 28, 1], [72, 1, 1, 1] 2025-09-07T10:16:55.5448594Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:55.5448904Z convolution 0.0123 ms 100.0% 2025-09-07T10:16:55.5449803Z triton_convolution2d_115 0.0123 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:55.5451315Z triton_convolution2d_114 0.0133 ms 92.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:55.5452996Z triton_convolution2d_117 0.0133 ms 92.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:55.5454506Z triton_convolution2d_111 0.0143 ms 85.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:55.5456181Z triton_convolution2d_112 0.0143 ms 85.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:55.5457675Z triton_convolution2d_116 0.0143 ms 85.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:55.5459172Z triton_convolution2d_113 0.0154 ms 80.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:55.5460083Z conv1x1_via_mm 0.0379 ms 32.4% 2025-09-07T10:16:55.5460655Z SingleProcess AUTOTUNE benchmarking takes 0.1548 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:55.7013811Z Autotune Choices Stats: 2025-09-07T10:16:55.7015130Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_129", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:16:55.7122759Z AUTOTUNE convolution(8x288x28x28, 144x288x1x1) 2025-09-07T10:16:55.7123168Z strides: [225792, 784, 28, 1], [288, 1, 1, 1] 2025-09-07T10:16:55.7123509Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:55.7124451Z triton_convolution2d_129 0.0174 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:55.7125979Z triton_convolution2d_130 0.0215 ms 81.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:55.7127490Z triton_convolution2d_128 0.0225 ms 77.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:55.7128989Z triton_convolution2d_131 0.0225 ms 77.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:55.7129902Z convolution 0.0256 ms 68.0% 2025-09-07T10:16:55.7130779Z triton_convolution2d_125 0.0256 ms 68.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:55.7138434Z triton_convolution2d_126 0.0266 ms 65.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:55.7139948Z triton_convolution2d_127 0.0348 ms 50.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:55.7140867Z conv1x1_via_mm 0.0645 ms 27.0% 2025-09-07T10:16:55.7141444Z SingleProcess AUTOTUNE benchmarking takes 0.1622 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:55.8988615Z Autotune Choices Stats: 2025-09-07T10:16:55.8990278Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.06758400052785873, "best_triton_pos": 1, "best_triton_time": 0.08601599931716919, "best_triton_kernel": "triton_convolution2d_136", "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"} 2025-09-07T10:16:55.9101271Z AUTOTUNE convolution(8x144x28x28, 144x144x3x3) 2025-09-07T10:16:55.9101675Z strides: [112896, 784, 28, 1], [1296, 9, 3, 1] 2025-09-07T10:16:55.9102323Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:55.9102653Z convolution 0.0676 ms 100.0% 2025-09-07T10:16:55.9103533Z triton_convolution2d_136 0.0860 ms 78.6% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:55.9105035Z triton_convolution2d_138 0.0860 ms 78.6% 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 2025-09-07T10:16:55.9106544Z triton_convolution2d_133 0.1014 ms 66.7% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:55.9108053Z triton_convolution2d_135 0.1044 ms 64.7% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:55.9109568Z triton_convolution2d_132 0.1362 ms 49.6% 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 2025-09-07T10:16:55.9111061Z triton_convolution2d_137 0.1372 ms 49.3% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:55.9112565Z triton_convolution2d_134 0.1536 ms 44.0% 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:55.9113745Z SingleProcess AUTOTUNE benchmarking takes 0.1973 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:56.0883465Z Autotune Choices Stats: 2025-09-07T10:16:56.0885109Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_convolution2d_171", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:56.0994447Z AUTOTUNE convolution(8x432x28x28, 288x432x1x1) 2025-09-07T10:16:56.0994862Z strides: [338688, 784, 28, 1], [432, 1, 1, 1] 2025-09-07T10:16:56.0995220Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:56.0995546Z convolution 0.0236 ms 100.0% 2025-09-07T10:16:56.0996429Z triton_convolution2d_171 0.0256 ms 92.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:56.0998024Z triton_convolution2d_170 0.0307 ms 76.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:56.0999550Z triton_convolution2d_173 0.0317 ms 74.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:56.1001062Z triton_convolution2d_172 0.0338 ms 69.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:56.1002562Z triton_convolution2d_168 0.0358 ms 65.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:56.1004354Z triton_convolution2d_167 0.0369 ms 63.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:56.1005871Z triton_convolution2d_169 0.0768 ms 30.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:56.1006792Z conv1x1_via_mm 0.1096 ms 21.5% 2025-09-07T10:16:56.1007365Z SingleProcess AUTOTUNE benchmarking takes 0.1743 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:56.3499704Z Autotune Choices Stats: 2025-09-07T10:16:56.3501377Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.06451199948787689, "best_triton_pos": 1, "best_triton_time": 0.13926400244235992, "best_triton_kernel": "triton_convolution2d_178", "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"} 2025-09-07T10:16:56.3607849Z AUTOTUNE convolution(8x288x28x28, 304x288x3x3) 2025-09-07T10:16:56.3608293Z strides: [225792, 784, 28, 1], [2592, 9, 3, 1] 2025-09-07T10:16:56.3608624Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:56.3608943Z convolution 0.0645 ms 100.0% 2025-09-07T10:16:56.3609827Z triton_convolution2d_178 0.1393 ms 46.3% 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 2025-09-07T10:16:56.3611340Z triton_convolution2d_180 0.1628 ms 39.6% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:56.3613054Z triton_convolution2d_177 0.1741 ms 37.1% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:56.3614567Z triton_convolution2d_175 0.2038 ms 31.7% 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 2025-09-07T10:16:56.3616056Z triton_convolution2d_179 0.2478 ms 26.0% 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 2025-09-07T10:16:56.3617788Z triton_convolution2d_176 0.4014 ms 16.1% 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 2025-09-07T10:16:56.3619286Z triton_convolution2d_174 0.4659 ms 13.8% 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 2025-09-07T10:16:56.3620461Z SingleProcess AUTOTUNE benchmarking takes 0.2600 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:56.5113903Z Autotune Choices Stats: 2025-09-07T10:16:56.5115532Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.015359999611973763, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_convolution2d_185", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:56.5221198Z AUTOTUNE convolution(8x304x14x14, 304x304x1x1) 2025-09-07T10:16:56.5221623Z strides: [59584, 196, 14, 1], [304, 1, 1, 1] 2025-09-07T10:16:56.5221960Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:56.5222525Z convolution 0.0154 ms 100.0% 2025-09-07T10:16:56.5223419Z triton_convolution2d_185 0.0174 ms 88.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:56.5224918Z triton_convolution2d_186 0.0215 ms 71.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:56.5226428Z triton_convolution2d_184 0.0225 ms 68.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:56.5227921Z triton_convolution2d_187 0.0246 ms 62.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:56.5229413Z triton_convolution2d_181 0.0256 ms 60.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:56.5230888Z triton_convolution2d_182 0.0276 ms 55.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:56.5232389Z triton_convolution2d_183 0.0358 ms 42.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:56.5233309Z conv1x1_via_mm 0.0389 ms 39.5% 2025-09-07T10:16:56.5233877Z SingleProcess AUTOTUNE benchmarking takes 0.1600 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:56.7654721Z Autotune Choices Stats: 2025-09-07T10:16:56.7656391Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.062463998794555664, "best_triton_pos": 1, "best_triton_time": 0.11673600226640701, "best_triton_kernel": "triton_convolution2d_192", "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"} 2025-09-07T10:16:56.7764769Z AUTOTUNE convolution(8x304x14x14, 152x304x3x3) 2025-09-07T10:16:56.7765400Z strides: [59584, 196, 14, 1], [2736, 9, 3, 1] 2025-09-07T10:16:56.7765738Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:56.7766078Z convolution 0.0625 ms 100.0% 2025-09-07T10:16:56.7766967Z triton_convolution2d_192 0.1167 ms 53.5% 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 2025-09-07T10:16:56.7768479Z triton_convolution2d_194 0.1618 ms 38.6% 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 2025-09-07T10:16:56.7769991Z triton_convolution2d_191 0.1874 ms 33.3% 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 2025-09-07T10:16:56.7771500Z triton_convolution2d_189 0.1956 ms 31.9% 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 2025-09-07T10:16:56.7773202Z triton_convolution2d_193 0.2079 ms 30.0% 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 2025-09-07T10:16:56.7774889Z triton_convolution2d_188 0.2263 ms 27.6% 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 2025-09-07T10:16:56.7776391Z triton_convolution2d_190 0.2918 ms 21.4% 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 2025-09-07T10:16:56.7777579Z SingleProcess AUTOTUNE benchmarking takes 0.2530 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:56.9234068Z Autotune Choices Stats: 2025-09-07T10:16:56.9235705Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.01228800043463707, "best_triton_kernel": "triton_convolution2d_199", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:56.9346581Z AUTOTUNE convolution(8x152x14x14, 304x152x1x1) 2025-09-07T10:16:56.9346956Z strides: [29792, 196, 14, 1], [152, 1, 1, 1] 2025-09-07T10:16:56.9347287Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:56.9347608Z convolution 0.0123 ms 100.0% 2025-09-07T10:16:56.9348500Z triton_convolution2d_199 0.0123 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:56.9350011Z triton_convolution2d_198 0.0154 ms 80.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:56.9351510Z triton_convolution2d_200 0.0154 ms 80.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:56.9353003Z triton_convolution2d_201 0.0164 ms 75.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:56.9354480Z triton_convolution2d_195 0.0184 ms 66.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:56.9356185Z triton_convolution2d_196 0.0184 ms 66.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:56.9357753Z triton_convolution2d_197 0.0225 ms 54.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:56.9358674Z conv1x1_via_mm 0.0317 ms 38.7% 2025-09-07T10:16:56.9359245Z SingleProcess AUTOTUNE benchmarking takes 0.1567 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:57.1049969Z Autotune Choices Stats: 2025-09-07T10:16:57.1051301Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_213", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T10:16:57.1170380Z AUTOTUNE convolution(8x608x14x14, 304x608x1x1) 2025-09-07T10:16:57.1170795Z strides: [119168, 196, 14, 1], [608, 1, 1, 1] 2025-09-07T10:16:57.1171130Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:57.1172401Z triton_convolution2d_213 0.0256 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:57.1173442Z convolution 0.0297 ms 86.2% 2025-09-07T10:16:57.1174336Z triton_convolution2d_214 0.0317 ms 80.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:57.1175862Z triton_convolution2d_212 0.0348 ms 73.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:57.1177384Z triton_convolution2d_215 0.0369 ms 69.4% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:57.1178878Z triton_convolution2d_209 0.0379 ms 67.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:57.1180376Z triton_convolution2d_210 0.0471 ms 54.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:57.1181291Z conv1x1_via_mm 0.0614 ms 41.7% 2025-09-07T10:16:57.1182185Z triton_convolution2d_211 0.0635 ms 40.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:57.1183392Z SingleProcess AUTOTUNE benchmarking takes 0.1770 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:57.3740973Z Autotune Choices Stats: 2025-09-07T10:16:57.3742659Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04915200173854828, "best_triton_pos": 1, "best_triton_time": 0.1525759994983673, "best_triton_kernel": "triton_convolution2d_220", "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"} 2025-09-07T10:16:57.3856932Z AUTOTUNE convolution(8x304x14x14, 304x304x3x3) 2025-09-07T10:16:57.3857337Z strides: [59584, 196, 14, 1], [2736, 9, 3, 1] 2025-09-07T10:16:57.3858029Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:57.3858358Z convolution 0.0492 ms 100.0% 2025-09-07T10:16:57.3859256Z triton_convolution2d_220 0.1526 ms 32.2% 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 2025-09-07T10:16:57.3860781Z triton_convolution2d_222 0.1679 ms 29.3% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:57.3862296Z triton_convolution2d_217 0.1956 ms 25.1% 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 2025-09-07T10:16:57.3863793Z triton_convolution2d_219 0.1966 ms 25.0% 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 2025-09-07T10:16:57.3865300Z triton_convolution2d_221 0.2857 ms 17.2% 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 2025-09-07T10:16:57.3866999Z triton_convolution2d_218 0.2908 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:57.3868509Z triton_convolution2d_216 0.4567 ms 10.8% 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 2025-09-07T10:16:57.3869691Z SingleProcess AUTOTUNE benchmarking takes 0.2680 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:57.5828204Z Autotune Choices Stats: 2025-09-07T10:16:57.5829882Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.035840000957250595, "best_triton_pos": 1, "best_triton_time": 0.035840000957250595, "best_triton_kernel": "triton_convolution2d_255", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:57.5945072Z AUTOTUNE convolution(8x912x14x14, 480x912x1x1) 2025-09-07T10:16:57.5945486Z strides: [178752, 196, 14, 1], [912, 1, 1, 1] 2025-09-07T10:16:57.5945827Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:57.5946132Z convolution 0.0358 ms 100.0% 2025-09-07T10:16:57.5947019Z triton_convolution2d_255 0.0358 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:57.5948523Z triton_convolution2d_256 0.0471 ms 76.1% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:57.5950019Z triton_convolution2d_254 0.0481 ms 74.5% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:57.5951523Z triton_convolution2d_257 0.0532 ms 67.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:57.5953018Z triton_convolution2d_251 0.0614 ms 58.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:57.5954505Z triton_convolution2d_252 0.0655 ms 54.7% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:57.5955650Z conv1x1_via_mm 0.0850 ms 42.2% 2025-09-07T10:16:57.5956546Z triton_convolution2d_253 0.0901 ms 39.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:57.5957811Z SingleProcess AUTOTUNE benchmarking takes 0.1919 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:57.8789789Z Autotune Choices Stats: 2025-09-07T10:16:57.8791460Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.09625600278377533, "best_triton_pos": 1, "best_triton_time": 0.21606400609016418, "best_triton_kernel": "triton_convolution2d_262", "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"} 2025-09-07T10:16:57.8904370Z AUTOTUNE convolution(8x480x14x14, 960x480x3x3) 2025-09-07T10:16:57.8904804Z strides: [94080, 196, 14, 1], [4320, 9, 3, 1] 2025-09-07T10:16:57.8905143Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:57.8905465Z convolution 0.0963 ms 100.0% 2025-09-07T10:16:57.8906722Z triton_convolution2d_262 0.2161 ms 44.5% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:57.8908243Z triton_convolution2d_261 0.2908 ms 33.1% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:57.8909759Z triton_convolution2d_264 0.2918 ms 33.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:57.8911276Z triton_convolution2d_259 0.3523 ms 27.3% 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 2025-09-07T10:16:57.8912765Z triton_convolution2d_263 0.4157 ms 23.2% 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 2025-09-07T10:16:57.8914276Z triton_convolution2d_260 0.4639 ms 20.8% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:57.8915780Z triton_convolution2d_258 0.5325 ms 18.1% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:57.8916965Z SingleProcess AUTOTUNE benchmarking takes 0.2944 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:58.1825995Z Autotune Choices Stats: 2025-09-07T10:16:58.1827692Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.159743994474411, "best_triton_pos": 1, "best_triton_time": 0.4607999920845032, "best_triton_kernel": "triton_convolution2d_269", "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"} 2025-09-07T10:16:58.1938783Z AUTOTUNE convolution(8x960x7x7, 1024x960x3x3) 2025-09-07T10:16:58.1939170Z strides: [47040, 49, 7, 1], [8640, 9, 3, 1] 2025-09-07T10:16:58.1939515Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:58.1939841Z convolution 0.1597 ms 100.0% 2025-09-07T10:16:58.1941095Z triton_convolution2d_269 0.4608 ms 34.7% 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 2025-09-07T10:16:58.1942592Z triton_convolution2d_271 0.4823 ms 33.1% 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 2025-09-07T10:16:58.1944100Z triton_convolution2d_267 0.5622 ms 28.4% 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 2025-09-07T10:16:58.1945610Z triton_convolution2d_268 0.5755 ms 27.8% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:58.1947114Z triton_convolution2d_266 0.6339 ms 25.2% 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 2025-09-07T10:16:58.1948608Z triton_convolution2d_270 0.8172 ms 19.5% 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 2025-09-07T10:16:58.1950258Z triton_convolution2d_265 0.9738 ms 16.4% 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 2025-09-07T10:16:58.1951442Z SingleProcess AUTOTUNE benchmarking takes 0.3020 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:16:58.4887978Z Autotune Choices Stats: 2025-09-07T10:16:58.4889673Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.15360000729560852, "best_triton_pos": 1, "best_triton_time": 0.4126720130443573, "best_triton_kernel": "triton_convolution2d_276", "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"} 2025-09-07T10:16:58.5001446Z AUTOTUNE convolution(8x1024x7x7, 1280x1024x3x3) 2025-09-07T10:16:58.5001837Z strides: [50176, 49, 7, 1], [9216, 9, 3, 1] 2025-09-07T10:16:58.5002183Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:58.5002507Z convolution 0.1536 ms 100.0% 2025-09-07T10:16:58.5003402Z triton_convolution2d_276 0.4127 ms 37.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:58.5004904Z triton_convolution2d_278 0.5161 ms 29.8% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:58.5006415Z triton_convolution2d_275 0.5949 ms 25.8% 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 2025-09-07T10:16:58.5015954Z triton_convolution2d_273 0.6359 ms 24.2% 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 2025-09-07T10:16:58.5017478Z triton_convolution2d_274 0.6502 ms 23.6% 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=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:58.5019067Z triton_convolution2d_277 0.8448 ms 18.2% 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 2025-09-07T10:16:58.5020844Z triton_convolution2d_272 1.3804 ms 11.1% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:58.5022028Z SingleProcess AUTOTUNE benchmarking takes 0.3048 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:58.6873888Z Autotune Choices Stats: 2025-09-07T10:16:58.6875588Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03686400130391121, "best_triton_pos": 1, "best_triton_time": 0.04198399931192398, "best_triton_kernel": "triton_convolution2d_283", "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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:58.6986670Z AUTOTUNE convolution(8x1280x4x4, 1024x1280x1x1) 2025-09-07T10:16:58.6987109Z strides: [20480, 16, 4, 1], [1280, 1, 1, 1] 2025-09-07T10:16:58.6987453Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:58.6987779Z convolution 0.0369 ms 100.0% 2025-09-07T10:16:58.6988656Z triton_convolution2d_283 0.0420 ms 87.8% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:58.6989563Z conv1x1_via_mm 0.0481 ms 76.6% 2025-09-07T10:16:58.6990780Z triton_convolution2d_285 0.0553 ms 66.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:58.6992292Z triton_convolution2d_284 0.0625 ms 59.0% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:58.6993806Z triton_convolution2d_282 0.0655 ms 56.3% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:58.6995312Z triton_convolution2d_280 0.0727 ms 50.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:58.6996810Z triton_convolution2d_279 0.0860 ms 42.9% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:58.6998390Z triton_convolution2d_281 0.0860 ms 42.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:58.6999565Z SingleProcess AUTOTUNE benchmarking takes 0.1970 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:16:58.9791625Z Autotune Choices Stats: 2025-09-07T10:16:58.9792834Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_290", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:16:58.9906630Z AUTOTUNE addmm(8x1000, 8x1024, 1024x1000) 2025-09-07T10:16:58.9906999Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:16:58.9907371Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:16:58.9908205Z triton_mm_290 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:16:58.9909426Z triton_mm_294 0.0113 ms 90.9% 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 2025-09-07T10:16:58.9910948Z triton_mm_298 0.0133 ms 76.9% 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 2025-09-07T10:16:58.9912153Z triton_mm_302 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:16:58.9912903Z bias_addmm 0.0143 ms 71.4% 2025-09-07T10:16:58.9913631Z triton_mm_288 0.0143 ms 71.4% 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=5, num_warps=4 2025-09-07T10:16:58.9914814Z triton_mm_289 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:16:58.9915999Z triton_mm_293 0.0143 ms 71.4% 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 2025-09-07T10:16:58.9917179Z triton_mm_287 0.0154 ms 66.7% 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 2025-09-07T10:16:58.9918597Z triton_mm_297 0.0154 ms 66.7% 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=3, num_warps=4 2025-09-07T10:16:58.9919627Z SingleProcess AUTOTUNE benchmarking takes 0.2904 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:17:10.6272685Z Autotune Choices Stats: 2025-09-07T10:17:10.6273935Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_320", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:17:10.6382174Z AUTOTUNE mm(1000x8, 8x1024) 2025-09-07T10:17:10.6382478Z strides: [1, 1000], [1024, 1] 2025-09-07T10:17:10.6382779Z dtypes: torch.float16, torch.float16 2025-09-07T10:17:10.6383556Z triton_mm_320 0.0082 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 2025-09-07T10:17:10.6384778Z triton_mm_321 0.0082 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 2025-09-07T10:17:10.6385976Z triton_mm_322 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:17:10.6387154Z triton_mm_323 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:17:10.6388359Z triton_mm_324 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:17:10.6389553Z triton_mm_325 0.0082 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 2025-09-07T10:17:10.6390752Z triton_mm_326 0.0082 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 2025-09-07T10:17:10.6391944Z triton_mm_327 0.0082 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 2025-09-07T10:17:10.6393506Z triton_mm_328 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:17:10.6394721Z triton_mm_329 0.0082 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 2025-09-07T10:17:10.6395750Z SingleProcess AUTOTUNE benchmarking takes 0.2187 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:17:11.4128255Z Autotune Choices Stats: 2025-09-07T10:17:11.4129489Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_307", "best_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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:17:11.4239602Z AUTOTUNE mm(8x1000, 1000x1024) 2025-09-07T10:17:11.4239950Z strides: [1000, 1], [1024, 1] 2025-09-07T10:17:11.4240269Z dtypes: torch.float16, torch.float16 2025-09-07T10:17:11.4241038Z triton_mm_307 0.0113 ms 100.0% 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 2025-09-07T10:17:11.4242264Z triton_mm_311 0.0113 ms 100.0% 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 2025-09-07T10:17:11.4243851Z triton_mm_315 0.0123 ms 91.7% 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 2025-09-07T10:17:11.4244616Z mm 0.0133 ms 84.6% 2025-09-07T10:17:11.4245317Z triton_mm_319 0.0133 ms 84.6% 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=5, num_warps=8 2025-09-07T10:17:11.4246518Z triton_mm_305 0.0143 ms 78.6% 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 2025-09-07T10:17:11.4247697Z triton_mm_306 0.0143 ms 78.6% 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 2025-09-07T10:17:11.4248879Z triton_mm_310 0.0143 ms 78.6% 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 2025-09-07T10:17:11.4250073Z triton_mm_314 0.0154 ms 73.3% 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 2025-09-07T10:17:11.4251262Z triton_mm_317 0.0154 ms 73.3% 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 2025-09-07T10:17:11.4252301Z SingleProcess AUTOTUNE benchmarking takes 0.2527 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:17:18.1333071Z W0907 10:17:18.132000 116712 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:17:38.6463988Z pass 2025-09-07T10:17:43.9046987Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:17:43.9048431Z import pynvml # type: ignore[import] 2025-09-07T10:17:47.2065017Z 2025-09-07T10:17:48.3851834Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:17:48.3852204Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:17:48.3852539Z cuda train spnasnet_100 2025-09-07T10:18:22.1307919Z Autotune Choices Stats: 2025-09-07T10:18:22.1309630Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_28", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:18:22.1426226Z AUTOTUNE mm(100352x16, 16x48) 2025-09-07T10:18:22.1426558Z strides: [16, 1], [1, 16] 2025-09-07T10:18:22.1426832Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:22.1427620Z triton_mm_28 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:18:22.1428812Z triton_mm_31 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:18:22.1429997Z triton_mm_18 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:18:22.1431176Z triton_mm_20 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:22.1432345Z triton_mm_22 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:22.1433780Z triton_mm_23 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:22.1434952Z triton_mm_24 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:22.1436118Z triton_mm_25 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:22.1437358Z triton_mm_26 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:22.1438540Z triton_mm_27 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:22.1439560Z SingleProcess AUTOTUNE benchmarking takes 0.2439 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T10:18:22.3793112Z Autotune Choices Stats: 2025-09-07T10:18:22.3794606Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.011264000087976456, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_33", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2"} 2025-09-07T10:18:22.3908090Z AUTOTUNE mm(25088x48, 48x24) 2025-09-07T10:18:22.3908433Z strides: [48, 1], [1, 48] 2025-09-07T10:18:22.3908724Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:22.3909036Z mm 0.0113 ms 100.0% 2025-09-07T10:18:22.3909768Z triton_mm_33 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:18:22.3910991Z triton_mm_34 0.0113 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 2025-09-07T10:18:22.3912185Z triton_mm_37 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:22.3913715Z triton_mm_38 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:22.3914897Z triton_mm_40 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:22.3916092Z triton_mm_43 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:22.3917360Z triton_mm_44 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:18:22.3918548Z triton_mm_45 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:22.3919750Z triton_mm_46 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:22.3920783Z SingleProcess AUTOTUNE benchmarking takes 0.2475 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:18:22.6289277Z Autotune Choices Stats: 2025-09-07T10:18:22.6290928Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_53", "best_kernel_desc": "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", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:18:22.6404394Z AUTOTUNE mm(25088x24, 24x72) 2025-09-07T10:18:22.6404717Z strides: [24, 1], [1, 24] 2025-09-07T10:18:22.6405006Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:22.6405759Z triton_mm_53 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:22.6406967Z triton_mm_54 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:22.6408154Z triton_mm_56 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:22.6409350Z triton_mm_58 0.0113 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=5, num_warps=4 2025-09-07T10:18:22.6410544Z triton_mm_59 0.0113 ms 100.0% 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 2025-09-07T10:18:22.6411739Z triton_mm_60 0.0113 ms 100.0% 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=4, num_warps=8 2025-09-07T10:18:22.6413045Z triton_mm_61 0.0113 ms 100.0% 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=4, num_warps=4 2025-09-07T10:18:22.6414255Z triton_mm_63 0.0113 ms 100.0% 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 2025-09-07T10:18:22.6415462Z triton_mm_64 0.0113 ms 100.0% 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 2025-09-07T10:18:22.6416680Z triton_mm_65 0.0113 ms 100.0% 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 2025-09-07T10:18:22.6417949Z SingleProcess AUTOTUNE benchmarking takes 0.2479 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:18:22.8779294Z Autotune Choices Stats: 2025-09-07T10:18:22.8780489Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_67", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:18:22.8895267Z AUTOTUNE mm(25088x72, 72x24) 2025-09-07T10:18:22.8895635Z strides: [72, 1], [1, 72] 2025-09-07T10:18:22.8895927Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:22.8896697Z triton_mm_67 0.0133 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 2025-09-07T10:18:22.8897910Z triton_mm_71 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:22.8899114Z triton_mm_72 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:22.8900317Z triton_mm_76 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:22.8901770Z triton_mm_78 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:18:22.8902969Z triton_mm_79 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:22.8904168Z triton_mm_80 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:22.8905371Z triton_mm_81 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:18:22.8906569Z triton_mm_82 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:22.8907757Z triton_mm_83 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:22.8908794Z SingleProcess AUTOTUNE benchmarking takes 0.2484 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:18:23.1345313Z Autotune Choices Stats: 2025-09-07T10:18:23.1346531Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_124", "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=2, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:18:23.1468069Z AUTOTUNE mm(25088x24, 24x144) 2025-09-07T10:18:23.1468402Z strides: [24, 1], [1, 24] 2025-09-07T10:18:23.1468681Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:23.1469483Z triton_mm_124 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:23.1470691Z triton_mm_122 0.0133 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=4 2025-09-07T10:18:23.1471884Z triton_mm_125 0.0133 ms 92.3% 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=3, num_warps=8 2025-09-07T10:18:23.1473445Z triton_mm_126 0.0133 ms 92.3% 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=5, num_warps=4 2025-09-07T10:18:23.1474632Z triton_mm_127 0.0133 ms 92.3% 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 2025-09-07T10:18:23.1475831Z triton_mm_129 0.0133 ms 92.3% 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=4, num_warps=4 2025-09-07T10:18:23.1477018Z triton_mm_131 0.0133 ms 92.3% 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 2025-09-07T10:18:23.1478290Z triton_mm_118 0.0143 ms 85.7% 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 2025-09-07T10:18:23.1479487Z triton_mm_119 0.0143 ms 85.7% 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 2025-09-07T10:18:23.1480674Z triton_mm_120 0.0143 ms 85.7% 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 2025-09-07T10:18:23.1481895Z SingleProcess AUTOTUNE benchmarking takes 0.2503 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:18:23.3950613Z Autotune Choices Stats: 2025-09-07T10:18:23.3951813Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_145", "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=4, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:18:23.4067113Z AUTOTUNE mm(6272x144, 144x40) 2025-09-07T10:18:23.4067464Z strides: [144, 1], [1, 144] 2025-09-07T10:18:23.4067755Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:23.4068519Z triton_mm_145 0.0102 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=4, num_warps=8 2025-09-07T10:18:23.4069750Z triton_mm_138 0.0113 ms 90.9% 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 2025-09-07T10:18:23.4070941Z triton_mm_142 0.0113 ms 90.9% 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 2025-09-07T10:18:23.4072133Z triton_mm_143 0.0113 ms 90.9% 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 2025-09-07T10:18:23.4073337Z triton_mm_144 0.0113 ms 90.9% 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 2025-09-07T10:18:23.4074527Z triton_mm_146 0.0113 ms 90.9% 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 2025-09-07T10:18:23.4075723Z triton_mm_147 0.0113 ms 90.9% 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 2025-09-07T10:18:23.4076930Z triton_mm_148 0.0113 ms 90.9% 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 2025-09-07T10:18:23.4078206Z triton_mm_149 0.0113 ms 90.9% 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 2025-09-07T10:18:23.4079657Z triton_mm_151 0.0113 ms 90.9% 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 2025-09-07T10:18:23.4080701Z SingleProcess AUTOTUNE benchmarking takes 0.2592 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:23.6632241Z Autotune Choices Stats: 2025-09-07T10:18:23.6633445Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_154", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:18:23.6749553Z AUTOTUNE mm(6272x40, 40x120) 2025-09-07T10:18:23.6749836Z strides: [40, 1], [1, 40] 2025-09-07T10:18:23.6750120Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:23.6750887Z triton_mm_154 0.0092 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 2025-09-07T10:18:23.6752100Z triton_mm_157 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:23.6753293Z triton_mm_160 0.0092 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 2025-09-07T10:18:23.6754700Z triton_mm_161 0.0092 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 2025-09-07T10:18:23.6755896Z triton_mm_164 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:23.6757111Z triton_mm_165 0.0092 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 2025-09-07T10:18:23.6758406Z triton_mm_166 0.0092 ms 100.0% 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 2025-09-07T10:18:23.6759607Z triton_mm_153 0.0102 ms 90.0% 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 2025-09-07T10:18:23.6760792Z triton_mm_158 0.0102 ms 90.0% 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 2025-09-07T10:18:23.6761966Z triton_mm_159 0.0102 ms 90.0% 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 2025-09-07T10:18:23.6762998Z SingleProcess AUTOTUNE benchmarking takes 0.2675 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:18:23.9215338Z Autotune Choices Stats: 2025-09-07T10:18:23.9216527Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_173", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:18:23.9333625Z AUTOTUNE mm(6272x120, 120x40) 2025-09-07T10:18:23.9333965Z strides: [120, 1], [1, 120] 2025-09-07T10:18:23.9334249Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:23.9335025Z triton_mm_173 0.0102 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 2025-09-07T10:18:23.9336246Z triton_mm_176 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:23.9337712Z triton_mm_180 0.0102 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 2025-09-07T10:18:23.9338922Z triton_mm_184 0.0102 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 2025-09-07T10:18:23.9340137Z triton_mm_186 0.0102 ms 100.0% 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 2025-09-07T10:18:23.9340883Z mm 0.0113 ms 90.9% 2025-09-07T10:18:23.9341577Z triton_mm_175 0.0113 ms 90.9% 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 2025-09-07T10:18:23.9342759Z triton_mm_179 0.0113 ms 90.9% 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 2025-09-07T10:18:23.9343938Z triton_mm_181 0.0113 ms 90.9% 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 2025-09-07T10:18:23.9345277Z triton_mm_182 0.0113 ms 90.9% 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 2025-09-07T10:18:23.9346313Z SingleProcess AUTOTUNE benchmarking takes 0.2577 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:24.2034777Z Autotune Choices Stats: 2025-09-07T10:18:24.2035937Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_271", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:18:24.2152009Z AUTOTUNE mm(6272x40, 40x240) 2025-09-07T10:18:24.2152315Z strides: [40, 1], [1, 40] 2025-09-07T10:18:24.2152602Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:24.2153352Z triton_mm_271 0.0102 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 2025-09-07T10:18:24.2154565Z triton_mm_272 0.0102 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 2025-09-07T10:18:24.2155769Z triton_mm_275 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:24.2156983Z triton_mm_276 0.0102 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 2025-09-07T10:18:24.2158252Z triton_mm_282 0.0102 ms 100.0% 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 2025-09-07T10:18:24.2159455Z triton_mm_264 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:18:24.2160636Z triton_mm_268 0.0113 ms 90.9% 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 2025-09-07T10:18:24.2161810Z triton_mm_277 0.0113 ms 90.9% 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 2025-09-07T10:18:24.2163006Z triton_mm_278 0.0113 ms 90.9% 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 2025-09-07T10:18:24.2164471Z triton_mm_279 0.0113 ms 90.9% 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 2025-09-07T10:18:24.2165513Z SingleProcess AUTOTUNE benchmarking takes 0.2687 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:18:24.4641672Z Autotune Choices Stats: 2025-09-07T10:18:24.4642920Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_286", "best_kernel_desc": "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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:18:24.4760077Z AUTOTUNE mm(1568x240, 240x80) 2025-09-07T10:18:24.4760428Z strides: [240, 1], [1, 240] 2025-09-07T10:18:24.4760742Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:24.4761518Z triton_mm_286 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:24.4762736Z triton_mm_284 0.0102 ms 90.0% 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 2025-09-07T10:18:24.4764343Z triton_mm_287 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:24.4765579Z triton_mm_290 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=8 2025-09-07T10:18:24.4766774Z triton_mm_291 0.0102 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 2025-09-07T10:18:24.4767985Z triton_mm_293 0.0102 ms 90.0% 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=4, num_warps=8 2025-09-07T10:18:24.4769167Z triton_mm_294 0.0102 ms 90.0% 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 2025-09-07T10:18:24.4769926Z mm 0.0113 ms 81.8% 2025-09-07T10:18:24.4770624Z triton_mm_285 0.0113 ms 81.8% 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 2025-09-07T10:18:24.4771820Z triton_mm_292 0.0113 ms 81.8% 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=3, num_warps=4 2025-09-07T10:18:24.4773105Z SingleProcess AUTOTUNE benchmarking takes 0.2601 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:24.7229625Z Autotune Choices Stats: 2025-09-07T10:18:24.7230817Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_302", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:18:24.7347801Z AUTOTUNE mm(1568x80, 80x240) 2025-09-07T10:18:24.7348125Z strides: [80, 1], [1, 80] 2025-09-07T10:18:24.7348399Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:24.7349173Z triton_mm_302 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 2025-09-07T10:18:24.7350395Z triton_mm_304 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:24.7351862Z triton_mm_305 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:24.7353073Z triton_mm_307 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:24.7354277Z triton_mm_308 0.0092 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 2025-09-07T10:18:24.7355486Z triton_mm_309 0.0092 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 2025-09-07T10:18:24.7356689Z triton_mm_310 0.0092 ms 100.0% 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 2025-09-07T10:18:24.7357962Z triton_mm_311 0.0092 ms 100.0% 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=4, num_warps=8 2025-09-07T10:18:24.7359177Z triton_mm_312 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:24.7360548Z triton_mm_313 0.0092 ms 100.0% 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 2025-09-07T10:18:24.7361603Z SingleProcess AUTOTUNE benchmarking takes 0.2581 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:25.0001607Z Autotune Choices Stats: 2025-09-07T10:18:25.0002788Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_418", "best_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", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:18:25.0126023Z AUTOTUNE mm(1568x80, 80x480) 2025-09-07T10:18:25.0126318Z strides: [80, 1], [1, 80] 2025-09-07T10:18:25.0126614Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:25.0127421Z triton_mm_418 0.0092 ms 100.0% 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 2025-09-07T10:18:25.0128646Z triton_mm_419 0.0092 ms 100.0% 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=4, num_warps=8 2025-09-07T10:18:25.0129865Z triton_mm_421 0.0092 ms 100.0% 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 2025-09-07T10:18:25.0131091Z triton_mm_422 0.0092 ms 100.0% 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 2025-09-07T10:18:25.0132287Z triton_mm_415 0.0102 ms 90.0% 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 2025-09-07T10:18:25.0133723Z triton_mm_416 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=8 2025-09-07T10:18:25.0134916Z triton_mm_417 0.0102 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 2025-09-07T10:18:25.0136108Z triton_mm_420 0.0102 ms 90.0% 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 2025-09-07T10:18:25.0137559Z triton_mm_424 0.0102 ms 90.0% 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 2025-09-07T10:18:25.0138314Z mm 0.0113 ms 81.8% 2025-09-07T10:18:25.0138850Z SingleProcess AUTOTUNE benchmarking takes 0.2614 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:25.2666138Z Autotune Choices Stats: 2025-09-07T10:18:25.2667318Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_429", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:18:25.2785869Z AUTOTUNE mm(1568x480, 480x96) 2025-09-07T10:18:25.2786190Z strides: [480, 1], [1, 480] 2025-09-07T10:18:25.2786492Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:25.2787268Z triton_mm_429 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:25.2788469Z triton_mm_430 0.0113 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 2025-09-07T10:18:25.2789931Z triton_mm_431 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:25.2790701Z mm 0.0123 ms 91.7% 2025-09-07T10:18:25.2791410Z triton_mm_428 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:25.2792608Z triton_mm_434 0.0123 ms 91.7% 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 2025-09-07T10:18:25.2793791Z triton_mm_435 0.0123 ms 91.7% 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 2025-09-07T10:18:25.2794987Z triton_mm_437 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:25.2796178Z triton_mm_438 0.0133 ms 84.6% 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 2025-09-07T10:18:25.2797447Z triton_mm_440 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:25.2798490Z SingleProcess AUTOTUNE benchmarking takes 0.2653 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:25.5236636Z Autotune Choices Stats: 2025-09-07T10:18:25.5237835Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_446", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:18:25.5356821Z AUTOTUNE mm(1568x96, 96x288) 2025-09-07T10:18:25.5357133Z strides: [96, 1], [1, 96] 2025-09-07T10:18:25.5357501Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:25.5358271Z triton_mm_446 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 2025-09-07T10:18:25.5359484Z triton_mm_453 0.0092 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 2025-09-07T10:18:25.5360928Z triton_mm_454 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:25.5362124Z triton_mm_455 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:25.5363333Z triton_mm_457 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:25.5364533Z triton_mm_458 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:25.5365281Z mm 0.0102 ms 90.0% 2025-09-07T10:18:25.5365968Z triton_mm_445 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:18:25.5367147Z triton_mm_447 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:25.5368310Z triton_mm_448 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:25.5369479Z SingleProcess AUTOTUNE benchmarking takes 0.2564 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:25.7811311Z Autotune Choices Stats: 2025-09-07T10:18:25.7812479Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_465", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:18:25.7932780Z AUTOTUNE mm(1568x288, 288x96) 2025-09-07T10:18:25.7933086Z strides: [288, 1], [1, 288] 2025-09-07T10:18:25.7933414Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:25.7934177Z triton_mm_465 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:25.7935399Z triton_mm_466 0.0102 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 2025-09-07T10:18:25.7936604Z triton_mm_467 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:25.7937813Z triton_mm_470 0.0102 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 2025-09-07T10:18:25.7939017Z triton_mm_464 0.0113 ms 90.9% 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 2025-09-07T10:18:25.7940220Z triton_mm_471 0.0113 ms 90.9% 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 2025-09-07T10:18:25.7941427Z triton_mm_473 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:25.7942614Z triton_mm_474 0.0113 ms 90.9% 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 2025-09-07T10:18:25.7943795Z triton_mm_476 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:25.7944852Z mm 0.0123 ms 83.3% 2025-09-07T10:18:25.7945394Z SingleProcess AUTOTUNE benchmarking takes 0.2568 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:26.0513449Z Autotune Choices Stats: 2025-09-07T10:18:26.0514635Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_559", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:18:26.0635599Z AUTOTUNE mm(1568x96, 96x576) 2025-09-07T10:18:26.0635926Z strides: [96, 1], [1, 96] 2025-09-07T10:18:26.0636242Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:26.0637035Z triton_mm_559 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:26.0638328Z triton_mm_562 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:26.0639537Z triton_mm_563 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:26.0641077Z triton_mm_565 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:26.0642296Z triton_mm_568 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:26.0643055Z mm 0.0113 ms 90.9% 2025-09-07T10:18:26.0643755Z triton_mm_557 0.0113 ms 90.9% 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 2025-09-07T10:18:26.0644952Z triton_mm_558 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:26.0646129Z triton_mm_560 0.0113 ms 90.9% 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 2025-09-07T10:18:26.0647327Z triton_mm_561 0.0113 ms 90.9% 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 2025-09-07T10:18:26.0648351Z SingleProcess AUTOTUNE benchmarking takes 0.2568 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:26.3197871Z Autotune Choices Stats: 2025-09-07T10:18:26.3199074Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_575", "best_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", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:18:26.3320953Z AUTOTUNE mm(392x576, 576x192) 2025-09-07T10:18:26.3321296Z strides: [576, 1], [1, 576] 2025-09-07T10:18:26.3321605Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:26.3322417Z triton_mm_575 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:26.3323633Z triton_mm_573 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:26.3324817Z triton_mm_574 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:26.3330956Z triton_mm_579 0.0113 ms 90.9% 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 2025-09-07T10:18:26.3331711Z mm 0.0123 ms 83.3% 2025-09-07T10:18:26.3332421Z triton_mm_572 0.0123 ms 83.3% 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 2025-09-07T10:18:26.3333928Z triton_mm_578 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:26.3335121Z triton_mm_581 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:26.3336302Z triton_mm_582 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:26.3337499Z triton_mm_584 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:26.3338519Z SingleProcess AUTOTUNE benchmarking takes 0.2678 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:26.5769193Z Autotune Choices Stats: 2025-09-07T10:18:26.5770830Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_598", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:18:26.5891149Z AUTOTUNE mm(392x192, 192x1152) 2025-09-07T10:18:26.5891468Z strides: [192, 1], [1, 192] 2025-09-07T10:18:26.5891767Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:26.5892545Z triton_mm_598 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:26.5894059Z triton_mm_599 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:26.5895269Z triton_mm_600 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:26.5896467Z triton_mm_601 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:26.5897659Z triton_mm_602 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:26.5898854Z triton_mm_596 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:26.5900037Z triton_mm_605 0.0113 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=3, num_warps=4 2025-09-07T10:18:26.5901232Z triton_mm_590 0.0123 ms 83.3% 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 2025-09-07T10:18:26.5902417Z triton_mm_591 0.0123 ms 83.3% 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 2025-09-07T10:18:26.5903590Z triton_mm_595 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:26.5904844Z SingleProcess AUTOTUNE benchmarking takes 0.2563 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:26.8581692Z Autotune Choices Stats: 2025-09-07T10:18:26.8582883Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_611", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:18:26.8703718Z AUTOTUNE mm(392x1152, 1152x192) 2025-09-07T10:18:26.8704026Z strides: [1152, 1], [1, 1152] 2025-09-07T10:18:26.8704341Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:26.8705116Z triton_mm_611 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:26.8705874Z mm 0.0143 ms 85.7% 2025-09-07T10:18:26.8706585Z triton_mm_615 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:26.8707763Z triton_mm_609 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:26.8709239Z triton_mm_608 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:26.8710424Z triton_mm_610 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:26.8711599Z triton_mm_614 0.0174 ms 70.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:26.8712787Z triton_mm_618 0.0195 ms 63.2% 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 2025-09-07T10:18:26.8713979Z triton_mm_617 0.0215 ms 57.1% 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 2025-09-07T10:18:26.8715176Z triton_mm_620 0.0215 ms 57.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:26.8716200Z SingleProcess AUTOTUNE benchmarking takes 0.2806 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:27.1548749Z Autotune Choices Stats: 2025-09-07T10:18:27.1549939Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_719", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:18:27.1677593Z AUTOTUNE mm(392x1152, 1152x320) 2025-09-07T10:18:27.1677927Z strides: [1152, 1], [1, 1152] 2025-09-07T10:18:27.1678219Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:27.1678996Z triton_mm_719 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:27.1679785Z mm 0.0133 ms 92.3% 2025-09-07T10:18:27.1680479Z triton_mm_723 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:18:27.1681665Z triton_mm_717 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:27.1683151Z triton_mm_716 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:27.1684320Z triton_mm_718 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:27.1685508Z triton_mm_722 0.0174 ms 70.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:27.1686688Z triton_mm_726 0.0195 ms 63.2% 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 2025-09-07T10:18:27.1687872Z triton_mm_725 0.0215 ms 57.1% 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 2025-09-07T10:18:27.1689059Z triton_mm_728 0.0215 ms 57.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:27.1690086Z SingleProcess AUTOTUNE benchmarking takes 0.2805 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:27.4155453Z Autotune Choices Stats: 2025-09-07T10:18:27.4157219Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.011264000087976456, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_743", "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=4, num_warps=8"} 2025-09-07T10:18:27.4279031Z AUTOTUNE mm(392x320, 320x1280) 2025-09-07T10:18:27.4279356Z strides: [320, 1], [1, 320] 2025-09-07T10:18:27.4279637Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:27.4279961Z mm 0.0113 ms 100.0% 2025-09-07T10:18:27.4280675Z triton_mm_743 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:27.4281876Z triton_mm_744 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:27.4283094Z triton_mm_746 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:18:27.4284282Z triton_mm_740 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:18:27.4285466Z triton_mm_742 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:27.4286660Z triton_mm_745 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:18:27.4287852Z triton_mm_749 0.0133 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 2025-09-07T10:18:27.4289045Z triton_mm_734 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:18:27.4290225Z triton_mm_736 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:18:27.4291250Z SingleProcess AUTOTUNE benchmarking takes 0.2594 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:18:54.1044599Z W0907 10:18:54.103000 122294 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:19:28.2113077Z pass 2025-09-07T10:19:33.1528951Z accuracy pass_rate=100.00% 2025-09-07T10:19:33.1535335Z calls_captured gmean=868.31x mean=931.200x 2025-09-07T10:19:33.1540074Z unique_graphs gmean=2.55x mean=2.600x 2025-09-07T10:19:33.1544634Z graph_breaks gmean=6.48x mean=6.500x 2025-09-07T10:19:33.1549089Z unique_graph_breaks gmean=5.00x mean=5.000x 2025-09-07T10:19:33.1553659Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:19:33.1558407Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:19:33.1562905Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:19:33.1564370Z compilation_latency mean=104.416 seconds 2025-09-07T10:19:34.5354716Z + [[ 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* ]] 2025-09-07T10:19:34.5356297Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:19:34.5356622Z + for target in "${targets[@]}" 2025-09-07T10:19:34.5356929Z + target_flag=('--performance') 2025-09-07T10:19:34.5357204Z + local target_flag 2025-09-07T10:19:34.5357565Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T10:19:34.5362606Z + target_flag+=(--cold-start-latency) 2025-09-07T10:19:34.5364175Z + [[ 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* ]] 2025-09-07T10:19:34.5366633Z + [[ 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* ]] 2025-09-07T10:19:34.5369237Z + python benchmarks/dynamo/timm_models.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 6 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.csv 2025-09-07T10:19:35.6725104Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:19:35.6726506Z import pynvml # type: ignore[import] 2025-09-07T10:19:40.9279361Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:19:40.9280824Z import pynvml # type: ignore[import] 2025-09-07T10:19:44.3245063Z 2025-09-07T10:19:45.7364717Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:19:45.7365102Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:19:45.7365423Z cuda train repvgg_a2 2025-09-07T10:20:29.0658506Z W0907 10:20:29.065000 130525 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:20:57.8285064Z 2025-09-07T10:20:58.0400303Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:28:51.4083698Z 2025-09-07T10:28:51.5751041Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:33:32.3708995Z 2025-09-07T10:33:32.7044471Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:36:13.2465937Z 2025-09-07T10:36:13.4295766Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:37:49.5952054Z 2025-09-07T10:37:49.7314195Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:39:24.5391695Z 2025-09-07T10:39:24.8023441Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:47:26.8424297Z 2025-09-07T10:47:27.0381823Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:52:12.4482568Z 2025-09-07T10:52:12.9249564Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:54:55.5917764Z 2025-09-07T10:54:55.8297457Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:56:34.5374283Z 2025-09-07T10:56:34.7299746Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:58:17.6222965Z 2025-09-07T10:58:17.9223519Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:06:36.9286449Z 2025-09-07T11:06:37.1224599Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:11:33.4067315Z 2025-09-07T11:11:34.1152821Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:14:22.1321697Z 2025-09-07T11:14:22.4681797Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:16:03.6150402Z 2025-09-07T11:16:03.9114953Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:18:33.4890621Z 2025-09-07T11:18:33.7004269Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:33:16.3377452Z 2025-09-07T11:33:16.5081103Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:41:33.5346999Z 2025-09-07T11:41:33.8661552Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:45:36.2424105Z 2025-09-07T11:45:36.4256458Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:48:26.4526840Z 2025-09-07T11:48:26.6064509Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:50:20.4945823Z 2025-09-07T11:50:20.7535974Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:00:29.1173682Z 2025-09-07T12:00:29.3054894Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:07:08.4197040Z 2025-09-07T12:07:08.8695565Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:11:30.9567731Z 2025-09-07T12:11:31.2507522Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:13:41.5618173Z 2025-09-07T12:13:41.7487180Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T14:09:41.7039776Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T14:09:41.7052422Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:09:41.7052972Z env: 2025-09-07T14:09:41.7053200Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:09:41.7053665Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:09:41.7054143Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:09:41.7054754Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:09:41.7055272Z ##[endgroup] 2025-09-07T14:09:41.7084639Z + [[ -n '' ]] 2025-09-07T14:09:41.7085029Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T14:09:42.0138715Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T14:09:42.8250370Z Collecting boto3==1.35.33 2025-09-07T14:09:42.8972983Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T14:09:42.9332905Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 4.2 MB/s eta 0:00:00 2025-09-07T14:09:43.0924178Z Collecting psutil==7.0.0 2025-09-07T14:09:43.1031579Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T14:09:43.1397410Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 7.7 MB/s eta 0:00:00 2025-09-07T14:09:43.1837939Z Collecting pynvml==12.0.0 2025-09-07T14:09:43.1955263Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T14:09:43.2370398Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T14:09:43.2474426Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T14:09:43.2613274Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 6.0 MB/s eta 0:00:00 2025-09-07T14:09:43.9971670Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T14:09:44.0076960Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T14:09:44.4525971Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 39.3 MB/s eta 0:00:00 2025-09-07T14:09:44.5190677Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T14:09:44.5298710Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T14:09:44.5776611Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T14:09:44.5935525Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T14:09:44.6005934Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 7.0 MB/s eta 0:00:00 2025-09-07T14:09:44.6071186Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T14:09:44.6083899Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.5) 2025-09-07T14:09:44.9321182Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T14:09:44.9322087Z Attempting uninstall: nvidia-ml-py 2025-09-07T14:09:44.9327644Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T14:09:44.9364825Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T14:09:44.9388069Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T14:09:45.0099616Z Attempting uninstall: psutil 2025-09-07T14:09:45.0106697Z Found existing installation: psutil 5.9.8 2025-09-07T14:09:45.0254147Z Uninstalling psutil-5.9.8: 2025-09-07T14:09:45.0262306Z Successfully uninstalled psutil-5.9.8 2025-09-07T14:09:45.8238303Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T14:09:45.9315463Z + DEVICE_NAME= 2025-09-07T14:09:45.9315727Z + DEVICE_TYPE= 2025-09-07T14:09:45.9315965Z + command -v nvidia-smi 2025-09-07T14:09:45.9316412Z + python3 -mpip install torch==2.7.1 2025-09-07T14:09:45.9316737Z /usr/bin/nvidia-smi 2025-09-07T14:09:46.2343329Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T14:09:46.4801539Z Collecting torch==2.7.1 2025-09-07T14:09:46.5541186Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T14:09:57.9141265Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.4 MB/s eta 0:00:00 2025-09-07T14:10:00.0712049Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/charlie/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T14:10:00.0980221Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T14:10:00.1109944Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T14:10:04.7164394Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 3.3 MB/s eta 0:00:00 2025-09-07T14:10:05.7250238Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T14:10:05.7396358Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T14:10:05.8151245Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 121.1 MB/s eta 0:00:00 2025-09-07T14:10:05.8830830Z Collecting networkx 2025-09-07T14:10:05.8934687Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T14:10:05.9117292Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 103.4 MB/s eta 0:00:00 2025-09-07T14:10:05.9480850Z Collecting triton==3.3.1 2025-09-07T14:10:05.9662623Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T14:10:07.2927206Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 16.2 MB/s eta 0:00:00 2025-09-07T14:10:07.7093066Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T14:10:07.7199126Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T14:10:07.8579671Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 103.1 MB/s eta 0:00:00 2025-09-07T14:10:07.9254793Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T14:10:07.9381756Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T14:10:07.9515298Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 98.7 MB/s eta 0:00:00 2025-09-07T14:10:08.0131793Z Collecting filelock 2025-09-07T14:10:08.0234637Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T14:10:08.0533003Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T14:10:08.0713287Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T14:10:10.2603474Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 8.0 MB/s eta 0:00:00 2025-09-07T14:10:10.8318449Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T14:10:10.8450242Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T14:10:10.8587937Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 76.2 MB/s eta 0:00:00 2025-09-07T14:10:10.8868636Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T14:10:10.8970401Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T14:10:10.9039155Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 15.2 MB/s eta 0:00:00 2025-09-07T14:10:10.9265024Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T14:10:10.9406503Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T14:10:12.7791590Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 9.5 MB/s eta 0:00:00 2025-09-07T14:10:13.2983621Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T14:10:13.3127163Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T14:10:14.5336376Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 16.3 MB/s eta 0:00:00 2025-09-07T14:10:14.9496830Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T14:10:14.9628021Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T14:10:16.8268677Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 9.5 MB/s eta 0:00:00 2025-09-07T14:10:17.4664440Z Collecting sympy>=1.13.3 2025-09-07T14:10:17.4766512Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T14:10:17.6826082Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 30.8 MB/s eta 0:00:00 2025-09-07T14:10:17.8244309Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T14:10:17.8364501Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T14:10:20.7895943Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 4.4 MB/s eta 0:00:00 2025-09-07T14:10:21.3377013Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T14:10:21.3502149Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T14:10:29.0257636Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 1.9 MB/s eta 0:00:00 2025-09-07T14:10:30.4931527Z Collecting fsspec 2025-09-07T14:10:30.5036203Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T14:10:30.5121197Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 28.9 MB/s eta 0:00:00 2025-09-07T14:10:30.5391117Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T14:10:30.5530289Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T14:10:30.7284180Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 89.2 MB/s eta 0:00:00 2025-09-07T14:10:30.8162805Z Collecting jinja2 2025-09-07T14:10:30.8265892Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T14:10:30.8333592Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 25.4 MB/s eta 0:00:00 2025-09-07T14:10:30.8584186Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T14:10:30.8731924Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T14:10:31.2733580Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 49.5 MB/s eta 0:00:00 2025-09-07T14:10:31.4427063Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3/dist-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-09-07T14:10:31.4699040Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T14:10:31.4803081Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T14:10:31.4914380Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 56.7 MB/s eta 0:00:00 2025-09-07T14:10:31.6990133Z Collecting MarkupSafe>=2.0 2025-09-07T14:10:31.7092975Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T14:10:32.0829711Z Installing collected packages: nvidia-cusparselt-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch 2025-09-07T14:10:36.6120489Z WARNING: The scripts proton and proton-viewer are installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T14:10:36.6121429Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:10:40.8696205Z WARNING: The script isympy is installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T14:10:40.8697082Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:11:17.3053610Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T14:11:17.3054574Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:11:17.6112483Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.9.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-09-07T14:11:18.1510235Z + echo DEVICE_NAME= 2025-09-07T14:11:18.1510546Z + echo DEVICE_TYPE= 2025-09-07T14:11:18.1537397Z ##[group]Run set -eux 2025-09-07T14:11:18.1537666Z set -eux 2025-09-07T14:11:18.1537896Z  2025-09-07T14:11:18.1538143Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T14:11:18.1538653Z  echo "Missing github-token input" 2025-09-07T14:11:18.1538970Z  exit 1 2025-09-07T14:11:18.1539198Z fi 2025-09-07T14:11:18.1551469Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:18.1551869Z env: 2025-09-07T14:11:18.1552105Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:18.1552445Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:18.1552908Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:18.1553523Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:18.1554042Z DEVICE_NAME: 2025-09-07T14:11:18.1554276Z DEVICE_TYPE: 2025-09-07T14:11:18.1554733Z GITHUB_TOKEN: *** 2025-09-07T14:11:18.1554959Z ##[endgroup] 2025-09-07T14:11:18.1667303Z + [[ -z *** ]] 2025-09-07T14:11:18.1865512Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T14:11:18.1865960Z with: 2025-09-07T14:11:18.1866384Z github-token: *** 2025-09-07T14:11:18.1866629Z env: 2025-09-07T14:11:18.1866831Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:18.1867176Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:18.1867646Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:18.1868253Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:18.1868773Z DEVICE_NAME: 2025-09-07T14:11:18.1868989Z DEVICE_TYPE: 2025-09-07T14:11:18.1869333Z ##[endgroup] 2025-09-07T14:11:18.2104873Z ##[group]Run set -eux 2025-09-07T14:11:18.2105164Z set -eux 2025-09-07T14:11:18.2105398Z  2025-09-07T14:11:18.2105886Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T14:11:18.2117754Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:18.2118150Z env: 2025-09-07T14:11:18.2118377Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:18.2118717Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:18.2119177Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:18.2119785Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:18.2120308Z DEVICE_NAME: 2025-09-07T14:11:18.2120542Z DEVICE_TYPE: 2025-09-07T14:11:18.2121001Z GITHUB_TOKEN: *** 2025-09-07T14:11:18.2121231Z ##[endgroup] 2025-09-07T14:11:18.2232768Z + python3 /home/charlie/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525309334 i-04318a58cd30ea7bb-1003 2025-09-07T14:11:19.3277489Z setting job-id=49775768436 2025-09-07T14:11:19.3278026Z setting job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T14:11:19.3420858Z ##[group]Run set -eux 2025-09-07T14:11:19.3421179Z set -eux 2025-09-07T14:11:19.3421423Z  2025-09-07T14:11:19.3421658Z if [[ -n "" ]]; then 2025-09-07T14:11:19.3421956Z  source "" 2025-09-07T14:11:19.3422191Z fi 2025-09-07T14:11:19.3422411Z  2025-09-07T14:11:19.3422812Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T14:11:19.3423356Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T14:11:19.3423703Z  --repo "${REPO}" \ 2025-09-07T14:11:19.3424021Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T14:11:19.3424369Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T14:11:19.3424924Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T14:11:19.3425307Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T14:11:19.3425635Z  --job-id "${JOB_ID}" \ 2025-09-07T14:11:19.3425952Z  --job-name "${JOB_NAME}" 2025-09-07T14:11:19.3437896Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:19.3438297Z env: 2025-09-07T14:11:19.3438512Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:19.3438974Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:19.3439451Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:19.3440065Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:19.3440617Z DEVICE_NAME: 2025-09-07T14:11:19.3440840Z DEVICE_TYPE: 2025-09-07T14:11:19.3441076Z SCHEMA_VERSION: v3 2025-09-07T14:11:19.3441337Z REPO: pytorch/pytorch 2025-09-07T14:11:19.3441612Z HEAD_BRANCH: refs/heads/main 2025-09-07T14:11:19.3441947Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T14:11:19.3442311Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T14:11:19.3442593Z RUN_ATTEMPT: 1 2025-09-07T14:11:19.3442834Z JOB_ID: 49775768436 2025-09-07T14:11:19.3443244Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T14:11:19.3443736Z ##[endgroup] 2025-09-07T14:11:19.3547482Z + [[ -n '' ]] 2025-09-07T14:11:19.3549467Z + python3 /home/charlie/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17525309334 --run-attempt 1 --job-id 49775768436 --job-name 'cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100)' 2025-09-07T14:11:19.3869988Z ##[group]Run set -eux 2025-09-07T14:11:19.3870274Z set -eux 2025-09-07T14:11:19.3870799Z  2025-09-07T14:11:19.3871033Z if [[ -n "" ]]; then 2025-09-07T14:11:19.3871297Z  source "" 2025-09-07T14:11:19.3871539Z fi 2025-09-07T14:11:19.3871758Z  2025-09-07T14:11:19.3872159Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T14:11:19.3883953Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:19.3884350Z env: 2025-09-07T14:11:19.3884580Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:19.3884936Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:19.3885407Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:19.3886011Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:19.3886541Z DEVICE_NAME: 2025-09-07T14:11:19.3886777Z DEVICE_TYPE: 2025-09-07T14:11:19.3887008Z ##[endgroup] 2025-09-07T14:11:19.3998154Z + [[ -n '' ]] 2025-09-07T14:11:19.3998916Z + python3 /home/charlie/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T14:11:20.2273158Z /home/charlie/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T14:11:20.2274449Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T14:11:21.4118423Z ##[group]Run set -eux 2025-09-07T14:11:21.4118711Z set -eux 2025-09-07T14:11:21.4118940Z  2025-09-07T14:11:21.4119180Z # TODO (huydhn): Implement this part 2025-09-07T14:11:21.4119580Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T14:11:21.4132096Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:21.4132500Z env: 2025-09-07T14:11:21.4132905Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:21.4133255Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:21.4133928Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:21.4134549Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:21.4135076Z DEVICE_NAME: 2025-09-07T14:11:21.4135297Z DEVICE_TYPE: 2025-09-07T14:11:21.4135525Z ##[endgroup] 2025-09-07T14:11:21.4259183Z + echo 'dependencies={}' 2025-09-07T14:11:21.4565148Z ##[group]Run set -eux 2025-09-07T14:11:21.4565572Z set -eux 2025-09-07T14:11:21.4565802Z  2025-09-07T14:11:21.4566024Z if [[ -n "" ]]; then 2025-09-07T14:11:21.4566292Z  source "" 2025-09-07T14:11:21.4566535Z fi 2025-09-07T14:11:21.4566754Z  2025-09-07T14:11:21.4567009Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T14:11:21.4567457Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T14:11:21.4567958Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T14:11:21.4568376Z  exit 0 2025-09-07T14:11:21.4568601Z fi 2025-09-07T14:11:21.4568798Z  2025-09-07T14:11:21.4569031Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T14:11:21.4569517Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T14:11:21.4570090Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T14:11:21.4570518Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T14:11:21.4570884Z  --runners "${RUNNER_INFO}" \ 2025-09-07T14:11:21.4571245Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T14:11:21.4571583Z  --dry-run 2025-09-07T14:11:21.4571836Z else 2025-09-07T14:11:21.4572210Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T14:11:21.4572960Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T14:11:21.4573521Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T14:11:21.4573890Z  --runners "${RUNNER_INFO}" \ 2025-09-07T14:11:21.4574231Z  --dependencies "${DEPENDENCIES}" 2025-09-07T14:11:21.4574561Z fi 2025-09-07T14:11:21.4586102Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:21.4586490Z env: 2025-09-07T14:11:21.4586717Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:21.4587047Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:21.4587522Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:21.4588139Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:21.4588665Z DEVICE_NAME: 2025-09-07T14:11:21.4588877Z DEVICE_TYPE: 2025-09-07T14:11:21.4589138Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T14:11:21.4589461Z DRY_RUN: false 2025-09-07T14:11:21.4590813Z BENCHMARK_METADATA: {"timestamp": 1757254279, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768436} 2025-09-07T14:11:21.4592772Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "feeb0ac05545"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}] 2025-09-07T14:11:21.4593622Z DEPENDENCIES: {} 2025-09-07T14:11:21.4593848Z ##[endgroup] 2025-09-07T14:11:21.4681595Z + [[ -n '' ]] 2025-09-07T14:11:21.4681852Z + [[ ! -d test/test-reports ]] 2025-09-07T14:11:21.4682148Z + [[ false == \t\r\u\e ]] 2025-09-07T14:11:21.4685295Z + python3 /home/charlie/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757254279, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768436}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "feeb0ac05545"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}]' --dependencies '{}' 2025-09-07T14:11:21.5992496Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:11:21.6341228Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T14:11:21.8802985Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:11:22.0764857Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:11:22.2849326Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:11:22.4399576Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.json 2025-09-07T14:11:22.6017822Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:11:22.7915690Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:11:22.9975408Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:11:23.1879440Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.json 2025-09-07T14:11:23.3411615Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.json 2025-09-07T14:11:23.5338277Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_dynamic_timm_models_amp_training_cuda_performance.json 2025-09-07T14:11:23.7009031Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:11:23.8861578Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:11:24.0198187Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:11:24.1799635Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:11:24.3683036Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:11:24.5260768Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:11:24.6856987Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:11:24.8416740Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:11:25.0364624Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:11:25.2274540Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:11:25.3990152Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:11:25.5906696Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:11:25.7475658Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_max_autotune_timm_models_amp_training_cuda_performance.json 2025-09-07T14:11:25.9071272Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:11:26.0703254Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:11:26.2351201Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:11:26.4461534Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:11:26.6275983Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:11:26.7675363Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:11:26.9522370Z INFO:root:Upload test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:11:27.1033704Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_dynamic_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:11:27.2562466Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:11:27.4330164Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:11:27.6553748Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:11:27.8169205Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:11:27.9880964Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:11:28.1584290Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:11:28.3155439Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:11:28.4899491Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768436/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:11:28.7604194Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T14:11:28.7604602Z cat test/**/*_toprint.log || true 2025-09-07T14:11:28.7617512Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:28.7617900Z env: 2025-09-07T14:11:28.7618132Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:28.7618481Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:28.7619091Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:28.7619693Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:28.7620242Z DEVICE_NAME: 2025-09-07T14:11:28.7620476Z DEVICE_TYPE: 2025-09-07T14:11:28.7620705Z ##[endgroup] 2025-09-07T14:11:28.7806902Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T14:11:28.8041486Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T14:11:28.8041870Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T14:11:28.8053737Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:28.8054140Z env: 2025-09-07T14:11:28.8054371Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:28.8054712Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:28.8055177Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:28.8055770Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:28.8056303Z DEVICE_NAME: 2025-09-07T14:11:28.8056532Z DEVICE_TYPE: 2025-09-07T14:11:28.8056772Z MONITOR_SCRIPT_PID: 8130 2025-09-07T14:11:28.8057025Z ##[endgroup] 2025-09-07T14:11:28.8293899Z Prepare all required actions 2025-09-07T14:11:28.8294363Z Getting action download info 2025-09-07T14:11:29.0060993Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T14:11:29.7190335Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T14:11:31.2868455Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T14:11:31.2868842Z with: 2025-09-07T14:11:31.2869195Z file-suffix: test-inductor_timm_perf-5-6-linux.aws.a100_49775768436 2025-09-07T14:11:31.2869662Z s3-bucket: gha-artifacts 2025-09-07T14:11:31.2869946Z env: 2025-09-07T14:11:31.2870189Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:31.2870533Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:31.2871016Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:31.2871677Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:31.2872189Z DEVICE_NAME: 2025-09-07T14:11:31.2872427Z DEVICE_TYPE: 2025-09-07T14:11:31.2872653Z ##[endgroup] 2025-09-07T14:11:31.3084403Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T14:11:31.3084875Z # Remove any previous test jsons if they exist 2025-09-07T14:11:31.3085266Z rm -f test-jsons-*.zip 2025-09-07T14:11:31.3085695Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T14:11:31.3098613Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:31.3098992Z env: 2025-09-07T14:11:31.3099211Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:31.3099543Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:31.3099999Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:31.3100599Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:31.3101111Z DEVICE_NAME: 2025-09-07T14:11:31.3101341Z DEVICE_TYPE: 2025-09-07T14:11:31.3101688Z FILE_SUFFIX: test-inductor_timm_perf-5-6-linux.aws.a100_49775768436 2025-09-07T14:11:31.3102089Z ##[endgroup] 2025-09-07T14:11:31.3291240Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.3385901Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.3465475Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.3484486Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.3513048Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.3532377Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.3551974Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.3631750Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.3660361Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.3688901Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.3717458Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.3828692Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.3857703Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.3886359Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.3984315Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.4003522Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4022776Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4051344Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.4070547Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4089790Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4118815Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.4211059Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.4239771Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.4268253Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.4297132Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.4325968Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:11:31.4407662Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.4501546Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.4520684Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4598667Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.4617703Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4636789Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4655909Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4732403Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.4751694Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4770973Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4862951Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.4882135Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:11:31.4943492Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.5031372Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:11:31.5085469Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T14:11:31.5085936Z # Remove any previous test reports if they exist 2025-09-07T14:11:31.5086431Z rm -f test-reports-*.zip 2025-09-07T14:11:31.5086904Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T14:11:31.5098786Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:31.5099163Z env: 2025-09-07T14:11:31.5099373Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:31.5099692Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:31.5100135Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:31.5100745Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:31.5101258Z DEVICE_NAME: 2025-09-07T14:11:31.5101479Z DEVICE_TYPE: 2025-09-07T14:11:31.5101822Z FILE_SUFFIX: test-inductor_timm_perf-5-6-linux.aws.a100_49775768436 2025-09-07T14:11:31.5102232Z ##[endgroup] 2025-09-07T14:11:31.5236941Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T14:11:31.5237941Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T14:11:31.5239311Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:11:31.5240925Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:11:31.5241982Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T14:11:31.5242996Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T14:11:31.5244174Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T14:11:31.5245300Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 66%) 2025-09-07T14:11:31.5246380Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:11:31.5247439Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance.csv (deflated 49%) 2025-09-07T14:11:31.5248343Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:11:31.5249425Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:11:31.5250380Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.csv (deflated 52%) 2025-09-07T14:11:31.5251403Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T14:11:31.5252497Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:11:31.5253679Z adding: test/test-reports/inductor_cudagraphs_low_precision_timm_models_quant_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T14:11:31.5254627Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T14:11:31.5255511Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T14:11:31.5256637Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T14:11:31.5257753Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:11:31.5258752Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T14:11:31.5259686Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.csv (deflated 55%) 2025-09-07T14:11:31.5260669Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:11:31.5261705Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T14:11:31.5262757Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:11:31.5263802Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:11:31.5264821Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T14:11:31.5265943Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T14:11:31.5267024Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:11:31.5268131Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:11:31.5269137Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T14:11:31.5270098Z adding: test/test-reports/inductor_cudagraphs_low_precision_timm_models_quant_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:11:31.5271108Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T14:11:31.5272046Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T14:11:31.5273005Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:11:31.5273972Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.csv (deflated 50%) 2025-09-07T14:11:31.5274885Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance.csv (deflated 49%) 2025-09-07T14:11:31.5275861Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 57%) 2025-09-07T14:11:31.5276823Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.csv (deflated 53%) 2025-09-07T14:11:31.5277844Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T14:11:31.5278893Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:11:31.5279875Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 55%) 2025-09-07T14:11:31.5329060Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T14:11:31.5329529Z # Remove any previous usage logs if they exist 2025-09-07T14:11:31.5329908Z rm -f logs-*.zip 2025-09-07T14:11:31.5330249Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T14:11:31.5330769Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T14:11:31.5342290Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:31.5342685Z env: 2025-09-07T14:11:31.5342913Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:31.5343374Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:31.5343848Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:31.5344459Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:31.5344986Z DEVICE_NAME: 2025-09-07T14:11:31.5345282Z DEVICE_TYPE: 2025-09-07T14:11:31.5345624Z FILE_SUFFIX: test-inductor_timm_perf-5-6-linux.aws.a100_49775768436 2025-09-07T14:11:31.5346046Z ##[endgroup] 2025-09-07T14:11:31.5652060Z adding: usage_log.txt (deflated 92%) 2025-09-07T14:11:31.5665854Z 2025-09-07T14:11:31.5666194Z zip error: Nothing to do! (logs-test-inductor_timm_perf-5-6-linux.aws.a100_49775768436.zip) 2025-09-07T14:11:31.5784189Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T14:11:31.5784728Z # Remove any previous debugging artifacts if they exist 2025-09-07T14:11:31.5785135Z rm -f debug-*.zip 2025-09-07T14:11:31.5785410Z if [ -d 'test/debug' ]; then 2025-09-07T14:11:31.5785769Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T14:11:31.5786106Z fi 2025-09-07T14:11:31.5797017Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:31.5797520Z env: 2025-09-07T14:11:31.5797720Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:31.5798056Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:31.5798511Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:31.5799107Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:31.5799622Z DEVICE_NAME: 2025-09-07T14:11:31.5799835Z DEVICE_TYPE: 2025-09-07T14:11:31.5800173Z FILE_SUFFIX: test-inductor_timm_perf-5-6-linux.aws.a100_49775768436 2025-09-07T14:11:31.5800586Z ##[endgroup] 2025-09-07T14:11:31.6022961Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:11:31.6023293Z with: 2025-09-07T14:11:31.6023520Z s3-bucket: gha-artifacts 2025-09-07T14:11:31.6023858Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:11:31.6024205Z retention-days: 14 2025-09-07T14:11:31.6024439Z if-no-files-found: warn 2025-09-07T14:11:31.6024701Z path: test-jsons-*.zip 2025-09-07T14:11:31.6024944Z name: artifact 2025-09-07T14:11:31.6025164Z region: us-east-1 2025-09-07T14:11:31.6025372Z env: 2025-09-07T14:11:31.6025571Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:31.6025906Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:31.6026367Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:31.6026957Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:31.6027461Z DEVICE_NAME: 2025-09-07T14:11:31.6027681Z DEVICE_TYPE: 2025-09-07T14:11:31.6027989Z ##[endgroup] 2025-09-07T14:11:31.9339411Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T14:11:31.9339896Z With the provided path, there will be 1 file uploaded 2025-09-07T14:11:31.9340384Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:11:31.9348120Z Starting upload of test-jsons-test-inductor_timm_perf-5-6-linux.aws.a100_49775768436.zip 2025-09-07T14:11:32.2968618Z Finished upload of test-jsons-test-inductor_timm_perf-5-6-linux.aws.a100_49775768436.zip 2025-09-07T14:11:32.3218882Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:11:32.3219240Z with: 2025-09-07T14:11:32.3219473Z s3-bucket: gha-artifacts 2025-09-07T14:11:32.3219806Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:11:32.3220157Z retention-days: 14 2025-09-07T14:11:32.3220420Z if-no-files-found: error 2025-09-07T14:11:32.3220702Z path: test-reports-*.zip 2025-09-07T14:11:32.3220975Z name: artifact 2025-09-07T14:11:32.3221199Z region: us-east-1 2025-09-07T14:11:32.3221443Z env: 2025-09-07T14:11:32.3221659Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:32.3221997Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:32.3222646Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:32.3223262Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:32.3223787Z DEVICE_NAME: 2025-09-07T14:11:32.3224026Z DEVICE_TYPE: 2025-09-07T14:11:32.3224256Z ##[endgroup] 2025-09-07T14:11:32.6528802Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T14:11:32.6529283Z With the provided path, there will be 1 file uploaded 2025-09-07T14:11:32.6529749Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:11:32.6537588Z Starting upload of test-reports-test-inductor_timm_perf-5-6-linux.aws.a100_49775768436.zip 2025-09-07T14:11:32.8809549Z Finished upload of test-reports-test-inductor_timm_perf-5-6-linux.aws.a100_49775768436.zip 2025-09-07T14:11:32.9103190Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:11:32.9103538Z with: 2025-09-07T14:11:32.9103768Z s3-bucket: gha-artifacts 2025-09-07T14:11:32.9104114Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:11:32.9104459Z retention-days: 14 2025-09-07T14:11:32.9104721Z if-no-files-found: ignore 2025-09-07T14:11:32.9104996Z path: logs-*.zip 2025-09-07T14:11:32.9105229Z name: artifact 2025-09-07T14:11:32.9105449Z region: us-east-1 2025-09-07T14:11:32.9105709Z env: 2025-09-07T14:11:32.9105924Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:32.9106273Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:32.9106732Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:32.9107351Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:32.9107877Z DEVICE_NAME: 2025-09-07T14:11:32.9108114Z DEVICE_TYPE: 2025-09-07T14:11:32.9108331Z ##[endgroup] 2025-09-07T14:11:33.2404097Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T14:11:33.2404588Z With the provided path, there will be 1 file uploaded 2025-09-07T14:11:33.2405092Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:11:33.2412851Z Starting upload of logs-test-inductor_timm_perf-5-6-linux.aws.a100_49775768436.zip 2025-09-07T14:11:33.4926894Z Finished upload of logs-test-inductor_timm_perf-5-6-linux.aws.a100_49775768436.zip 2025-09-07T14:11:33.5187845Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:11:33.5188206Z with: 2025-09-07T14:11:33.5188435Z s3-bucket: gha-artifacts 2025-09-07T14:11:33.5188762Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:11:33.5189107Z retention-days: 14 2025-09-07T14:11:33.5189366Z if-no-files-found: ignore 2025-09-07T14:11:33.5189648Z path: debug-*.zip 2025-09-07T14:11:33.5189891Z name: artifact 2025-09-07T14:11:33.5190112Z region: us-east-1 2025-09-07T14:11:33.5204933Z env: 2025-09-07T14:11:33.5205173Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:33.5205741Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:33.5206204Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:33.5206818Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:33.5207340Z DEVICE_NAME: 2025-09-07T14:11:33.5207562Z DEVICE_TYPE: 2025-09-07T14:11:33.5207775Z ##[endgroup] 2025-09-07T14:11:33.8473596Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T14:11:33.8771712Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T14:11:33.8772098Z # shellcheck disable=SC2156 2025-09-07T14:11:33.8773014Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T14:11:33.8785610Z shell: /usr/bin/bash -e {0} 2025-09-07T14:11:33.8785902Z env: 2025-09-07T14:11:33.8786127Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:33.8786476Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:33.8786937Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:33.8787553Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:33.8788081Z DEVICE_NAME: 2025-09-07T14:11:33.8788310Z DEVICE_TYPE: 2025-09-07T14:11:33.8788521Z ##[endgroup] 2025-09-07T14:11:34.3924223Z Prepare all required actions 2025-09-07T14:11:34.3924636Z Getting action download info 2025-09-07T14:11:34.5284660Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T14:11:34.5285044Z with: 2025-09-07T14:11:34.5285263Z job_id: 49775768436 2025-09-07T14:11:34.5285691Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T14:11:34.5286206Z workflow_name: inductor-A100-perf-nightly 2025-09-07T14:11:34.5286548Z workflow_run_id: 17525309334 2025-09-07T14:11:34.5286833Z workflow_attempt: 1 2025-09-07T14:11:34.5287079Z env: 2025-09-07T14:11:34.5287289Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:34.5287632Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:34.5288099Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:34.5288710Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:34.5289231Z DEVICE_NAME: 2025-09-07T14:11:34.5289492Z DEVICE_TYPE: 2025-09-07T14:11:34.5289709Z ##[endgroup] 2025-09-07T14:11:34.5644302Z ##[group]Run echo "workflow_id: 17525309334" 2025-09-07T14:11:34.5644674Z echo "workflow_id: 17525309334" 2025-09-07T14:11:34.5645000Z echo "workflow_attempt: 1" 2025-09-07T14:11:34.5645400Z echo "workflow_Name: inductor-A100-perf-nightly" 2025-09-07T14:11:34.5645800Z echo "job_id: 49775768436" 2025-09-07T14:11:34.5646326Z echo "job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100)" 2025-09-07T14:11:34.5646882Z echo "artifact_prefix: " 2025-09-07T14:11:34.5647193Z python3 --version 2025-09-07T14:11:34.5659266Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:34.5659659Z env: 2025-09-07T14:11:34.5659884Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:34.5660218Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:34.5660694Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:34.5661301Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:34.5661827Z DEVICE_NAME: 2025-09-07T14:11:34.5662058Z DEVICE_TYPE: 2025-09-07T14:11:34.5662267Z ##[endgroup] 2025-09-07T14:11:34.5750786Z workflow_id: 17525309334 2025-09-07T14:11:34.5751096Z workflow_attempt: 1 2025-09-07T14:11:34.5751372Z workflow_Name: inductor-A100-perf-nightly 2025-09-07T14:11:34.5751706Z job_id: 49775768436 2025-09-07T14:11:34.5752123Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100) 2025-09-07T14:11:34.5752801Z artifact_prefix: 2025-09-07T14:11:34.5765237Z Python 3.10.12 2025-09-07T14:11:34.5928322Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T14:11:34.5928643Z with: 2025-09-07T14:11:34.5928839Z shell: bash 2025-09-07T14:11:34.5929065Z timeout_minutes: 5 2025-09-07T14:11:34.5929312Z max_attempts: 5 2025-09-07T14:11:34.5929554Z retry_wait_seconds: 30 2025-09-07T14:11:34.5930117Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T14:11:34.5930735Z polling_interval_seconds: 1 2025-09-07T14:11:34.5931021Z warning_on_retry: true 2025-09-07T14:11:34.5931290Z continue_on_error: false 2025-09-07T14:11:34.5931534Z env: 2025-09-07T14:11:34.5931748Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:34.5932080Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:34.5932542Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:34.5933789Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:34.5934302Z DEVICE_NAME: 2025-09-07T14:11:34.5934531Z DEVICE_TYPE: 2025-09-07T14:11:34.5934758Z ##[endgroup] 2025-09-07T14:11:34.9733530Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T14:11:35.2250600Z Collecting python-dateutil==2.8.2 2025-09-07T14:11:35.3015676Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T14:11:35.3794538Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 3.3 MB/s eta 0:00:00 2025-09-07T14:11:36.0192341Z Collecting boto3==1.35.42 2025-09-07T14:11:36.0314968Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T14:11:36.1429606Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 1.2 MB/s eta 0:00:00 2025-09-07T14:11:36.5543600Z Collecting pandas==2.1.3 2025-09-07T14:11:36.5659260Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T14:11:37.3648801Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 16.0 MB/s eta 0:00:00 2025-09-07T14:11:37.4269633Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/charlie/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T14:11:37.4288270Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T14:11:37.4336982Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/charlie/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T14:11:37.4342414Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/charlie/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T14:11:37.4347772Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/charlie/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T14:11:38.0978276Z Collecting numpy<2,>=1.22.4 2025-09-07T14:11:38.1094812Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T14:11:39.2328049Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 13.3 MB/s eta 0:00:00 2025-09-07T14:11:39.4755800Z Collecting pytz>=2020.1 2025-09-07T14:11:39.4872140Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T14:11:39.6808295Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 2.6 MB/s eta 0:00:00 2025-09-07T14:11:39.8275944Z Collecting tzdata>=2022.1 2025-09-07T14:11:39.8391296Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T14:11:40.0050164Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 2.1 MB/s eta 0:00:00 2025-09-07T14:11:40.0132568Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/charlie/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T14:11:40.0140518Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/charlie/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T14:11:40.0205510Z 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) 2025-09-07T14:11:40.0322019Z Requirement already satisfied: packaging>=17.0 in /home/charlie/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T14:11:40.0434189Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/charlie/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T14:11:40.0440061Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/charlie/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T14:11:40.3608346Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T14:11:42.8045947Z WARNING: The script f2py is installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T14:11:42.8046815Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:11:46.4650074Z Attempting uninstall: boto3 2025-09-07T14:11:46.4657583Z Found existing installation: boto3 1.35.33 2025-09-07T14:11:46.4850928Z Uninstalling boto3-1.35.33: 2025-09-07T14:11:46.4868378Z Successfully uninstalled boto3-1.35.33 2025-09-07T14:11:46.7559386Z 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 2025-09-07T14:11:47.6782337Z Command completed after 1 attempt(s). 2025-09-07T14:11:47.6909901Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T14:11:47.6912210Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T14:11:47.6912935Z  --workflow-run-id "17525309334" \ 2025-09-07T14:11:47.6913344Z  --workflow-name "inductor-A100-perf-nightly" \ 2025-09-07T14:11:47.6913756Z  --workflow-run-attempt "1" \ 2025-09-07T14:11:47.6914105Z  --job-id "49775768436" \ 2025-09-07T14:11:47.6914610Z  --job-name "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100)" \ 2025-09-07T14:11:47.6915148Z  --local-path "" \ 2025-09-07T14:11:47.6915447Z  --artifact-prefix "" 2025-09-07T14:11:47.6927977Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:11:47.6928378Z env: 2025-09-07T14:11:47.6928602Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:11:47.6928948Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:11:47.6929419Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T14:11:47.6930034Z DOCKER_CONTAINER_ID: ab29ba1b5bb20bdbe8146af41abbd6c337cf60234466966c042c8a5d2e860bc3 2025-09-07T14:11:47.6930546Z DEVICE_NAME: 2025-09-07T14:11:47.6930784Z DEVICE_TYPE: 2025-09-07T14:11:47.6931016Z ##[endgroup] 2025-09-07T14:11:51.2302885Z repo: pytorch/pytorch 2025-09-07T14:11:51.2303686Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T14:11:51.2304221Z Downloading logs-test-inductor_timm_perf-5-6-linux.aws.a100_49775768436.zip 2025-09-07T14:11:51.2304957Z extracting usage_log.txt from zip file logs-test-inductor_timm_perf-5-6-linux.aws.a100_49775768436.zip 2025-09-07T14:11:51.2305565Z Converted Log Model: UtilizationMetadata: 2025-09-07T14:11:51.2307094Z UtilizationMetadata(level='metadata', workflow_id='17525309334', job_id='49775768436', workflow_name='inductor-A100-perf-nightly', job_name='cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757234182, gpu_count=1, cpu_count=96, gpu_type='pynvml', error=None) 2025-09-07T14:11:51.2308694Z [Db Segments] detected pytest cmd: 4, generated segments: 4 2025-09-07T14:11:51.2309109Z [db model] Peek db timeseries 2025-09-07T14:11:51.2309392Z :{ 2025-09-07T14:11:51.2309607Z "created_at": 1757254310, 2025-09-07T14:11:51.2309883Z "type": "utilization", 2025-09-07T14:11:51.2310145Z "tags": [ 2025-09-07T14:11:51.2310366Z "record" 2025-09-07T14:11:51.2310578Z ], 2025-09-07T14:11:51.2310793Z "time_stamp": 1757234182, 2025-09-07T14:11:51.2311082Z "repo": "pytorch/pytorch", 2025-09-07T14:11:51.2311373Z "workflow_id": 17525309334, 2025-09-07T14:11:51.2311644Z "run_attempt": 1, 2025-09-07T14:11:51.2311905Z "job_id": 49775768436, 2025-09-07T14:11:51.2312234Z "workflow_name": "inductor-A100-perf-nightly", 2025-09-07T14:11:51.2312780Z "job_name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 5, 6, linux.aws.a100)", 2025-09-07T14:11:51.2313277Z "json_data": "{}" 2025-09-07T14:11:51.2313507Z } 2025-09-07T14:11:51.2314024Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768436/metadata 2025-09-07T14:11:51.2314995Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768436/metadata 2025-09-07T14:11:51.2316000Z Writing 1339 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768436/time_series 2025-09-07T14:11:51.2317015Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768436/time_series 2025-09-07T14:11:51.3344019Z Post job cleanup. 2025-09-07T14:11:51.3402073Z Post job cleanup. 2025-09-07T14:11:51.4403346Z [command]/usr/bin/git version 2025-09-07T14:11:51.4439767Z git version 2.51.0 2025-09-07T14:11:51.4481564Z Temporarily overriding HOME='/home/charlie/_work/_temp/089ad0b0-7852-4930-86ad-0df62c04b7e9' before making global git config changes 2025-09-07T14:11:51.4482461Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T14:11:51.4486631Z [command]/usr/bin/git config --global --add safe.directory /home/charlie/_work/pytorch/pytorch 2025-09-07T14:11:51.4525017Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T14:11:51.4555618Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T14:11:51.4785527Z Entering 'android/libs/fbjni' 2025-09-07T14:11:51.4827172Z Entering 'third_party/FP16' 2025-09-07T14:11:51.4868761Z Entering 'third_party/FXdiv' 2025-09-07T14:11:51.4910505Z Entering 'third_party/NNPACK' 2025-09-07T14:11:51.4952359Z Entering 'third_party/NVTX' 2025-09-07T14:11:51.4994643Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:11:51.5037371Z Entering 'third_party/XNNPACK' 2025-09-07T14:11:51.5095590Z Entering 'third_party/aiter' 2025-09-07T14:11:51.5138629Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T14:11:51.5188073Z Entering 'third_party/benchmark' 2025-09-07T14:11:51.5229313Z Entering 'third_party/composable_kernel' 2025-09-07T14:11:51.5281034Z Entering 'third_party/cpp-httplib' 2025-09-07T14:11:51.5322397Z Entering 'third_party/cpuinfo' 2025-09-07T14:11:51.5365094Z Entering 'third_party/cudnn_frontend' 2025-09-07T14:11:51.5406323Z Entering 'third_party/cutlass' 2025-09-07T14:11:51.5458893Z Entering 'third_party/fbgemm' 2025-09-07T14:11:51.5503281Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T14:11:51.5542594Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T14:11:51.5590801Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T14:11:51.5631689Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T14:11:51.5681286Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T14:11:51.5720753Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T14:11:51.5761134Z Entering 'third_party/fbgemm/external/json' 2025-09-07T14:11:51.5803834Z Entering 'third_party/flash-attention' 2025-09-07T14:11:51.5845837Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T14:11:51.5891418Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T14:11:51.5941644Z Entering 'third_party/flatbuffers' 2025-09-07T14:11:51.5986382Z Entering 'third_party/fmt' 2025-09-07T14:11:51.6027160Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T14:11:51.6067736Z Entering 'third_party/gloo' 2025-09-07T14:11:51.6109026Z Entering 'third_party/googletest' 2025-09-07T14:11:51.6150306Z Entering 'third_party/ideep' 2025-09-07T14:11:51.6190887Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T14:11:51.6237739Z Entering 'third_party/ittapi' 2025-09-07T14:11:51.6279546Z Entering 'third_party/kineto' 2025-09-07T14:11:51.6320475Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T14:11:51.6360021Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T14:11:51.6400578Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T14:11:51.6440514Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T14:11:51.6481201Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T14:11:51.6520186Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T14:11:51.6563247Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T14:11:51.6603144Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T14:11:51.6643113Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T14:11:51.6683743Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T14:11:51.6726022Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T14:11:51.6765529Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T14:11:51.6807168Z Entering 'third_party/kleidiai' 2025-09-07T14:11:51.6848469Z Entering 'third_party/mimalloc' 2025-09-07T14:11:51.6889785Z Entering 'third_party/nlohmann' 2025-09-07T14:11:51.6933657Z Entering 'third_party/onnx' 2025-09-07T14:11:51.6992313Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T14:11:51.7034882Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T14:11:51.7079812Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T14:11:51.7127239Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T14:11:51.7166493Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T14:11:51.7205749Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T14:11:51.7246394Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T14:11:51.7285322Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T14:11:51.7324690Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T14:11:51.7363357Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T14:11:51.7404280Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T14:11:51.7445632Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T14:11:51.7506044Z Entering 'third_party/pocketfft' 2025-09-07T14:11:51.7546909Z Entering 'third_party/protobuf' 2025-09-07T14:11:51.7591271Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T14:11:51.7630141Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T14:11:51.7672849Z Entering 'third_party/psimd' 2025-09-07T14:11:51.7714582Z Entering 'third_party/pthreadpool' 2025-09-07T14:11:51.7755756Z Entering 'third_party/pybind11' 2025-09-07T14:11:51.7798063Z Entering 'third_party/python-peachpy' 2025-09-07T14:11:51.7838756Z Entering 'third_party/sleef' 2025-09-07T14:11:51.7884567Z Entering 'third_party/tensorpipe' 2025-09-07T14:11:51.7925730Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T14:11:51.7964692Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T14:11:51.8004570Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T14:11:51.8043832Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T14:11:51.8083454Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T14:11:51.8142622Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T14:11:51.8164326Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8173300Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T14:11:51.8207893Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T14:11:51.8427792Z Entering 'android/libs/fbjni' 2025-09-07T14:11:51.8450858Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8481766Z Entering 'third_party/FP16' 2025-09-07T14:11:51.8505588Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8536190Z Entering 'third_party/FXdiv' 2025-09-07T14:11:51.8560272Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8589818Z Entering 'third_party/NNPACK' 2025-09-07T14:11:51.8614354Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8644398Z Entering 'third_party/NVTX' 2025-09-07T14:11:51.8668474Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8699335Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:11:51.8722978Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8753485Z Entering 'third_party/XNNPACK' 2025-09-07T14:11:51.8777569Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8823810Z Entering 'third_party/aiter' 2025-09-07T14:11:51.8848037Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8879655Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T14:11:51.8902895Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8943361Z Entering 'third_party/benchmark' 2025-09-07T14:11:51.8967927Z http.https://github.com/.extraheader 2025-09-07T14:11:51.8998121Z Entering 'third_party/composable_kernel' 2025-09-07T14:11:51.9022290Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9061930Z Entering 'third_party/cpp-httplib' 2025-09-07T14:11:51.9086119Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9116180Z Entering 'third_party/cpuinfo' 2025-09-07T14:11:51.9140341Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9172329Z Entering 'third_party/cudnn_frontend' 2025-09-07T14:11:51.9196451Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9226975Z Entering 'third_party/cutlass' 2025-09-07T14:11:51.9251372Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9291585Z Entering 'third_party/fbgemm' 2025-09-07T14:11:51.9315400Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9348813Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T14:11:51.9371439Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9401712Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T14:11:51.9424755Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9462133Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T14:11:51.9485093Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9515247Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T14:11:51.9539129Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9577350Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T14:11:51.9600051Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9628729Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T14:11:51.9652101Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9681252Z Entering 'third_party/fbgemm/external/json' 2025-09-07T14:11:51.9704102Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9736081Z Entering 'third_party/flash-attention' 2025-09-07T14:11:51.9760516Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9791165Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T14:11:51.9814290Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9849071Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T14:11:51.9872246Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9910687Z Entering 'third_party/flatbuffers' 2025-09-07T14:11:51.9935042Z http.https://github.com/.extraheader 2025-09-07T14:11:51.9967304Z Entering 'third_party/fmt' 2025-09-07T14:11:51.9991338Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0022281Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T14:11:52.0046361Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0076657Z Entering 'third_party/gloo' 2025-09-07T14:11:52.0101374Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0131067Z Entering 'third_party/googletest' 2025-09-07T14:11:52.0155261Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0185353Z Entering 'third_party/ideep' 2025-09-07T14:11:52.0209463Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0238138Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T14:11:52.0261176Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0297949Z Entering 'third_party/ittapi' 2025-09-07T14:11:52.0321961Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0351826Z Entering 'third_party/kineto' 2025-09-07T14:11:52.0376288Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0405835Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T14:11:52.0429019Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0458379Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T14:11:52.0480689Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0511336Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T14:11:52.0535625Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0565627Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T14:11:52.0588103Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0618439Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T14:11:52.0641149Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0671442Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T14:11:52.0696027Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0728686Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T14:11:52.0751409Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0781656Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T14:11:52.0805031Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0834913Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T14:11:52.0858769Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0889233Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T14:11:52.0912313Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0944015Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T14:11:52.0966908Z http.https://github.com/.extraheader 2025-09-07T14:11:52.0996297Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T14:11:52.1019805Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1051789Z Entering 'third_party/kleidiai' 2025-09-07T14:11:52.1075493Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1105782Z Entering 'third_party/mimalloc' 2025-09-07T14:11:52.1129732Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1159618Z Entering 'third_party/nlohmann' 2025-09-07T14:11:52.1183479Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1214587Z Entering 'third_party/onnx' 2025-09-07T14:11:52.1238409Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1286013Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T14:11:52.1309444Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1342187Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T14:11:52.1366425Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1398182Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T14:11:52.1421096Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1450583Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T14:11:52.1473792Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1503624Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T14:11:52.1526307Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1556600Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T14:11:52.1579891Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1610187Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T14:11:52.1633609Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1662576Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T14:11:52.1685541Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1714253Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T14:11:52.1738184Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1766357Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T14:11:52.1788971Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1820765Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T14:11:52.1843276Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1874791Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T14:11:52.1898752Z http.https://github.com/.extraheader 2025-09-07T14:11:52.1949661Z Entering 'third_party/pocketfft' 2025-09-07T14:11:52.1973418Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2002532Z Entering 'third_party/protobuf' 2025-09-07T14:11:52.2027405Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2060851Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T14:11:52.2083141Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2113341Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T14:11:52.2136828Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2167650Z Entering 'third_party/psimd' 2025-09-07T14:11:52.2192517Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2222123Z Entering 'third_party/pthreadpool' 2025-09-07T14:11:52.2245963Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2275239Z Entering 'third_party/pybind11' 2025-09-07T14:11:52.2299506Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2329093Z Entering 'third_party/python-peachpy' 2025-09-07T14:11:52.2353024Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2382913Z Entering 'third_party/sleef' 2025-09-07T14:11:52.2406726Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2436937Z Entering 'third_party/tensorpipe' 2025-09-07T14:11:52.2461450Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2490539Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T14:11:52.2513356Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2542114Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T14:11:52.2564791Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2593320Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T14:11:52.2616058Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2645037Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T14:11:52.2668351Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2696437Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T14:11:52.2718567Z http.https://github.com/.extraheader 2025-09-07T14:11:52.2878650Z Post job cleanup. 2025-09-07T14:11:52.3831267Z [command]/usr/bin/git version 2025-09-07T14:11:52.3865875Z git version 2.51.0 2025-09-07T14:11:52.3903769Z Temporarily overriding HOME='/home/charlie/_work/_temp/63a11e8b-d995-4438-883a-6dc13a7c219c' before making global git config changes 2025-09-07T14:11:52.3904685Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T14:11:52.3908671Z [command]/usr/bin/git config --global --add safe.directory /home/charlie/_work/pytorch/pytorch 2025-09-07T14:11:52.3939674Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T14:11:52.3976292Z [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' || :" 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2025-09-07T14:11:52.7470732Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T14:11:52.7528502Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T14:11:52.7557996Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T14:11:52.7775517Z Entering 'android/libs/fbjni' 2025-09-07T14:11:52.7816250Z Entering 'third_party/FP16' 2025-09-07T14:11:52.7857843Z Entering 'third_party/FXdiv' 2025-09-07T14:11:52.7899006Z Entering 'third_party/NNPACK' 2025-09-07T14:11:52.7940848Z Entering 'third_party/NVTX' 2025-09-07T14:11:52.7983004Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:11:52.8024583Z Entering 'third_party/XNNPACK' 2025-09-07T14:11:52.8080319Z Entering 'third_party/aiter' 2025-09-07T14:11:52.8122504Z 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