2025-09-07T07:44:40.0830342Z Current runner version: '2.328.0' 2025-09-07T07:44:40.0836670Z Runner name: 'i-01a21955dc3821a00-1003' 2025-09-07T07:44:40.0837519Z Runner group name: 'default' 2025-09-07T07:44:40.0838540Z Machine name: '1df832b2c445' 2025-09-07T07:44:40.0841297Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:44:40.0843553Z Contents: read 2025-09-07T07:44:40.0844161Z Metadata: read 2025-09-07T07:44:40.0844724Z ##[endgroup] 2025-09-07T07:44:40.0847165Z Secret source: Actions 2025-09-07T07:44:40.0847923Z Prepare workflow directory 2025-09-07T07:44:40.1379683Z Prepare all required actions 2025-09-07T07:44:40.1420997Z Getting action download info 2025-09-07T07:44:40.5778545Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:44:42.0721581Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:45:16.0186905Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:45:16.7711224Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:45:18.0942151Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:45:18.4607876Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:45:19.8710693Z Getting action download info 2025-09-07T07:45:19.9868710Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:45:20.7359566Z Getting action download info 2025-09-07T07:45:20.8491413Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:45:21.4574147Z Getting action download info 2025-09-07T07:45:21.5863651Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:45:22.0878360Z Getting action download info 2025-09-07T07:45:22.2274326Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:45:22.2278654Z ##[group] Inputs 2025-09-07T07:45:22.2279083Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T07:45:22.2285369Z test-matrix: {"include": [{"config": "inductor_huggingface_perf", "shard": 1, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 2, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 3, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 4, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_huggingface_perf", "shard": 5, "num_shards": 5, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_timm_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 1, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 2, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 3, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 4, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 5, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "inductor_torchbench_perf", "shard": 6, "num_shards": 6, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 1, "num_shards": 2, "runner": "linux.aws.a100"}, {"config": "cachebench", "shard": 2, "num_shards": 2, "runner": "linux.aws.a100"}]} 2025-09-07T07:45:22.2292274Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:45:22.2293467Z sync-tag: 2025-09-07T07:45:22.2294345Z timeout-minutes: 1440 2025-09-07T07:45:22.2294618Z use-gha: 2025-09-07T07:45:22.2295862Z dashboard-tag: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T07:45:22.2297206Z s3-bucket: gha-artifacts 2025-09-07T07:45:22.2297487Z aws-role-to-assume: 2025-09-07T07:45:22.2298122Z disable-monitor: false 2025-09-07T07:45:22.2298456Z monitor-log-interval: 15 2025-09-07T07:45:22.2298753Z monitor-data-collect-interval: 4 2025-09-07T07:45:22.2299082Z ##[endgroup] 2025-09-07T07:45:22.2299529Z Complete job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T07:45:22.2925782Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:45:22.2926558Z with: 2025-09-07T07:45:22.2927102Z github-secret: *** 2025-09-07T07:45:22.2927848Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:45:22.2928654Z activate-with-label: false 2025-09-07T07:45:22.2928932Z label: with-ssh 2025-09-07T07:45:22.2929171Z remove-existing-keys: true 2025-09-07T07:45:22.2929453Z fail-silently: true 2025-09-07T07:45:22.2929926Z env: 2025-09-07T07:45:22.2930142Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:22.2930395Z ##[endgroup] 2025-09-07T07:45:22.4080524Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:45:22.4081510Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:45:22.4414690Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:45:22.4415137Z with: 2025-09-07T07:45:22.4415357Z no-sudo: true 2025-09-07T07:45:22.4415599Z submodules: recursive 2025-09-07T07:45:22.4415861Z fetch-depth: 0 2025-09-07T07:45:22.4416083Z env: 2025-09-07T07:45:22.4416302Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:22.4416565Z ##[endgroup] 2025-09-07T07:45:22.4723315Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:22.4724338Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:22.4742095Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:45:22.4742542Z env: 2025-09-07T07:45:22.4742769Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:22.4743047Z ##[endgroup] 2025-09-07T07:45:22.4956742Z ##[group]Run actions/checkout@v4 2025-09-07T07:45:22.4957054Z with: 2025-09-07T07:45:22.4957303Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:22.4957638Z fetch-depth: 0 2025-09-07T07:45:22.4957873Z submodules: recursive 2025-09-07T07:45:22.4958145Z show-progress: false 2025-09-07T07:45:22.4958417Z repository: pytorch/pytorch 2025-09-07T07:45:22.4958844Z token: *** 2025-09-07T07:45:22.4959073Z ssh-strict: true 2025-09-07T07:45:22.4959302Z ssh-user: git 2025-09-07T07:45:22.4959548Z persist-credentials: true 2025-09-07T07:45:22.4959828Z clean: true 2025-09-07T07:45:22.4960081Z sparse-checkout-cone-mode: true 2025-09-07T07:45:22.4960376Z fetch-tags: false 2025-09-07T07:45:22.4960619Z lfs: false 2025-09-07T07:45:22.4960853Z set-safe-directory: true 2025-09-07T07:45:22.4961328Z env: 2025-09-07T07:45:22.4961598Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:22.4961865Z ##[endgroup] 2025-09-07T07:45:22.6031061Z Syncing repository: pytorch/pytorch 2025-09-07T07:45:22.6032486Z ##[group]Getting Git version info 2025-09-07T07:45:22.6032935Z Working directory is '/home/charlie/_work/pytorch/pytorch' 2025-09-07T07:45:22.6033567Z [command]/usr/bin/git version 2025-09-07T07:45:22.6035298Z git version 2.51.0 2025-09-07T07:45:22.6061814Z ##[endgroup] 2025-09-07T07:45:22.6073761Z Temporarily overriding HOME='/home/charlie/_work/_temp/60931d56-af65-4b17-96a8-1ab00f8895a7' before making global git config changes 2025-09-07T07:45:22.6074699Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:45:22.6079130Z [command]/usr/bin/git config --global --add safe.directory /home/charlie/_work/pytorch/pytorch 2025-09-07T07:45:22.6182091Z Deleting the contents of '/home/charlie/_work/pytorch/pytorch' 2025-09-07T07:45:22.6185683Z ##[group]Initializing the repository 2025-09-07T07:45:22.6189138Z [command]/usr/bin/git init /home/charlie/_work/pytorch/pytorch 2025-09-07T07:45:22.6418467Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:45:22.6419111Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:45:22.6419689Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:45:22.6420127Z hint: 2025-09-07T07:45:22.6420443Z hint: git config --global init.defaultBranch 2025-09-07T07:45:22.6420803Z hint: 2025-09-07T07:45:22.6421149Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:45:22.6421739Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:45:22.6422192Z hint: 2025-09-07T07:45:22.6422417Z hint: git branch -m 2025-09-07T07:45:22.6422679Z hint: 2025-09-07T07:45:22.6423063Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T07:45:22.6423720Z Initialized empty Git repository in /home/charlie/_work/pytorch/pytorch/.git/ 2025-09-07T07:45:22.6429285Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:45:22.6571266Z ##[endgroup] 2025-09-07T07:45:22.6571743Z ##[group]Disabling automatic garbage collection 2025-09-07T07:45:22.6575171Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:45:22.6658034Z ##[endgroup] 2025-09-07T07:45:22.6658449Z ##[group]Setting up auth 2025-09-07T07:45:22.6664765Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:45:22.6691666Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:45:22.6901477Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:45:22.6926595Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:45:22.7124121Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:45:22.7838447Z ##[endgroup] 2025-09-07T07:45:22.7838924Z ##[group]Fetching the repository 2025-09-07T07:45:22.7845893Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:46:21.6251503Z From https://github.com/pytorch/pytorch 2025-09-07T07:46:21.6252150Z * [new branch] 160583 -> origin/160583 2025-09-07T07:46:21.6252767Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:46:21.6253671Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:46:21.7046358Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:46:21.7047513Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:46:21.7048532Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:46:21.7049539Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:46:21.7050411Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:46:21.7051083Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:46:21.7051819Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:46:21.7052522Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:46:21.7053304Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:46:21.7053993Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:46:21.7054684Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:46:21.7055350Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:46:21.7056037Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:46:21.7056821Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:46:21.7057595Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:46:21.7058302Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:46:21.7059004Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:46:21.7059681Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:46:21.7060242Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:46:21.7061179Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:46:21.7061826Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:46:21.7062424Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:46:21.7063019Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:46:21.7063667Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:46:21.7064309Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:46:21.7065092Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:46:21.7065794Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:46:21.7066445Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:46:21.7067090Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:46:21.7067791Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:46:21.7068445Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:46:21.7069142Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:46:21.7069896Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:46:21.7070552Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:46:21.7071219Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:46:21.7072166Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:46:21.7072960Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:46:21.7073679Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:46:21.7074332Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:46:21.7075020Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:46:21.7075756Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:46:21.7076431Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:46:21.7077065Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:46:21.7077697Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:46:21.7078370Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:46:21.7079011Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:46:21.7079656Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:46:21.7080326Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:46:21.7080945Z * [new branch] 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2025-09-07T07:46:21.8722895Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:46:21.8723381Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:46:21.8723549Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:46:21.8723808Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:46:21.8723996Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:46:21.8724177Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:46:21.8724363Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:46:21.8724542Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:46:21.8724718Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:46:21.8724900Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:46:21.8725088Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:46:21.8725272Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:46:21.8725454Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:46:21.8725701Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:46:21.8725939Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:46:21.8726175Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:46:21.8726390Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:46:21.8726598Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:46:21.8726815Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:46:21.8727103Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:46:21.8727320Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:46:21.8727526Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:46:21.8727756Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:46:21.8727964Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:46:21.8728162Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:46:21.8728364Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:46:21.8728558Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:46:21.8728754Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:46:21.8728958Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:46:21.8729158Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:46:21.8729360Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:46:21.8729557Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:46:21.8729759Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:46:21.8729952Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:46:21.8730145Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:46:21.8730310Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:46:21.8730471Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:46:21.8730635Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:46:21.8730869Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:46:21.8731027Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:46:21.8731438Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:46:21.8731777Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:46:21.8732042Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:46:21.8732291Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:46:21.8732552Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:46:21.8732764Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:46:21.8733110Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:46:21.8733324Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:46:21.8733531Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:46:21.8733746Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:46:21.8733951Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:46:21.8734150Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:46:21.8734334Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:46:21.8734518Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:46:21.8734806Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:46:21.8734993Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:46:21.8735182Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:46:21.8735361Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:46:21.8735543Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:46:21.8735735Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:46:21.8735916Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:46:21.8736105Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:46:21.8736288Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:46:21.8736484Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:46:21.8736668Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:46:21.8736851Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:46:21.8737041Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:46:21.8737220Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:46:21.8737411Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:46:21.8737591Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:46:21.8737772Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:46:21.8737964Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:46:21.8738146Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:46:21.8738443Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:46:21.8738629Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:46:21.8738820Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:46:21.8739000Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:46:21.8739182Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:46:21.8739372Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:46:21.8739553Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:46:21.8739745Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:46:21.8739929Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:46:21.8740124Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:46:21.8740304Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:46:21.8740488Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:46:21.8740676Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:46:21.8740940Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:46:21.8741223Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:46:21.8741501Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:46:21.8741788Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:46:21.8742210Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:46:21.8742498Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:46:21.8742806Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:46:21.8743097Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:46:21.8743392Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:46:21.8743674Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:46:21.8743969Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:46:21.8744264Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:46:21.8744548Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:46:21.8744906Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:46:21.8745193Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:46:21.8745480Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:46:21.8745771Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:46:21.8746064Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:46:21.8746283Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:46:21.8746464Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:46:21.8746656Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:46:21.8746834Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:46:21.8747020Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:46:21.8747207Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:46:21.8747492Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:46:21.8747684Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:46:21.8747862Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:46:21.8748041Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:46:21.8748227Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:46:21.8748410Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:46:21.8748598Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:46:21.8748779Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:46:21.8748971Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:46:21.8749154Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:46:21.8749333Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:46:21.8749521Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:46:21.8749701Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:46:21.8749887Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:46:21.8750067Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:46:21.8750247Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:46:21.8750435Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:46:21.8750710Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:46:21.8750907Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:46:21.8751090Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:46:21.8751281Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:46:21.8751463Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:46:21.8751643Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:46:21.8751836Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:46:21.8752019Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:46:21.8752212Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:46:21.8752396Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:46:21.8752580Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:46:21.8752775Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:46:21.8752955Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:46:21.8753142Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:46:21.8753325Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:46:21.8753513Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:46:21.8753693Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:46:21.8753874Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:46:21.8754066Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:46:21.8754334Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:46:21.8754524Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:46:21.8754707Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:46:21.8754888Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:46:21.8755075Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:46:21.8755258Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:46:21.8755446Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:46:21.8755630Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:46:21.8755826Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:46:21.8756006Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:46:21.8756193Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:46:21.8756379Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:46:21.8756562Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:46:21.8756749Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:46:21.8756930Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:46:21.8757116Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:46:21.8757300Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:46:21.8757575Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:46:21.8757766Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:46:21.8757951Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:46:21.8758140Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:46:21.8758321Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:46:21.8758506Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:46:21.8758693Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:46:21.8758874Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:46:21.8759062Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:46:21.8759247Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:46:21.8759432Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:46:21.8759616Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:46:21.8759799Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:46:21.8759985Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:46:21.8760167Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:46:21.8760356Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:46:21.8760536Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:46:21.8760716Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:46:21.8760903Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:46:21.8761085Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:46:21.8761356Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:46:21.8761541Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:46:21.8761729Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:46:21.8761908Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:46:21.8762088Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:46:21.8762271Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:46:21.8762453Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:46:21.8762641Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:46:21.8762827Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:46:21.8763012Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:46:21.8763201Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:46:21.8763383Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:46:21.8763570Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:46:21.8763748Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:46:21.8763935Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:46:21.8764115Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:46:21.8764295Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:46:21.8764584Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:46:21.8764769Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:46:21.8764958Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:46:21.8765138Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:46:21.8765319Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:46:21.8765505Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:46:21.8765685Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:46:21.8765875Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:46:21.8766057Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:46:21.8766248Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:46:21.8766433Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:46:21.8766614Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:46:21.8766798Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:46:21.8766981Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:46:21.8767171Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:46:21.8767351Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:46:21.8767534Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:46:21.8767722Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:46:21.8767905Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:46:21.8768095Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:46:21.8768358Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:46:21.8768552Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:46:21.8768732Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:46:21.8768914Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:46:21.8769098Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:46:21.8769279Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:46:21.8769467Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:46:21.8769653Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:46:21.8769838Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:46:21.8770031Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:46:21.8770213Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:46:21.8770403Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:46:21.8770586Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:46:21.8770781Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:46:21.8770961Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:46:21.8771147Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:46:21.8771418Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:46:21.8771602Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:46:21.8771802Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:46:21.8771993Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:46:21.8772184Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:46:21.8772400Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:46:21.8772605Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:46:21.8772958Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:46:21.8773132Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:46:21.8773307Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:46:21.8773471Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:46:21.8773635Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:46:21.8773804Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:46:21.8773966Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:46:21.8774150Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:46:21.8774332Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:46:21.8774538Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:46:21.8774814Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:46:21.8775079Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:46:21.8775278Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:46:21.8775556Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:46:21.8775747Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:46:21.8775931Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:46:21.8776114Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:46:21.8776312Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:46:21.8776504Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:46:21.8776687Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:46:21.8776877Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:46:21.8777101Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:46:21.8777335Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:46:21.8777564Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:46:21.8777794Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:46:21.8778013Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:46:21.8778262Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:46:21.8778471Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:46:21.8778655Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:46:21.8778941Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:46:21.8779123Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:46:21.8779314Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:46:21.8779497Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:46:21.8779685Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:46:21.8779866Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:46:21.8780044Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:46:21.8780233Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:46:21.8780415Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:46:21.8780606Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:46:21.8780789Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:46:21.8780972Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:46:21.8781162Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:46:21.8781325Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:46:21.8781491Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:46:21.8781652Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:46:21.8781818Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:46:21.8781976Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:46:21.8782137Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:46:21.8782305Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:46:21.8782543Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:46:21.8782712Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:46:21.8782872Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:46:21.8783034Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:46:21.8783200Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:46:21.8783360Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:46:21.8783522Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:46:21.8783683Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:46:21.8783853Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:46:21.8784022Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:46:21.8784190Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:46:21.8784793Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:46:21.8784969Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:46:21.8785136Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:46:21.8785303Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:46:21.8785473Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:46:21.8785648Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:46:21.8785904Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:46:21.8786079Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:46:21.8786244Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:46:21.8786417Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:46:21.8786582Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:46:21.8787073Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:46:21.8787249Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:46:21.8787415Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:46:21.8787593Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:46:21.8787762Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:46:21.8787943Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:46:21.8788459Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:46:21.8788687Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:46:21.8788862Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:46:21.8789029Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:46:21.8789200Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:46:21.8789367Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:46:21.8789536Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:46:21.8789706Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:46:21.8789946Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:46:21.8790122Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:46:21.8790283Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:46:21.8790455Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:46:21.8790618Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:46:21.8790780Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:46:21.8790950Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:46:21.8791114Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:46:21.8791288Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:46:21.8791463Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:46:21.8791627Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:46:21.8791799Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:46:21.8791964Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:46:21.8792135Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:46:21.8792300Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:46:21.8792475Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:46:21.8792640Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:46:21.8792904Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:46:21.8793075Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:46:21.8793245Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:46:21.8793418Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:46:21.8793584Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:46:21.8793748Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:46:21.8793918Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:46:21.8794086Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:46:21.8794259Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:46:21.8794425Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:46:21.8794599Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:46:21.8794765Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:46:21.8794930Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:46:21.8795097Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:46:21.8795260Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:46:21.8795431Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:46:21.8795597Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:46:21.8795762Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:46:21.8795934Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:46:21.8796103Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:46:21.8796353Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:46:21.8796519Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:46:21.8796680Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:46:21.8796851Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:46:21.8797016Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:46:21.8797185Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:46:21.8797351Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:46:21.8797517Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:46:21.8797685Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:46:21.8797849Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:46:21.8798021Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:46:21.8798182Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:46:21.8798355Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:46:21.8798519Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:46:21.8798681Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:46:21.8798852Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:46:21.8799016Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:46:21.8799187Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:46:21.8799435Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:46:21.8799609Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:46:21.8799773Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:46:21.8799936Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:46:21.8800105Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:46:21.8800269Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:46:21.8800435Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:46:21.8800609Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:46:21.8800771Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:46:21.8800943Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:46:21.8801109Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:46:21.8801281Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:46:21.8801447Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:46:21.8801615Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:46:21.8801780Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:46:21.8801946Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:46:21.8802121Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:46:21.8802284Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:46:21.8802458Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:46:21.8802621Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:46:21.8802868Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:46:21.8803039Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:46:21.8803203Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:46:21.8803373Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:46:21.8803537Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:46:21.8803712Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:46:21.8803873Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:46:21.8804037Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:46:21.8804209Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:46:21.8804375Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:46:21.8804544Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:46:21.8804706Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:46:21.8804871Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:46:21.8805043Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:46:21.8805203Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:46:21.8805374Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:46:21.8805534Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:46:21.8805789Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:46:21.8805952Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:46:21.8806119Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:46:21.8806288Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:46:21.8806454Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:46:21.8806626Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:46:21.8806789Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:46:21.8806955Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:46:21.8807126Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:46:21.8807290Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:46:21.8807465Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:46:21.8807631Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:46:21.8807803Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:46:21.8807968Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:46:21.8808135Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:46:21.8808307Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:46:21.8808471Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:46:21.8808637Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:46:21.8808820Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:46:21.8809009Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:46:21.8809256Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:46:21.8809418Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:46:21.8809583Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:46:21.8809741Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:46:21.8809907Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:46:21.8810064Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:46:21.8810224Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:46:21.8810388Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:46:21.8810551Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:46:21.8810715Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:46:21.8810875Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:46:21.8811035Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:46:21.8811196Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:46:21.8811354Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:46:21.8811521Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:46:21.8811680Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:46:21.8811826Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:46:21.8811971Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:46:21.8812193Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:46:21.8812336Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:46:21.8812478Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:46:21.8812621Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:46:21.8812755Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:46:21.8813042Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:46:21.8813188Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:46:21.8813328Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:46:21.8813475Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:46:21.8813613Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:46:21.8813749Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:46:21.8813895Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:46:21.8814036Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:46:21.8814179Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:46:21.8814321Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:46:21.8814460Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:46:21.8814607Z * [new tag] flight_5 -> flight_5 2025-09-07T07:46:21.8814750Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:46:21.8814891Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:46:21.8815031Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:46:21.8815174Z * [new tag] forpull1 -> forpull1 2025-09-07T07:46:21.8815344Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:46:21.8815629Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:46:21.8815800Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:46:21.8815963Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:46:21.8816142Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:46:21.8816301Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:46:21.8816678Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:46:21.8817079Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:46:21.8817466Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:46:21.8817882Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:46:21.8818264Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:46:21.8818656Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:46:21.8819026Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:46:21.8819419Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:46:21.8819796Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:46:21.8820274Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:46:21.8820669Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:46:21.8821046Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:46:21.8821442Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:46:21.8821824Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:46:21.8822222Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:46:21.8822614Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:46:21.8823015Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:46:21.8823406Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:46:21.8823785Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:46:21.8824190Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:46:21.8824566Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:46:21.8825047Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:46:21.8825438Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:46:21.8825930Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:46:21.8826316Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:46:21.8826693Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:46:21.8827085Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:46:21.8827473Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:46:21.8827860Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:46:21.8828254Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:46:21.8828656Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:46:21.8829038Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:46:21.8829436Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:46:21.8829825Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:46:21.8830217Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:46:21.8830607Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:46:21.8831148Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:46:21.8831538Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:46:21.8831911Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:46:21.8832305Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:46:21.8832686Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:46:21.8833073Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:46:21.8833474Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:46:21.8833857Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:46:21.8834241Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:46:21.8834615Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:46:21.8835011Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:46:21.8835380Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:46:21.8835769Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:46:21.8836160Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:46:21.8836625Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:46:21.8837009Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:46:21.8837394Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:46:21.8837783Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:46:21.8838173Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:46:21.8838565Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:46:21.8838957Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:46:21.8839336Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:46:21.8839716Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:46:21.8840096Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:46:21.8840495Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:46:21.8840878Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:46:21.8841342Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:46:21.8841722Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:46:21.8842110Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:46:21.8842507Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:46:21.8842894Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:46:21.8843293Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:46:21.8843685Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:46:21.8844079Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:46:21.8844464Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:46:21.8844854Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:46:21.8845232Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:46:21.8845611Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:46:21.8846000Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:46:21.8846376Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:46:21.8846851Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:46:21.8847237Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:46:21.8847643Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:46:21.8848041Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:46:21.8848431Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:46:21.8848820Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:46:21.8849205Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:46:21.8849599Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:46:21.8849994Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:46:21.8850373Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:46:21.8850753Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:46:21.8851131Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:46:21.8851600Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:46:21.8852004Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:46:21.8852397Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:46:21.8852944Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:46:21.8853340Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:46:21.8853722Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:46:21.8854272Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:46:21.8854668Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:46:21.8855071Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:46:21.8855451Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:46:21.8855842Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:46:21.8856237Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:46:21.8856635Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:46:21.8857019Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:46:21.8857535Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:46:21.8857920Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:46:21.8858303Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:46:21.8858702Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:46:21.8859077Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:46:21.8859455Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:46:21.8859849Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:46:21.8860233Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:46:21.8860625Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:46:21.8861006Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:46:21.8861406Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:46:21.8861781Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:46:21.8862178Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:46:21.8862642Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:46:21.8863019Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:46:21.8863399Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:46:21.8863792Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:46:21.8864187Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:46:21.8864573Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:46:21.8865027Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:46:21.8865410Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:46:21.8865775Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:46:21.8866166Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:46:21.8872005Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:46:21.8872423Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:46:21.8872825Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:46:21.8873226Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:46:21.8873802Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:46:21.8874194Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:46:21.8874579Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:46:21.8874973Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:46:21.8875355Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:46:21.8875743Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:46:21.8876130Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:46:21.8876518Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:46:21.8876899Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:46:21.8877282Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:46:21.8877675Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:46:21.8878065Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:46:21.8878557Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:46:21.8878935Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:46:21.8879326Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:46:21.8879706Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:46:21.8880093Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:46:21.8880475Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:21.8880867Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:46:21.8881264Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:46:21.8881651Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:46:21.8882035Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:46:21.8882418Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:46:21.8882805Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:46:21.8883190Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:46:21.8883593Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:46:21.8884053Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:46:21.8884444Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:46:21.8884834Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:46:21.8885214Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:46:21.8885595Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:46:21.8885993Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:46:21.8886387Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:46:21.8886773Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:46:21.8887152Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:46:21.8887548Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:46:21.8887937Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:46:21.8888330Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:46:21.8888704Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:46:21.8889179Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:46:21.8889556Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:46:21.8889946Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:46:21.8890325Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:46:21.8890707Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:46:21.8891113Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:46:21.8891499Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:46:21.8891897Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:46:21.8892283Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:46:21.8892686Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:46:21.8893242Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:46:21.8893645Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:46:21.8894033Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:46:21.8894432Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:46:21.8894945Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:46:21.8895333Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:46:21.8895717Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:46:21.8896110Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:46:21.8896500Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:46:21.8896876Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:46:21.8897280Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:46:21.8897665Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:46:21.8898059Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:46:21.8898448Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:46:21.8898824Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:46:21.8899216Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:46:21.8899727Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:46:21.8900124Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:46:21.8900512Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:46:21.8900887Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:46:21.8901280Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:46:21.8901671Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:46:21.8902055Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:46:21.8902460Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:46:21.8902869Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:46:21.8903246Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:46:21.8903636Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:46:21.8904034Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:46:21.8904427Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:46:21.8904926Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:46:21.8905398Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:46:21.8905798Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:46:21.8906189Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:46:21.8906578Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:46:21.8906951Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:46:21.8907330Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:46:21.8907728Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:46:21.8908122Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:46:21.8908506Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:46:21.8908889Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:46:21.8909271Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:46:21.8909675Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:46:21.8910067Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:46:21.8910537Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:46:21.8910933Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:46:21.8911315Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:46:21.8911694Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:46:21.8912084Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:46:21.8912457Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:46:21.8912864Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:46:21.8913251Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:46:21.8913642Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:46:21.8914025Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:46:21.8914416Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:46:21.8914791Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:46:21.8915170Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:46:21.8915562Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:46:21.8916014Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:46:21.8916398Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:46:21.8916790Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:46:21.8917176Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:46:21.8917568Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:46:21.8917965Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:46:21.8918371Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:46:21.8918757Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:46:21.8919144Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:46:21.8919528Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:46:21.8919933Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:46:21.8920309Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:46:21.8920779Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:46:21.8921168Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:46:21.8921550Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:46:21.8921936Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:46:21.8922321Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:46:21.8922717Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:46:21.8923089Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:46:21.8923474Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:46:21.8923864Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:46:21.8924267Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:46:21.8924657Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:46:21.8925046Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:46:21.8925446Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:46:21.8925836Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:46:21.8926297Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:46:21.8926678Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:46:21.8927065Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:46:21.8927454Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:46:21.8927848Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:46:21.8928233Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:46:21.8928621Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:46:21.8929016Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:46:21.8929394Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:46:21.8929803Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:46:21.8930187Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:46:21.8930581Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:46:21.8931044Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:46:21.8931179Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:46:21.8931323Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:46:21.8931453Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:46:21.8931591Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:46:21.8931720Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:46:21.8931850Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:46:21.8931991Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:46:21.8932115Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:46:21.8932253Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:46:21.8932384Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:46:21.8932513Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:46:21.8932651Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:46:21.8932913Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:46:21.8933052Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:46:21.8933181Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:46:21.8933319Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:46:21.8933449Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:46:21.8933578Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:46:21.8933725Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:46:21.8933858Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:46:21.8934002Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:46:21.8934135Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:46:21.8934370Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:46:21.8934516Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:46:21.8934647Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:46:21.8934801Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:46:21.8934943Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:46:21.8935086Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:46:21.8935224Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:46:21.8935363Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:46:21.8935509Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:46:21.8935648Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:46:21.8935784Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:46:21.8935930Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:46:21.8936069Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:46:21.8936214Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:46:21.8936349Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:46:21.8936500Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:46:21.8936635Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:46:21.8936779Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:46:21.8936918Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:46:21.8937165Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:46:21.8937314Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:46:21.8937452Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:46:21.8937595Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:46:21.8937748Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:46:21.8937886Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:46:21.8938031Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:46:21.8938168Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:46:21.8938299Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:46:21.8938452Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:46:21.8938596Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:46:21.8938744Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:46:21.8938882Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:46:21.8939033Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:46:21.8939164Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:46:21.8939300Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:46:21.8939446Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:46:21.8939581Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:46:21.8939725Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:46:21.8939864Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:46:21.8940003Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:46:21.8940142Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:46:21.8940355Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:46:21.8940497Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:46:21.8940629Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:46:21.8940758Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:46:21.8940898Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:46:21.8941027Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:46:21.8941160Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:46:21.8941295Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:46:21.8941429Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:46:21.8941558Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:46:21.8941700Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:46:21.8941845Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:46:21.8941983Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:46:21.8942124Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:46:21.8942263Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:46:21.8942397Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:46:21.8942540Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:46:21.8942670Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:46:21.8942812Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:46:21.8943032Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:46:21.8943170Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:46:21.8943317Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:46:21.8943454Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:46:21.8943599Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:46:21.8943736Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:46:21.8943874Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:46:21.8944009Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:46:21.8944145Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:46:21.8944286Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:46:21.8944425Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:46:21.8944561Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:46:21.8944702Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:46:21.8944933Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:46:21.8945078Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:46:21.8945209Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:46:21.8945352Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:46:21.8945490Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:46:21.8945629Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:46:21.8945769Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:46:21.8945907Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:46:21.8946050Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:46:21.8946277Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:46:21.8946426Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:46:21.8946562Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:46:21.8946694Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:46:21.8946837Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:46:21.8946968Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:46:21.8947112Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:46:21.8947251Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:46:21.8947390Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:46:21.8947535Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:46:21.8947666Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:46:21.8947813Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:46:21.8947953Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:46:21.8948083Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:46:21.8948224Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:46:21.8948363Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:46:21.8948506Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:46:21.8948644Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:46:21.8948787Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:46:21.8949008Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:46:21.8949141Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:46:21.8949286Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:46:21.8949424Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:46:21.8949565Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:46:21.8949703Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:46:21.8949833Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:46:21.8949979Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:46:21.8950117Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:46:21.8950259Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:46:21.8950397Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:46:21.8950538Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:46:21.8950685Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:46:21.8950817Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:46:21.8950955Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:46:21.8951093Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:46:21.8951227Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:46:21.8951369Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:46:21.8951507Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:46:21.8951652Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:46:21.8951784Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:46:21.8951927Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:46:21.8952067Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:46:21.8952279Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:46:21.8952418Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:46:21.8952553Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:46:21.8952698Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:46:21.8952837Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:46:21.8952971Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:46:21.8953117Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:46:21.8953253Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:46:21.8953400Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:46:21.8953537Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:46:21.8953666Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:46:21.8953809Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:46:21.8953945Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:46:21.8954088Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:46:21.8954219Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:46:21.8954361Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:46:21.8954499Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:46:21.8954630Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:46:21.8954849Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:46:21.8954986Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:46:21.8955139Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:46:21.8955280Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:46:21.8955416Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:46:21.8955564Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:46:21.8955701Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:46:21.8955844Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:46:21.8955981Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:46:21.8956116Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:46:21.8956264Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:46:21.8956401Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:46:21.8956548Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:46:21.8956680Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:46:21.8956822Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:46:21.8956960Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:46:21.8957092Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:46:21.8957229Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:46:21.8957364Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:46:21.8957507Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:46:21.8957645Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:46:21.8957783Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:46:21.8957924Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:46:21.8958170Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:46:21.8958319Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:46:21.8958456Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:46:21.8958591Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:46:21.8958731Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:46:21.8958868Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:46:21.8959016Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:46:21.8959154Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:46:21.8959291Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:46:21.8959429Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:46:21.8959574Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:46:21.8959717Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:46:21.8959850Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:46:21.8959995Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:46:21.8960132Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:46:21.8960265Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:46:21.8960413Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:46:21.8960547Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:46:21.8960691Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:46:21.8960900Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:46:21.8961037Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:46:21.8961179Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:46:21.8961312Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:46:21.8961459Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:46:21.8961595Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:46:21.8961742Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:46:21.8961877Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:46:21.8962011Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:46:21.8962157Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:46:21.8962296Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:46:21.8962442Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:46:21.8962572Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:46:21.8962707Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:46:21.8962857Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:46:21.8962994Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:46:21.8963141Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:46:21.8963273Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:46:21.8963411Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:46:21.8963554Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:46:21.8963691Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:46:21.8963839Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:46:21.8964051Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:46:21.8964191Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:46:21.8964325Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:46:21.8964459Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:46:21.8964599Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:46:21.8964732Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:46:21.8964877Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:46:21.8965005Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:46:21.8965148Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:46:21.8965291Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:46:21.8965428Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:46:21.8965575Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:46:21.8965710Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:46:21.8965845Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:46:21.8965988Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:46:21.8966122Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:46:21.8966281Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:46:21.8966427Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:46:21.8966579Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:46:23.0290541Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:46:23.0315378Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:23.0319005Z ##[endgroup] 2025-09-07T07:46:23.0319423Z ##[group]Determining the checkout info 2025-09-07T07:46:23.0320245Z ##[endgroup] 2025-09-07T07:46:23.0323996Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:46:23.1020299Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:46:23.1256128Z ##[group]Checking out the ref 2025-09-07T07:46:23.1259685Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:24.1593757Z Updating files: 92% (17873/19405) 2025-09-07T07:46:24.1764233Z Updating files: 93% (18047/19405) 2025-09-07T07:46:24.1954027Z Updating files: 94% (18241/19405) 2025-09-07T07:46:24.6591435Z Updating files: 95% (18435/19405) 2025-09-07T07:46:24.6734350Z Updating files: 96% (18629/19405) 2025-09-07T07:46:24.6900836Z Updating files: 97% (18823/19405) 2025-09-07T07:46:24.7154138Z Updating files: 98% (19017/19405) 2025-09-07T07:46:24.7406091Z Updating files: 99% (19211/19405) 2025-09-07T07:46:24.7406424Z Updating files: 100% (19405/19405) 2025-09-07T07:46:24.7406744Z Updating files: 100% (19405/19405), done. 2025-09-07T07:46:24.8394269Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:46:24.8394618Z 2025-09-07T07:46:24.8394864Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:46:24.8395443Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:46:24.8396015Z state without impacting any branches by switching back to a branch. 2025-09-07T07:46:24.8396361Z 2025-09-07T07:46:24.8396572Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:46:24.8397097Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:46:24.8397408Z 2025-09-07T07:46:24.8397535Z git switch -c 2025-09-07T07:46:24.8397736Z 2025-09-07T07:46:24.8397845Z Or undo this operation with: 2025-09-07T07:46:24.8398047Z 2025-09-07T07:46:24.8398424Z git switch - 2025-09-07T07:46:24.8398580Z 2025-09-07T07:46:24.8398821Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:46:24.8399179Z 2025-09-07T07:46:24.8399374Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:46:24.8508243Z ##[endgroup] 2025-09-07T07:46:24.8508681Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:46:24.8514001Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:46:24.9297280Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:46:24.9325197Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:46:24.9538378Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:46:24.9806111Z ##[endgroup] 2025-09-07T07:46:24.9806575Z ##[group]Fetching submodules 2025-09-07T07:46:24.9809149Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:46:25.0057155Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:46:25.0541426Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:46:25.1057308Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:46:25.1601168Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:46:25.1959970Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:46:25.2409275Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:46:25.2923127Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:46:25.3246663Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:46:25.3639773Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:46:25.4260578Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:46:25.4557793Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:46:25.4926953Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:46:25.5413411Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:46:25.5984188Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:46:25.6318439Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:46:25.6623345Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:46:25.7172010Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:46:25.7632494Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:46:25.8059590Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:46:25.8465255Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:46:25.9019924Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:46:25.9414788Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:46:25.9877805Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:46:26.0436079Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:46:26.0927047Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:46:26.1533484Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:46:26.1920290Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:46:26.2487593Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:46:26.2909357Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:46:26.3447122Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:46:26.3887259Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:46:26.4412330Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:46:26.4851559Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:46:26.5269436Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:46:26.5801874Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:46:26.6151834Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:46:26.6741505Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:46:26.7554707Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:46:26.7584034Z Cloning into '/home/charlie/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:46:29.1954353Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:46:31.1944421Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:46:33.1786752Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:46:35.5002279Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:46:38.0342963Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:46:40.0159935Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:46:57.6849962Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:47:02.0610775Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:47:02.6068076Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:47:08.8741693Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:47:10.5618817Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:47:13.1954653Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:47:16.4386254Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:47:21.9528800Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:47:24.8492282Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:47:26.2577996Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:47:29.5621479Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:47:31.8554408Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:47:32.4471219Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:47:32.9395480Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:47:33.9960407Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:47:34.4929086Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:47:35.0515165Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:47:36.3969798Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:47:37.0165754Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:47:38.0599590Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:47:45.1609489Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:47:48.8016177Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:48:00.0956607Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:48:00.4907296Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:48:10.3238225Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:48:11.4495735Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:48:12.2467065Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:48:13.2481467Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:48:14.3945338Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:48:15.5679613Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:48:16.1211332Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:48:16.1341347Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:48:16.1441618Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:48:16.1689386Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:48:16.2602829Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:48:16.3262028Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:48:17.0744357Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:48:17.2381328Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:48:17.2410831Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:17.2437336Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:48:21.0137029Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:48:21.0436022Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:48:21.4136078Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:48:21.5140850Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:48:21.7842839Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:48:22.0625461Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:48:23.8082159Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:48:24.4287226Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:48:24.5270037Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:24.6464282Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:24.7031720Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:24.8503745Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:24.9146936Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:24.9802398Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:25.0580850Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:48:25.0610108Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:48:27.0320934Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:48:28.1970242Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:48:28.9146883Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:48:31.0131058Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:48:32.0780148Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:48:32.5154657Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:48:40.2949302Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:48:40.7163652Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:48:40.8639412Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:48:42.1920948Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:48:42.3878367Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:42.4920746Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:48:42.8551925Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:48:43.1527907Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:48:43.2615958Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:43.3703113Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:43.3728794Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:48:47.1820879Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:48:51.4956059Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:48:52.0886335Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:48:52.3570746Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:48:52.4085461Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:48:52.4775293Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:48:52.5362000Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:48:52.5943571Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:52.6282201Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:48:52.6560632Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:52.6587669Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:49:12.1467118Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:49:12.1938290Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:49:12.6011720Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:49:12.6327478Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:12.6759275Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:12.7190634Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:12.7218926Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:49:14.3991281Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:49:17.9222077Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:49:20.4679774Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:49:20.4878949Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:20.5036342Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:20.5280834Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:20.5548608Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:20.5739792Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:20.6058828Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:20.6338327Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:20.6565390Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:20.6596455Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:49:23.0093251Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:49:24.5441368Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:49:27.0768699Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:49:28.1846571Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:49:29.7466795Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:49:31.4077415Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:49:45.6774195Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:49:47.1130565Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:49:47.1791254Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:49:47.2514467Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:49:47.3073280Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:49:47.4700809Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:47.4726126Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:49:48.7819574Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:49:48.8282932Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:49:48.8936313Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:49:49.0237918Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:49:49.0603542Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:49:49.1239806Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:49:49.5058218Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:49:49.7891647Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:49:49.8728616Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:49:50.0290426Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:49:51.0765983Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:49:51.1079166Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:51.1107369Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:49:54.4504784Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:49:54.5401007Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:49:54.5632980Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:49:54.6077240Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:49:54.6349486Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:49:54.6711419Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:49:54.7070959Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:49:54.8380638Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:49:54.8422954Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:49:54.8696262Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:49:54.8725311Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:49:55.8356701Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:49:58.3346529Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:49:59.3535812Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:50:17.0184188Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:50:19.4196123Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:50:21.4611980Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:50:23.0194037Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:50:36.3319533Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:50:36.3998161Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:50:36.4479264Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:50:36.5725702Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:50:36.6175865Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:50:36.6624242Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:50:36.7069969Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:50:36.7416153Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:50:36.7862869Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:50:36.7893259Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:50:40.4206846Z Cloning into '/home/charlie/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:50:44.4073784Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:50:44.5004672Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:50:45.3086074Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:50:45.3461752Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:50:46.0552058Z Submodule path 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file:/home/charlie/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:51:02.7596281Z Entering 'third_party/FP16' 2025-09-07T07:51:02.7749275Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:51:02.7769619Z Entering 'third_party/FXdiv' 2025-09-07T07:51:02.7978863Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:51:02.7997930Z Entering 'third_party/NNPACK' 2025-09-07T07:51:02.9449909Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:51:02.9469743Z Entering 'third_party/NVTX' 2025-09-07T07:51:02.9586406Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:51:02.9607207Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:02.9761850Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:51:02.9781683Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:02.9955546Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:51:02.9991803Z Entering 'third_party/aiter' 2025-09-07T07:51:03.0173276Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:51:03.0192485Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:03.0415059Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:51:03.0445150Z Entering 'third_party/benchmark' 2025-09-07T07:51:03.0573954Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:03.0594412Z Entering 'third_party/composable_kernel' 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file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:51:03.1667182Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:03.1866683Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:51:03.1885123Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:03.2055170Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:51:03.2081185Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:03.3377138Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:51:03.3396484Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:03.3610065Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:51:03.3637858Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:03.4322299Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:51:03.4340297Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:03.5638623Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:51:03.5656365Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:03.5875253Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:51:03.5897622Z Entering 'third_party/flash-attention' 2025-09-07T07:51:03.6133563Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:51:03.6153544Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:03.6357809Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:51:03.6384930Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:03.6615422Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:51:03.6645072Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:03.6780179Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:51:03.6802358Z Entering 'third_party/fmt' 2025-09-07T07:51:03.6973636Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 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2025-09-07T07:51:03.8077381Z Entering 'third_party/ittapi' 2025-09-07T07:51:03.8240494Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:51:03.8259857Z Entering 'third_party/kineto' 2025-09-07T07:51:03.8454697Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:51:03.8473985Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:03.8670116Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:51:03.8689097Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:03.8914962Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:51:03.8934169Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:03.9056368Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:51:03.9074563Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:03.9266001Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:51:03.9285127Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:03.9426883Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:51:03.9450219Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:03.9600857Z 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 2025-09-07T07:51:03.9621688Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:03.9722751Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:51:03.9741702Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:03.9912275Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:03.9930598Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:04.0152311Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:51:04.0171345Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:04.0440526Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:51:04.0461873Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:04.0599265Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:51:04.0617430Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:04.0853445Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:51:04.0873969Z Entering 'third_party/kleidiai' 2025-09-07T07:51:04.1044311Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:51:04.1064444Z Entering 'third_party/mimalloc' 2025-09-07T07:51:04.1193558Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:51:04.1213196Z Entering 'third_party/nlohmann' 2025-09-07T07:51:04.1415712Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:51:04.1436841Z Entering 'third_party/onnx' 2025-09-07T07:51:04.1624743Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:51:04.1662660Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:04.1857694Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:51:04.1878188Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:04.2142924Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:51:04.2163924Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:04.4002952Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:04.4022730Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:04.5694695Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:04.5713568Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:04.6750424Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:51:04.6768477Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:04.7046935Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:51:04.7066213Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:04.7915816Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:51:04.7933958Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:04.9094540Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:51:04.9113247Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:04.9219893Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:51:04.9237734Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:04.9450379Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:51:04.9469209Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:04.9650465Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:51:04.9670680Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:04.9809420Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:51:04.9849325Z Entering 'third_party/pocketfft' 2025-09-07T07:51:05.0004466Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:51:05.0023644Z Entering 'third_party/protobuf' 2025-09-07T07:51:05.0175808Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:51:05.0196779Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:05.0431539Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:05.0449623Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:05.0573727Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:05.0594014Z Entering 'third_party/psimd' 2025-09-07T07:51:05.0790342Z 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'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:12.8760130Z http.https://github.com/.extraheader 2025-09-07T07:51:12.8826281Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:12.8851042Z http.https://github.com/.extraheader 2025-09-07T07:51:12.8953517Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:12.8979472Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9055559Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:12.9081513Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9183794Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:12.9206865Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9285749Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:12.9311841Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9417676Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:12.9443536Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9585652Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:12.9611362Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9737449Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:12.9762666Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9854940Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:12.9880061Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0006510Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:13.0031311Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0129208Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:13.0153847Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0296285Z Entering 'third_party/kleidiai' 2025-09-07T07:51:13.0321868Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0439042Z Entering 'third_party/mimalloc' 2025-09-07T07:51:13.0465203Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0568632Z Entering 'third_party/nlohmann' 2025-09-07T07:51:13.0595084Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0748917Z Entering 'third_party/onnx' 2025-09-07T07:51:13.0774595Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0839036Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:13.0863055Z http.https://github.com/.extraheader 2025-09-07T07:51:13.2347515Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:13.2373966Z http.https://github.com/.extraheader 2025-09-07T07:51:13.2523553Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:13.2548972Z http.https://github.com/.extraheader 2025-09-07T07:51:13.2631186Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:13.2656615Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3002527Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:13.3026701Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3074197Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:13.3098000Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3213363Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:13.3238568Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3461571Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:13.3486661Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3577356Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:13.3600961Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3809372Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:13.3832734Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4124099Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:13.4148335Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4354819Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:13.4378882Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4575218Z Entering 'third_party/pocketfft' 2025-09-07T07:51:13.4601509Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4798770Z Entering 'third_party/protobuf' 2025-09-07T07:51:13.4824729Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4912256Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:13.4936224Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5028909Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:13.5054319Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5135470Z Entering 'third_party/psimd' 2025-09-07T07:51:13.5160734Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5258891Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:13.5283754Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5730789Z Entering 'third_party/pybind11' 2025-09-07T07:51:13.5755996Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5908648Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:13.5933912Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6023053Z Entering 'third_party/sleef' 2025-09-07T07:51:13.6048824Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6168318Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:13.6194861Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6299291Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:13.6323842Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6439083Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:13.6463928Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6585664Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:13.6609637Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6725215Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:13.6749922Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6828663Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:13.6853453Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6989201Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:51:13.7305717Z ##[endgroup] 2025-09-07T07:51:13.7306158Z ##[group]Fetching the repository 2025-09-07T07:51:13.7314591Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:51:14.6283356Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:51:14.6308670Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:51:14.6313170Z ##[endgroup] 2025-09-07T07:51:14.6313648Z ##[group]Determining the checkout info 2025-09-07T07:51:14.6314149Z ##[endgroup] 2025-09-07T07:51:14.6317875Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:51:14.7259903Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:51:14.7457821Z ##[group]Checking out the ref 2025-09-07T07:51:14.7462652Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:51:14.8249069Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:51:14.8257104Z ##[endgroup] 2025-09-07T07:51:14.8257570Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:51:14.8262280Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:51:14.8479653Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:51:14.8504659Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:51:14.8611828Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:51:14.8766252Z ##[endgroup] 2025-09-07T07:51:14.8766660Z ##[group]Fetching submodules 2025-09-07T07:51:14.8769654Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:51:14.9110894Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T07:51:14.9204753Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T07:51:14.9279002Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T07:51:14.9334549Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T07:51:14.9485635Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T07:51:14.9644128Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:14.9817653Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T07:51:14.9964135Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T07:51:15.0138142Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:15.0306936Z Synchronizing submodule url for 'third_party/benchmark' 2025-09-07T07:51:15.0464173Z Synchronizing submodule url for 'third_party/composable_kernel' 2025-09-07T07:51:15.0661865Z Synchronizing submodule url for 'third_party/cpp-httplib' 2025-09-07T07:51:15.0842391Z Synchronizing submodule url for 'third_party/cpuinfo' 2025-09-07T07:51:15.1015009Z Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-09-07T07:51:15.1159667Z Synchronizing submodule url for 'third_party/cutlass' 2025-09-07T07:51:15.1252282Z Synchronizing submodule url for 'third_party/fbgemm' 2025-09-07T07:51:15.1340000Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:15.1485832Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:15.2785378Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:15.2920211Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:15.3096700Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:15.3142959Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:15.3228019Z Synchronizing submodule url for 'third_party/fbgemm/external/json' 2025-09-07T07:51:15.3425841Z Synchronizing submodule url for 'third_party/flash-attention' 2025-09-07T07:51:15.3523550Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:15.3778431Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:15.3941129Z Synchronizing submodule url for 'third_party/flatbuffers' 2025-09-07T07:51:15.4080331Z Synchronizing submodule url for 'third_party/fmt' 2025-09-07T07:51:15.4286484Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:15.4445797Z Synchronizing submodule url for 'third_party/gloo' 2025-09-07T07:51:15.4581557Z Synchronizing submodule url for 'third_party/googletest' 2025-09-07T07:51:15.4615858Z Synchronizing submodule url for 'third_party/ideep' 2025-09-07T07:51:15.4713298Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:15.4862328Z Synchronizing submodule url for 'third_party/ittapi' 2025-09-07T07:51:15.5000038Z Synchronizing submodule url for 'third_party/kineto' 2025-09-07T07:51:15.5120429Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:15.5347578Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:15.5465520Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:15.5619833Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:15.5711333Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:15.5873346Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:15.5992861Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:15.6118932Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:15.6287793Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:15.6473378Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:15.6568163Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:15.6758817Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:15.7039862Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T07:51:15.7185894Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T07:51:15.7407569Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T07:51:15.7535125Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T07:51:15.7706577Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:15.7932276Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T07:51:15.8193423Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:15.8359505Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:15.8562881Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:15.8725773Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:15.8879814Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:15.9013847Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:15.9099505Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:15.9189222Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:15.9278391Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:16.0583705Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:16.0783933Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T07:51:16.0997818Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T07:51:16.1362372Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:16.1466931Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:16.1878025Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T07:51:16.2317940Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T07:51:16.2765622Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T07:51:16.3490988Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T07:51:16.3758190Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T07:51:16.4039439Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T07:51:16.4342588Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:16.4693732Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:16.4980723Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:16.5281285Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:16.5587860Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:16.5624446Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:51:16.6902975Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:51:16.7119235Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:51:16.7308019Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:51:16.7837232Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:51:16.9357684Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:51:17.0077073Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:51:17.1351616Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:51:17.4102372Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:51:17.4425013Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:51:17.4765918Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:51:18.0350886Z Submodule path 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'8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:51:21.9183442Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:51:22.0233535Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:51:22.3719611Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:51:22.5968292Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:51:22.6170997Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:51:22.6608205Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:51:22.6867060Z Submodule path 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2025-09-07T07:51:25.6497746Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:25.6533625Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:25.6575243Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:25.6616927Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:25.6653540Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:25.6689367Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:25.6726244Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:25.6764501Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:25.6804366Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:25.6861427Z Entering 'third_party/pocketfft' 2025-09-07T07:51:25.6899918Z Entering 'third_party/protobuf' 2025-09-07T07:51:25.6941964Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:25.6977625Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:25.7016054Z Entering 'third_party/psimd' 2025-09-07T07:51:25.7057804Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:25.7097925Z Entering 'third_party/pybind11' 2025-09-07T07:51:25.7136145Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:25.7175696Z Entering 'third_party/sleef' 2025-09-07T07:51:25.7218341Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:25.7257186Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:25.7293680Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:25.7331156Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:25.7371822Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:25.7407050Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:25.7461706Z ##[endgroup] 2025-09-07T07:51:25.7462189Z ##[group]Persisting credentials for submodules 2025-09-07T07:51:25.7470979Z [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' || :" 2025-09-07T07:51:25.7710514Z Entering 'android/libs/fbjni' 2025-09-07T07:51:25.7735177Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7735537Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7769603Z Entering 'third_party/FP16' 2025-09-07T07:51:25.7796015Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7796409Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7827838Z Entering 'third_party/FXdiv' 2025-09-07T07:51:25.7852992Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7853339Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7884032Z Entering 'third_party/NNPACK' 2025-09-07T07:51:25.7909759Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7910146Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7941638Z Entering 'third_party/NVTX' 2025-09-07T07:51:25.7966362Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7966723Z url.https://github.com/.insteadof 2025-09-07T07:51:25.7997752Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:25.8023476Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8023845Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8054946Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:25.8080058Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8080396Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8127647Z Entering 'third_party/aiter' 2025-09-07T07:51:25.8153688Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8154024Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8185893Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:25.8210805Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8211189Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8251584Z Entering 'third_party/benchmark' 2025-09-07T07:51:25.8276982Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8277340Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8308224Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:25.8333717Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8334082Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8375173Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:25.8400663Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8401027Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8432417Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:25.8458550Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8458922Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8490740Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:25.8516160Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8516515Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8547929Z Entering 'third_party/cutlass' 2025-09-07T07:51:25.8573645Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8573997Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8616433Z Entering 'third_party/fbgemm' 2025-09-07T07:51:25.8641615Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8641989Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8677074Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:25.8701326Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8701706Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8732545Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:25.8757694Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8758036Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8797435Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:25.8822765Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8823121Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8856946Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:25.8882158Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8882487Z url.https://github.com/.insteadof 2025-09-07T07:51:25.8923184Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:25.9223530Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9223896Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9259153Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:25.9283781Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9284123Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9319320Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:25.9344797Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9345151Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9388293Z Entering 'third_party/flash-attention' 2025-09-07T07:51:25.9413623Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9413975Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9445462Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:25.9469665Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9470007Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9507462Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:25.9532469Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9532922Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9572976Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:25.9597808Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9598160Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9632573Z Entering 'third_party/fmt' 2025-09-07T07:51:25.9657435Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9657789Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9691552Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:25.9717151Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9717503Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9748774Z Entering 'third_party/gloo' 2025-09-07T07:51:25.9777323Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9777674Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9811498Z Entering 'third_party/googletest' 2025-09-07T07:51:25.9836751Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9837098Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9868292Z Entering 'third_party/ideep' 2025-09-07T07:51:25.9893164Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9893516Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9923437Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:25.9947329Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9947692Z url.https://github.com/.insteadof 2025-09-07T07:51:25.9987588Z Entering 'third_party/ittapi' 2025-09-07T07:51:26.0012911Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0013243Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0046998Z Entering 'third_party/kineto' 2025-09-07T07:51:26.0072847Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0073199Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0104824Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:26.0129030Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0129372Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0160569Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:26.0185356Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0185940Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0219098Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:26.0243274Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0243633Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0275596Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:26.0301162Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0301496Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0333007Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:26.0357547Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0357902Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0388871Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:26.0413159Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0413520Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0446280Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:26.0470207Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0470566Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0506543Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:26.0531290Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0531643Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0566881Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:26.0592018Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0592339Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0628116Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:26.0652996Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0653334Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0686926Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:26.0711794Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0712146Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0745856Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:26.0770256Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0770596Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0803621Z Entering 'third_party/kleidiai' 2025-09-07T07:51:26.0829461Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0829813Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0862204Z Entering 'third_party/mimalloc' 2025-09-07T07:51:26.0887478Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0887816Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0919269Z Entering 'third_party/nlohmann' 2025-09-07T07:51:26.0945273Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0945622Z url.https://github.com/.insteadof 2025-09-07T07:51:26.0978368Z Entering 'third_party/onnx' 2025-09-07T07:51:26.1004000Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1004370Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1056999Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:26.1081668Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1082025Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1116043Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:26.1142777Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1143135Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1176749Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:26.1200666Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1201023Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1234248Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:26.1260507Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1260865Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1295942Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:26.1319884Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1320460Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1351034Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:26.1375658Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1376016Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1410034Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:26.1433869Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1434225Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1466882Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:26.1491161Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1491509Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1521196Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:26.1545364Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1545707Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1575600Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:26.1599197Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1599550Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1636929Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:26.1662487Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1662850Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1699024Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:26.1722959Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1777081Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1777417Z Entering 'third_party/pocketfft' 2025-09-07T07:51:26.1802032Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1802398Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1839747Z Entering 'third_party/protobuf' 2025-09-07T07:51:26.1866173Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1866525Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1901630Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:26.1926583Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1927027Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1961239Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:26.1985854Z url.https://github.com/.insteadof 2025-09-07T07:51:26.1986489Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2020151Z Entering 'third_party/psimd' 2025-09-07T07:51:26.2045566Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2046195Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2077292Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:26.2103394Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2103769Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2140599Z Entering 'third_party/pybind11' 2025-09-07T07:51:26.2165238Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2165598Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2202831Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:26.2229296Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2229675Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2260889Z Entering 'third_party/sleef' 2025-09-07T07:51:26.2286972Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2287329Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2319096Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:26.2344722Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2345077Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2381051Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:26.2404749Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2405077Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2435833Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:26.2462255Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2462604Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2496106Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:26.2520554Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2520912Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2552999Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:26.2577806Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2578358Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2608220Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:26.2632146Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2632510Z url.https://github.com/.insteadof 2025-09-07T07:51:26.2684279Z [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" 2025-09-07T07:51:26.2928733Z Entering 'android/libs/fbjni' 2025-09-07T07:51:26.2966429Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:51:26.2985124Z Entering 'third_party/FP16' 2025-09-07T07:51:26.3023234Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:51:26.3041336Z Entering 'third_party/FXdiv' 2025-09-07T07:51:26.3078455Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:51:26.3098052Z Entering 'third_party/NNPACK' 2025-09-07T07:51:26.3136356Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:51:26.3155397Z Entering 'third_party/NVTX' 2025-09-07T07:51:26.3199033Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:51:26.3218261Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:26.3257556Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:51:26.3276460Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:26.3316479Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:51:26.3352715Z Entering 'third_party/aiter' 2025-09-07T07:51:26.3392405Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:51:26.3411523Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:26.3449049Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:51:26.3477958Z Entering 'third_party/benchmark' 2025-09-07T07:51:26.3520686Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:26.3540141Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:26.3578855Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:51:26.3608258Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:26.3648384Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:51:26.3667630Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:26.3707630Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:51:26.3726882Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:26.3765213Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:51:26.3784390Z Entering 'third_party/cutlass' 2025-09-07T07:51:26.3828000Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:51:26.3857510Z Entering 'third_party/fbgemm' 2025-09-07T07:51:26.3900340Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:51:26.3921427Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:26.3958677Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:51:26.3976736Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:26.4017443Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:51:26.4043872Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:26.4082571Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:51:26.4101727Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:26.4144074Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:51:26.4171126Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:26.4209839Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:51:26.4227173Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:26.4265525Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:51:26.4283559Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:26.4320361Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:51:26.4343586Z Entering 'third_party/flash-attention' 2025-09-07T07:51:26.4382207Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:51:26.4401627Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:26.4439739Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:51:26.4463664Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:26.4504899Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:51:26.4534349Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:26.4572260Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:51:26.4592573Z Entering 'third_party/fmt' 2025-09-07T07:51:26.4634943Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:51:26.4653504Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:26.4692052Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:51:26.4710864Z Entering 'third_party/gloo' 2025-09-07T07:51:26.4749822Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:51:26.4768138Z Entering 'third_party/googletest' 2025-09-07T07:51:26.4806316Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:26.4824951Z Entering 'third_party/ideep' 2025-09-07T07:51:26.4866779Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:51:26.4883915Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:26.4921947Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:51:26.4948126Z Entering 'third_party/ittapi' 2025-09-07T07:51:26.4986574Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:51:26.5004888Z Entering 'third_party/kineto' 2025-09-07T07:51:26.5043289Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:51:26.5061720Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:26.5100381Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:51:26.5118321Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:26.5161457Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:51:26.5181574Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:26.5223445Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:51:26.5242832Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:26.5281706Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:51:26.5302322Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:26.5341082Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:51:26.5359156Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:26.5397877Z 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 2025-09-07T07:51:26.5418314Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:26.5459453Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:51:26.5478396Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:26.5517477Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:26.5536938Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:26.5576161Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:51:26.5596064Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:26.5635241Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:51:26.5657234Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:26.5694742Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:51:26.5712995Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:26.5752368Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:51:26.5772958Z Entering 'third_party/kleidiai' 2025-09-07T07:51:26.5810280Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:51:26.5830123Z Entering 'third_party/mimalloc' 2025-09-07T07:51:26.5868972Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:51:26.5887591Z Entering 'third_party/nlohmann' 2025-09-07T07:51:26.5924767Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:51:26.5945792Z Entering 'third_party/onnx' 2025-09-07T07:51:26.5984330Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:51:26.6022399Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:26.6060648Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:51:26.6082288Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:26.6121356Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:51:26.6142973Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:26.6179457Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:26.6197278Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:26.6238672Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:26.6256668Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:26.6294182Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:51:26.6311277Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:26.6348795Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:51:26.6367136Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:26.6404152Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:51:26.6421857Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:26.6458708Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:51:26.6476658Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:26.6515955Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:51:26.6533265Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:26.6570408Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:51:26.6590183Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:26.6630218Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:51:26.6652201Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:26.6690627Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:51:26.6733421Z Entering 'third_party/pocketfft' 2025-09-07T07:51:26.6771660Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:51:26.6789488Z Entering 'third_party/protobuf' 2025-09-07T07:51:26.6828576Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:51:26.6850186Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:26.6889482Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:26.6907273Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:26.6945559Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:26.6964717Z Entering 'third_party/psimd' 2025-09-07T07:51:26.7002549Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:51:26.7021008Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:26.7059057Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:51:26.7077416Z Entering 'third_party/pybind11' 2025-09-07T07:51:26.7115749Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:51:26.7135117Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:26.7173126Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:51:26.7192005Z Entering 'third_party/sleef' 2025-09-07T07:51:26.7230421Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:51:26.7248928Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:26.7286978Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:51:26.7304936Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:26.7341883Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:26.7359911Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:26.7397696Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:51:26.7415288Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:26.7452198Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:51:26.7470332Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:26.7507836Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:51:26.7524811Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:26.7561972Z file:/home/charlie/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:51:26.7825716Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:51:26.8066465Z Entering 'android/libs/fbjni' 2025-09-07T07:51:26.8451196Z Entering 'third_party/FP16' 2025-09-07T07:51:26.8489893Z Entering 'third_party/FXdiv' 2025-09-07T07:51:26.8527744Z Entering 'third_party/NNPACK' 2025-09-07T07:51:26.8566131Z Entering 'third_party/NVTX' 2025-09-07T07:51:26.8605034Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:26.8642530Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:26.8699836Z Entering 'third_party/aiter' 2025-09-07T07:51:26.8739603Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:26.8785709Z Entering 'third_party/benchmark' 2025-09-07T07:51:26.8824385Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:26.8871678Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:26.8909631Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:26.8948191Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:26.8986179Z Entering 'third_party/cutlass' 2025-09-07T07:51:26.9035080Z Entering 'third_party/fbgemm' 2025-09-07T07:51:26.9075178Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:26.9110790Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:26.9155061Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:26.9191760Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:26.9236064Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:26.9271838Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:26.9307463Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:26.9345837Z Entering 'third_party/flash-attention' 2025-09-07T07:51:26.9385473Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:26.9427232Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:26.9472035Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:26.9512077Z Entering 'third_party/fmt' 2025-09-07T07:51:26.9549286Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:26.9586411Z Entering 'third_party/gloo' 2025-09-07T07:51:26.9624007Z Entering 'third_party/googletest' 2025-09-07T07:51:26.9661067Z Entering 'third_party/ideep' 2025-09-07T07:51:26.9698364Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:26.9742651Z Entering 'third_party/ittapi' 2025-09-07T07:51:26.9780858Z Entering 'third_party/kineto' 2025-09-07T07:51:26.9818177Z Entering 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2025-09-07T07:51:27.1774739Z Entering 'third_party/FP16' 2025-09-07T07:51:27.1813066Z Entering 'third_party/FXdiv' 2025-09-07T07:51:27.1850545Z Entering 'third_party/NNPACK' 2025-09-07T07:51:27.1890244Z Entering 'third_party/NVTX' 2025-09-07T07:51:27.1929427Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:27.1968197Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:27.2023788Z Entering 'third_party/aiter' 2025-09-07T07:51:27.2063554Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:27.2110004Z Entering 'third_party/benchmark' 2025-09-07T07:51:27.2148708Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:27.2196271Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:27.2234023Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:27.2273514Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:27.2315073Z Entering 'third_party/cutlass' 2025-09-07T07:51:27.2363080Z Entering 'third_party/fbgemm' 2025-09-07T07:51:27.2404249Z Entering 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2025-09-07T07:51:27.2976830Z Entering 'third_party/googletest' 2025-09-07T07:51:27.3014255Z Entering 'third_party/ideep' 2025-09-07T07:51:27.3051279Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:27.3096822Z Entering 'third_party/ittapi' 2025-09-07T07:51:27.3136020Z Entering 'third_party/kineto' 2025-09-07T07:51:27.3176357Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:27.3212751Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:27.3250389Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:27.3288436Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:27.3325649Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:27.3360306Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:27.3398530Z Entering 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'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:27.3911044Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:27.3948757Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:27.3984958Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:27.4023085Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:27.4059510Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:27.4095584Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:27.4130305Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:27.4168194Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:27.4206806Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:27.4265957Z Entering 'third_party/pocketfft' 2025-09-07T07:51:27.4303425Z Entering 'third_party/protobuf' 2025-09-07T07:51:27.4346092Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:27.4382451Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:27.4423682Z Entering 'third_party/psimd' 2025-09-07T07:51:27.4464318Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:27.4503977Z Entering 'third_party/pybind11' 2025-09-07T07:51:27.4543104Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:27.4581332Z Entering 'third_party/sleef' 2025-09-07T07:51:27.4619498Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:27.4658408Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:27.4694316Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:27.4730140Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:27.4765398Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:27.4800997Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:27.5616253Z ##[endgroup] 2025-09-07T07:51:27.5652097Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:51:27.5675447Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:51:27.5851332Z Prepare all required actions 2025-09-07T07:51:27.5851876Z Getting action download info 2025-09-07T07:51:27.9027987Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:51:27.9028312Z env: 2025-09-07T07:51:27.9028535Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:27.9028820Z ##[endgroup] 2025-09-07T07:51:27.9069682Z ##[group]Run set -euo pipefail 2025-09-07T07:51:27.9070075Z set -euo pipefail 2025-09-07T07:51:27.9070366Z function get_ec2_metadata() { 2025-09-07T07:51:27.9070780Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:51:27.9071438Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:51:27.9072019Z  category=$1 2025-09-07T07:51:27.9072392Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:51:27.9072843Z  runner_name_str=i-01a21955dc3821a00-1003 2025-09-07T07:51:27.9073258Z  if [[ -f /.inarc ]]; then 2025-09-07T07:51:27.9073615Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:51:27.9074002Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:51:27.9074490Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:51:27.9074936Z  else 2025-09-07T07:51:27.9075833Z  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}" 2025-09-07T07:51:27.9077040Z  fi 2025-09-07T07:51:27.9077252Z } 2025-09-07T07:51:27.9077526Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:51:27.9077964Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:51:27.9078461Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:51:27.9078882Z echo "system info $(uname -a)" 2025-09-07T07:51:27.9092171Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:27.9092570Z env: 2025-09-07T07:51:27.9092969Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:27.9093245Z ##[endgroup] 2025-09-07T07:51:27.9129322Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:51:27.9133688Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:51:27.9138920Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T07:51:27.9149809Z system info Linux 1df832b2c445 6.5.0-1024-aws #24~22.04.1-Ubuntu SMP Thu Jul 18 10:43:12 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:51:27.9167937Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:51:27.9168908Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:51:27.9181218Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:27.9181617Z env: 2025-09-07T07:51:27.9181826Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:27.9182095Z ##[endgroup] 2025-09-07T07:51:27.9256108Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:51:27.9256426Z with: 2025-09-07T07:51:27.9256622Z shell: bash 2025-09-07T07:51:27.9256849Z timeout_minutes: 5 2025-09-07T07:51:27.9257094Z max_attempts: 3 2025-09-07T07:51:27.9257338Z retry_wait_seconds: 30 2025-09-07T07:51:27.9259932Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:51:27.9262329Z polling_interval_seconds: 1 2025-09-07T07:51:27.9262604Z warning_on_retry: true 2025-09-07T07:51:27.9262872Z continue_on_error: false 2025-09-07T07:51:27.9263132Z env: 2025-09-07T07:51:27.9263342Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:27.9263602Z AWS_RETRY_MODE: standard 2025-09-07T07:51:27.9263871Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:51:27.9264136Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:51:27.9264427Z ##[endgroup] 2025-09-07T07:51:29.5721705Z 2025-09-07T07:51:29.5736371Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T07:51:29.5737123Z Configure a credential helper to remove this warning. See 2025-09-07T07:51:29.5737592Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:51:29.5737859Z 2025-09-07T07:51:29.5737966Z Login Succeeded 2025-09-07T07:51:30.0060908Z Command completed after 1 attempt(s). 2025-09-07T07:51:30.0122864Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:51:30.0123424Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:51:30.0123903Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:51:30.0137021Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:30.0137426Z env: 2025-09-07T07:51:30.0137643Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.0137919Z ##[endgroup] 2025-09-07T07:51:30.0223875Z ##[group]Run set +e 2025-09-07T07:51:30.0224400Z set +e 2025-09-07T07:51:30.0224749Z set -x 2025-09-07T07:51:30.0224981Z  2025-09-07T07:51:30.0225213Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:51:30.0225803Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:51:30.0226589Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:51:30.0227150Z # one is returned at random 2025-09-07T07:51:30.0227553Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:51:30.0227931Z  2025-09-07T07:51:30.0228165Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:51:30.0228612Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:51:30.0229153Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:51:30.0229561Z  2025-09-07T07:51:30.0229792Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:51:30.0230190Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:51:30.0230564Z  exit 1 2025-09-07T07:51:30.0230802Z  fi 2025-09-07T07:51:30.0231007Z fi 2025-09-07T07:51:30.0231216Z  2025-09-07T07:51:30.0231477Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:51:30.0231848Z  # Clean up any old records first 2025-09-07T07:51:30.0232207Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:51:30.0232541Z fi 2025-09-07T07:51:30.0232752Z  2025-09-07T07:51:30.0233068Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:51:30.0233468Z cat /etc/hosts 2025-09-07T07:51:30.0246280Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:30.0246680Z env: 2025-09-07T07:51:30.0246903Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.0247189Z ##[endgroup] 2025-09-07T07:51:30.0275791Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:51:30.0281385Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:51:30.0282274Z ++ tail -n1 2025-09-07T07:51:30.0969464Z + RESOLVED_IP=3.170.131.13 2025-09-07T07:51:30.0969810Z + '[' -z 3.170.131.13 ']' 2025-09-07T07:51:30.0970115Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:51:30.0983458Z + echo '3.170.131.13 download.pytorch.org' 2025-09-07T07:51:30.0984391Z + sudo tee -a /etc/hosts 2025-09-07T07:51:30.1039963Z 3.170.131.13 download.pytorch.org 2025-09-07T07:51:30.1051461Z + cat /etc/hosts 2025-09-07T07:51:30.1059937Z 127.0.0.1 localhost 2025-09-07T07:51:30.1064851Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T07:51:30.1065234Z fe00:: ip6-localnet 2025-09-07T07:51:30.1065488Z ff00:: ip6-mcastprefix 2025-09-07T07:51:30.1065748Z ff02::1 ip6-allnodes 2025-09-07T07:51:30.1065986Z ff02::2 ip6-allrouters 2025-09-07T07:51:30.1066237Z 172.17.0.2 1df832b2c445 2025-09-07T07:51:30.1066502Z 3.170.131.13 download.pytorch.org 2025-09-07T07:51:30.1089092Z ##[group]Run set +x 2025-09-07T07:51:30.1089386Z set +x 2025-09-07T07:51:30.1089611Z  2025-09-07T07:51:30.1089833Z max_attempts=30 2025-09-07T07:51:30.1090086Z delay=10 2025-09-07T07:51:30.1090323Z attempt=1 2025-09-07T07:51:30.1090559Z  2025-09-07T07:51:30.1090810Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T07:51:30.1091369Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T07:51:30.1091904Z  if docker info > /dev/null 2>&1; then 2025-09-07T07:51:30.1092348Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T07:51:30.1092759Z  exit 0 2025-09-07T07:51:30.1093224Z  else 2025-09-07T07:51:30.1093491Z  echo "Docker is not running yet." 2025-09-07T07:51:30.1093866Z  echo "Retrying in $delay seconds..." 2025-09-07T07:51:30.1094427Z  sleep $delay 2025-09-07T07:51:30.1094679Z  fi 2025-09-07T07:51:30.1094899Z done 2025-09-07T07:51:30.1095251Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T07:51:30.1095683Z exit 1 2025-09-07T07:51:30.1109200Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:30.1109586Z env: 2025-09-07T07:51:30.1109816Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.1110086Z ##[endgroup] 2025-09-07T07:51:30.1149359Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T07:51:30.1555765Z Docker is running. Proceeding with the next steps 2025-09-07T07:51:30.1731185Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:51:30.1731664Z with: 2025-09-07T07:51:30.1732607Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:30.1733862Z use-custom-docker-registry: true 2025-09-07T07:51:30.1734171Z docker-build-dir: .ci/docker 2025-09-07T07:51:30.1734473Z docker-build-script: ./build.sh 2025-09-07T07:51:30.1734778Z working-directory: . 2025-09-07T07:51:30.1735135Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:30.1735533Z force-push: false 2025-09-07T07:51:30.1735766Z env: 2025-09-07T07:51:30.1735984Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.1736245Z ##[endgroup] 2025-09-07T07:51:30.1754601Z ##[group]Run set -ex 2025-09-07T07:51:30.1754927Z set -ex 2025-09-07T07:51:30.1755157Z  2025-09-07T07:51:30.1755606Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:51:30.1756299Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:51:30.1756879Z # job could then download the pre-built image as usual 2025-09-07T07:51:30.1757603Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:51:30.1758294Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1758641Z else 2025-09-07T07:51:30.1758908Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1759350Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1759767Z  2025-09-07T07:51:30.1760343Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:51:30.1761006Z  exit 0 2025-09-07T07:51:30.1761218Z fi 2025-09-07T07:51:30.1761428Z  2025-09-07T07:51:30.1761770Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:51:30.1762387Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:51:30.1762941Z  # use it as it is, but first let's extract the tag 2025-09-07T07:51:30.1763425Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:51:30.1763952Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1764457Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1764876Z else 2025-09-07T07:51:30.1765148Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:51:30.1765531Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:51:30.1765941Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:51:30.1766286Z  fi 2025-09-07T07:51:30.1766747Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:51:30.1767364Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1768214Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1768941Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1769384Z fi 2025-09-07T07:51:30.1782377Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:30.1782781Z env: 2025-09-07T07:51:30.1782995Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.1783271Z REPO_NAME: pytorch 2025-09-07T07:51:30.1784450Z 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 2025-09-07T07:51:30.1785594Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:51:30.1785879Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:51:30.1786272Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:30.1786694Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:51:30.1787004Z CUSTOM_TAG_PREFIX: 2025-09-07T07:51:30.1787236Z ##[endgroup] 2025-09-07T07:51:30.1816699Z + [[ -d .ci/docker ]] 2025-09-07T07:51:30.1816994Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:51:30.1817286Z + [[ true == \t\r\u\e ]] 2025-09-07T07:51:30.1817548Z + echo skip=false 2025-09-07T07:51:30.1818773Z + [[ 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* ]] 2025-09-07T07:51:30.1824247Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:30.1825304Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:51:30.1836414Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:30.1837595Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:30.1839179Z + 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 2025-09-07T07:51:30.1861954Z ##[group]Run set +e 2025-09-07T07:51:30.1862280Z set +e 2025-09-07T07:51:30.1862513Z set -x 2025-09-07T07:51:30.1862740Z  2025-09-07T07:51:30.1862939Z login() { 2025-09-07T07:51:30.1863435Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:51:30.1863970Z } 2025-09-07T07:51:30.1864179Z  2025-09-07T07:51:30.1864378Z retry () { 2025-09-07T07:51:30.1864765Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:51:30.1865102Z } 2025-09-07T07:51:30.1865325Z  2025-09-07T07:51:30.1865552Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:51:30.1865867Z  2025-09-07T07:51:30.1866091Z START_TIME=$(date +%s) 2025-09-07T07:51:30.1866394Z # Wait up to 120 minutes 2025-09-07T07:51:30.1866754Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:51:30.1867262Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:51:30.1867768Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:51:30.1868143Z  exit 0 2025-09-07T07:51:30.1868381Z  fi 2025-09-07T07:51:30.1868588Z  2025-09-07T07:51:30.1868977Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:51:30.1869663Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:51:30.1870343Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:51:30.1871062Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:51:30.1871480Z  # It's a Docker build job, let's build the image 2025-09-07T07:51:30.1871836Z  break 2025-09-07T07:51:30.1872075Z  else 2025-09-07T07:51:30.1872427Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:51:30.1872842Z  sleep 300 2025-09-07T07:51:30.1873095Z  fi 2025-09-07T07:51:30.1873314Z done 2025-09-07T07:51:30.1873531Z  2025-09-07T07:51:30.1874003Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:51:30.1874594Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:51:30.1875124Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:51:30.1875590Z  # if we're on the base branch then use the parent commit 2025-09-07T07:51:30.1876006Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:51:30.1876318Z else 2025-09-07T07:51:30.1876648Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:51:30.1877138Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:51:30.1877508Z fi 2025-09-07T07:51:30.1877706Z  2025-09-07T07:51:30.1877939Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:51:30.1878305Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1878644Z  2025-09-07T07:51:30.1879115Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:51:30.1879687Z  exit 0 2025-09-07T07:51:30.1879916Z fi 2025-09-07T07:51:30.1880124Z  2025-09-07T07:51:30.1880423Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:51:30.1881132Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:51:30.1881741Z  exit 1 2025-09-07T07:51:30.1881967Z fi 2025-09-07T07:51:30.1882176Z  2025-09-07T07:51:30.1882535Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:51:30.1883341Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:51:30.1883949Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:51:30.1884657Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:51:30.1885453Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:51:30.1885916Z fi 2025-09-07T07:51:30.1886133Z  2025-09-07T07:51:30.1886399Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:30.1898433Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:30.1898827Z env: 2025-09-07T07:51:30.1899040Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.1899323Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:51:30.1899669Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:51:30.1900742Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:30.1902159Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:30.1902962Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:30.1903363Z DOCKER_PUSH: 2025-09-07T07:51:30.1903592Z ##[endgroup] 2025-09-07T07:51:30.1931293Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:30.1931929Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:30.1934625Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:51:30.1936199Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:31.1616666Z 2025-09-07T07:51:31.1617095Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T07:51:31.1617728Z Configure a credential helper to remove this warning. See 2025-09-07T07:51:31.1618185Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:51:31.1618434Z 2025-09-07T07:51:31.1618525Z Login Succeeded 2025-09-07T07:51:31.1642389Z ++ date +%s 2025-09-07T07:51:31.1651150Z + START_TIME=1757231491 2025-09-07T07:51:31.1654734Z ++ date +%s 2025-09-07T07:51:31.1662517Z + [[ 1757224291 -lt 1757231491 ]] 2025-09-07T07:51:31.1663582Z + 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 2025-09-07T07:51:31.5519992Z { 2025-09-07T07:51:31.5520275Z "schemaVersion": 2, 2025-09-07T07:51:31.5520709Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:51:31.5521162Z "config": { 2025-09-07T07:51:31.5521503Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:51:31.5522000Z "size": 31375, 2025-09-07T07:51:31.5522419Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T07:51:31.5522902Z }, 2025-09-07T07:51:31.5523106Z "layers": [ 2025-09-07T07:51:31.5523302Z { 2025-09-07T07:51:31.5523671Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5524102Z "size": 30448359, 2025-09-07T07:51:31.5524537Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:51:31.5525014Z }, 2025-09-07T07:51:31.5525209Z { 2025-09-07T07:51:31.5525534Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5525975Z "size": 1554, 2025-09-07T07:51:31.5526381Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T07:51:31.5526862Z }, 2025-09-07T07:51:31.5527054Z { 2025-09-07T07:51:31.5527382Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5527792Z "size": 313297922, 2025-09-07T07:51:31.5528235Z "digest": "sha256:4c92b3f72f1df31fe9f487fc1c27fcf1ba475ffb43abd69056306d1247786e40" 2025-09-07T07:51:31.5528721Z }, 2025-09-07T07:51:31.5528912Z { 2025-09-07T07:51:31.5529230Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5529657Z "size": 792, 2025-09-07T07:51:31.5530068Z "digest": "sha256:744f9ba90a6582eb601b3c20409bb10d6dad635dd118c3975f79721f4c82747c" 2025-09-07T07:51:31.5530550Z }, 2025-09-07T07:51:31.5530744Z { 2025-09-07T07:51:31.5531062Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5531487Z "size": 106, 2025-09-07T07:51:31.5531890Z "digest": "sha256:d3c08322a3326e45849dd80264a047c4f42ba4a2419d35c919542e2890e23934" 2025-09-07T07:51:31.5532363Z }, 2025-09-07T07:51:31.5532539Z { 2025-09-07T07:51:31.5533121Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5533546Z "size": 704, 2025-09-07T07:51:31.5533961Z "digest": "sha256:ffd43b71f3ccf3ba563606231cb1d191eb9dd0052f422d54835e6af350525170" 2025-09-07T07:51:31.5534430Z }, 2025-09-07T07:51:31.5534620Z { 2025-09-07T07:51:31.5534940Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5535366Z "size": 1215, 2025-09-07T07:51:31.5535765Z "digest": "sha256:830692b57f6e2758398ec80c3b67a20441d12696b54ed14f2ecebf926198f7d6" 2025-09-07T07:51:31.5536246Z }, 2025-09-07T07:51:31.5536439Z { 2025-09-07T07:51:31.5536764Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5537173Z "size": 482, 2025-09-07T07:51:31.5537962Z "digest": "sha256:5bad36d184686719399be50830a98939d7dbda2313fb407df5915217483fc6a3" 2025-09-07T07:51:31.5538433Z }, 2025-09-07T07:51:31.5538628Z { 2025-09-07T07:51:31.5538941Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5539363Z "size": 110343614, 2025-09-07T07:51:31.5539805Z "digest": 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"sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T07:51:31.5546087Z }, 2025-09-07T07:51:31.5546282Z { 2025-09-07T07:51:31.5546610Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5547020Z "size": 543, 2025-09-07T07:51:31.5547438Z "digest": "sha256:9408d557a804a7dce00897e03ce9f4f447281eb38ce4bc331098a1f1a5ff0d30" 2025-09-07T07:51:31.5547920Z }, 2025-09-07T07:51:31.5548115Z { 2025-09-07T07:51:31.5548426Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5548850Z "size": 3241148049, 2025-09-07T07:51:31.5549286Z "digest": "sha256:df607cfc7c07db6d442e0274e2be8cdc507df8716717363aa92f2fea069bdd9a" 2025-09-07T07:51:31.5549778Z }, 2025-09-07T07:51:31.5549959Z { 2025-09-07T07:51:31.5550286Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5550710Z "size": 32, 2025-09-07T07:51:31.5551120Z "digest": 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"sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T07:51:31.5653751Z }, 2025-09-07T07:51:31.5653921Z { 2025-09-07T07:51:31.5654231Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5654635Z "size": 32, 2025-09-07T07:51:31.5655027Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:51:31.5655500Z }, 2025-09-07T07:51:31.5655681Z { 2025-09-07T07:51:31.5655993Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5656393Z "size": 109, 2025-09-07T07:51:31.5656810Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T07:51:31.5657291Z }, 2025-09-07T07:51:31.5657463Z { 2025-09-07T07:51:31.5657770Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5658176Z "size": 1897, 2025-09-07T07:51:31.5658581Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T07:51:31.5659058Z }, 2025-09-07T07:51:31.5659227Z { 2025-09-07T07:51:31.5659537Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5659949Z "size": 243440375, 2025-09-07T07:51:31.5660366Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T07:51:31.5660829Z }, 2025-09-07T07:51:31.5661004Z { 2025-09-07T07:51:31.5661319Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5661727Z "size": 106, 2025-09-07T07:51:31.5662117Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T07:51:31.5662567Z }, 2025-09-07T07:51:31.5662741Z { 2025-09-07T07:51:31.5663052Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5663462Z "size": 166, 2025-09-07T07:51:31.5663851Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T07:51:31.5664316Z }, 2025-09-07T07:51:31.5664495Z { 2025-09-07T07:51:31.5664901Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5665298Z "size": 7943, 2025-09-07T07:51:31.5665698Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T07:51:31.5666162Z }, 2025-09-07T07:51:31.5666341Z { 2025-09-07T07:51:31.5666778Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5667186Z "size": 8072, 2025-09-07T07:51:31.5667582Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T07:51:31.5668043Z }, 2025-09-07T07:51:31.5668211Z { 2025-09-07T07:51:31.5668525Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5668932Z "size": 304, 2025-09-07T07:51:31.5669332Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:51:31.5669792Z }, 2025-09-07T07:51:31.5669966Z { 2025-09-07T07:51:31.5670381Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5670797Z "size": 13362696, 2025-09-07T07:51:31.5671192Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:51:31.5671645Z }, 2025-09-07T07:51:31.5671824Z { 2025-09-07T07:51:31.5672141Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5672549Z "size": 108, 2025-09-07T07:51:31.5672945Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:51:31.5673406Z }, 2025-09-07T07:51:31.5673577Z { 2025-09-07T07:51:31.5673879Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5674283Z "size": 54145663, 2025-09-07T07:51:31.5674696Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:51:31.5675162Z }, 2025-09-07T07:51:31.5675333Z { 2025-09-07T07:51:31.5675649Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:31.5676055Z "size": 32, 2025-09-07T07:51:31.5676453Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:51:31.5676915Z } 2025-09-07T07:51:31.5677086Z ] 2025-09-07T07:51:31.5677264Z } 2025-09-07T07:51:31.5677473Z + exit 0 2025-09-07T07:51:31.5703437Z ##[group]Run set -eux 2025-09-07T07:51:31.5703733Z set -eux 2025-09-07T07:51:31.5704169Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:51:31.5705473Z 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 2025-09-07T07:51:31.5719037Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:31.5719442Z env: 2025-09-07T07:51:31.5719671Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:31.5719943Z ##[endgroup] 2025-09-07T07:51:31.5753038Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:51:31.5754285Z + jq --raw-output .SecretString 2025-09-07T07:51:31.5755648Z + jq -r .docker_hub_readonly_token 2025-09-07T07:51:31.5757069Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:51:32.1891322Z 2025-09-07T07:51:32.1893459Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gh-ci-github-action-runners-runner-role/i-01a21955dc3821a00 is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-09-07T07:51:32.2776207Z Error: Cannot perform an interactive login from a non TTY device 2025-09-07T07:51:32.2789580Z + true 2025-09-07T07:51:32.2856578Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:51:32.2856961Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:51:32.2857363Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:51:32.2870301Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:32.2870709Z env: 2025-09-07T07:51:32.2870939Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:32.2871932Z 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 2025-09-07T07:51:32.2873150Z ##[endgroup] 2025-09-07T07:51:32.2904395Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:32.2947577Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:51:32.2948028Z with: 2025-09-07T07:51:32.2948948Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:32.2950049Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:32.2950447Z env: 2025-09-07T07:51:32.2950662Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:32.2950929Z ##[endgroup] 2025-09-07T07:51:32.2964645Z ##[group]Run set -x 2025-09-07T07:51:32.2964913Z set -x 2025-09-07T07:51:32.2965148Z set +e 2025-09-07T07:51:32.2965383Z  2025-09-07T07:51:32.2965585Z login() { 2025-09-07T07:51:32.2966077Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:51:32.2966613Z } 2025-09-07T07:51:32.2966821Z  2025-09-07T07:51:32.2967070Z retry () { 2025-09-07T07:51:32.2967347Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:51:32.2967656Z } 2025-09-07T07:51:32.2967863Z  2025-09-07T07:51:32.2968099Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:51:32.2968418Z  2025-09-07T07:51:32.2968903Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:51:32.2969587Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:51:32.2969970Z  2025-09-07T07:51:32.2970179Z set -e 2025-09-07T07:51:32.2970516Z # ignore output since only exit code is used for conditional 2025-09-07T07:51:32.2971029Z # only pull docker image if it's not available locally 2025-09-07T07:51:32.2971590Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:51:32.2972113Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:51:32.2972444Z fi 2025-09-07T07:51:32.2984354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:32.2984856Z env: 2025-09-07T07:51:32.2985075Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:32.2986057Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:32.2987163Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:32.2987550Z ##[endgroup] 2025-09-07T07:51:32.3014350Z + set +e 2025-09-07T07:51:32.3014699Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:32.3015162Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:32.3017777Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:51:32.3019504Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:33.1293687Z 2025-09-07T07:51:33.1294170Z WARNING! Your credentials are stored unencrypted in '/home/charlie/.docker/config.json'. 2025-09-07T07:51:33.1294817Z Configure a credential helper to remove this warning. See 2025-09-07T07:51:33.1295282Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:51:33.1295536Z 2025-09-07T07:51:33.1295641Z Login Succeeded 2025-09-07T07:51:33.1317450Z ++ 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 2025-09-07T07:51:33.1318556Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:51:33.5295360Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:51:33.5295803Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:51:33.5296195Z + set -e 2025-09-07T07:51:33.5297506Z + 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 2025-09-07T07:51:33.5298631Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:51:33.5410851Z + 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 2025-09-07T07:51:33.5412604Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:33.9002389Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:51:33.9003341Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:51:33.9003650Z 171dcef20c49: Pulling fs layer 2025-09-07T07:51:33.9003945Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:51:33.9004222Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:51:33.9004521Z d3c08322a332: Pulling fs layer 2025-09-07T07:51:33.9004806Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:51:33.9005090Z 830692b57f6e: Pulling fs layer 2025-09-07T07:51:33.9005359Z 5bad36d18468: Pulling fs layer 2025-09-07T07:51:33.9005676Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:51:33.9005951Z d3c08322a332: Waiting 2025-09-07T07:51:33.9006194Z ffd43b71f3cc: Waiting 2025-09-07T07:51:33.9006424Z 830692b57f6e: Waiting 2025-09-07T07:51:33.9006674Z 3c868a62868e: Pulling fs layer 2025-09-07T07:51:33.9006981Z 5bad36d18468: Waiting 2025-09-07T07:51:33.9007223Z 0e34fdd9ac5c: Waiting 2025-09-07T07:51:33.9007450Z 744f9ba90a65: Waiting 2025-09-07T07:51:33.9007699Z 62170a22dd57: Pulling fs layer 2025-09-07T07:51:33.9007978Z 3c868a62868e: Waiting 2025-09-07T07:51:33.9008215Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:51:33.9008498Z 9408d557a804: Pulling fs layer 2025-09-07T07:51:33.9008781Z df607cfc7c07: Pulling fs layer 2025-09-07T07:51:33.9009069Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:51:33.9009351Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:51:33.9009626Z 62170a22dd57: Waiting 2025-09-07T07:51:33.9009873Z 553c1d23b6c4: Waiting 2025-09-07T07:51:33.9010123Z d895771c9fac: Pulling fs layer 2025-09-07T07:51:33.9010381Z 9408d557a804: Waiting 2025-09-07T07:51:33.9010620Z 4f4fb700ef54: Waiting 2025-09-07T07:51:33.9010862Z df607cfc7c07: Waiting 2025-09-07T07:51:33.9011108Z 40a8e39faeda: Waiting 2025-09-07T07:51:33.9011349Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:51:33.9011623Z d895771c9fac: Waiting 2025-09-07T07:51:33.9011872Z 3690c9826e48: Pulling fs layer 2025-09-07T07:51:33.9012151Z c4ee04f39d49: Waiting 2025-09-07T07:51:33.9012387Z 57cbc5013733: Pulling fs layer 2025-09-07T07:51:33.9012679Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:51:33.9013240Z 3690c9826e48: Waiting 2025-09-07T07:51:33.9013479Z 57cbc5013733: Waiting 2025-09-07T07:51:33.9013716Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:51:33.9014001Z fe0486521517: Pulling fs layer 2025-09-07T07:51:33.9014276Z f5f4b06b58bb: Waiting 2025-09-07T07:51:33.9014519Z f59713ce4bf4: Waiting 2025-09-07T07:51:33.9014757Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:51:33.9015038Z d37c58456a6a: Pulling fs layer 2025-09-07T07:51:33.9015321Z d042f63abc13: Pulling fs layer 2025-09-07T07:51:33.9015597Z fe0486521517: Waiting 2025-09-07T07:51:33.9015830Z 621284a9c05a: Pulling fs layer 2025-09-07T07:51:33.9016100Z 8c21cc3715a2: Waiting 2025-09-07T07:51:33.9016338Z d37c58456a6a: Waiting 2025-09-07T07:51:33.9016592Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:51:33.9016853Z d042f63abc13: Waiting 2025-09-07T07:51:33.9017095Z 621284a9c05a: Waiting 2025-09-07T07:51:33.9017344Z 381b5539e598: Pulling fs layer 2025-09-07T07:51:33.9017613Z 85f605d2dd3a: Waiting 2025-09-07T07:51:33.9018236Z a487c0c80029: Pulling fs layer 2025-09-07T07:51:33.9018520Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:51:33.9018802Z e261928c0043: Pulling fs layer 2025-09-07T07:51:33.9019074Z a487c0c80029: Waiting 2025-09-07T07:51:33.9019300Z 381b5539e598: Waiting 2025-09-07T07:51:33.9019539Z 48bcb81e2566: Waiting 2025-09-07T07:51:33.9019962Z 0fea55428091: Pulling fs layer 2025-09-07T07:51:33.9020241Z e261928c0043: Waiting 2025-09-07T07:51:33.9020482Z b4291bccbb84: Pulling fs layer 2025-09-07T07:51:33.9020773Z ddc91b09189a: Pulling fs layer 2025-09-07T07:51:33.9021061Z 7540c7428627: Pulling fs layer 2025-09-07T07:51:33.9021335Z 0fea55428091: Waiting 2025-09-07T07:51:33.9021567Z b4291bccbb84: Waiting 2025-09-07T07:51:33.9021807Z ddc91b09189a: Waiting 2025-09-07T07:51:33.9022056Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:51:33.9022316Z 7540c7428627: Waiting 2025-09-07T07:51:33.9022564Z 5687149362ae: Pulling fs layer 2025-09-07T07:51:33.9022876Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:51:33.9023166Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:51:33.9023457Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:51:33.9023716Z 003c4e2598fb: Waiting 2025-09-07T07:51:33.9023959Z 5687149362ae: Waiting 2025-09-07T07:51:33.9024200Z cdd2cf54eb2a: Waiting 2025-09-07T07:51:33.9024448Z d3ad4df1ba3a: Waiting 2025-09-07T07:51:33.9024786Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:51:33.9025071Z 6623ea814971: Pulling fs layer 2025-09-07T07:51:33.9025347Z 31cf8d0bd21c: Waiting 2025-09-07T07:51:33.9025596Z 11696c3aa380: Pulling fs layer 2025-09-07T07:51:33.9025868Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:51:33.9026145Z 6623ea814971: Waiting 2025-09-07T07:51:33.9026383Z 11696c3aa380: Waiting 2025-09-07T07:51:33.9026628Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:51:33.9026890Z ef4d544e35ca: Waiting 2025-09-07T07:51:33.9027126Z 5c5108865e5e: Waiting 2025-09-07T07:51:33.9027377Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:51:33.9027660Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:51:33.9027922Z da5a91b54cb5: Waiting 2025-09-07T07:51:33.9028168Z 9e97578e9edf: Waiting 2025-09-07T07:51:33.9028415Z 1e93be219e89: Pulling fs layer 2025-09-07T07:51:33.9028698Z 136825afebb5: Pulling fs layer 2025-09-07T07:51:33.9028967Z 22b39805302d: Pulling fs layer 2025-09-07T07:51:33.9029245Z 1e93be219e89: Waiting 2025-09-07T07:51:33.9029491Z 22b39805302d: Waiting 2025-09-07T07:51:33.9029722Z 136825afebb5: Waiting 2025-09-07T07:51:33.9029974Z d12add675e35: Pulling fs layer 2025-09-07T07:51:33.9030261Z bc127046d33a: Pulling fs layer 2025-09-07T07:51:33.9030543Z 951e8ce83841: Pulling fs layer 2025-09-07T07:51:33.9030813Z 32340b97ae50: Pulling fs layer 2025-09-07T07:51:33.9031087Z d12add675e35: Waiting 2025-09-07T07:51:33.9031326Z 951e8ce83841: Waiting 2025-09-07T07:51:33.9031562Z bc127046d33a: Waiting 2025-09-07T07:51:33.9031804Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:51:33.9032094Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:51:33.9032367Z 32340b97ae50: Waiting 2025-09-07T07:51:33.9032616Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:51:33.9032885Z d8c4b845cfc7: Waiting 2025-09-07T07:51:33.9033128Z 5bbb04cd6b57: Waiting 2025-09-07T07:51:33.9033379Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:51:33.9033662Z 04770904f012: Pulling fs layer 2025-09-07T07:51:33.9033926Z 73373941fb32: Pulling fs layer 2025-09-07T07:51:33.9034204Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:51:33.9034484Z b35c180f4d8d: Waiting 2025-09-07T07:51:33.9034726Z 04770904f012: Waiting 2025-09-07T07:51:33.9034948Z 73373941fb32: Waiting 2025-09-07T07:51:33.9035201Z 64a544aba233: Pulling fs layer 2025-09-07T07:51:33.9035490Z 7e35418a2499: Pulling fs layer 2025-09-07T07:51:33.9035773Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:51:33.9036049Z c988fbcccd70: Pulling fs layer 2025-09-07T07:51:33.9036334Z 9572e6cd907b: Waiting 2025-09-07T07:51:33.9036575Z 64a544aba233: Waiting 2025-09-07T07:51:33.9036815Z 7e35418a2499: Waiting 2025-09-07T07:51:33.9037042Z 2ed8e82748d4: Waiting 2025-09-07T07:51:33.9037279Z c988fbcccd70: Waiting 2025-09-07T07:51:34.0495540Z 171dcef20c49: Verifying Checksum 2025-09-07T07:51:34.0496229Z 171dcef20c49: Download complete 2025-09-07T07:51:34.1992915Z 744f9ba90a65: Verifying Checksum 2025-09-07T07:51:34.1993309Z 744f9ba90a65: Download complete 2025-09-07T07:51:34.3209172Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:51:34.3209579Z e6fdc8487bfe: Download complete 2025-09-07T07:51:34.3560927Z d3c08322a332: Verifying Checksum 2025-09-07T07:51:34.3561326Z d3c08322a332: Download complete 2025-09-07T07:51:34.4946789Z ffd43b71f3cc: Download complete 2025-09-07T07:51:34.5052486Z 830692b57f6e: Verifying Checksum 2025-09-07T07:51:34.5053002Z 830692b57f6e: Download complete 2025-09-07T07:51:34.6510854Z 5bad36d18468: Verifying Checksum 2025-09-07T07:51:34.6511256Z 5bad36d18468: Download complete 2025-09-07T07:51:34.8063777Z 3c868a62868e: Verifying Checksum 2025-09-07T07:51:34.8064176Z 3c868a62868e: Download complete 2025-09-07T07:51:34.9736395Z 62170a22dd57: Verifying Checksum 2025-09-07T07:51:34.9736766Z 62170a22dd57: Download complete 2025-09-07T07:51:35.0886011Z e6fdc8487bfe: Pull complete 2025-09-07T07:51:35.1207875Z 553c1d23b6c4: Verifying Checksum 2025-09-07T07:51:35.1208265Z 553c1d23b6c4: Download complete 2025-09-07T07:51:35.1361775Z 171dcef20c49: Pull complete 2025-09-07T07:51:35.2976819Z 9408d557a804: Verifying Checksum 2025-09-07T07:51:35.2977195Z 9408d557a804: Download complete 2025-09-07T07:51:35.7557663Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T07:51:35.7558052Z 0e34fdd9ac5c: Download complete 2025-09-07T07:51:35.8052952Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:51:35.8053254Z 4f4fb700ef54: Download complete 2025-09-07T07:51:35.9682176Z 40a8e39faeda: Download complete 2025-09-07T07:51:36.6479262Z d895771c9fac: Verifying Checksum 2025-09-07T07:51:36.6479624Z d895771c9fac: Download complete 2025-09-07T07:51:36.8022013Z c4ee04f39d49: Verifying Checksum 2025-09-07T07:51:36.8022396Z c4ee04f39d49: Download complete 2025-09-07T07:51:37.0633684Z 3690c9826e48: Download complete 2025-09-07T07:51:37.1528312Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T07:51:37.1528820Z 4c92b3f72f1d: Download complete 2025-09-07T07:51:37.2012503Z 57cbc5013733: Verifying Checksum 2025-09-07T07:51:37.2013384Z 57cbc5013733: Download complete 2025-09-07T07:51:37.3070821Z f5f4b06b58bb: Download complete 2025-09-07T07:51:37.3458134Z f59713ce4bf4: Verifying Checksum 2025-09-07T07:51:37.3458802Z f59713ce4bf4: Download complete 2025-09-07T07:51:37.4813378Z fe0486521517: Download complete 2025-09-07T07:51:37.6462685Z d37c58456a6a: Download complete 2025-09-07T07:51:38.1529468Z d042f63abc13: Verifying Checksum 2025-09-07T07:51:38.1529968Z d042f63abc13: Download complete 2025-09-07T07:51:38.3156101Z 621284a9c05a: Download complete 2025-09-07T07:51:38.4684763Z 85f605d2dd3a: Verifying Checksum 2025-09-07T07:51:38.4685127Z 85f605d2dd3a: Download complete 2025-09-07T07:51:43.1742088Z 381b5539e598: Verifying Checksum 2025-09-07T07:51:43.1742626Z 381b5539e598: Download complete 2025-09-07T07:51:43.3283402Z a487c0c80029: Verifying Checksum 2025-09-07T07:51:43.3283778Z a487c0c80029: Download complete 2025-09-07T07:51:43.4763880Z 48bcb81e2566: Download complete 2025-09-07T07:51:43.6317138Z e261928c0043: Verifying Checksum 2025-09-07T07:51:43.6317549Z e261928c0043: Download complete 2025-09-07T07:51:43.7988122Z 0fea55428091: Verifying Checksum 2025-09-07T07:51:43.7988580Z 0fea55428091: Download complete 2025-09-07T07:51:44.1663238Z b4291bccbb84: Verifying Checksum 2025-09-07T07:51:44.1663847Z b4291bccbb84: Download complete 2025-09-07T07:51:44.3091993Z ddc91b09189a: Verifying Checksum 2025-09-07T07:51:44.3092602Z ddc91b09189a: Download complete 2025-09-07T07:51:44.4590506Z 7540c7428627: Download complete 2025-09-07T07:51:44.6084365Z 003c4e2598fb: Verifying Checksum 2025-09-07T07:51:44.6084814Z 003c4e2598fb: Download complete 2025-09-07T07:51:44.8150019Z 5687149362ae: Verifying Checksum 2025-09-07T07:51:44.8150416Z 5687149362ae: Download complete 2025-09-07T07:51:45.0257222Z cdd2cf54eb2a: Verifying Checksum 2025-09-07T07:51:45.0257727Z cdd2cf54eb2a: Download complete 2025-09-07T07:51:48.3263448Z 4c92b3f72f1d: Pull complete 2025-09-07T07:51:49.5598363Z 744f9ba90a65: Pull complete 2025-09-07T07:51:51.0285149Z d3c08322a332: Pull complete 2025-09-07T07:51:52.4568982Z ffd43b71f3cc: Pull complete 2025-09-07T07:51:54.4178355Z 830692b57f6e: Pull complete 2025-09-07T07:51:56.0323037Z 5bad36d18468: Pull complete 2025-09-07T07:52:08.6172535Z 0e34fdd9ac5c: Pull complete 2025-09-07T07:52:09.2541195Z 3c868a62868e: Pull complete 2025-09-07T07:52:09.7132453Z 62170a22dd57: Pull complete 2025-09-07T07:52:10.7114615Z 553c1d23b6c4: Pull complete 2025-09-07T07:52:11.9543635Z 9408d557a804: Pull complete 2025-09-07T07:53:12.3908226Z df607cfc7c07: Verifying Checksum 2025-09-07T07:53:12.3908685Z df607cfc7c07: Download complete 2025-09-07T07:53:12.6665279Z 3c9055753b4c: Verifying Checksum 2025-09-07T07:53:12.6665672Z 3c9055753b4c: Download complete 2025-09-07T07:53:16.3517605Z 31cf8d0bd21c: Verifying Checksum 2025-09-07T07:53:16.3518137Z 31cf8d0bd21c: Download complete 2025-09-07T07:53:25.4518503Z 8c21cc3715a2: Verifying Checksum 2025-09-07T07:53:25.4518930Z 8c21cc3715a2: Download complete 2025-09-07T07:53:25.6188767Z 11696c3aa380: Download complete 2025-09-07T07:53:25.7787638Z ef4d544e35ca: Verifying Checksum 2025-09-07T07:53:25.7788041Z ef4d544e35ca: Download complete 2025-09-07T07:53:25.9378289Z 5c5108865e5e: Verifying Checksum 2025-09-07T07:53:25.9378716Z 5c5108865e5e: Download complete 2025-09-07T07:53:26.1006457Z 9e97578e9edf: Verifying Checksum 2025-09-07T07:53:26.1006845Z 9e97578e9edf: Download complete 2025-09-07T07:53:26.2427110Z da5a91b54cb5: Verifying Checksum 2025-09-07T07:53:26.2427510Z da5a91b54cb5: Download complete 2025-09-07T07:53:26.3815699Z 1e93be219e89: Verifying Checksum 2025-09-07T07:53:26.3816101Z 1e93be219e89: Download complete 2025-09-07T07:53:26.8376088Z 136825afebb5: Verifying Checksum 2025-09-07T07:53:26.8376505Z 136825afebb5: Download complete 2025-09-07T07:53:26.9946443Z 22b39805302d: Download complete 2025-09-07T07:53:27.1450673Z d12add675e35: Download complete 2025-09-07T07:53:27.2991898Z bc127046d33a: Verifying Checksum 2025-09-07T07:53:27.2992323Z bc127046d33a: Download complete 2025-09-07T07:53:27.4393551Z 951e8ce83841: Verifying Checksum 2025-09-07T07:53:27.4393954Z 951e8ce83841: Download complete 2025-09-07T07:53:27.5972674Z 32340b97ae50: Verifying Checksum 2025-09-07T07:53:27.5973238Z 32340b97ae50: Download complete 2025-09-07T07:53:27.7366815Z 5bbb04cd6b57: Download complete 2025-09-07T07:53:27.8914352Z d8c4b845cfc7: Verifying Checksum 2025-09-07T07:53:27.8914744Z d8c4b845cfc7: Download complete 2025-09-07T07:53:30.4592311Z b35c180f4d8d: Verifying Checksum 2025-09-07T07:53:30.4592692Z b35c180f4d8d: Download complete 2025-09-07T07:53:30.6223559Z 5f967b3c303a: Download complete 2025-09-07T07:53:30.7820675Z 04770904f012: Verifying Checksum 2025-09-07T07:53:30.7821057Z 04770904f012: Download complete 2025-09-07T07:53:30.9357571Z 73373941fb32: Download complete 2025-09-07T07:53:31.0959469Z 9572e6cd907b: Verifying Checksum 2025-09-07T07:53:31.0959849Z 9572e6cd907b: Download complete 2025-09-07T07:53:31.3098344Z 64a544aba233: Download complete 2025-09-07T07:53:31.6282024Z 7e35418a2499: Download complete 2025-09-07T07:53:31.7912596Z 2ed8e82748d4: Verifying Checksum 2025-09-07T07:53:31.7912990Z 2ed8e82748d4: Download complete 2025-09-07T07:53:32.7746787Z c988fbcccd70: Verifying Checksum 2025-09-07T07:53:32.7747207Z c988fbcccd70: Download complete 2025-09-07T08:05:24.2069567Z 6623ea814971: Verifying Checksum 2025-09-07T08:05:24.2069955Z 6623ea814971: Download complete 2025-09-07T08:09:10.4140616Z d3ad4df1ba3a: Verifying Checksum 2025-09-07T08:09:10.4141015Z d3ad4df1ba3a: Download complete 2025-09-07T08:10:31.2219377Z df607cfc7c07: Pull complete 2025-09-07T08:10:34.3244168Z 4f4fb700ef54: Pull complete 2025-09-07T08:10:38.0397968Z 40a8e39faeda: Pull complete 2025-09-07T08:10:44.3195471Z d895771c9fac: Pull complete 2025-09-07T08:10:48.0308002Z c4ee04f39d49: Pull complete 2025-09-07T08:10:51.2168757Z 3690c9826e48: Pull complete 2025-09-07T08:10:54.3661144Z 57cbc5013733: Pull complete 2025-09-07T08:10:56.7413814Z f5f4b06b58bb: Pull complete 2025-09-07T08:10:59.6776174Z f59713ce4bf4: Pull complete 2025-09-07T08:11:03.8411749Z fe0486521517: Pull complete 2025-09-07T08:23:24.6151545Z 8c21cc3715a2: Pull complete 2025-09-07T08:23:27.5895424Z d37c58456a6a: Pull complete 2025-09-07T08:23:34.6290235Z d042f63abc13: Pull complete 2025-09-07T08:23:38.1223113Z 621284a9c05a: Pull complete 2025-09-07T08:23:41.5900475Z 85f605d2dd3a: Pull complete 2025-09-07T08:24:25.8158051Z 381b5539e598: Pull complete 2025-09-07T08:24:28.2582800Z a487c0c80029: Pull complete 2025-09-07T08:24:30.4588968Z 48bcb81e2566: Pull complete 2025-09-07T08:24:35.4762795Z e261928c0043: Pull complete 2025-09-07T08:24:38.2941634Z 0fea55428091: Pull complete 2025-09-07T08:24:42.7199099Z b4291bccbb84: Pull complete 2025-09-07T08:24:46.1061171Z ddc91b09189a: Pull complete 2025-09-07T08:24:49.2668562Z 7540c7428627: Pull complete 2025-09-07T08:24:54.6437074Z 003c4e2598fb: Pull complete 2025-09-07T08:24:57.3517530Z 5687149362ae: Pull complete 2025-09-07T08:25:00.1189622Z cdd2cf54eb2a: Pull complete 2025-09-07T08:45:33.9317793Z d3ad4df1ba3a: Pull complete 2025-09-07T08:45:36.7919592Z 3c9055753b4c: Pull complete 2025-09-07T08:45:41.2265756Z 31cf8d0bd21c: Pull complete 2025-09-07T08:51:38.8340206Z 6623ea814971: Pull complete 2025-09-07T08:51:42.1346195Z 11696c3aa380: Pull complete 2025-09-07T08:51:44.8050902Z ef4d544e35ca: Pull complete 2025-09-07T08:51:50.5353278Z 5c5108865e5e: Pull complete 2025-09-07T08:51:57.5525828Z 9e97578e9edf: Pull complete 2025-09-07T08:52:01.0483974Z da5a91b54cb5: Pull complete 2025-09-07T08:52:08.9510944Z 1e93be219e89: Pull complete 2025-09-07T08:52:15.7883638Z 136825afebb5: Pull complete 2025-09-07T08:52:19.1431769Z 22b39805302d: Pull complete 2025-09-07T08:52:24.4450532Z d12add675e35: Pull complete 2025-09-07T08:52:28.4198840Z bc127046d33a: Pull complete 2025-09-07T08:52:35.8818443Z 951e8ce83841: Pull complete 2025-09-07T08:52:38.9675501Z 32340b97ae50: Pull complete 2025-09-07T08:52:46.7098933Z 5bbb04cd6b57: Pull complete 2025-09-07T08:52:49.1279561Z d8c4b845cfc7: Pull complete 2025-09-07T08:53:28.9572029Z b35c180f4d8d: Pull complete 2025-09-07T08:53:32.0695602Z 5f967b3c303a: Pull complete 2025-09-07T08:53:34.7040809Z 04770904f012: Pull complete 2025-09-07T08:53:37.6351015Z 73373941fb32: Pull complete 2025-09-07T08:53:40.6269401Z 9572e6cd907b: Pull complete 2025-09-07T08:53:43.6034819Z 64a544aba233: Pull complete 2025-09-07T08:53:50.3036896Z 7e35418a2499: Pull complete 2025-09-07T08:53:53.7130303Z 2ed8e82748d4: Pull complete 2025-09-07T08:54:01.0622982Z c988fbcccd70: Pull complete 2025-09-07T08:54:05.3703626Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T08:54:06.0550698Z 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 2025-09-07T08:54:06.1731432Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:54:06.1941382Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:54:06.1942404Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:54:06.1955688Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:54:06.1956084Z env: 2025-09-07T08:54:06.1956308Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:06.1956576Z ##[endgroup] 2025-09-07T08:54:06.6104060Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:54:06.6104782Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:54:06.6117506Z shell: /usr/bin/bash -e {0} 2025-09-07T08:54:06.6117804Z env: 2025-09-07T08:54:06.6118031Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:06.6118303Z ##[endgroup] 2025-09-07T08:54:06.9592773Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:54:06.9593680Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:54:06.9606147Z shell: /usr/bin/bash -e {0} 2025-09-07T08:54:06.9606454Z env: 2025-09-07T08:54:06.9606677Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:06.9607023Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:54:06.9607380Z ##[endgroup] 2025-09-07T08:54:07.6184749Z Prepare all required actions 2025-09-07T08:54:07.6625219Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:54:07.6625597Z with: 2025-09-07T08:54:07.6626056Z github-token: *** 2025-09-07T08:54:07.6626283Z env: 2025-09-07T08:54:07.6626510Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:07.6626857Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:54:07.6627331Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:54:07.6627751Z ##[endgroup] 2025-09-07T08:54:07.7163879Z ##[group]Run set -eux 2025-09-07T08:54:07.7164186Z set -eux 2025-09-07T08:54:07.7164648Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:54:07.7180806Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:54:07.7181195Z env: 2025-09-07T08:54:07.7181424Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:07.7181769Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:54:07.7182296Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:54:07.7182914Z GITHUB_TOKEN: *** 2025-09-07T08:54:07.7183152Z ##[endgroup] 2025-09-07T08:54:07.7675235Z + python3 .github/scripts/get_workflow_job_id.py 17525309334 i-01a21955dc3821a00-1003 2025-09-07T08:54:08.8823473Z Setting output job-id=49775768434 2025-09-07T08:54:08.8824216Z Setting output job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T08:54:09.2582203Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:54:09.2582968Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:54:09.2583964Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:54:09.2584962Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:54:09.2597735Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:54:09.2598142Z env: 2025-09-07T08:54:09.2598376Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:09.2598723Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:54:09.2599196Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:54:09.2599584Z JOB_ID: 49775768434 2025-09-07T08:54:09.2600061Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T08:54:09.2600601Z WORKFLOW_NAME: inductor-A100-perf-nightly 2025-09-07T08:54:09.2600934Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T08:54:09.2601227Z MONITOR_LOG_INTERVAL: 15 2025-09-07T08:54:09.2601511Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T08:54:09.2601806Z ##[endgroup] 2025-09-07T08:54:09.5835323Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:54:10.6543614Z Collecting psutil==5.9.8 2025-09-07T08:54:10.8904344Z 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) 2025-09-07T08:54:11.5884832Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 721.4 kB/s eta 0:00:00 2025-09-07T08:54:11.9932084Z Collecting dataclasses_json==0.6.7 2025-09-07T08:54:12.0055219Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:54:12.4662872Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:54:12.4783414Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:54:13.0638314Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:54:13.0760478Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:54:13.7930798Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:54:13.8053477Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:54:14.0774846Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 150.6 kB/s eta 0:00:00 2025-09-07T08:54:14.8615930Z Collecting packaging>=17.0 2025-09-07T08:54:14.8735980Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:54:15.3244560Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 125.3 kB/s eta 0:00:00 2025-09-07T08:54:15.7222065Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:54:15.7346305Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:54:16.4705117Z Collecting typing-extensions>=3.7.4 2025-09-07T08:54:16.5821459Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:54:16.8786771Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 116.8 kB/s eta 0:00:00 2025-09-07T08:54:16.9493397Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T08:54:21.2092983Z 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 2025-09-07T08:54:21.2787358Z Prepare all required actions 2025-09-07T08:54:21.2787761Z Getting action download info 2025-09-07T08:54:21.4542744Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:54:24.0453765Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:54:32.1674667Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:54:32.1675087Z with: 2025-09-07T08:54:32.1675346Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:54:32.1675684Z s3-bucket: gha-artifacts 2025-09-07T08:54:32.1675950Z env: 2025-09-07T08:54:32.1676165Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:32.1676508Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:54:32.1676961Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:54:32.1677358Z ##[endgroup] 2025-09-07T08:54:32.2218391Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:54:32.2218759Z with: 2025-09-07T08:54:32.2219008Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:54:32.2219489Z s3-bucket: gha-artifacts 2025-09-07T08:54:32.2219772Z region: us-east-1 2025-09-07T08:54:32.2219990Z env: 2025-09-07T08:54:32.2220209Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:32.2220548Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:54:32.2221012Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:54:32.2221516Z ##[endgroup] 2025-09-07T08:54:32.6997626Z (node:9548) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:54:32.6998167Z 2025-09-07T08:54:32.6998364Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:54:32.6998930Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:54:32.6999519Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:54:32.8245340Z Found 1 objects with prefix pytorch/pytorch/17525309334/linux-jammy-cuda12.8-py3.10-gcc9-sm80/ 2025-09-07T08:54:32.8246057Z Starting download (1/1): /home/charlie/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:54:41.3528639Z Finished download (1/1): /home/charlie/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:54:41.3538053Z Artifact download has finished successfully 2025-09-07T08:54:41.3767558Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:54:41.3767917Z unzip -o artifacts.zip 2025-09-07T08:54:41.3781085Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:54:41.3781482Z env: 2025-09-07T08:54:41.3781713Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:41.3782064Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:54:41.3782532Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:54:41.3782921Z ##[endgroup] 2025-09-07T08:54:41.4259278Z Archive: artifacts.zip 2025-09-07T08:54:41.4261059Z creating: dist/ 2025-09-07T08:54:43.7145357Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:54:43.7145862Z creating: dist/vision/ 2025-09-07T08:54:43.7265655Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:54:43.7266190Z creating: dist/audio/ 2025-09-07T08:54:43.7323115Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:54:43.7323639Z creating: dist/torchrec/ 2025-09-07T08:54:43.7349896Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:54:43.7350320Z creating: dist/fbgemm_gpu/ 2025-09-07T08:54:44.6332539Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:54:44.6333198Z creating: dist/ao/ 2025-09-07T08:54:44.6375078Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T08:54:44.6504917Z inflating: dist/.ninja_log 2025-09-07T08:54:44.6505672Z creating: build/custom_test_artifacts/ 2025-09-07T08:54:44.6506495Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T08:54:44.6507018Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T08:54:44.6507643Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T08:54:44.6514051Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T08:54:44.6514748Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T08:54:44.6515457Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-09-07T08:54:44.6516204Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-09-07T08:54:44.6516925Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-09-07T08:54:44.6517738Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/CMakeCCompilerId.c 2025-09-07T08:54:44.6518920Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/a.out 2025-09-07T08:54:44.6519717Z inflating: 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inflating: build/bin/reportMemoryUsage_test 2025-09-07T08:54:56.9214950Z inflating: build/bin/quantized_test 2025-09-07T08:54:56.9275616Z inflating: build/bin/scalar_tensor_test 2025-09-07T08:54:56.9338853Z inflating: build/bin/scalar_test 2025-09-07T08:54:56.9394038Z inflating: build/bin/StorageUtils_test 2025-09-07T08:54:56.9450208Z inflating: build/bin/stride_properties_test 2025-09-07T08:54:56.9533413Z inflating: build/bin/tensor_iterator_test 2025-09-07T08:54:56.9587576Z inflating: build/bin/thread_init_test 2025-09-07T08:54:56.9645572Z inflating: build/bin/test_parallel 2025-09-07T08:54:56.9704626Z inflating: build/bin/type_ptr_test 2025-09-07T08:54:56.9767891Z inflating: build/bin/type_test 2025-09-07T08:54:56.9824545Z inflating: build/bin/undefined_tensor_test 2025-09-07T08:54:56.9877563Z inflating: build/bin/verify_api_visibility 2025-09-07T08:54:56.9951588Z inflating: build/bin/legacy_vmap_test 2025-09-07T08:54:57.0006491Z inflating: build/bin/weakref_test 2025-09-07T08:54:57.0061468Z inflating: build/bin/wrapdim_test 2025-09-07T08:54:57.0116648Z inflating: build/bin/xla_tensor_test 2025-09-07T08:54:57.0180434Z inflating: build/bin/IListRef_test 2025-09-07T08:54:57.0291109Z inflating: build/bin/List_test 2025-09-07T08:54:57.0361126Z inflating: build/bin/KernelFunction_test 2025-09-07T08:54:57.0488135Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T08:54:57.0588375Z inflating: build/bin/kernel_function_test 2025-09-07T08:54:57.0720706Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T08:54:57.0828819Z inflating: build/bin/kernel_lambda_test 2025-09-07T08:54:57.0894534Z inflating: build/bin/kernel_stackbased_test 2025-09-07T08:54:57.0997260Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T08:54:57.1051959Z inflating: build/bin/CppSignature_test 2025-09-07T08:54:57.1112986Z inflating: build/bin/backend_fallback_test 2025-09-07T08:54:57.1164920Z inflating: build/bin/op_allowlist_test 2025-09-07T08:54:57.1470435Z inflating: build/bin/op_registration_test 2025-09-07T08:54:57.1540775Z inflating: build/bin/inline_container_test 2025-09-07T08:54:57.1596871Z inflating: build/bin/cuda_apply_test 2025-09-07T08:54:57.1660843Z inflating: build/bin/cuda_atomic_ops_test 2025-09-07T08:54:57.1717324Z inflating: build/bin/cuda_allocator_test 2025-09-07T08:54:57.1777891Z inflating: build/bin/cuda_caching_host_allocator_test 2025-09-07T08:54:57.1851601Z inflating: build/bin/cuda_complex_math_test 2025-09-07T08:54:57.1914616Z inflating: build/bin/cuda_complex_test 2025-09-07T08:54:57.1980323Z inflating: build/bin/cuda_cub_test 2025-09-07T08:54:57.2034249Z inflating: build/bin/cuda_device_test 2025-09-07T08:54:57.2103059Z inflating: build/bin/cuda_distributions_test 2025-09-07T08:54:57.2159003Z inflating: build/bin/cuda_dlconvertor_test 2025-09-07T08:54:57.2212630Z inflating: build/bin/cuda_exchange_device_test 2025-09-07T08:54:57.2273162Z inflating: build/bin/cuda_generator_test 2025-09-07T08:54:57.2327238Z inflating: build/bin/cuda_half_test 2025-09-07T08:54:57.2383178Z inflating: build/bin/cuda_integer_divider_test 2025-09-07T08:54:57.2436548Z inflating: build/bin/cuda_optional_test 2025-09-07T08:54:57.2492298Z inflating: build/bin/cuda_reportMemoryUsage_test 2025-09-07T08:54:57.2547829Z inflating: build/bin/cuda_packedtensoraccessor_test 2025-09-07T08:54:57.2600877Z inflating: build/bin/cuda_allocatorTraceTracker_test 2025-09-07T08:54:57.2665559Z inflating: build/bin/cuda_stream_test 2025-09-07T08:54:57.2722734Z inflating: build/bin/cuda_vectorized_test 2025-09-07T08:54:57.2776333Z inflating: build/bin/cuda_cudnn_test 2025-09-07T08:54:57.3166262Z inflating: build/bin/test_nativert 2025-09-07T08:54:57.3224667Z inflating: build/bin/test_dist_autograd 2025-09-07T08:54:57.3297586Z inflating: build/bin/test_cpp_rpc 2025-09-07T08:54:57.4499771Z inflating: build/bin/test_api 2025-09-07T08:54:57.4501480Z inflating: build/bin/parallel_benchmark 2025-09-07T08:54:57.4568735Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T08:54:57.4635235Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T08:54:57.5756960Z inflating: build/bin/test_jit 2025-09-07T08:54:57.5826366Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T08:54:57.5888203Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T08:54:57.6242985Z inflating: build/bin/test_lazy 2025-09-07T08:54:57.6246885Z inflating: build/bin/torch_shm_manager 2025-09-07T08:54:57.6247471Z creating: .additional_ci_files/ 2025-09-07T08:54:57.6337395Z inflating: .additional_ci_files/test-times.json 2025-09-07T08:54:57.6676130Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T08:54:57.6807982Z ##[group]Run rm artifacts.zip 2025-09-07T08:54:57.6808306Z rm artifacts.zip 2025-09-07T08:54:57.6820931Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:54:57.6821326Z env: 2025-09-07T08:54:57.6821535Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:54:57.6821879Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:54:57.6822360Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:54:57.6822755Z ##[endgroup] 2025-09-07T08:55:48.9023957Z ##[group]Run df -H 2025-09-07T08:55:48.9024233Z df -H 2025-09-07T08:55:48.9037165Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:55:48.9037566Z env: 2025-09-07T08:55:48.9037793Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:48.9038129Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:48.9038605Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:48.9039022Z ##[endgroup] 2025-09-07T08:55:48.9557682Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:55:48.9558094Z overlay 5.3T 604G 4.6T 12% / 2025-09-07T08:55:48.9558425Z tmpfs 68M 0 68M 0% /dev 2025-09-07T08:55:48.9558747Z shm 68M 0 68M 0% /dev/shm 2025-09-07T08:55:48.9559137Z /dev/root 5.3T 604G 4.6T 12% /home/charlie/_work 2025-09-07T08:55:48.9559565Z tmpfs 121G 111k 121G 1% /run/docker.sock 2025-09-07T08:55:48.9560112Z tmpfs 603G 13k 603G 1% /proc/driver/nvidia 2025-09-07T08:55:48.9560579Z tmpfs 241G 1.7M 241G 1% /run/.ro3764304265/nvidia-persistenced/socket 2025-09-07T08:55:48.9561045Z tmpfs 603G 0 603G 0% /proc/acpi 2025-09-07T08:55:48.9561412Z tmpfs 603G 0 603G 0% /proc/scsi 2025-09-07T08:55:48.9561771Z tmpfs 603G 0 603G 0% /sys/firmware 2025-09-07T08:55:48.9594534Z Prepare all required actions 2025-09-07T08:55:48.9595565Z Getting action download info 2025-09-07T08:55:49.1912593Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:55:49.1912960Z with: 2025-09-07T08:55:49.1913166Z env: 2025-09-07T08:55:49.1913390Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:49.1913726Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:49.1914200Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:49.1914604Z ##[endgroup] 2025-09-07T08:55:49.2482074Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:55:49.2482415Z with: 2025-09-07T08:55:49.2482637Z name: td_results 2025-09-07T08:55:49.2482890Z s3-bucket: gha-artifacts 2025-09-07T08:55:49.2483167Z region: us-east-1 2025-09-07T08:55:49.2483386Z env: 2025-09-07T08:55:49.2483606Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:49.2483952Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:49.2484539Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:49.2484953Z ##[endgroup] 2025-09-07T08:55:49.7120555Z (node:9577) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:55:49.7121073Z 2025-09-07T08:55:49.7121286Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:55:49.7121835Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:55:49.7122422Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:55:49.8284306Z Found 0 objects with prefix pytorch/pytorch/17525309334/td_results/ 2025-09-07T08:55:49.8290165Z Artifact download has finished successfully 2025-09-07T08:55:49.8911938Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:55:49.8912331Z mkdir -p .additional_ci_files 2025-09-07T08:55:49.8912783Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:55:49.8925718Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:55:49.8926127Z env: 2025-09-07T08:55:49.8926349Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:49.8926692Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:49.8927162Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:49.8927548Z ##[endgroup] 2025-09-07T08:55:49.9211545Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:55:49.9364547Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:55:49.9364940Z .github/scripts/parse_ref.py 2025-09-07T08:55:49.9376722Z shell: /usr/bin/bash -e {0} 2025-09-07T08:55:49.9377021Z env: 2025-09-07T08:55:49.9377247Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:49.9377593Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:49.9378054Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:49.9378453Z ##[endgroup] 2025-09-07T08:55:50.0068810Z Setting output branch=main 2025-09-07T08:55:50.0196815Z Prepare all required actions 2025-09-07T08:55:50.0197240Z Getting action download info 2025-09-07T08:55:50.2530240Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:55:50.2530638Z with: 2025-09-07T08:55:50.2531056Z github-token: *** 2025-09-07T08:55:50.2537079Z 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"}]} 2025-09-07T08:55:50.2543484Z job-name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T08:55:50.2543968Z env: 2025-09-07T08:55:50.2544184Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:50.2544527Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:50.2545062Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:50.2545451Z ##[endgroup] 2025-09-07T08:55:50.3296195Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:55:50.3296516Z with: 2025-09-07T08:55:50.3296710Z shell: bash 2025-09-07T08:55:50.3296938Z timeout_minutes: 10 2025-09-07T08:55:50.3297193Z max_attempts: 5 2025-09-07T08:55:50.3297433Z retry_wait_seconds: 30 2025-09-07T08:55:50.3298246Z 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 2025-09-07T08:55:50.3299127Z polling_interval_seconds: 1 2025-09-07T08:55:50.3299425Z warning_on_retry: true 2025-09-07T08:55:50.3299694Z continue_on_error: false 2025-09-07T08:55:50.3299954Z env: 2025-09-07T08:55:50.3300174Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:50.3300498Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:50.3300966Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:50.3301548Z GITHUB_TOKEN: *** 2025-09-07T08:55:50.3301790Z ##[endgroup] 2025-09-07T08:55:50.4064001Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:55:50.7114718Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:55:51.3446527Z Collecting requests==2.27.1 2025-09-07T08:55:51.4237701Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:55:51.9531229Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 100.5 kB/s eta 0:00:00 2025-09-07T08:55:52.5809429Z Collecting pyyaml==6.0.2 2025-09-07T08:55:52.5933422Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T08:55:53.1368961Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 1.4 MB/s eta 0:00:00 2025-09-07T08:55:53.1511538Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T08:55:53.1519596Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T08:55:53.1530236Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T08:55:53.9080352Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:55:53.9203463Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:55:54.5037628Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T08:55:55.6270897Z WARNING: The script normalizer is installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T08:55:55.6272189Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T08:55:57.3833410Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:55:58.4114420Z Command completed after 1 attempt(s). 2025-09-07T08:55:58.4536878Z ##[group]Run set -x 2025-09-07T08:55:58.4537162Z set -x 2025-09-07T08:55:58.4537395Z  2025-09-07T08:55:58.4537785Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:55:58.4538293Z # in runner workspace 2025-09-07T08:55:58.4538691Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:55:58.4551588Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:55:58.4551989Z env: 2025-09-07T08:55:58.4552202Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:58.4552566Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:58.4553038Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:58.4553456Z ##[endgroup] 2025-09-07T08:55:58.5089821Z + python3 /home/charlie/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:55:58.5241510Z Setting output branch=main 2025-09-07T08:55:58.5627346Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:55:58.5627810Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:55:58.5628158Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:55:58.5628452Z  2025-09-07T08:55:58.5628846Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:55:58.5629345Z # in runner workspace 2025-09-07T08:55:58.5629788Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:55:58.5630284Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:55:58.5630631Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:55:58.5636627Z  --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"}]}" \ 2025-09-07T08:55:58.5642708Z  --selected-test-configs "" \ 2025-09-07T08:55:58.5643060Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:55:58.5643396Z  --tag "${TAG}" \ 2025-09-07T08:55:58.5643838Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:55:58.5644163Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:55:58.5644484Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:55:58.5656937Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:55:58.5657337Z env: 2025-09-07T08:55:58.5657564Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:58.5657892Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:58.5658357Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:58.5658990Z GITHUB_TOKEN: *** 2025-09-07T08:55:58.5659409Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T08:55:58.5659898Z PR_NUMBER: 2025-09-07T08:55:58.5660107Z TAG: 2025-09-07T08:55:58.5660321Z EVENT_NAME: schedule 2025-09-07T08:55:58.5660576Z SCHEDULE: 0 7 * * 0 2025-09-07T08:55:58.5660825Z HEAD_BRANCH: main 2025-09-07T08:55:58.5661057Z ##[endgroup] 2025-09-07T08:55:58.6172146Z Workflow: inductor-A100-perf-nightly 2025-09-07T08:55:58.6172671Z Job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T08:55:58.8374566Z Setting output keep-going=True 2025-09-07T08:55:58.8374937Z Setting output ci-verbose-test-logs=False 2025-09-07T08:55:58.8375303Z Setting output ci-test-showlocals=False 2025-09-07T08:55:58.8375651Z Setting output ci-no-test-timeout=False 2025-09-07T08:55:58.8375988Z Setting output ci-no-td=False 2025-09-07T08:55:58.8376294Z Setting output ci-td-distributed=False 2025-09-07T08:55:58.8376632Z Setting output is-unstable=False 2025-09-07T08:55:58.8376947Z Setting output reenabled-issues= 2025-09-07T08:55:58.8383299Z 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"}]} 2025-09-07T08:55:58.8389530Z Setting output is-test-matrix-empty=False 2025-09-07T08:55:58.8646558Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:55:58.8646918Z echo "Filtered matrix:" 2025-09-07T08:55:58.8652686Z 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"}]}" 2025-09-07T08:55:58.8659163Z  2025-09-07T08:55:58.8659379Z echo 2025-09-07T08:55:58.8659665Z echo "Is the current job unstable? False" 2025-09-07T08:55:58.8660014Z  2025-09-07T08:55:58.8660210Z echo 2025-09-07T08:55:58.8660472Z echo "Is keep-going label set? True" 2025-09-07T08:55:58.8660801Z  2025-09-07T08:55:58.8661008Z echo 2025-09-07T08:55:58.8661238Z echo "Reenabled issues? " 2025-09-07T08:55:58.8673476Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:55:58.8673892Z env: 2025-09-07T08:55:58.8674118Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:58.8674468Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:58.8674924Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:58.8675326Z ##[endgroup] 2025-09-07T08:55:58.9223769Z Filtered matrix: 2025-09-07T08:55:58.9230707Z {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}]} 2025-09-07T08:55:58.9236506Z 2025-09-07T08:55:58.9236643Z Is the current job unstable? False 2025-09-07T08:55:58.9236987Z 2025-09-07T08:55:58.9237096Z Is keep-going label set? True 2025-09-07T08:55:58.9237300Z 2025-09-07T08:55:58.9237397Z Reenabled issues? 2025-09-07T08:55:58.9749247Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:55:58.9749788Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:55:58.9761283Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:55:58.9761666Z env: 2025-09-07T08:55:58.9761899Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:58.9762243Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:58.9762714Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:58.9763103Z JOB_TIMEOUT: 1440 2025-09-07T08:55:58.9763348Z ##[endgroup] 2025-09-07T08:55:59.0823111Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:55:59.0823655Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:55:59.0824128Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:55:59.0835660Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:55:59.0836058Z env: 2025-09-07T08:55:59.0836278Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:59.0836622Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:59.0837075Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:59.0837477Z ##[endgroup] 2025-09-07T08:55:59.1929515Z ##[group]Run set -x 2025-09-07T08:55:59.1929871Z set -x 2025-09-07T08:55:59.1930100Z  2025-09-07T08:55:59.1930348Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:55:59.1930755Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:55:59.1931166Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:55:59.1931540Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:55:59.1931852Z else 2025-09-07T08:55:59.1932108Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:55:59.1932429Z fi 2025-09-07T08:55:59.1932640Z  2025-09-07T08:55:59.1933112Z # Leaving 1GB for the runner and other things 2025-09-07T08:55:59.1933703Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:55:59.1934630Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:55:59.1935365Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:55:59.1935901Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:55:59.1936335Z  2025-09-07T08:55:59.1936604Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:55:59.1936963Z  SHM_OPTS= 2025-09-07T08:55:59.1937200Z  JENKINS_USER= 2025-09-07T08:55:59.1937558Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:55:59.1938061Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:55:59.1938475Z  # when job is cancelled 2025-09-07T08:55:59.1938796Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:55:59.1939092Z else 2025-09-07T08:55:59.1939347Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:55:59.1939693Z  JENKINS_USER="--user jenkins" 2025-09-07T08:55:59.1940019Z  DOCKER_SHELL_CMD= 2025-09-07T08:55:59.1940279Z fi 2025-09-07T08:55:59.1940490Z  2025-09-07T08:55:59.1940836Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:55:59.1941390Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:55:59.1942009Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:55:59.1942557Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:55:59.1943100Z container_name=$(docker run \ 2025-09-07T08:55:59.1943419Z  ${GPU_FLAG:-} \ 2025-09-07T08:55:59.1943731Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:55:59.1944077Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:55:59.1944386Z  -e PR_NUMBER \ 2025-09-07T08:55:59.1944668Z  -e GITHUB_ACTIONS \ 2025-09-07T08:55:59.1945062Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:55:59.1945370Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:55:59.1945672Z  -e GITHUB_JOB \ 2025-09-07T08:55:59.1945954Z  -e GITHUB_RUN_ID \ 2025-09-07T08:55:59.1946246Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:55:59.1946539Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:55:59.1946842Z  -e JOB_ID \ 2025-09-07T08:55:59.1947099Z  -e JOB_NAME \ 2025-09-07T08:55:59.1947365Z  -e BASE_SHA \ 2025-09-07T08:55:59.1947612Z  -e BRANCH \ 2025-09-07T08:55:59.1947864Z  -e SHA1 \ 2025-09-07T08:55:59.1948126Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:55:59.1948432Z  -e IN_WHEEL_TEST \ 2025-09-07T08:55:59.1948705Z  -e SHARD_NUMBER \ 2025-09-07T08:55:59.1948987Z  -e TEST_CONFIG \ 2025-09-07T08:55:59.1949267Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:55:59.1949566Z  -e REENABLED_ISSUES \ 2025-09-07T08:55:59.1949866Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:55:59.1950342Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:55:59.1950655Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:55:59.1950949Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:55:59.1951222Z  -e NO_TD \ 2025-09-07T08:55:59.1951482Z  -e TD_DISTRIBUTED \ 2025-09-07T08:55:59.1951768Z  -e PR_LABELS \ 2025-09-07T08:55:59.1952073Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:55:59.1952403Z  -e SCCACHE_BUCKET \ 2025-09-07T08:55:59.1952692Z  -e SCCACHE_REGION \ 2025-09-07T08:55:59.1953190Z  -e XLA_CUDA \ 2025-09-07T08:55:59.1953496Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:55:59.1953868Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:55:59.1954238Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:55:59.1954621Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:55:59.1954979Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:55:59.1955324Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:55:59.1955665Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:55:59.1955998Z  -e DASHBOARD_TAG \ 2025-09-07T08:55:59.1956293Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:55:59.1956670Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:55:59.1957088Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:55:59.1957515Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:55:59.1957920Z  --security-opt seccomp=unconfined \ 2025-09-07T08:55:59.1958281Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:55:59.1958583Z  --ipc=host \ 2025-09-07T08:55:59.1958835Z  ${SHM_OPTS} \ 2025-09-07T08:55:59.1959101Z  --tty \ 2025-09-07T08:55:59.1959343Z  --detach \ 2025-09-07T08:55:59.1959613Z  --name="${container_name}" \ 2025-09-07T08:55:59.1959922Z  ${JENKINS_USER} \ 2025-09-07T08:55:59.1960288Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:55:59.1960702Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:55:59.1961035Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:55:59.1961309Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:55:59.1961583Z ) 2025-09-07T08:55:59.1961881Z # Propagate download.pytorch.org IP to container 2025-09-07T08:55:59.1962574Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:55:59.1963454Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:55:59.1963867Z  2025-09-07T08:55:59.1964141Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:55:59.1964740Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:55:59.1965285Z fi 2025-09-07T08:55:59.1965486Z  2025-09-07T08:55:59.1965993Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:55:59.1977878Z shell: /usr/bin/bash -e {0} 2025-09-07T08:55:59.1978168Z env: 2025-09-07T08:55:59.1978391Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:55:59.1978727Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:55:59.1979196Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T08:55:59.1979686Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:55:59.1980081Z PR_NUMBER: 2025-09-07T08:55:59.1980320Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:55:59.1980668Z GITHUB_WORKFLOW: inductor-A100-perf-nightly 2025-09-07T08:55:59.1981001Z GITHUB_JOB: test 2025-09-07T08:55:59.1981250Z GITHUB_RUN_ID: 17525309334 2025-09-07T08:55:59.1981515Z GITHUB_RUN_NUMBER: 5418 2025-09-07T08:55:59.1981783Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:55:59.1982034Z JOB_ID: 49775768434 2025-09-07T08:55:59.1982619Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T08:55:59.1983109Z BRANCH: main 2025-09-07T08:55:59.1983354Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:55:59.1983735Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:55:59.1984097Z TEST_CONFIG: inductor_timm_perf 2025-09-07T08:55:59.1984391Z SHARD_NUMBER: 4 2025-09-07T08:55:59.1984612Z NUM_TEST_SHARDS: 6 2025-09-07T08:55:59.1984855Z REENABLED_ISSUES: 2025-09-07T08:55:59.1985216Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:55:59.1985512Z VERBOSE_TEST_LOGS: False 2025-09-07T08:55:59.1985776Z TEST_SHOWLOCALS: False 2025-09-07T08:55:59.1986044Z NO_TEST_TIMEOUT: False 2025-09-07T08:55:59.1986299Z NO_TD: False 2025-09-07T08:55:59.1986530Z TD_DISTRIBUTED: False 2025-09-07T08:55:59.1986834Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:55:59.1987205Z SCCACHE_REGION: us-east-1 2025-09-07T08:55:59.1987477Z SHM_SIZE: 2g 2025-09-07T08:55:59.1988408Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:55:59.1989389Z XLA_CUDA: 2025-09-07T08:55:59.1989776Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:55:59.1990373Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:55:59.1990713Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:55:59.1992047Z DASHBOARD_TAG: training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T08:55:59.1993595Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:55:59.1994000Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:55:59.1994425Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:55:59.1994884Z ARTIFACTS_FILE_SUFFIX: test-inductor_timm_perf-4-6-linux.aws.a100_49775768434 2025-09-07T08:55:59.1995357Z ##[endgroup] 2025-09-07T08:55:59.2264997Z + [[ inductor_timm_perf == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:55:59.2265405Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *onnx* ]] 2025-09-07T08:55:59.2265780Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:55:59.2268558Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:55:59.2276891Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1120.797 ' 2025-09-07T08:55:59.2277241Z + TOTAL_MEMORY_WITH_SWAP=1123 2025-09-07T08:55:59.2277601Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T08:55:59.2278166Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:55:59.2278434Z + JENKINS_USER='--user jenkins' 2025-09-07T08:55:59.2278697Z + DOCKER_SHELL_CMD= 2025-09-07T08:55:59.2285748Z +++ nproc --ignore=2 2025-09-07T08:55:59.2299754Z ++ 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 2025-09-07T09:13:38.5450972Z + container_name=9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T09:13:38.5453431Z + grep download.pytorch.org /etc/hosts 2025-09-07T09:13:38.5455281Z + docker exec -i 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T09:13:38.6161830Z + echo DOCKER_CONTAINER_ID=9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T09:13:38.6163105Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T09:13:38.6165808Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:13:38.6168202Z + docker exec -t 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T09:13:39.0245816Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T09:13:39.8478414Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T09:13:39.8482140Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T09:13:39.8486857Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T09:13:39.8491451Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T09:13:39.8495505Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T09:13:39.8500153Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T09:13:39.8514044Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T09:13:39.8877989Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T09:13:39.8897762Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T09:13:39.8933822Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T09:13:40.8041521Z Installing collected packages: torch 2025-09-07T09:13:54.4406734Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T09:13:54.4407731Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T09:13:54.4408194Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T09:13:54.4408738Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T09:13:54.4409383Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T09:13:54.4410163Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T09:13:54.4410941Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T09:13:54.4885130Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T09:13:54.7069840Z + export TERM=vt100 2025-09-07T09:13:54.7070133Z + TERM=vt100 2025-09-07T09:13:54.7070804Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:13:54.7081487Z + source .ci/pytorch/common.sh 2025-09-07T09:13:54.7085319Z +++ dirname .ci/pytorch/common.sh 2025-09-07T09:13:54.7092277Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T09:13:54.7094016Z +++ declare -f -t trap_add 2025-09-07T09:13:54.7098929Z ++ set -ex -o pipefail 2025-09-07T09:13:54.7099322Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T09:13:54.7099744Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T09:13:54.7103097Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:13:54.7110329Z + source .ci/pytorch/common-build.sh 2025-09-07T09:13:54.7111717Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *win-* ]] 2025-09-07T09:13:54.7118102Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T09:13:54.7125102Z +++ cd .ci/pytorch 2025-09-07T09:13:54.7125650Z +++ pwd -P 2025-09-07T09:13:54.7127816Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T09:13:54.7128272Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-pch* ]] 2025-09-07T09:13:54.7128647Z ++ which sccache 2025-09-07T09:13:54.7141601Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T09:13:54.7141991Z ++ sccache --stop-server 2025-09-07T09:13:54.7166554Z ++ true 2025-09-07T09:13:54.7166811Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T09:13:54.7176399Z ++ trap_add sccache_epilogue EXIT 2025-09-07T09:13:54.7176751Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T09:13:54.7177059Z ++ shift 2025-09-07T09:13:54.7177272Z ++ for trap_add_name in "$@" 2025-09-07T09:13:54.7182831Z ++++ trap -p EXIT 2025-09-07T09:13:54.7185365Z +++ eval 'extract_trap_cmd ' 2025-09-07T09:13:54.7185668Z ++++ extract_trap_cmd 2025-09-07T09:13:54.7185916Z ++++ printf '%s\n' '' 2025-09-07T09:13:54.7186189Z +++ printf '%s\n' sccache_epilogue 2025-09-07T09:13:54.7187580Z ++ trap -- ' 2025-09-07T09:13:54.7187822Z sccache_epilogue' EXIT 2025-09-07T09:13:54.7188074Z ++ [[ -n 1 ]] 2025-09-07T09:13:54.7188475Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T09:13:54.7189102Z Skipping sccache server initialization, setting environment variables 2025-09-07T09:13:54.7189564Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:13:54.7189863Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:13:54.7190209Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:13:54.7190667Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:13:54.7191529Z ++ export RUST_LOG=sccache::server=error 2025-09-07T09:13:54.7191870Z ++ RUST_LOG=sccache::server=error 2025-09-07T09:13:54.7192159Z ++ sccache --zero-stats 2025-09-07T09:13:56.3384938Z Statistics zeroed. 2025-09-07T09:13:56.3389581Z ++ which ccache 2025-09-07T09:13:56.3405418Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *rocm* ]] 2025-09-07T09:13:56.3405887Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *s390x* ]] 2025-09-07T09:13:56.3406330Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T09:13:56.3408932Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T09:13:56.3420080Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T09:13:56.3420466Z + trap_add cleanup_workspace EXIT 2025-09-07T09:13:56.3420796Z + trap_add_cmd=cleanup_workspace 2025-09-07T09:13:56.3421072Z + shift 2025-09-07T09:13:56.3421307Z + for trap_add_name in "$@" 2025-09-07T09:13:56.3428079Z +++ trap -p EXIT 2025-09-07T09:13:56.3430693Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T09:13:56.3431033Z sccache_epilogue'\'' EXIT' 2025-09-07T09:13:56.3431340Z +++ extract_trap_cmd trap -- ' 2025-09-07T09:13:56.3431631Z sccache_epilogue' EXIT 2025-09-07T09:13:56.3431889Z +++ printf '%s\n' ' 2025-09-07T09:13:56.3432132Z sccache_epilogue' 2025-09-07T09:13:56.3432376Z ++ printf '%s\n' cleanup_workspace 2025-09-07T09:13:56.3433625Z + trap -- ' 2025-09-07T09:13:56.3433855Z sccache_epilogue 2025-09-07T09:13:56.3434105Z cleanup_workspace' EXIT 2025-09-07T09:13:56.3446353Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T09:14:17.9082561Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T09:14:17.9100159Z + echo 'Environment variables:' 2025-09-07T09:14:17.9100746Z Environment variables: 2025-09-07T09:14:17.9101157Z + env 2025-09-07T09:14:17.9108287Z GITHUB_WORKSPACE=/home/charlie/_work/pytorch/pytorch 2025-09-07T09:14:17.9108964Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:14:17.9109590Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T09:14:17.9112335Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:14:17.9112949Z HOSTNAME=9f8e291d0b72 2025-09-07T09:14:17.9113909Z GITHUB_PATH=/home/charlie/_work/_temp/_runner_file_commands/add_path_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:17.9114997Z GITHUB_ACTION=__run_2 2025-09-07T09:14:17.9115477Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:14:17.9116004Z GITHUB_RUN_NUMBER=5418 2025-09-07T09:14:17.9116483Z TEST_CONFIG=inductor_timm_perf 2025-09-07T09:14:17.9117030Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:14:17.9117657Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:14:17.9118238Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:14:17.9119018Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:14:17.9119585Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T09:14:17.9120152Z GITHUB_REF_TYPE=branch 2025-09-07T09:14:17.9120674Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:17.9121271Z XLA_CUDA= 2025-09-07T09:14:17.9121686Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:14:17.9122431Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:14:17.9123145Z *** 2025-09-07T09:14:17.9123536Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:14:17.9124024Z GITHUB_ACTIONS=true 2025-09-07T09:14:17.9124495Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:14:17.9125113Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:14:17.9125850Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:17.9126520Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:17.9127692Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T09:14:17.9128794Z UCC_HOME=/usr 2025-09-07T09:14:17.9129220Z VERBOSE_TEST_LOGS=False 2025-09-07T09:14:17.9129681Z GITHUB_REF=refs/heads/main 2025-09-07T09:14:17.9130208Z SHARD_NUMBER=4 2025-09-07T09:14:17.9130627Z GITHUB_REF_PROTECTED=true 2025-09-07T09:14:17.9131120Z HOME=/var/lib/jenkins 2025-09-07T09:14:17.9131564Z SCCACHE_SERVER_PORT=5229 2025-09-07T09:14:17.9132071Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:14:17.9132643Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:14:17.9133964Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:14:17.9134577Z USE_SYSTEM_NCCL=1 2025-09-07T09:14:17.9134961Z NUM_TEST_SHARDS=6 2025-09-07T09:14:17.9135357Z UCX_HOME=/usr 2025-09-07T09:14:17.9136233Z GITHUB_STATE=/home/charlie/_work/_temp/_runner_file_commands/save_state_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:17.9137619Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T09:14:17.9138899Z GITHUB_ENV=/home/charlie/_work/_temp/_runner_file_commands/set_env_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:17.9140196Z GITHUB_EVENT_PATH=/home/charlie/_work/_temp/_github_workflow/event.json 2025-09-07T09:14:17.9140953Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:14:17.9143617Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T09:14:17.9146183Z GITHUB_RUN_ID=17525309334 2025-09-07T09:14:17.9146661Z INSTALLED_OPENBLAS= 2025-09-07T09:14:17.9147691Z GITHUB_STEP_SUMMARY=/home/charlie/_work/_temp/_runner_file_commands/step_summary_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:17.9148844Z GITHUB_ACTOR=desertfire 2025-09-07T09:14:17.9149288Z PR_NUMBER= 2025-09-07T09:14:17.9149655Z DESIRED_CUDA=12.8.1 2025-09-07T09:14:17.9150083Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:14:17.9150913Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:14:17.9151594Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:14:17.9152241Z TERM=vt100 2025-09-07T09:14:17.9152650Z INSTALLED_VISION=yes 2025-09-07T09:14:17.9153129Z BRANCH=main 2025-09-07T09:14:17.9153603Z SCCACHE_REGION=us-east-1 2025-09-07T09:14:17.9154070Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:14:17.9154657Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:14:17.9155539Z GITHUB_ACTION_PATH=/home/charlie/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:14:17.9156541Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:14:17.9157180Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:14:17.9157816Z REENABLED_ISSUES= 2025-09-07T09:14:17.9158222Z DOCS= 2025-09-07T09:14:17.9158583Z SHLVL=1 2025-09-07T09:14:17.9158930Z MAX_JOBS=10 2025-09-07T09:14:17.9159327Z GITHUB_ACTOR_ID=3659962 2025-09-07T09:14:17.9159913Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:17.9160569Z GITHUB_REF_NAME=main 2025-09-07T09:14:17.9161271Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:14:17.9162089Z GITHUB_JOB=test 2025-09-07T09:14:17.9162519Z NO_TEST_TIMEOUT=False 2025-09-07T09:14:17.9162975Z TD_DISTRIBUTED=False 2025-09-07T09:14:17.9163487Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:14:17.9164087Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:14:17.9164584Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:14:17.9165097Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:14:17.9166611Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:14:17.9168192Z GITHUB_BASE_REF= 2025-09-07T09:14:17.9168607Z INSTALLED_ACL= 2025-09-07T09:14:17.9169306Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf-4-6-linux.aws.a100_49775768434 2025-09-07T09:14:17.9170154Z CI=true 2025-09-07T09:14:17.9170525Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:14:17.9171131Z RUST_LOG=sccache::server=error 2025-09-07T09:14:17.9171773Z JOB_ID=49775768434 2025-09-07T09:14:17.9172199Z GITHUB_HEAD_REF= 2025-09-07T09:14:17.9172601Z GITHUB_ACTION_REF= 2025-09-07T09:14:17.9173313Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:14:17.9173972Z TEST_SHOWLOCALS=False 2025-09-07T09:14:17.9174488Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T09:14:17.9175117Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:14:17.9176082Z GITHUB_OUTPUT=/home/charlie/_work/_temp/_runner_file_commands/set_output_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:17.9177461Z NO_TD=False 2025-09-07T09:14:17.9177873Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:14:17.9178428Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:14:17.9179005Z _=/usr/bin/env 2025-09-07T09:14:17.9179573Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T09:14:17.9412398Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T09:14:17.9413211Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T09:14:17.9413827Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T09:14:17.9414438Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T09:14:17.9414900Z + BUILD_DIR=build 2025-09-07T09:14:17.9415156Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T09:14:17.9415445Z + BUILD_BIN_DIR=build/bin 2025-09-07T09:14:17.9415706Z + SHARD_NUMBER=4 2025-09-07T09:14:17.9415939Z + NUM_TEST_SHARDS=6 2025-09-07T09:14:17.9416200Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:14:17.9416520Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:14:17.9416815Z + export VALGRIND=ON 2025-09-07T09:14:17.9417057Z + VALGRIND=ON 2025-09-07T09:14:17.9417358Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *clang9* ]] 2025-09-07T09:14:17.9417785Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T09:14:17.9418145Z + detect_cuda_arch 2025-09-07T09:14:18.5332435Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T09:14:18.5333546Z + command -v nvidia-smi 2025-09-07T09:14:18.5333813Z /usr/bin/nvidia-smi 2025-09-07T09:14:18.5334159Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T09:14:18.5334529Z ++ tail -n 1 2025-09-07T09:14:18.5645495Z + TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T09:14:18.5645908Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T09:14:18.5646276Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *s390x* ]] 2025-09-07T09:14:18.5646655Z + [[ 0 == \1 ]] 2025-09-07T09:14:18.5646886Z + [[ True == \1 ]] 2025-09-07T09:14:18.5647203Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *bazel* ]] 2025-09-07T09:14:18.5649199Z ++ realpath build/custom_test_artifacts 2025-09-07T09:14:18.5659509Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T09:14:18.5660163Z + [[ -n '' ]] 2025-09-07T09:14:18.5660559Z + echo 'Environment variables' 2025-09-07T09:14:18.5660877Z Environment variables 2025-09-07T09:14:18.5661130Z + env 2025-09-07T09:14:18.5667902Z GITHUB_WORKSPACE=/home/charlie/_work/pytorch/pytorch 2025-09-07T09:14:18.5668299Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:14:18.5668821Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T09:14:18.5669760Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:14:18.5670131Z HOSTNAME=9f8e291d0b72 2025-09-07T09:14:18.5670978Z GITHUB_PATH=/home/charlie/_work/_temp/_runner_file_commands/add_path_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:18.5671798Z GITHUB_ACTION=__run_2 2025-09-07T09:14:18.5672086Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:14:18.5672407Z GITHUB_RUN_NUMBER=5418 2025-09-07T09:14:18.5672720Z TEST_CONFIG=inductor_timm_perf 2025-09-07T09:14:18.5673076Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:14:18.5673555Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:14:18.5673872Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:14:18.5674282Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:14:18.5674588Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T09:14:18.5674894Z GITHUB_REF_TYPE=branch 2025-09-07T09:14:18.5675146Z TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T09:14:18.5675452Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:18.5675793Z XLA_CUDA= 2025-09-07T09:14:18.5676028Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:14:18.5676434Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:14:18.5676999Z *** 2025-09-07T09:14:18.5677311Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:14:18.5677758Z GITHUB_ACTIONS=true 2025-09-07T09:14:18.5678173Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:14:18.5689554Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:14:18.5690400Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:18.5690800Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:18.5691445Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T09:14:18.5692047Z UCC_HOME=/usr 2025-09-07T09:14:18.5692299Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:14:18.5692587Z VERBOSE_TEST_LOGS=False 2025-09-07T09:14:18.5693070Z GITHUB_REF=refs/heads/main 2025-09-07T09:14:18.5693347Z SHARD_NUMBER=4 2025-09-07T09:14:18.5693590Z GITHUB_REF_PROTECTED=true 2025-09-07T09:14:18.5693872Z HOME=/var/lib/jenkins 2025-09-07T09:14:18.5694122Z SCCACHE_SERVER_PORT=5229 2025-09-07T09:14:18.5694430Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:14:18.5694781Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:14:18.5695141Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:14:18.5695472Z USE_SYSTEM_NCCL=1 2025-09-07T09:14:18.5695713Z NUM_TEST_SHARDS=6 2025-09-07T09:14:18.5695949Z UCX_HOME=/usr 2025-09-07T09:14:18.5696443Z GITHUB_STATE=/home/charlie/_work/_temp/_runner_file_commands/save_state_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:18.5697443Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T09:14:18.5698179Z GITHUB_ENV=/home/charlie/_work/_temp/_runner_file_commands/set_env_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:18.5699047Z GITHUB_EVENT_PATH=/home/charlie/_work/_temp/_github_workflow/event.json 2025-09-07T09:14:18.5699515Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:14:18.5700806Z DASHBOARD_TAG=training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true 2025-09-07T09:14:18.5702127Z GITHUB_RUN_ID=17525309334 2025-09-07T09:14:18.5702403Z INSTALLED_OPENBLAS= 2025-09-07T09:14:18.5702973Z GITHUB_STEP_SUMMARY=/home/charlie/_work/_temp/_runner_file_commands/step_summary_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:18.5703596Z GITHUB_ACTOR=desertfire 2025-09-07T09:14:18.5703856Z PR_NUMBER= 2025-09-07T09:14:18.5704081Z DESIRED_CUDA=12.8.1 2025-09-07T09:14:18.5704327Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:14:18.5704559Z VALGRIND=ON 2025-09-07T09:14:18.5704913Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:14:18.5705264Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:14:18.5705629Z TERM=vt100 2025-09-07T09:14:18.5705837Z INSTALLED_VISION=yes 2025-09-07T09:14:18.5706081Z BRANCH=main 2025-09-07T09:14:18.5706309Z SCCACHE_REGION=us-east-1 2025-09-07T09:14:18.5706585Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:14:18.5706860Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:14:18.5707322Z GITHUB_ACTION_PATH=/home/charlie/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:14:18.5707849Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:14:18.5708216Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:14:18.5708562Z REENABLED_ISSUES= 2025-09-07T09:14:18.5708794Z DOCS= 2025-09-07T09:14:18.5708995Z SHLVL=1 2025-09-07T09:14:18.5709199Z MAX_JOBS=10 2025-09-07T09:14:18.5709411Z GITHUB_ACTOR_ID=3659962 2025-09-07T09:14:18.5709761Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:18.5710156Z GITHUB_REF_NAME=main 2025-09-07T09:14:18.5710542Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:14:18.5710971Z GITHUB_JOB=test 2025-09-07T09:14:18.5711211Z NO_TEST_TIMEOUT=False 2025-09-07T09:14:18.5711465Z TD_DISTRIBUTED=False 2025-09-07T09:14:18.5711734Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:14:18.5712033Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:14:18.5712306Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:14:18.5712580Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:14:18.5713397Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:14:18.5714381Z GITHUB_BASE_REF= 2025-09-07T09:14:18.5714622Z INSTALLED_ACL= 2025-09-07T09:14:18.5715022Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf-4-6-linux.aws.a100_49775768434 2025-09-07T09:14:18.5715491Z CI=true 2025-09-07T09:14:18.5715713Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:14:18.5716049Z RUST_LOG=sccache::server=error 2025-09-07T09:14:18.5716330Z JOB_ID=49775768434 2025-09-07T09:14:18.5716563Z GITHUB_HEAD_REF= 2025-09-07T09:14:18.5716788Z GITHUB_ACTION_REF= 2025-09-07T09:14:18.5717097Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:14:18.5717464Z TEST_SHOWLOCALS=False 2025-09-07T09:14:18.5717757Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T09:14:18.5718090Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:14:18.5718657Z GITHUB_OUTPUT=/home/charlie/_work/_temp/_runner_file_commands/set_output_51a4064f-451f-4a5f-a692-84f41922600f 2025-09-07T09:14:18.5719370Z NO_TD=False 2025-09-07T09:14:18.5719613Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:14:18.5720004Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:14:18.5720330Z _=/usr/bin/env 2025-09-07T09:14:18.5720574Z + echo 'Testing pytorch' 2025-09-07T09:14:18.5720838Z Testing pytorch 2025-09-07T09:14:18.5721077Z + export LANG=C.UTF-8 2025-09-07T09:14:18.5721324Z + LANG=C.UTF-8 2025-09-07T09:14:18.5721569Z + PR_NUMBER= 2025-09-07T09:14:18.5721818Z + [[ inductor_timm_perf == \d\e\f\a\u\l\t ]] 2025-09-07T09:14:18.5722176Z + [[ inductor_timm_perf == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T09:14:18.5722665Z + [[ inductor_timm_perf == \s\l\o\w ]] 2025-09-07T09:14:18.5723096Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *slow-gradcheck* ]] 2025-09-07T09:14:18.5723574Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T09:14:18.5723964Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:14:18.5724327Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:14:18.5724662Z + [[ inductor_timm_perf == *crossref* ]] 2025-09-07T09:14:18.5725046Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T09:14:18.5725474Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T09:14:18.5725896Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T09:14:18.5726284Z + pip_install ninja==1.10.2 2025-09-07T09:14:18.5726667Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:14:18.5727148Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T09:14:19.0347631Z Collecting ninja==1.10.2 2025-09-07T09:14:19.5818675Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T09:14:19.6536375Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T09:14:20.5804016Z Installing collected packages: ninja 2025-09-07T09:14:20.5804420Z Attempting uninstall: ninja 2025-09-07T09:14:20.5814670Z Found existing installation: ninja 1.11.1.3 2025-09-07T09:14:20.5835710Z Uninstalling ninja-1.11.1.3: 2025-09-07T09:14:20.7785228Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T09:14:20.9803961Z Successfully installed ninja-1.10.2 2025-09-07T09:14:21.0838424Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:14:21.0840106Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T09:14:21.0841148Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T09:14:21.0841593Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *asan* ]] 2025-09-07T09:14:21.0842024Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-debug* ]] 2025-09-07T09:14:21.0842468Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T09:14:21.0843089Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass' 2025-09-07T09:14:21.0844114Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass 2025-09-07T09:14:21.0844624Z + cd test 2025-09-07T09:14:21.0844979Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T09:14:21.6929306Z /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. 2025-09-07T09:14:21.6932753Z import pynvml # type: ignore[import] 2025-09-07T09:14:22.9818869Z + [[ inductor_timm_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T09:14:22.9819344Z + [[ inductor_timm_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T09:14:22.9819800Z + [[ inductor_timm_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T09:14:22.9822806Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T09:14:22.9823703Z + [[ inductor_timm_perf == *pr_time_benchmarks* ]] 2025-09-07T09:14:22.9824128Z + [[ inductor_timm_perf == *dynamo_eager* ]] 2025-09-07T09:14:22.9824470Z + [[ inductor_timm_perf == *aot_eager* ]] 2025-09-07T09:14:22.9824882Z + [[ inductor_timm_perf == *aot_inductor* ]] 2025-09-07T09:14:22.9825248Z + [[ inductor_timm_perf == *max_autotune_inductor* ]] 2025-09-07T09:14:22.9825625Z + [[ inductor_timm_perf == *inductor* ]] 2025-09-07T09:14:22.9825956Z + [[ inductor_timm_perf != *perf* ]] 2025-09-07T09:14:22.9826631Z + [[ inductor_timm_perf == *dynamic* ]] 2025-09-07T09:14:22.9826945Z + [[ inductor_timm_perf == *cpu* ]] 2025-09-07T09:14:22.9827284Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T09:14:22.9846151Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T09:14:22.9846633Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-bazel-* ]] 2025-09-07T09:14:22.9849725Z + cd test 2025-09-07T09:14:22.9850622Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T09:14:23.6107112Z /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. 2025-09-07T09:14:23.6108561Z import pynvml # type: ignore[import] 2025-09-07T09:14:25.5974094Z PyTorch built with: 2025-09-07T09:14:25.5974405Z - GCC 9.5 2025-09-07T09:14:25.5974636Z - C++ Version: 201703 2025-09-07T09:14:25.5975253Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:14:25.5975999Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:14:25.5976460Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:14:25.5976814Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T09:14:25.5977160Z - NNPACK is enabled 2025-09-07T09:14:25.5977416Z - CPU capability usage: AVX512 2025-09-07T09:14:25.5977728Z - CUDA Runtime 12.8 2025-09-07T09:14:25.5978084Z - NVCC architecture flags: -gencode;arch=compute_80,code=sm_80 2025-09-07T09:14:25.5978485Z - CuDNN 90.8 2025-09-07T09:14:25.5983283Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T09:14:25.7467987Z 2025-09-07T09:14:26.9111879Z + cd test 2025-09-07T09:14:26.9112299Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T09:14:27.5309163Z /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. 2025-09-07T09:14:27.5310589Z import pynvml # type: ignore[import] 2025-09-07T09:14:28.3685227Z ATen/Parallel: 2025-09-07T09:14:28.3685576Z at::get_num_threads() : 12 2025-09-07T09:14:28.3685893Z at::get_num_interop_threads() : 48 2025-09-07T09:14:28.3686228Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:14:28.3686538Z omp_get_max_threads() : 12 2025-09-07T09:14:28.3687125Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:14:28.3687753Z mkl_get_max_threads() : 12 2025-09-07T09:14:28.3688142Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:14:28.3689032Z std::thread::hardware_concurrency() : 96 2025-09-07T09:14:28.3689373Z Environment variables: 2025-09-07T09:14:28.3689645Z OMP_NUM_THREADS : [not set] 2025-09-07T09:14:28.3689916Z MKL_NUM_THREADS : [not set] 2025-09-07T09:14:28.3690206Z ATen parallel backend: OpenMP 2025-09-07T09:14:28.3690396Z 2025-09-07T09:14:28.7312908Z + [[ inductor_timm_perf == *numpy_2* ]] 2025-09-07T09:14:28.7313363Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T09:14:28.7313779Z + [[ inductor_timm_perf == *backward* ]] 2025-09-07T09:14:28.7314135Z + [[ inductor_timm_perf == *xla* ]] 2025-09-07T09:14:28.7314463Z + [[ inductor_timm_perf == *vllm* ]] 2025-09-07T09:14:28.7314775Z + [[ inductor_timm_perf == *executorch* ]] 2025-09-07T09:14:28.7315137Z + [[ inductor_timm_perf == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T09:14:28.7315559Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T09:14:28.7315963Z + [[ inductor_timm_perf == distributed ]] 2025-09-07T09:14:28.7316322Z + [[ inductor_timm_perf == *operator_benchmark* ]] 2025-09-07T09:14:28.7316722Z + [[ inductor_timm_perf == *inductor_distributed* ]] 2025-09-07T09:14:28.7317108Z + [[ inductor_timm_perf == *inductor-halide* ]] 2025-09-07T09:14:28.7317491Z + [[ inductor_timm_perf == *inductor-triton-cpu* ]] 2025-09-07T09:14:28.7317899Z + [[ inductor_timm_perf == *inductor-micro-benchmark* ]] 2025-09-07T09:14:28.7318288Z + [[ inductor_timm_perf == *huggingface* ]] 2025-09-07T09:14:28.7318620Z + [[ inductor_timm_perf == *timm* ]] 2025-09-07T09:14:28.7318925Z + install_torchvision 2025-09-07T09:14:28.7319181Z + local orig_preload 2025-09-07T09:14:28.7319413Z + local commit 2025-09-07T09:14:28.7319654Z ++ get_pinned_commit vision 2025-09-07T09:14:28.7319949Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T09:14:28.7330660Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:14:28.7331035Z + orig_preload= 2025-09-07T09:14:28.7331294Z + '[' -n '' ']' 2025-09-07T09:14:28.7331598Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T09:14:28.7331989Z + export FORCE_CUDA=1 2025-09-07T09:14:28.7332242Z + FORCE_CUDA=1 2025-09-07T09:14:28.7332458Z + export WITH_CUDA=1 2025-09-07T09:14:28.7332700Z + WITH_CUDA=1 2025-09-07T09:14:28.7333479Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T09:14:28.7334411Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:14:28.7334995Z + local wheel_dir=dist/vision 2025-09-07T09:14:28.7335638Z + local found_whl=0 2025-09-07T09:14:28.7335912Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:14:28.7336387Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:14:28.7336850Z + found_whl=1 2025-09-07T09:14:28.7337068Z + break 2025-09-07T09:14:28.7337268Z + '[' 1 == 0 ']' 2025-09-07T09:14:28.7337517Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:14:28.7338019Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:14:28.7338714Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:14:28.7339190Z + local args 2025-09-07T09:14:28.7339600Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:14:28.7340107Z + for path in "${args[@]}" 2025-09-07T09:14:28.7340578Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:14:28.7341295Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:14:28.7342115Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:14:29.0955397Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:14:29.1078771Z Installing collected packages: torchvision 2025-09-07T09:14:29.9075728Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T09:14:29.9522998Z + '[' -n '' ']' 2025-09-07T09:14:29.9523242Z + id=3 2025-09-07T09:14:29.9523486Z + test_dynamo_benchmark timm_models 3 2025-09-07T09:14:29.9526536Z ++ pwd 2025-09-07T09:14:29.9528389Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.9528812Z + local suite=timm_models 2025-09-07T09:14:29.9529076Z + shift 2025-09-07T09:14:29.9529293Z + local shard_id=3 2025-09-07T09:14:29.9529527Z + shift 2025-09-07T09:14:29.9529767Z + [[ inductor_timm_perf == *perf_compare* ]] 2025-09-07T09:14:29.9530098Z + [[ inductor_timm_perf == *perf* ]] 2025-09-07T09:14:29.9530426Z + [[ inductor_timm_perf == *b200* ]] 2025-09-07T09:14:29.9530795Z + test_single_dynamo_benchmark dashboard timm_models 3 2025-09-07T09:14:29.9532726Z ++ pwd 2025-09-07T09:14:29.9534838Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.9535318Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.9551311Z + local name=dashboard 2025-09-07T09:14:29.9551702Z + shift 2025-09-07T09:14:29.9551937Z + local suite=timm_models 2025-09-07T09:14:29.9552201Z + shift 2025-09-07T09:14:29.9552412Z + local shard_id=3 2025-09-07T09:14:29.9552644Z + shift 2025-09-07T09:14:29.9552843Z + partition_flags=() 2025-09-07T09:14:29.9553102Z + local partition_flags 2025-09-07T09:14:29.9553360Z + [[ -n 6 ]] 2025-09-07T09:14:29.9553575Z + [[ -n 3 ]] 2025-09-07T09:14:29.9553982Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T09:14:29.9554517Z + [[ inductor_timm_perf == *perf_compare* ]] 2025-09-07T09:14:29.9554869Z + [[ inductor_timm_perf == *perf* ]] 2025-09-07T09:14:29.9555376Z + test_perf_for_dashboard timm_models --device cuda --total-partitions 6 --partition-id 3 2025-09-07T09:14:29.9555879Z ++ pwd 2025-09-07T09:14:29.9557616Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.9558093Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.9570795Z + local suite=timm_models 2025-09-07T09:14:29.9571085Z + shift 2025-09-07T09:14:29.9571291Z + local backend=inductor 2025-09-07T09:14:29.9571549Z + modes=() 2025-09-07T09:14:29.9571767Z + local modes 2025-09-07T09:14:29.9573189Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *training-true* ]] 2025-09-07T09:14:29.9574594Z + modes+=(training) 2025-09-07T09:14:29.9575887Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *inference-true* ]] 2025-09-07T09:14:29.9580884Z + modes+=(inference) 2025-09-07T09:14:29.9581155Z + targets=('accuracy' 'performance') 2025-09-07T09:14:29.9581462Z + local targets 2025-09-07T09:14:29.9581693Z + local device=cuda 2025-09-07T09:14:29.9581937Z + [[ inductor_timm_perf == *cpu* ]] 2025-09-07T09:14:29.9582268Z + [[ inductor_timm_perf == *cuda_a10g* ]] 2025-09-07T09:14:29.9582597Z + [[ inductor_timm_perf == *h100* ]] 2025-09-07T09:14:29.9582907Z + [[ inductor_timm_perf == *b200* ]] 2025-09-07T09:14:29.9583202Z + [[ inductor_timm_perf == *rocm* ]] 2025-09-07T09:14:29.9583511Z + for mode in "${modes[@]}" 2025-09-07T09:14:29.9583796Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:14:29.9584115Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T09:14:29.9584395Z + dtype=amp 2025-09-07T09:14:29.9584626Z + for target in "${targets[@]}" 2025-09-07T09:14:29.9585032Z + target_flag=('--accuracy') 2025-09-07T09:14:29.9585314Z + local target_flag 2025-09-07T09:14:29.9585562Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:14:29.9585892Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T09:14:29.9586232Z + target_flag+=(--no-translation-validation) 2025-09-07T09:14:29.9587800Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T09:14:29.9590220Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T09:14:29.9592796Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 6 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:14:31.2589935Z /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. 2025-09-07T09:14:31.2591385Z import pynvml # type: ignore[import] 2025-09-07T09:14:36.8923167Z /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. 2025-09-07T09:14:36.8924600Z import pynvml # type: ignore[import] 2025-09-07T09:14:40.2938056Z 2025-09-07T09:14:40.4902711Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:14:40.4903027Z 2025-09-07T09:14:40.6311423Z model.safetensors: 0% 0.00/29.6M [00:00 will be ignored 2025-09-07T09:17:15.2994291Z pass 2025-09-07T09:17:21.1476824Z /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. 2025-09-07T09:17:21.1478244Z import pynvml # type: ignore[import] 2025-09-07T09:17:24.6002256Z 2025-09-07T09:17:24.7503851Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:17:24.7504126Z 2025-09-07T09:17:24.8092516Z model.safetensors: 0% 0.00/14.2M [00:00 will be ignored 2025-09-07T09:18:36.5377631Z pass 2025-09-07T09:18:41.7923980Z /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. 2025-09-07T09:18:41.7925421Z import pynvml # type: ignore[import] 2025-09-07T09:18:45.1955572Z 2025-09-07T09:18:45.3746664Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:45.3746969Z 2025-09-07T09:18:45.4646493Z model.safetensors: 0% 0.00/22.1M [00:00 will be ignored 2025-09-07T09:20:04.2314999Z pass 2025-09-07T09:20:09.7259001Z /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. 2025-09-07T09:20:09.7260481Z import pynvml # type: ignore[import] 2025-09-07T09:20:13.2051468Z 2025-09-07T09:20:13.4488299Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:20:13.4488720Z 2025-09-07T09:20:13.5615574Z model.safetensors: 0% 0.00/22.4M [00:00 will be ignored 2025-09-07T09:22:10.1395778Z pass 2025-09-07T09:22:15.6857979Z /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. 2025-09-07T09:22:15.6865704Z import pynvml # type: ignore[import] 2025-09-07T09:22:19.0967294Z 2025-09-07T09:22:19.6913356Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:19.6913647Z 2025-09-07T09:22:19.7999269Z model.safetensors: 0% 0.00/140M [00:00 will be ignored 2025-09-07T09:23:43.5472362Z pass 2025-09-07T09:23:49.4329270Z /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. 2025-09-07T09:23:49.4330723Z import pynvml # type: ignore[import] 2025-09-07T09:23:52.8270092Z 2025-09-07T09:23:53.3858069Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:23:53.3858546Z 2025-09-07T09:23:53.4926358Z model.safetensors: 0% 0.00/295M [00:00 will be ignored 2025-09-07T09:24:56.1110789Z pass 2025-09-07T09:25:01.4609215Z /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. 2025-09-07T09:25:01.4611630Z import pynvml # type: ignore[import] 2025-09-07T09:25:04.8474631Z 2025-09-07T09:25:05.5977070Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:05.5977510Z 2025-09-07T09:25:05.7148230Z model.safetensors: 0% 0.00/345M [00:00 will be ignored 2025-09-07T09:34:11.4784748Z pass 2025-09-07T09:34:19.2979468Z /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. 2025-09-07T09:34:19.2980891Z import pynvml # type: ignore[import] 2025-09-07T09:34:22.6009229Z 2025-09-07T09:34:22.8082675Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:34:22.8082981Z 2025-09-07T09:34:22.8649229Z model.safetensors: 0% 0.00/12.8M [00:00 will be ignored 2025-09-07T09:35:34.1912660Z pass 2025-09-07T09:35:38.4292154Z accuracy pass_rate=100.00% 2025-09-07T09:35:38.4298546Z calls_captured gmean=1209.23x mean=1285.200x 2025-09-07T09:35:38.4302989Z unique_graphs gmean=2.93x mean=3.000x 2025-09-07T09:35:38.4307513Z graph_breaks gmean=6.66x mean=6.700x 2025-09-07T09:35:38.4312109Z unique_graph_breaks gmean=4.89x mean=4.900x 2025-09-07T09:35:38.4316197Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:35:38.4320596Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:35:38.4324818Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:35:38.4326312Z compilation_latency mean=113.266 seconds 2025-09-07T09:35:39.5808345Z + [[ 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* ]] 2025-09-07T09:35:39.5813614Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 6 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:35:40.9230863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:35:40.9232327Z import pynvml # type: ignore[import] 2025-09-07T09:35:45.9878606Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:35:45.9881228Z import pynvml # type: ignore[import] 2025-09-07T09:35:49.5246393Z 2025-09-07T09:35:50.9792695Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:35:50.9793084Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:35:50.9793418Z cuda train mixnet_l 2025-09-07T09:37:03.5059853Z pass 2025-09-07T09:37:09.4273231Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:37:09.4275802Z import pynvml # type: ignore[import] 2025-09-07T09:37:12.7940278Z 2025-09-07T09:37:13.9384388Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:37:13.9385013Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:37:13.9385641Z cuda train mnasnet_100 2025-09-07T09:37:53.3058096Z W0907 09:37:53.304000 28554 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T09:38:21.5450916Z pass 2025-09-07T09:38:26.6710941Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:38:26.6713586Z import pynvml # type: ignore[import] 2025-09-07T09:38:30.0409482Z 2025-09-07T09:38:31.1395421Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:38:31.1396022Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:38:31.1396542Z cuda train mobilenetv2_100 2025-09-07T09:39:12.3806721Z W0907 09:39:12.379000 28693 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:39:40.8273290Z pass 2025-09-07T09:39:46.0404445Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:39:46.0405835Z import pynvml # type: ignore[import] 2025-09-07T09:39:49.4541650Z 2025-09-07T09:39:50.7697507Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:39:50.7697892Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:39:50.7703165Z cuda train mobilenetv3_large_100 2025-09-07T09:40:36.6747357Z W0907 09:40:36.673000 28832 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:41:07.4673950Z pass 2025-09-07T09:41:12.8801427Z /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. 2025-09-07T09:41:12.8804063Z import pynvml # type: ignore[import] 2025-09-07T09:41:16.2606064Z 2025-09-07T09:41:17.5613712Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:41:17.5614303Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:41:17.5614832Z cuda train mobilevit_s 2025-09-07T09:42:32.9040488Z W0907 09:42:32.902000 28971 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T09:43:12.2815597Z pass 2025-09-07T09:43:18.6628783Z /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. 2025-09-07T09:43:18.6632001Z import pynvml # type: ignore[import] 2025-09-07T09:43:22.0098019Z 2025-09-07T09:43:23.5301003Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:23.5301623Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:43:23.5302170Z cuda train nfnet_l0 2025-09-07T09:44:04.8504984Z W0907 09:44:04.849000 29110 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:44:45.5587885Z pass 2025-09-07T09:44:51.6716069Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:44:51.6718699Z import pynvml # type: ignore[import] 2025-09-07T09:44:55.0374734Z 2025-09-07T09:44:56.4756132Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:56.4756555Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:44:56.4756875Z cuda train pit_b_224 2025-09-07T09:45:27.3164809Z W0907 09:45:27.315000 29249 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:45:56.7060714Z pass 2025-09-07T09:46:02.4749620Z /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. 2025-09-07T09:46:02.4751104Z import pynvml # type: ignore[import] 2025-09-07T09:46:06.1293419Z 2025-09-07T09:46:08.5251721Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:46:08.5252102Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:46:08.5252425Z cuda train pnasnet5large 2025-09-07T09:50:42.4397879Z pass 2025-09-07T09:50:50.0284876Z /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. 2025-09-07T09:50:50.0286317Z import pynvml # type: ignore[import] 2025-09-07T09:50:53.4158675Z 2025-09-07T09:50:55.2544226Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:50:55.2544616Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:50:55.2545478Z cuda train poolformer_m36 2025-09-07T09:53:59.3641211Z W0907 09:53:59.363000 29527 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:55:12.8831068Z pass 2025-09-07T09:55:21.0278867Z /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. 2025-09-07T09:55:21.0280300Z import pynvml # type: ignore[import] 2025-09-07T09:55:24.3770320Z 2025-09-07T09:55:25.5070620Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:55:25.5071202Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:55:25.5071701Z cuda train regnety_002 2025-09-07T09:56:02.1621625Z W0907 09:56:02.161000 29666 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:56:34.9275489Z pass 2025-09-07T09:56:39.5689412Z accuracy pass_rate=100.00% 2025-09-07T09:56:39.5695179Z calls_captured gmean=1209.23x mean=1285.200x 2025-09-07T09:56:39.5700135Z unique_graphs gmean=2.93x mean=3.000x 2025-09-07T09:56:39.5704634Z graph_breaks gmean=6.66x mean=6.700x 2025-09-07T09:56:39.5709422Z unique_graph_breaks gmean=4.89x mean=4.900x 2025-09-07T09:56:39.5714370Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:56:39.5718304Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:56:39.5722796Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T09:56:39.5724347Z compilation_latency mean=111.585 seconds 2025-09-07T09:56:40.7480191Z + [[ 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* ]] 2025-09-07T09:56:40.7482903Z + 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 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:56:41.9123316Z /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. 2025-09-07T09:56:41.9124725Z import pynvml # type: ignore[import] 2025-09-07T09:56:47.1055408Z /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. 2025-09-07T09:56:47.1056861Z import pynvml # type: ignore[import] 2025-09-07T09:56:50.5099037Z 2025-09-07T09:56:51.9119125Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:56:51.9119664Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:56:51.9120132Z cuda train mixnet_l 2025-09-07T09:57:14.5047285Z pass 2025-09-07T09:57:18.5201451Z /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. 2025-09-07T09:57:18.5202897Z import pynvml # type: ignore[import] 2025-09-07T09:57:22.1718768Z 2025-09-07T09:57:23.3836975Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:57:23.3837618Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:57:23.3838182Z cuda train mnasnet_100 2025-09-07T09:57:36.7200251Z W0907 09:57:36.719000 30057 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T09:57:43.3025130Z pass 2025-09-07T09:57:47.0294775Z /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. 2025-09-07T09:57:47.0296225Z import pynvml # type: ignore[import] 2025-09-07T09:57:50.5037532Z 2025-09-07T09:57:51.6810470Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:57:51.6810839Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:57:51.6811346Z cuda train mobilenetv2_100 2025-09-07T09:58:05.1768164Z W0907 09:58:05.176000 30219 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:58:11.9528772Z pass 2025-09-07T09:58:15.9202490Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:58:15.9203931Z import pynvml # type: ignore[import] 2025-09-07T09:58:19.4662986Z 2025-09-07T09:58:20.7090490Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:58:20.7090921Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:58:20.7091267Z cuda train mobilenetv3_large_100 2025-09-07T09:58:35.1391953Z W0907 09:58:35.138000 30381 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:58:42.4682053Z pass 2025-09-07T09:58:46.4320879Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:58:46.4323610Z import pynvml # type: ignore[import] 2025-09-07T09:58:49.8647267Z 2025-09-07T09:58:51.1191749Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:58:51.1192276Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:58:51.1192733Z cuda train mobilevit_s 2025-09-07T09:59:06.2772035Z W0907 09:59:06.276000 30683 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T09:59:15.4091581Z pass 2025-09-07T09:59:19.2453291Z /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. 2025-09-07T09:59:19.2455998Z import pynvml # type: ignore[import] 2025-09-07T09:59:22.5918355Z 2025-09-07T09:59:24.1326205Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:59:24.1326580Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:59:24.1326913Z cuda train nfnet_l0 2025-09-07T09:59:37.4975729Z W0907 09:59:37.496000 30845 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:59:46.9908896Z pass 2025-09-07T09:59:50.7894999Z /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. 2025-09-07T09:59:50.7896444Z import pynvml # type: ignore[import] 2025-09-07T09:59:54.2303140Z 2025-09-07T09:59:55.5930535Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:59:55.5931537Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:59:55.5931877Z cuda train pit_b_224 2025-09-07T10:00:07.7845480Z W0907 10:00:07.783000 31007 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:00:14.8614669Z pass 2025-09-07T10:00:18.8464669Z /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. 2025-09-07T10:00:18.8466138Z import pynvml # type: ignore[import] 2025-09-07T10:00:22.1665809Z 2025-09-07T10:00:24.7034876Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:00:24.7035252Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:00:24.7035593Z cuda train pnasnet5large 2025-09-07T10:00:58.7376638Z pass 2025-09-07T10:01:02.9352662Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:01:02.9354099Z import pynvml # type: ignore[import] 2025-09-07T10:01:06.4011842Z 2025-09-07T10:01:08.1372167Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:08.1373294Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:01:08.1373662Z cuda train poolformer_m36 2025-09-07T10:01:24.8593885Z W0907 10:01:24.858000 31331 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:01:41.9203070Z pass 2025-09-07T10:01:46.0660737Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:01:46.0664116Z import pynvml # type: ignore[import] 2025-09-07T10:01:49.6406902Z 2025-09-07T10:01:50.8725163Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:50.8725552Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:01:50.8726226Z cuda train regnety_002 2025-09-07T10:02:04.8935147Z W0907 10:02:04.892000 31493 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:02:12.7820388Z pass 2025-09-07T10:02:15.5241854Z accuracy pass_rate=100.00% 2025-09-07T10:02:15.5251968Z calls_captured gmean=1209.23x mean=1285.200x 2025-09-07T10:02:15.5260188Z unique_graphs gmean=2.93x mean=3.000x 2025-09-07T10:02:15.5267506Z graph_breaks gmean=6.66x mean=6.700x 2025-09-07T10:02:15.5274740Z unique_graph_breaks gmean=4.89x mean=4.900x 2025-09-07T10:02:15.5281885Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:02:15.5289125Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:02:15.5296895Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:02:15.5299170Z compilation_latency mean=21.075 seconds 2025-09-07T10:02:16.8672279Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cppwrapper-true* ]] 2025-09-07T10:02:16.8673748Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T10:02:16.8675247Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 6 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T10:02:18.1941550Z /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. 2025-09-07T10:02:18.1943490Z import pynvml # type: ignore[import] 2025-09-07T10:02:23.4978370Z /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. 2025-09-07T10:02:23.4979814Z import pynvml # type: ignore[import] 2025-09-07T10:02:27.3208097Z 2025-09-07T10:02:28.7455470Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:02:28.7455859Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:02:28.7456188Z cuda train mixnet_l 2025-09-07T10:05:14.0811213Z pass 2025-09-07T10:05:20.9733134Z /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. 2025-09-07T10:05:20.9734627Z import pynvml # type: ignore[import] 2025-09-07T10:05:24.4095960Z 2025-09-07T10:05:25.5981148Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:05:25.5981534Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:05:25.5982380Z cuda train mnasnet_100 2025-09-07T10:06:46.5611366Z W0907 10:06:46.559000 32508 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T10:07:27.1168719Z pass 2025-09-07T10:07:33.2465478Z /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. 2025-09-07T10:07:33.2466932Z import pynvml # type: ignore[import] 2025-09-07T10:07:36.7580174Z 2025-09-07T10:07:37.9515089Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:07:37.9515465Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:07:37.9515783Z cuda train mobilenetv2_100 2025-09-07T10:08:57.2053163Z W0907 10:08:57.204000 32917 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:09:35.6737625Z pass 2025-09-07T10:09:41.7636043Z /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. 2025-09-07T10:09:41.7637481Z import pynvml # type: ignore[import] 2025-09-07T10:09:45.0992630Z 2025-09-07T10:09:46.3291829Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:09:46.3292199Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:09:46.3292535Z cuda train mobilenetv3_large_100 2025-09-07T10:11:17.3425281Z W0907 10:11:17.341000 33206 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:12:01.2834546Z pass 2025-09-07T10:12:08.1669676Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:12:08.1671111Z import pynvml # type: ignore[import] 2025-09-07T10:12:11.6917670Z 2025-09-07T10:12:12.9216598Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:12:12.9216985Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:12:12.9217301Z cuda train mobilevit_s 2025-09-07T10:14:25.6382653Z W0907 10:14:25.637000 33535 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T10:15:23.3304291Z pass 2025-09-07T10:15:30.3979782Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:15:30.3982526Z import pynvml # type: ignore[import] 2025-09-07T10:15:33.7619672Z 2025-09-07T10:15:35.2931920Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:15:35.2932328Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:15:35.2932658Z cuda train nfnet_l0 2025-09-07T10:16:55.3920817Z W0907 10:16:55.391000 34424 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:17:54.8620411Z pass 2025-09-07T10:18:01.7245431Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:18:01.7246871Z import pynvml # type: ignore[import] 2025-09-07T10:18:05.1793594Z 2025-09-07T10:18:06.6082115Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:18:06.6082491Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:18:06.6082821Z cuda train pit_b_224 2025-09-07T10:19:11.3047712Z W0907 10:19:11.303000 34793 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:19:53.8047980Z pass 2025-09-07T10:19:59.8590982Z /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. 2025-09-07T10:19:59.8593666Z import pynvml # type: ignore[import] 2025-09-07T10:20:03.2900637Z 2025-09-07T10:20:05.6700907Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:20:05.6701300Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:20:05.6701664Z cuda train pnasnet5large 2025-09-07T10:30:43.2958811Z pass 2025-09-07T10:30:55.8130505Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:30:55.8131996Z import pynvml # type: ignore[import] 2025-09-07T10:30:59.1737520Z 2025-09-07T10:31:01.0704591Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:31:01.0705446Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:31:01.0706016Z cuda train poolformer_m36 2025-09-07T10:35:33.7006518Z W0907 10:35:33.699000 35711 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:37:35.3220724Z pass 2025-09-07T10:37:45.7519057Z /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. 2025-09-07T10:37:45.7520493Z import pynvml # type: ignore[import] 2025-09-07T10:37:49.1273523Z 2025-09-07T10:37:50.3740982Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:37:50.3741376Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:37:50.3741694Z cuda train regnety_002 2025-09-07T10:39:04.0935768Z W0907 10:39:04.092000 36080 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:39:50.9606801Z pass 2025-09-07T10:39:56.1721248Z accuracy pass_rate=100.00% 2025-09-07T10:39:56.1727471Z calls_captured gmean=1209.23x mean=1285.200x 2025-09-07T10:39:56.1732443Z unique_graphs gmean=2.93x mean=3.000x 2025-09-07T10:39:56.1737181Z graph_breaks gmean=6.66x mean=6.700x 2025-09-07T10:39:56.1741637Z unique_graph_breaks gmean=4.89x mean=4.900x 2025-09-07T10:39:56.1746268Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:39:56.1754168Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:39:56.1755718Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:39:56.1757180Z compilation_latency mean=211.317 seconds 2025-09-07T10:39:57.3762251Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing_cudagraphs-true* ]] 2025-09-07T10:39:57.3763789Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:39:57.3765248Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T10:39:57.3767239Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:39:57.3768656Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *aotinductor-true* ]] 2025-09-07T10:39:57.3770057Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:39:57.3771432Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *maxautotune-true* ]] 2025-09-07T10:39:57.3773083Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T10:39:57.3774505Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 6 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T10:39:58.5406067Z /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. 2025-09-07T10:39:58.5407567Z import pynvml # type: ignore[import] 2025-09-07T10:40:05.0357635Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:40:05.0360006Z import pynvml # type: ignore[import] 2025-09-07T10:40:08.4934804Z 2025-09-07T10:40:09.9501308Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:40:09.9501915Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:40:09.9502468Z cuda train mixnet_l 2025-09-07T10:40:58.9874291Z Autotune Choices Stats: 2025-09-07T10:40:58.9875548Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1320", "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} 2025-09-07T10:40:58.9880622Z AUTOTUNE addmm(8x132, 8x1584, 1584x132) 2025-09-07T10:40:58.9880949Z strides: [0, 1], [1584, 1], [1, 1584] 2025-09-07T10:40:58.9881710Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:40:58.9882546Z triton_mm_1320 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 2025-09-07T10:40:58.9883762Z triton_mm_1324 0.0143 ms 92.9% 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 2025-09-07T10:40:58.9884974Z triton_mm_1318 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=5, num_warps=4 2025-09-07T10:40:58.9886172Z triton_mm_1319 0.0164 ms 81.2% 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 2025-09-07T10:40:58.9887378Z triton_mm_1328 0.0164 ms 81.2% 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 2025-09-07T10:40:58.9888593Z triton_mm_1323 0.0174 ms 76.5% 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 2025-09-07T10:40:58.9889978Z triton_mm_1332 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:40:58.9891189Z triton_mm_1317 0.0195 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:40:58.9892384Z triton_mm_1327 0.0195 ms 68.4% 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 2025-09-07T10:40:58.9893875Z triton_mm_1330 0.0195 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:40:58.9894915Z SingleProcess AUTOTUNE benchmarking takes 0.3155 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:40:59.5859833Z Autotune Choices Stats: 2025-09-07T10:40:59.5862077Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_950", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:40:59.5866645Z AUTOTUNE addmm(8x80, 8x480, 480x80) 2025-09-07T10:40:59.5867218Z strides: [0, 1], [480, 1], [1, 480] 2025-09-07T10:40:59.5867729Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:40:59.5869217Z triton_mm_950 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 2025-09-07T10:40:59.5871656Z triton_mm_948 0.0092 ms 88.9% 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 2025-09-07T10:40:59.5873898Z triton_mm_949 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:40:59.5876188Z triton_mm_954 0.0092 ms 88.9% 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 2025-09-07T10:40:59.5878525Z triton_mm_958 0.0092 ms 88.9% 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 2025-09-07T10:40:59.5880883Z triton_mm_947 0.0102 ms 80.0% 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 2025-09-07T10:40:59.5883671Z triton_mm_953 0.0102 ms 80.0% 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 2025-09-07T10:40:59.5886015Z triton_mm_957 0.0102 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:40:59.5888282Z triton_mm_960 0.0102 ms 80.0% 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 2025-09-07T10:40:59.5890496Z triton_mm_962 0.0102 ms 80.0% 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 2025-09-07T10:40:59.5892404Z SingleProcess AUTOTUNE benchmarking takes 0.2810 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:00.3233317Z Autotune Choices Stats: 2025-09-07T10:41:00.3234551Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1250", "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} 2025-09-07T10:41:00.3241051Z AUTOTUNE addmm(8x80, 8x960, 960x80) 2025-09-07T10:41:00.3241375Z strides: [0, 1], [960, 1], [1, 960] 2025-09-07T10:41:00.3241726Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:00.3242559Z triton_mm_1250 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 2025-09-07T10:41:00.3243785Z triton_mm_1254 0.0102 ms 90.0% 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 2025-09-07T10:41:00.3244996Z triton_mm_1248 0.0123 ms 75.0% 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 2025-09-07T10:41:00.3246181Z triton_mm_1249 0.0123 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 2025-09-07T10:41:00.3247384Z triton_mm_1258 0.0123 ms 75.0% 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 2025-09-07T10:41:00.3248152Z bias_addmm 0.0133 ms 69.2% 2025-09-07T10:41:00.3248857Z triton_mm_1253 0.0133 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:00.3250042Z triton_mm_1262 0.0133 ms 69.2% 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 2025-09-07T10:41:00.3251249Z triton_mm_1247 0.0143 ms 64.3% 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 2025-09-07T10:41:00.3252457Z triton_mm_1257 0.0143 ms 64.3% 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=3, num_warps=4 2025-09-07T10:41:00.3253778Z SingleProcess AUTOTUNE benchmarking takes 0.3368 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:00.6086890Z Autotune Choices Stats: 2025-09-07T10:41:00.6088085Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_866", "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} 2025-09-07T10:41:00.6095291Z AUTOTUNE addmm(8x52, 8x624, 624x52) 2025-09-07T10:41:00.6095658Z strides: [0, 1], [624, 1], [1, 624] 2025-09-07T10:41:00.6096021Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:00.6096888Z triton_mm_866 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 2025-09-07T10:41:00.6098117Z triton_mm_870 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 2025-09-07T10:41:00.6099334Z triton_mm_874 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 2025-09-07T10:41:00.6100522Z triton_mm_864 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 2025-09-07T10:41:00.6101727Z triton_mm_865 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 2025-09-07T10:41:00.6103261Z triton_mm_873 0.0102 ms 90.0% 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 2025-09-07T10:41:00.6104476Z triton_mm_863 0.0113 ms 81.8% 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 2025-09-07T10:41:00.6105749Z triton_mm_869 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:00.6106937Z triton_mm_872 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 2025-09-07T10:41:00.6108141Z triton_mm_871 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=3, num_warps=4 2025-09-07T10:41:00.6109154Z SingleProcess AUTOTUNE benchmarking takes 0.2585 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:41:01.0927529Z Autotune Choices Stats: 2025-09-07T10:41:01.0928770Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_251", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:41:01.0935363Z AUTOTUNE addmm(8x28, 8x336, 336x28) 2025-09-07T10:41:01.0935682Z strides: [0, 1], [336, 1], [1, 336] 2025-09-07T10:41:01.0936056Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:01.0936874Z triton_mm_251 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 2025-09-07T10:41:01.0938104Z triton_mm_257 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 2025-09-07T10:41:01.0939316Z triton_mm_258 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 2025-09-07T10:41:01.0940515Z triton_mm_249 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 2025-09-07T10:41:01.0941705Z triton_mm_250 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 2025-09-07T10:41:01.0943240Z triton_mm_254 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 2025-09-07T10:41:01.0944428Z triton_mm_256 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 2025-09-07T10:41:01.0945681Z triton_mm_255 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 2025-09-07T10:41:01.0946870Z triton_mm_253 0.0123 ms 66.7% 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 2025-09-07T10:41:01.0947627Z bias_addmm 0.0133 ms 61.5% 2025-09-07T10:41:01.0948196Z SingleProcess AUTOTUNE benchmarking takes 0.2344 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:41:01.7803882Z Autotune Choices Stats: 2025-09-07T10:41:01.7806808Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_591", "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} 2025-09-07T10:41:01.7817541Z AUTOTUNE addmm(8x26, 8x624, 624x26) 2025-09-07T10:41:01.7817913Z strides: [0, 1], [624, 1], [1, 624] 2025-09-07T10:41:01.7818272Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:01.7819117Z triton_mm_591 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 2025-09-07T10:41:01.7820336Z triton_mm_590 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 2025-09-07T10:41:01.7821553Z triton_mm_596 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=4, num_warps=2 2025-09-07T10:41:01.7822757Z triton_mm_589 0.0123 ms 75.0% 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 2025-09-07T10:41:01.7823956Z triton_mm_595 0.0133 ms 69.2% 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 2025-09-07T10:41:01.7825205Z triton_mm_593 0.0184 ms 50.0% 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 2025-09-07T10:41:01.7826393Z triton_mm_592 0.0287 ms 32.1% 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 2025-09-07T10:41:01.7827573Z triton_mm_594 0.0389 ms 23.7% 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 2025-09-07T10:41:01.7828750Z triton_mm_598 0.0420 ms 22.0% 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 2025-09-07T10:41:01.7829946Z triton_mm_597 0.0430 ms 21.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2 2025-09-07T10:41:01.7830991Z SingleProcess AUTOTUNE benchmarking takes 0.3333 seconds and 0.0004 seconds precompiling for 13 choices 2025-09-07T10:41:02.2985084Z Autotune Choices Stats: 2025-09-07T10:41:02.2986309Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_182", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:41:02.2993428Z AUTOTUNE addmm(8x20, 8x240, 240x20) 2025-09-07T10:41:02.2993751Z strides: [0, 1], [240, 1], [1, 240] 2025-09-07T10:41:02.2994117Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:02.2994943Z triton_mm_182 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=5, num_warps=2 2025-09-07T10:41:02.2996150Z triton_mm_173 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:41:02.2997345Z triton_mm_174 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 2025-09-07T10:41:02.2998541Z triton_mm_175 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:41:02.2999910Z triton_mm_178 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=3, num_warps=2 2025-09-07T10:41:02.3001102Z 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=4, num_warps=2 2025-09-07T10:41:02.3002296Z triton_mm_181 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2 2025-09-07T10:41:02.3003494Z triton_mm_179 0.0092 ms 77.8% 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 2025-09-07T10:41:02.3004683Z triton_mm_177 0.0102 ms 70.0% 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 2025-09-07T10:41:02.3005436Z bias_addmm 0.0133 ms 53.8% 2025-09-07T10:41:02.3005990Z SingleProcess AUTOTUNE benchmarking takes 0.2274 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:41:02.7324128Z Autotune Choices Stats: 2025-09-07T10:41:02.7325353Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_510", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:41:02.7333896Z AUTOTUNE addmm(8x14, 8x336, 336x14) 2025-09-07T10:41:02.7334285Z strides: [0, 1], [336, 1], [1, 336] 2025-09-07T10:41:02.7334643Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:02.7335472Z triton_mm_510 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:41:02.7336700Z triton_mm_511 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:41:02.7337909Z triton_mm_512 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:41:02.7339113Z triton_mm_515 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:41:02.7340305Z triton_mm_517 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:41:02.7341859Z triton_mm_518 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:41:02.7343068Z triton_mm_519 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:41:02.7344247Z triton_mm_516 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:41:02.7345072Z bias_addmm 0.0123 ms 66.7% 2025-09-07T10:41:02.7345819Z triton_mm_514 0.0123 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:41:02.7346845Z SingleProcess AUTOTUNE benchmarking takes 0.1998 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:41:03.4734572Z Autotune Choices Stats: 2025-09-07T10:41:03.4736705Z {"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"} 2025-09-07T10:41:03.4743398Z AUTOTUNE convolution(8x3x224x224, 32x3x3x3) 2025-09-07T10:41:03.4743747Z strides: [150528, 1, 672, 3], [27, 1, 9, 3] 2025-09-07T10:41:03.4744084Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:03.4744390Z convolution 0.0205 ms 100.0% 2025-09-07T10:41:03.4745360Z 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 2025-09-07T10:41:03.4746859Z triton_convolution2d_4 0.0348 ms 58.8% 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 2025-09-07T10:41:03.4748330Z triton_convolution2d_0 0.0389 ms 52.6% 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 2025-09-07T10:41:03.4749812Z triton_convolution2d_3 0.0440 ms 46.5% 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 2025-09-07T10:41:03.4751297Z 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 2025-09-07T10:41:03.4752781Z 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 2025-09-07T10:41:03.4753939Z SingleProcess AUTOTUNE benchmarking takes 0.1159 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:41:03.6881752Z Autotune Choices Stats: 2025-09-07T10:41:03.6882905Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_10", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:41:03.6891527Z AUTOTUNE mm(100352x32, 32x32) 2025-09-07T10:41:03.6891914Z strides: [32, 1], [1, 32] 2025-09-07T10:41:03.6892431Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:03.6893421Z triton_mm_10 0.0154 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 2025-09-07T10:41:03.6894629Z triton_mm_12 0.0154 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 2025-09-07T10:41:03.6895815Z triton_mm_14 0.0154 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 2025-09-07T10:41:03.6897002Z triton_mm_16 0.0154 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=4, num_warps=4 2025-09-07T10:41:03.6898184Z triton_mm_17 0.0154 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 2025-09-07T10:41:03.6899350Z triton_mm_7 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:41:03.6900671Z triton_mm_8 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:03.6901840Z triton_mm_9 0.0164 ms 93.7% 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 2025-09-07T10:41:03.6903006Z triton_mm_13 0.0164 ms 93.7% 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=3, num_warps=8 2025-09-07T10:41:03.6904184Z triton_mm_15 0.0164 ms 93.7% 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=4, num_warps=8 2025-09-07T10:41:03.6905268Z SingleProcess AUTOTUNE benchmarking takes 0.2128 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T10:41:03.9273294Z Autotune Choices Stats: 2025-09-07T10:41:03.9274433Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_21", "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} 2025-09-07T10:41:03.9283433Z AUTOTUNE mm(100352x16, 16x96) 2025-09-07T10:41:03.9283923Z strides: [16, 1], [1, 16] 2025-09-07T10:41:03.9284209Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:03.9284976Z triton_mm_21 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 2025-09-07T10:41:03.9286172Z triton_mm_22 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 2025-09-07T10:41:03.9287334Z triton_mm_24 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 2025-09-07T10:41:03.9288522Z triton_mm_25 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 2025-09-07T10:41:03.9289694Z triton_mm_26 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 2025-09-07T10:41:03.9290877Z triton_mm_29 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:03.9292276Z triton_mm_34 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 2025-09-07T10:41:03.9293681Z triton_mm_35 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 2025-09-07T10:41:03.9294879Z triton_mm_36 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=5, num_warps=8 2025-09-07T10:41:03.9296048Z triton_mm_27 0.0236 ms 95.7% 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 2025-09-07T10:41:03.9297075Z SingleProcess AUTOTUNE benchmarking takes 0.2385 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:41:04.1787043Z Autotune Choices Stats: 2025-09-07T10:41:04.1788250Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_59", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:41:04.1798637Z AUTOTUNE mm(25088x96, 96x20) 2025-09-07T10:41:04.1798925Z strides: [96, 1], [1, 96] 2025-09-07T10:41:04.1799541Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:04.1800313Z triton_mm_59 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=2, num_warps=4 2025-09-07T10:41:04.1801499Z triton_mm_61 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=3, num_warps=4 2025-09-07T10:41:04.1802688Z triton_mm_65 0.0133 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 2025-09-07T10:41:04.1803891Z triton_mm_67 0.0133 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 2025-09-07T10:41:04.1805068Z triton_mm_53 0.0143 ms 92.9% 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 2025-09-07T10:41:04.1806241Z triton_mm_56 0.0143 ms 92.9% 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 2025-09-07T10:41:04.1807425Z triton_mm_57 0.0143 ms 92.9% 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 2025-09-07T10:41:04.1808613Z triton_mm_58 0.0143 ms 92.9% 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 2025-09-07T10:41:04.1809789Z triton_mm_60 0.0143 ms 92.9% 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=3, num_warps=8 2025-09-07T10:41:04.1810977Z triton_mm_62 0.0143 ms 92.9% 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=4, num_warps=8 2025-09-07T10:41:04.1811996Z SingleProcess AUTOTUNE benchmarking takes 0.2503 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:41:04.4191456Z Autotune Choices Stats: 2025-09-07T10:41:04.4192651Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_94", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:41:04.4203049Z AUTOTUNE mm(25088x20, 20x60) 2025-09-07T10:41:04.4203382Z strides: [20, 1], [1, 20] 2025-09-07T10:41:04.4203673Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:04.4204455Z triton_mm_94 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 2025-09-07T10:41:04.4205662Z triton_mm_88 0.0102 ms 90.0% 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 2025-09-07T10:41:04.4206856Z triton_mm_89 0.0102 ms 90.0% 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 2025-09-07T10:41:04.4208037Z triton_mm_90 0.0102 ms 90.0% 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 2025-09-07T10:41:04.4209223Z triton_mm_91 0.0102 ms 90.0% 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 2025-09-07T10:41:04.4210553Z triton_mm_92 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 2025-09-07T10:41:04.4211803Z triton_mm_93 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 2025-09-07T10:41:04.4213263Z triton_mm_95 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=5, num_warps=4 2025-09-07T10:41:04.4214468Z triton_mm_96 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=3, num_warps=4 2025-09-07T10:41:04.4215673Z triton_mm_97 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=4, num_warps=8 2025-09-07T10:41:04.4216706Z SingleProcess AUTOTUNE benchmarking takes 0.2392 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:41:04.6753709Z Autotune Choices Stats: 2025-09-07T10:41:04.6754982Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_120", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:41:04.6756198Z AUTOTUNE mm(25088x60, 60x20) 2025-09-07T10:41:04.6756495Z strides: [60, 1], [1, 60] 2025-09-07T10:41:04.6756852Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:04.6757650Z triton_mm_120 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 2025-09-07T10:41:04.6758864Z triton_mm_126 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 2025-09-07T10:41:04.6760085Z triton_mm_135 0.0113 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 2025-09-07T10:41:04.6761295Z triton_mm_123 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:04.6762483Z triton_mm_125 0.0123 ms 91.7% 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=2, num_warps=4 2025-09-07T10:41:04.6763944Z triton_mm_127 0.0123 ms 91.7% 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=3, num_warps=4 2025-09-07T10:41:04.6765144Z triton_mm_129 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:04.6766343Z triton_mm_130 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:41:04.6767540Z triton_mm_131 0.0123 ms 91.7% 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 2025-09-07T10:41:04.6768840Z triton_mm_132 0.0123 ms 91.7% 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 2025-09-07T10:41:04.6769974Z SingleProcess AUTOTUNE benchmarking takes 0.2540 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:41:04.9770637Z Autotune Choices Stats: 2025-09-07T10:41:04.9772246Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_161", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:41:04.9785551Z AUTOTUNE mm(25088x40, 40x240) 2025-09-07T10:41:04.9786012Z strides: [40, 1], [1, 40] 2025-09-07T10:41:04.9786421Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:04.9787293Z triton_mm_161 0.0174 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 2025-09-07T10:41:04.9788630Z triton_mm_164 0.0184 ms 94.4% 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 2025-09-07T10:41:04.9789886Z triton_mm_160 0.0195 ms 89.5% 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 2025-09-07T10:41:04.9791198Z triton_mm_165 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:41:04.9792504Z triton_mm_170 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:04.9793832Z triton_mm_171 0.0205 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:04.9795145Z triton_mm_157 0.0215 ms 81.0% 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 2025-09-07T10:41:04.9796443Z triton_mm_169 0.0215 ms 81.0% 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 2025-09-07T10:41:04.9797767Z triton_mm_166 0.0225 ms 77.3% 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 2025-09-07T10:41:04.9799052Z triton_mm_167 0.0225 ms 77.3% 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 2025-09-07T10:41:04.9800156Z SingleProcess AUTOTUNE benchmarking takes 0.3016 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:41:05.2161933Z Autotune Choices Stats: 2025-09-07T10:41:05.2163712Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_183", "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} 2025-09-07T10:41:05.2175527Z AUTOTUNE addmm(8x240, 8x20, 20x240) 2025-09-07T10:41:05.2175924Z strides: [0, 1], [20, 1], [1, 20] 2025-09-07T10:41:05.2176372Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:05.2177286Z triton_mm_183 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 2025-09-07T10:41:05.2178596Z triton_mm_184 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 2025-09-07T10:41:05.2179890Z triton_mm_185 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 2025-09-07T10:41:05.2181191Z triton_mm_186 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 2025-09-07T10:41:05.2182706Z triton_mm_187 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 2025-09-07T10:41:05.2184008Z triton_mm_188 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 2025-09-07T10:41:05.2185386Z triton_mm_189 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 2025-09-07T10:41:05.2186701Z triton_mm_190 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=3, num_warps=4 2025-09-07T10:41:05.2188017Z triton_mm_191 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 2025-09-07T10:41:05.2189331Z triton_mm_192 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=4 2025-09-07T10:41:05.2190476Z SingleProcess AUTOTUNE benchmarking takes 0.2381 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:41:05.4866043Z Autotune Choices Stats: 2025-09-07T10:41:05.4867263Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_203", "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} 2025-09-07T10:41:05.4883018Z AUTOTUNE mm(6272x240, 240x56) 2025-09-07T10:41:05.4883447Z strides: [240, 1], [1, 240] 2025-09-07T10:41:05.4883835Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:05.4884720Z triton_mm_203 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 2025-09-07T10:41:05.4886011Z triton_mm_206 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=4, num_warps=8 2025-09-07T10:41:05.4887307Z triton_mm_207 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 2025-09-07T10:41:05.4888609Z triton_mm_208 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=4, num_warps=4 2025-09-07T10:41:05.4890203Z triton_mm_210 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 2025-09-07T10:41:05.4891051Z mm 0.0133 ms 92.3% 2025-09-07T10:41:05.4891839Z triton_mm_199 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 2025-09-07T10:41:05.4893394Z triton_mm_204 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 2025-09-07T10:41:05.4894655Z triton_mm_205 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=4 2025-09-07T10:41:05.4895955Z triton_mm_209 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 2025-09-07T10:41:05.4897059Z SingleProcess AUTOTUNE benchmarking takes 0.2700 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:05.7416646Z Autotune Choices Stats: 2025-09-07T10:41:05.7418176Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_214", "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} 2025-09-07T10:41:05.7431335Z AUTOTUNE mm(6272x28, 28x168) 2025-09-07T10:41:05.7431754Z strides: [28, 1], [1, 28] 2025-09-07T10:41:05.7432132Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:05.7433005Z triton_mm_214 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 2025-09-07T10:41:05.7434318Z triton_mm_215 0.0092 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 2025-09-07T10:41:05.7435605Z triton_mm_216 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 2025-09-07T10:41:05.7436881Z triton_mm_217 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 2025-09-07T10:41:05.7438159Z triton_mm_218 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=4 2025-09-07T10:41:05.7439393Z triton_mm_219 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 2025-09-07T10:41:05.7440684Z triton_mm_220 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 2025-09-07T10:41:05.7441964Z triton_mm_221 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 2025-09-07T10:41:05.7443240Z triton_mm_222 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 2025-09-07T10:41:05.7444528Z triton_mm_223 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 2025-09-07T10:41:05.7445852Z SingleProcess AUTOTUNE benchmarking takes 0.2541 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:41:05.9754982Z Autotune Choices Stats: 2025-09-07T10:41:05.9756268Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_259", "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} 2025-09-07T10:41:05.9770620Z AUTOTUNE addmm(8x336, 8x28, 28x336) 2025-09-07T10:41:05.9771087Z strides: [0, 1], [28, 1], [1, 28] 2025-09-07T10:41:05.9771553Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:05.9772479Z triton_mm_259 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 2025-09-07T10:41:05.9774012Z triton_mm_260 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 2025-09-07T10:41:05.9775326Z triton_mm_261 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 2025-09-07T10:41:05.9776977Z triton_mm_262 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 2025-09-07T10:41:05.9778302Z triton_mm_263 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 2025-09-07T10:41:05.9779591Z triton_mm_264 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 2025-09-07T10:41:05.9780906Z triton_mm_265 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 2025-09-07T10:41:05.9782241Z triton_mm_266 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=3, num_warps=4 2025-09-07T10:41:05.9783529Z triton_mm_267 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 2025-09-07T10:41:05.9784973Z triton_mm_268 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=4 2025-09-07T10:41:05.9786134Z SingleProcess AUTOTUNE benchmarking takes 0.2325 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:41:06.2287807Z Autotune Choices Stats: 2025-09-07T10:41:06.2289080Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_275", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:41:06.2303388Z AUTOTUNE mm(6272x168, 168x28) 2025-09-07T10:41:06.2303763Z strides: [168, 1], [1, 168] 2025-09-07T10:41:06.2304144Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:06.2305102Z triton_mm_275 0.0102 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 2025-09-07T10:41:06.2306407Z triton_mm_282 0.0102 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 2025-09-07T10:41:06.2307689Z triton_mm_279 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=3, num_warps=8 2025-09-07T10:41:06.2309316Z triton_mm_280 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=3, num_warps=4 2025-09-07T10:41:06.2310575Z triton_mm_281 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=4, num_warps=8 2025-09-07T10:41:06.2311860Z triton_mm_283 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=4, num_warps=4 2025-09-07T10:41:06.2313158Z triton_mm_284 0.0113 ms 90.9% 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 2025-09-07T10:41:06.2314446Z triton_mm_285 0.0113 ms 90.9% 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 2025-09-07T10:41:06.2315746Z triton_mm_287 0.0113 ms 90.9% 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 2025-09-07T10:41:06.2322604Z triton_mm_288 0.0113 ms 90.9% 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 2025-09-07T10:41:06.2323972Z SingleProcess AUTOTUNE benchmarking takes 0.2525 seconds and 0.0004 seconds precompiling for 18 choices 2025-09-07T10:41:06.5188792Z Autotune Choices Stats: 2025-09-07T10:41:06.5190091Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_494", "best_kernel_desc": "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", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:41:06.5204890Z AUTOTUNE mm(6272x56, 56x336) 2025-09-07T10:41:06.5205326Z strides: [56, 1], [1, 56] 2025-09-07T10:41:06.5205661Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:06.5206522Z triton_mm_494 0.0123 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 2025-09-07T10:41:06.5207843Z triton_mm_497 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 2025-09-07T10:41:06.5209126Z triton_mm_498 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 2025-09-07T10:41:06.5210422Z triton_mm_501 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 2025-09-07T10:41:06.5211730Z triton_mm_502 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 2025-09-07T10:41:06.5213253Z triton_mm_508 0.0123 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 2025-09-07T10:41:06.5214560Z triton_mm_491 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:41:06.5215842Z triton_mm_503 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 2025-09-07T10:41:06.5217131Z triton_mm_504 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 2025-09-07T10:41:06.5218760Z triton_mm_505 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 2025-09-07T10:41:06.5219890Z SingleProcess AUTOTUNE benchmarking takes 0.2837 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:41:06.7382989Z Autotune Choices Stats: 2025-09-07T10:41:06.7385335Z {"num_choices": 14, "num_triton_choices": 12, "best_kernel": "triton_mm_520", "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} 2025-09-07T10:41:06.7399377Z AUTOTUNE addmm(8x336, 8x14, 14x336) 2025-09-07T10:41:06.7399831Z strides: [0, 1], [14, 1], [1, 14] 2025-09-07T10:41:06.7400198Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:06.7401139Z triton_mm_520 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 2025-09-07T10:41:06.7402409Z triton_mm_521 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 2025-09-07T10:41:06.7404145Z triton_mm_522 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 2025-09-07T10:41:06.7406351Z triton_mm_523 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 2025-09-07T10:41:06.7408379Z triton_mm_524 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 2025-09-07T10:41:06.7410419Z triton_mm_525 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 2025-09-07T10:41:06.7412506Z triton_mm_526 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 2025-09-07T10:41:06.7414821Z triton_mm_527 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 2025-09-07T10:41:06.7416119Z triton_mm_528 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 2025-09-07T10:41:06.7417417Z triton_mm_529 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 2025-09-07T10:41:06.7418549Z SingleProcess AUTOTUNE benchmarking takes 0.2185 seconds and 0.0003 seconds precompiling for 14 choices 2025-09-07T10:41:07.0150923Z Autotune Choices Stats: 2025-09-07T10:41:07.0152235Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_535", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:41:07.0167357Z AUTOTUNE mm(1568x336, 336x104) 2025-09-07T10:41:07.0167789Z strides: [336, 1], [1, 336] 2025-09-07T10:41:07.0168186Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:07.0169061Z triton_mm_535 0.0102 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 2025-09-07T10:41:07.0170707Z triton_mm_536 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 2025-09-07T10:41:07.0172033Z triton_mm_533 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 2025-09-07T10:41:07.0173827Z triton_mm_534 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 2025-09-07T10:41:07.0175126Z triton_mm_539 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 2025-09-07T10:41:07.0176412Z triton_mm_540 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 2025-09-07T10:41:07.0177264Z mm 0.0123 ms 83.3% 2025-09-07T10:41:07.0178018Z triton_mm_542 0.0123 ms 83.3% 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 2025-09-07T10:41:07.0179308Z triton_mm_543 0.0123 ms 83.3% 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 2025-09-07T10:41:07.0180790Z triton_mm_545 0.0123 ms 83.3% 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 2025-09-07T10:41:07.0181936Z SingleProcess AUTOTUNE benchmarking takes 0.2761 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:07.2979052Z Autotune Choices Stats: 2025-09-07T10:41:07.2980321Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_550", "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} 2025-09-07T10:41:07.2996279Z AUTOTUNE mm(1568x52, 52x312) 2025-09-07T10:41:07.2996616Z strides: [52, 1], [1, 52] 2025-09-07T10:41:07.2996991Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:07.2997858Z triton_mm_550 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 2025-09-07T10:41:07.2999157Z triton_mm_551 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 2025-09-07T10:41:07.3000444Z triton_mm_554 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 2025-09-07T10:41:07.3001739Z triton_mm_555 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 2025-09-07T10:41:07.3003022Z triton_mm_556 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 2025-09-07T10:41:07.3004224Z triton_mm_557 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 2025-09-07T10:41:07.3005492Z triton_mm_558 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 2025-09-07T10:41:07.3006788Z triton_mm_559 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 2025-09-07T10:41:07.3008350Z triton_mm_560 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 2025-09-07T10:41:07.3009641Z triton_mm_561 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 2025-09-07T10:41:07.3010778Z SingleProcess AUTOTUNE benchmarking takes 0.2821 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:41:07.5346378Z Autotune Choices Stats: 2025-09-07T10:41:07.5347642Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_599", "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} 2025-09-07T10:41:07.5365187Z AUTOTUNE addmm(8x624, 8x26, 26x624) 2025-09-07T10:41:07.5365590Z strides: [0, 1], [26, 1], [1, 26] 2025-09-07T10:41:07.5365933Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:07.5366771Z triton_mm_599 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 2025-09-07T10:41:07.5368333Z triton_mm_600 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 2025-09-07T10:41:07.5369540Z triton_mm_602 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 2025-09-07T10:41:07.5370738Z triton_mm_609 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 2025-09-07T10:41:07.5371951Z triton_mm_601 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 2025-09-07T10:41:07.5373485Z triton_mm_603 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 2025-09-07T10:41:07.5374695Z triton_mm_604 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 2025-09-07T10:41:07.5375886Z triton_mm_605 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 2025-09-07T10:41:07.5377076Z triton_mm_606 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 2025-09-07T10:41:07.5378284Z triton_mm_607 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 2025-09-07T10:41:07.5379318Z SingleProcess AUTOTUNE benchmarking takes 0.2353 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:41:07.8007672Z Autotune Choices Stats: 2025-09-07T10:41:07.8008901Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_615", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:41:07.8025189Z AUTOTUNE mm(1568x312, 312x52) 2025-09-07T10:41:07.8025500Z strides: [312, 1], [1, 312] 2025-09-07T10:41:07.8025805Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:07.8026577Z triton_mm_615 0.0102 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 2025-09-07T10:41:07.8028130Z triton_mm_616 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 2025-09-07T10:41:07.8029337Z triton_mm_619 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 2025-09-07T10:41:07.8030537Z triton_mm_623 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=4 2025-09-07T10:41:07.8031733Z triton_mm_613 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 2025-09-07T10:41:07.8032903Z triton_mm_614 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 2025-09-07T10:41:07.8034098Z triton_mm_620 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 2025-09-07T10:41:07.8035430Z triton_mm_621 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 2025-09-07T10:41:07.8036618Z triton_mm_622 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 2025-09-07T10:41:07.8037802Z triton_mm_624 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 2025-09-07T10:41:07.8038839Z SingleProcess AUTOTUNE benchmarking takes 0.2652 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:41:08.0737017Z Autotune Choices Stats: 2025-09-07T10:41:08.0738226Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_848", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:41:08.0754474Z AUTOTUNE mm(1568x104, 104x624) 2025-09-07T10:41:08.0754788Z strides: [104, 1], [1, 104] 2025-09-07T10:41:08.0755100Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:08.0755872Z triton_mm_848 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 2025-09-07T10:41:08.0757085Z triton_mm_850 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 2025-09-07T10:41:08.0758297Z triton_mm_852 0.0113 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 2025-09-07T10:41:08.0759505Z triton_mm_853 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 2025-09-07T10:41:08.0760714Z triton_mm_859 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 2025-09-07T10:41:08.0761915Z triton_mm_851 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 2025-09-07T10:41:08.0763104Z triton_mm_854 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:08.0764552Z triton_mm_855 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 2025-09-07T10:41:08.0765741Z triton_mm_856 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:08.0767033Z triton_mm_857 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:08.0768120Z SingleProcess AUTOTUNE benchmarking takes 0.2658 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:08.3781238Z Autotune Choices Stats: 2025-09-07T10:41:08.3782590Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_876", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:41:08.3800573Z AUTOTUNE addmm(8x624, 8x52, 52x624) 2025-09-07T10:41:08.3801191Z strides: [0, 1], [52, 1], [1, 52] 2025-09-07T10:41:08.3801829Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:08.3803745Z triton_mm_876 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 2025-09-07T10:41:08.3806099Z triton_mm_877 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 2025-09-07T10:41:08.3808517Z triton_mm_878 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 2025-09-07T10:41:08.3810944Z triton_mm_879 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 2025-09-07T10:41:08.3813700Z triton_mm_880 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 2025-09-07T10:41:08.3816094Z triton_mm_881 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 2025-09-07T10:41:08.3818507Z triton_mm_882 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 2025-09-07T10:41:08.3820929Z triton_mm_885 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=4, num_warps=8 2025-09-07T10:41:08.3823356Z triton_mm_886 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=3, num_warps=4 2025-09-07T10:41:08.3825862Z triton_mm_887 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=4, num_warps=4 2025-09-07T10:41:08.3827922Z SingleProcess AUTOTUNE benchmarking takes 0.3037 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:08.7289749Z Autotune Choices Stats: 2025-09-07T10:41:08.7291949Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_900", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:41:08.7308182Z AUTOTUNE mm(1568x624, 624x160) 2025-09-07T10:41:08.7308536Z strides: [624, 1], [1, 624] 2025-09-07T10:41:08.7308822Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:08.7309610Z triton_mm_900 0.0133 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 2025-09-07T10:41:08.7310382Z mm 0.0143 ms 92.9% 2025-09-07T10:41:08.7311107Z triton_mm_902 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:08.7312308Z triton_mm_903 0.0154 ms 86.7% 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 2025-09-07T10:41:08.7313496Z triton_mm_905 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:08.7314698Z triton_mm_901 0.0184 ms 72.2% 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 2025-09-07T10:41:08.7316249Z triton_mm_904 0.0184 ms 72.2% 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 2025-09-07T10:41:08.7317457Z triton_mm_908 0.0195 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:08.7318676Z triton_mm_909 0.0195 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:08.7319889Z triton_mm_907 0.0215 ms 61.9% 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 2025-09-07T10:41:08.7320941Z SingleProcess AUTOTUNE benchmarking takes 0.3500 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:08.9910076Z Autotune Choices Stats: 2025-09-07T10:41:08.9912451Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.009216000325977802, "best_triton_pos": 1, "best_triton_time": 0.009216000325977802, "best_triton_kernel": "triton_mm_911", "best_triton_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"} 2025-09-07T10:41:08.9930325Z AUTOTUNE mm(1568x80, 80x240) 2025-09-07T10:41:08.9930915Z strides: [80, 1], [1, 80] 2025-09-07T10:41:08.9931445Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:08.9932015Z mm 0.0092 ms 100.0% 2025-09-07T10:41:08.9933666Z triton_mm_911 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 2025-09-07T10:41:08.9936062Z triton_mm_912 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 2025-09-07T10:41:08.9938467Z triton_mm_913 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 2025-09-07T10:41:08.9940860Z triton_mm_914 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 2025-09-07T10:41:08.9943256Z triton_mm_916 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 2025-09-07T10:41:08.9946124Z triton_mm_917 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 2025-09-07T10:41:08.9948105Z triton_mm_918 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 2025-09-07T10:41:08.9950075Z triton_mm_919 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 2025-09-07T10:41:08.9952073Z triton_mm_920 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 2025-09-07T10:41:08.9953609Z SingleProcess AUTOTUNE benchmarking takes 0.2614 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:09.3323045Z Autotune Choices Stats: 2025-09-07T10:41:09.3324303Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_966", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:41:09.3344321Z AUTOTUNE addmm(8x480, 8x80, 80x480) 2025-09-07T10:41:09.3344837Z strides: [0, 1], [80, 1], [1, 80] 2025-09-07T10:41:09.3345500Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:09.3346378Z triton_mm_966 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 2025-09-07T10:41:09.3347155Z bias_addmm 0.0082 ms 87.5% 2025-09-07T10:41:09.3347871Z triton_mm_965 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 2025-09-07T10:41:09.3349070Z triton_mm_969 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 2025-09-07T10:41:09.3350329Z triton_mm_970 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:09.3351522Z triton_mm_972 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 2025-09-07T10:41:09.3352711Z triton_mm_973 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 2025-09-07T10:41:09.3353904Z triton_mm_974 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:09.3355100Z triton_mm_979 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:09.3356341Z triton_mm_963 0.0092 ms 77.8% 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 2025-09-07T10:41:09.3357366Z SingleProcess AUTOTUNE benchmarking takes 0.3366 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:41:09.5977707Z Autotune Choices Stats: 2025-09-07T10:41:09.5979758Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_983", "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} 2025-09-07T10:41:09.5999745Z AUTOTUNE mm(1568x240, 240x80) 2025-09-07T10:41:09.6000691Z strides: [240, 1], [1, 240] 2025-09-07T10:41:09.6001212Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:09.6002617Z triton_mm_983 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 2025-09-07T10:41:09.6004983Z triton_mm_984 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 2025-09-07T10:41:09.6007149Z triton_mm_981 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 2025-09-07T10:41:09.6009227Z triton_mm_982 0.0102 ms 90.0% 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 2025-09-07T10:41:09.6011424Z triton_mm_987 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 2025-09-07T10:41:09.6014152Z triton_mm_988 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 2025-09-07T10:41:09.6016750Z triton_mm_990 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 2025-09-07T10:41:09.6018999Z triton_mm_991 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 2025-09-07T10:41:09.6020392Z mm 0.0113 ms 81.8% 2025-09-07T10:41:09.6021681Z triton_mm_989 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 2025-09-07T10:41:09.6023635Z SingleProcess AUTOTUNE benchmarking takes 0.2647 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:09.8733847Z Autotune Choices Stats: 2025-09-07T10:41:09.8735110Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1237", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:41:09.8755119Z AUTOTUNE mm(1568x160, 160x960) 2025-09-07T10:41:09.8755663Z strides: [160, 1], [1, 160] 2025-09-07T10:41:09.8755966Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:09.8756748Z triton_mm_1237 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 2025-09-07T10:41:09.8757971Z triton_mm_1240 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 2025-09-07T10:41:09.8759209Z triton_mm_1241 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 2025-09-07T10:41:09.8760423Z triton_mm_1243 0.0123 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 2025-09-07T10:41:09.8761172Z mm 0.0133 ms 92.3% 2025-09-07T10:41:09.8761880Z triton_mm_1234 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:41:09.8763076Z triton_mm_1238 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 2025-09-07T10:41:09.8764576Z triton_mm_1239 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 2025-09-07T10:41:09.8765787Z triton_mm_1244 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 2025-09-07T10:41:09.8767010Z triton_mm_1245 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 2025-09-07T10:41:09.8768051Z SingleProcess AUTOTUNE benchmarking takes 0.2615 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:10.1426623Z Autotune Choices Stats: 2025-09-07T10:41:10.1427858Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1266", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:41:10.1448481Z AUTOTUNE addmm(8x960, 8x80, 80x960) 2025-09-07T10:41:10.1448816Z strides: [0, 1], [80, 1], [1, 80] 2025-09-07T10:41:10.1449168Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:10.1450365Z triton_mm_1266 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 2025-09-07T10:41:10.1451579Z triton_mm_1265 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 2025-09-07T10:41:10.1453037Z triton_mm_1269 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 2025-09-07T10:41:10.1454256Z triton_mm_1270 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:10.1455453Z triton_mm_1271 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:10.1456672Z triton_mm_1272 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 2025-09-07T10:41:10.1457873Z triton_mm_1273 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 2025-09-07T10:41:10.1459080Z triton_mm_1274 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:10.1460281Z triton_mm_1276 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 2025-09-07T10:41:10.1461479Z triton_mm_1277 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=4, num_warps=4 2025-09-07T10:41:10.1462515Z SingleProcess AUTOTUNE benchmarking takes 0.2686 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:10.4124373Z Autotune Choices Stats: 2025-09-07T10:41:10.4125886Z {"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_1284", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:41:10.4146866Z AUTOTUNE mm(392x960, 960x264) 2025-09-07T10:41:10.4147274Z strides: [960, 1], [1, 960] 2025-09-07T10:41:10.4147575Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:10.4147889Z mm 0.0123 ms 100.0% 2025-09-07T10:41:10.4148609Z triton_mm_1284 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 2025-09-07T10:41:10.4149835Z triton_mm_1282 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:10.4151040Z triton_mm_1288 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 2025-09-07T10:41:10.4152240Z triton_mm_1281 0.0154 ms 80.0% 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 2025-09-07T10:41:10.4153444Z triton_mm_1283 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:41:10.4154806Z triton_mm_1287 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:41:10.4155996Z triton_mm_1291 0.0184 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:10.4157198Z triton_mm_1293 0.0184 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:10.4158395Z triton_mm_1290 0.0205 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:10.4159427Z SingleProcess AUTOTUNE benchmarking takes 0.2691 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:10.6707578Z Autotune Choices Stats: 2025-09-07T10:41:10.6708777Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1308", "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=4, num_warps=8", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:41:10.6729280Z AUTOTUNE mm(392x264, 264x1584) 2025-09-07T10:41:10.6729599Z strides: [264, 1], [1, 264] 2025-09-07T10:41:10.6729892Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:10.6730670Z triton_mm_1308 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 2025-09-07T10:41:10.6731448Z mm 0.0133 ms 92.3% 2025-09-07T10:41:10.6732137Z triton_mm_1307 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 2025-09-07T10:41:10.6733601Z triton_mm_1309 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 2025-09-07T10:41:10.6734805Z triton_mm_1310 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 2025-09-07T10:41:10.6736013Z triton_mm_1311 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 2025-09-07T10:41:10.6737219Z triton_mm_1305 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 2025-09-07T10:41:10.6738672Z triton_mm_1313 0.0143 ms 85.7% 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 2025-09-07T10:41:10.6739890Z triton_mm_1304 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:41:10.6741078Z triton_mm_1314 0.0154 ms 80.0% 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 2025-09-07T10:41:10.6742129Z SingleProcess AUTOTUNE benchmarking takes 0.2559 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:10.9372108Z Autotune Choices Stats: 2025-09-07T10:41:10.9373539Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1334", "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=2, num_warps=2", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:41:10.9396459Z AUTOTUNE addmm(8x1584, 8x132, 132x1584) 2025-09-07T10:41:10.9396807Z strides: [0, 1], [132, 1], [1, 132] 2025-09-07T10:41:10.9397169Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:10.9398243Z triton_mm_1334 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=2, num_warps=2 2025-09-07T10:41:10.9399468Z triton_mm_1335 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 2025-09-07T10:41:10.9400679Z triton_mm_1336 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 2025-09-07T10:41:10.9401902Z triton_mm_1337 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 2025-09-07T10:41:10.9403119Z triton_mm_1340 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 2025-09-07T10:41:10.9404323Z triton_mm_1347 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 2025-09-07T10:41:10.9405540Z triton_mm_1341 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:10.9406742Z triton_mm_1342 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 2025-09-07T10:41:10.9407933Z triton_mm_1343 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 2025-09-07T10:41:10.9409140Z triton_mm_1344 0.0092 ms 88.9% 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 2025-09-07T10:41:10.9410171Z SingleProcess AUTOTUNE benchmarking takes 0.2659 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:11.2045317Z Autotune Choices Stats: 2025-09-07T10:41:11.2046488Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1354", "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} 2025-09-07T10:41:11.2069365Z AUTOTUNE mm(392x792, 792x132) 2025-09-07T10:41:11.2069672Z strides: [792, 1], [1, 792] 2025-09-07T10:41:11.2069971Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:11.2070760Z triton_mm_1354 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 2025-09-07T10:41:11.2071995Z triton_mm_1352 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 2025-09-07T10:41:11.2073191Z triton_mm_1353 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 2025-09-07T10:41:11.2074380Z triton_mm_1351 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 2025-09-07T10:41:11.2075592Z triton_mm_1358 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 2025-09-07T10:41:11.2076959Z triton_mm_1357 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:41:11.2077710Z mm 0.0164 ms 75.0% 2025-09-07T10:41:11.2078409Z triton_mm_1361 0.0174 ms 70.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:41:11.2079612Z triton_mm_1360 0.0184 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:41:11.2080816Z triton_mm_1363 0.0195 ms 63.2% 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 2025-09-07T10:41:11.2081848Z SingleProcess AUTOTUNE benchmarking takes 0.2666 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:11.4644725Z Autotune Choices Stats: 2025-09-07T10:41:11.4645936Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1572", "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=4, num_warps=8", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:41:11.4669407Z AUTOTUNE mm(392x264, 264x1536) 2025-09-07T10:41:11.4669721Z strides: [264, 1], [1, 264] 2025-09-07T10:41:11.4670006Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:11.4670791Z triton_mm_1572 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 2025-09-07T10:41:11.4672032Z triton_mm_1573 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 2025-09-07T10:41:11.4673247Z triton_mm_1575 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 2025-09-07T10:41:11.4674010Z mm 0.0133 ms 92.3% 2025-09-07T10:41:11.4674711Z triton_mm_1571 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 2025-09-07T10:41:11.4675919Z triton_mm_1574 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 2025-09-07T10:41:11.4677104Z triton_mm_1569 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 2025-09-07T10:41:11.4678585Z triton_mm_1577 0.0143 ms 85.7% 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 2025-09-07T10:41:11.4679794Z triton_mm_1564 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 2025-09-07T10:41:11.4680989Z triton_mm_1568 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:41:11.4682027Z SingleProcess AUTOTUNE benchmarking takes 0.2527 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:11.7710533Z Autotune Choices Stats: 2025-09-07T10:41:11.7711747Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1584", "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} 2025-09-07T10:41:11.7742275Z AUTOTUNE addmm(8x1000, 8x1536, 1536x1000) 2025-09-07T10:41:11.7742642Z strides: [0, 1], [1536, 1], [1, 1536] 2025-09-07T10:41:11.7743361Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:41:11.7744218Z triton_mm_1584 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 2025-09-07T10:41:11.7745521Z triton_mm_1588 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 2025-09-07T10:41:11.7746733Z triton_mm_1592 0.0154 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:41:11.7747514Z bias_addmm 0.0164 ms 75.0% 2025-09-07T10:41:11.7748231Z triton_mm_1596 0.0164 ms 75.0% 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 2025-09-07T10:41:11.7749431Z triton_mm_1583 0.0174 ms 70.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:41:11.7751029Z triton_mm_1581 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 2025-09-07T10:41:11.7752262Z triton_mm_1582 0.0184 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:41:11.7753480Z triton_mm_1587 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 2025-09-07T10:41:11.7754700Z triton_mm_1591 0.0195 ms 63.2% 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 2025-09-07T10:41:11.7755758Z SingleProcess AUTOTUNE benchmarking takes 0.3065 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:41:49.6953031Z Autotune Choices Stats: 2025-09-07T10:41:49.6955167Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1620", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:41:49.6979837Z AUTOTUNE mm(1000x8, 8x1536) 2025-09-07T10:41:49.6980622Z strides: [1, 1000], [1536, 1] 2025-09-07T10:41:49.6980920Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:49.6981725Z triton_mm_1620 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 2025-09-07T10:41:49.6982963Z triton_mm_1621 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 2025-09-07T10:41:49.6984186Z triton_mm_1625 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=3, num_warps=4 2025-09-07T10:41:49.6985468Z triton_mm_1614 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 2025-09-07T10:41:49.6986671Z triton_mm_1615 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 2025-09-07T10:41:49.6987862Z triton_mm_1616 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 2025-09-07T10:41:49.6989280Z triton_mm_1617 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 2025-09-07T10:41:49.6990484Z triton_mm_1618 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 2025-09-07T10:41:49.6991682Z triton_mm_1619 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 2025-09-07T10:41:49.6992898Z triton_mm_1622 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 2025-09-07T10:41:49.6993952Z SingleProcess AUTOTUNE benchmarking takes 0.2168 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T10:41:50.4444125Z Autotune Choices Stats: 2025-09-07T10:41:50.4445392Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1605", "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} 2025-09-07T10:41:50.4469413Z AUTOTUNE mm(8x1000, 1000x1536) 2025-09-07T10:41:50.4469799Z strides: [1000, 1], [1536, 1] 2025-09-07T10:41:50.4470103Z dtypes: torch.float16, torch.float16 2025-09-07T10:41:50.4470902Z triton_mm_1605 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 2025-09-07T10:41:50.4472151Z triton_mm_1601 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 2025-09-07T10:41:50.4473363Z triton_mm_1609 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 2025-09-07T10:41:50.4474118Z mm 0.0133 ms 84.6% 2025-09-07T10:41:50.4474812Z triton_mm_1613 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 2025-09-07T10:41:50.4476008Z triton_mm_1599 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 2025-09-07T10:41:50.4477195Z triton_mm_1600 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 2025-09-07T10:41:50.4478700Z triton_mm_1604 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 2025-09-07T10:41:50.4479893Z triton_mm_1608 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 2025-09-07T10:41:50.4481104Z triton_mm_1598 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 2025-09-07T10:41:50.4482148Z SingleProcess AUTOTUNE benchmarking takes 0.2462 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:42:09.9679627Z pass 2025-09-07T10:42:17.5268987Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:42:17.5271648Z import pynvml # type: ignore[import] 2025-09-07T10:42:21.0686013Z 2025-09-07T10:42:22.2675784Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:42:22.2677045Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:42:22.2677635Z cuda train mnasnet_100 2025-09-07T10:42:51.3508986Z Autotune Choices Stats: 2025-09-07T10:42:51.3510213Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_9", "best_kernel_desc": "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", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:42:51.3534112Z AUTOTUNE mm(100352x32, 32x16) 2025-09-07T10:42:51.3534535Z strides: [32, 1], [1, 32] 2025-09-07T10:42:51.3534814Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:51.3535579Z 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 2025-09-07T10:42:51.3536775Z 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 2025-09-07T10:42:51.3537953Z 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 2025-09-07T10:42:51.3539139Z 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 2025-09-07T10:42:51.3540322Z triton_mm_16 0.0143 ms 100.0% 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 2025-09-07T10:42:51.3541514Z triton_mm_7 0.0154 ms 93.3% 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 2025-09-07T10:42:51.3542661Z triton_mm_8 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:42:51.3543825Z 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 2025-09-07T10:42:51.3545065Z 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 2025-09-07T10:42:51.3546246Z 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 2025-09-07T10:42:51.3547638Z SingleProcess AUTOTUNE benchmarking takes 0.1853 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:42:51.5785396Z Autotune Choices Stats: 2025-09-07T10:42:51.5786605Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_22", "best_kernel_desc": "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", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:42:51.5811650Z AUTOTUNE mm(100352x16, 16x48) 2025-09-07T10:42:51.5811973Z strides: [16, 1], [1, 16] 2025-09-07T10:42:51.5812259Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:51.5813140Z triton_mm_22 0.0143 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 2025-09-07T10:42:51.5814357Z triton_mm_23 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=2, num_warps=4 2025-09-07T10:42:51.5815547Z triton_mm_25 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=5, num_warps=4 2025-09-07T10:42:51.5817049Z triton_mm_26 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=3, num_warps=4 2025-09-07T10:42:51.5818239Z 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 2025-09-07T10:42:51.5819422Z triton_mm_29 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=3, num_warps=4 2025-09-07T10:42:51.5820607Z triton_mm_30 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=4, num_warps=8 2025-09-07T10:42:51.5821801Z 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 2025-09-07T10:42:51.5822995Z triton_mm_32 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=5, num_warps=8 2025-09-07T10:42:51.5824176Z 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 2025-09-07T10:42:51.5825286Z SingleProcess AUTOTUNE benchmarking takes 0.2271 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T10:42:51.8119549Z Autotune Choices Stats: 2025-09-07T10:42:51.8121019Z {"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"} 2025-09-07T10:42:51.8154175Z AUTOTUNE mm(25088x48, 48x24) 2025-09-07T10:42:51.8154492Z strides: [48, 1], [1, 48] 2025-09-07T10:42:51.8154778Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:51.8155086Z mm 0.0113 ms 100.0% 2025-09-07T10:42:51.8155777Z 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 2025-09-07T10:42:51.8156966Z 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 2025-09-07T10:42:51.8158439Z 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 2025-09-07T10:42:51.8159633Z 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 2025-09-07T10:42:51.8160816Z 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 2025-09-07T10:42:51.8162005Z 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 2025-09-07T10:42:51.8163195Z 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 2025-09-07T10:42:51.8164380Z 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 2025-09-07T10:42:51.8165749Z 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 2025-09-07T10:42:51.8166794Z SingleProcess AUTOTUNE benchmarking takes 0.2335 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:42:52.0469336Z Autotune Choices Stats: 2025-09-07T10:42:52.0470528Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_60", "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=4, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:42:52.0496855Z AUTOTUNE mm(25088x24, 24x72) 2025-09-07T10:42:52.0497167Z strides: [24, 1], [1, 24] 2025-09-07T10:42:52.0497453Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:52.0498231Z triton_mm_60 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 2025-09-07T10:42:52.0499449Z triton_mm_53 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 2025-09-07T10:42:52.0500625Z triton_mm_54 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=4 2025-09-07T10:42:52.0501809Z triton_mm_56 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=2, num_warps=4 2025-09-07T10:42:52.0502995Z triton_mm_58 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=5, num_warps=4 2025-09-07T10:42:52.0504182Z triton_mm_59 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 2025-09-07T10:42:52.0505467Z triton_mm_61 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=4 2025-09-07T10:42:52.0506671Z triton_mm_63 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 2025-09-07T10:42:52.0507873Z triton_mm_64 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 2025-09-07T10:42:52.0509426Z triton_mm_65 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=3, num_warps=4 2025-09-07T10:42:52.0510469Z SingleProcess AUTOTUNE benchmarking takes 0.2328 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:42:52.2870137Z Autotune Choices Stats: 2025-09-07T10:42:52.2871313Z {"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} 2025-09-07T10:42:52.2897925Z AUTOTUNE mm(25088x72, 72x24) 2025-09-07T10:42:52.2898218Z strides: [72, 1], [1, 72] 2025-09-07T10:42:52.2898508Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:52.2899286Z 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 2025-09-07T10:42:52.2900492Z 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 2025-09-07T10:42:52.2901926Z 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 2025-09-07T10:42:52.2903125Z 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 2025-09-07T10:42:52.2904311Z 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 2025-09-07T10:42:52.2905601Z 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 2025-09-07T10:42:52.2906795Z 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 2025-09-07T10:42:52.2907552Z mm 0.0143 ms 92.9% 2025-09-07T10:42:52.2908243Z triton_mm_68 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 2025-09-07T10:42:52.2909425Z triton_mm_70 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=5, num_warps=8 2025-09-07T10:42:52.2910445Z SingleProcess AUTOTUNE benchmarking takes 0.2395 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:42:52.5354520Z Autotune Choices Stats: 2025-09-07T10:42:52.5355678Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_136", "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} 2025-09-07T10:42:52.5383847Z AUTOTUNE mm(6272x72, 72x40) 2025-09-07T10:42:52.5384168Z strides: [72, 1], [1, 72] 2025-09-07T10:42:52.5384465Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:52.5385275Z triton_mm_136 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 2025-09-07T10:42:52.5386497Z triton_mm_138 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 2025-09-07T10:42:52.5387950Z triton_mm_139 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 2025-09-07T10:42:52.5389166Z triton_mm_147 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=4, num_warps=4 2025-09-07T10:42:52.5389926Z mm 0.0102 ms 90.0% 2025-09-07T10:42:52.5390630Z triton_mm_135 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 2025-09-07T10:42:52.5391806Z triton_mm_141 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 2025-09-07T10:42:52.5392999Z triton_mm_143 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 2025-09-07T10:42:52.5394203Z triton_mm_144 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=3, num_warps=4 2025-09-07T10:42:52.5395512Z triton_mm_145 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=4, num_warps=8 2025-09-07T10:42:52.5396548Z SingleProcess AUTOTUNE benchmarking takes 0.2454 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:52.7936866Z Autotune Choices Stats: 2025-09-07T10:42:52.7938044Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_153", "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} 2025-09-07T10:42:52.7965589Z AUTOTUNE mm(6272x40, 40x120) 2025-09-07T10:42:52.7965887Z strides: [40, 1], [1, 40] 2025-09-07T10:42:52.7966179Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:52.7966949Z triton_mm_153 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 2025-09-07T10:42:52.7968163Z 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 2025-09-07T10:42:52.7969353Z 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 2025-09-07T10:42:52.7970552Z 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 2025-09-07T10:42:52.7971748Z 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 2025-09-07T10:42:52.7973202Z 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 2025-09-07T10:42:52.7974422Z 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 2025-09-07T10:42:52.7975638Z triton_mm_167 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 2025-09-07T10:42:52.7976843Z triton_mm_154 0.0102 ms 90.0% 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 2025-09-07T10:42:52.7978275Z triton_mm_156 0.0102 ms 90.0% 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 2025-09-07T10:42:52.7979305Z SingleProcess AUTOTUNE benchmarking takes 0.2575 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:42:53.0424056Z Autotune Choices Stats: 2025-09-07T10:42:53.0425319Z {"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} 2025-09-07T10:42:53.0453123Z AUTOTUNE mm(6272x120, 120x40) 2025-09-07T10:42:53.0453428Z strides: [120, 1], [1, 120] 2025-09-07T10:42:53.0453725Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:53.0454484Z 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 2025-09-07T10:42:53.0455718Z 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 2025-09-07T10:42:53.0457172Z 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 2025-09-07T10:42:53.0458387Z triton_mm_188 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:53.0459149Z mm 0.0113 ms 90.9% 2025-09-07T10:42:53.0459845Z 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 2025-09-07T10:42:53.0461031Z 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 2025-09-07T10:42:53.0462198Z 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 2025-09-07T10:42:53.0463380Z triton_mm_183 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 2025-09-07T10:42:53.0464565Z triton_mm_184 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 2025-09-07T10:42:53.0465672Z SingleProcess AUTOTUNE benchmarking takes 0.2481 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:53.3034392Z Autotune Choices Stats: 2025-09-07T10:42:53.3035585Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_234", "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} 2025-09-07T10:42:53.3063230Z AUTOTUNE mm(6272x40, 40x240) 2025-09-07T10:42:53.3063548Z strides: [40, 1], [1, 40] 2025-09-07T10:42:53.3063835Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:53.3064649Z triton_mm_234 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 2025-09-07T10:42:53.3065873Z triton_mm_235 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 2025-09-07T10:42:53.3067078Z triton_mm_238 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 2025-09-07T10:42:53.3068523Z triton_mm_239 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 2025-09-07T10:42:53.3069725Z triton_mm_245 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 2025-09-07T10:42:53.3070933Z triton_mm_227 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 2025-09-07T10:42:53.3072122Z triton_mm_228 0.0113 ms 90.9% 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 2025-09-07T10:42:53.3073311Z triton_mm_231 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 2025-09-07T10:42:53.3074496Z triton_mm_240 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 2025-09-07T10:42:53.3075820Z triton_mm_241 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 2025-09-07T10:42:53.3076852Z SingleProcess AUTOTUNE benchmarking takes 0.2585 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:42:53.5534609Z Autotune Choices Stats: 2025-09-07T10:42:53.5535787Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_273", "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} 2025-09-07T10:42:53.5563766Z AUTOTUNE mm(1568x80, 80x480) 2025-09-07T10:42:53.5564069Z strides: [80, 1], [1, 80] 2025-09-07T10:42:53.5564375Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:53.5565155Z triton_mm_273 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 2025-09-07T10:42:53.5566364Z triton_mm_276 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 2025-09-07T10:42:53.5567565Z triton_mm_264 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 2025-09-07T10:42:53.5568752Z triton_mm_268 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 2025-09-07T10:42:53.5569950Z triton_mm_270 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 2025-09-07T10:42:53.5571145Z triton_mm_271 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 2025-09-07T10:42:53.5572335Z triton_mm_272 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 2025-09-07T10:42:53.5573762Z triton_mm_274 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 2025-09-07T10:42:53.5574942Z triton_mm_275 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 2025-09-07T10:42:53.5576436Z triton_mm_277 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 2025-09-07T10:42:53.5577509Z SingleProcess AUTOTUNE benchmarking takes 0.2485 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:53.8081836Z Autotune Choices Stats: 2025-09-07T10:42:53.8083022Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_285", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:42:53.8111916Z AUTOTUNE mm(1568x480, 480x80) 2025-09-07T10:42:53.8112222Z strides: [480, 1], [1, 480] 2025-09-07T10:42:53.8112544Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:53.8113324Z triton_mm_285 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 2025-09-07T10:42:53.8114529Z triton_mm_286 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 2025-09-07T10:42:53.8115523Z mm 0.0123 ms 91.7% 2025-09-07T10:42:53.8116226Z triton_mm_283 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 2025-09-07T10:42:53.8117404Z triton_mm_284 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:53.8118589Z triton_mm_289 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 2025-09-07T10:42:53.8119787Z triton_mm_290 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 2025-09-07T10:42:53.8120989Z triton_mm_292 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 2025-09-07T10:42:53.8122180Z triton_mm_293 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 2025-09-07T10:42:53.8123365Z triton_mm_295 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 2025-09-07T10:42:53.8124399Z SingleProcess AUTOTUNE benchmarking takes 0.2541 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:54.0652685Z Autotune Choices Stats: 2025-09-07T10:42:54.0654113Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_358", "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} 2025-09-07T10:42:54.0684035Z AUTOTUNE mm(1568x480, 480x96) 2025-09-07T10:42:54.0684346Z strides: [480, 1], [1, 480] 2025-09-07T10:42:54.0684643Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:54.0685423Z triton_mm_358 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 2025-09-07T10:42:54.0686620Z triton_mm_357 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 2025-09-07T10:42:54.0688063Z triton_mm_362 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 2025-09-07T10:42:54.0689266Z triton_mm_355 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 2025-09-07T10:42:54.0690448Z triton_mm_356 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 2025-09-07T10:42:54.0691625Z triton_mm_361 0.0123 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 2025-09-07T10:42:54.0692367Z mm 0.0133 ms 76.9% 2025-09-07T10:42:54.0693168Z triton_mm_364 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 2025-09-07T10:42:54.0694363Z triton_mm_365 0.0133 ms 76.9% 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 2025-09-07T10:42:54.0695695Z triton_mm_367 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 2025-09-07T10:42:54.0696723Z SingleProcess AUTOTUNE benchmarking takes 0.2537 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:54.3148788Z Autotune Choices Stats: 2025-09-07T10:42:54.3149960Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_378", "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} 2025-09-07T10:42:54.3180806Z AUTOTUNE mm(1568x96, 96x576) 2025-09-07T10:42:54.3181094Z strides: [96, 1], [1, 96] 2025-09-07T10:42:54.3181386Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:54.3182147Z triton_mm_378 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 2025-09-07T10:42:54.3183356Z triton_mm_381 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 2025-09-07T10:42:54.3184557Z triton_mm_384 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 2025-09-07T10:42:54.3185849Z triton_mm_387 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 2025-09-07T10:42:54.3187052Z triton_mm_376 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 2025-09-07T10:42:54.3188242Z triton_mm_377 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 2025-09-07T10:42:54.3189419Z triton_mm_379 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 2025-09-07T10:42:54.3190608Z triton_mm_380 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 2025-09-07T10:42:54.3191808Z triton_mm_382 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 2025-09-07T10:42:54.3193227Z triton_mm_383 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 2025-09-07T10:42:54.3194258Z SingleProcess AUTOTUNE benchmarking takes 0.2489 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:54.5741790Z Autotune Choices Stats: 2025-09-07T10:42:54.5743002Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_394", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:42:54.5774670Z AUTOTUNE mm(1568x576, 576x96) 2025-09-07T10:42:54.5775021Z strides: [576, 1], [1, 576] 2025-09-07T10:42:54.5775313Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:54.5776125Z triton_mm_394 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 2025-09-07T10:42:54.5777337Z triton_mm_393 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:54.5778885Z triton_mm_397 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 2025-09-07T10:42:54.5780092Z triton_mm_398 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 2025-09-07T10:42:54.5780840Z mm 0.0133 ms 84.6% 2025-09-07T10:42:54.5781543Z triton_mm_391 0.0133 ms 84.6% 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 2025-09-07T10:42:54.5782735Z triton_mm_392 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 2025-09-07T10:42:54.5783917Z triton_mm_401 0.0133 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 2025-09-07T10:42:54.5785182Z triton_mm_400 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:54.5786375Z triton_mm_403 0.0154 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:54.5787419Z SingleProcess AUTOTUNE benchmarking takes 0.2587 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:54.8358206Z Autotune Choices Stats: 2025-09-07T10:42:54.8359388Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_430", "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} 2025-09-07T10:42:54.8391944Z AUTOTUNE mm(392x576, 576x192) 2025-09-07T10:42:54.8392244Z strides: [576, 1], [1, 576] 2025-09-07T10:42:54.8392539Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:54.8393327Z triton_mm_430 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 2025-09-07T10:42:54.8394529Z triton_mm_428 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 2025-09-07T10:42:54.8395965Z triton_mm_429 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 2025-09-07T10:42:54.8397156Z triton_mm_434 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 2025-09-07T10:42:54.8397903Z mm 0.0123 ms 83.3% 2025-09-07T10:42:54.8398611Z triton_mm_427 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 2025-09-07T10:42:54.8399796Z triton_mm_433 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 2025-09-07T10:42:54.8408636Z triton_mm_436 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 2025-09-07T10:42:54.8409886Z triton_mm_437 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 2025-09-07T10:42:54.8411333Z triton_mm_439 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 2025-09-07T10:42:54.8412381Z SingleProcess AUTOTUNE benchmarking takes 0.2600 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:55.0890460Z Autotune Choices Stats: 2025-09-07T10:42:55.0891659Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_451", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:42:55.0924227Z AUTOTUNE mm(392x192, 192x1152) 2025-09-07T10:42:55.0924563Z strides: [192, 1], [1, 192] 2025-09-07T10:42:55.0924851Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:55.0925634Z triton_mm_451 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:55.0926856Z triton_mm_453 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 2025-09-07T10:42:55.0928052Z triton_mm_454 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 2025-09-07T10:42:55.0929247Z triton_mm_455 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 2025-09-07T10:42:55.0930439Z triton_mm_456 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 2025-09-07T10:42:55.0931635Z triton_mm_457 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 2025-09-07T10:42:55.0932972Z triton_mm_460 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 2025-09-07T10:42:55.0934187Z triton_mm_445 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 2025-09-07T10:42:55.0935377Z triton_mm_446 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 2025-09-07T10:42:55.0936930Z triton_mm_450 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 2025-09-07T10:42:55.0937956Z SingleProcess AUTOTUNE benchmarking takes 0.2525 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:55.4321457Z Autotune Choices Stats: 2025-09-07T10:42:55.4323778Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.015359999611973763, "best_triton_kernel": "triton_mm_464", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:42:55.4383266Z AUTOTUNE mm(392x1152, 1152x192) 2025-09-07T10:42:55.4383698Z strides: [1152, 1], [1, 1152] 2025-09-07T10:42:55.4384149Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:55.4384692Z mm 0.0133 ms 100.0% 2025-09-07T10:42:55.4385771Z triton_mm_464 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:55.4387912Z triton_mm_465 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:55.4389704Z triton_mm_463 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:55.4391277Z triton_mm_469 0.0215 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:55.4393222Z triton_mm_472 0.0215 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:55.4395075Z triton_mm_473 0.0215 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:55.4396918Z triton_mm_470 0.0225 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:55.4398745Z triton_mm_466 0.0236 ms 56.5% 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 2025-09-07T10:42:55.4400577Z triton_mm_475 0.0236 ms 56.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:55.4402146Z SingleProcess AUTOTUNE benchmarking takes 0.3451 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:55.7992590Z Autotune Choices Stats: 2025-09-07T10:42:55.7993804Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_574", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:42:55.8026237Z AUTOTUNE mm(392x1152, 1152x320) 2025-09-07T10:42:55.8026550Z strides: [1152, 1], [1, 1152] 2025-09-07T10:42:55.8026830Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:55.8027595Z triton_mm_574 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:55.8028794Z triton_mm_572 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:55.8030269Z triton_mm_573 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:55.8031440Z triton_mm_577 0.0184 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:42:55.8032624Z triton_mm_581 0.0195 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:55.8033807Z triton_mm_580 0.0215 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:55.8034980Z triton_mm_583 0.0215 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:42:55.8036170Z triton_mm_571 0.0225 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:42:55.8037353Z triton_mm_578 0.0225 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:42:55.8038731Z triton_mm_579 0.0266 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:42:55.8039759Z SingleProcess AUTOTUNE benchmarking takes 0.3495 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:56.0523418Z Autotune Choices Stats: 2025-09-07T10:42:56.0524583Z {"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=4, num_warps=8", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:42:56.0557505Z AUTOTUNE mm(392x320, 320x1280) 2025-09-07T10:42:56.0557798Z strides: [320, 1], [1, 320] 2025-09-07T10:42:56.0558094Z dtypes: torch.float16, torch.float16 2025-09-07T10:42:56.0558872Z triton_mm_598 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 2025-09-07T10:42:56.0560078Z triton_mm_599 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 2025-09-07T10:42:56.0561273Z triton_mm_601 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 2025-09-07T10:42:56.0562026Z mm 0.0123 ms 91.7% 2025-09-07T10:42:56.0562708Z triton_mm_595 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 2025-09-07T10:42:56.0563889Z triton_mm_597 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 2025-09-07T10:42:56.0565061Z triton_mm_600 0.0123 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 2025-09-07T10:42:56.0566258Z triton_mm_604 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 2025-09-07T10:42:56.0567455Z triton_mm_589 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 2025-09-07T10:42:56.0568873Z triton_mm_590 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:42:56.0569894Z SingleProcess AUTOTUNE benchmarking takes 0.2524 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:42:56.3451164Z Autotune Choices Stats: 2025-09-07T10:42:56.3452390Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_610", "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} 2025-09-07T10:42:56.3487169Z AUTOTUNE addmm(8x1000, 8x1280, 1280x1000) 2025-09-07T10:42:56.3487822Z strides: [0, 1], [1280, 1], [1, 1280] 2025-09-07T10:42:56.3488470Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:42:56.3489981Z triton_mm_610 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 2025-09-07T10:42:56.3492195Z triton_mm_614 0.0113 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 2025-09-07T10:42:56.3494607Z triton_mm_618 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 2025-09-07T10:42:56.3495910Z bias_addmm 0.0154 ms 73.3% 2025-09-07T10:42:56.3497095Z triton_mm_609 0.0154 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:42:56.3499050Z triton_mm_622 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 2025-09-07T10:42:56.3501026Z triton_mm_608 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 2025-09-07T10:42:56.3502973Z triton_mm_613 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 2025-09-07T10:42:56.3504713Z triton_mm_607 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 2025-09-07T10:42:56.3506553Z triton_mm_617 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 2025-09-07T10:42:56.3508259Z SingleProcess AUTOTUNE benchmarking takes 0.2922 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:43:11.9915199Z Autotune Choices Stats: 2025-09-07T10:43:11.9917462Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_645", "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} 2025-09-07T10:43:11.9949456Z AUTOTUNE mm(1000x8, 8x1280) 2025-09-07T10:43:11.9950026Z strides: [1, 1000], [1280, 1] 2025-09-07T10:43:11.9950538Z dtypes: torch.float16, torch.float16 2025-09-07T10:43:11.9951985Z triton_mm_645 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 2025-09-07T10:43:11.9954276Z triton_mm_648 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 2025-09-07T10:43:11.9957050Z triton_mm_651 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=3, num_warps=4 2025-09-07T10:43:11.9959104Z triton_mm_652 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 2025-09-07T10:43:11.9961257Z triton_mm_640 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 2025-09-07T10:43:11.9963491Z triton_mm_641 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 2025-09-07T10:43:11.9965723Z triton_mm_642 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 2025-09-07T10:43:11.9967991Z triton_mm_643 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 2025-09-07T10:43:11.9970190Z triton_mm_644 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 2025-09-07T10:43:11.9972581Z triton_mm_646 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 2025-09-07T10:43:11.9974849Z SingleProcess AUTOTUNE benchmarking takes 0.2129 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T10:43:12.8120898Z Autotune Choices Stats: 2025-09-07T10:43:12.8122141Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_627", "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} 2025-09-07T10:43:12.8155454Z AUTOTUNE mm(8x1000, 1000x1280) 2025-09-07T10:43:12.8155810Z strides: [1000, 1], [1280, 1] 2025-09-07T10:43:12.8156100Z dtypes: torch.float16, torch.float16 2025-09-07T10:43:12.8156915Z triton_mm_627 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 2025-09-07T10:43:12.8158148Z triton_mm_631 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 2025-09-07T10:43:12.8159362Z triton_mm_635 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 2025-09-07T10:43:12.8160129Z mm 0.0133 ms 84.6% 2025-09-07T10:43:12.8160824Z triton_mm_639 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 2025-09-07T10:43:12.8162005Z triton_mm_625 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 2025-09-07T10:43:12.8163187Z triton_mm_626 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 2025-09-07T10:43:12.8164370Z triton_mm_630 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 2025-09-07T10:43:12.8165558Z triton_mm_634 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 2025-09-07T10:43:12.8167116Z triton_mm_624 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 2025-09-07T10:43:12.8168166Z SingleProcess AUTOTUNE benchmarking takes 0.2422 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:43:20.5430446Z W0907 10:43:20.542000 55496 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T10:43:48.8754088Z pass 2025-09-07T10:43:54.6345081Z /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. 2025-09-07T10:43:54.6346570Z import pynvml # type: ignore[import] 2025-09-07T10:43:58.2145851Z 2025-09-07T10:43:59.3515326Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:43:59.3515723Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:43:59.3516054Z cuda train mobilenetv2_100 2025-09-07T10:44:31.8300034Z Autotune Choices Stats: 2025-09-07T10:44:31.8301770Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_46", "best_kernel_desc": "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", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:44:31.8336088Z AUTOTUNE mm(25088x96, 96x24) 2025-09-07T10:44:31.8336399Z strides: [96, 1], [1, 96] 2025-09-07T10:44:31.8336687Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:31.8337456Z triton_mm_46 0.0133 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 2025-09-07T10:44:31.8338651Z triton_mm_42 0.0143 ms 92.9% 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=3, num_warps=4 2025-09-07T10:44:31.8339828Z triton_mm_50 0.0143 ms 92.9% 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 2025-09-07T10:44:31.8341026Z triton_mm_38 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 2025-09-07T10:44:31.8342202Z triton_mm_39 0.0174 ms 76.5% 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 2025-09-07T10:44:31.8343368Z triton_mm_40 0.0174 ms 76.5% 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=2, num_warps=4 2025-09-07T10:44:31.8344538Z triton_mm_44 0.0174 ms 76.5% 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 2025-09-07T10:44:31.8345795Z triton_mm_47 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:31.8346976Z triton_mm_48 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:44:31.8348148Z triton_mm_49 0.0174 ms 76.5% 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 2025-09-07T10:44:31.8349187Z SingleProcess AUTOTUNE benchmarking takes 0.2605 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:44:32.0725119Z Autotune Choices Stats: 2025-09-07T10:44:32.0726282Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_55", "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=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:44:32.0761280Z AUTOTUNE mm(25088x24, 24x144) 2025-09-07T10:44:32.0761595Z strides: [24, 1], [1, 24] 2025-09-07T10:44:32.0761894Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:32.0762652Z triton_mm_55 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=4 2025-09-07T10:44:32.0763848Z triton_mm_57 0.0133 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 2025-09-07T10:44:32.0765030Z triton_mm_58 0.0133 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 2025-09-07T10:44:32.0766229Z triton_mm_59 0.0133 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 2025-09-07T10:44:32.0767639Z triton_mm_60 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 2025-09-07T10:44:32.0768826Z triton_mm_62 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=4 2025-09-07T10:44:32.0770025Z triton_mm_63 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 2025-09-07T10:44:32.0771227Z triton_mm_64 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 2025-09-07T10:44:32.0772414Z triton_mm_54 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=5, num_warps=8 2025-09-07T10:44:32.0773846Z triton_mm_61 0.0143 ms 92.9% 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 2025-09-07T10:44:32.0774867Z SingleProcess AUTOTUNE benchmarking takes 0.2419 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:44:32.3205891Z Autotune Choices Stats: 2025-09-07T10:44:32.3207102Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_80", "best_kernel_desc": "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", "best_time": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:44:32.3241919Z AUTOTUNE mm(25088x144, 144x24) 2025-09-07T10:44:32.3242235Z strides: [144, 1], [1, 144] 2025-09-07T10:44:32.3242542Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:32.3243309Z triton_mm_80 0.0164 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 2025-09-07T10:44:32.3244507Z triton_mm_74 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:44:32.3245685Z triton_mm_76 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:32.3246859Z triton_mm_78 0.0174 ms 94.1% 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 2025-09-07T10:44:32.3248295Z triton_mm_81 0.0174 ms 94.1% 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 2025-09-07T10:44:32.3249490Z triton_mm_82 0.0174 ms 94.1% 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 2025-09-07T10:44:32.3250666Z triton_mm_83 0.0174 ms 94.1% 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 2025-09-07T10:44:32.3251862Z triton_mm_84 0.0174 ms 94.1% 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 2025-09-07T10:44:32.3252606Z mm 0.0184 ms 88.9% 2025-09-07T10:44:32.3253548Z triton_mm_68 0.0184 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 2025-09-07T10:44:32.3254572Z SingleProcess AUTOTUNE benchmarking takes 0.2474 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:44:32.5610783Z Autotune Choices Stats: 2025-09-07T10:44:32.5647882Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_104", "best_kernel_desc": "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=5, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:44:32.5649089Z AUTOTUNE mm(6272x144, 144x32) 2025-09-07T10:44:32.5649380Z strides: [144, 1], [1, 144] 2025-09-07T10:44:32.5649672Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:32.5650458Z triton_mm_104 0.0102 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=5, num_warps=4 2025-09-07T10:44:32.5651679Z triton_mm_105 0.0102 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 2025-09-07T10:44:32.5653091Z triton_mm_106 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 2025-09-07T10:44:32.5654300Z triton_mm_109 0.0102 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 2025-09-07T10:44:32.5655499Z triton_mm_110 0.0102 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=3, num_warps=4 2025-09-07T10:44:32.5656697Z triton_mm_111 0.0102 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 2025-09-07T10:44:32.5657896Z triton_mm_112 0.0102 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 2025-09-07T10:44:32.5659099Z triton_mm_114 0.0102 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 2025-09-07T10:44:32.5660310Z triton_mm_115 0.0102 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 2025-09-07T10:44:32.5661508Z triton_mm_117 0.0102 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 2025-09-07T10:44:32.5662540Z SingleProcess AUTOTUNE benchmarking takes 0.2387 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:44:32.8008884Z Autotune Choices Stats: 2025-09-07T10:44:32.8010060Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_121", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:44:32.8048558Z AUTOTUNE mm(6272x32, 32x192) 2025-09-07T10:44:32.8049134Z strides: [32, 1], [1, 32] 2025-09-07T10:44:32.8049632Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:32.8051102Z triton_mm_121 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 2025-09-07T10:44:32.8053825Z triton_mm_122 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 2025-09-07T10:44:32.8056199Z triton_mm_123 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=4 2025-09-07T10:44:32.8058541Z triton_mm_125 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=2, num_warps=4 2025-09-07T10:44:32.8061047Z triton_mm_126 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=8 2025-09-07T10:44:32.8063116Z triton_mm_127 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=5, num_warps=4 2025-09-07T10:44:32.8065572Z triton_mm_128 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 2025-09-07T10:44:32.8067950Z triton_mm_129 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 2025-09-07T10:44:32.8070310Z triton_mm_130 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=4 2025-09-07T10:44:32.8072647Z triton_mm_131 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 2025-09-07T10:44:32.8074669Z SingleProcess AUTOTUNE benchmarking takes 0.2394 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:44:33.0423340Z Autotune Choices Stats: 2025-09-07T10:44:33.0425670Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_138", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:44:33.0464133Z AUTOTUNE mm(6272x192, 192x32) 2025-09-07T10:44:33.0464805Z strides: [192, 1], [1, 192] 2025-09-07T10:44:33.0465343Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:33.0466854Z triton_mm_138 0.0102 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 2025-09-07T10:44:33.0469203Z triton_mm_143 0.0102 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 2025-09-07T10:44:33.0471521Z triton_mm_146 0.0102 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 2025-09-07T10:44:33.0473259Z mm 0.0113 ms 90.9% 2025-09-07T10:44:33.0474378Z triton_mm_137 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 2025-09-07T10:44:33.0476246Z triton_mm_139 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 2025-09-07T10:44:33.0478308Z triton_mm_140 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 2025-09-07T10:44:33.0480694Z triton_mm_144 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=3, num_warps=4 2025-09-07T10:44:33.0482989Z triton_mm_145 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=4, num_warps=8 2025-09-07T10:44:33.0485330Z triton_mm_147 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=4, num_warps=4 2025-09-07T10:44:33.0487337Z SingleProcess AUTOTUNE benchmarking takes 0.2409 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:44:33.2992470Z Autotune Choices Stats: 2025-09-07T10:44:33.2994963Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_205", "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} 2025-09-07T10:44:33.3032993Z AUTOTUNE mm(1568x192, 192x64) 2025-09-07T10:44:33.3033541Z strides: [192, 1], [1, 192] 2025-09-07T10:44:33.3034043Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:33.3035533Z triton_mm_205 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 2025-09-07T10:44:33.3037775Z triton_mm_206 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 2025-09-07T10:44:33.3040034Z triton_mm_207 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 2025-09-07T10:44:33.3042345Z triton_mm_208 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 2025-09-07T10:44:33.3044640Z triton_mm_211 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 2025-09-07T10:44:33.3046968Z triton_mm_212 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 2025-09-07T10:44:33.3049314Z triton_mm_214 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 2025-09-07T10:44:33.3051621Z triton_mm_215 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 2025-09-07T10:44:33.3054304Z triton_mm_216 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=4, num_warps=4 2025-09-07T10:44:33.3055759Z mm 0.0102 ms 90.0% 2025-09-07T10:44:33.3056673Z SingleProcess AUTOTUNE benchmarking takes 0.2528 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:44:33.5753318Z Autotune Choices Stats: 2025-09-07T10:44:33.5755464Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_229", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:44:33.5794099Z AUTOTUNE mm(1568x64, 64x384) 2025-09-07T10:44:33.5794714Z strides: [64, 1], [1, 64] 2025-09-07T10:44:33.5795196Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:33.5796571Z triton_mm_229 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 2025-09-07T10:44:33.5798780Z triton_mm_230 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 2025-09-07T10:44:33.5801061Z triton_mm_236 0.0082 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 2025-09-07T10:44:33.5803248Z triton_mm_223 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 2025-09-07T10:44:33.5805868Z triton_mm_224 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 2025-09-07T10:44:33.5808098Z triton_mm_225 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 2025-09-07T10:44:33.5810244Z triton_mm_226 0.0092 ms 88.9% 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 2025-09-07T10:44:33.5812420Z triton_mm_227 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 2025-09-07T10:44:33.5814993Z triton_mm_228 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 2025-09-07T10:44:33.5817223Z triton_mm_231 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:33.5819117Z SingleProcess AUTOTUNE benchmarking takes 0.2754 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:44:33.8365143Z Autotune Choices Stats: 2025-09-07T10:44:33.8367353Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_244", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:44:33.8406539Z AUTOTUNE mm(1568x384, 384x64) 2025-09-07T10:44:33.8407100Z strides: [384, 1], [1, 384] 2025-09-07T10:44:33.8407600Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:33.8409035Z triton_mm_244 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 2025-09-07T10:44:33.8411305Z triton_mm_245 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:33.8413938Z triton_mm_249 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:33.8416235Z triton_mm_253 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:44:33.8417992Z mm 0.0113 ms 90.9% 2025-09-07T10:44:33.8419262Z triton_mm_243 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 2025-09-07T10:44:33.8422220Z triton_mm_248 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 2025-09-07T10:44:33.8424327Z triton_mm_251 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:33.8426347Z triton_mm_252 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=4 2025-09-07T10:44:33.8428508Z triton_mm_257 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:33.8430412Z SingleProcess AUTOTUNE benchmarking takes 0.2605 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:44:34.1727666Z Autotune Choices Stats: 2025-09-07T10:44:34.1730199Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_355", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:44:34.1804572Z AUTOTUNE mm(1568x384, 384x96) 2025-09-07T10:44:34.1805100Z strides: [384, 1], [1, 384] 2025-09-07T10:44:34.1805528Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:34.1806640Z triton_mm_355 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 2025-09-07T10:44:34.1808536Z triton_mm_356 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:34.1810474Z triton_mm_353 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:44:34.1812481Z triton_mm_354 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 2025-09-07T10:44:34.1814923Z triton_mm_359 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 2025-09-07T10:44:34.1817162Z triton_mm_360 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:34.1818576Z mm 0.0123 ms 83.3% 2025-09-07T10:44:34.1819899Z triton_mm_362 0.0123 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 2025-09-07T10:44:34.1822162Z triton_mm_361 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=3, num_warps=4 2025-09-07T10:44:34.1824454Z triton_mm_367 0.0164 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:34.1826497Z SingleProcess AUTOTUNE benchmarking takes 0.3329 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:44:34.5352766Z Autotune Choices Stats: 2025-09-07T10:44:34.5355647Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_464", "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} 2025-09-07T10:44:34.5402149Z AUTOTUNE mm(392x576, 576x160) 2025-09-07T10:44:34.5402734Z strides: [576, 1], [1, 576] 2025-09-07T10:44:34.5403290Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:34.5404769Z triton_mm_464 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 2025-09-07T10:44:34.5407148Z triton_mm_468 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 2025-09-07T10:44:34.5409493Z triton_mm_467 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 2025-09-07T10:44:34.5411843Z triton_mm_471 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 2025-09-07T10:44:34.5414898Z triton_mm_470 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:34.5417264Z triton_mm_473 0.0154 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:34.5419609Z triton_mm_469 0.0164 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=3, num_warps=4 2025-09-07T10:44:34.5421944Z triton_mm_472 0.0164 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 2025-09-07T10:44:34.5424279Z triton_mm_476 0.0174 ms 58.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:34.5426663Z triton_mm_477 0.0174 ms 58.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:44:34.5428569Z SingleProcess AUTOTUNE benchmarking takes 0.3481 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:44:34.8573527Z Autotune Choices Stats: 2025-09-07T10:44:34.8575811Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_485", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:44:34.8623126Z AUTOTUNE mm(392x160, 160x960) 2025-09-07T10:44:34.8623722Z strides: [160, 1], [1, 160] 2025-09-07T10:44:34.8624254Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:34.8625799Z triton_mm_485 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 2025-09-07T10:44:34.8628114Z triton_mm_480 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 2025-09-07T10:44:34.8630361Z triton_mm_481 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 2025-09-07T10:44:34.8632622Z triton_mm_489 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 2025-09-07T10:44:34.8635371Z triton_mm_490 0.0102 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 2025-09-07T10:44:34.8637652Z triton_mm_491 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:34.8639096Z mm 0.0113 ms 81.8% 2025-09-07T10:44:34.8640427Z triton_mm_479 0.0113 ms 81.8% 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 2025-09-07T10:44:34.8642650Z triton_mm_484 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:44:34.8644917Z triton_mm_493 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:34.8646828Z SingleProcess AUTOTUNE benchmarking takes 0.3210 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:44:35.2866337Z Autotune Choices Stats: 2025-09-07T10:44:35.2869395Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_mm_497", "best_triton_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"} 2025-09-07T10:44:35.2944476Z AUTOTUNE mm(392x960, 960x160) 2025-09-07T10:44:35.2944914Z strides: [960, 1], [1, 960] 2025-09-07T10:44:35.2945222Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:35.2945536Z mm 0.0133 ms 100.0% 2025-09-07T10:44:35.2946279Z triton_mm_497 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 2025-09-07T10:44:35.2947478Z triton_mm_498 0.0143 ms 92.9% 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 2025-09-07T10:44:35.2948663Z triton_mm_499 0.0143 ms 92.9% 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 2025-09-07T10:44:35.2949841Z triton_mm_504 0.0246 ms 54.2% 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 2025-09-07T10:44:35.2951028Z triton_mm_509 0.0246 ms 54.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:35.2952209Z triton_mm_506 0.0266 ms 50.0% 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 2025-09-07T10:44:35.2953373Z triton_mm_507 0.0266 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:35.2954558Z triton_mm_508 0.0266 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:35.2955736Z triton_mm_500 0.0276 ms 48.1% 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 2025-09-07T10:44:35.2956767Z SingleProcess AUTOTUNE benchmarking takes 0.4313 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:44:35.6820141Z Autotune Choices Stats: 2025-09-07T10:44:35.6821808Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_572", "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} 2025-09-07T10:44:35.6898702Z AUTOTUNE mm(392x960, 960x320) 2025-09-07T10:44:35.6899063Z strides: [960, 1], [1, 960] 2025-09-07T10:44:35.6899392Z dtypes: torch.float16, torch.float16 2025-09-07T10:44:35.6900184Z triton_mm_572 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 2025-09-07T10:44:35.6901403Z triton_mm_579 0.0184 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:35.6902587Z triton_mm_571 0.0195 ms 63.2% 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 2025-09-07T10:44:35.6903778Z triton_mm_578 0.0195 ms 63.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:44:35.6905362Z triton_mm_581 0.0195 ms 63.2% 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 2025-09-07T10:44:35.6906563Z triton_mm_577 0.0225 ms 54.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:35.6907753Z triton_mm_580 0.0236 ms 52.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:35.6908946Z triton_mm_584 0.0246 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:44:35.6910148Z triton_mm_576 0.0266 ms 46.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:44:35.6911352Z triton_mm_583 0.0266 ms 46.2% 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 2025-09-07T10:44:35.6912392Z SingleProcess AUTOTUNE benchmarking takes 0.3836 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:45:04.6374872Z W0907 10:45:04.636000 63282 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:45:34.8975070Z pass 2025-09-07T10:45:41.4328371Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:45:41.4329906Z import pynvml # type: ignore[import] 2025-09-07T10:45:45.4239855Z 2025-09-07T10:45:46.7910130Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:45:46.7910506Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:45:46.7910869Z cuda train mobilenetv3_large_100 2025-09-07T10:46:20.3996773Z Autotune Choices Stats: 2025-09-07T10:46:20.3998014Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_780", "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} 2025-09-07T10:46:20.4046750Z AUTOTUNE addmm(8x1280, 8x960, 960x1280) 2025-09-07T10:46:20.4047536Z strides: [0, 1], [960, 1], [1, 960] 2025-09-07T10:46:20.4047892Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:20.4048722Z triton_mm_780 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 2025-09-07T10:46:20.4049966Z triton_mm_784 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 2025-09-07T10:46:20.4050721Z bias_addmm 0.0123 ms 91.7% 2025-09-07T10:46:20.4051455Z triton_mm_788 0.0133 ms 84.6% 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 2025-09-07T10:46:20.4052653Z triton_mm_792 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:20.4054133Z triton_mm_778 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:20.4055319Z triton_mm_779 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:46:20.4056709Z triton_mm_783 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:20.4057906Z triton_mm_777 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 2025-09-07T10:46:20.4059083Z triton_mm_787 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=3, num_warps=4 2025-09-07T10:46:20.4060122Z SingleProcess AUTOTUNE benchmarking takes 0.2969 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:46:21.0092061Z Autotune Choices Stats: 2025-09-07T10:46:21.0093590Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_640", "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} 2025-09-07T10:46:21.0138662Z AUTOTUNE addmm(8x240, 8x960, 960x240) 2025-09-07T10:46:21.0139029Z strides: [0, 1], [960, 1], [1, 960] 2025-09-07T10:46:21.0139392Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:21.0140249Z triton_mm_640 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 2025-09-07T10:46:21.0141494Z triton_mm_644 0.0102 ms 90.0% 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 2025-09-07T10:46:21.0142692Z triton_mm_639 0.0123 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 2025-09-07T10:46:21.0143899Z triton_mm_648 0.0123 ms 75.0% 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 2025-09-07T10:46:21.0145177Z triton_mm_652 0.0123 ms 75.0% 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 2025-09-07T10:46:21.0145943Z bias_addmm 0.0133 ms 69.2% 2025-09-07T10:46:21.0146665Z triton_mm_638 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=5, num_warps=4 2025-09-07T10:46:21.0148189Z triton_mm_643 0.0133 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.0149395Z triton_mm_647 0.0133 ms 69.2% 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 2025-09-07T10:46:21.0150604Z triton_mm_637 0.0143 ms 64.3% 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 2025-09-07T10:46:21.0151651Z SingleProcess AUTOTUNE benchmarking takes 0.3056 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:46:21.6254061Z Autotune Choices Stats: 2025-09-07T10:46:21.6255302Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_500", "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} 2025-09-07T10:46:21.6299243Z AUTOTUNE addmm(8x168, 8x672, 672x168) 2025-09-07T10:46:21.6299611Z strides: [0, 1], [672, 1], [1, 672] 2025-09-07T10:46:21.6299974Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:21.6301127Z triton_mm_500 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 2025-09-07T10:46:21.6302359Z triton_mm_504 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 2025-09-07T10:46:21.6303563Z triton_mm_499 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 2025-09-07T10:46:21.6304835Z triton_mm_498 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 2025-09-07T10:46:21.6306015Z triton_mm_503 0.0113 ms 81.8% 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 2025-09-07T10:46:21.6307213Z triton_mm_508 0.0113 ms 81.8% 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 2025-09-07T10:46:21.6308413Z triton_mm_512 0.0113 ms 81.8% 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 2025-09-07T10:46:21.6309155Z bias_addmm 0.0123 ms 75.0% 2025-09-07T10:46:21.6309882Z triton_mm_497 0.0123 ms 75.0% 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 2025-09-07T10:46:21.6311079Z triton_mm_507 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:21.6312112Z SingleProcess AUTOTUNE benchmarking takes 0.2975 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:22.2433666Z Autotune Choices Stats: 2025-09-07T10:46:22.2434911Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_430", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:46:22.2481140Z AUTOTUNE addmm(8x120, 8x480, 480x120) 2025-09-07T10:46:22.2481513Z strides: [0, 1], [480, 1], [1, 480] 2025-09-07T10:46:22.2481866Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:22.2483097Z triton_mm_430 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 2025-09-07T10:46:22.2484331Z triton_mm_434 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 2025-09-07T10:46:22.2485560Z triton_mm_428 0.0092 ms 88.9% 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 2025-09-07T10:46:22.2486756Z triton_mm_429 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:46:22.2487961Z triton_mm_427 0.0102 ms 80.0% 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 2025-09-07T10:46:22.2489167Z triton_mm_433 0.0102 ms 80.0% 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 2025-09-07T10:46:22.2490554Z triton_mm_437 0.0102 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:22.2491769Z triton_mm_438 0.0102 ms 80.0% 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 2025-09-07T10:46:22.2493262Z triton_mm_440 0.0102 ms 80.0% 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 2025-09-07T10:46:22.2494491Z triton_mm_442 0.0102 ms 80.0% 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 2025-09-07T10:46:22.2495554Z SingleProcess AUTOTUNE benchmarking takes 0.2986 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:22.7547479Z Autotune Choices Stats: 2025-09-07T10:46:22.7548704Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_162", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:46:22.7595787Z AUTOTUNE addmm(8x32, 8x120, 120x32) 2025-09-07T10:46:22.7596140Z strides: [0, 1], [120, 1], [1, 120] 2025-09-07T10:46:22.7596501Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:22.7597340Z triton_mm_162 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 2025-09-07T10:46:22.7598576Z triton_mm_166 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=3, num_warps=2 2025-09-07T10:46:22.7599783Z triton_mm_167 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=3, num_warps=2 2025-09-07T10:46:22.7600994Z triton_mm_168 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=4, num_warps=2 2025-09-07T10:46:22.7602184Z triton_mm_170 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=5, num_warps=2 2025-09-07T10:46:22.7602955Z bias_addmm 0.0082 ms 87.5% 2025-09-07T10:46:22.7603682Z triton_mm_165 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 2025-09-07T10:46:22.7605254Z triton_mm_161 0.0092 ms 77.8% 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 2025-09-07T10:46:22.7606478Z triton_mm_163 0.0092 ms 77.8% 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=5, num_warps=2 2025-09-07T10:46:22.7607697Z triton_mm_169 0.0092 ms 77.8% 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=4, num_warps=2 2025-09-07T10:46:22.7608742Z SingleProcess AUTOTUNE benchmarking takes 0.2120 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:46:23.2842784Z Autotune Choices Stats: 2025-09-07T10:46:23.2844036Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_101", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:46:23.2890616Z AUTOTUNE addmm(8x24, 8x72, 72x24) 2025-09-07T10:46:23.2891016Z strides: [0, 1], [72, 1], [1, 72] 2025-09-07T10:46:23.2891369Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:23.2892532Z triton_mm_101 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 2025-09-07T10:46:23.2893874Z triton_mm_104 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 2025-09-07T10:46:23.2895078Z triton_mm_105 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=3, num_warps=2 2025-09-07T10:46:23.2896288Z triton_mm_106 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=3, num_warps=2 2025-09-07T10:46:23.2897487Z triton_mm_107 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=4, num_warps=2 2025-09-07T10:46:23.2898675Z triton_mm_109 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=5, num_warps=2 2025-09-07T10:46:23.2899864Z triton_mm_99 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 2025-09-07T10:46:23.2901038Z triton_mm_100 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:46:23.2902243Z triton_mm_102 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:46:23.2903444Z triton_mm_103 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=2, num_warps=2 2025-09-07T10:46:23.2904467Z SingleProcess AUTOTUNE benchmarking takes 0.2142 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:46:24.0505353Z Autotune Choices Stats: 2025-09-07T10:46:24.0507038Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "convolution", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_convolution2d_0", "best_triton_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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:46:24.0554171Z AUTOTUNE convolution(8x3x224x224, 16x3x3x3) 2025-09-07T10:46:24.0554570Z strides: [150528, 1, 672, 3], [27, 1, 9, 3] 2025-09-07T10:46:24.0554917Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:24.0555238Z convolution 0.0174 ms 100.0% 2025-09-07T10:46:24.0556147Z triton_convolution2d_0 0.0174 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:24.0557662Z triton_convolution2d_1 0.0174 ms 100.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:46:24.0559161Z triton_convolution2d_3 0.0174 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:24.0560660Z triton_convolution2d_4 0.0184 ms 94.4% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:46:24.0562506Z triton_convolution2d_2 0.0215 ms 81.0% 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 2025-09-07T10:46:24.0563688Z SingleProcess AUTOTUNE benchmarking takes 0.0980 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:46:24.2446843Z Autotune Choices Stats: 2025-09-07T10:46:24.2448001Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_5", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:46:24.2492493Z AUTOTUNE mm(100352x16, 16x16) 2025-09-07T10:46:24.2492958Z strides: [16, 1], [1, 16] 2025-09-07T10:46:24.2493266Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:24.2494042Z triton_mm_5 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:46:24.2495226Z triton_mm_6 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:46:24.2496408Z triton_mm_7 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:46:24.2497579Z triton_mm_8 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:24.2498766Z triton_mm_9 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:24.2499950Z triton_mm_10 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:24.2501129Z triton_mm_11 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:46:24.2502323Z triton_mm_13 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:24.2503514Z triton_mm_14 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:46:24.2505151Z triton_mm_15 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:24.2506180Z SingleProcess AUTOTUNE benchmarking takes 0.1922 seconds and 0.0003 seconds precompiling for 12 choices 2025-09-07T10:46:24.4829158Z Autotune Choices Stats: 2025-09-07T10:46:24.4830317Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_27", "best_kernel_desc": "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", "best_time": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:46:24.4878695Z AUTOTUNE mm(100352x16, 16x64) 2025-09-07T10:46:24.4879007Z strides: [16, 1], [1, 16] 2025-09-07T10:46:24.4879313Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:24.4880063Z triton_mm_27 0.0164 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 2025-09-07T10:46:24.4881260Z triton_mm_16 0.0174 ms 94.1% 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 2025-09-07T10:46:24.4882700Z triton_mm_17 0.0174 ms 94.1% 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 2025-09-07T10:46:24.4883874Z triton_mm_20 0.0174 ms 94.1% 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 2025-09-07T10:46:24.4885038Z triton_mm_21 0.0174 ms 94.1% 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 2025-09-07T10:46:24.4886221Z triton_mm_23 0.0174 ms 94.1% 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 2025-09-07T10:46:24.4887379Z triton_mm_24 0.0174 ms 94.1% 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 2025-09-07T10:46:24.4888538Z triton_mm_26 0.0174 ms 94.1% 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 2025-09-07T10:46:24.4889710Z triton_mm_29 0.0174 ms 94.1% 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 2025-09-07T10:46:24.4890891Z triton_mm_30 0.0174 ms 94.1% 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=5, num_warps=8 2025-09-07T10:46:24.4891913Z SingleProcess AUTOTUNE benchmarking takes 0.2378 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T10:46:24.7569434Z Autotune Choices Stats: 2025-09-07T10:46:24.7570633Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_32", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:46:24.7616745Z AUTOTUNE mm(25088x64, 64x24) 2025-09-07T10:46:24.7617075Z strides: [64, 1], [1, 64] 2025-09-07T10:46:24.7617349Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:24.7618112Z triton_mm_32 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:24.7619633Z triton_mm_35 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=5, num_warps=4 2025-09-07T10:46:24.7620820Z triton_mm_37 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 2025-09-07T10:46:24.7622021Z triton_mm_38 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 2025-09-07T10:46:24.7623190Z triton_mm_41 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 2025-09-07T10:46:24.7624367Z triton_mm_42 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=4, num_warps=4 2025-09-07T10:46:24.7625622Z triton_mm_43 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 2025-09-07T10:46:24.7626379Z mm 0.0123 ms 91.7% 2025-09-07T10:46:24.7627063Z triton_mm_31 0.0123 ms 91.7% 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 2025-09-07T10:46:24.7628440Z triton_mm_34 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:24.7629456Z SingleProcess AUTOTUNE benchmarking takes 0.2729 seconds and 0.0004 seconds precompiling for 18 choices 2025-09-07T10:46:24.9852347Z Autotune Choices Stats: 2025-09-07T10:46:24.9853839Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_110", "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} 2025-09-07T10:46:24.9901108Z AUTOTUNE addmm(8x72, 8x24, 24x72) 2025-09-07T10:46:24.9901475Z strides: [0, 1], [24, 1], [1, 24] 2025-09-07T10:46:24.9901831Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:24.9902674Z triton_mm_110 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 2025-09-07T10:46:24.9903889Z triton_mm_111 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 2025-09-07T10:46:24.9905146Z triton_mm_112 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 2025-09-07T10:46:24.9906356Z triton_mm_113 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 2025-09-07T10:46:24.9907552Z triton_mm_114 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 2025-09-07T10:46:24.9908750Z triton_mm_115 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 2025-09-07T10:46:24.9909950Z triton_mm_116 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 2025-09-07T10:46:24.9911149Z triton_mm_117 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=3, num_warps=4 2025-09-07T10:46:24.9912716Z triton_mm_118 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 2025-09-07T10:46:24.9913926Z triton_mm_119 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=4 2025-09-07T10:46:24.9914978Z SingleProcess AUTOTUNE benchmarking takes 0.2235 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:46:25.2087908Z Autotune Choices Stats: 2025-09-07T10:46:25.2089126Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_173", "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": 0.006144000217318535, "best_triton_pos": 0} 2025-09-07T10:46:25.2133959Z AUTOTUNE addmm(8x120, 8x32, 32x120) 2025-09-07T10:46:25.2134340Z strides: [0, 1], [32, 1], [1, 32] 2025-09-07T10:46:25.2134701Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:25.2135533Z triton_mm_173 0.0061 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 2025-09-07T10:46:25.2137115Z triton_mm_181 0.0061 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 2025-09-07T10:46:25.2138304Z triton_mm_171 0.0072 ms 85.7% 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 2025-09-07T10:46:25.2139485Z triton_mm_172 0.0072 ms 85.7% 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=2, num_warps=2 2025-09-07T10:46:25.2140654Z triton_mm_174 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:46:25.2141829Z triton_mm_175 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:25.2143003Z triton_mm_176 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:25.2144175Z triton_mm_177 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:25.2145409Z triton_mm_178 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:25.2146600Z triton_mm_179 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:25.2147629Z SingleProcess AUTOTUNE benchmarking takes 0.2198 seconds and 0.0002 seconds precompiling for 15 choices 2025-09-07T10:46:25.4673940Z Autotune Choices Stats: 2025-09-07T10:46:25.4675171Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_301", "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} 2025-09-07T10:46:25.4721660Z AUTOTUNE mm(1568x80, 80x200) 2025-09-07T10:46:25.4721972Z strides: [80, 1], [1, 80] 2025-09-07T10:46:25.4722278Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:25.4723059Z triton_mm_301 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:25.4724544Z triton_mm_303 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 2025-09-07T10:46:25.4725757Z triton_mm_304 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 2025-09-07T10:46:25.4726955Z triton_mm_306 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 2025-09-07T10:46:25.4728148Z triton_mm_307 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 2025-09-07T10:46:25.4729346Z triton_mm_308 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 2025-09-07T10:46:25.4730555Z triton_mm_309 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 2025-09-07T10:46:25.4731891Z 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=4, num_warps=8 2025-09-07T10:46:25.4733351Z triton_mm_311 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 2025-09-07T10:46:25.4734556Z triton_mm_312 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 2025-09-07T10:46:25.4735602Z SingleProcess AUTOTUNE benchmarking takes 0.2500 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:25.7228159Z Autotune Choices Stats: 2025-09-07T10:46:25.7229315Z {"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=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} 2025-09-07T10:46:25.7276493Z AUTOTUNE mm(1568x200, 200x80) 2025-09-07T10:46:25.7276854Z strides: [200, 1], [1, 200] 2025-09-07T10:46:25.7277152Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:25.7277914Z triton_mm_321 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 2025-09-07T10:46:25.7279133Z triton_mm_322 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 2025-09-07T10:46:25.7279907Z mm 0.0102 ms 90.0% 2025-09-07T10:46:25.7280590Z triton_mm_319 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 2025-09-07T10:46:25.7281789Z triton_mm_320 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:25.7282971Z triton_mm_325 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 2025-09-07T10:46:25.7284154Z triton_mm_326 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 2025-09-07T10:46:25.7285617Z triton_mm_328 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 2025-09-07T10:46:25.7286818Z triton_mm_329 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 2025-09-07T10:46:25.7288005Z triton_mm_331 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 2025-09-07T10:46:25.7289044Z SingleProcess AUTOTUNE benchmarking takes 0.2548 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:25.9792213Z Autotune Choices Stats: 2025-09-07T10:46:25.9793398Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_337", "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} 2025-09-07T10:46:25.9841412Z AUTOTUNE mm(1568x80, 80x184) 2025-09-07T10:46:25.9841702Z strides: [80, 1], [1, 80] 2025-09-07T10:46:25.9841991Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:25.9843047Z triton_mm_337 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:46:25.9844261Z triton_mm_338 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 2025-09-07T10:46:25.9845464Z triton_mm_339 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 2025-09-07T10:46:25.9846666Z triton_mm_340 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 2025-09-07T10:46:25.9847878Z triton_mm_342 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 2025-09-07T10:46:25.9849058Z triton_mm_343 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 2025-09-07T10:46:25.9850259Z triton_mm_344 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 2025-09-07T10:46:25.9851462Z triton_mm_345 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 2025-09-07T10:46:25.9852673Z triton_mm_346 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 2025-09-07T10:46:25.9854110Z triton_mm_347 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 2025-09-07T10:46:25.9855153Z SingleProcess AUTOTUNE benchmarking takes 0.2558 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:26.2397672Z Autotune Choices Stats: 2025-09-07T10:46:26.2398877Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_357", "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} 2025-09-07T10:46:26.2447103Z AUTOTUNE mm(1568x184, 184x80) 2025-09-07T10:46:26.2447499Z strides: [184, 1], [1, 184] 2025-09-07T10:46:26.2448140Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:26.2448916Z triton_mm_357 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 2025-09-07T10:46:26.2450135Z triton_mm_358 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 2025-09-07T10:46:26.2451353Z triton_mm_361 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 2025-09-07T10:46:26.2452134Z mm 0.0102 ms 90.0% 2025-09-07T10:46:26.2453090Z triton_mm_355 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 2025-09-07T10:46:26.2454289Z triton_mm_356 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:26.2455468Z triton_mm_362 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 2025-09-07T10:46:26.2456840Z triton_mm_363 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 2025-09-07T10:46:26.2458038Z triton_mm_364 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 2025-09-07T10:46:26.2459234Z triton_mm_365 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 2025-09-07T10:46:26.2460274Z SingleProcess AUTOTUNE benchmarking takes 0.2599 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:26.5164188Z Autotune Choices Stats: 2025-09-07T10:46:26.5165356Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_445", "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} 2025-09-07T10:46:26.5215376Z AUTOTUNE addmm(8x480, 8x120, 120x480) 2025-09-07T10:46:26.5215749Z strides: [0, 1], [120, 1], [1, 120] 2025-09-07T10:46:26.5216108Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:26.5216955Z triton_mm_445 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 2025-09-07T10:46:26.5218169Z triton_mm_446 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 2025-09-07T10:46:26.5219375Z triton_mm_450 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 2025-09-07T10:46:26.5220567Z triton_mm_451 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 2025-09-07T10:46:26.5221784Z triton_mm_453 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=4, num_warps=8 2025-09-07T10:46:26.5222991Z triton_mm_454 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=3, num_warps=4 2025-09-07T10:46:26.5224200Z triton_mm_456 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 2025-09-07T10:46:26.5225836Z triton_mm_457 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 2025-09-07T10:46:26.5227048Z triton_mm_459 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 2025-09-07T10:46:26.5227798Z bias_addmm 0.0092 ms 88.9% 2025-09-07T10:46:26.5228364Z SingleProcess AUTOTUNE benchmarking takes 0.2718 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:26.7735922Z Autotune Choices Stats: 2025-09-07T10:46:26.7737087Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_463", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:46:26.7785855Z AUTOTUNE mm(1568x480, 480x112) 2025-09-07T10:46:26.7786200Z strides: [480, 1], [1, 480] 2025-09-07T10:46:26.7786518Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:26.7787640Z triton_mm_463 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 2025-09-07T10:46:26.7788860Z triton_mm_464 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 2025-09-07T10:46:26.7790068Z triton_mm_461 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 2025-09-07T10:46:26.7791258Z triton_mm_462 0.0123 ms 91.7% 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 2025-09-07T10:46:26.7792436Z triton_mm_467 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 2025-09-07T10:46:26.7793635Z triton_mm_468 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 2025-09-07T10:46:26.7794385Z mm 0.0133 ms 84.6% 2025-09-07T10:46:26.7795075Z triton_mm_470 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 2025-09-07T10:46:26.7796264Z triton_mm_471 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 2025-09-07T10:46:26.7797460Z triton_mm_473 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 2025-09-07T10:46:26.7798480Z SingleProcess AUTOTUNE benchmarking takes 0.2564 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:27.0267611Z Autotune Choices Stats: 2025-09-07T10:46:27.0268830Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_482", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:46:27.0317982Z AUTOTUNE mm(1568x112, 112x672) 2025-09-07T10:46:27.0318299Z strides: [112, 1], [1, 112] 2025-09-07T10:46:27.0318595Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:27.0319359Z triton_mm_482 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 2025-09-07T10:46:27.0320826Z triton_mm_484 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 2025-09-07T10:46:27.0322043Z triton_mm_486 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:46:27.0323257Z triton_mm_487 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 2025-09-07T10:46:27.0324462Z triton_mm_489 0.0113 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 2025-09-07T10:46:27.0325677Z triton_mm_490 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=3, num_warps=4 2025-09-07T10:46:27.0326888Z triton_mm_493 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 2025-09-07T10:46:27.0327636Z mm 0.0123 ms 91.7% 2025-09-07T10:46:27.0328447Z triton_mm_483 0.0123 ms 91.7% 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 2025-09-07T10:46:27.0329626Z triton_mm_485 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 2025-09-07T10:46:27.0330657Z SingleProcess AUTOTUNE benchmarking takes 0.2525 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:27.2969381Z Autotune Choices Stats: 2025-09-07T10:46:27.2970580Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_515", "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} 2025-09-07T10:46:27.3021443Z AUTOTUNE addmm(8x672, 8x168, 168x672) 2025-09-07T10:46:27.3021886Z strides: [0, 1], [168, 1], [1, 168] 2025-09-07T10:46:27.3022265Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:27.3023108Z triton_mm_515 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 2025-09-07T10:46:27.3024316Z triton_mm_516 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 2025-09-07T10:46:27.3025589Z triton_mm_520 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 2025-09-07T10:46:27.3026806Z triton_mm_521 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 2025-09-07T10:46:27.3028016Z triton_mm_527 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 2025-09-07T10:46:27.3029208Z triton_mm_514 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 2025-09-07T10:46:27.3030406Z triton_mm_517 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 2025-09-07T10:46:27.3031888Z triton_mm_523 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 2025-09-07T10:46:27.3033083Z triton_mm_524 0.0092 ms 88.9% 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 2025-09-07T10:46:27.3034287Z triton_mm_525 0.0092 ms 88.9% 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 2025-09-07T10:46:27.3035340Z SingleProcess AUTOTUNE benchmarking takes 0.2697 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:46:27.5584168Z Autotune Choices Stats: 2025-09-07T10:46:27.5585421Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_534", "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} 2025-09-07T10:46:27.5636802Z AUTOTUNE mm(1568x672, 672x112) 2025-09-07T10:46:27.5637138Z strides: [672, 1], [1, 672] 2025-09-07T10:46:27.5637445Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:27.5638485Z triton_mm_534 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 2025-09-07T10:46:27.5639704Z triton_mm_532 0.0133 ms 92.3% 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 2025-09-07T10:46:27.5648849Z triton_mm_533 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:46:27.5650154Z triton_mm_538 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 2025-09-07T10:46:27.5650937Z mm 0.0143 ms 85.7% 2025-09-07T10:46:27.5651647Z triton_mm_531 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 2025-09-07T10:46:27.5653170Z triton_mm_537 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 2025-09-07T10:46:27.5654369Z triton_mm_540 0.0154 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 2025-09-07T10:46:27.5655564Z triton_mm_541 0.0154 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 2025-09-07T10:46:27.5656750Z triton_mm_543 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:27.5657788Z SingleProcess AUTOTUNE benchmarking takes 0.2608 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:27.8232599Z Autotune Choices Stats: 2025-09-07T10:46:27.8233809Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_604", "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} 2025-09-07T10:46:27.8284782Z AUTOTUNE mm(392x672, 672x160) 2025-09-07T10:46:27.8285088Z strides: [672, 1], [1, 672] 2025-09-07T10:46:27.8285400Z dtypes: torch.float16, torch.float16 2025-09-07T10:46:27.8286204Z triton_mm_604 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 2025-09-07T10:46:27.8287226Z mm 0.0113 ms 90.9% 2025-09-07T10:46:27.8287917Z triton_mm_602 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 2025-09-07T10:46:27.8289106Z triton_mm_603 0.0123 ms 83.3% 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 2025-09-07T10:46:27.8290277Z triton_mm_608 0.0123 ms 83.3% 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 2025-09-07T10:46:27.8291471Z triton_mm_601 0.0133 ms 76.9% 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 2025-09-07T10:46:27.8292657Z triton_mm_607 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:46:27.8294059Z triton_mm_610 0.0154 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:27.8295416Z triton_mm_611 0.0154 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:46:27.8296607Z triton_mm_613 0.0154 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:46:27.8297636Z SingleProcess AUTOTUNE benchmarking takes 0.2611 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:28.0962808Z Autotune Choices Stats: 2025-09-07T10:46:28.0964009Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_654", "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=2, num_warps=2", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:46:28.1016652Z AUTOTUNE addmm(8x960, 8x240, 240x960) 2025-09-07T10:46:28.1017010Z strides: [0, 1], [240, 1], [1, 240] 2025-09-07T10:46:28.1017395Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:46:28.1018221Z triton_mm_654 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=2, num_warps=2 2025-09-07T10:46:28.1019457Z triton_mm_655 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 2025-09-07T10:46:28.1020658Z triton_mm_656 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 2025-09-07T10:46:28.1021865Z triton_mm_657 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 2025-09-07T10:46:28.1023070Z triton_mm_660 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 2025-09-07T10:46:28.1024270Z triton_mm_661 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 2025-09-07T10:46:28.1025563Z triton_mm_664 0.0092 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=3, num_warps=4 2025-09-07T10:46:28.1026777Z triton_mm_665 0.0092 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 2025-09-07T10:46:28.1028266Z triton_mm_667 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 2025-09-07T10:46:28.1029473Z triton_mm_669 0.0092 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 2025-09-07T10:46:28.1030514Z SingleProcess AUTOTUNE benchmarking takes 0.2708 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:46:56.4390838Z W0907 10:46:56.438000 69423 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:47:28.1773503Z pass 2025-09-07T10:47:35.5266308Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:47:35.5267764Z import pynvml # type: ignore[import] 2025-09-07T10:47:39.1108838Z 2025-09-07T10:47:40.6638953Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:47:40.6639615Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:47:40.6640721Z cuda train mobilevit_s 2025-09-07T10:48:18.2028038Z Autotune Choices Stats: 2025-09-07T10:48:18.2029281Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_136", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:48:18.2082437Z AUTOTUNE addmm(8192x288, 8192x144, 144x288) 2025-09-07T10:48:18.2082843Z strides: [0, 1], [144, 1], [1, 144] 2025-09-07T10:48:18.2083204Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:18.2084045Z triton_mm_136 0.0164 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 2025-09-07T10:48:18.2085286Z triton_mm_137 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 2025-09-07T10:48:18.2086495Z triton_mm_139 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 2025-09-07T10:48:18.2087702Z triton_mm_140 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:18.2088464Z bias_addmm 0.0205 ms 80.0% 2025-09-07T10:48:18.2089192Z triton_mm_131 0.0205 ms 80.0% 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 2025-09-07T10:48:18.2090381Z triton_mm_130 0.0215 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:48:18.2091574Z triton_mm_135 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 2025-09-07T10:48:18.2092767Z triton_mm_133 0.0225 ms 72.7% 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 2025-09-07T10:48:18.2094240Z triton_mm_134 0.0225 ms 72.7% 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 2025-09-07T10:48:18.2095627Z SingleProcess AUTOTUNE benchmarking takes 0.3133 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:48:18.7845876Z Autotune Choices Stats: 2025-09-07T10:48:18.7847129Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_118", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:48:18.7899097Z AUTOTUNE mm(8192x144, 144x144) 2025-09-07T10:48:18.7899422Z strides: [144, 1], [1, 144] 2025-09-07T10:48:18.7899724Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:18.7900488Z triton_mm_118 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 2025-09-07T10:48:18.7901707Z triton_mm_119 0.0143 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=4, num_warps=8 2025-09-07T10:48:18.7902917Z triton_mm_112 0.0154 ms 86.7% 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 2025-09-07T10:48:18.7904497Z triton_mm_109 0.0164 ms 81.2% 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 2025-09-07T10:48:18.7905786Z triton_mm_113 0.0164 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 2025-09-07T10:48:18.7906988Z triton_mm_121 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:18.7907751Z mm 0.0174 ms 76.5% 2025-09-07T10:48:18.7908424Z triton_mm_106 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:48:18.7909614Z triton_mm_120 0.0174 ms 76.5% 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 2025-09-07T10:48:18.7910813Z triton_mm_115 0.0184 ms 72.2% 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 2025-09-07T10:48:18.7911846Z SingleProcess AUTOTUNE benchmarking takes 0.2724 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:48:20.0379241Z Autotune Choices Stats: 2025-09-07T10:48:20.0380791Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.011264000087976456, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_mm_317", "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"} 2025-09-07T10:48:20.0434121Z AUTOTUNE addmm(2048x384, 2048x192, 192x384) 2025-09-07T10:48:20.0434527Z strides: [0, 1], [192, 1], [1, 192] 2025-09-07T10:48:20.0434894Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:20.0435296Z bias_addmm 0.0113 ms 100.0% 2025-09-07T10:48:20.0436031Z triton_mm_317 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:48:20.0437239Z triton_mm_319 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 2025-09-07T10:48:20.0438438Z triton_mm_320 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 2025-09-07T10:48:20.0440039Z triton_mm_321 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 2025-09-07T10:48:20.0441250Z triton_mm_322 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 2025-09-07T10:48:20.0442451Z triton_mm_323 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 2025-09-07T10:48:20.0443636Z triton_mm_326 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:20.0444832Z triton_mm_316 0.0133 ms 84.6% 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 2025-09-07T10:48:20.0446014Z triton_mm_325 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:20.0447237Z SingleProcess AUTOTUNE benchmarking takes 0.2926 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:48:20.6019210Z Autotune Choices Stats: 2025-09-07T10:48:20.6020431Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_299", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:48:20.6072739Z AUTOTUNE mm(2048x192, 192x192) 2025-09-07T10:48:20.6073033Z strides: [192, 1], [1, 192] 2025-09-07T10:48:20.6073356Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:20.6074122Z triton_mm_299 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 2025-09-07T10:48:20.6075333Z triton_mm_294 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 2025-09-07T10:48:20.6076509Z triton_mm_295 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 2025-09-07T10:48:20.6077685Z triton_mm_300 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 2025-09-07T10:48:20.6078878Z triton_mm_301 0.0102 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 2025-09-07T10:48:20.6080066Z triton_mm_302 0.0102 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 2025-09-07T10:48:20.6081258Z triton_mm_303 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:20.6082442Z triton_mm_304 0.0102 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 2025-09-07T10:48:20.6083625Z triton_mm_305 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:48:20.6084367Z mm 0.0113 ms 81.8% 2025-09-07T10:48:20.6085222Z SingleProcess AUTOTUNE benchmarking takes 0.2570 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:48:21.8362282Z Autotune Choices Stats: 2025-09-07T10:48:21.8363876Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.010239999741315842, "best_triton_kernel": "triton_mm_647", "best_triton_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"} 2025-09-07T10:48:21.8416537Z AUTOTUNE addmm(512x480, 512x240, 240x480) 2025-09-07T10:48:21.8416961Z strides: [0, 1], [240, 1], [1, 240] 2025-09-07T10:48:21.8417322Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:21.8417680Z bias_addmm 0.0102 ms 100.0% 2025-09-07T10:48:21.8418419Z triton_mm_647 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 2025-09-07T10:48:21.8419652Z triton_mm_648 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 2025-09-07T10:48:21.8420859Z triton_mm_641 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 2025-09-07T10:48:21.8422443Z triton_mm_642 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 2025-09-07T10:48:21.8423641Z triton_mm_643 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 2025-09-07T10:48:21.8424875Z triton_mm_650 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 2025-09-07T10:48:21.8426088Z triton_mm_651 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 2025-09-07T10:48:21.8427289Z triton_mm_653 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 2025-09-07T10:48:21.8428485Z triton_mm_644 0.0123 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 2025-09-07T10:48:21.8429526Z SingleProcess AUTOTUNE benchmarking takes 0.2879 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:48:22.3927430Z Autotune Choices Stats: 2025-09-07T10:48:22.3928646Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_623", "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} 2025-09-07T10:48:22.3987023Z AUTOTUNE mm(512x240, 240x240) 2025-09-07T10:48:22.3987392Z strides: [240, 1], [1, 240] 2025-09-07T10:48:22.3987691Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:22.3988488Z triton_mm_623 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 2025-09-07T10:48:22.3989714Z triton_mm_624 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 2025-09-07T10:48:22.3990911Z triton_mm_625 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 2025-09-07T10:48:22.3992039Z mm 0.0102 ms 90.0% 2025-09-07T10:48:22.3992740Z triton_mm_626 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 2025-09-07T10:48:22.3993941Z triton_mm_629 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 2025-09-07T10:48:22.3995120Z triton_mm_630 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 2025-09-07T10:48:22.3996319Z triton_mm_633 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 2025-09-07T10:48:22.3997510Z triton_mm_631 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 2025-09-07T10:48:22.3998718Z triton_mm_632 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=4, num_warps=8 2025-09-07T10:48:22.3999757Z SingleProcess AUTOTUNE benchmarking takes 0.2698 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:48:23.9846915Z Autotune Choices Stats: 2025-09-07T10:48:23.9848294Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_convolution2d_1", "best_kernel_desc": "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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:48:23.9900797Z AUTOTUNE convolution(8x3x256x256, 16x3x3x3) 2025-09-07T10:48:23.9901195Z strides: [196608, 65536, 256, 1], [27, 9, 3, 1] 2025-09-07T10:48:23.9901551Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:23.9902466Z triton_convolution2d_1 0.0215 ms 100.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:48:23.9903966Z triton_convolution2d_4 0.0236 ms 91.3% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:48:23.9905512Z triton_convolution2d_0 0.0276 ms 77.8% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:48:23.9906990Z triton_convolution2d_2 0.0287 ms 75.0% 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 2025-09-07T10:48:23.9908477Z triton_convolution2d_3 0.0287 ms 75.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:48:23.9909383Z convolution 0.0389 ms 55.3% 2025-09-07T10:48:23.9909932Z SingleProcess AUTOTUNE benchmarking takes 0.0939 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:48:24.1269686Z Autotune Choices Stats: 2025-09-07T10:48:24.1270996Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_6", "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": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:48:24.1324997Z AUTOTUNE convolution(8x16x128x128, 64x16x1x1) 2025-09-07T10:48:24.1325384Z strides: [262144, 16384, 128, 1], [16, 1, 1, 1] 2025-09-07T10:48:24.1326109Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:24.1327038Z triton_convolution2d_6 0.0215 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 2025-09-07T10:48:24.1328543Z triton_convolution2d_8 0.0215 ms 100.0% 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=8 2025-09-07T10:48:24.1330037Z triton_convolution2d_10 0.0215 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=8 2025-09-07T10:48:24.1331519Z triton_convolution2d_5 0.0225 ms 95.5% 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 2025-09-07T10:48:24.1333242Z triton_convolution2d_9 0.0225 ms 95.5% 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=8 2025-09-07T10:48:24.1334881Z triton_convolution2d_7 0.0236 ms 91.3% 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 2025-09-07T10:48:24.1335801Z convolution 0.0276 ms 77.8% 2025-09-07T10:48:24.1336091Z conv1x1_via_mm 0.1413 ms 15.2% 2025-09-07T10:48:24.1336670Z SingleProcess AUTOTUNE benchmarking takes 0.1419 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:48:24.2933128Z Autotune Choices Stats: 2025-09-07T10:48:24.2934478Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_11", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4", "best_time": 0.02969600073993206, "best_triton_pos": 0} 2025-09-07T10:48:24.2989928Z AUTOTUNE convolution(8x64x128x128, 32x64x1x1) 2025-09-07T10:48:24.2990335Z strides: [1048576, 16384, 128, 1], [64, 1, 1, 1] 2025-09-07T10:48:24.2990710Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:24.2991650Z triton_convolution2d_11 0.0297 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T10:48:24.2993144Z triton_convolution2d_12 0.0307 ms 96.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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=4 2025-09-07T10:48:24.2994630Z triton_convolution2d_14 0.0307 ms 96.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, 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=8 2025-09-07T10:48:24.2996110Z triton_convolution2d_15 0.0307 ms 96.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, 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=4 2025-09-07T10:48:24.2997649Z triton_convolution2d_17 0.0307 ms 96.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, 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=8 2025-09-07T10:48:24.2999110Z triton_convolution2d_16 0.0317 ms 93.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, 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=8 2025-09-07T10:48:24.3000013Z convolution 0.0358 ms 82.9% 2025-09-07T10:48:24.3000900Z triton_convolution2d_13 0.0358 ms 82.9% 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 2025-09-07T10:48:24.3002183Z conv1x1_via_mm 0.1362 ms 21.8% 2025-09-07T10:48:24.3002761Z SingleProcess AUTOTUNE benchmarking takes 0.1657 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:48:24.4702940Z Autotune Choices Stats: 2025-09-07T10:48:24.4704285Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_21", "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": 0.03993599861860275, "best_triton_pos": 0} 2025-09-07T10:48:24.4765139Z AUTOTUNE convolution(8x32x128x128, 128x32x1x1) 2025-09-07T10:48:24.4765549Z strides: [524288, 16384, 128, 1], [32, 1, 1, 1] 2025-09-07T10:48:24.4765905Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:24.4766834Z triton_convolution2d_21 0.0399 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 2025-09-07T10:48:24.4768531Z triton_convolution2d_23 0.0410 ms 97.5% 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 2025-09-07T10:48:24.4770016Z triton_convolution2d_24 0.0410 ms 97.5% 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 2025-09-07T10:48:24.4770922Z convolution 0.0420 ms 95.1% 2025-09-07T10:48:24.4771798Z triton_convolution2d_22 0.0420 ms 95.1% 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 2025-09-07T10:48:24.4773482Z triton_convolution2d_19 0.0430 ms 92.9% 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 2025-09-07T10:48:24.4774967Z triton_convolution2d_18 0.0440 ms 90.7% 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 2025-09-07T10:48:24.4776451Z triton_convolution2d_20 0.0543 ms 73.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:48:24.4777360Z conv1x1_via_mm 0.2529 ms 15.8% 2025-09-07T10:48:24.4777910Z SingleProcess AUTOTUNE benchmarking takes 0.1769 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:48:24.6300085Z Autotune Choices Stats: 2025-09-07T10:48:24.6301407Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_25", "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} 2025-09-07T10:48:24.6357038Z AUTOTUNE convolution(8x128x64x64, 64x128x1x1) 2025-09-07T10:48:24.6357461Z strides: [524288, 4096, 64, 1], [128, 1, 1, 1] 2025-09-07T10:48:24.6357821Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:24.6358725Z triton_convolution2d_25 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 2025-09-07T10:48:24.6360211Z triton_convolution2d_28 0.0184 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 2025-09-07T10:48:24.6361954Z triton_convolution2d_29 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 2025-09-07T10:48:24.6363439Z triton_convolution2d_26 0.0195 ms 94.7% 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 2025-09-07T10:48:24.6364914Z triton_convolution2d_31 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 2025-09-07T10:48:24.6366382Z triton_convolution2d_30 0.0205 ms 90.0% 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 2025-09-07T10:48:24.6367862Z triton_convolution2d_27 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 2025-09-07T10:48:24.6368767Z convolution 0.0266 ms 69.2% 2025-09-07T10:48:24.6369061Z conv1x1_via_mm 0.0993 ms 18.6% 2025-09-07T10:48:24.6369755Z SingleProcess AUTOTUNE benchmarking takes 0.1585 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:48:24.7942992Z Autotune Choices Stats: 2025-09-07T10:48:24.7944330Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_38", "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} 2025-09-07T10:48:24.7999546Z AUTOTUNE convolution(8x64x64x64, 256x64x1x1) 2025-09-07T10:48:24.7999948Z strides: [262144, 4096, 64, 1], [64, 1, 1, 1] 2025-09-07T10:48:24.8000297Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:24.8001209Z triton_convolution2d_38 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 2025-09-07T10:48:24.8002721Z triton_convolution2d_35 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 2025-09-07T10:48:24.8004217Z triton_convolution2d_37 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 2025-09-07T10:48:24.8005693Z triton_convolution2d_33 0.0287 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 2025-09-07T10:48:24.8007179Z triton_convolution2d_36 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 2025-09-07T10:48:24.8008659Z triton_convolution2d_32 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 2025-09-07T10:48:24.8010138Z triton_convolution2d_34 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 2025-09-07T10:48:24.8011034Z convolution 0.0410 ms 60.0% 2025-09-07T10:48:24.8011344Z conv1x1_via_mm 0.1526 ms 16.1% 2025-09-07T10:48:24.8012247Z SingleProcess AUTOTUNE benchmarking takes 0.1636 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:48:24.9605325Z Autotune Choices Stats: 2025-09-07T10:48:24.9606649Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_42", "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} 2025-09-07T10:48:24.9660998Z AUTOTUNE convolution(8x256x64x64, 64x256x1x1) 2025-09-07T10:48:24.9661365Z strides: [1048576, 4096, 64, 1], [256, 1, 1, 1] 2025-09-07T10:48:24.9661718Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:24.9662642Z triton_convolution2d_42 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 2025-09-07T10:48:24.9664141Z triton_convolution2d_43 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 2025-09-07T10:48:24.9665964Z triton_convolution2d_45 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 2025-09-07T10:48:24.9667445Z triton_convolution2d_40 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 2025-09-07T10:48:24.9668914Z triton_convolution2d_44 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 2025-09-07T10:48:24.9670370Z triton_convolution2d_39 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 2025-09-07T10:48:24.9671843Z triton_convolution2d_41 0.0379 ms 75.7% 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 2025-09-07T10:48:24.9672753Z convolution 0.0430 ms 66.7% 2025-09-07T10:48:24.9673044Z conv1x1_via_mm 0.1546 ms 18.5% 2025-09-07T10:48:24.9673607Z SingleProcess AUTOTUNE benchmarking takes 0.1656 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:48:25.1219756Z Autotune Choices Stats: 2025-09-07T10:48:25.1221096Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_71", "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} 2025-09-07T10:48:25.1275439Z AUTOTUNE convolution(8x256x32x32, 96x256x1x1) 2025-09-07T10:48:25.1275852Z strides: [262144, 1024, 32, 1], [256, 1, 1, 1] 2025-09-07T10:48:25.1276193Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:25.1277134Z triton_convolution2d_71 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 2025-09-07T10:48:25.1278644Z triton_convolution2d_72 0.0184 ms 94.4% 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 2025-09-07T10:48:25.1279552Z convolution 0.0205 ms 85.0% 2025-09-07T10:48:25.1280429Z triton_convolution2d_70 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 2025-09-07T10:48:25.1282274Z triton_convolution2d_73 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 2025-09-07T10:48:25.1283757Z triton_convolution2d_67 0.0225 ms 77.3% 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 2025-09-07T10:48:25.1285233Z triton_convolution2d_68 0.0246 ms 70.8% 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 2025-09-07T10:48:25.1286708Z triton_convolution2d_69 0.0307 ms 56.7% 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 2025-09-07T10:48:25.1287627Z conv1x1_via_mm 0.0594 ms 29.3% 2025-09-07T10:48:25.1288195Z SingleProcess AUTOTUNE benchmarking takes 0.1559 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:25.2807856Z Autotune Choices Stats: 2025-09-07T10:48:25.2809788Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03686400130391121, "best_triton_pos": 1, "best_triton_time": 0.04915200173854828, "best_triton_kernel": "triton_convolution2d_80", "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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:48:25.2863693Z AUTOTUNE convolution(8x96x32x32, 96x96x3x3) 2025-09-07T10:48:25.2864067Z strides: [98304, 1024, 32, 1], [864, 9, 3, 1] 2025-09-07T10:48:25.2864415Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:25.2864749Z convolution 0.0369 ms 100.0% 2025-09-07T10:48:25.2865691Z triton_convolution2d_80 0.0492 ms 75.0% 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 2025-09-07T10:48:25.2867189Z triton_convolution2d_77 0.0553 ms 66.7% 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 2025-09-07T10:48:25.2868681Z triton_convolution2d_74 0.0635 ms 58.1% 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 2025-09-07T10:48:25.2870156Z triton_convolution2d_75 0.0635 ms 58.1% 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 2025-09-07T10:48:25.2871638Z triton_convolution2d_79 0.0655 ms 56.3% 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 2025-09-07T10:48:25.2873121Z triton_convolution2d_78 0.0676 ms 54.5% 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 2025-09-07T10:48:25.2874598Z triton_convolution2d_76 0.1403 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:48:25.2875765Z SingleProcess AUTOTUNE benchmarking takes 0.1583 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:48:25.4298500Z Autotune Choices Stats: 2025-09-07T10:48:25.4299786Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_85", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:48:25.4354416Z AUTOTUNE convolution(8x96x32x32, 144x96x1x1) 2025-09-07T10:48:25.4354791Z strides: [98304, 1024, 32, 1], [96, 1, 1, 1] 2025-09-07T10:48:25.4355150Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:25.4356065Z triton_convolution2d_85 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:48:25.4357548Z triton_convolution2d_84 0.0133 ms 84.6% 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 2025-09-07T10:48:25.4359039Z triton_convolution2d_86 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:48:25.4360676Z triton_convolution2d_87 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:48:25.4362164Z triton_convolution2d_82 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:48:25.4363645Z triton_convolution2d_81 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:48:25.4364557Z convolution 0.0164 ms 68.8% 2025-09-07T10:48:25.4365436Z triton_convolution2d_83 0.0164 ms 68.8% 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 2025-09-07T10:48:25.4366330Z conv1x1_via_mm 0.0471 ms 23.9% 2025-09-07T10:48:25.4366897Z SingleProcess AUTOTUNE benchmarking takes 0.1476 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:25.7451977Z Autotune Choices Stats: 2025-09-07T10:48:25.7453445Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_100", "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} 2025-09-07T10:48:25.7510314Z AUTOTUNE addmm(8192x432, 8192x144, 144x432) 2025-09-07T10:48:25.7510665Z strides: [0, 1], [144, 1], [1, 144] 2025-09-07T10:48:25.7511036Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:25.7511875Z triton_mm_100 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 2025-09-07T10:48:25.7513099Z triton_mm_101 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 2025-09-07T10:48:25.7513867Z bias_addmm 0.0236 ms 91.3% 2025-09-07T10:48:25.7514594Z triton_mm_94 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=2, num_warps=4 2025-09-07T10:48:25.7515784Z triton_mm_97 0.0236 ms 91.3% 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 2025-09-07T10:48:25.7516977Z triton_mm_98 0.0236 ms 91.3% 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 2025-09-07T10:48:25.7518420Z triton_mm_103 0.0236 ms 91.3% 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 2025-09-07T10:48:25.7519629Z triton_mm_99 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:25.7520830Z triton_mm_104 0.0246 ms 87.5% 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 2025-09-07T10:48:25.7522019Z triton_mm_95 0.0256 ms 84.0% 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 2025-09-07T10:48:25.7523036Z SingleProcess AUTOTUNE benchmarking takes 0.3149 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:48:26.0202169Z Autotune Choices Stats: 2025-09-07T10:48:26.0203684Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_154", "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} 2025-09-07T10:48:26.0260157Z AUTOTUNE mm(8192x288, 288x144) 2025-09-07T10:48:26.0260477Z strides: [288, 1], [1, 288] 2025-09-07T10:48:26.0260759Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:26.0261530Z triton_mm_154 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 2025-09-07T10:48:26.0262736Z triton_mm_155 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 2025-09-07T10:48:26.0263490Z mm 0.0184 ms 88.9% 2025-09-07T10:48:26.0264187Z triton_mm_157 0.0195 ms 84.2% 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 2025-09-07T10:48:26.0265435Z triton_mm_145 0.0205 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:26.0266595Z triton_mm_148 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 2025-09-07T10:48:26.0267773Z triton_mm_149 0.0215 ms 76.2% 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 2025-09-07T10:48:26.0268960Z triton_mm_151 0.0215 ms 76.2% 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 2025-09-07T10:48:26.0270156Z triton_mm_153 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 2025-09-07T10:48:26.0271355Z triton_mm_158 0.0215 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:26.0272395Z SingleProcess AUTOTUNE benchmarking takes 0.2743 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:48:26.1749709Z Autotune Choices Stats: 2025-09-07T10:48:26.1751036Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_236", "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} 2025-09-07T10:48:26.1808441Z AUTOTUNE convolution(8x144x32x32, 96x144x1x1) 2025-09-07T10:48:26.1808841Z strides: [147456, 1024, 32, 1], [144, 1, 1, 1] 2025-09-07T10:48:26.1809186Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:26.1810097Z triton_convolution2d_236 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 2025-09-07T10:48:26.1811603Z triton_convolution2d_235 0.0154 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 2025-09-07T10:48:26.1813329Z triton_convolution2d_237 0.0154 ms 93.3% 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 2025-09-07T10:48:26.1814831Z triton_convolution2d_238 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:48:26.1816508Z triton_convolution2d_232 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:48:26.1818000Z triton_convolution2d_233 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 2025-09-07T10:48:26.1818906Z convolution 0.0184 ms 77.8% 2025-09-07T10:48:26.1819778Z triton_convolution2d_234 0.0195 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 2025-09-07T10:48:26.1820697Z conv1x1_via_mm 0.0471 ms 30.4% 2025-09-07T10:48:26.1821263Z SingleProcess AUTOTUNE benchmarking takes 0.1492 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:26.3817559Z Autotune Choices Stats: 2025-09-07T10:48:26.3819244Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.050175998359918594, "best_triton_pos": 1, "best_triton_time": 0.10444799810647964, "best_triton_kernel": "triton_convolution2d_245", "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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:48:26.3876909Z AUTOTUNE convolution(8x192x32x32, 96x192x3x3) 2025-09-07T10:48:26.3877322Z strides: [196608, 1024, 32, 1], [1728, 9, 3, 1] 2025-09-07T10:48:26.3877679Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:26.3878016Z convolution 0.0502 ms 100.0% 2025-09-07T10:48:26.3878907Z triton_convolution2d_245 0.1044 ms 48.0% 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 2025-09-07T10:48:26.3880410Z triton_convolution2d_242 0.1116 ms 45.0% 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 2025-09-07T10:48:26.3881902Z triton_convolution2d_243 0.1178 ms 42.6% 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 2025-09-07T10:48:26.3883388Z triton_convolution2d_239 0.1219 ms 41.2% 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 2025-09-07T10:48:26.3885123Z triton_convolution2d_244 0.1249 ms 40.2% 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 2025-09-07T10:48:26.3886635Z triton_convolution2d_240 0.1280 ms 39.2% 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 2025-09-07T10:48:26.3888128Z triton_convolution2d_241 0.2826 ms 17.8% 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 2025-09-07T10:48:26.3889294Z SingleProcess AUTOTUNE benchmarking takes 0.2063 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:48:26.5330817Z Autotune Choices Stats: 2025-09-07T10:48:26.5332137Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_249", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:48:26.5390812Z AUTOTUNE convolution(8x96x32x32, 384x96x1x1) 2025-09-07T10:48:26.5391443Z strides: [98304, 1024, 32, 1], [96, 1, 1, 1] 2025-09-07T10:48:26.5391787Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:26.5392717Z triton_convolution2d_249 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 2025-09-07T10:48:26.5394231Z triton_convolution2d_252 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 2025-09-07T10:48:26.5395743Z triton_convolution2d_247 0.0164 ms 93.7% 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 2025-09-07T10:48:26.5397231Z triton_convolution2d_250 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 2025-09-07T10:48:26.5398707Z triton_convolution2d_251 0.0184 ms 83.3% 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 2025-09-07T10:48:26.5400188Z triton_convolution2d_246 0.0205 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 2025-09-07T10:48:26.5401680Z triton_convolution2d_248 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 2025-09-07T10:48:26.5402591Z convolution 0.0297 ms 51.7% 2025-09-07T10:48:26.5402872Z conv1x1_via_mm 0.0778 ms 19.7% 2025-09-07T10:48:26.5403437Z SingleProcess AUTOTUNE benchmarking takes 0.1499 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:26.6880667Z Autotune Choices Stats: 2025-09-07T10:48:26.6882298Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_convolution2d_257", "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"} 2025-09-07T10:48:26.6940093Z AUTOTUNE convolution(8x384x16x16, 128x384x1x1) 2025-09-07T10:48:26.6940485Z strides: [98304, 256, 16, 1], [384, 1, 1, 1] 2025-09-07T10:48:26.6940818Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:26.6941142Z convolution 0.0123 ms 100.0% 2025-09-07T10:48:26.6942039Z triton_convolution2d_257 0.0174 ms 70.6% 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 2025-09-07T10:48:26.6943523Z triton_convolution2d_258 0.0195 ms 63.2% 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 2025-09-07T10:48:26.6945062Z triton_convolution2d_256 0.0236 ms 52.2% 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 2025-09-07T10:48:26.6946570Z triton_convolution2d_259 0.0236 ms 52.2% 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 2025-09-07T10:48:26.6948204Z triton_convolution2d_253 0.0256 ms 48.0% 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 2025-09-07T10:48:26.6949688Z triton_convolution2d_254 0.0287 ms 42.9% 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 2025-09-07T10:48:26.6951182Z triton_convolution2d_255 0.0399 ms 30.8% 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 2025-09-07T10:48:26.6952100Z conv1x1_via_mm 0.0410 ms 30.0% 2025-09-07T10:48:26.6952667Z SingleProcess AUTOTUNE benchmarking takes 0.1543 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:26.8582089Z Autotune Choices Stats: 2025-09-07T10:48:26.8583780Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.028672000393271446, "best_triton_pos": 1, "best_triton_time": 0.04710400104522705, "best_triton_kernel": "triton_convolution2d_264", "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"} 2025-09-07T10:48:26.8642208Z AUTOTUNE convolution(8x128x16x16, 128x128x3x3) 2025-09-07T10:48:26.8642587Z strides: [32768, 256, 16, 1], [1152, 9, 3, 1] 2025-09-07T10:48:26.8642933Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:26.8643238Z convolution 0.0287 ms 100.0% 2025-09-07T10:48:26.8644134Z triton_convolution2d_264 0.0471 ms 60.9% 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 2025-09-07T10:48:26.8645646Z triton_convolution2d_265 0.0666 ms 43.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:48:26.8647144Z triton_convolution2d_266 0.0686 ms 41.8% 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 2025-09-07T10:48:26.8648629Z triton_convolution2d_260 0.0778 ms 36.8% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:48:26.8650120Z triton_convolution2d_263 0.0778 ms 36.8% 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 2025-09-07T10:48:26.8651847Z triton_convolution2d_261 0.0870 ms 32.9% 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 2025-09-07T10:48:26.8653597Z triton_convolution2d_262 0.1853 ms 15.5% 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 2025-09-07T10:48:26.8654763Z SingleProcess AUTOTUNE benchmarking takes 0.1687 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:48:27.0068833Z Autotune Choices Stats: 2025-09-07T10:48:27.0070131Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_271", "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} 2025-09-07T10:48:27.0129495Z AUTOTUNE convolution(8x128x16x16, 192x128x1x1) 2025-09-07T10:48:27.0129909Z strides: [32768, 256, 16, 1], [128, 1, 1, 1] 2025-09-07T10:48:27.0130252Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:27.0138313Z triton_convolution2d_271 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 2025-09-07T10:48:27.0139389Z convolution 0.0113 ms 90.9% 2025-09-07T10:48:27.0140285Z triton_convolution2d_270 0.0133 ms 76.9% 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 2025-09-07T10:48:27.0141784Z triton_convolution2d_272 0.0133 ms 76.9% 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 2025-09-07T10:48:27.0143283Z triton_convolution2d_273 0.0133 ms 76.9% 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 2025-09-07T10:48:27.0144861Z triton_convolution2d_268 0.0143 ms 71.4% 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 2025-09-07T10:48:27.0146361Z triton_convolution2d_267 0.0154 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 2025-09-07T10:48:27.0147830Z triton_convolution2d_269 0.0174 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 2025-09-07T10:48:27.0148752Z conv1x1_via_mm 0.0287 ms 35.7% 2025-09-07T10:48:27.0149332Z SingleProcess AUTOTUNE benchmarking takes 0.1472 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:27.2987162Z Autotune Choices Stats: 2025-09-07T10:48:27.2988349Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_283", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:48:27.3049555Z AUTOTUNE addmm(2048x576, 2048x192, 192x576) 2025-09-07T10:48:27.3049901Z strides: [0, 1], [192, 1], [1, 192] 2025-09-07T10:48:27.3050255Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:27.3051383Z triton_mm_283 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 2025-09-07T10:48:27.3052598Z triton_mm_286 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 2025-09-07T10:48:27.3054021Z triton_mm_280 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:48:27.3055206Z triton_mm_281 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 2025-09-07T10:48:27.3056388Z triton_mm_284 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 2025-09-07T10:48:27.3057566Z triton_mm_285 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 2025-09-07T10:48:27.3058749Z triton_mm_287 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 2025-09-07T10:48:27.3060109Z triton_mm_289 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:27.3061314Z triton_mm_290 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:48:27.3062517Z triton_mm_291 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:27.3063553Z SingleProcess AUTOTUNE benchmarking takes 0.2912 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:48:27.5578124Z Autotune Choices Stats: 2025-09-07T10:48:27.5579353Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_335", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:48:27.5639549Z AUTOTUNE mm(2048x384, 384x192) 2025-09-07T10:48:27.5639853Z strides: [384, 1], [1, 384] 2025-09-07T10:48:27.5640159Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:27.5640918Z triton_mm_335 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:48:27.5642126Z triton_mm_336 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 2025-09-07T10:48:27.5643337Z triton_mm_338 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=4, num_warps=8 2025-09-07T10:48:27.5644531Z triton_mm_339 0.0123 ms 91.7% 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 2025-09-07T10:48:27.5645696Z triton_mm_341 0.0123 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=4, num_warps=8 2025-09-07T10:48:27.5646879Z triton_mm_329 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 2025-09-07T10:48:27.5648055Z triton_mm_330 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 2025-09-07T10:48:27.5649594Z triton_mm_331 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 2025-09-07T10:48:27.5650339Z mm 0.0143 ms 78.6% 2025-09-07T10:48:27.5651043Z triton_mm_332 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:48:27.5652056Z SingleProcess AUTOTUNE benchmarking takes 0.2582 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:48:27.7237458Z Autotune Choices Stats: 2025-09-07T10:48:27.7239106Z {"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_566", "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"} 2025-09-07T10:48:27.7303485Z AUTOTUNE convolution(8x192x16x16, 128x192x1x1) 2025-09-07T10:48:27.7303899Z strides: [49152, 256, 16, 1], [192, 1, 1, 1] 2025-09-07T10:48:27.7304260Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:27.7306605Z convolution 0.0123 ms 100.0% 2025-09-07T10:48:27.7307587Z triton_convolution2d_566 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 2025-09-07T10:48:27.7309089Z triton_convolution2d_567 0.0133 ms 92.3% 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 2025-09-07T10:48:27.7310595Z triton_convolution2d_565 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 2025-09-07T10:48:27.7312103Z triton_convolution2d_568 0.0154 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 2025-09-07T10:48:27.7313592Z triton_convolution2d_562 0.0164 ms 75.0% 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 2025-09-07T10:48:27.7317333Z triton_convolution2d_563 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 2025-09-07T10:48:27.7318848Z triton_convolution2d_564 0.0215 ms 57.1% 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 2025-09-07T10:48:27.7319752Z conv1x1_via_mm 0.0287 ms 42.9% 2025-09-07T10:48:27.7320327Z SingleProcess AUTOTUNE benchmarking takes 0.1504 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:27.9437632Z Autotune Choices Stats: 2025-09-07T10:48:27.9439317Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03993599861860275, "best_triton_pos": 1, "best_triton_time": 0.08499199897050858, "best_triton_kernel": "triton_convolution2d_573", "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"} 2025-09-07T10:48:27.9499640Z AUTOTUNE convolution(8x256x16x16, 128x256x3x3) 2025-09-07T10:48:27.9500305Z strides: [65536, 256, 16, 1], [2304, 9, 3, 1] 2025-09-07T10:48:27.9500644Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:27.9500963Z convolution 0.0399 ms 100.0% 2025-09-07T10:48:27.9501844Z triton_convolution2d_573 0.0850 ms 47.0% 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 2025-09-07T10:48:27.9503361Z triton_convolution2d_574 0.1239 ms 32.2% 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 2025-09-07T10:48:27.9504912Z triton_convolution2d_575 0.1331 ms 30.0% 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 2025-09-07T10:48:27.9506417Z triton_convolution2d_572 0.1495 ms 26.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:48:27.9507920Z triton_convolution2d_569 0.1505 ms 26.5% 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 2025-09-07T10:48:27.9509576Z triton_convolution2d_570 0.1679 ms 23.8% 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 2025-09-07T10:48:27.9511080Z triton_convolution2d_571 0.3635 ms 11.0% 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 2025-09-07T10:48:27.9512264Z SingleProcess AUTOTUNE benchmarking takes 0.2180 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:48:28.0944283Z Autotune Choices Stats: 2025-09-07T10:48:28.0945653Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_580", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:48:28.1006358Z AUTOTUNE convolution(8x128x16x16, 512x128x1x1) 2025-09-07T10:48:28.1006749Z strides: [32768, 256, 16, 1], [128, 1, 1, 1] 2025-09-07T10:48:28.1007094Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:28.1008014Z triton_convolution2d_580 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:48:28.1009512Z triton_convolution2d_579 0.0133 ms 84.6% 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 2025-09-07T10:48:28.1011023Z triton_convolution2d_581 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:48:28.1012521Z triton_convolution2d_582 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:48:28.1014231Z triton_convolution2d_577 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:48:28.1015719Z triton_convolution2d_576 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:48:28.1016930Z convolution 0.0164 ms 68.8% 2025-09-07T10:48:28.1017818Z triton_convolution2d_578 0.0174 ms 64.7% 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 2025-09-07T10:48:28.1018726Z conv1x1_via_mm 0.0440 ms 25.6% 2025-09-07T10:48:28.1019297Z SingleProcess AUTOTUNE benchmarking takes 0.1491 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:28.2552848Z Autotune Choices Stats: 2025-09-07T10:48:28.2554486Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.011264000087976456, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "best_triton_kernel": "triton_convolution2d_587", "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"} 2025-09-07T10:48:28.2615275Z AUTOTUNE convolution(8x512x8x8, 160x512x1x1) 2025-09-07T10:48:28.2615667Z strides: [32768, 64, 8, 1], [512, 1, 1, 1] 2025-09-07T10:48:28.2616004Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:28.2616311Z convolution 0.0113 ms 100.0% 2025-09-07T10:48:28.2617437Z triton_convolution2d_587 0.0195 ms 57.9% 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 2025-09-07T10:48:28.2618950Z triton_convolution2d_586 0.0256 ms 44.0% 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 2025-09-07T10:48:28.2620446Z triton_convolution2d_588 0.0256 ms 44.0% 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 2025-09-07T10:48:28.2621945Z triton_convolution2d_589 0.0276 ms 40.7% 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 2025-09-07T10:48:28.2622850Z conv1x1_via_mm 0.0287 ms 39.3% 2025-09-07T10:48:28.2623734Z triton_convolution2d_583 0.0338 ms 33.3% 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 2025-09-07T10:48:28.2625277Z triton_convolution2d_584 0.0348 ms 32.4% 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 2025-09-07T10:48:28.2626770Z triton_convolution2d_585 0.0430 ms 26.2% 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 2025-09-07T10:48:28.2627950Z SingleProcess AUTOTUNE benchmarking takes 0.1602 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:28.4359983Z Autotune Choices Stats: 2025-09-07T10:48:28.4361615Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.02969600073993206, "best_triton_pos": 1, "best_triton_time": 0.060416001826524734, "best_triton_kernel": "triton_convolution2d_594", "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"} 2025-09-07T10:48:28.4423997Z AUTOTUNE convolution(8x160x8x8, 160x160x3x3) 2025-09-07T10:48:28.4424365Z strides: [10240, 64, 8, 1], [1440, 9, 3, 1] 2025-09-07T10:48:28.4424694Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:28.4425299Z convolution 0.0297 ms 100.0% 2025-09-07T10:48:28.4426179Z triton_convolution2d_594 0.0604 ms 49.2% 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 2025-09-07T10:48:28.4427683Z triton_convolution2d_596 0.0850 ms 34.9% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:48:28.4429186Z triton_convolution2d_593 0.0952 ms 31.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:48:28.4430680Z triton_convolution2d_595 0.0973 ms 30.5% 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 2025-09-07T10:48:28.4432173Z triton_convolution2d_591 0.1024 ms 29.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:48:28.4433769Z triton_convolution2d_590 0.1208 ms 24.6% 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 2025-09-07T10:48:28.4435263Z triton_convolution2d_592 0.1372 ms 21.6% 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:48:28.4436438Z SingleProcess AUTOTUNE benchmarking takes 0.1792 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:48:28.5863002Z Autotune Choices Stats: 2025-09-07T10:48:28.5864645Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.010239999741315842, "best_triton_kernel": "triton_convolution2d_601", "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"} 2025-09-07T10:48:28.5926224Z AUTOTUNE convolution(8x160x8x8, 240x160x1x1) 2025-09-07T10:48:28.5926617Z strides: [10240, 64, 8, 1], [160, 1, 1, 1] 2025-09-07T10:48:28.5926939Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:28.5927260Z convolution 0.0102 ms 100.0% 2025-09-07T10:48:28.5928159Z triton_convolution2d_601 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 2025-09-07T10:48:28.5929656Z triton_convolution2d_600 0.0133 ms 76.9% 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 2025-09-07T10:48:28.5931151Z triton_convolution2d_602 0.0143 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 2025-09-07T10:48:28.5932635Z triton_convolution2d_603 0.0143 ms 71.4% 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 2025-09-07T10:48:28.5934371Z triton_convolution2d_599 0.0154 ms 66.7% 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 2025-09-07T10:48:28.5935841Z triton_convolution2d_597 0.0164 ms 62.5% 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 2025-09-07T10:48:28.5937580Z triton_convolution2d_598 0.0164 ms 62.5% 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 2025-09-07T10:48:28.5938488Z conv1x1_via_mm 0.0266 ms 38.5% 2025-09-07T10:48:28.5939064Z SingleProcess AUTOTUNE benchmarking takes 0.1487 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:28.8753834Z Autotune Choices Stats: 2025-09-07T10:48:28.8755037Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_611", "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} 2025-09-07T10:48:28.8818230Z AUTOTUNE addmm(512x720, 512x240, 240x720) 2025-09-07T10:48:28.8818620Z strides: [0, 1], [240, 1], [1, 240] 2025-09-07T10:48:28.8818986Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:28.8819821Z triton_mm_611 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 2025-09-07T10:48:28.8821309Z triton_mm_612 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 2025-09-07T10:48:28.8822100Z bias_addmm 0.0113 ms 90.9% 2025-09-07T10:48:28.8822834Z triton_mm_605 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 2025-09-07T10:48:28.8824039Z triton_mm_606 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 2025-09-07T10:48:28.8825327Z triton_mm_607 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 2025-09-07T10:48:28.8826524Z triton_mm_614 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 2025-09-07T10:48:28.8827725Z triton_mm_615 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 2025-09-07T10:48:28.8828903Z triton_mm_617 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 2025-09-07T10:48:28.8830111Z triton_mm_613 0.0123 ms 83.3% 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 2025-09-07T10:48:28.8831146Z SingleProcess AUTOTUNE benchmarking takes 0.2874 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:48:29.1322315Z Autotune Choices Stats: 2025-09-07T10:48:29.1323560Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_662", "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} 2025-09-07T10:48:29.1386574Z AUTOTUNE mm(512x480, 480x240) 2025-09-07T10:48:29.1386913Z strides: [480, 1], [1, 480] 2025-09-07T10:48:29.1387201Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:29.1387980Z triton_mm_662 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 2025-09-07T10:48:29.1389091Z mm 0.0113 ms 90.9% 2025-09-07T10:48:29.1389800Z triton_mm_659 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 2025-09-07T10:48:29.1390985Z triton_mm_660 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 2025-09-07T10:48:29.1392171Z triton_mm_661 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 2025-09-07T10:48:29.1393344Z triton_mm_666 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 2025-09-07T10:48:29.1394534Z triton_mm_665 0.0123 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 2025-09-07T10:48:29.1395716Z triton_mm_668 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 2025-09-07T10:48:29.1396906Z triton_mm_669 0.0133 ms 76.9% 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 2025-09-07T10:48:29.1398260Z triton_mm_671 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 2025-09-07T10:48:29.1399292Z SingleProcess AUTOTUNE benchmarking takes 0.2561 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:48:29.2951684Z Autotune Choices Stats: 2025-09-07T10:48:29.2953348Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.013311999849975109, "best_triton_kernel": "triton_convolution2d_824", "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"} 2025-09-07T10:48:29.3015899Z AUTOTUNE convolution(8x240x8x8, 160x240x1x1) 2025-09-07T10:48:29.3016290Z strides: [15360, 64, 8, 1], [240, 1, 1, 1] 2025-09-07T10:48:29.3016644Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:29.3016965Z convolution 0.0102 ms 100.0% 2025-09-07T10:48:29.3017837Z triton_convolution2d_824 0.0133 ms 76.9% 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 2025-09-07T10:48:29.3019345Z triton_convolution2d_823 0.0174 ms 58.8% 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 2025-09-07T10:48:29.3020850Z triton_convolution2d_825 0.0174 ms 58.8% 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 2025-09-07T10:48:29.3022340Z triton_convolution2d_826 0.0174 ms 58.8% 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 2025-09-07T10:48:29.3023820Z triton_convolution2d_822 0.0195 ms 52.6% 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 2025-09-07T10:48:29.3025359Z triton_convolution2d_820 0.0205 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 2025-09-07T10:48:29.3027094Z triton_convolution2d_821 0.0205 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 2025-09-07T10:48:29.3028004Z conv1x1_via_mm 0.0276 ms 37.0% 2025-09-07T10:48:29.3028572Z SingleProcess AUTOTUNE benchmarking takes 0.1514 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:29.5444991Z Autotune Choices Stats: 2025-09-07T10:48:29.5447748Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03686400130391121, "best_triton_pos": 1, "best_triton_time": 0.11468800157308578, "best_triton_kernel": "triton_convolution2d_831", "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"} 2025-09-07T10:48:29.5509782Z AUTOTUNE convolution(8x320x8x8, 160x320x3x3) 2025-09-07T10:48:29.5510393Z strides: [20480, 64, 8, 1], [2880, 9, 3, 1] 2025-09-07T10:48:29.5510959Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:29.5511472Z convolution 0.0369 ms 100.0% 2025-09-07T10:48:29.5513477Z triton_convolution2d_831 0.1147 ms 32.1% 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 2025-09-07T10:48:29.5516453Z triton_convolution2d_833 0.1628 ms 22.6% 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 2025-09-07T10:48:29.5519406Z triton_convolution2d_830 0.1823 ms 20.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:48:29.5522360Z triton_convolution2d_832 0.1905 ms 19.4% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:48:29.5525281Z triton_convolution2d_828 0.1976 ms 18.7% 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 2025-09-07T10:48:29.5528227Z triton_convolution2d_827 0.2355 ms 15.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:48:29.5531166Z triton_convolution2d_829 0.2673 ms 13.8% 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 2025-09-07T10:48:29.5533899Z SingleProcess AUTOTUNE benchmarking takes 0.2476 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:48:29.6946195Z Autotune Choices Stats: 2025-09-07T10:48:29.6949170Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_convolution2d_838", "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"} 2025-09-07T10:48:29.7011267Z AUTOTUNE convolution(8x160x8x8, 640x160x1x1) 2025-09-07T10:48:29.7011885Z strides: [10240, 64, 8, 1], [160, 1, 1, 1] 2025-09-07T10:48:29.7012464Z dtypes: torch.float16, torch.float16 2025-09-07T10:48:29.7013423Z convolution 0.0102 ms 100.0% 2025-09-07T10:48:29.7015007Z triton_convolution2d_838 0.0113 ms 90.9% 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 2025-09-07T10:48:29.7018213Z triton_convolution2d_837 0.0143 ms 71.4% 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 2025-09-07T10:48:29.7021021Z triton_convolution2d_839 0.0143 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 2025-09-07T10:48:29.7023863Z triton_convolution2d_840 0.0143 ms 71.4% 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 2025-09-07T10:48:29.7026769Z triton_convolution2d_834 0.0154 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 2025-09-07T10:48:29.7029601Z triton_convolution2d_835 0.0164 ms 62.5% 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 2025-09-07T10:48:29.7032749Z triton_convolution2d_836 0.0174 ms 58.8% 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 2025-09-07T10:48:29.7034410Z conv1x1_via_mm 0.0307 ms 33.3% 2025-09-07T10:48:29.7035421Z SingleProcess AUTOTUNE benchmarking takes 0.1485 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:48:29.9744975Z Autotune Choices Stats: 2025-09-07T10:48:29.9747067Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_845", "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} 2025-09-07T10:48:29.9813417Z AUTOTUNE addmm(8x1000, 8x640, 640x1000) 2025-09-07T10:48:29.9814057Z strides: [0, 1], [640, 1], [1, 640] 2025-09-07T10:48:29.9814632Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:48:29.9815989Z triton_mm_845 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 2025-09-07T10:48:29.9818098Z triton_mm_849 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:48:29.9820210Z triton_mm_843 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:48:29.9822319Z triton_mm_844 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:48:29.9824531Z triton_mm_853 0.0113 ms 90.9% 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 2025-09-07T10:48:29.9826915Z triton_mm_857 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:48:29.9829181Z triton_mm_842 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:48:29.9831397Z triton_mm_848 0.0123 ms 83.3% 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 2025-09-07T10:48:29.9833268Z bias_addmm 0.0133 ms 76.9% 2025-09-07T10:48:29.9834606Z triton_mm_852 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=3, num_warps=4 2025-09-07T10:48:29.9836542Z SingleProcess AUTOTUNE benchmarking takes 0.2783 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:49:18.2617669Z Autotune Choices Stats: 2025-09-07T10:49:18.2618960Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1911", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:49:18.2687507Z AUTOTUNE mm(8192x144, 144x288) 2025-09-07T10:49:18.2687867Z strides: [144, 1], [288, 1] 2025-09-07T10:49:18.2688183Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:18.2688969Z triton_mm_1911 0.0154 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 2025-09-07T10:49:18.2690231Z triton_mm_1912 0.0164 ms 93.7% 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 2025-09-07T10:49:18.2691804Z triton_mm_1914 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:18.2693309Z triton_mm_1913 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:49:18.2694080Z mm 0.0184 ms 83.3% 2025-09-07T10:49:18.2694782Z triton_mm_1904 0.0184 ms 83.3% 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 2025-09-07T10:49:18.2695974Z triton_mm_1908 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:18.2697192Z triton_mm_1915 0.0184 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:18.2698407Z triton_mm_1906 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 2025-09-07T10:49:18.2699617Z triton_mm_1909 0.0195 ms 78.9% 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 2025-09-07T10:49:18.2700661Z SingleProcess AUTOTUNE benchmarking takes 0.2677 seconds and 0.0006 seconds precompiling for 19 choices 2025-09-07T10:49:18.8061931Z Autotune Choices Stats: 2025-09-07T10:49:18.8063129Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1336", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:49:18.8126535Z AUTOTUNE mm(2048x192, 192x384) 2025-09-07T10:49:18.8126931Z strides: [192, 1], [384, 1] 2025-09-07T10:49:18.8127227Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:18.8127996Z triton_mm_1336 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 2025-09-07T10:49:18.8129205Z triton_mm_1330 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 2025-09-07T10:49:18.8130742Z triton_mm_1332 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=3, num_warps=4 2025-09-07T10:49:18.8131939Z triton_mm_1333 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 2025-09-07T10:49:18.8133366Z triton_mm_1334 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:18.8134564Z triton_mm_1335 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=3, num_warps=4 2025-09-07T10:49:18.8135316Z mm 0.0123 ms 83.3% 2025-09-07T10:49:18.8136001Z triton_mm_1329 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 2025-09-07T10:49:18.8137199Z triton_mm_1338 0.0123 ms 83.3% 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 2025-09-07T10:49:18.8138402Z triton_mm_1339 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:18.8139610Z SingleProcess AUTOTUNE benchmarking takes 0.2459 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:49:19.3496775Z Autotune Choices Stats: 2025-09-07T10:49:19.3498002Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_880", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:49:19.3565454Z AUTOTUNE mm(1000x8, 8x640) 2025-09-07T10:49:19.3565763Z strides: [1, 1000], [640, 1] 2025-09-07T10:49:19.3566061Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:19.3566818Z triton_mm_880 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:49:19.3568034Z triton_mm_881 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:19.3569228Z triton_mm_882 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:19.3570424Z triton_mm_885 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 2025-09-07T10:49:19.3571648Z triton_mm_886 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:19.3573117Z triton_mm_887 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:19.3574328Z triton_mm_875 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 2025-09-07T10:49:19.3575500Z triton_mm_876 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 2025-09-07T10:49:19.3576691Z triton_mm_877 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:19.3578220Z triton_mm_878 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 2025-09-07T10:49:19.3579248Z SingleProcess AUTOTUNE benchmarking takes 0.2156 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:49:19.8192547Z Autotune Choices Stats: 2025-09-07T10:49:19.8194050Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.010239999741315842, "best_triton_kernel": "triton_mm_898", "best_triton_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"} 2025-09-07T10:49:19.8257231Z AUTOTUNE mm(512x240, 240x480) 2025-09-07T10:49:19.8257581Z strides: [240, 1], [480, 1] 2025-09-07T10:49:19.8257888Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:19.8258216Z mm 0.0102 ms 100.0% 2025-09-07T10:49:19.8258940Z triton_mm_898 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 2025-09-07T10:49:19.8260160Z triton_mm_899 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 2025-09-07T10:49:19.8261709Z triton_mm_902 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 2025-09-07T10:49:19.8262928Z triton_mm_892 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 2025-09-07T10:49:19.8264118Z triton_mm_893 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 2025-09-07T10:49:19.8265356Z triton_mm_894 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 2025-09-07T10:49:19.8266559Z triton_mm_900 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 2025-09-07T10:49:19.8267744Z triton_mm_901 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 2025-09-07T10:49:19.8268934Z triton_mm_903 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 2025-09-07T10:49:19.8269965Z SingleProcess AUTOTUNE benchmarking takes 0.2456 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:49:20.3764905Z Autotune Choices Stats: 2025-09-07T10:49:20.3766432Z {"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_1019", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:49:20.3932514Z AUTOTUNE mm(720x512, 512x240) 2025-09-07T10:49:20.3932923Z strides: [1, 720], [240, 1] 2025-09-07T10:49:20.3933220Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:20.3933520Z mm 0.0113 ms 100.0% 2025-09-07T10:49:20.3934230Z triton_mm_1019 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 2025-09-07T10:49:20.3943022Z triton_mm_1020 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 2025-09-07T10:49:20.3944735Z triton_mm_1021 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 2025-09-07T10:49:20.3946112Z triton_mm_1025 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 2025-09-07T10:49:20.3947321Z triton_mm_1024 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 2025-09-07T10:49:20.3948521Z triton_mm_1018 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 2025-09-07T10:49:20.3949710Z triton_mm_1028 0.0133 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 2025-09-07T10:49:20.3950901Z triton_mm_1030 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=4, num_warps=8 2025-09-07T10:49:20.3952288Z triton_mm_1027 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:20.3953328Z SingleProcess AUTOTUNE benchmarking takes 0.2638 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:49:20.8884618Z Autotune Choices Stats: 2025-09-07T10:49:20.8886108Z {"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_912", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:49:20.9028480Z AUTOTUNE mm(240x512, 512x480) 2025-09-07T10:49:20.9028821Z strides: [1, 240], [480, 1] 2025-09-07T10:49:20.9029107Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:20.9029442Z mm 0.0113 ms 100.0% 2025-09-07T10:49:20.9030198Z triton_mm_912 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 2025-09-07T10:49:20.9031395Z triton_mm_913 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 2025-09-07T10:49:20.9032606Z triton_mm_917 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 2025-09-07T10:49:20.9033810Z triton_mm_910 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:49:20.9034990Z triton_mm_911 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:20.9036165Z triton_mm_916 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 2025-09-07T10:49:20.9037344Z triton_mm_920 0.0133 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 2025-09-07T10:49:20.9038537Z triton_mm_922 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=4, num_warps=8 2025-09-07T10:49:20.9040051Z triton_mm_919 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:20.9041087Z SingleProcess AUTOTUNE benchmarking takes 0.2619 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:49:21.3734963Z Autotune Choices Stats: 2025-09-07T10:49:21.3736192Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_949", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:49:21.3859229Z AUTOTUNE mm(480x512, 512x240) 2025-09-07T10:49:21.3859559Z strides: [1, 480], [240, 1] 2025-09-07T10:49:21.3859860Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:21.3860647Z triton_mm_949 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:21.3861436Z mm 0.0113 ms 90.9% 2025-09-07T10:49:21.3862111Z triton_mm_947 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 2025-09-07T10:49:21.3863637Z triton_mm_948 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 2025-09-07T10:49:21.3864924Z triton_mm_953 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:21.3866127Z triton_mm_946 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:49:21.3867314Z triton_mm_952 0.0133 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 2025-09-07T10:49:21.3868494Z triton_mm_956 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 2025-09-07T10:49:21.3869684Z triton_mm_958 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:21.3870853Z triton_mm_955 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:21.3871879Z SingleProcess AUTOTUNE benchmarking takes 0.2603 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:49:21.8196603Z Autotune Choices Stats: 2025-09-07T10:49:21.8198607Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1457", "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": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:49:21.8321186Z AUTOTUNE mm(576x2048, 2048x192) 2025-09-07T10:49:21.8321741Z strides: [1, 576], [192, 1] 2025-09-07T10:49:21.8322277Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:21.8323665Z triton_mm_1457 0.0174 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 2025-09-07T10:49:21.8325094Z mm 0.0184 ms 94.4% 2025-09-07T10:49:21.8326349Z triton_mm_1453 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:21.8329122Z triton_mm_1451 0.0215 ms 81.0% 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 2025-09-07T10:49:21.8331377Z triton_mm_1452 0.0215 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:21.8334051Z triton_mm_1456 0.0256 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:21.8336335Z triton_mm_1450 0.0266 ms 65.4% 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 2025-09-07T10:49:21.8338566Z triton_mm_1460 0.0287 ms 60.7% 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 2025-09-07T10:49:21.8340761Z triton_mm_1459 0.0328 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:21.8343034Z triton_mm_1462 0.0328 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:21.8345456Z SingleProcess AUTOTUNE benchmarking takes 0.3411 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:49:22.6375761Z Autotune Choices Stats: 2025-09-07T10:49:22.6378562Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_mm_1349", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:49:22.6504408Z AUTOTUNE mm(192x2048, 2048x384) 2025-09-07T10:49:22.6505119Z strides: [1, 192], [384, 1] 2025-09-07T10:49:22.6505667Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:22.6506222Z mm 0.0164 ms 100.0% 2025-09-07T10:49:22.6507576Z triton_mm_1349 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:22.6509999Z triton_mm_1345 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:22.6512357Z triton_mm_1343 0.0215 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:22.6514735Z triton_mm_1344 0.0215 ms 76.2% 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 2025-09-07T10:49:22.6517099Z triton_mm_1342 0.0256 ms 64.0% 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 2025-09-07T10:49:22.6519481Z triton_mm_1348 0.0256 ms 64.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:22.6521863Z triton_mm_1352 0.0287 ms 57.1% 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 2025-09-07T10:49:22.6524246Z triton_mm_1351 0.0328 ms 50.0% 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 2025-09-07T10:49:22.6526659Z triton_mm_1354 0.0328 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:22.6529144Z SingleProcess AUTOTUNE benchmarking takes 0.3924 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:23.3619743Z Autotune Choices Stats: 2025-09-07T10:49:23.3621956Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1385", "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": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:49:23.3815453Z AUTOTUNE mm(384x2048, 2048x192) 2025-09-07T10:49:23.3816022Z strides: [1, 384], [192, 1] 2025-09-07T10:49:23.3816537Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:23.3817884Z triton_mm_1385 0.0174 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 2025-09-07T10:49:23.3819130Z mm 0.0184 ms 94.4% 2025-09-07T10:49:23.3820223Z triton_mm_1381 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:23.3828194Z triton_mm_1379 0.0215 ms 81.0% 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 2025-09-07T10:49:23.3830683Z triton_mm_1380 0.0215 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:23.3832770Z triton_mm_1378 0.0256 ms 68.0% 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 2025-09-07T10:49:23.3834826Z triton_mm_1384 0.0256 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:23.3837030Z triton_mm_1388 0.0287 ms 60.7% 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 2025-09-07T10:49:23.3839209Z triton_mm_1387 0.0328 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:23.3841358Z triton_mm_1390 0.0328 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:23.3843233Z SingleProcess AUTOTUNE benchmarking takes 0.3883 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:24.0979665Z Autotune Choices Stats: 2025-09-07T10:49:24.0982585Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.027648000046610832, "best_triton_pos": 1, "best_triton_time": 0.0655359998345375, "best_triton_kernel": "triton_mm_2027", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:49:24.1050553Z AUTOTUNE mm(432x8192, 8192x144) 2025-09-07T10:49:24.1051196Z strides: [1, 432], [144, 1] 2025-09-07T10:49:24.1051820Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:24.1052438Z mm 0.0276 ms 100.0% 2025-09-07T10:49:24.1054185Z triton_mm_2027 0.0655 ms 42.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:24.1056557Z triton_mm_2028 0.0676 ms 40.9% 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 2025-09-07T10:49:24.1058925Z triton_mm_2029 0.0676 ms 40.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:24.1061875Z triton_mm_2033 0.0676 ms 40.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:24.1064261Z triton_mm_2026 0.0819 ms 33.8% 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 2025-09-07T10:49:24.1066749Z triton_mm_2032 0.0819 ms 33.8% 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 2025-09-07T10:49:24.1069108Z triton_mm_2036 0.0993 ms 27.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:24.1071501Z triton_mm_2038 0.1075 ms 25.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:24.1073886Z triton_mm_2035 0.1167 ms 23.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:24.1076267Z SingleProcess AUTOTUNE benchmarking takes 0.5172 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:49:24.6675133Z Autotune Choices Stats: 2025-09-07T10:49:24.6677482Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_985", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:49:24.6806476Z AUTOTUNE mm(240x512, 512x240) 2025-09-07T10:49:24.6807106Z strides: [1, 240], [240, 1] 2025-09-07T10:49:24.6807628Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:24.6809097Z triton_mm_985 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:24.6810519Z mm 0.0113 ms 90.9% 2025-09-07T10:49:24.6811897Z triton_mm_982 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:49:24.6814630Z triton_mm_983 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 2025-09-07T10:49:24.6816935Z triton_mm_984 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 2025-09-07T10:49:24.6819197Z triton_mm_989 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:24.6821499Z triton_mm_988 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 2025-09-07T10:49:24.6823771Z triton_mm_992 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:24.6826200Z triton_mm_994 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:24.6828491Z triton_mm_990 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:24.6831030Z SingleProcess AUTOTUNE benchmarking takes 0.3399 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:49:25.6000267Z Autotune Choices Stats: 2025-09-07T10:49:25.6003010Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.06451199948787689, "best_triton_kernel": "triton_mm_1919", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:49:25.6133938Z AUTOTUNE mm(144x8192, 8192x288) 2025-09-07T10:49:25.6134535Z strides: [1, 144], [288, 1] 2025-09-07T10:49:25.6135051Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:25.6135606Z mm 0.0236 ms 100.0% 2025-09-07T10:49:25.6136847Z triton_mm_1919 0.0645 ms 36.5% 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 2025-09-07T10:49:25.6139025Z triton_mm_1920 0.0645 ms 36.5% 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 2025-09-07T10:49:25.6141162Z triton_mm_1925 0.0645 ms 36.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:25.6143748Z triton_mm_1921 0.0655 ms 35.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:25.6146002Z triton_mm_1918 0.0799 ms 29.5% 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 2025-09-07T10:49:25.6148157Z triton_mm_1924 0.0799 ms 29.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:25.6150280Z triton_mm_1928 0.0963 ms 24.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:25.6152301Z triton_mm_1930 0.1044 ms 22.5% 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 2025-09-07T10:49:25.6154439Z triton_mm_1927 0.1137 ms 20.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:25.6156262Z SingleProcess AUTOTUNE benchmarking takes 0.5640 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:49:26.4252656Z Autotune Choices Stats: 2025-09-07T10:49:26.4255594Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.06348799914121628, "best_triton_kernel": "triton_mm_1955", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:49:26.4330969Z AUTOTUNE mm(288x8192, 8192x144) 2025-09-07T10:49:26.4331572Z strides: [1, 288], [144, 1] 2025-09-07T10:49:26.4332098Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:26.4332678Z mm 0.0246 ms 100.0% 2025-09-07T10:49:26.4334109Z triton_mm_1955 0.0635 ms 38.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:26.4336217Z triton_mm_1957 0.0645 ms 38.1% 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 2025-09-07T10:49:26.4338271Z triton_mm_1961 0.0645 ms 38.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:26.4340884Z triton_mm_1956 0.0655 ms 37.5% 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 2025-09-07T10:49:26.4343249Z triton_mm_1954 0.0799 ms 30.8% 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 2025-09-07T10:49:26.4345444Z triton_mm_1960 0.0799 ms 30.8% 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 2025-09-07T10:49:26.4347577Z triton_mm_1964 0.0963 ms 25.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:26.4349826Z triton_mm_1966 0.1014 ms 24.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:26.4352150Z triton_mm_1963 0.1126 ms 21.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:26.4354164Z SingleProcess AUTOTUNE benchmarking takes 0.5406 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:49:26.8740688Z Autotune Choices Stats: 2025-09-07T10:49:26.8743533Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_mm_1421", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:49:26.8872420Z AUTOTUNE mm(192x2048, 2048x192) 2025-09-07T10:49:26.8873106Z strides: [1, 192], [192, 1] 2025-09-07T10:49:26.8873651Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:26.8874233Z mm 0.0143 ms 100.0% 2025-09-07T10:49:26.8875514Z triton_mm_1421 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 2025-09-07T10:49:26.8877806Z triton_mm_1417 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:26.8880166Z triton_mm_1415 0.0215 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:26.8882523Z triton_mm_1416 0.0215 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:26.8884908Z triton_mm_1414 0.0246 ms 58.3% 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 2025-09-07T10:49:26.8887242Z triton_mm_1420 0.0246 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:26.8889569Z triton_mm_1424 0.0287 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:26.8891718Z triton_mm_1423 0.0328 ms 43.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:26.8894451Z triton_mm_1426 0.0328 ms 43.8% 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 2025-09-07T10:49:26.8896940Z SingleProcess AUTOTUNE benchmarking takes 0.3716 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:49:29.0018269Z Autotune Choices Stats: 2025-09-07T10:49:29.0021009Z {"num_choices": 24, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.021503999829292297, "best_triton_pos": 6, "best_triton_time": 0.06348799914121628, "best_triton_kernel": "triton_mm_1991", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:49:29.0167420Z AUTOTUNE mm(144x8192, 8192x144) 2025-09-07T10:49:29.0167897Z strides: [1, 144], [144, 1] 2025-09-07T10:49:29.0168313Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:29.0168708Z mm 0.0215 ms 100.0% 2025-09-07T10:49:29.0169120Z decompose_k_mm_4_split_1 0.0225 ms 95.5% k_split=4 2025-09-07T10:49:29.0169687Z decompose_k_mm_2_split_0 0.0276 ms 77.8% k_split=2 2025-09-07T10:49:29.0170259Z decompose_k_mm_16_split_3 0.0358 ms 60.0% k_split=16 2025-09-07T10:49:29.0170799Z decompose_k_mm_8_split_2 0.0369 ms 58.3% k_split=8 2025-09-07T10:49:29.0171329Z decompose_k_mm_32_split_4 0.0399 ms 53.8% k_split=32 2025-09-07T10:49:29.0172446Z triton_mm_1991 0.0635 ms 33.9% 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 2025-09-07T10:49:29.0175047Z triton_mm_1992 0.0645 ms 33.3% 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 2025-09-07T10:49:29.0176731Z triton_mm_1997 0.0655 ms 32.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:29.0178366Z triton_mm_1993 0.0686 ms 31.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:29.0179810Z SingleProcess AUTOTUNE benchmarking takes 1.7514 seconds and 0.0004 seconds precompiling for 24 choices 2025-09-07T10:49:30.1015155Z Autotune Choices Stats: 2025-09-07T10:49:30.1017296Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_862", "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} 2025-09-07T10:49:30.1148535Z AUTOTUNE mm(8x1000, 1000x640) 2025-09-07T10:49:30.1149098Z strides: [1000, 1], [640, 1] 2025-09-07T10:49:30.1149573Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:30.1150903Z triton_mm_862 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 2025-09-07T10:49:30.1152996Z triton_mm_866 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 2025-09-07T10:49:30.1154900Z triton_mm_870 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 2025-09-07T10:49:30.1156109Z mm 0.0133 ms 76.9% 2025-09-07T10:49:30.1157441Z triton_mm_860 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 2025-09-07T10:49:30.1159760Z triton_mm_861 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 2025-09-07T10:49:30.1162098Z triton_mm_874 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 2025-09-07T10:49:30.1164942Z triton_mm_865 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 2025-09-07T10:49:30.1167280Z triton_mm_869 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:30.1169629Z triton_mm_859 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 2025-09-07T10:49:30.1171647Z SingleProcess AUTOTUNE benchmarking takes 0.3172 seconds and 0.0004 seconds precompiling for 18 choices 2025-09-07T10:49:30.4431643Z Autotune Choices Stats: 2025-09-07T10:49:30.4433758Z {"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_929", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-07T10:49:30.4546278Z AUTOTUNE mm(512x480, 480x240) 2025-09-07T10:49:30.4546824Z strides: [480, 1], [240, 1] 2025-09-07T10:49:30.4547304Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:30.4548159Z mm 0.0113 ms 100.0% 2025-09-07T10:49:30.4549109Z triton_mm_929 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 2025-09-07T10:49:30.4550824Z triton_mm_930 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 2025-09-07T10:49:30.4552692Z triton_mm_931 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 2025-09-07T10:49:30.4554524Z triton_mm_935 0.0113 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 2025-09-07T10:49:30.4556396Z triton_mm_928 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 2025-09-07T10:49:30.4557694Z triton_mm_934 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 2025-09-07T10:49:30.4558891Z triton_mm_938 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 2025-09-07T10:49:30.4560078Z triton_mm_940 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=4, num_warps=8 2025-09-07T10:49:30.4561277Z triton_mm_937 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:30.4562306Z SingleProcess AUTOTUNE benchmarking takes 0.3384 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:30.7859685Z Autotune Choices Stats: 2025-09-07T10:49:30.7862038Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_967", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:49:30.7999279Z AUTOTUNE mm(512x240, 240x240) 2025-09-07T10:49:30.7999884Z strides: [240, 1], [240, 1] 2025-09-07T10:49:30.8000921Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:30.8002452Z triton_mm_967 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 2025-09-07T10:49:30.8004863Z triton_mm_964 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 2025-09-07T10:49:30.8007266Z triton_mm_965 0.0102 ms 90.0% 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 2025-09-07T10:49:30.8009611Z triton_mm_966 0.0102 ms 90.0% 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 2025-09-07T10:49:30.8011950Z triton_mm_970 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 2025-09-07T10:49:30.8014705Z triton_mm_971 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 2025-09-07T10:49:30.8016158Z mm 0.0113 ms 81.8% 2025-09-07T10:49:30.8017844Z triton_mm_972 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 2025-09-07T10:49:30.8020204Z triton_mm_973 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=4, num_warps=8 2025-09-07T10:49:30.8022542Z triton_mm_974 0.0113 ms 81.8% 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 2025-09-07T10:49:30.8024561Z SingleProcess AUTOTUNE benchmarking takes 0.3428 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:31.1328002Z Autotune Choices Stats: 2025-09-07T10:49:31.1330043Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1003", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:49:31.1465773Z AUTOTUNE mm(512x720, 720x240) 2025-09-07T10:49:31.1466379Z strides: [720, 1], [240, 1] 2025-09-07T10:49:31.1466918Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:31.1468391Z triton_mm_1003 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 2025-09-07T10:49:31.1469789Z mm 0.0123 ms 91.7% 2025-09-07T10:49:31.1471084Z triton_mm_1001 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 2025-09-07T10:49:31.1473396Z triton_mm_1007 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 2025-09-07T10:49:31.1475729Z triton_mm_1002 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:31.1477901Z triton_mm_1000 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 2025-09-07T10:49:31.1480231Z triton_mm_1006 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:31.1482516Z triton_mm_1009 0.0164 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:31.1485321Z triton_mm_1010 0.0164 ms 68.8% 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 2025-09-07T10:49:31.1487677Z triton_mm_1012 0.0174 ms 64.7% 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 2025-09-07T10:49:31.1489701Z SingleProcess AUTOTUNE benchmarking takes 0.3453 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:31.5035298Z Autotune Choices Stats: 2025-09-07T10:49:31.5037407Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1366", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:49:31.5175920Z AUTOTUNE mm(2048x384, 384x192) 2025-09-07T10:49:31.5176505Z strides: [384, 1], [192, 1] 2025-09-07T10:49:31.5177037Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:31.5178392Z triton_mm_1366 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:31.5181065Z triton_mm_1367 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 2025-09-07T10:49:31.5183316Z triton_mm_1369 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=4, num_warps=8 2025-09-07T10:49:31.5185796Z triton_mm_1370 0.0123 ms 91.7% 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 2025-09-07T10:49:31.5188038Z triton_mm_1360 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 2025-09-07T10:49:31.5190172Z triton_mm_1361 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 2025-09-07T10:49:31.5192546Z triton_mm_1362 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 2025-09-07T10:49:31.5194739Z triton_mm_1372 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=4, num_warps=8 2025-09-07T10:49:31.5196195Z mm 0.0143 ms 78.6% 2025-09-07T10:49:31.5197365Z triton_mm_1363 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:49:31.5199307Z SingleProcess AUTOTUNE benchmarking takes 0.3456 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:31.8303146Z Autotune Choices Stats: 2025-09-07T10:49:31.8305506Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1402", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:49:31.8447479Z AUTOTUNE mm(2048x192, 192x192) 2025-09-07T10:49:31.8448100Z strides: [192, 1], [192, 1] 2025-09-07T10:49:31.8448570Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:31.8449934Z triton_mm_1402 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 2025-09-07T10:49:31.8452330Z triton_mm_1397 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 2025-09-07T10:49:31.8454674Z triton_mm_1398 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 2025-09-07T10:49:31.8456780Z triton_mm_1403 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 2025-09-07T10:49:31.8458594Z triton_mm_1405 0.0102 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 2025-09-07T10:49:31.8460562Z triton_mm_1406 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:31.8462530Z triton_mm_1408 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:31.8463652Z mm 0.0113 ms 81.8% 2025-09-07T10:49:31.8465124Z triton_mm_1396 0.0113 ms 81.8% 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 2025-09-07T10:49:31.8466497Z triton_mm_1404 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:31.8467770Z SingleProcess AUTOTUNE benchmarking takes 0.3260 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:32.1677374Z Autotune Choices Stats: 2025-09-07T10:49:32.1678591Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1438", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:49:32.1825146Z AUTOTUNE mm(2048x576, 576x192) 2025-09-07T10:49:32.1825760Z strides: [576, 1], [192, 1] 2025-09-07T10:49:32.1826289Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:32.1827759Z triton_mm_1438 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 2025-09-07T10:49:32.1830076Z triton_mm_1439 0.0133 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 2025-09-07T10:49:32.1832418Z triton_mm_1442 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 2025-09-07T10:49:32.1834741Z triton_mm_1433 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:32.1837030Z triton_mm_1434 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:49:32.1839333Z triton_mm_1441 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:32.1841560Z triton_mm_1444 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:49:32.1843005Z mm 0.0164 ms 81.2% 2025-09-07T10:49:32.1844330Z triton_mm_1435 0.0164 ms 81.2% 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 2025-09-07T10:49:32.1847059Z triton_mm_1432 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 2025-09-07T10:49:32.1849056Z SingleProcess AUTOTUNE benchmarking takes 0.3366 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:32.5424225Z Autotune Choices Stats: 2025-09-07T10:49:32.5426381Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1947", "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} 2025-09-07T10:49:32.5568556Z AUTOTUNE mm(8192x288, 288x144) 2025-09-07T10:49:32.5569167Z strides: [288, 1], [144, 1] 2025-09-07T10:49:32.5569695Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:32.5571109Z triton_mm_1947 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 2025-09-07T10:49:32.5573678Z triton_mm_1948 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 2025-09-07T10:49:32.5575478Z mm 0.0195 ms 84.2% 2025-09-07T10:49:32.5576681Z triton_mm_1950 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:32.5578609Z triton_mm_1941 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 2025-09-07T10:49:32.5580712Z triton_mm_1944 0.0205 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:32.5582869Z triton_mm_1938 0.0215 ms 76.2% 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 2025-09-07T10:49:32.5585119Z triton_mm_1942 0.0215 ms 76.2% 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 2025-09-07T10:49:32.5587251Z triton_mm_1946 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 2025-09-07T10:49:32.5589408Z triton_mm_1951 0.0215 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:32.5591310Z SingleProcess AUTOTUNE benchmarking takes 0.3392 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:32.8848539Z Autotune Choices Stats: 2025-09-07T10:49:32.8850817Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1983", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:49:32.8992820Z AUTOTUNE mm(8192x144, 144x144) 2025-09-07T10:49:32.8993421Z strides: [144, 1], [144, 1] 2025-09-07T10:49:32.8993962Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:32.8995427Z triton_mm_1983 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 2025-09-07T10:49:32.8997597Z triton_mm_1984 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 2025-09-07T10:49:32.9000053Z triton_mm_1977 0.0154 ms 86.7% 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 2025-09-07T10:49:32.9001951Z triton_mm_1986 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 2025-09-07T10:49:32.9003131Z mm 0.0164 ms 81.2% 2025-09-07T10:49:32.9004267Z triton_mm_1971 0.0164 ms 81.2% 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 2025-09-07T10:49:32.9006052Z triton_mm_1974 0.0164 ms 81.2% 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 2025-09-07T10:49:32.9007758Z triton_mm_1976 0.0164 ms 81.2% 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 2025-09-07T10:49:32.9008990Z triton_mm_1980 0.0164 ms 81.2% 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 2025-09-07T10:49:32.9010460Z triton_mm_1978 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:49:32.9011508Z SingleProcess AUTOTUNE benchmarking takes 0.3394 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:49:33.2424587Z Autotune Choices Stats: 2025-09-07T10:49:33.2426524Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2019", "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} 2025-09-07T10:49:33.2571070Z AUTOTUNE mm(8192x432, 432x144) 2025-09-07T10:49:33.2571646Z strides: [432, 1], [144, 1] 2025-09-07T10:49:33.2572128Z dtypes: torch.float16, torch.float16 2025-09-07T10:49:33.2573983Z triton_mm_2019 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 2025-09-07T10:49:33.2576253Z triton_mm_2020 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=4, num_warps=8 2025-09-07T10:49:33.2577664Z mm 0.0236 ms 91.3% 2025-09-07T10:49:33.2578762Z triton_mm_2022 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:33.2580686Z triton_mm_2014 0.0256 ms 84.0% 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 2025-09-07T10:49:33.2582755Z triton_mm_2013 0.0266 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:49:33.2584946Z triton_mm_2016 0.0266 ms 80.8% 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 2025-09-07T10:49:33.2586974Z triton_mm_2023 0.0266 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:49:33.2588997Z triton_mm_2010 0.0276 ms 77.8% 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 2025-09-07T10:49:33.2591503Z triton_mm_2018 0.0276 ms 77.8% 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 2025-09-07T10:49:33.2593426Z SingleProcess AUTOTUNE benchmarking takes 0.3549 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:50:00.2914287Z W0907 10:50:00.290000 77558 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T10:50:41.1346295Z pass 2025-09-07T10:50:48.6513777Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:50:48.6515179Z import pynvml # type: ignore[import] 2025-09-07T10:50:52.2125984Z 2025-09-07T10:50:53.7498521Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:50:53.7498914Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:50:53.7499241Z cuda train nfnet_l0 2025-09-07T10:51:19.9643500Z Autotune Choices Stats: 2025-09-07T10:51:19.9647825Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_12", "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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.058368001133203506, "best_triton_pos": 0} 2025-09-07T10:51:19.9731648Z AUTOTUNE convolution(8x32x112x112, 64x32x3x3) 2025-09-07T10:51:19.9732379Z strides: [401408, 12544, 112, 1], [288, 9, 3, 1] 2025-09-07T10:51:19.9733176Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:19.9734910Z triton_convolution2d_12 0.0584 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:51:19.9737889Z triton_convolution2d_17 0.0645 ms 90.5% 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 2025-09-07T10:51:19.9740744Z triton_convolution2d_14 0.0676 ms 86.4% 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 2025-09-07T10:51:19.9743614Z triton_convolution2d_15 0.0676 ms 86.4% 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 2025-09-07T10:51:19.9745430Z convolution 0.0686 ms 85.1% 2025-09-07T10:51:19.9746985Z triton_convolution2d_11 0.0686 ms 85.1% 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 2025-09-07T10:51:19.9749669Z triton_convolution2d_16 0.0778 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=8 2025-09-07T10:51:19.9752576Z triton_convolution2d_13 0.1700 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=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:51:19.9754864Z SingleProcess AUTOTUNE benchmarking takes 0.1940 seconds and 0.0004 seconds precompiling for 8 choices 2025-09-07T10:51:20.5546282Z Autotune Choices Stats: 2025-09-07T10:51:20.5547669Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_28", "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} 2025-09-07T10:51:20.5690609Z AUTOTUNE convolution(8x128x56x56, 256x128x1x1) 2025-09-07T10:51:20.5691363Z strides: [401408, 3136, 56, 1], [128, 1, 1, 1] 2025-09-07T10:51:20.5692009Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:20.5693972Z triton_convolution2d_28 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 2025-09-07T10:51:20.5696737Z triton_convolution2d_31 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 2025-09-07T10:51:20.5699457Z triton_convolution2d_29 0.0287 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 2025-09-07T10:51:20.5702194Z triton_convolution2d_30 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 2025-09-07T10:51:20.5705480Z triton_convolution2d_26 0.0369 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:51:20.5708237Z triton_convolution2d_25 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:51:20.5709901Z convolution 0.0512 ms 52.0% 2025-09-07T10:51:20.5711514Z triton_convolution2d_27 0.0584 ms 45.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:51:20.5713213Z conv1x1_via_mm 0.1413 ms 18.8% 2025-09-07T10:51:20.5714298Z SingleProcess AUTOTUNE benchmarking takes 0.2021 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:51:21.3529431Z Autotune Choices Stats: 2025-09-07T10:51:21.3531977Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_10", "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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.027648000046610832, "best_triton_pos": 0} 2025-09-07T10:51:21.3656056Z AUTOTUNE convolution(8x16x112x112, 32x16x3x3) 2025-09-07T10:51:21.3656804Z strides: [200704, 12544, 112, 1], [144, 9, 3, 1] 2025-09-07T10:51:21.3657448Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:21.3659166Z triton_convolution2d_10 0.0276 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:51:21.3662124Z triton_convolution2d_6 0.0297 ms 93.1% 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 2025-09-07T10:51:21.3665182Z triton_convolution2d_9 0.0338 ms 81.8% 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=8 2025-09-07T10:51:21.3668107Z triton_convolution2d_5 0.0348 ms 79.4% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:51:21.3670864Z triton_convolution2d_8 0.0369 ms 75.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:51:21.3674301Z triton_convolution2d_7 0.0522 ms 52.9% 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 2025-09-07T10:51:21.3676067Z convolution 0.0768 ms 36.0% 2025-09-07T10:51:21.3677075Z SingleProcess AUTOTUNE benchmarking takes 0.1726 seconds and 0.0005 seconds precompiling for 7 choices 2025-09-07T10:51:22.0739737Z Autotune Choices Stats: 2025-09-07T10:51:22.0742214Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_19", "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=4", "best_time": 0.0798719972372055, "best_triton_pos": 0} 2025-09-07T10:51:22.0888728Z AUTOTUNE convolution(8x64x112x112, 128x64x3x3) 2025-09-07T10:51:22.0889512Z strides: [802816, 12544, 112, 1], [576, 9, 3, 1] 2025-09-07T10:51:22.0890185Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:22.0891953Z triton_convolution2d_19 0.0799 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=4 2025-09-07T10:51:22.0895587Z triton_convolution2d_24 0.0799 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:51:22.0898673Z triton_convolution2d_21 0.0983 ms 81.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:51:22.0901476Z triton_convolution2d_22 0.1004 ms 79.6% 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 2025-09-07T10:51:22.0903114Z triton_convolution2d_18 0.1157 ms 69.0% 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 2025-09-07T10:51:22.0904427Z convolution 0.1229 ms 65.0% 2025-09-07T10:51:22.0906044Z triton_convolution2d_23 0.1352 ms 59.1% 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 2025-09-07T10:51:22.0908756Z triton_convolution2d_20 0.3379 ms 23.6% 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 2025-09-07T10:51:22.0910791Z SingleProcess AUTOTUNE benchmarking takes 0.2481 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:51:22.8286413Z Autotune Choices Stats: 2025-09-07T10:51:22.8288859Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_74", "best_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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T10:51:22.8436263Z AUTOTUNE convolution(8x256x28x28, 512x256x1x1) 2025-09-07T10:51:22.8436986Z strides: [200704, 784, 28, 1], [256, 1, 1, 1] 2025-09-07T10:51:22.8437636Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:22.8439346Z triton_convolution2d_74 0.0246 ms 100.0% 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 2025-09-07T10:51:22.8442001Z triton_convolution2d_70 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 2025-09-07T10:51:22.8444754Z triton_convolution2d_73 0.0276 ms 88.9% 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 2025-09-07T10:51:22.8447052Z triton_convolution2d_75 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 2025-09-07T10:51:22.8449579Z triton_convolution2d_69 0.0328 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 2025-09-07T10:51:22.8452171Z triton_convolution2d_72 0.0420 ms 58.5% 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 2025-09-07T10:51:22.8455224Z triton_convolution2d_71 0.0645 ms 38.1% 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 2025-09-07T10:51:22.8456990Z convolution 0.1014 ms 24.2% 2025-09-07T10:51:22.8457902Z conv1x1_via_mm 0.7219 ms 3.4% 2025-09-07T10:51:22.8458950Z SingleProcess AUTOTUNE benchmarking takes 0.2364 seconds and 0.0004 seconds precompiling for 9 choices 2025-09-07T10:51:23.4924607Z Autotune Choices Stats: 2025-09-07T10:51:23.4925982Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_79", "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} 2025-09-07T10:51:23.5005554Z AUTOTUNE convolution(8x256x56x56, 128x256x1x1) 2025-09-07T10:51:23.5005976Z strides: [802816, 3136, 56, 1], [256, 1, 1, 1] 2025-09-07T10:51:23.5006328Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:23.5007277Z triton_convolution2d_79 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 2025-09-07T10:51:23.5008804Z triton_convolution2d_82 0.0287 ms 92.9% 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 2025-09-07T10:51:23.5010314Z triton_convolution2d_77 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 2025-09-07T10:51:23.5011828Z triton_convolution2d_81 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 2025-09-07T10:51:23.5013764Z triton_convolution2d_80 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 2025-09-07T10:51:23.5015261Z triton_convolution2d_76 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 2025-09-07T10:51:23.5016761Z triton_convolution2d_78 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 2025-09-07T10:51:23.5018044Z convolution 0.0573 ms 46.4% 2025-09-07T10:51:23.5018338Z conv1x1_via_mm 0.1454 ms 18.3% 2025-09-07T10:51:23.5018918Z SingleProcess AUTOTUNE benchmarking takes 0.1740 seconds and 0.0004 seconds precompiling for 9 choices 2025-09-07T10:51:24.0097433Z Autotune Choices Stats: 2025-09-07T10:51:24.0098840Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_129", "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": 0.035840000957250595, "best_triton_pos": 0} 2025-09-07T10:51:24.0176482Z AUTOTUNE convolution(8x512x14x14, 1536x512x1x1) 2025-09-07T10:51:24.0176882Z strides: [100352, 196, 14, 1], [512, 1, 1, 1] 2025-09-07T10:51:24.0177248Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:24.0178186Z triton_convolution2d_129 0.0358 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 2025-09-07T10:51:24.0179138Z convolution 0.0410 ms 87.5% 2025-09-07T10:51:24.0180011Z triton_convolution2d_130 0.0430 ms 83.3% 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 2025-09-07T10:51:24.0181825Z triton_convolution2d_126 0.0451 ms 79.5% 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 2025-09-07T10:51:24.0183324Z triton_convolution2d_127 0.0451 ms 79.5% 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 2025-09-07T10:51:24.0184904Z triton_convolution2d_131 0.0512 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 2025-09-07T10:51:24.0186406Z triton_convolution2d_132 0.0584 ms 61.4% 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 2025-09-07T10:51:24.0187907Z triton_convolution2d_128 0.0963 ms 37.2% 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 2025-09-07T10:51:24.0188828Z conv1x1_via_mm 0.1085 ms 33.0% 2025-09-07T10:51:24.0189401Z SingleProcess AUTOTUNE benchmarking takes 0.1871 seconds and 0.0007 seconds precompiling for 9 choices 2025-09-07T10:51:24.7414283Z Autotune Choices Stats: 2025-09-07T10:51:24.7416853Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_137", "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": 0.02969600073993206, "best_triton_pos": 0} 2025-09-07T10:51:24.7493537Z AUTOTUNE convolution(8x512x28x28, 384x512x1x1) 2025-09-07T10:51:24.7494272Z strides: [401408, 784, 28, 1], [512, 1, 1, 1] 2025-09-07T10:51:24.7494904Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:24.7496708Z triton_convolution2d_137 0.0297 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 2025-09-07T10:51:24.7499611Z triton_convolution2d_136 0.0338 ms 87.9% 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 2025-09-07T10:51:24.7502564Z triton_convolution2d_138 0.0358 ms 82.9% 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 2025-09-07T10:51:24.7506063Z triton_convolution2d_139 0.0358 ms 82.9% 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 2025-09-07T10:51:24.7508992Z triton_convolution2d_134 0.0420 ms 70.7% 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 2025-09-07T10:51:24.7511960Z triton_convolution2d_133 0.0440 ms 67.4% 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 2025-09-07T10:51:24.7514948Z triton_convolution2d_135 0.0932 ms 31.9% 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 2025-09-07T10:51:24.7516705Z convolution 0.1147 ms 25.9% 2025-09-07T10:51:24.7517213Z conv1x1_via_mm 0.4741 ms 6.3% 2025-09-07T10:51:24.7518294Z SingleProcess AUTOTUNE benchmarking takes 0.2065 seconds and 0.0005 seconds precompiling for 9 choices 2025-09-07T10:51:25.1598112Z Autotune Choices Stats: 2025-09-07T10:51:25.1599863Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_convolution2d_1", "best_kernel_desc": "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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.01945599913597107, "best_triton_pos": 0} 2025-09-07T10:51:25.1674628Z AUTOTUNE convolution(8x3x224x224, 16x3x3x3) 2025-09-07T10:51:25.1675062Z strides: [150528, 50176, 224, 1], [27, 9, 3, 1] 2025-09-07T10:51:25.1675417Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:25.1676331Z triton_convolution2d_1 0.0195 ms 100.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:51:25.1677839Z triton_convolution2d_2 0.0215 ms 90.5% 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 2025-09-07T10:51:25.1679313Z triton_convolution2d_4 0.0215 ms 90.5% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:51:25.1680776Z triton_convolution2d_0 0.0246 ms 79.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:51:25.1682244Z triton_convolution2d_3 0.0246 ms 79.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:51:25.1683141Z convolution 0.0328 ms 59.4% 2025-09-07T10:51:25.1683687Z SingleProcess AUTOTUNE benchmarking takes 0.0937 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:51:25.6505348Z Autotune Choices Stats: 2025-09-07T10:51:25.6506720Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_35", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:51:25.6587325Z AUTOTUNE convolution(8x128x56x56, 64x128x1x1) 2025-09-07T10:51:25.6587719Z strides: [401408, 3136, 56, 1], [128, 1, 1, 1] 2025-09-07T10:51:25.6588422Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:25.6589356Z triton_convolution2d_35 0.0164 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 2025-09-07T10:51:25.6590874Z triton_convolution2d_36 0.0164 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 2025-09-07T10:51:25.6592368Z triton_convolution2d_37 0.0164 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 2025-09-07T10:51:25.6593856Z triton_convolution2d_32 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:51:25.6595357Z triton_convolution2d_38 0.0174 ms 94.1% 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 2025-09-07T10:51:25.6597050Z triton_convolution2d_33 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:51:25.6598567Z triton_convolution2d_34 0.0205 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 2025-09-07T10:51:25.6599508Z convolution 0.0225 ms 72.7% 2025-09-07T10:51:25.6599815Z conv1x1_via_mm 0.0799 ms 20.5% 2025-09-07T10:51:25.6600394Z SingleProcess AUTOTUNE benchmarking takes 0.1625 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:51:26.1427539Z Autotune Choices Stats: 2025-09-07T10:51:26.1428909Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_45", "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": 0.03481600061058998, "best_triton_pos": 0} 2025-09-07T10:51:26.1508932Z AUTOTUNE convolution(8x64x56x56, 64x64x3x3) 2025-09-07T10:51:26.1509341Z strides: [200704, 3136, 56, 1], [576, 9, 3, 1] 2025-09-07T10:51:26.1509697Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:26.1510614Z triton_convolution2d_45 0.0348 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 2025-09-07T10:51:26.1512112Z triton_convolution2d_42 0.0389 ms 89.5% 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 2025-09-07T10:51:26.1513042Z convolution 0.0399 ms 87.2% 2025-09-07T10:51:26.1513910Z triton_convolution2d_44 0.0451 ms 77.3% 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 2025-09-07T10:51:26.1515390Z triton_convolution2d_39 0.0461 ms 75.6% 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 2025-09-07T10:51:26.1516869Z triton_convolution2d_40 0.0461 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 2025-09-07T10:51:26.1518341Z triton_convolution2d_43 0.0461 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=4 2025-09-07T10:51:26.1520166Z triton_convolution2d_41 0.0932 ms 37.4% 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 2025-09-07T10:51:26.1521347Z SingleProcess AUTOTUNE benchmarking takes 0.1521 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:51:26.4690815Z Autotune Choices Stats: 2025-09-07T10:51:26.4692512Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_convolution2d_105", "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"} 2025-09-07T10:51:26.4770718Z AUTOTUNE convolution(8x512x28x28, 128x512x1x1) 2025-09-07T10:51:26.4771121Z strides: [401408, 784, 28, 1], [512, 1, 1, 1] 2025-09-07T10:51:26.4771486Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:26.4771818Z convolution 0.0195 ms 100.0% 2025-09-07T10:51:26.4773294Z triton_convolution2d_105 0.0256 ms 76.0% 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 2025-09-07T10:51:26.4774812Z triton_convolution2d_106 0.0266 ms 73.1% 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 2025-09-07T10:51:26.4776300Z triton_convolution2d_104 0.0317 ms 61.3% 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 2025-09-07T10:51:26.4777807Z triton_convolution2d_107 0.0328 ms 59.4% 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 2025-09-07T10:51:26.4779302Z triton_convolution2d_101 0.0369 ms 52.8% 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 2025-09-07T10:51:26.4780792Z triton_convolution2d_102 0.0410 ms 47.5% 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 2025-09-07T10:51:26.4782289Z triton_convolution2d_103 0.0553 ms 35.2% 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 2025-09-07T10:51:26.4783201Z conv1x1_via_mm 0.0809 ms 24.1% 2025-09-07T10:51:26.4783767Z SingleProcess AUTOTUNE benchmarking takes 0.1703 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:51:26.9806860Z Autotune Choices Stats: 2025-09-07T10:51:26.9808549Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03788800165057182, "best_triton_pos": 1, "best_triton_time": 0.05222399905323982, "best_triton_kernel": "triton_convolution2d_163", "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"} 2025-09-07T10:51:26.9887647Z AUTOTUNE convolution(8x1536x14x14, 384x1536x1x1) 2025-09-07T10:51:26.9888100Z strides: [301056, 196, 14, 1], [1536, 1, 1, 1] 2025-09-07T10:51:26.9888449Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:26.9888757Z convolution 0.0379 ms 100.0% 2025-09-07T10:51:26.9890030Z triton_convolution2d_163 0.0522 ms 72.5% 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 2025-09-07T10:51:26.9891525Z triton_convolution2d_164 0.0655 ms 57.8% 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 2025-09-07T10:51:26.9893267Z triton_convolution2d_162 0.0748 ms 50.7% 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 2025-09-07T10:51:26.9894772Z triton_convolution2d_165 0.0788 ms 48.1% 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 2025-09-07T10:51:26.9896263Z triton_convolution2d_159 0.0891 ms 42.5% 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 2025-09-07T10:51:26.9897754Z triton_convolution2d_160 0.1075 ms 35.2% 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 2025-09-07T10:51:26.9898823Z conv1x1_via_mm 0.1147 ms 33.0% 2025-09-07T10:51:26.9899727Z triton_convolution2d_161 0.1444 ms 26.2% 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 2025-09-07T10:51:26.9901076Z SingleProcess AUTOTUNE benchmarking takes 0.2104 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:51:27.5657183Z Autotune Choices Stats: 2025-09-07T10:51:27.5658864Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03379200026392937, "best_triton_pos": 1, "best_triton_time": 0.053247999399900436, "best_triton_kernel": "triton_convolution2d_293", "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"} 2025-09-07T10:51:27.5740467Z AUTOTUNE convolution(8x1536x7x7, 1536x1536x1x1) 2025-09-07T10:51:27.5740875Z strides: [75264, 49, 7, 1], [1536, 1, 1, 1] 2025-09-07T10:51:27.5741214Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:27.5741532Z convolution 0.0338 ms 100.0% 2025-09-07T10:51:27.5742415Z triton_convolution2d_293 0.0532 ms 63.5% 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 2025-09-07T10:51:27.5743903Z triton_convolution2d_294 0.0717 ms 47.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:51:27.5745506Z triton_convolution2d_292 0.0748 ms 45.2% 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 2025-09-07T10:51:27.5746998Z triton_convolution2d_295 0.0952 ms 35.5% 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 2025-09-07T10:51:27.5748489Z triton_convolution2d_289 0.1004 ms 33.7% 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 2025-09-07T10:51:27.5749399Z conv1x1_via_mm 0.1075 ms 31.4% 2025-09-07T10:51:27.5750292Z triton_convolution2d_290 0.1239 ms 27.3% 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 2025-09-07T10:51:27.5752071Z triton_convolution2d_291 0.1300 ms 26.0% 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 2025-09-07T10:51:27.5753254Z SingleProcess AUTOTUNE benchmarking takes 0.2138 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:51:28.1563538Z Autotune Choices Stats: 2025-09-07T10:51:28.1565237Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.025599999353289604, "best_triton_pos": 2, "best_triton_time": 0.05119999870657921, "best_triton_kernel": "triton_convolution2d_326", "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"} 2025-09-07T10:51:28.1643545Z AUTOTUNE convolution(8x1536x7x7, 384x1536x1x1) 2025-09-07T10:51:28.1643955Z strides: [75264, 49, 7, 1], [1536, 1, 1, 1] 2025-09-07T10:51:28.1644297Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:28.1644604Z convolution 0.0256 ms 100.0% 2025-09-07T10:51:28.1644905Z conv1x1_via_mm 0.0512 ms 50.0% 2025-09-07T10:51:28.1646138Z triton_convolution2d_326 0.0512 ms 50.0% 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 2025-09-07T10:51:28.1647632Z triton_convolution2d_327 0.0717 ms 35.7% 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 2025-09-07T10:51:28.1649128Z triton_convolution2d_325 0.0748 ms 34.2% 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 2025-09-07T10:51:28.1650633Z triton_convolution2d_328 0.0952 ms 26.9% 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 2025-09-07T10:51:28.1652126Z triton_convolution2d_322 0.0963 ms 26.6% 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 2025-09-07T10:51:28.1653868Z triton_convolution2d_323 0.1208 ms 21.2% 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 2025-09-07T10:51:28.1655357Z triton_convolution2d_324 0.1249 ms 20.5% 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 2025-09-07T10:51:28.1656544Z SingleProcess AUTOTUNE benchmarking takes 0.2154 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:51:28.6342500Z Autotune Choices Stats: 2025-09-07T10:51:28.6344257Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 2, "best_triton_time": 0.015359999611973763, "best_triton_kernel": "triton_convolution2d_157", "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"} 2025-09-07T10:51:28.6422690Z AUTOTUNE convolution(8x384x1x1, 1536x384x1x1) 2025-09-07T10:51:28.6423042Z strides: [384, 1, 1, 1], [384, 1, 1, 1] 2025-09-07T10:51:28.6423374Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:28.6423698Z convolution 0.0102 ms 100.0% 2025-09-07T10:51:28.6424322Z conv1x1_via_mm 0.0133 ms 76.9% 2025-09-07T10:51:28.6425267Z triton_convolution2d_157 0.0154 ms 66.7% 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 2025-09-07T10:51:28.6426774Z triton_convolution2d_156 0.0174 ms 58.8% 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 2025-09-07T10:51:28.6428264Z triton_convolution2d_155 0.0195 ms 52.6% 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 2025-09-07T10:51:28.6429761Z triton_convolution2d_158 0.0195 ms 52.6% 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 2025-09-07T10:51:28.6431249Z triton_convolution2d_154 0.0205 ms 50.0% 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 2025-09-07T10:51:28.6432896Z triton_convolution2d_153 0.0256 ms 40.0% 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 2025-09-07T10:51:28.6434078Z SingleProcess AUTOTUNE benchmarking takes 0.1451 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:51:29.1306356Z Autotune Choices Stats: 2025-09-07T10:51:29.1308059Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.009216000325977802, "best_triton_kernel": "triton_convolution2d_97", "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"} 2025-09-07T10:51:29.1385571Z AUTOTUNE convolution(8x128x1x1, 512x128x1x1) 2025-09-07T10:51:29.1385932Z strides: [128, 1, 1, 1], [128, 1, 1, 1] 2025-09-07T10:51:29.1386263Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:29.1386572Z convolution 0.0082 ms 100.0% 2025-09-07T10:51:29.1387468Z triton_convolution2d_97 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 2025-09-07T10:51:29.1388956Z triton_convolution2d_98 0.0092 ms 88.9% 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 2025-09-07T10:51:29.1390431Z triton_convolution2d_99 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 2025-09-07T10:51:29.1391898Z triton_convolution2d_96 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 2025-09-07T10:51:29.1393373Z triton_convolution2d_100 0.0102 ms 80.0% 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 2025-09-07T10:51:29.1394280Z conv1x1_via_mm 0.0123 ms 66.7% 2025-09-07T10:51:29.1395149Z triton_convolution2d_95 0.0123 ms 66.7% 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 2025-09-07T10:51:29.1396325Z SingleProcess AUTOTUNE benchmarking takes 0.1379 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:51:29.6076905Z Autotune Choices Stats: 2025-09-07T10:51:29.6079790Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.013311999849975109, "best_triton_pos": 2, "best_triton_time": 0.04198399931192398, "best_triton_kernel": "triton_convolution2d_151", "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"} 2025-09-07T10:51:29.6159962Z AUTOTUNE convolution(8x1536x1x1, 384x1536x1x1) 2025-09-07T10:51:29.6160693Z strides: [1536, 1, 1, 1], [1536, 1, 1, 1] 2025-09-07T10:51:29.6161306Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:29.6161885Z convolution 0.0133 ms 100.0% 2025-09-07T10:51:29.6162418Z conv1x1_via_mm 0.0174 ms 76.5% 2025-09-07T10:51:29.6164133Z triton_convolution2d_151 0.0420 ms 31.7% 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 2025-09-07T10:51:29.6167106Z triton_convolution2d_150 0.0481 ms 27.7% 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 2025-09-07T10:51:29.6170485Z triton_convolution2d_152 0.0573 ms 23.2% 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 2025-09-07T10:51:29.6173784Z triton_convolution2d_149 0.0614 ms 21.7% 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 2025-09-07T10:51:29.6176688Z triton_convolution2d_148 0.0655 ms 20.3% 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 2025-09-07T10:51:29.6179606Z triton_convolution2d_147 0.0840 ms 15.9% 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 2025-09-07T10:51:29.6181899Z SingleProcess AUTOTUNE benchmarking takes 0.1735 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:51:30.1125148Z Autotune Choices Stats: 2025-09-07T10:51:30.1126504Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_67", "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} 2025-09-07T10:51:30.1205461Z AUTOTUNE convolution(8x64x1x1, 256x64x1x1) 2025-09-07T10:51:30.1205860Z strides: [64, 1, 1, 1], [64, 1, 1, 1] 2025-09-07T10:51:30.1206209Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:30.1207123Z triton_convolution2d_67 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 2025-09-07T10:51:30.1208044Z convolution 0.0082 ms 87.5% 2025-09-07T10:51:30.1208923Z triton_convolution2d_64 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 2025-09-07T10:51:30.1210384Z triton_convolution2d_65 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 2025-09-07T10:51:30.1211854Z triton_convolution2d_66 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 2025-09-07T10:51:30.1213956Z triton_convolution2d_68 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 2025-09-07T10:51:30.1215438Z triton_convolution2d_63 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 2025-09-07T10:51:30.1216343Z conv1x1_via_mm 0.0102 ms 70.0% 2025-09-07T10:51:30.1216914Z SingleProcess AUTOTUNE benchmarking takes 0.1406 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:51:30.5436989Z Autotune Choices Stats: 2025-09-07T10:51:30.5438701Z {"num_choices": 7, "num_triton_choices": 5, "best_kernel": "convolution", "best_time": 0.009216000325977802, "best_triton_pos": 2, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_convolution2d_94", "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"} 2025-09-07T10:51:30.5519208Z AUTOTUNE convolution(8x512x1x1, 128x512x1x1) 2025-09-07T10:51:30.5519629Z strides: [512, 1, 1, 1], [512, 1, 1, 1] 2025-09-07T10:51:30.5520304Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:30.5520632Z convolution 0.0092 ms 100.0% 2025-09-07T10:51:30.5520928Z conv1x1_via_mm 0.0123 ms 75.0% 2025-09-07T10:51:30.5521801Z triton_convolution2d_94 0.0174 ms 52.9% 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 2025-09-07T10:51:30.5523291Z triton_convolution2d_93 0.0195 ms 47.4% 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 2025-09-07T10:51:30.5524781Z triton_convolution2d_92 0.0205 ms 45.0% 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 2025-09-07T10:51:30.5526249Z triton_convolution2d_91 0.0215 ms 42.9% 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 2025-09-07T10:51:30.5527726Z triton_convolution2d_90 0.0236 ms 39.1% 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 2025-09-07T10:51:30.5528905Z SingleProcess AUTOTUNE benchmarking takes 0.1367 seconds and 0.0003 seconds precompiling for 7 choices 2025-09-07T10:51:31.0637803Z Autotune Choices Stats: 2025-09-07T10:51:31.0640084Z {"num_choices": 5, "num_triton_choices": 3, "best_kernel": "triton_convolution2d_60", "best_kernel_desc": "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", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:51:31.0770324Z AUTOTUNE convolution(8x256x1x1, 64x256x1x1) 2025-09-07T10:51:31.0771104Z strides: [256, 1, 1, 1], [256, 1, 1, 1] 2025-09-07T10:51:31.0771715Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:31.0773755Z triton_convolution2d_60 0.0133 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 2025-09-07T10:51:31.0776554Z triton_convolution2d_62 0.0236 ms 56.5% 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 2025-09-07T10:51:31.0779792Z triton_convolution2d_61 0.0276 ms 48.1% 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 2025-09-07T10:51:31.0781471Z convolution 0.0543 ms 24.5% 2025-09-07T10:51:31.0782014Z conv1x1_via_mm 0.3318 ms 4.0% 2025-09-07T10:51:31.0783077Z SingleProcess AUTOTUNE benchmarking takes 0.1468 seconds and 0.0004 seconds precompiling for 5 choices 2025-09-07T10:51:32.2829243Z Autotune Choices Stats: 2025-09-07T10:51:32.2830615Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_56", "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} 2025-09-07T10:51:32.2912592Z AUTOTUNE convolution(8x64x56x56, 256x64x1x1) 2025-09-07T10:51:32.2913002Z strides: [200704, 3136, 56, 1], [64, 1, 1, 1] 2025-09-07T10:51:32.2913353Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:32.2914288Z triton_convolution2d_56 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 2025-09-07T10:51:32.2916168Z triton_convolution2d_59 0.0215 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 2025-09-07T10:51:32.2917663Z triton_convolution2d_54 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 2025-09-07T10:51:32.2919124Z triton_convolution2d_57 0.0225 ms 95.5% 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 2025-09-07T10:51:32.2920616Z triton_convolution2d_58 0.0225 ms 95.5% 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 2025-09-07T10:51:32.2922091Z triton_convolution2d_53 0.0266 ms 80.8% 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 2025-09-07T10:51:32.2923571Z triton_convolution2d_55 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 2025-09-07T10:51:32.2924484Z convolution 0.0338 ms 63.6% 2025-09-07T10:51:32.2924779Z conv1x1_via_mm 0.1270 ms 16.9% 2025-09-07T10:51:32.2925342Z SingleProcess AUTOTUNE benchmarking takes 0.1594 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:51:32.4407579Z Autotune Choices Stats: 2025-09-07T10:51:32.4408936Z {"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": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:51:32.4489832Z AUTOTUNE convolution(8x128x28x28, 512x128x1x1) 2025-09-07T10:51:32.4490234Z strides: [100352, 784, 28, 1], [128, 1, 1, 1] 2025-09-07T10:51:32.4490577Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:32.4491486Z triton_convolution2d_86 0.0174 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 2025-09-07T10:51:32.4493534Z triton_convolution2d_88 0.0174 ms 100.0% 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 2025-09-07T10:51:32.4495036Z triton_convolution2d_89 0.0184 ms 94.4% 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 2025-09-07T10:51:32.4496520Z triton_convolution2d_84 0.0195 ms 89.5% 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 2025-09-07T10:51:32.4497998Z triton_convolution2d_87 0.0205 ms 85.0% 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 2025-09-07T10:51:32.4499469Z triton_convolution2d_83 0.0236 ms 73.9% 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 2025-09-07T10:51:32.4500371Z convolution 0.0317 ms 54.8% 2025-09-07T10:51:32.4501392Z triton_convolution2d_85 0.0379 ms 45.9% 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 2025-09-07T10:51:32.4502305Z conv1x1_via_mm 0.0788 ms 22.1% 2025-09-07T10:51:32.4502877Z SingleProcess AUTOTUNE benchmarking takes 0.1571 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:51:32.6183518Z Autotune Choices Stats: 2025-09-07T10:51:32.6184933Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_143", "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": 0.030719999223947525, "best_triton_pos": 0} 2025-09-07T10:51:32.6265848Z AUTOTUNE convolution(8x384x14x14, 1536x384x1x1) 2025-09-07T10:51:32.6266229Z strides: [75264, 196, 14, 1], [384, 1, 1, 1] 2025-09-07T10:51:32.6266554Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:32.6267498Z triton_convolution2d_143 0.0307 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 2025-09-07T10:51:32.6269002Z triton_convolution2d_140 0.0348 ms 88.2% 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 2025-09-07T10:51:32.6270489Z triton_convolution2d_144 0.0348 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 2025-09-07T10:51:32.6271397Z convolution 0.0358 ms 85.7% 2025-09-07T10:51:32.6272263Z triton_convolution2d_141 0.0369 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 2025-09-07T10:51:32.6273754Z triton_convolution2d_145 0.0420 ms 73.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:51:32.6275233Z triton_convolution2d_146 0.0471 ms 65.2% 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 2025-09-07T10:51:32.6276725Z triton_convolution2d_142 0.0748 ms 41.1% 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 2025-09-07T10:51:32.6277937Z conv1x1_via_mm 0.0973 ms 31.6% 2025-09-07T10:51:32.6285848Z SingleProcess AUTOTUNE benchmarking takes 0.1736 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:51:32.8131158Z Autotune Choices Stats: 2025-09-07T10:51:32.8132548Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_307", "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": 0.01945599913597107, "best_triton_pos": 0} 2025-09-07T10:51:32.8214686Z AUTOTUNE convolution(8x384x7x7, 1536x384x1x1) 2025-09-07T10:51:32.8215058Z strides: [18816, 49, 7, 1], [384, 1, 1, 1] 2025-09-07T10:51:32.8215394Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:32.8216293Z triton_convolution2d_307 0.0195 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 2025-09-07T10:51:32.8217225Z convolution 0.0225 ms 86.4% 2025-09-07T10:51:32.8218114Z triton_convolution2d_306 0.0256 ms 76.0% 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 2025-09-07T10:51:32.8219921Z triton_convolution2d_308 0.0256 ms 76.0% 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 2025-09-07T10:51:32.8221425Z triton_convolution2d_309 0.0307 ms 63.3% 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 2025-09-07T10:51:32.8222911Z triton_convolution2d_303 0.0317 ms 61.3% 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 2025-09-07T10:51:32.8224408Z triton_convolution2d_304 0.0379 ms 51.4% 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 2025-09-07T10:51:32.8225985Z triton_convolution2d_305 0.0389 ms 50.0% 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 2025-09-07T10:51:32.8226901Z conv1x1_via_mm 0.0604 ms 32.2% 2025-09-07T10:51:32.8227470Z SingleProcess AUTOTUNE benchmarking takes 0.1686 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:51:33.0434701Z Autotune Choices Stats: 2025-09-07T10:51:33.0436362Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.043007999658584595, "best_triton_pos": 1, "best_triton_time": 0.05734400078654289, "best_triton_kernel": "triton_convolution2d_378", "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"} 2025-09-07T10:51:33.0517066Z AUTOTUNE convolution(8x1536x7x7, 2304x1536x1x1) 2025-09-07T10:51:33.0517508Z strides: [75264, 49, 7, 1], [1536, 1, 1, 1] 2025-09-07T10:51:33.0517837Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:33.0518156Z convolution 0.0430 ms 100.0% 2025-09-07T10:51:33.0519051Z triton_convolution2d_378 0.0573 ms 75.0% 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 2025-09-07T10:51:33.0520537Z triton_convolution2d_379 0.0727 ms 59.2% 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:51:33.0522391Z triton_convolution2d_377 0.0758 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 2025-09-07T10:51:33.0523891Z triton_convolution2d_380 0.0993 ms 43.3% 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 2025-09-07T10:51:33.0525376Z triton_convolution2d_374 0.1004 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 2025-09-07T10:51:33.0526847Z triton_convolution2d_375 0.1321 ms 32.6% 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 2025-09-07T10:51:33.0527761Z conv1x1_via_mm 0.1475 ms 29.2% 2025-09-07T10:51:33.0528649Z triton_convolution2d_376 0.1710 ms 25.1% 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 2025-09-07T10:51:33.0529994Z SingleProcess AUTOTUNE benchmarking takes 0.2177 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:51:33.3679584Z Autotune Choices Stats: 2025-09-07T10:51:33.3681881Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_385", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:51:33.3766132Z AUTOTUNE addmm(8x1000, 8x2304, 2304x1000) 2025-09-07T10:51:33.3766569Z strides: [0, 1], [2304, 1], [1, 2304] 2025-09-07T10:51:33.3766919Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:51:33.3767759Z triton_mm_385 0.0143 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 2025-09-07T10:51:33.3768985Z triton_mm_389 0.0143 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 2025-09-07T10:51:33.3769749Z bias_addmm 0.0195 ms 73.7% 2025-09-07T10:51:33.3770475Z triton_mm_393 0.0195 ms 73.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:51:33.3771216Z addmm 0.0205 ms 70.0% 2025-09-07T10:51:33.3771918Z triton_mm_397 0.0205 ms 70.0% 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 2025-09-07T10:51:33.3773362Z triton_mm_384 0.0225 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:51:33.3774550Z triton_mm_383 0.0236 ms 60.9% 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 2025-09-07T10:51:33.3775726Z triton_mm_388 0.0236 ms 60.9% 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 2025-09-07T10:51:33.3776907Z triton_mm_382 0.0246 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:51:33.3777935Z SingleProcess AUTOTUNE benchmarking takes 0.3230 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:51:52.5262853Z Autotune Choices Stats: 2025-09-07T10:51:52.5264095Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_427", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:51:52.5347595Z AUTOTUNE mm(1000x8, 8x2304) 2025-09-07T10:51:52.5347931Z strides: [1, 1000], [2304, 1] 2025-09-07T10:51:52.5348226Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:52.5349004Z triton_mm_427 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 2025-09-07T10:51:52.5350219Z triton_mm_415 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 2025-09-07T10:51:52.5351425Z triton_mm_416 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=2, num_warps=4 2025-09-07T10:51:52.5352604Z triton_mm_417 0.0102 ms 90.0% 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 2025-09-07T10:51:52.5354161Z triton_mm_419 0.0102 ms 90.0% 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 2025-09-07T10:51:52.5355356Z triton_mm_420 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 2025-09-07T10:51:52.5356523Z triton_mm_421 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=3, num_warps=8 2025-09-07T10:51:52.5357718Z triton_mm_422 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=5, num_warps=4 2025-09-07T10:51:52.5358897Z triton_mm_423 0.0102 ms 90.0% 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 2025-09-07T10:51:52.5360084Z triton_mm_424 0.0102 ms 90.0% 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 2025-09-07T10:51:52.5361110Z SingleProcess AUTOTUNE benchmarking takes 0.2232 seconds and 0.0005 seconds precompiling for 17 choices 2025-09-07T10:51:53.2805832Z Autotune Choices Stats: 2025-09-07T10:51:53.2807084Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_406", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:51:53.2895982Z AUTOTUNE mm(8x1000, 1000x2304) 2025-09-07T10:51:53.2896342Z strides: [1000, 1], [2304, 1] 2025-09-07T10:51:53.2896650Z dtypes: torch.float16, torch.float16 2025-09-07T10:51:53.2897454Z triton_mm_406 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 2025-09-07T10:51:53.2898688Z triton_mm_410 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 2025-09-07T10:51:53.2899448Z mm 0.0143 ms 92.9% 2025-09-07T10:51:53.2900140Z triton_mm_400 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 2025-09-07T10:51:53.2907216Z triton_mm_402 0.0143 ms 92.9% 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 2025-09-07T10:51:53.2908418Z triton_mm_414 0.0143 ms 92.9% 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 2025-09-07T10:51:53.2909609Z triton_mm_401 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 2025-09-07T10:51:53.2910793Z triton_mm_405 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 2025-09-07T10:51:53.2911982Z triton_mm_409 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 2025-09-07T10:51:53.2913170Z triton_mm_412 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 2025-09-07T10:51:53.2914194Z SingleProcess AUTOTUNE benchmarking takes 0.2846 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:52:01.8241233Z W0907 10:52:01.823000 92932 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:52:42.8705686Z pass 2025-09-07T10:52:48.9401824Z /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. 2025-09-07T10:52:48.9403259Z import pynvml # type: ignore[import] 2025-09-07T10:52:52.3077026Z 2025-09-07T10:52:53.8065107Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:52:53.8065484Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:52:53.8065824Z cuda train pit_b_224 2025-09-07T10:53:17.9032998Z Autotune Choices Stats: 2025-09-07T10:53:17.9034587Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_52", "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": 0.03686400130391121, "best_triton_pos": 0} 2025-09-07T10:53:17.9132111Z AUTOTUNE addmm(7696x1024, 7696x256, 256x1024) 2025-09-07T10:53:17.9132736Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:53:17.9376424Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:17.9377305Z triton_mm_52 0.0369 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 2025-09-07T10:53:17.9378549Z triton_mm_59 0.0369 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 2025-09-07T10:53:17.9379317Z bias_addmm 0.0379 ms 97.3% 2025-09-07T10:53:17.9380035Z triton_mm_58 0.0379 ms 97.3% 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 2025-09-07T10:53:17.9381215Z triton_mm_55 0.0389 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:17.9382390Z triton_mm_53 0.0410 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 2025-09-07T10:53:17.9383568Z triton_mm_54 0.0420 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:17.9385173Z triton_mm_56 0.0430 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 2025-09-07T10:53:17.9386357Z triton_mm_60 0.0461 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:17.9387519Z triton_mm_49 0.0471 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:53:17.9388539Z SingleProcess AUTOTUNE benchmarking takes 0.4129 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:53:18.7057951Z Autotune Choices Stats: 2025-09-07T10:53:18.7059194Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_285", "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": 0.03379200026392937, "best_triton_pos": 0} 2025-09-07T10:53:18.7149278Z AUTOTUNE addmm(2056x2048, 2056x512, 512x2048) 2025-09-07T10:53:18.7149687Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:53:18.7150192Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:18.7151557Z triton_mm_285 0.0338 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 2025-09-07T10:53:18.7152422Z bias_addmm 0.0348 ms 97.1% 2025-09-07T10:53:18.7153226Z triton_mm_292 0.0348 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:18.7154488Z triton_mm_291 0.0358 ms 94.3% 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 2025-09-07T10:53:18.7155793Z triton_mm_288 0.0369 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:18.7157071Z triton_mm_286 0.0379 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:18.7158340Z triton_mm_287 0.0389 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:18.7159604Z triton_mm_293 0.0399 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:18.7160860Z triton_mm_282 0.0430 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:53:18.7162120Z triton_mm_289 0.0440 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:18.7163227Z SingleProcess AUTOTUNE benchmarking takes 0.4127 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:53:19.5813505Z Autotune Choices Stats: 2025-09-07T10:53:19.5816112Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_736", "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": 0.03481600061058998, "best_triton_pos": 0} 2025-09-07T10:53:19.5904503Z AUTOTUNE addmm(520x4096, 520x1024, 1024x4096) 2025-09-07T10:53:19.5905304Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:53:19.5906241Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:19.5907562Z triton_mm_736 0.0348 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 2025-09-07T10:53:19.5908831Z triton_mm_737 0.0369 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 2025-09-07T10:53:19.5910033Z triton_mm_734 0.0379 ms 91.9% 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 2025-09-07T10:53:19.5911224Z triton_mm_741 0.0399 ms 87.2% 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 2025-09-07T10:53:19.5911983Z bias_addmm 0.0410 ms 85.0% 2025-09-07T10:53:19.5912281Z addmm 0.0410 ms 85.0% 2025-09-07T10:53:19.5912991Z triton_mm_735 0.0410 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 2025-09-07T10:53:19.5914206Z triton_mm_740 0.0430 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:19.5915742Z triton_mm_738 0.0440 ms 79.1% 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 2025-09-07T10:53:19.5916975Z triton_mm_742 0.0451 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:19.5918033Z SingleProcess AUTOTUNE benchmarking takes 0.3945 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:53:20.3567668Z Autotune Choices Stats: 2025-09-07T10:53:20.3570396Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.035840000957250595, "best_triton_pos": 1, "best_triton_time": 0.04095999896526337, "best_triton_kernel": "triton_mm_665", "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"} 2025-09-07T10:53:20.3656568Z AUTOTUNE mm(2056x2048, 2048x512) 2025-09-07T10:53:20.3657167Z strides: [2048, 1], [1, 2048] 2025-09-07T10:53:20.3657667Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:20.3658198Z mm 0.0358 ms 100.0% 2025-09-07T10:53:20.3659529Z triton_mm_665 0.0410 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 2025-09-07T10:53:20.3661728Z triton_mm_670 0.0420 ms 85.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:20.3663868Z triton_mm_661 0.0440 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:20.3666178Z triton_mm_662 0.0451 ms 79.5% 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 2025-09-07T10:53:20.3668401Z triton_mm_671 0.0451 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:20.3670641Z triton_mm_666 0.0461 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 2025-09-07T10:53:20.3672879Z triton_mm_663 0.0481 ms 74.5% 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 2025-09-07T10:53:20.3675473Z triton_mm_669 0.0502 ms 71.4% 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 2025-09-07T10:53:20.3677668Z triton_mm_664 0.0512 ms 70.0% 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 2025-09-07T10:53:20.3679530Z SingleProcess AUTOTUNE benchmarking takes 0.3665 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:21.0787982Z Autotune Choices Stats: 2025-09-07T10:53:21.0790686Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.035840000957250595, "best_triton_pos": 1, "best_triton_time": 0.05119999870657921, "best_triton_kernel": "triton_mm_970", "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"} 2025-09-07T10:53:21.0875170Z AUTOTUNE mm(520x4096, 4096x1024) 2025-09-07T10:53:21.0875761Z strides: [4096, 1], [1, 4096] 2025-09-07T10:53:21.0876295Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:21.0876824Z mm 0.0358 ms 100.0% 2025-09-07T10:53:21.0878568Z triton_mm_970 0.0512 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:21.0880779Z triton_mm_967 0.0543 ms 66.0% 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 2025-09-07T10:53:21.0882959Z triton_mm_966 0.0573 ms 62.5% 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 2025-09-07T10:53:21.0885203Z triton_mm_969 0.0573 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 2025-09-07T10:53:21.0887445Z triton_mm_972 0.0584 ms 61.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:21.0889682Z triton_mm_975 0.0737 ms 48.6% 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 2025-09-07T10:53:21.0891920Z triton_mm_971 0.0778 ms 46.1% 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 2025-09-07T10:53:21.0894546Z triton_mm_968 0.0788 ms 45.5% 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 2025-09-07T10:53:21.0896717Z triton_mm_962 0.0799 ms 44.9% 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 2025-09-07T10:53:21.0898459Z SingleProcess AUTOTUNE benchmarking takes 0.4136 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:53:22.6357135Z Autotune Choices Stats: 2025-09-07T10:53:22.6359564Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_1", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=14, KERNEL_W=14, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.1812479943037033, "best_triton_pos": 0} 2025-09-07T10:53:22.6447688Z AUTOTUNE convolution(8x3x224x224, 256x3x14x14) 2025-09-07T10:53:22.6448428Z strides: [150528, 50176, 224, 1], [588, 196, 14, 1] 2025-09-07T10:53:22.6449006Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:22.6450599Z triton_convolution2d_1 0.1812 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=14, KERNEL_W=14, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:53:22.6454296Z triton_convolution2d_6 0.1833 ms 98.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=14, KERNEL_W=14, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:53:22.6457023Z triton_convolution2d_4 0.1864 ms 97.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=14, KERNEL_W=14, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:53:22.6459706Z triton_convolution2d_3 0.2191 ms 82.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=14, KERNEL_W=14, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:53:22.6461301Z convolution 0.2284 ms 79.4% 2025-09-07T10:53:22.6462876Z triton_convolution2d_0 0.2580 ms 70.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=14, KERNEL_W=14, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:53:22.6466119Z triton_convolution2d_5 0.3768 ms 48.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=14, KERNEL_W=14, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:53:22.6468859Z triton_convolution2d_2 0.3932 ms 46.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=14, KERNEL_W=14, PADDING_H=0, PADDING_W=0, STRIDE_H=7, STRIDE_W=7, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:53:22.6470856Z SingleProcess AUTOTUNE benchmarking takes 0.3017 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:53:23.0653022Z Autotune Choices Stats: 2025-09-07T10:53:23.0655596Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.03276799991726875, "best_triton_pos": 1, "best_triton_time": 0.03276799991726875, "best_triton_kernel": "triton_mm_19", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:53:23.0771996Z AUTOTUNE addmm(7696x768, 7696x256, 256x768) 2025-09-07T10:53:23.0772659Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:53:23.0773507Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:23.0774102Z bias_addmm 0.0328 ms 100.0% 2025-09-07T10:53:23.0775372Z triton_mm_19 0.0328 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 2025-09-07T10:53:23.0777620Z triton_mm_18 0.0338 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:23.0779840Z triton_mm_20 0.0338 ms 97.0% 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 2025-09-07T10:53:23.0782061Z triton_mm_23 0.0348 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:23.0784129Z triton_mm_22 0.0358 ms 91.4% 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 2025-09-07T10:53:23.0786375Z triton_mm_13 0.0369 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 2025-09-07T10:53:23.0788416Z triton_mm_24 0.0379 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:23.0801656Z triton_mm_14 0.0399 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:23.0803715Z triton_mm_16 0.0410 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=3, num_warps=4 2025-09-07T10:53:23.0805619Z SingleProcess AUTOTUNE benchmarking takes 0.4315 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:53:23.4959765Z Autotune Choices Stats: 2025-09-07T10:53:23.4960993Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_31", "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": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:53:23.5055025Z AUTOTUNE addmm(7696x256, 7696x256, 256x256) 2025-09-07T10:53:23.5055744Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:53:23.5056395Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:23.5057933Z triton_mm_31 0.0174 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 2025-09-07T10:53:23.5060583Z triton_mm_37 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 2025-09-07T10:53:23.5062690Z triton_mm_32 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:23.5064246Z triton_mm_38 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:23.5065906Z triton_mm_41 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:23.5067071Z bias_addmm 0.0205 ms 85.0% 2025-09-07T10:53:23.5068067Z triton_mm_40 0.0215 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:23.5069595Z triton_mm_42 0.0225 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:23.5071413Z triton_mm_30 0.0246 ms 70.8% 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 2025-09-07T10:53:23.5073200Z triton_mm_35 0.0246 ms 70.8% 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 2025-09-07T10:53:23.5074871Z SingleProcess AUTOTUNE benchmarking takes 0.4263 seconds and 0.0006 seconds precompiling for 20 choices 2025-09-07T10:53:23.8578252Z Autotune Choices Stats: 2025-09-07T10:53:23.8580440Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_72", "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": 0.03993599861860275, "best_triton_pos": 0} 2025-09-07T10:53:23.8677237Z AUTOTUNE mm(7696x1024, 1024x256) 2025-09-07T10:53:23.8677830Z strides: [1024, 1], [1, 1024] 2025-09-07T10:53:23.8678308Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:23.8679511Z triton_mm_72 0.0399 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 2025-09-07T10:53:23.8681947Z triton_mm_77 0.0399 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 2025-09-07T10:53:23.8684045Z triton_mm_68 0.0410 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:23.8686065Z triton_mm_70 0.0410 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:23.8688051Z triton_mm_73 0.0410 ms 97.5% 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 2025-09-07T10:53:23.8690045Z triton_mm_76 0.0430 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 2025-09-07T10:53:23.8692092Z triton_mm_78 0.0440 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:23.8694554Z triton_mm_71 0.0451 ms 88.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:23.8696819Z triton_mm_69 0.0461 ms 86.7% 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 2025-09-07T10:53:23.8698895Z triton_mm_74 0.0461 ms 86.7% 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 2025-09-07T10:53:23.8700606Z SingleProcess AUTOTUNE benchmarking takes 0.3614 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:53:24.1449816Z Autotune Choices Stats: 2025-09-07T10:53:24.1451952Z {"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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:53:24.1545247Z AUTOTUNE mm(7696x256, 256x256) 2025-09-07T10:53:24.1545803Z strides: [256, 1], [1, 256] 2025-09-07T10:53:24.1546346Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:24.1547641Z triton_mm_106 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 2025-09-07T10:53:24.1549672Z triton_mm_108 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:24.1551702Z triton_mm_109 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 2025-09-07T10:53:24.1553643Z triton_mm_103 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:53:24.1555816Z triton_mm_112 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 2025-09-07T10:53:24.1557133Z mm 0.0184 ms 88.9% 2025-09-07T10:53:24.1558325Z triton_mm_104 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:24.1560395Z triton_mm_107 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 2025-09-07T10:53:24.1562745Z triton_mm_110 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 2025-09-07T10:53:24.1564835Z triton_mm_113 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=3, num_warps=4 2025-09-07T10:53:24.1566694Z SingleProcess AUTOTUNE benchmarking takes 0.2828 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:24.5610105Z Autotune Choices Stats: 2025-09-07T10:53:24.5611319Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_226", "best_kernel_desc": "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", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:53:24.5783552Z AUTOTUNE addmm(8x512, 8x256, 256x512) 2025-09-07T10:53:24.5784219Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:53:24.5784916Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:24.5786455Z triton_mm_226 0.0082 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 2025-09-07T10:53:24.5789195Z triton_mm_227 0.0082 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 2025-09-07T10:53:24.5791520Z triton_mm_224 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:53:24.5793785Z triton_mm_225 0.0092 ms 88.9% 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 2025-09-07T10:53:24.5795959Z triton_mm_233 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:24.5798263Z triton_mm_234 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:24.5800183Z triton_mm_235 0.0092 ms 88.9% 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 2025-09-07T10:53:24.5802162Z triton_mm_237 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:53:24.5804375Z triton_mm_239 0.0092 ms 88.9% 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 2025-09-07T10:53:24.5806507Z triton_mm_231 0.0102 ms 80.0% 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 2025-09-07T10:53:24.5808540Z SingleProcess AUTOTUNE benchmarking takes 0.4044 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:53:25.0250200Z Autotune Choices Stats: 2025-09-07T10:53:25.0252276Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_252", "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": 0.02969600073993206, "best_triton_pos": 0} 2025-09-07T10:53:25.0361922Z AUTOTUNE addmm(2056x1536, 2056x512, 512x1536) 2025-09-07T10:53:25.0362587Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:53:25.0363046Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:25.0364531Z triton_mm_252 0.0297 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 2025-09-07T10:53:25.0367223Z triton_mm_255 0.0297 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 2025-09-07T10:53:25.0369424Z triton_mm_256 0.0297 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 2025-09-07T10:53:25.0371562Z triton_mm_257 0.0297 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 2025-09-07T10:53:25.0373828Z triton_mm_249 0.0307 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:25.0376009Z triton_mm_251 0.0328 ms 90.6% 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 2025-09-07T10:53:25.0378266Z triton_mm_253 0.0328 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:25.0380820Z triton_mm_247 0.0369 ms 80.6% 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 2025-09-07T10:53:25.0382768Z triton_mm_246 0.0399 ms 74.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:53:25.0384579Z triton_mm_250 0.0410 ms 72.5% 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 2025-09-07T10:53:25.0386478Z SingleProcess AUTOTUNE benchmarking takes 0.4567 seconds and 0.0005 seconds precompiling for 20 choices 2025-09-07T10:53:25.4581558Z Autotune Choices Stats: 2025-09-07T10:53:25.4584092Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_mm_269", "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"} 2025-09-07T10:53:25.4754268Z AUTOTUNE addmm(2056x512, 2056x512, 512x512) 2025-09-07T10:53:25.4754904Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:53:25.4755534Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:25.4756211Z bias_addmm 0.0164 ms 100.0% 2025-09-07T10:53:25.4757576Z triton_mm_269 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 2025-09-07T10:53:25.4759793Z triton_mm_265 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:25.4761969Z triton_mm_267 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=3, num_warps=4 2025-09-07T10:53:25.4763850Z triton_mm_270 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 2025-09-07T10:53:25.4765106Z triton_mm_268 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:25.4767151Z triton_mm_271 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:25.4769804Z triton_mm_266 0.0225 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:53:25.4770588Z addmm 0.0256 ms 64.0% 2025-09-07T10:53:25.4771314Z triton_mm_260 0.0256 ms 64.0% 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 2025-09-07T10:53:25.4772612Z SingleProcess AUTOTUNE benchmarking takes 0.4382 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:53:25.8622156Z Autotune Choices Stats: 2025-09-07T10:53:25.8625142Z {"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_346", "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"} 2025-09-07T10:53:25.8721287Z AUTOTUNE mm(2056x512, 512x512) 2025-09-07T10:53:25.8721891Z strides: [512, 1], [1, 512] 2025-09-07T10:53:25.8722414Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:25.8723004Z mm 0.0154 ms 100.0% 2025-09-07T10:53:25.8724703Z triton_mm_346 0.0164 ms 93.7% 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 2025-09-07T10:53:25.8726947Z triton_mm_347 0.0164 ms 93.7% 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 2025-09-07T10:53:25.8729196Z triton_mm_337 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:25.8731536Z triton_mm_339 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 2025-09-07T10:53:25.8734256Z triton_mm_343 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 2025-09-07T10:53:25.8736423Z triton_mm_345 0.0184 ms 83.3% 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 2025-09-07T10:53:25.8738419Z triton_mm_338 0.0215 ms 71.4% 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 2025-09-07T10:53:25.8740528Z triton_mm_336 0.0225 ms 68.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:53:25.8742849Z triton_mm_341 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 2025-09-07T10:53:25.8744934Z SingleProcess AUTOTUNE benchmarking takes 0.3863 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:53:26.2711801Z Autotune Choices Stats: 2025-09-07T10:53:26.2713820Z {"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=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:53:26.2892761Z AUTOTUNE mm(8x512, 512x1024) 2025-09-07T10:53:26.2893574Z strides: [131584, 1], [1, 512] 2025-09-07T10:53:26.2894083Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:26.2895453Z triton_mm_676 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 2025-09-07T10:53:26.2898086Z triton_mm_675 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 2025-09-07T10:53:26.2900055Z triton_mm_688 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 2025-09-07T10:53:26.2902246Z triton_mm_683 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:26.2904405Z triton_mm_684 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:53:26.2906625Z triton_mm_682 0.0123 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:26.2908791Z triton_mm_678 0.0184 ms 50.0% 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=2, num_warps=4 2025-09-07T10:53:26.2911258Z triton_mm_687 0.0205 ms 45.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:53:26.2913465Z triton_mm_677 0.0246 ms 37.5% 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 2025-09-07T10:53:26.2915648Z triton_mm_686 0.0246 ms 37.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:53:26.2917525Z SingleProcess AUTOTUNE benchmarking takes 0.3803 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:53:26.6930650Z Autotune Choices Stats: 2025-09-07T10:53:26.6933463Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.030719999223947525, "best_triton_pos": 1, "best_triton_time": 0.03174399957060814, "best_triton_kernel": "triton_mm_698", "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"} 2025-09-07T10:53:26.7102879Z AUTOTUNE addmm(520x3072, 520x1024, 1024x3072) 2025-09-07T10:53:26.7103533Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:53:26.7104120Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:26.7104851Z bias_addmm 0.0307 ms 100.0% 2025-09-07T10:53:26.7106194Z triton_mm_698 0.0317 ms 96.8% 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 2025-09-07T10:53:26.7107518Z addmm 0.0358 ms 85.7% 2025-09-07T10:53:26.7108798Z triton_mm_696 0.0358 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 2025-09-07T10:53:26.7110917Z triton_mm_699 0.0369 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 2025-09-07T10:53:26.7113013Z triton_mm_701 0.0369 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:26.7115149Z triton_mm_695 0.0399 ms 76.9% 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 2025-09-07T10:53:26.7117311Z triton_mm_705 0.0399 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:26.7120075Z triton_mm_697 0.0410 ms 75.0% 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 2025-09-07T10:53:26.7122310Z triton_mm_700 0.0410 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:26.7124258Z SingleProcess AUTOTUNE benchmarking takes 0.4196 seconds and 0.0006 seconds precompiling for 20 choices 2025-09-07T10:53:27.0659161Z Autotune Choices Stats: 2025-09-07T10:53:27.0661936Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "best_triton_kernel": "triton_mm_718", "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"} 2025-09-07T10:53:27.0757479Z AUTOTUNE addmm(520x1024, 520x1024, 1024x1024) 2025-09-07T10:53:27.0758157Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:53:27.0758811Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:27.0759468Z bias_addmm 0.0174 ms 100.0% 2025-09-07T10:53:27.0761300Z triton_mm_718 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 2025-09-07T10:53:27.0763532Z triton_mm_714 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 2025-09-07T10:53:27.0765707Z triton_mm_720 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 2025-09-07T10:53:27.0767857Z triton_mm_715 0.0215 ms 81.0% 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 2025-09-07T10:53:27.0770046Z triton_mm_717 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 2025-09-07T10:53:27.0772279Z triton_mm_708 0.0246 ms 70.8% 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 2025-09-07T10:53:27.0774837Z triton_mm_711 0.0246 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:53:27.0777046Z triton_mm_724 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 2025-09-07T10:53:27.0779270Z triton_mm_716 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 2025-09-07T10:53:27.0781199Z SingleProcess AUTOTUNE benchmarking takes 0.3636 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:53:27.3582971Z Autotune Choices Stats: 2025-09-07T10:53:27.3585485Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.018432000651955605, "best_triton_kernel": "triton_mm_790", "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"} 2025-09-07T10:53:27.3682764Z AUTOTUNE mm(520x1024, 1024x1024) 2025-09-07T10:53:27.3683311Z strides: [1024, 1], [1, 1024] 2025-09-07T10:53:27.3684278Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:27.3684834Z mm 0.0164 ms 100.0% 2025-09-07T10:53:27.3686087Z triton_mm_790 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:27.3688242Z triton_mm_786 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 2025-09-07T10:53:27.3690293Z triton_mm_789 0.0205 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:27.3692485Z triton_mm_792 0.0205 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 2025-09-07T10:53:27.3695075Z triton_mm_787 0.0215 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:53:27.3697248Z triton_mm_780 0.0236 ms 69.6% 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 2025-09-07T10:53:27.3699736Z triton_mm_796 0.0236 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:27.3701996Z triton_mm_783 0.0246 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:53:27.3704140Z triton_mm_788 0.0246 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:27.3706129Z SingleProcess AUTOTUNE benchmarking takes 0.2847 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:27.7274936Z Autotune Choices Stats: 2025-09-07T10:53:27.7277282Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_981", "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} 2025-09-07T10:53:27.7383529Z AUTOTUNE addmm(8x1000, 8x1024, 1024x1000) 2025-09-07T10:53:27.7384204Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:53:27.7384963Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:53:27.7386465Z triton_mm_981 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 2025-09-07T10:53:27.7388751Z triton_mm_985 0.0113 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 2025-09-07T10:53:27.7391078Z triton_mm_989 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:53:27.7393337Z triton_mm_993 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:27.7394777Z bias_addmm 0.0143 ms 78.6% 2025-09-07T10:53:27.7396111Z triton_mm_979 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:53:27.7398333Z triton_mm_980 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:53:27.7400578Z triton_mm_978 0.0154 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:53:27.7403318Z triton_mm_984 0.0154 ms 73.3% 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 2025-09-07T10:53:27.7405555Z triton_mm_988 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=3, num_warps=4 2025-09-07T10:53:27.7407504Z SingleProcess AUTOTUNE benchmarking takes 0.3488 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:50.4701822Z Autotune Choices Stats: 2025-09-07T10:53:50.4703611Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03276799991726875, "best_triton_pos": 1, "best_triton_time": 0.03276799991726875, "best_triton_kernel": "triton_mm_2544", "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"} 2025-09-07T10:53:50.4806451Z AUTOTUNE mm(7696x256, 256x1024) 2025-09-07T10:53:50.4807019Z strides: [256, 1], [1024, 1] 2025-09-07T10:53:50.4807486Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:50.4808007Z mm 0.0328 ms 100.0% 2025-09-07T10:53:50.4809755Z triton_mm_2544 0.0328 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 2025-09-07T10:53:50.4811869Z triton_mm_2545 0.0338 ms 97.0% 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 2025-09-07T10:53:50.4814277Z triton_mm_2548 0.0338 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:50.4816523Z triton_mm_2542 0.0348 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 2025-09-07T10:53:50.4818588Z triton_mm_2549 0.0348 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:50.4820663Z triton_mm_2543 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 2025-09-07T10:53:50.4822694Z triton_mm_2546 0.0399 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:50.4824822Z triton_mm_2550 0.0420 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:50.4826941Z triton_mm_2540 0.0430 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:50.4828736Z SingleProcess AUTOTUNE benchmarking takes 0.4496 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:53:51.3351061Z Autotune Choices Stats: 2025-09-07T10:53:51.3352798Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.028672000393271446, "best_triton_pos": 1, "best_triton_time": 0.03174399957060814, "best_triton_kernel": "triton_mm_1647", "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"} 2025-09-07T10:53:51.3449723Z AUTOTUNE mm(2056x512, 512x2048) 2025-09-07T10:53:51.3450089Z strides: [512, 1], [2048, 1] 2025-09-07T10:53:51.3450395Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:51.3451146Z mm 0.0287 ms 100.0% 2025-09-07T10:53:51.3452074Z triton_mm_1647 0.0317 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:51.3453811Z triton_mm_1651 0.0317 ms 90.3% 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 2025-09-07T10:53:51.3455101Z triton_mm_1652 0.0328 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 2025-09-07T10:53:51.3456379Z triton_mm_1645 0.0348 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:51.3457643Z triton_mm_1648 0.0348 ms 82.4% 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 2025-09-07T10:53:51.3458915Z triton_mm_1646 0.0358 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 2025-09-07T10:53:51.3460421Z triton_mm_1653 0.0369 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:51.3461716Z triton_mm_1649 0.0410 ms 70.0% 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 2025-09-07T10:53:51.3462990Z triton_mm_1642 0.0420 ms 68.3% 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 2025-09-07T10:53:51.3464091Z SingleProcess AUTOTUNE benchmarking takes 0.4203 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:52.2508841Z Autotune Choices Stats: 2025-09-07T10:53:52.2510373Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03276799991726875, "best_triton_pos": 1, "best_triton_time": 0.035840000957250595, "best_triton_kernel": "triton_mm_1054", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:53:52.2607963Z AUTOTUNE mm(1024x520, 520x4096) 2025-09-07T10:53:52.2608322Z strides: [1, 1024], [4096, 1] 2025-09-07T10:53:52.2608630Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:52.2608940Z mm 0.0328 ms 100.0% 2025-09-07T10:53:52.2609675Z triton_mm_1054 0.0358 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:52.2610900Z triton_mm_1056 0.0358 ms 91.4% 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 2025-09-07T10:53:52.2612111Z triton_mm_1057 0.0358 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:52.2614082Z triton_mm_1055 0.0379 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:52.2615295Z triton_mm_1060 0.0379 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:52.2616513Z triton_mm_1061 0.0379 ms 86.5% 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 2025-09-07T10:53:52.2618055Z triton_mm_1058 0.0389 ms 84.2% 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 2025-09-07T10:53:52.2619268Z triton_mm_1062 0.0420 ms 78.0% 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 2025-09-07T10:53:52.2620461Z triton_mm_1052 0.0471 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:52.2621491Z SingleProcess AUTOTUNE benchmarking takes 0.3480 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:52.8284133Z Autotune Choices Stats: 2025-09-07T10:53:52.8285666Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03276799991726875, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_mm_1093", "best_triton_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"} 2025-09-07T10:53:52.8380074Z AUTOTUNE mm(4096x520, 520x1024) 2025-09-07T10:53:52.8380426Z strides: [1, 4096], [1024, 1] 2025-09-07T10:53:52.8380723Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:52.8381043Z mm 0.0328 ms 100.0% 2025-09-07T10:53:52.8389065Z triton_mm_1093 0.0348 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 2025-09-07T10:53:52.8390473Z triton_mm_1092 0.0358 ms 91.4% 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 2025-09-07T10:53:52.8391687Z triton_mm_1090 0.0369 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 2025-09-07T10:53:52.8392908Z triton_mm_1094 0.0379 ms 86.5% 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 2025-09-07T10:53:52.8394118Z triton_mm_1096 0.0379 ms 86.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:52.8395334Z triton_mm_1097 0.0379 ms 86.5% 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 2025-09-07T10:53:52.8396571Z triton_mm_1091 0.0389 ms 84.2% 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 2025-09-07T10:53:52.8397802Z triton_mm_1098 0.0420 ms 78.0% 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 2025-09-07T10:53:52.8399027Z triton_mm_1095 0.0461 ms 71.1% 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=2, num_warps=8 2025-09-07T10:53:52.8400060Z SingleProcess AUTOTUNE benchmarking takes 0.3437 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:53.3027079Z Autotune Choices Stats: 2025-09-07T10:53:53.3028581Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.027648000046610832, "best_triton_kernel": "triton_mm_1168", "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"} 2025-09-07T10:53:53.3124622Z AUTOTUNE mm(3072x520, 520x1024) 2025-09-07T10:53:53.3125344Z strides: [1, 3072], [1024, 1] 2025-09-07T10:53:53.3125648Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:53.3125962Z mm 0.0246 ms 100.0% 2025-09-07T10:53:53.3126680Z triton_mm_1168 0.0276 ms 88.9% 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 2025-09-07T10:53:53.3127919Z triton_mm_1169 0.0276 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=3, num_warps=4 2025-09-07T10:53:53.3129139Z triton_mm_1162 0.0287 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=3, num_warps=4 2025-09-07T10:53:53.3130357Z triton_mm_1165 0.0287 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=3, num_warps=4 2025-09-07T10:53:53.3131570Z triton_mm_1164 0.0297 ms 82.8% 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 2025-09-07T10:53:53.3133058Z triton_mm_1167 0.0307 ms 80.0% 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 2025-09-07T10:53:53.3134505Z triton_mm_1170 0.0307 ms 80.0% 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 2025-09-07T10:53:53.3135711Z triton_mm_1163 0.0317 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:53.3136918Z triton_mm_1166 0.0317 ms 77.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:53.3137966Z SingleProcess AUTOTUNE benchmarking takes 0.3179 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:53.9050795Z Autotune Choices Stats: 2025-09-07T10:53:53.9052299Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02969600073993206, "best_triton_pos": 1, "best_triton_time": 0.03379200026392937, "best_triton_kernel": "triton_mm_1036", "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"} 2025-09-07T10:53:53.9146789Z AUTOTUNE mm(520x1024, 1024x4096) 2025-09-07T10:53:53.9147085Z strides: [1024, 1], [4096, 1] 2025-09-07T10:53:53.9147391Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:53.9147703Z mm 0.0297 ms 100.0% 2025-09-07T10:53:53.9148419Z triton_mm_1036 0.0338 ms 87.9% 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 2025-09-07T10:53:53.9149629Z triton_mm_1038 0.0338 ms 87.9% 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 2025-09-07T10:53:53.9150830Z triton_mm_1039 0.0358 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:53.9152026Z triton_mm_1037 0.0379 ms 78.4% 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 2025-09-07T10:53:53.9153231Z triton_mm_1043 0.0389 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:53.9154433Z triton_mm_1040 0.0399 ms 74.4% 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 2025-09-07T10:53:53.9155955Z triton_mm_1042 0.0410 ms 72.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:53.9157168Z triton_mm_1044 0.0430 ms 69.0% 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 2025-09-07T10:53:53.9158365Z triton_mm_1034 0.0451 ms 65.9% 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 2025-09-07T10:53:53.9159374Z SingleProcess AUTOTUNE benchmarking takes 0.3330 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:53:54.5845854Z Autotune Choices Stats: 2025-09-07T10:53:54.5847349Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_mm_1128", "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"} 2025-09-07T10:53:54.5941368Z AUTOTUNE mm(1024x520, 520x1024) 2025-09-07T10:53:54.5941710Z strides: [1, 1024], [1024, 1] 2025-09-07T10:53:54.5942390Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:54.5942695Z mm 0.0164 ms 100.0% 2025-09-07T10:53:54.5943433Z triton_mm_1128 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 2025-09-07T10:53:54.5944673Z triton_mm_1134 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=5, num_warps=8 2025-09-07T10:53:54.5945964Z triton_mm_1129 0.0184 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=3, num_warps=4 2025-09-07T10:53:54.5947191Z triton_mm_1133 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=3, num_warps=4 2025-09-07T10:53:54.5948398Z triton_mm_1124 0.0195 ms 84.2% 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 2025-09-07T10:53:54.5949582Z triton_mm_1126 0.0195 ms 84.2% 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 2025-09-07T10:53:54.5950787Z triton_mm_1127 0.0195 ms 84.2% 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 2025-09-07T10:53:54.5951992Z triton_mm_1130 0.0195 ms 84.2% 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 2025-09-07T10:53:54.5953205Z triton_mm_1132 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:54.5954255Z SingleProcess AUTOTUNE benchmarking takes 0.2787 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:55.2028273Z Autotune Choices Stats: 2025-09-07T10:53:55.2029807Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03481600061058998, "best_triton_pos": 1, "best_triton_time": 0.043007999658584595, "best_triton_kernel": "triton_mm_1665", "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"} 2025-09-07T10:53:55.2126410Z AUTOTUNE mm(512x2056, 2056x2048) 2025-09-07T10:53:55.2126728Z strides: [1, 512], [2048, 1] 2025-09-07T10:53:55.2127023Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:55.2127321Z mm 0.0348 ms 100.0% 2025-09-07T10:53:55.2128040Z triton_mm_1665 0.0430 ms 81.0% 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 2025-09-07T10:53:55.2129281Z triton_mm_1670 0.0440 ms 79.1% 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 2025-09-07T10:53:55.2130500Z triton_mm_1671 0.0451 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 2025-09-07T10:53:55.2131702Z triton_mm_1661 0.0461 ms 75.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:55.2133154Z triton_mm_1669 0.0481 ms 72.3% 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 2025-09-07T10:53:55.2134361Z triton_mm_1666 0.0492 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:55.2135772Z triton_mm_1663 0.0502 ms 69.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:55.2136982Z triton_mm_1667 0.0522 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 2025-09-07T10:53:55.2138193Z triton_mm_1662 0.0543 ms 64.2% 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 2025-09-07T10:53:55.2139238Z SingleProcess AUTOTUNE benchmarking takes 0.3518 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:53:55.6075868Z Autotune Choices Stats: 2025-09-07T10:53:55.6077437Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03481600061058998, "best_triton_pos": 1, "best_triton_time": 0.043007999658584595, "best_triton_kernel": "triton_mm_1701", "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"} 2025-09-07T10:53:55.6171383Z AUTOTUNE mm(2048x2056, 2056x512) 2025-09-07T10:53:55.6171701Z strides: [1, 2048], [512, 1] 2025-09-07T10:53:55.6172005Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:55.6172303Z mm 0.0348 ms 100.0% 2025-09-07T10:53:55.6173258Z triton_mm_1701 0.0430 ms 81.0% 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 2025-09-07T10:53:55.6174505Z triton_mm_1706 0.0440 ms 79.1% 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 2025-09-07T10:53:55.6175733Z triton_mm_1707 0.0451 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 2025-09-07T10:53:55.6176931Z triton_mm_1697 0.0461 ms 75.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:55.6178129Z triton_mm_1702 0.0471 ms 73.9% 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 2025-09-07T10:53:55.6179325Z triton_mm_1699 0.0492 ms 70.8% 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 2025-09-07T10:53:55.6180898Z triton_mm_1705 0.0492 ms 70.8% 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 2025-09-07T10:53:55.6182122Z triton_mm_1703 0.0522 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 2025-09-07T10:53:55.6183335Z triton_mm_1698 0.0543 ms 64.2% 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 2025-09-07T10:53:55.6184372Z SingleProcess AUTOTUNE benchmarking takes 0.3467 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:53:56.0227152Z Autotune Choices Stats: 2025-09-07T10:53:56.0228374Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1011", "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} 2025-09-07T10:53:56.0325108Z AUTOTUNE mm(1000x8, 8x1024) 2025-09-07T10:53:56.0325411Z strides: [1, 1000], [1024, 1] 2025-09-07T10:53:56.0326054Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:56.0326825Z triton_mm_1011 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 2025-09-07T10:53:56.0328042Z triton_mm_1012 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 2025-09-07T10:53:56.0329252Z triton_mm_1013 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 2025-09-07T10:53:56.0330466Z triton_mm_1014 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 2025-09-07T10:53:56.0331677Z triton_mm_1015 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 2025-09-07T10:53:56.0333151Z triton_mm_1016 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 2025-09-07T10:53:56.0334348Z triton_mm_1017 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 2025-09-07T10:53:56.0335555Z triton_mm_1018 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 2025-09-07T10:53:56.0336780Z triton_mm_1019 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 2025-09-07T10:53:56.0338003Z triton_mm_1020 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 2025-09-07T10:53:56.0339054Z SingleProcess AUTOTUNE benchmarking takes 0.2283 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:53:56.5814842Z Autotune Choices Stats: 2025-09-07T10:53:56.5816328Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.026623999699950218, "best_triton_pos": 1, "best_triton_time": 0.03276799991726875, "best_triton_kernel": "triton_mm_1773", "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"} 2025-09-07T10:53:56.5915085Z AUTOTUNE mm(1536x2056, 2056x512) 2025-09-07T10:53:56.5915404Z strides: [1, 1536], [512, 1] 2025-09-07T10:53:56.5915705Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:56.5916010Z mm 0.0266 ms 100.0% 2025-09-07T10:53:56.5916730Z triton_mm_1773 0.0328 ms 81.2% 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 2025-09-07T10:53:56.5917941Z triton_mm_1769 0.0338 ms 78.8% 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 2025-09-07T10:53:56.5919144Z triton_mm_1772 0.0338 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:56.5920355Z triton_mm_1775 0.0358 ms 74.3% 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 2025-09-07T10:53:56.5921562Z triton_mm_1770 0.0389 ms 68.4% 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 2025-09-07T10:53:56.5923000Z triton_mm_1774 0.0420 ms 63.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:56.5924213Z triton_mm_1771 0.0440 ms 60.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:53:56.5925416Z triton_mm_1778 0.0440 ms 60.5% 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 2025-09-07T10:53:56.5926644Z triton_mm_1779 0.0451 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:56.5927696Z SingleProcess AUTOTUNE benchmarking takes 0.3370 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:53:57.0923618Z Autotune Choices Stats: 2025-09-07T10:53:57.0924880Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1603", "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} 2025-09-07T10:53:57.1028180Z AUTOTUNE mm(1024x8, 8x512) 2025-09-07T10:53:57.1028483Z strides: [1, 66560], [131584, 1] 2025-09-07T10:53:57.1028794Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:57.1029551Z triton_mm_1603 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 2025-09-07T10:53:57.1030808Z triton_mm_1604 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:53:57.1032025Z triton_mm_1605 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 2025-09-07T10:53:57.1033228Z triton_mm_1606 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:57.1034437Z triton_mm_1607 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:53:57.1036076Z triton_mm_1608 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:53:57.1037283Z triton_mm_1609 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:53:57.1038496Z triton_mm_1610 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:53:57.1039716Z triton_mm_1611 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 2025-09-07T10:53:57.1040931Z triton_mm_1612 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:57.1041988Z SingleProcess AUTOTUNE benchmarking takes 0.2257 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:53:57.6905811Z Autotune Choices Stats: 2025-09-07T10:53:57.6909131Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.021503999829292297, "best_triton_kernel": "triton_mm_1734", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:53:57.7093473Z AUTOTUNE mm(512x2056, 2056x512) 2025-09-07T10:53:57.7094072Z strides: [1, 512], [512, 1] 2025-09-07T10:53:57.7094558Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:57.7095094Z mm 0.0174 ms 100.0% 2025-09-07T10:53:57.7096435Z triton_mm_1734 0.0215 ms 81.0% 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 2025-09-07T10:53:57.7098834Z triton_mm_1733 0.0256 ms 68.0% 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 2025-09-07T10:53:57.7101195Z triton_mm_1727 0.0287 ms 60.7% 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 2025-09-07T10:53:57.7103611Z triton_mm_1737 0.0297 ms 58.6% 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 2025-09-07T10:53:57.7105998Z triton_mm_1728 0.0328 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:57.7108209Z triton_mm_1729 0.0328 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:57.7110560Z triton_mm_1736 0.0338 ms 51.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:57.7112865Z triton_mm_1739 0.0348 ms 50.0% 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 2025-09-07T10:53:57.7115185Z triton_mm_1730 0.0369 ms 47.2% 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 2025-09-07T10:53:57.7117166Z SingleProcess AUTOTUNE benchmarking takes 0.3741 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:53:58.5371496Z Autotune Choices Stats: 2025-09-07T10:53:58.5373356Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.04198399931192398, "best_triton_pos": 1, "best_triton_time": 0.05734400078654289, "best_triton_kernel": "triton_mm_2559", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:53:58.5477651Z AUTOTUNE mm(256x7696, 7696x1024) 2025-09-07T10:53:58.5478003Z strides: [1, 256], [1024, 1] 2025-09-07T10:53:58.5478324Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:58.5478637Z mm 0.0420 ms 100.0% 2025-09-07T10:53:58.5479351Z triton_mm_2559 0.0573 ms 73.2% 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 2025-09-07T10:53:58.5480571Z triton_mm_2555 0.0717 ms 58.6% 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 2025-09-07T10:53:58.5481774Z triton_mm_2558 0.0788 ms 53.2% 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 2025-09-07T10:53:58.5482983Z triton_mm_2552 0.0881 ms 47.7% 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 2025-09-07T10:53:58.5485341Z triton_mm_2562 0.0891 ms 47.1% 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 2025-09-07T10:53:58.5486564Z triton_mm_2553 0.0963 ms 43.6% 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 2025-09-07T10:53:58.5487744Z triton_mm_2554 0.0963 ms 43.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:53:58.5488989Z triton_mm_2561 0.1065 ms 39.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:58.5490197Z triton_mm_2564 0.1085 ms 38.7% 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 2025-09-07T10:53:58.5491234Z SingleProcess AUTOTUNE benchmarking takes 0.4881 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:53:59.0639783Z Autotune Choices Stats: 2025-09-07T10:53:59.0642662Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.043007999658584595, "best_triton_pos": 1, "best_triton_time": 0.05734400078654289, "best_triton_kernel": "triton_mm_2595", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:53:59.0821995Z AUTOTUNE mm(1024x7696, 7696x256) 2025-09-07T10:53:59.0822612Z strides: [1, 1024], [256, 1] 2025-09-07T10:53:59.0823148Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:59.0823689Z mm 0.0430 ms 100.0% 2025-09-07T10:53:59.0825146Z triton_mm_2595 0.0573 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 2025-09-07T10:53:59.0827550Z triton_mm_2591 0.0707 ms 60.9% 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 2025-09-07T10:53:59.0829833Z triton_mm_2594 0.0788 ms 54.5% 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 2025-09-07T10:53:59.0832117Z triton_mm_2588 0.0850 ms 50.6% 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 2025-09-07T10:53:59.0843637Z triton_mm_2598 0.0932 ms 46.2% 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 2025-09-07T10:53:59.0845963Z triton_mm_2590 0.0963 ms 44.7% 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 2025-09-07T10:53:59.0848323Z triton_mm_2589 0.0973 ms 44.2% 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 2025-09-07T10:53:59.0850654Z triton_mm_2597 0.1014 ms 42.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:53:59.0853320Z triton_mm_2600 0.1085 ms 39.6% 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 2025-09-07T10:53:59.0855195Z SingleProcess AUTOTUNE benchmarking takes 0.4932 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:53:59.6730886Z Autotune Choices Stats: 2025-09-07T10:53:59.6733045Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.035840000957250595, "best_triton_pos": 1, "best_triton_time": 0.03993599861860275, "best_triton_kernel": "triton_mm_2663", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:53:59.6833494Z AUTOTUNE mm(768x7696, 7696x256) 2025-09-07T10:53:59.6833982Z strides: [1, 768], [256, 1] 2025-09-07T10:53:59.6834404Z dtypes: torch.float16, torch.float16 2025-09-07T10:53:59.6834885Z mm 0.0358 ms 100.0% 2025-09-07T10:53:59.6836062Z triton_mm_2663 0.0399 ms 89.7% 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 2025-09-07T10:53:59.6838057Z triton_mm_2667 0.0573 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 2025-09-07T10:53:59.6840159Z triton_mm_2661 0.0655 ms 54.7% 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 2025-09-07T10:53:59.6842114Z triton_mm_2662 0.0655 ms 54.7% 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 2025-09-07T10:53:59.6843957Z triton_mm_2666 0.0778 ms 46.1% 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 2025-09-07T10:53:59.6846042Z triton_mm_2660 0.0819 ms 43.8% 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 2025-09-07T10:53:59.6848083Z triton_mm_2670 0.0911 ms 39.3% 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 2025-09-07T10:53:59.6850251Z triton_mm_2669 0.1004 ms 35.7% 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 2025-09-07T10:53:59.6852274Z triton_mm_2672 0.1085 ms 33.0% 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 2025-09-07T10:53:59.6854176Z SingleProcess AUTOTUNE benchmarking takes 0.5021 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:54:00.2344370Z Autotune Choices Stats: 2025-09-07T10:54:00.2346611Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_2517", "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} 2025-09-07T10:54:00.2476671Z AUTOTUNE mm(512x8, 8x256) 2025-09-07T10:54:00.2477047Z strides: [1, 131584], [256, 1] 2025-09-07T10:54:00.2477343Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:00.2478155Z triton_mm_2517 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 2025-09-07T10:54:00.2479371Z triton_mm_2518 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:54:00.2480581Z triton_mm_2519 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 2025-09-07T10:54:00.2481891Z triton_mm_2520 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:54:00.2483547Z triton_mm_2521 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:54:00.2484763Z triton_mm_2522 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:54:00.2485973Z triton_mm_2523 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:54:00.2487239Z triton_mm_2524 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:54:00.2488625Z triton_mm_2525 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 2025-09-07T10:54:00.2489843Z triton_mm_2526 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:00.2491139Z SingleProcess AUTOTUNE benchmarking takes 0.2537 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:54:01.0371967Z Autotune Choices Stats: 2025-09-07T10:54:01.0375090Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.053247999399900436, "best_triton_kernel": "triton_mm_2631", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:54:01.0502306Z AUTOTUNE mm(256x7696, 7696x256) 2025-09-07T10:54:01.0502898Z strides: [1, 256], [256, 1] 2025-09-07T10:54:01.0503380Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:01.0503893Z mm 0.0246 ms 100.0% 2025-09-07T10:54:01.0505260Z triton_mm_2631 0.0532 ms 46.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:54:01.0507366Z triton_mm_2627 0.0553 ms 44.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:54:01.0509433Z triton_mm_2625 0.0604 ms 40.7% 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 2025-09-07T10:54:01.0512219Z triton_mm_2626 0.0614 ms 40.0% 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 2025-09-07T10:54:01.0514383Z triton_mm_2630 0.0737 ms 33.3% 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 2025-09-07T10:54:01.0516366Z triton_mm_2624 0.0768 ms 32.0% 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 2025-09-07T10:54:01.0518670Z triton_mm_2634 0.0881 ms 27.9% 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 2025-09-07T10:54:01.0520663Z triton_mm_2633 0.1055 ms 23.3% 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 2025-09-07T10:54:01.0522812Z triton_mm_2636 0.1065 ms 23.1% 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 2025-09-07T10:54:01.0524372Z SingleProcess AUTOTUNE benchmarking takes 0.5244 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:54:02.7046609Z Autotune Choices Stats: 2025-09-07T10:54:02.7049502Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1002", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:54:02.7200765Z AUTOTUNE mm(8x1000, 1000x1024) 2025-09-07T10:54:02.7201346Z strides: [1000, 1], [1024, 1] 2025-09-07T10:54:02.7201847Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:02.7203211Z triton_mm_1002 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 2025-09-07T10:54:02.7205507Z triton_mm_998 0.0113 ms 90.9% 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 2025-09-07T10:54:02.7207752Z triton_mm_1006 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 2025-09-07T10:54:02.7209167Z mm 0.0133 ms 76.9% 2025-09-07T10:54:02.7210433Z triton_mm_996 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 2025-09-07T10:54:02.7212625Z triton_mm_1010 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 2025-09-07T10:54:02.7225453Z triton_mm_997 0.0143 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:54:02.7227603Z triton_mm_1001 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 2025-09-07T10:54:02.7229821Z triton_mm_1005 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 2025-09-07T10:54:02.7232074Z triton_mm_1008 0.0154 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=4, num_warps=4 2025-09-07T10:54:02.7233998Z SingleProcess AUTOTUNE benchmarking takes 0.3021 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:54:03.1766578Z Autotune Choices Stats: 2025-09-07T10:54:03.1769192Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03788800165057182, "best_triton_pos": 1, "best_triton_time": 0.04915200173854828, "best_triton_kernel": "triton_mm_1074", "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"} 2025-09-07T10:54:03.1956387Z AUTOTUNE mm(520x4096, 4096x1024) 2025-09-07T10:54:03.1957000Z strides: [4096, 1], [1024, 1] 2025-09-07T10:54:03.1957523Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:03.1958056Z mm 0.0379 ms 100.0% 2025-09-07T10:54:03.1959312Z triton_mm_1074 0.0492 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:03.1961498Z triton_mm_1070 0.0553 ms 68.5% 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 2025-09-07T10:54:03.1963674Z triton_mm_1071 0.0563 ms 67.3% 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 2025-09-07T10:54:03.1966331Z triton_mm_1073 0.0594 ms 63.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:03.1968579Z triton_mm_1067 0.0614 ms 61.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:54:03.1970783Z triton_mm_1076 0.0625 ms 60.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:03.1973473Z triton_mm_1064 0.0707 ms 53.6% 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 2025-09-07T10:54:03.1975446Z triton_mm_1080 0.0727 ms 52.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:54:03.1976664Z triton_mm_1072 0.0737 ms 51.4% 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 2025-09-07T10:54:03.1977707Z SingleProcess AUTOTUNE benchmarking takes 0.4732 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:54:03.5459529Z Autotune Choices Stats: 2025-09-07T10:54:03.5461060Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.018432000651955605, "best_triton_kernel": "triton_mm_1110", "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"} 2025-09-07T10:54:03.5650412Z AUTOTUNE mm(520x1024, 1024x1024) 2025-09-07T10:54:03.5651040Z strides: [1024, 1], [1024, 1] 2025-09-07T10:54:03.5651583Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:03.5652068Z mm 0.0164 ms 100.0% 2025-09-07T10:54:03.5653198Z triton_mm_1110 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:03.5655569Z triton_mm_1109 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:03.5657781Z triton_mm_1112 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:03.5659989Z triton_mm_1106 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 2025-09-07T10:54:03.5661531Z triton_mm_1107 0.0225 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:54:03.5662778Z triton_mm_1100 0.0236 ms 69.6% 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 2025-09-07T10:54:03.5663971Z triton_mm_1103 0.0236 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:54:03.5665271Z triton_mm_1108 0.0236 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:03.5666492Z triton_mm_1116 0.0236 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:54:03.5667549Z SingleProcess AUTOTUNE benchmarking takes 0.3671 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:54:03.9910497Z Autotune Choices Stats: 2025-09-07T10:54:03.9912447Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02969600073993206, "best_triton_pos": 1, "best_triton_time": 0.03993599861860275, "best_triton_kernel": "triton_mm_1146", "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"} 2025-09-07T10:54:04.0110472Z AUTOTUNE mm(520x3072, 3072x1024) 2025-09-07T10:54:04.0110841Z strides: [3072, 1], [1024, 1] 2025-09-07T10:54:04.0111146Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:04.0111473Z mm 0.0297 ms 100.0% 2025-09-07T10:54:04.0112199Z triton_mm_1146 0.0399 ms 74.4% 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 2025-09-07T10:54:04.0113410Z triton_mm_1142 0.0440 ms 67.4% 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 2025-09-07T10:54:04.0114613Z triton_mm_1143 0.0451 ms 65.9% 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 2025-09-07T10:54:04.0115808Z triton_mm_1145 0.0461 ms 64.4% 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 2025-09-07T10:54:04.0117000Z triton_mm_1139 0.0481 ms 61.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:54:04.0118194Z triton_mm_1148 0.0492 ms 60.4% 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 2025-09-07T10:54:04.0119396Z triton_mm_1136 0.0543 ms 54.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:54:04.0120603Z triton_mm_1144 0.0563 ms 52.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:04.0121996Z triton_mm_1152 0.0573 ms 51.8% 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 2025-09-07T10:54:04.0123050Z SingleProcess AUTOTUNE benchmarking takes 0.4415 seconds and 0.0008 seconds precompiling for 19 choices 2025-09-07T10:54:04.3732459Z Autotune Choices Stats: 2025-09-07T10:54:04.3734025Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1623", "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} 2025-09-07T10:54:04.3933333Z AUTOTUNE mm(8x1024, 1024x512) 2025-09-07T10:54:04.3933960Z strides: [66560, 1], [512, 1] 2025-09-07T10:54:04.3934459Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:04.3935795Z triton_mm_1623 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 2025-09-07T10:54:04.3937848Z triton_mm_1627 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 2025-09-07T10:54:04.3939244Z mm 0.0123 ms 83.3% 2025-09-07T10:54:04.3940537Z triton_mm_1621 0.0133 ms 76.9% 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 2025-09-07T10:54:04.3942696Z triton_mm_1622 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:54:04.3945438Z triton_mm_1626 0.0133 ms 76.9% 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 2025-09-07T10:54:04.3947768Z triton_mm_1631 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 2025-09-07T10:54:04.3950032Z triton_mm_1635 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 2025-09-07T10:54:04.3952301Z triton_mm_1620 0.0143 ms 71.4% 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 2025-09-07T10:54:04.3954506Z triton_mm_1633 0.0154 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:54:04.3956354Z SingleProcess AUTOTUNE benchmarking takes 0.3242 seconds and 0.0004 seconds precompiling for 18 choices 2025-09-07T10:54:04.7767500Z Autotune Choices Stats: 2025-09-07T10:54:04.7768983Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03481600061058998, "best_triton_pos": 1, "best_triton_time": 0.04095999896526337, "best_triton_kernel": "triton_mm_1683", "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"} 2025-09-07T10:54:04.7941728Z AUTOTUNE mm(2056x2048, 2048x512) 2025-09-07T10:54:04.7942253Z strides: [2048, 1], [512, 1] 2025-09-07T10:54:04.7942773Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:04.7943308Z mm 0.0348 ms 100.0% 2025-09-07T10:54:04.7944588Z triton_mm_1683 0.0410 ms 85.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:04.7946769Z triton_mm_1689 0.0420 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:54:04.7948910Z triton_mm_1679 0.0440 ms 79.1% 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 2025-09-07T10:54:04.7951062Z triton_mm_1688 0.0440 ms 79.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:04.7953706Z triton_mm_1680 0.0461 ms 75.6% 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 2025-09-07T10:54:04.7955880Z triton_mm_1681 0.0461 ms 75.6% 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 2025-09-07T10:54:04.7958125Z triton_mm_1684 0.0492 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:04.7960338Z triton_mm_1687 0.0492 ms 70.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:04.7962610Z triton_mm_1682 0.0522 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:04.7964370Z SingleProcess AUTOTUNE benchmarking takes 0.3973 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:54:05.0901535Z Autotune Choices Stats: 2025-09-07T10:54:05.0903465Z {"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_1719", "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"} 2025-09-07T10:54:05.1079212Z AUTOTUNE mm(2056x512, 512x512) 2025-09-07T10:54:05.1079804Z strides: [512, 1], [512, 1] 2025-09-07T10:54:05.1080321Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:05.1080859Z mm 0.0164 ms 100.0% 2025-09-07T10:54:05.1082232Z triton_mm_1719 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:05.1084564Z triton_mm_1724 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 2025-09-07T10:54:05.1086943Z triton_mm_1725 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:54:05.1089276Z triton_mm_1720 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 2025-09-07T10:54:05.1091511Z triton_mm_1715 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:54:05.1094144Z triton_mm_1717 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=3, num_warps=4 2025-09-07T10:54:05.1096332Z triton_mm_1718 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 2025-09-07T10:54:05.1098533Z triton_mm_1723 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 2025-09-07T10:54:05.1100690Z triton_mm_1721 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:05.1102544Z SingleProcess AUTOTUNE benchmarking takes 0.3112 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:54:05.4817639Z Autotune Choices Stats: 2025-09-07T10:54:05.4820278Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02969600073993206, "best_triton_pos": 1, "best_triton_time": 0.03174399957060814, "best_triton_kernel": "triton_mm_1755", "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"} 2025-09-07T10:54:05.4959445Z AUTOTUNE mm(2056x1536, 1536x512) 2025-09-07T10:54:05.4959999Z strides: [1536, 1], [512, 1] 2025-09-07T10:54:05.4960435Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:05.4960825Z mm 0.0297 ms 100.0% 2025-09-07T10:54:05.4961556Z triton_mm_1755 0.0317 ms 93.5% 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 2025-09-07T10:54:05.4962774Z triton_mm_1761 0.0338 ms 87.9% 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 2025-09-07T10:54:05.4963988Z triton_mm_1751 0.0358 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:54:05.4965825Z triton_mm_1760 0.0358 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:05.4967875Z triton_mm_1753 0.0369 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:05.4969830Z triton_mm_1752 0.0379 ms 78.4% 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 2025-09-07T10:54:05.4971954Z triton_mm_1754 0.0379 ms 78.4% 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 2025-09-07T10:54:05.4974536Z triton_mm_1757 0.0379 ms 78.4% 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 2025-09-07T10:54:05.4976605Z triton_mm_1756 0.0389 ms 76.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:05.4978459Z SingleProcess AUTOTUNE benchmarking takes 0.3854 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:54:05.9326576Z Autotune Choices Stats: 2025-09-07T10:54:05.9328830Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_2504", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:54:05.9513695Z AUTOTUNE mm(8x512, 512x256) 2025-09-07T10:54:05.9514250Z strides: [131584, 1], [256, 1] 2025-09-07T10:54:05.9514783Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:05.9516097Z triton_mm_2504 0.0082 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 2025-09-07T10:54:05.9518148Z triton_mm_2503 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:54:05.9520037Z triton_mm_2508 0.0092 ms 88.9% 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 2025-09-07T10:54:05.9521250Z mm 0.0102 ms 80.0% 2025-09-07T10:54:05.9522328Z triton_mm_2501 0.0102 ms 80.0% 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 2025-09-07T10:54:05.9524824Z triton_mm_2502 0.0102 ms 80.0% 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 2025-09-07T10:54:05.9526657Z triton_mm_2507 0.0102 ms 80.0% 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 2025-09-07T10:54:05.9528702Z triton_mm_2512 0.0102 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:54:05.9530526Z triton_mm_2516 0.0102 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 2025-09-07T10:54:05.9532730Z triton_mm_2510 0.0113 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:05.9535007Z SingleProcess AUTOTUNE benchmarking takes 0.3358 seconds and 0.0006 seconds precompiling for 18 choices 2025-09-07T10:54:06.3070836Z Autotune Choices Stats: 2025-09-07T10:54:06.3072702Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03891199827194214, "best_triton_pos": 1, "best_triton_time": 0.03891199827194214, "best_triton_kernel": "triton_mm_2580", "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"} 2025-09-07T10:54:06.3180374Z AUTOTUNE mm(7696x1024, 1024x256) 2025-09-07T10:54:06.3180789Z strides: [1024, 1], [256, 1] 2025-09-07T10:54:06.3181090Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:06.3181387Z mm 0.0389 ms 100.0% 2025-09-07T10:54:06.3182106Z triton_mm_2580 0.0389 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 2025-09-07T10:54:06.3183331Z triton_mm_2581 0.0410 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:06.3184542Z triton_mm_2585 0.0410 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 2025-09-07T10:54:06.3185792Z triton_mm_2578 0.0420 ms 92.7% 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 2025-09-07T10:54:06.3186996Z triton_mm_2584 0.0430 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:06.3188184Z triton_mm_2579 0.0451 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:06.3189377Z triton_mm_2582 0.0451 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=4, num_warps=8 2025-09-07T10:54:06.3190589Z triton_mm_2586 0.0451 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:54:06.3191786Z triton_mm_2576 0.0471 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:54:06.3192816Z SingleProcess AUTOTUNE benchmarking takes 0.3627 seconds and 0.0005 seconds precompiling for 19 choices 2025-09-07T10:54:06.5779270Z Autotune Choices Stats: 2025-09-07T10:54:06.5780946Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_2617", "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} 2025-09-07T10:54:06.5890030Z AUTOTUNE mm(7696x256, 256x256) 2025-09-07T10:54:06.5890390Z strides: [256, 1], [256, 1] 2025-09-07T10:54:06.5890714Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:06.5891505Z triton_mm_2617 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 2025-09-07T10:54:06.5892743Z triton_mm_2620 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 2025-09-07T10:54:06.5893765Z mm 0.0184 ms 88.9% 2025-09-07T10:54:06.5894484Z triton_mm_2614 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=3, num_warps=4 2025-09-07T10:54:06.5895679Z triton_mm_2616 0.0184 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:06.5897206Z triton_mm_2618 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 2025-09-07T10:54:06.5898416Z triton_mm_2621 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=3, num_warps=4 2025-09-07T10:54:06.5899618Z triton_mm_2611 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:54:06.5900817Z triton_mm_2615 0.0195 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:06.5901999Z triton_mm_2612 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 2025-09-07T10:54:06.5903033Z SingleProcess AUTOTUNE benchmarking takes 0.2685 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:54:06.8861763Z Autotune Choices Stats: 2025-09-07T10:54:06.8864259Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03174399957060814, "best_triton_pos": 1, "best_triton_time": 0.03276799991726875, "best_triton_kernel": "triton_mm_2652", "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"} 2025-09-07T10:54:06.8975617Z AUTOTUNE mm(7696x768, 768x256) 2025-09-07T10:54:06.8976165Z strides: [768, 1], [256, 1] 2025-09-07T10:54:06.8976652Z dtypes: torch.float16, torch.float16 2025-09-07T10:54:06.8977139Z mm 0.0317 ms 100.0% 2025-09-07T10:54:06.8978276Z triton_mm_2652 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 2025-09-07T10:54:06.8980328Z triton_mm_2653 0.0328 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:06.8982495Z triton_mm_2650 0.0338 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:06.8984545Z triton_mm_2657 0.0338 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:54:06.8987303Z triton_mm_2656 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 2025-09-07T10:54:06.8989496Z triton_mm_2651 0.0358 ms 88.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:54:06.8991796Z triton_mm_2654 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 2025-09-07T10:54:06.8994093Z triton_mm_2658 0.0369 ms 86.1% 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 2025-09-07T10:54:06.8996371Z triton_mm_2648 0.0379 ms 83.8% 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 2025-09-07T10:54:06.8998299Z SingleProcess AUTOTUNE benchmarking takes 0.3068 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:54:14.4736853Z W0907 10:54:14.472000 97848 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:54:45.9537801Z pass 2025-09-07T10:54:52.4286494Z /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. 2025-09-07T10:54:52.4288157Z import pynvml # type: ignore[import] 2025-09-07T10:54:55.7964763Z 2025-09-07T10:54:58.4490869Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:54:58.4491241Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:54:58.4491604Z cuda train pnasnet5large 2025-09-07T10:56:35.2601943Z Autotune Choices Stats: 2025-09-07T10:56:35.2603703Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.10342399775981903, "best_triton_pos": 1, "best_triton_time": 0.13312000036239624, "best_triton_kernel": "triton_convolution2d_0", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:56:35.2713899Z AUTOTUNE convolution(8x3x331x331, 96x3x3x3) 2025-09-07T10:56:35.2714314Z strides: [328683, 1, 993, 3], [27, 1, 9, 3] 2025-09-07T10:56:35.2714655Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:35.2714963Z convolution 0.1034 ms 100.0% 2025-09-07T10:56:35.2715863Z triton_convolution2d_0 0.1331 ms 77.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:56:35.2717381Z triton_convolution2d_3 0.1434 ms 72.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:56:35.2718865Z triton_convolution2d_4 0.1556 ms 66.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:56:35.2720338Z triton_convolution2d_5 0.1679 ms 61.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:56:35.2721817Z triton_convolution2d_6 0.1812 ms 57.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:56:35.2723685Z triton_convolution2d_2 0.1853 ms 55.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:56:35.2725165Z triton_convolution2d_1 0.3174 ms 32.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:56:35.2726335Z SingleProcess AUTOTUNE benchmarking takes 0.2574 seconds and 0.0005 seconds precompiling for 8 choices 2025-09-07T10:56:35.6541063Z Autotune Choices Stats: 2025-09-07T10:56:35.6542306Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_18", "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=4", "best_time": 0.06451199948787689, "best_triton_pos": 0} 2025-09-07T10:56:35.6654797Z AUTOTUNE mm(217800x96, 96x54) 2025-09-07T10:56:35.6655120Z strides: [96, 1], [1, 96] 2025-09-07T10:56:35.6655427Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:35.6656210Z triton_mm_18 0.0645 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 2025-09-07T10:56:35.6657805Z triton_mm_20 0.0645 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 2025-09-07T10:56:35.6659000Z triton_mm_23 0.0645 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:35.6660191Z triton_mm_17 0.0655 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:56:35.6661374Z triton_mm_21 0.0655 ms 98.4% 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 2025-09-07T10:56:35.6662548Z triton_mm_13 0.0666 ms 96.9% 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 2025-09-07T10:56:35.6663726Z triton_mm_14 0.0666 ms 96.9% 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 2025-09-07T10:56:35.6664974Z triton_mm_15 0.0666 ms 96.9% 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 2025-09-07T10:56:35.6666160Z triton_mm_16 0.0666 ms 96.9% 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 2025-09-07T10:56:35.6667339Z triton_mm_19 0.0666 ms 96.9% 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 2025-09-07T10:56:35.6668376Z SingleProcess AUTOTUNE benchmarking takes 0.3898 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:35.9781042Z Autotune Choices Stats: 2025-09-07T10:56:35.9782270Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_38", "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": 0.02252800017595291, "best_triton_pos": 0} 2025-09-07T10:56:35.9892000Z AUTOTUNE mm(55112x96, 96x54) 2025-09-07T10:56:35.9892284Z strides: [96, 1], [1, 96] 2025-09-07T10:56:35.9892575Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:35.9893590Z triton_mm_38 0.0225 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 2025-09-07T10:56:35.9895046Z triton_mm_31 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 2025-09-07T10:56:35.9896233Z triton_mm_34 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=3, num_warps=4 2025-09-07T10:56:35.9897404Z triton_mm_36 0.0246 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=4 2025-09-07T10:56:35.9898573Z triton_mm_41 0.0246 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:35.9899758Z triton_mm_32 0.0256 ms 88.0% 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 2025-09-07T10:56:35.9900938Z triton_mm_33 0.0256 ms 88.0% 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 2025-09-07T10:56:35.9902307Z triton_mm_35 0.0256 ms 88.0% 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 2025-09-07T10:56:35.9903493Z triton_mm_37 0.0256 ms 88.0% 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 2025-09-07T10:56:35.9904679Z triton_mm_39 0.0256 ms 88.0% 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 2025-09-07T10:56:35.9905781Z SingleProcess AUTOTUNE benchmarking takes 0.3228 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:56:36.2637857Z Autotune Choices Stats: 2025-09-07T10:56:36.2639070Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_51", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:56:36.2744581Z AUTOTUNE mm(55112x54, 54x54) 2025-09-07T10:56:36.2744962Z strides: [54, 1], [1, 54] 2025-09-07T10:56:36.2745259Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:36.2746032Z triton_mm_51 0.0174 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 2025-09-07T10:56:36.2747228Z triton_mm_54 0.0174 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 2025-09-07T10:56:36.2748427Z triton_mm_55 0.0174 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:56:36.2749611Z triton_mm_50 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:56:36.2750794Z triton_mm_59 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:36.2751980Z triton_mm_60 0.0184 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:56:36.2753162Z triton_mm_44 0.0195 ms 89.5% 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 2025-09-07T10:56:36.2754580Z triton_mm_47 0.0195 ms 89.5% 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 2025-09-07T10:56:36.2755766Z triton_mm_49 0.0205 ms 85.0% 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 2025-09-07T10:56:36.2756945Z triton_mm_52 0.0205 ms 85.0% 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 2025-09-07T10:56:36.2757953Z SingleProcess AUTOTUNE benchmarking takes 0.2844 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:56:36.4411175Z Autotune Choices Stats: 2025-09-07T10:56:36.4412518Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_260", "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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.026623999699950218, "best_triton_pos": 0} 2025-09-07T10:56:36.4518484Z AUTOTUNE convolution(8x54x165x165, 54x54x1x1) 2025-09-07T10:56:36.4518880Z strides: [1470150, 1, 8910, 54], [54, 1, 54, 54] 2025-09-07T10:56:36.4519486Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:36.4520404Z triton_convolution2d_260 0.0266 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:56:36.4521924Z triton_convolution2d_262 0.0266 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:56:36.4523432Z triton_convolution2d_263 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:56:36.4524915Z triton_convolution2d_259 0.0276 ms 96.3% 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 2025-09-07T10:56:36.4526392Z triton_convolution2d_264 0.0276 ms 96.3% 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=8 2025-09-07T10:56:36.4527868Z triton_convolution2d_265 0.0287 ms 92.9% 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 2025-09-07T10:56:36.4529364Z triton_convolution2d_261 0.0481 ms 55.3% 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 2025-09-07T10:56:36.4530267Z convolution 0.1516 ms 17.6% 2025-09-07T10:56:36.4530824Z SingleProcess AUTOTUNE benchmarking takes 0.1444 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:56:36.8679466Z Autotune Choices Stats: 2025-09-07T10:56:36.8681570Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_317", "best_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", "best_time": 0.05939200147986412, "best_triton_pos": 0} 2025-09-07T10:56:36.8793402Z AUTOTUNE mm(55112x270, 270x108) 2025-09-07T10:56:36.8793796Z strides: [270, 1], [1, 270] 2025-09-07T10:56:36.8794086Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:36.8796407Z triton_mm_317 0.0594 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 2025-09-07T10:56:36.8797181Z mm 0.0604 ms 98.3% 2025-09-07T10:56:36.8797880Z triton_mm_311 0.0676 ms 87.9% 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 2025-09-07T10:56:36.8799095Z triton_mm_314 0.0696 ms 85.3% 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 2025-09-07T10:56:36.8800285Z triton_mm_312 0.0727 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:56:36.8801486Z triton_mm_315 0.0727 ms 81.7% 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 2025-09-07T10:56:36.8802695Z triton_mm_316 0.0727 ms 81.7% 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=2, num_warps=8 2025-09-07T10:56:36.8803889Z triton_mm_308 0.0748 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:56:36.8805260Z triton_mm_313 0.0758 ms 78.4% 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 2025-09-07T10:56:36.8806457Z triton_mm_307 0.0768 ms 77.3% 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 2025-09-07T10:56:36.8807491Z SingleProcess AUTOTUNE benchmarking takes 0.4207 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:37.1434000Z Autotune Choices Stats: 2025-09-07T10:56:37.1435163Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_326", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:56:37.1542491Z AUTOTUNE mm(14112x108, 108x108) 2025-09-07T10:56:37.1542854Z strides: [108, 1], [1, 108] 2025-09-07T10:56:37.1543157Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:37.1543910Z triton_mm_326 0.0154 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 2025-09-07T10:56:37.1545173Z triton_mm_328 0.0154 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 2025-09-07T10:56:37.1546393Z triton_mm_324 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 2025-09-07T10:56:37.1547590Z triton_mm_325 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:56:37.1548783Z triton_mm_329 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=3, num_warps=4 2025-09-07T10:56:37.1549977Z triton_mm_332 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:37.1551170Z triton_mm_327 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 2025-09-07T10:56:37.1552571Z triton_mm_330 0.0174 ms 88.2% 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 2025-09-07T10:56:37.1553752Z triton_mm_331 0.0174 ms 88.2% 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 2025-09-07T10:56:37.1554961Z triton_mm_334 0.0174 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:56:37.1556002Z SingleProcess AUTOTUNE benchmarking takes 0.2742 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:37.3102669Z Autotune Choices Stats: 2025-09-07T10:56:37.3103990Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_540", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:56:37.3212373Z AUTOTUNE convolution(8x108x83x83, 108x108x1x1) 2025-09-07T10:56:37.3213455Z strides: [744012, 1, 8964, 108], [108, 1, 108, 108] 2025-09-07T10:56:37.3214040Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:37.3216126Z triton_convolution2d_540 0.0164 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 2025-09-07T10:56:37.3218825Z triton_convolution2d_541 0.0164 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:56:37.3221436Z triton_convolution2d_536 0.0174 ms 94.1% 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 2025-09-07T10:56:37.3224145Z triton_convolution2d_539 0.0184 ms 88.9% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:56:37.3227002Z triton_convolution2d_537 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 2025-09-07T10:56:37.3229685Z triton_convolution2d_542 0.0236 ms 69.6% 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 2025-09-07T10:56:37.3232302Z triton_convolution2d_538 0.0276 ms 59.3% 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 2025-09-07T10:56:37.3233945Z convolution 0.0911 ms 18.0% 2025-09-07T10:56:37.3234921Z SingleProcess AUTOTUNE benchmarking takes 0.1334 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:56:37.6163744Z Autotune Choices Stats: 2025-09-07T10:56:37.6165908Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_552", "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": 0.026623999699950218, "best_triton_pos": 0} 2025-09-07T10:56:37.6273748Z AUTOTUNE mm(14112x270, 270x108) 2025-09-07T10:56:37.6274351Z strides: [270, 1], [1, 270] 2025-09-07T10:56:37.6274881Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:37.6276283Z triton_mm_552 0.0266 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 2025-09-07T10:56:37.6278948Z triton_mm_548 0.0276 ms 96.3% 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 2025-09-07T10:56:37.6280285Z mm 0.0287 ms 92.9% 2025-09-07T10:56:37.6281535Z triton_mm_553 0.0287 ms 92.9% 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 2025-09-07T10:56:37.6283705Z triton_mm_555 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 2025-09-07T10:56:37.6285891Z triton_mm_558 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 2025-09-07T10:56:37.6288044Z triton_mm_556 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 2025-09-07T10:56:37.6290231Z triton_mm_554 0.0307 ms 86.7% 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 2025-09-07T10:56:37.6292740Z triton_mm_549 0.0317 ms 83.9% 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 2025-09-07T10:56:37.6295279Z triton_mm_550 0.0317 ms 83.9% 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 2025-09-07T10:56:37.6297108Z SingleProcess AUTOTUNE benchmarking takes 0.3054 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:37.9872822Z Autotune Choices Stats: 2025-09-07T10:56:37.9875088Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_588", "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": 0.048128001391887665, "best_triton_pos": 0} 2025-09-07T10:56:37.9987998Z AUTOTUNE mm(14112x540, 540x216) 2025-09-07T10:56:37.9988603Z strides: [540, 1], [1, 540] 2025-09-07T10:56:37.9989110Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:37.9990601Z triton_mm_588 0.0481 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 2025-09-07T10:56:37.9992918Z triton_mm_590 0.0492 ms 97.9% 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 2025-09-07T10:56:37.9995216Z triton_mm_591 0.0492 ms 97.9% 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 2025-09-07T10:56:37.9997539Z triton_mm_594 0.0502 ms 95.9% 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 2025-09-07T10:56:37.9999810Z triton_mm_585 0.0532 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:56:38.0002089Z triton_mm_592 0.0563 ms 85.5% 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 2025-09-07T10:56:38.0004363Z triton_mm_589 0.0614 ms 78.3% 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 2025-09-07T10:56:38.0006649Z triton_mm_586 0.0625 ms 77.0% 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 2025-09-07T10:56:38.0009326Z triton_mm_593 0.0625 ms 77.0% 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 2025-09-07T10:56:38.0011654Z triton_mm_595 0.0645 ms 74.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:38.0013988Z SingleProcess AUTOTUNE benchmarking takes 0.3675 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:38.3034789Z Autotune Choices Stats: 2025-09-07T10:56:38.3036937Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_613", "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": 0.027648000046610832, "best_triton_pos": 0} 2025-09-07T10:56:38.3152464Z AUTOTUNE mm(14112x216, 216x216) 2025-09-07T10:56:38.3153065Z strides: [216, 1], [1, 216] 2025-09-07T10:56:38.3153559Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:38.3154937Z triton_mm_613 0.0276 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 2025-09-07T10:56:38.3157625Z triton_mm_612 0.0287 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:38.3159843Z triton_mm_610 0.0297 ms 93.1% 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 2025-09-07T10:56:38.3162022Z triton_mm_611 0.0307 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=2, num_warps=8 2025-09-07T10:56:38.3163318Z mm 0.0328 ms 84.4% 2025-09-07T10:56:38.3164514Z triton_mm_609 0.0328 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:38.3166689Z triton_mm_614 0.0328 ms 84.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:56:38.3168870Z triton_mm_608 0.0338 ms 81.8% 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 2025-09-07T10:56:38.3171032Z triton_mm_604 0.0348 ms 79.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:56:38.3173635Z triton_mm_600 0.0369 ms 75.0% 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 2025-09-07T10:56:38.3175535Z SingleProcess AUTOTUNE benchmarking takes 0.3157 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:38.8047100Z Autotune Choices Stats: 2025-09-07T10:56:38.8049794Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.07372800260782242, "best_triton_pos": 1, "best_triton_time": 0.07884799689054489, "best_triton_kernel": "triton_mm_847", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:56:38.8163280Z AUTOTUNE mm(14112x1080, 1080x216) 2025-09-07T10:56:38.8163889Z strides: [1080, 1], [1, 1080] 2025-09-07T10:56:38.8164387Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:38.8164916Z mm 0.0737 ms 100.0% 2025-09-07T10:56:38.8166663Z triton_mm_847 0.0788 ms 93.5% 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 2025-09-07T10:56:38.8168889Z triton_mm_842 0.0799 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 2025-09-07T10:56:38.8171145Z triton_mm_846 0.0881 ms 83.7% 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 2025-09-07T10:56:38.8173529Z triton_mm_838 0.0922 ms 80.0% 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 2025-09-07T10:56:38.8175720Z triton_mm_848 0.0922 ms 80.0% 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 2025-09-07T10:56:38.8177945Z triton_mm_844 0.0942 ms 78.3% 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 2025-09-07T10:56:38.8180172Z triton_mm_841 0.0973 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:56:38.8182727Z triton_mm_843 0.0973 ms 75.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:38.8185000Z triton_mm_839 0.1044 ms 70.6% 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 2025-09-07T10:56:38.8186879Z SingleProcess AUTOTUNE benchmarking takes 0.4638 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:39.5268718Z Autotune Choices Stats: 2025-09-07T10:56:39.5271553Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.10239999741315842, "best_triton_pos": 1, "best_triton_time": 0.11366400122642517, "best_triton_kernel": "triton_mm_1585", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:56:39.5386051Z AUTOTUNE mm(14112x1080, 1080x432) 2025-09-07T10:56:39.5386667Z strides: [1080, 1], [1, 1080] 2025-09-07T10:56:39.5387169Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:39.5387678Z mm 0.1024 ms 100.0% 2025-09-07T10:56:39.5388983Z triton_mm_1585 0.1137 ms 90.1% 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 2025-09-07T10:56:39.5391237Z triton_mm_1584 0.1198 ms 85.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:39.5393520Z triton_mm_1580 0.1362 ms 75.2% 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 2025-09-07T10:56:39.5395785Z triton_mm_1582 0.1393 ms 73.5% 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 2025-09-07T10:56:39.5398026Z triton_mm_1581 0.1403 ms 73.0% 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 2025-09-07T10:56:39.5400269Z triton_mm_1586 0.1444 ms 70.9% 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 2025-09-07T10:56:39.5402537Z triton_mm_1576 0.1454 ms 70.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:56:39.5405175Z triton_mm_1583 0.1556 ms 65.8% 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 2025-09-07T10:56:39.5407446Z triton_mm_1579 0.1587 ms 64.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:56:39.5409383Z SingleProcess AUTOTUNE benchmarking takes 0.5851 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:39.8226469Z Autotune Choices Stats: 2025-09-07T10:56:39.8228685Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1617", "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": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:56:39.8350013Z AUTOTUNE mm(3528x432, 432x432) 2025-09-07T10:56:39.8350611Z strides: [432, 1], [1, 432] 2025-09-07T10:56:39.8351132Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:39.8352594Z triton_mm_1617 0.0184 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 2025-09-07T10:56:39.8355333Z triton_mm_1618 0.0195 ms 94.7% 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 2025-09-07T10:56:39.8357641Z triton_mm_1611 0.0215 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 2025-09-07T10:56:39.8359893Z triton_mm_1612 0.0215 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 2025-09-07T10:56:39.8362132Z triton_mm_1616 0.0225 ms 81.8% 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 2025-09-07T10:56:39.8363517Z mm 0.0236 ms 78.3% 2025-09-07T10:56:39.8364834Z triton_mm_1621 0.0236 ms 78.3% 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 2025-09-07T10:56:39.8367110Z triton_mm_1614 0.0246 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 2025-09-07T10:56:39.8369400Z triton_mm_1620 0.0246 ms 75.0% 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 2025-09-07T10:56:39.8371699Z triton_mm_1615 0.0256 ms 72.0% 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 2025-09-07T10:56:39.8374025Z SingleProcess AUTOTUNE benchmarking takes 0.2863 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:39.9978229Z Autotune Choices Stats: 2025-09-07T10:56:39.9980741Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_1825", "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": 0.02252800017595291, "best_triton_pos": 0} 2025-09-07T10:56:40.0094980Z AUTOTUNE convolution(8x432x42x42, 432x432x1x1) 2025-09-07T10:56:40.0095747Z strides: [762048, 1, 18144, 432], [432, 1, 432, 432] 2025-09-07T10:56:40.0096412Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:40.0098158Z triton_convolution2d_1825 0.0225 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 2025-09-07T10:56:40.0101446Z triton_convolution2d_1824 0.0276 ms 81.5% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:56:40.0104343Z triton_convolution2d_1827 0.0276 ms 81.5% 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 2025-09-07T10:56:40.0107301Z triton_convolution2d_1826 0.0287 ms 78.6% 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 2025-09-07T10:56:40.0109042Z convolution 0.0307 ms 73.3% 2025-09-07T10:56:40.0110705Z triton_convolution2d_1821 0.0358 ms 62.9% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:56:40.0113594Z triton_convolution2d_1822 0.0358 ms 62.9% 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 2025-09-07T10:56:40.0116751Z triton_convolution2d_1823 0.0553 ms 40.7% 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 2025-09-07T10:56:40.0119024Z SingleProcess AUTOTUNE benchmarking takes 0.1400 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:56:40.3301269Z Autotune Choices Stats: 2025-09-07T10:56:40.3303843Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.027648000046610832, "best_triton_pos": 1, "best_triton_time": 0.030719999223947525, "best_triton_kernel": "triton_mm_1844", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:56:40.3418298Z AUTOTUNE mm(3528x1080, 1080x216) 2025-09-07T10:56:40.3418845Z strides: [1080, 1], [1, 1080] 2025-09-07T10:56:40.3419339Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:40.3419835Z mm 0.0276 ms 100.0% 2025-09-07T10:56:40.3421072Z triton_mm_1844 0.0307 ms 90.0% 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 2025-09-07T10:56:40.3423281Z triton_mm_1839 0.0338 ms 81.8% 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 2025-09-07T10:56:40.3425545Z triton_mm_1843 0.0348 ms 79.4% 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 2025-09-07T10:56:40.3427665Z triton_mm_1845 0.0348 ms 79.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:56:40.3429881Z triton_mm_1840 0.0358 ms 77.1% 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 2025-09-07T10:56:40.3431987Z triton_mm_1835 0.0379 ms 73.0% 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 2025-09-07T10:56:40.3434126Z triton_mm_1836 0.0389 ms 71.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:56:40.3436750Z triton_mm_1831 0.0410 ms 67.5% 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 2025-09-07T10:56:40.3438831Z triton_mm_1832 0.0410 ms 67.5% 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 2025-09-07T10:56:40.3440735Z SingleProcess AUTOTUNE benchmarking takes 0.3317 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:40.7435649Z Autotune Choices Stats: 2025-09-07T10:56:40.7438387Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.053247999399900436, "best_triton_pos": 1, "best_triton_time": 0.058368001133203506, "best_triton_kernel": "triton_mm_1876", "best_triton_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"} 2025-09-07T10:56:40.7552958Z AUTOTUNE mm(3528x2160, 2160x432) 2025-09-07T10:56:40.7553552Z strides: [2160, 1], [1, 2160] 2025-09-07T10:56:40.7554073Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:40.7554614Z mm 0.0532 ms 100.0% 2025-09-07T10:56:40.7556032Z triton_mm_1876 0.0584 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:40.7558733Z triton_mm_1877 0.0635 ms 83.9% 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 2025-09-07T10:56:40.7560958Z triton_mm_1871 0.0655 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 2025-09-07T10:56:40.7563181Z triton_mm_1872 0.0686 ms 77.6% 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 2025-09-07T10:56:40.7565328Z triton_mm_1875 0.0686 ms 77.6% 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 2025-09-07T10:56:40.7567548Z triton_mm_1873 0.0748 ms 71.2% 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 2025-09-07T10:56:40.7569791Z triton_mm_1870 0.0778 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:56:40.7571990Z triton_mm_1880 0.0778 ms 68.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:40.7574573Z triton_mm_1879 0.0809 ms 65.8% 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 2025-09-07T10:56:40.7576503Z SingleProcess AUTOTUNE benchmarking takes 0.4032 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:41.3811210Z Autotune Choices Stats: 2025-09-07T10:56:41.3814343Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.08294399827718735, "best_triton_pos": 1, "best_triton_time": 0.08294399827718735, "best_triton_kernel": "triton_mm_2618", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:56:41.3930517Z AUTOTUNE mm(3528x2160, 2160x864) 2025-09-07T10:56:41.3931099Z strides: [2160, 1], [1, 2160] 2025-09-07T10:56:41.3931602Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:41.3932133Z mm 0.0829 ms 100.0% 2025-09-07T10:56:41.3933641Z triton_mm_2618 0.0829 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 2025-09-07T10:56:41.3936333Z triton_mm_2617 0.0870 ms 95.3% 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 2025-09-07T10:56:41.3938571Z triton_mm_2613 0.0901 ms 92.0% 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 2025-09-07T10:56:41.3940776Z triton_mm_2614 0.0963 ms 86.2% 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 2025-09-07T10:56:41.3942989Z triton_mm_2619 0.1044 ms 79.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:56:41.3945207Z triton_mm_2616 0.1055 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:56:41.3947464Z triton_mm_2612 0.1065 ms 77.9% 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 2025-09-07T10:56:41.3949979Z triton_mm_2611 0.1075 ms 77.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:41.3952211Z triton_mm_2615 0.1126 ms 73.6% 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 2025-09-07T10:56:41.3954100Z SingleProcess AUTOTUNE benchmarking takes 0.4973 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:41.6822532Z Autotune Choices Stats: 2025-09-07T10:56:41.6825270Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_mm_2647", "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"} 2025-09-07T10:56:41.6940236Z AUTOTUNE mm(968x864, 864x864) 2025-09-07T10:56:41.6940834Z strides: [864, 1], [1, 864] 2025-09-07T10:56:41.6941332Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:41.6941856Z mm 0.0205 ms 100.0% 2025-09-07T10:56:41.6943114Z triton_mm_2647 0.0236 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:41.6945386Z triton_mm_2650 0.0236 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:41.6947593Z triton_mm_2649 0.0246 ms 83.3% 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 2025-09-07T10:56:41.6949760Z triton_mm_2654 0.0246 ms 83.3% 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 2025-09-07T10:56:41.6951947Z triton_mm_2645 0.0256 ms 80.0% 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 2025-09-07T10:56:41.6954143Z triton_mm_2648 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 2025-09-07T10:56:41.6956328Z triton_mm_2651 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 2025-09-07T10:56:41.6958950Z triton_mm_2653 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 2025-09-07T10:56:41.6961174Z triton_mm_2655 0.0266 ms 76.9% 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 2025-09-07T10:56:41.6963084Z SingleProcess AUTOTUNE benchmarking takes 0.2900 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:41.9053258Z Autotune Choices Stats: 2025-09-07T10:56:41.9056337Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.028672000393271446, "best_triton_pos": 1, "best_triton_time": 0.03174399957060814, "best_triton_kernel": "triton_convolution2d_2858", "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"} 2025-09-07T10:56:41.9169951Z AUTOTUNE convolution(8x864x21x21, 864x864x1x1) 2025-09-07T10:56:41.9170659Z strides: [381024, 1, 18144, 864], [864, 1, 864, 864] 2025-09-07T10:56:41.9171286Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:41.9171839Z convolution 0.0287 ms 100.0% 2025-09-07T10:56:41.9173943Z triton_convolution2d_2858 0.0317 ms 90.3% 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 2025-09-07T10:56:41.9176768Z triton_convolution2d_2857 0.0399 ms 71.8% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:56:41.9179542Z triton_convolution2d_2859 0.0430 ms 66.7% 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 2025-09-07T10:56:41.9182302Z triton_convolution2d_2860 0.0430 ms 66.7% 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 2025-09-07T10:56:41.9185136Z triton_convolution2d_2854 0.0502 ms 57.1% 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 2025-09-07T10:56:41.9187892Z triton_convolution2d_2855 0.0532 ms 53.8% 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 2025-09-07T10:56:41.9190567Z triton_convolution2d_2856 0.0983 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 2025-09-07T10:56:41.9192759Z SingleProcess AUTOTUNE benchmarking takes 0.1497 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:56:42.2446331Z Autotune Choices Stats: 2025-09-07T10:56:42.2449071Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.03174399957060814, "best_triton_kernel": "triton_mm_2872", "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"} 2025-09-07T10:56:42.2564224Z AUTOTUNE mm(968x2160, 2160x432) 2025-09-07T10:56:42.2564805Z strides: [2160, 1], [1, 2160] 2025-09-07T10:56:42.2565310Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:42.2565843Z mm 0.0236 ms 100.0% 2025-09-07T10:56:42.2567140Z triton_mm_2872 0.0317 ms 74.2% 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 2025-09-07T10:56:42.2569778Z triton_mm_2871 0.0348 ms 67.6% 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 2025-09-07T10:56:42.2572015Z triton_mm_2862 0.0358 ms 65.7% 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 2025-09-07T10:56:42.2574530Z triton_mm_2868 0.0358 ms 65.7% 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 2025-09-07T10:56:42.2576746Z triton_mm_2869 0.0358 ms 65.7% 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 2025-09-07T10:56:42.2578892Z triton_mm_2874 0.0399 ms 59.0% 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 2025-09-07T10:56:42.2581101Z triton_mm_2870 0.0451 ms 52.3% 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 2025-09-07T10:56:42.2583634Z triton_mm_2873 0.0451 ms 52.3% 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 2025-09-07T10:56:42.2585964Z triton_mm_2877 0.0461 ms 51.1% 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 2025-09-07T10:56:42.2587857Z SingleProcess AUTOTUNE benchmarking takes 0.3345 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:42.6907875Z Autotune Choices Stats: 2025-09-07T10:56:42.6910577Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.05734400078654289, "best_triton_pos": 1, "best_triton_time": 0.08089599758386612, "best_triton_kernel": "triton_mm_2913", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:56:42.7033056Z AUTOTUNE mm(968x4320, 4320x864) 2025-09-07T10:56:42.7033635Z strides: [4320, 1], [1, 4320] 2025-09-07T10:56:42.7034135Z dtypes: torch.float16, torch.float16 2025-09-07T10:56:42.7034692Z mm 0.0573 ms 100.0% 2025-09-07T10:56:42.7035990Z triton_mm_2913 0.0809 ms 70.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:42.7038238Z triton_mm_2908 0.0819 ms 70.0% 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 2025-09-07T10:56:42.7040370Z triton_mm_2909 0.0860 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:42.7042538Z triton_mm_2904 0.0870 ms 65.9% 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 2025-09-07T10:56:42.7044743Z triton_mm_2905 0.0870 ms 65.9% 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 2025-09-07T10:56:42.7046939Z triton_mm_2901 0.0901 ms 63.6% 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 2025-09-07T10:56:42.7049120Z triton_mm_2906 0.0901 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 2025-09-07T10:56:42.7051703Z triton_mm_2914 0.0911 ms 62.9% 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 2025-09-07T10:56:42.7054288Z triton_mm_2912 0.0963 ms 59.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:56:42.7056098Z SingleProcess AUTOTUNE benchmarking takes 0.4360 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:56:43.3304967Z Autotune Choices Stats: 2025-09-07T10:56:43.3307047Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_3639", "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": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:56:43.3425981Z AUTOTUNE addmm(8x1000, 8x4320, 4320x1000) 2025-09-07T10:56:43.3426618Z strides: [0, 1], [4320, 1], [1, 4320] 2025-09-07T10:56:43.3427239Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:56:43.3428645Z triton_mm_3639 0.0215 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 2025-09-07T10:56:43.3430057Z bias_addmm 0.0236 ms 91.3% 2025-09-07T10:56:43.3431868Z triton_mm_3643 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:56:43.3433276Z addmm 0.0276 ms 77.8% 2025-09-07T10:56:43.3434566Z triton_mm_3647 0.0307 ms 70.0% 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 2025-09-07T10:56:43.3436775Z triton_mm_3651 0.0338 ms 63.6% 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 2025-09-07T10:56:43.3438956Z triton_mm_3638 0.0379 ms 56.8% 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 2025-09-07T10:56:43.3441135Z triton_mm_3637 0.0389 ms 55.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:56:43.3443257Z triton_mm_3642 0.0420 ms 51.2% 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 2025-09-07T10:56:43.3445415Z triton_mm_3636 0.0440 ms 48.8% 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 2025-09-07T10:56:43.3447318Z SingleProcess AUTOTUNE benchmarking takes 0.3765 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:58:46.6085170Z Autotune Choices Stats: 2025-09-07T10:58:46.6086427Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_3669", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:58:46.6207633Z AUTOTUNE mm(1000x8, 8x4320) 2025-09-07T10:58:46.6207941Z strides: [1, 1000], [4320, 1] 2025-09-07T10:58:46.6208245Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:46.6209023Z triton_mm_3669 0.0123 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 2025-09-07T10:58:46.6210249Z triton_mm_3673 0.0123 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 2025-09-07T10:58:46.6211852Z triton_mm_3670 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=2, num_warps=4 2025-09-07T10:58:46.6213321Z triton_mm_3671 0.0133 ms 92.3% 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 2025-09-07T10:58:46.6214513Z triton_mm_3672 0.0133 ms 92.3% 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 2025-09-07T10:58:46.6215712Z triton_mm_3674 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 2025-09-07T10:58:46.6216913Z triton_mm_3675 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=3, num_warps=8 2025-09-07T10:58:46.6218114Z triton_mm_3676 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=5, num_warps=4 2025-09-07T10:58:46.6219502Z triton_mm_3677 0.0133 ms 92.3% 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 2025-09-07T10:58:46.6220715Z triton_mm_3678 0.0133 ms 92.3% 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 2025-09-07T10:58:46.6221763Z SingleProcess AUTOTUNE benchmarking takes 0.2372 seconds and 0.0006 seconds precompiling for 17 choices 2025-09-07T10:58:47.7520858Z Autotune Choices Stats: 2025-09-07T10:58:47.7522110Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_3660", "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": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:58:47.7640800Z AUTOTUNE mm(8x1000, 1000x4320) 2025-09-07T10:58:47.7641130Z strides: [1000, 1], [4320, 1] 2025-09-07T10:58:47.7641435Z dtypes: torch.float16, torch.float16 2025-09-07T10:58:47.7642219Z triton_mm_3660 0.0174 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 2025-09-07T10:58:47.7643457Z triton_mm_3664 0.0174 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 2025-09-07T10:58:47.7644682Z triton_mm_3668 0.0174 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 2025-09-07T10:58:47.7645898Z triton_mm_3654 0.0184 ms 94.4% 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=5, num_warps=4 2025-09-07T10:58:47.7646649Z mm 0.0195 ms 89.5% 2025-09-07T10:58:47.7647348Z triton_mm_3655 0.0195 ms 89.5% 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 2025-09-07T10:58:47.7648554Z triton_mm_3656 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:58:47.7649748Z triton_mm_3659 0.0195 ms 89.5% 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 2025-09-07T10:58:47.7650947Z triton_mm_3662 0.0195 ms 89.5% 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 2025-09-07T10:58:47.7652477Z triton_mm_3663 0.0195 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:58:47.7653774Z SingleProcess AUTOTUNE benchmarking takes 0.2686 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T11:00:09.6294765Z pass 2025-09-07T11:00:19.4323757Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T11:00:19.4326379Z import pynvml # type: ignore[import] 2025-09-07T11:00:22.8307819Z 2025-09-07T11:00:24.6910116Z loading model: 0it [00:00, ?it/s] 2025-09-07T11:00:24.6910766Z loading model: 0it [00:01, ?it/s] 2025-09-07T11:00:24.6911348Z cuda train poolformer_m36 2025-09-07T11:01:10.8647506Z Autotune Choices Stats: 2025-09-07T11:01:10.8649112Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_19", "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": 0.03276799991726875, "best_triton_pos": 0} 2025-09-07T11:01:10.8771168Z AUTOTUNE addmm(25088x384, 25088x96, 96x384) 2025-09-07T11:01:10.8771553Z strides: [0, 1], [96, 1], [1, 96] 2025-09-07T11:01:10.8771910Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:01:10.8772738Z triton_mm_19 0.0328 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 2025-09-07T11:01:10.8774067Z triton_mm_20 0.0328 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 2025-09-07T11:01:10.8775263Z triton_mm_16 0.0338 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:10.8776453Z triton_mm_17 0.0338 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:01:10.8777642Z triton_mm_22 0.0338 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:10.8778842Z triton_mm_23 0.0348 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 2025-09-07T11:01:10.8780023Z triton_mm_13 0.0358 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T11:01:10.8781203Z triton_mm_18 0.0358 ms 91.4% 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 2025-09-07T11:01:10.8781957Z bias_addmm 0.0389 ms 84.2% 2025-09-07T11:01:10.8782669Z triton_mm_15 0.0389 ms 84.2% 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 2025-09-07T11:01:10.8783698Z SingleProcess AUTOTUNE benchmarking takes 0.3623 seconds and 0.0005 seconds precompiling for 20 choices 2025-09-07T11:01:11.6409736Z Autotune Choices Stats: 2025-09-07T11:01:11.6410960Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_239", "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": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T11:01:11.6543894Z AUTOTUNE addmm(6272x768, 6272x192, 192x768) 2025-09-07T11:01:11.6544281Z strides: [0, 1], [192, 1], [1, 192] 2025-09-07T11:01:11.6544642Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:01:11.6545576Z triton_mm_239 0.0246 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 2025-09-07T11:01:11.6546797Z triton_mm_242 0.0246 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 2025-09-07T11:01:11.6548003Z triton_mm_245 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 2025-09-07T11:01:11.6549215Z triton_mm_246 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 2025-09-07T11:01:11.6549990Z bias_addmm 0.0256 ms 96.0% 2025-09-07T11:01:11.6550712Z triton_mm_236 0.0266 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T11:01:11.6552182Z triton_mm_240 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=4, num_warps=8 2025-09-07T11:01:11.6553380Z triton_mm_241 0.0266 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 2025-09-07T11:01:11.6554567Z triton_mm_243 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=4, num_warps=8 2025-09-07T11:01:11.6555760Z triton_mm_237 0.0297 ms 82.8% 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 2025-09-07T11:01:11.6556787Z SingleProcess AUTOTUNE benchmarking takes 0.3547 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T11:01:12.4002728Z Autotune Choices Stats: 2025-09-07T11:01:12.4003978Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_41", "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": 0.03276799991726875, "best_triton_pos": 0} 2025-09-07T11:01:12.4120794Z AUTOTUNE addmm(25088x96, 25088x384, 384x96) 2025-09-07T11:01:12.4121182Z strides: [0, 1], [384, 1], [1, 384] 2025-09-07T11:01:12.4121544Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:01:12.4122418Z triton_mm_41 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 2025-09-07T11:01:12.4130815Z triton_mm_36 0.0338 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:12.4131640Z bias_addmm 0.0358 ms 91.4% 2025-09-07T11:01:12.4132375Z triton_mm_42 0.0358 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T11:01:12.4133851Z triton_mm_40 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=3, num_warps=4 2025-09-07T11:01:12.4135045Z triton_mm_35 0.0389 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:01:12.4136537Z triton_mm_32 0.0399 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T11:01:12.4137716Z triton_mm_38 0.0399 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:01:12.4138908Z triton_mm_34 0.0420 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:12.4140086Z triton_mm_37 0.0420 ms 78.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:12.4141104Z SingleProcess AUTOTUNE benchmarking takes 0.3582 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T11:01:13.3243048Z Autotune Choices Stats: 2025-09-07T11:01:13.3244613Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.020479999482631683, "best_triton_kernel": "triton_mm_462", "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"} 2025-09-07T11:01:13.3366240Z AUTOTUNE addmm(1568x1536, 1568x384, 384x1536) 2025-09-07T11:01:13.3366635Z strides: [0, 1], [384, 1], [1, 384] 2025-09-07T11:01:13.3367024Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:01:13.3367386Z bias_addmm 0.0195 ms 100.0% 2025-09-07T11:01:13.3368140Z triton_mm_462 0.0205 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 2025-09-07T11:01:13.3369341Z triton_mm_465 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:13.3370567Z triton_mm_464 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:13.3371776Z triton_mm_468 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:13.3373297Z triton_mm_469 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:13.3374497Z triton_mm_463 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 2025-09-07T11:01:13.3375702Z triton_mm_466 0.0236 ms 82.6% 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 2025-09-07T11:01:13.3376887Z triton_mm_460 0.0266 ms 73.1% 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 2025-09-07T11:01:13.3378089Z triton_mm_470 0.0266 ms 73.1% 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 2025-09-07T11:01:13.3379130Z SingleProcess AUTOTUNE benchmarking takes 0.3403 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T11:01:14.5717324Z Autotune Choices Stats: 2025-09-07T11:01:14.5718558Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_265", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T11:01:14.5839696Z AUTOTUNE addmm(6272x192, 6272x768, 768x192) 2025-09-07T11:01:14.5840042Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T11:01:14.5840401Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:01:14.5841257Z triton_mm_265 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=5, num_warps=8 2025-09-07T11:01:14.5842464Z triton_mm_255 0.0256 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T11:01:14.5843634Z triton_mm_259 0.0256 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:14.5844828Z triton_mm_264 0.0256 ms 96.0% 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 2025-09-07T11:01:14.5845597Z bias_addmm 0.0266 ms 92.3% 2025-09-07T11:01:14.5846317Z triton_mm_257 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 2025-09-07T11:01:14.5847791Z triton_mm_258 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=4, num_warps=8 2025-09-07T11:01:14.5848988Z triton_mm_260 0.0287 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 2025-09-07T11:01:14.5850175Z triton_mm_261 0.0287 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 2025-09-07T11:01:14.5851352Z triton_mm_256 0.0297 ms 82.8% 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 2025-09-07T11:01:14.5852374Z SingleProcess AUTOTUNE benchmarking takes 0.3415 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T11:01:15.5260840Z Autotune Choices Stats: 2025-09-07T11:01:15.5262432Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.02252800017595291, "best_triton_kernel": "triton_mm_1119", "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"} 2025-09-07T11:01:15.5387967Z AUTOTUNE addmm(392x3072, 392x768, 768x3072) 2025-09-07T11:01:15.5388323Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T11:01:15.5388689Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:01:15.5389062Z bias_addmm 0.0215 ms 100.0% 2025-09-07T11:01:15.5389801Z triton_mm_1119 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 2025-09-07T11:01:15.5391027Z triton_mm_1125 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 2025-09-07T11:01:15.5392239Z triton_mm_1124 0.0236 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:15.5393423Z triton_mm_1117 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 2025-09-07T11:01:15.5394609Z triton_mm_1118 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:01:15.5396171Z triton_mm_1120 0.0246 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:15.5397378Z triton_mm_1121 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 2025-09-07T11:01:15.5398584Z triton_mm_1123 0.0256 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:15.5399353Z addmm 0.0297 ms 72.4% 2025-09-07T11:01:15.5399894Z SingleProcess AUTOTUNE benchmarking takes 0.3451 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T11:01:16.5226430Z Autotune Choices Stats: 2025-09-07T11:01:16.5228000Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.021503999829292297, "best_triton_pos": 2, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_482", "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"} 2025-09-07T11:01:16.5350088Z AUTOTUNE addmm(1568x384, 1568x1536, 1536x384) 2025-09-07T11:01:16.5350469Z strides: [0, 1], [1536, 1], [1, 1536] 2025-09-07T11:01:16.5350814Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:01:16.5351184Z bias_addmm 0.0215 ms 100.0% 2025-09-07T11:01:16.5351463Z addmm 0.0246 ms 87.5% 2025-09-07T11:01:16.5352175Z triton_mm_482 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 2025-09-07T11:01:16.5353354Z triton_mm_478 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 2025-09-07T11:01:16.5354545Z triton_mm_479 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 2025-09-07T11:01:16.5355732Z triton_mm_481 0.0276 ms 77.8% 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 2025-09-07T11:01:16.5356917Z triton_mm_484 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=4, num_warps=8 2025-09-07T11:01:16.5358097Z triton_mm_475 0.0317 ms 67.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:01:16.5359286Z triton_mm_483 0.0348 ms 61.8% 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 2025-09-07T11:01:16.5360478Z triton_mm_487 0.0348 ms 61.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T11:01:16.5361500Z SingleProcess AUTOTUNE benchmarking takes 0.3559 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T11:01:18.0313255Z Autotune Choices Stats: 2025-09-07T11:01:18.0314506Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "triton_mm_1134", "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": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T11:01:18.0434453Z AUTOTUNE addmm(392x768, 392x3072, 3072x768) 2025-09-07T11:01:18.0435239Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T11:01:18.0435606Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:01:18.0436429Z triton_mm_1134 0.0246 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 2025-09-07T11:01:18.0437210Z bias_addmm 0.0287 ms 85.7% 2025-09-07T11:01:18.0437490Z addmm 0.0287 ms 85.7% 2025-09-07T11:01:18.0438210Z triton_mm_1133 0.0369 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 2025-09-07T11:01:18.0439409Z triton_mm_1127 0.0389 ms 63.2% 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 2025-09-07T11:01:18.0440609Z triton_mm_1137 0.0399 ms 61.5% 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 2025-09-07T11:01:18.0441791Z triton_mm_1128 0.0451 ms 54.5% 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 2025-09-07T11:01:18.0442981Z triton_mm_1129 0.0451 ms 54.5% 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 2025-09-07T11:01:18.0444343Z triton_mm_1136 0.0451 ms 54.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:01:18.0445549Z triton_mm_1130 0.0461 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T11:01:18.0446583Z SingleProcess AUTOTUNE benchmarking takes 0.3893 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T11:01:20.8652076Z Autotune Choices Stats: 2025-09-07T11:01:20.8655429Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04710400104522705, "best_triton_pos": 1, "best_triton_time": 0.09830400347709656, "best_triton_kernel": "triton_convolution2d_5", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=2, PADDING_W=2, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T11:01:20.8783659Z AUTOTUNE convolution(8x3x224x224, 96x3x7x7) 2025-09-07T11:01:20.8784046Z strides: [150528, 1, 672, 3], [147, 1, 21, 3] 2025-09-07T11:01:20.8784401Z dtypes: torch.float16, torch.float16 2025-09-07T11:01:20.8784720Z convolution 0.0471 ms 100.0% 2025-09-07T11:01:20.8785671Z triton_convolution2d_5 0.0983 ms 47.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=2, PADDING_W=2, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T11:01:20.8787199Z triton_convolution2d_3 0.1065 ms 44.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=2, PADDING_W=2, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T11:01:20.8788694Z triton_convolution2d_4 0.1157 ms 40.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=2, PADDING_W=2, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T11:01:20.8790152Z triton_convolution2d_0 0.1198 ms 39.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=2, PADDING_W=2, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T11:01:20.8791625Z triton_convolution2d_2 0.1393 ms 33.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=2, PADDING_W=2, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T11:01:20.8793468Z triton_convolution2d_6 0.1536 ms 30.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=2, PADDING_W=2, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T11:01:20.8794953Z triton_convolution2d_1 0.3901 ms 12.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=2, PADDING_W=2, STRIDE_H=4, STRIDE_W=4, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T11:01:20.8796117Z SingleProcess AUTOTUNE benchmarking takes 0.2223 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T11:01:21.0246523Z Autotune Choices Stats: 2025-09-07T11:01:21.0248221Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.027648000046610832, "best_triton_pos": 1, "best_triton_time": 0.030719999223947525, "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=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T11:01:21.0372296Z AUTOTUNE convolution(8x96x56x56, 192x96x3x3) 2025-09-07T11:01:21.0372720Z strides: [301056, 1, 5376, 96], [864, 1, 288, 96] 2025-09-07T11:01:21.0373336Z dtypes: torch.float16, torch.float16 2025-09-07T11:01:21.0373646Z convolution 0.0276 ms 100.0% 2025-09-07T11:01:21.0374949Z triton_convolution2d_227 0.0307 ms 90.0% 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 2025-09-07T11:01:21.0376456Z triton_convolution2d_226 0.0440 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 2025-09-07T11:01:21.0377955Z triton_convolution2d_228 0.0451 ms 61.4% 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 2025-09-07T11:01:21.0379463Z triton_convolution2d_229 0.0461 ms 60.0% 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 2025-09-07T11:01:21.0380956Z triton_convolution2d_224 0.0563 ms 49.1% 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 2025-09-07T11:01:21.0382445Z triton_convolution2d_223 0.0584 ms 47.4% 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 2025-09-07T11:01:21.0383943Z triton_convolution2d_225 0.1034 ms 26.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T11:01:21.0385197Z SingleProcess AUTOTUNE benchmarking takes 0.1569 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T11:01:21.2175619Z Autotune Choices Stats: 2025-09-07T11:01:21.2178769Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.026623999699950218, "best_triton_pos": 1, "best_triton_time": 0.053247999399900436, "best_triton_kernel": "triton_convolution2d_450", "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"} 2025-09-07T11:01:21.2302933Z AUTOTUNE convolution(8x192x28x28, 384x192x3x3) 2025-09-07T11:01:21.2303374Z strides: [150528, 1, 5376, 192], [1728, 1, 576, 192] 2025-09-07T11:01:21.2303742Z dtypes: torch.float16, torch.float16 2025-09-07T11:01:21.2304061Z convolution 0.0266 ms 100.0% 2025-09-07T11:01:21.2306816Z triton_convolution2d_450 0.0532 ms 50.0% 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 2025-09-07T11:01:21.2308334Z triton_convolution2d_449 0.0778 ms 34.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T11:01:21.2309821Z triton_convolution2d_452 0.0809 ms 32.9% 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 2025-09-07T11:01:21.2311318Z triton_convolution2d_451 0.0819 ms 32.5% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T11:01:21.2312818Z triton_convolution2d_447 0.1034 ms 25.7% 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 2025-09-07T11:01:21.2314460Z triton_convolution2d_446 0.1055 ms 25.2% 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 2025-09-07T11:01:21.2315960Z triton_convolution2d_448 0.1884 ms 14.1% 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 2025-09-07T11:01:21.2317145Z SingleProcess AUTOTUNE benchmarking takes 0.1911 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T11:01:21.4850897Z Autotune Choices Stats: 2025-09-07T11:01:21.4852598Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.09932799637317657, "best_triton_kernel": "triton_convolution2d_1105", "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"} 2025-09-07T11:01:21.4976900Z AUTOTUNE convolution(8x384x14x14, 768x384x3x3) 2025-09-07T11:01:21.4977327Z strides: [75264, 1, 5376, 384], [3456, 1, 1152, 384] 2025-09-07T11:01:21.4977698Z dtypes: torch.float16, torch.float16 2025-09-07T11:01:21.4978007Z convolution 0.0256 ms 100.0% 2025-09-07T11:01:21.4978895Z triton_convolution2d_1105 0.0993 ms 25.8% 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 2025-09-07T11:01:21.4980406Z triton_convolution2d_1104 0.1505 ms 17.0% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T11:01:21.4981932Z triton_convolution2d_1107 0.1556 ms 16.4% 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 2025-09-07T11:01:21.4983439Z triton_convolution2d_1106 0.1587 ms 16.1% 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 2025-09-07T11:01:21.4984944Z triton_convolution2d_1102 0.2007 ms 12.8% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T11:01:21.4986509Z triton_convolution2d_1101 0.2058 ms 12.4% 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 2025-09-07T11:01:21.4988321Z triton_convolution2d_1103 0.2734 ms 9.4% 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 2025-09-07T11:01:21.4989495Z SingleProcess AUTOTUNE benchmarking takes 0.2461 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T11:01:21.7776091Z Autotune Choices Stats: 2025-09-07T11:01:21.7777259Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1328", "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} 2025-09-07T11:01:21.7905653Z AUTOTUNE addmm(8x1000, 8x768, 768x1000) 2025-09-07T11:01:21.7906035Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T11:01:21.7906407Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:01:21.7907232Z triton_mm_1328 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 2025-09-07T11:01:21.7908734Z triton_mm_1332 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 2025-09-07T11:01:21.7909945Z triton_mm_1336 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T11:01:21.7911139Z triton_mm_1326 0.0123 ms 75.0% 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 2025-09-07T11:01:21.7912324Z triton_mm_1327 0.0123 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 2025-09-07T11:01:21.7913524Z triton_mm_1331 0.0123 ms 75.0% 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 2025-09-07T11:01:21.7914718Z triton_mm_1340 0.0123 ms 75.0% 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 2025-09-07T11:01:21.7915520Z bias_addmm 0.0133 ms 69.2% 2025-09-07T11:01:21.7916244Z triton_mm_1325 0.0133 ms 69.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T11:01:21.7917438Z triton_mm_1335 0.0133 ms 69.2% 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 2025-09-07T11:01:21.7918471Z SingleProcess AUTOTUNE benchmarking takes 0.2872 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T11:02:55.4675508Z Autotune Choices Stats: 2025-09-07T11:02:55.4676778Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_1358", "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} 2025-09-07T11:02:55.4807296Z AUTOTUNE mm(1000x8, 8x768) 2025-09-07T11:02:55.4807677Z strides: [1, 1000], [768, 1] 2025-09-07T11:02:55.4807984Z dtypes: torch.float16, torch.float16 2025-09-07T11:02:55.4808788Z triton_mm_1358 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 2025-09-07T11:02:55.4810011Z triton_mm_1359 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 2025-09-07T11:02:55.4811660Z triton_mm_1360 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 2025-09-07T11:02:55.4813150Z triton_mm_1361 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 2025-09-07T11:02:55.4814375Z triton_mm_1362 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 2025-09-07T11:02:55.4815592Z triton_mm_1363 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 2025-09-07T11:02:55.4816799Z triton_mm_1364 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 2025-09-07T11:02:55.4818005Z triton_mm_1365 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 2025-09-07T11:02:55.4819398Z triton_mm_1366 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 2025-09-07T11:02:55.4820696Z triton_mm_1367 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 2025-09-07T11:02:55.4821755Z SingleProcess AUTOTUNE benchmarking takes 0.2258 seconds and 0.0006 seconds precompiling for 17 choices 2025-09-07T11:02:56.3488238Z Autotune Choices Stats: 2025-09-07T11:02:56.3489460Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1345", "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} 2025-09-07T11:02:56.3614397Z AUTOTUNE mm(8x1000, 1000x768) 2025-09-07T11:02:56.3614706Z strides: [1000, 1], [768, 1] 2025-09-07T11:02:56.3615009Z dtypes: torch.float16, torch.float16 2025-09-07T11:02:56.3615808Z triton_mm_1345 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 2025-09-07T11:02:56.3617034Z triton_mm_1349 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 2025-09-07T11:02:56.3618243Z triton_mm_1353 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 2025-09-07T11:02:56.3619017Z mm 0.0133 ms 76.9% 2025-09-07T11:02:56.3619714Z triton_mm_1343 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 2025-09-07T11:02:56.3620923Z triton_mm_1344 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 2025-09-07T11:02:56.3622123Z triton_mm_1357 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 2025-09-07T11:02:56.3623322Z triton_mm_1348 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 2025-09-07T11:02:56.3624865Z triton_mm_1342 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 2025-09-07T11:02:56.3626143Z triton_mm_1352 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 2025-09-07T11:02:56.3627187Z SingleProcess AUTOTUNE benchmarking takes 0.2747 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T11:03:52.6807113Z W0907 11:03:52.679000 120386 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T11:05:07.4772596Z pass 2025-09-07T11:05:16.5619169Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T11:05:16.5620634Z import pynvml # type: ignore[import] 2025-09-07T11:05:19.8930686Z 2025-09-07T11:05:21.0425456Z loading model: 0it [00:00, ?it/s] 2025-09-07T11:05:21.0425820Z loading model: 0it [00:01, ?it/s] 2025-09-07T11:05:21.0426146Z cuda train regnety_002 2025-09-07T11:05:45.3062196Z Autotune Choices Stats: 2025-09-07T11:05:45.3064029Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_167", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T11:05:45.3194107Z AUTOTUNE convolution(8x38x1x1, 368x38x1x1) 2025-09-07T11:05:45.3194468Z strides: [38, 1, 1, 1], [38, 1, 1, 1] 2025-09-07T11:05:45.3194794Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:45.3195709Z triton_convolution2d_167 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 2025-09-07T11:05:45.3197230Z triton_convolution2d_168 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 2025-09-07T11:05:45.3198732Z triton_convolution2d_169 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 2025-09-07T11:05:45.3200234Z triton_convolution2d_170 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 2025-09-07T11:05:45.3201143Z convolution 0.0082 ms 87.5% 2025-09-07T11:05:45.3202011Z triton_convolution2d_171 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 2025-09-07T11:05:45.3203492Z triton_convolution2d_166 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 2025-09-07T11:05:45.3204397Z conv1x1_via_mm 0.0113 ms 63.6% 2025-09-07T11:05:45.3204965Z SingleProcess AUTOTUNE benchmarking takes 0.1547 seconds and 0.0004 seconds precompiling for 8 choices 2025-09-07T11:05:45.8229456Z Autotune Choices Stats: 2025-09-07T11:05:45.8231117Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.008191999979317188, "best_triton_pos": 1, "best_triton_time": 0.008191999979317188, "best_triton_kernel": "triton_convolution2d_201", "best_triton_kernel_desc": "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"} 2025-09-07T11:05:45.8356010Z AUTOTUNE convolution(8x92x1x1, 368x92x1x1) 2025-09-07T11:05:45.8356443Z strides: [92, 1, 1, 1], [92, 1, 1, 1] 2025-09-07T11:05:45.8356766Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:45.8357073Z convolution 0.0082 ms 100.0% 2025-09-07T11:05:45.8357994Z triton_convolution2d_201 0.0082 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 2025-09-07T11:05:45.8359490Z triton_convolution2d_202 0.0082 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 2025-09-07T11:05:45.8360967Z triton_convolution2d_199 0.0092 ms 88.9% 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 2025-09-07T11:05:45.8362449Z triton_convolution2d_200 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 2025-09-07T11:05:45.8364205Z triton_convolution2d_203 0.0092 ms 88.9% 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 2025-09-07T11:05:45.8365700Z triton_convolution2d_198 0.0113 ms 72.7% 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 2025-09-07T11:05:45.8366595Z conv1x1_via_mm 0.0123 ms 66.7% 2025-09-07T11:05:45.8367168Z SingleProcess AUTOTUNE benchmarking takes 0.1508 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T11:05:46.1862925Z Autotune Choices Stats: 2025-09-07T11:05:46.1865241Z {"num_choices": 7, "num_triton_choices": 5, "best_kernel": "triton_convolution2d_68", "best_kernel_desc": "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", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-07T11:05:46.1986540Z AUTOTUNE convolution(8x14x1x1, 152x14x1x1) 2025-09-07T11:05:46.1987216Z strides: [14, 1, 1, 1], [14, 1, 1, 1] 2025-09-07T11:05:46.1987790Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:46.1989438Z triton_convolution2d_68 0.0061 ms 100.0% 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 2025-09-07T11:05:46.1991967Z triton_convolution2d_69 0.0061 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 2025-09-07T11:05:46.1994499Z triton_convolution2d_70 0.0061 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 2025-09-07T11:05:46.1997029Z triton_convolution2d_71 0.0061 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=8 2025-09-07T11:05:46.1999539Z triton_convolution2d_72 0.0061 ms 100.0% 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=8 2025-09-07T11:05:46.2001094Z convolution 0.0072 ms 85.7% 2025-09-07T11:05:46.2002091Z conv1x1_via_mm 0.0113 ms 54.5% 2025-09-07T11:05:46.2003080Z SingleProcess AUTOTUNE benchmarking takes 0.1334 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T11:05:46.6307343Z Autotune Choices Stats: 2025-09-07T11:05:46.6309810Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_98", "best_kernel_desc": "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", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T11:05:46.6431585Z AUTOTUNE convolution(8x38x1x1, 152x38x1x1) 2025-09-07T11:05:46.6432271Z strides: [38, 1, 1, 1], [38, 1, 1, 1] 2025-09-07T11:05:46.6432836Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:46.6434473Z triton_convolution2d_98 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 2025-09-07T11:05:46.6437124Z triton_convolution2d_99 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 2025-09-07T11:05:46.6440281Z triton_convolution2d_100 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 2025-09-07T11:05:46.6443039Z triton_convolution2d_101 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 2025-09-07T11:05:46.6444625Z convolution 0.0082 ms 87.5% 2025-09-07T11:05:46.6446156Z triton_convolution2d_97 0.0082 ms 87.5% 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 2025-09-07T11:05:46.6448843Z triton_convolution2d_102 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 2025-09-07T11:05:46.6450487Z conv1x1_via_mm 0.0113 ms 63.6% 2025-09-07T11:05:46.6451487Z SingleProcess AUTOTUNE benchmarking takes 0.1486 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T11:05:46.9340016Z Autotune Choices Stats: 2025-09-07T11:05:46.9343001Z {"num_choices": 7, "num_triton_choices": 5, "best_kernel": "convolution", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_convolution2d_197", "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"} 2025-09-07T11:05:46.9462034Z AUTOTUNE convolution(8x368x1x1, 92x368x1x1) 2025-09-07T11:05:46.9462680Z strides: [368, 1, 1, 1], [368, 1, 1, 1] 2025-09-07T11:05:46.9463226Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:46.9463743Z convolution 0.0123 ms 100.0% 2025-09-07T11:05:46.9465511Z triton_convolution2d_197 0.0143 ms 85.7% 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 2025-09-07T11:05:46.9467234Z conv1x1_via_mm 0.0154 ms 80.0% 2025-09-07T11:05:46.9468870Z triton_convolution2d_196 0.0154 ms 80.0% 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 2025-09-07T11:05:46.9471690Z triton_convolution2d_195 0.0184 ms 66.7% 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 2025-09-07T11:05:46.9474915Z triton_convolution2d_193 0.0205 ms 60.0% 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 2025-09-07T11:05:46.9477736Z triton_convolution2d_194 0.0205 ms 60.0% 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 2025-09-07T11:05:46.9479967Z SingleProcess AUTOTUNE benchmarking takes 0.1375 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T11:05:47.3700530Z Autotune Choices Stats: 2025-09-07T11:05:47.3702981Z {"num_choices": 4, "num_triton_choices": 2, "best_kernel": "triton_convolution2d_42", "best_kernel_desc": "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", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-07T11:05:47.3823796Z AUTOTUNE convolution(8x6x1x1, 56x6x1x1) 2025-09-07T11:05:47.3824432Z strides: [6, 1, 1, 1], [6, 1, 1, 1] 2025-09-07T11:05:47.3825034Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:47.3827063Z triton_convolution2d_42 0.0061 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 2025-09-07T11:05:47.3829720Z triton_convolution2d_43 0.0061 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 2025-09-07T11:05:47.3831331Z convolution 0.0072 ms 85.7% 2025-09-07T11:05:47.3831831Z conv1x1_via_mm 0.0102 ms 60.0% 2025-09-07T11:05:47.3832788Z SingleProcess AUTOTUNE benchmarking takes 0.0938 seconds and 0.0002 seconds precompiling for 4 choices 2025-09-07T11:05:47.7703719Z Autotune Choices Stats: 2025-09-07T11:05:47.7706212Z {"num_choices": 5, "num_triton_choices": 3, "best_kernel": "triton_convolution2d_96", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T11:05:47.7826729Z AUTOTUNE convolution(8x152x1x1, 38x152x1x1) 2025-09-07T11:05:47.7827112Z strides: [152, 1, 1, 1], [152, 1, 1, 1] 2025-09-07T11:05:47.7827445Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:47.7828364Z triton_convolution2d_96 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 2025-09-07T11:05:47.7829276Z convolution 0.0102 ms 90.0% 2025-09-07T11:05:47.7830148Z triton_convolution2d_95 0.0113 ms 81.8% 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 2025-09-07T11:05:47.7831632Z triton_convolution2d_94 0.0123 ms 75.0% 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 2025-09-07T11:05:47.7832522Z conv1x1_via_mm 0.0133 ms 69.2% 2025-09-07T11:05:47.7833083Z SingleProcess AUTOTUNE benchmarking takes 0.1076 seconds and 0.0002 seconds precompiling for 5 choices 2025-09-07T11:05:48.2225524Z Autotune Choices Stats: 2025-09-07T11:05:48.2227224Z {"num_choices": 5, "num_triton_choices": 3, "best_kernel": "convolution", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.013311999849975109, "best_triton_kernel": "triton_convolution2d_165", "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"} 2025-09-07T11:05:48.2352742Z AUTOTUNE convolution(8x368x1x1, 38x368x1x1) 2025-09-07T11:05:48.2353150Z strides: [368, 1, 1, 1], [368, 1, 1, 1] 2025-09-07T11:05:48.2353472Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:48.2353794Z convolution 0.0123 ms 100.0% 2025-09-07T11:05:48.2354718Z triton_convolution2d_165 0.0133 ms 92.3% 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 2025-09-07T11:05:48.2355635Z conv1x1_via_mm 0.0143 ms 85.7% 2025-09-07T11:05:48.2356507Z triton_convolution2d_164 0.0184 ms 66.7% 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 2025-09-07T11:05:48.2357986Z triton_convolution2d_163 0.0195 ms 63.2% 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 2025-09-07T11:05:48.2359178Z SingleProcess AUTOTUNE benchmarking takes 0.1090 seconds and 0.0002 seconds precompiling for 5 choices 2025-09-07T11:05:48.3437135Z Autotune Choices Stats: 2025-09-07T11:05:48.3438824Z {"num_choices": 4, "num_triton_choices": 2, "best_kernel": "triton_convolution2d_16", "best_kernel_desc": "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", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-07T11:05:48.3560790Z AUTOTUNE convolution(8x8x1x1, 24x8x1x1) 2025-09-07T11:05:48.3561131Z strides: [8, 1, 1, 1], [8, 1, 1, 1] 2025-09-07T11:05:48.3561436Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:48.3562346Z triton_convolution2d_16 0.0061 ms 100.0% 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 2025-09-07T11:05:48.3563844Z triton_convolution2d_17 0.0061 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 2025-09-07T11:05:48.3564751Z convolution 0.0072 ms 85.7% 2025-09-07T11:05:48.3565049Z conv1x1_via_mm 0.0102 ms 60.0% 2025-09-07T11:05:48.3565606Z SingleProcess AUTOTUNE benchmarking takes 0.0963 seconds and 0.0002 seconds precompiling for 4 choices 2025-09-07T11:05:48.7470740Z Autotune Choices Stats: 2025-09-07T11:05:48.7472100Z {"num_choices": 5, "num_triton_choices": 3, "best_kernel": "triton_convolution2d_67", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, 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=2, num_warps=1", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T11:05:48.7593335Z AUTOTUNE convolution(8x152x1x1, 14x152x1x1) 2025-09-07T11:05:48.7593722Z strides: [152, 1, 1, 1], [152, 1, 1, 1] 2025-09-07T11:05:48.7594042Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:48.7594988Z triton_convolution2d_67 0.0082 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, 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=2, num_warps=1 2025-09-07T11:05:48.7595896Z convolution 0.0092 ms 88.9% 2025-09-07T11:05:48.7596774Z triton_convolution2d_65 0.0102 ms 80.0% 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=2, num_warps=1 2025-09-07T11:05:48.7598248Z triton_convolution2d_66 0.0102 ms 80.0% 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 2025-09-07T11:05:48.7599469Z conv1x1_via_mm 0.0123 ms 66.7% 2025-09-07T11:05:48.7600046Z SingleProcess AUTOTUNE benchmarking takes 0.1093 seconds and 0.0006 seconds precompiling for 5 choices 2025-09-07T11:05:49.0291991Z Autotune Choices Stats: 2025-09-07T11:05:49.0293622Z {"num_choices": 5, "num_triton_choices": 3, "best_kernel": "triton_convolution2d_13", "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=2, num_warps=1", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-07T11:05:49.0416656Z AUTOTUNE convolution(8x24x1x1, 8x24x1x1) 2025-09-07T11:05:49.0417011Z strides: [24, 1, 1, 1], [24, 1, 1, 1] 2025-09-07T11:05:49.0417338Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:49.0418239Z triton_convolution2d_13 0.0061 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=2, num_warps=1 2025-09-07T11:05:49.0419743Z triton_convolution2d_15 0.0061 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, 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=2, num_warps=1 2025-09-07T11:05:49.0420646Z convolution 0.0072 ms 85.7% 2025-09-07T11:05:49.0421886Z triton_convolution2d_14 0.0072 ms 85.7% 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 2025-09-07T11:05:49.0422792Z conv1x1_via_mm 0.0102 ms 60.0% 2025-09-07T11:05:49.0423364Z SingleProcess AUTOTUNE benchmarking takes 0.1096 seconds and 0.0002 seconds precompiling for 5 choices 2025-09-07T11:05:49.3061374Z Autotune Choices Stats: 2025-09-07T11:05:49.3062731Z {"num_choices": 5, "num_triton_choices": 3, "best_kernel": "triton_convolution2d_40", "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} 2025-09-07T11:05:49.3188537Z AUTOTUNE convolution(8x56x1x1, 6x56x1x1) 2025-09-07T11:05:49.3188911Z strides: [56, 1, 1, 1], [56, 1, 1, 1] 2025-09-07T11:05:49.3189236Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:49.3190175Z triton_convolution2d_40 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 2025-09-07T11:05:49.3191659Z triton_convolution2d_41 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, 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=2, num_warps=1 2025-09-07T11:05:49.3192568Z convolution 0.0082 ms 87.5% 2025-09-07T11:05:49.3193452Z triton_convolution2d_39 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=2, num_warps=1 2025-09-07T11:05:49.3194337Z conv1x1_via_mm 0.0154 ms 46.7% 2025-09-07T11:05:49.3194905Z SingleProcess AUTOTUNE benchmarking takes 0.1076 seconds and 0.0003 seconds precompiling for 5 choices 2025-09-07T11:05:50.0939433Z Autotune Choices Stats: 2025-09-07T11:05:50.0940838Z {"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} 2025-09-07T11:05:50.1064218Z AUTOTUNE convolution(8x3x224x224, 32x3x3x3) 2025-09-07T11:05:50.1064590Z strides: [150528, 50176, 224, 1], [27, 9, 3, 1] 2025-09-07T11:05:50.1065406Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:50.1066327Z 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 2025-09-07T11:05:50.1067834Z 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 2025-09-07T11:05:50.1069321Z 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 2025-09-07T11:05:50.1070796Z triton_convolution2d_0 0.0236 ms 82.6% 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 2025-09-07T11:05:50.1072263Z 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 2025-09-07T11:05:50.1073910Z 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 2025-09-07T11:05:50.1074814Z convolution 0.0338 ms 57.6% 2025-09-07T11:05:50.1075374Z SingleProcess AUTOTUNE benchmarking takes 0.1160 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T11:05:50.2541869Z Autotune Choices Stats: 2025-09-07T11:05:50.2543180Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_9", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T11:05:50.2665819Z AUTOTUNE convolution(8x32x112x112, 24x32x1x1) 2025-09-07T11:05:50.2666226Z strides: [401408, 12544, 112, 1], [32, 1, 1, 1] 2025-09-07T11:05:50.2666598Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:50.2667545Z triton_convolution2d_9 0.0154 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, 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=8 2025-09-07T11:05:50.2669046Z triton_convolution2d_10 0.0154 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, 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=4 2025-09-07T11:05:50.2670540Z triton_convolution2d_12 0.0154 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, 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=8 2025-09-07T11:05:50.2672036Z triton_convolution2d_7 0.0164 ms 93.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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=4 2025-09-07T11:05:50.2673516Z triton_convolution2d_11 0.0164 ms 93.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, 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=8 2025-09-07T11:05:50.2674984Z triton_convolution2d_6 0.0174 ms 88.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T11:05:50.2676439Z triton_convolution2d_8 0.0195 ms 78.9% 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 2025-09-07T11:05:50.2677706Z convolution 0.0236 ms 65.2% 2025-09-07T11:05:50.2678006Z conv1x1_via_mm 0.0737 ms 20.8% 2025-09-07T11:05:50.2678580Z SingleProcess AUTOTUNE benchmarking takes 0.1595 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T11:05:50.4095751Z Autotune Choices Stats: 2025-09-07T11:05:50.4097079Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_18", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T11:05:50.4218426Z AUTOTUNE convolution(8x24x56x56, 24x24x1x1) 2025-09-07T11:05:50.4218826Z strides: [75264, 3136, 56, 1], [24, 1, 1, 1] 2025-09-07T11:05:50.4219157Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:50.4220063Z triton_convolution2d_18 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T11:05:50.4221575Z triton_convolution2d_21 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, 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=8 2025-09-07T11:05:50.4223323Z triton_convolution2d_22 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, 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=4 2025-09-07T11:05:50.4224819Z triton_convolution2d_23 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, 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=8 2025-09-07T11:05:50.4226380Z triton_convolution2d_24 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, 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=8 2025-09-07T11:05:50.4227297Z convolution 0.0102 ms 90.0% 2025-09-07T11:05:50.4228162Z triton_convolution2d_19 0.0102 ms 90.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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=4 2025-09-07T11:05:50.4229645Z triton_convolution2d_20 0.0113 ms 81.8% 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 2025-09-07T11:05:50.4230550Z conv1x1_via_mm 0.0307 ms 30.0% 2025-09-07T11:05:50.4231111Z SingleProcess AUTOTUNE benchmarking takes 0.1547 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T11:05:50.5309946Z Autotune Choices Stats: 2025-09-07T11:05:50.5311271Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_25", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, 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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T11:05:50.5437095Z AUTOTUNE convolution(8x32x112x112, 24x32x1x1) 2025-09-07T11:05:50.5437501Z strides: [401408, 12544, 112, 1], [32, 1, 1, 1] 2025-09-07T11:05:50.5437862Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:50.5438782Z triton_convolution2d_25 0.0123 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, 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 2025-09-07T11:05:50.5440280Z triton_convolution2d_26 0.0133 ms 92.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, 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 2025-09-07T11:05:50.5441772Z triton_convolution2d_28 0.0133 ms 92.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, 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 2025-09-07T11:05:50.5443583Z triton_convolution2d_29 0.0133 ms 92.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, 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 2025-09-07T11:05:50.5445060Z triton_convolution2d_30 0.0133 ms 92.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, 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 2025-09-07T11:05:50.5446539Z triton_convolution2d_31 0.0143 ms 85.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, 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 2025-09-07T11:05:50.5448022Z triton_convolution2d_27 0.0184 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=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T11:05:50.5448921Z convolution 0.0195 ms 63.2% 2025-09-07T11:05:50.5449483Z SingleProcess AUTOTUNE benchmarking takes 0.1213 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T11:05:50.6862465Z Autotune Choices Stats: 2025-09-07T11:05:50.6864080Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_35", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T11:05:50.6990551Z AUTOTUNE convolution(8x24x56x56, 56x24x1x1) 2025-09-07T11:05:50.6990966Z strides: [75264, 3136, 56, 1], [24, 1, 1, 1] 2025-09-07T11:05:50.6991301Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:50.6992245Z triton_convolution2d_35 0.0102 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 2025-09-07T11:05:50.6993740Z triton_convolution2d_36 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 2025-09-07T11:05:50.6995235Z triton_convolution2d_37 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 2025-09-07T11:05:50.6996720Z triton_convolution2d_38 0.0102 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 2025-09-07T11:05:50.6998207Z triton_convolution2d_33 0.0113 ms 90.9% 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 2025-09-07T11:05:50.6999697Z triton_convolution2d_34 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 2025-09-07T11:05:50.7000598Z convolution 0.0133 ms 76.9% 2025-09-07T11:05:50.7001466Z triton_convolution2d_32 0.0133 ms 76.9% 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 2025-09-07T11:05:50.7002364Z conv1x1_via_mm 0.0430 ms 23.8% 2025-09-07T11:05:50.7002932Z SingleProcess AUTOTUNE benchmarking takes 0.1547 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T11:05:50.8438554Z Autotune Choices Stats: 2025-09-07T11:05:50.8440506Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.010239999741315842, "best_triton_kernel": "triton_convolution2d_47", "best_triton_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"} 2025-09-07T11:05:50.8570255Z AUTOTUNE convolution(8x56x28x28, 56x56x1x1) 2025-09-07T11:05:50.8570658Z strides: [43904, 784, 28, 1], [56, 1, 1, 1] 2025-09-07T11:05:50.8570989Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:50.8571312Z convolution 0.0102 ms 100.0% 2025-09-07T11:05:50.8572219Z triton_convolution2d_47 0.0102 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 2025-09-07T11:05:50.8573970Z triton_convolution2d_48 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 2025-09-07T11:05:50.8575467Z triton_convolution2d_49 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 2025-09-07T11:05:50.8577220Z triton_convolution2d_44 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 2025-09-07T11:05:50.8578680Z triton_convolution2d_50 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 2025-09-07T11:05:50.8580225Z triton_convolution2d_45 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 2025-09-07T11:05:50.8581726Z triton_convolution2d_46 0.0133 ms 76.9% 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 2025-09-07T11:05:50.8582635Z conv1x1_via_mm 0.0266 ms 38.5% 2025-09-07T11:05:50.8583214Z SingleProcess AUTOTUNE benchmarking takes 0.1573 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T11:05:50.9682962Z Autotune Choices Stats: 2025-09-07T11:05:50.9684287Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_54", "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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T11:05:50.9805453Z AUTOTUNE convolution(8x24x56x56, 56x24x1x1) 2025-09-07T11:05:50.9805859Z strides: [75264, 3136, 56, 1], [24, 1, 1, 1] 2025-09-07T11:05:50.9806208Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:50.9807131Z triton_convolution2d_54 0.0092 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T11:05:50.9808654Z triton_convolution2d_55 0.0092 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 2025-09-07T11:05:50.9810135Z triton_convolution2d_56 0.0092 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=8 2025-09-07T11:05:50.9811609Z triton_convolution2d_51 0.0102 ms 90.0% 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 2025-09-07T11:05:50.9813599Z triton_convolution2d_57 0.0102 ms 90.0% 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 2025-09-07T11:05:50.9815083Z triton_convolution2d_52 0.0113 ms 81.8% 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 2025-09-07T11:05:50.9816563Z triton_convolution2d_53 0.0143 ms 64.3% 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 2025-09-07T11:05:50.9817476Z convolution 0.0225 ms 40.9% 2025-09-07T11:05:50.9818036Z SingleProcess AUTOTUNE benchmarking takes 0.1220 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T11:05:51.1235256Z Autotune Choices Stats: 2025-09-07T11:05:51.1237196Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.011264000087976456, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "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=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T11:05:51.1358784Z AUTOTUNE convolution(8x56x28x28, 152x56x1x1) 2025-09-07T11:05:51.1359146Z strides: [43904, 784, 28, 1], [56, 1, 1, 1] 2025-09-07T11:05:51.1359481Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:51.1359804Z convolution 0.0113 ms 100.0% 2025-09-07T11:05:51.1360675Z triton_convolution2d_62 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T11:05:51.1362185Z triton_convolution2d_64 0.0113 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 2025-09-07T11:05:51.1363679Z triton_convolution2d_59 0.0123 ms 91.7% 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 2025-09-07T11:05:51.1365162Z triton_convolution2d_61 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T11:05:51.1366648Z triton_convolution2d_63 0.0123 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 2025-09-07T11:05:51.1368130Z triton_convolution2d_58 0.0133 ms 84.6% 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 2025-09-07T11:05:51.1369614Z triton_convolution2d_60 0.0133 ms 84.6% 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=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T11:05:51.1370522Z conv1x1_via_mm 0.0369 ms 30.6% 2025-09-07T11:05:51.1371076Z SingleProcess AUTOTUNE benchmarking takes 0.1548 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T11:05:51.2836945Z Autotune Choices Stats: 2025-09-07T11:05:51.2838559Z {"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_77", "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"} 2025-09-07T11:05:51.2963888Z AUTOTUNE convolution(8x152x14x14, 152x152x1x1) 2025-09-07T11:05:51.2964298Z strides: [29792, 196, 14, 1], [152, 1, 1, 1] 2025-09-07T11:05:51.2964668Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:51.2964988Z convolution 0.0123 ms 100.0% 2025-09-07T11:05:51.2965872Z triton_convolution2d_77 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 2025-09-07T11:05:51.2967371Z triton_convolution2d_76 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 2025-09-07T11:05:51.2968877Z triton_convolution2d_78 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 2025-09-07T11:05:51.2970683Z triton_convolution2d_79 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 2025-09-07T11:05:51.2972171Z triton_convolution2d_73 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 2025-09-07T11:05:51.2973912Z triton_convolution2d_74 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 2025-09-07T11:05:51.2975408Z triton_convolution2d_75 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 2025-09-07T11:05:51.2976315Z conv1x1_via_mm 0.0276 ms 44.4% 2025-09-07T11:05:51.2976870Z SingleProcess AUTOTUNE benchmarking takes 0.1590 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T11:05:51.4091212Z Autotune Choices Stats: 2025-09-07T11:05:51.4092540Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_84", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T11:05:51.4218218Z AUTOTUNE convolution(8x56x28x28, 152x56x1x1) 2025-09-07T11:05:51.4218627Z strides: [43904, 784, 28, 1], [56, 1, 1, 1] 2025-09-07T11:05:51.4218986Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:51.4219901Z triton_convolution2d_84 0.0092 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 2025-09-07T11:05:51.4221421Z triton_convolution2d_83 0.0123 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T11:05:51.4222910Z triton_convolution2d_85 0.0123 ms 75.0% 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 2025-09-07T11:05:51.4224378Z triton_convolution2d_80 0.0133 ms 69.2% 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 2025-09-07T11:05:51.4226309Z triton_convolution2d_86 0.0133 ms 69.2% 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 2025-09-07T11:05:51.4227798Z triton_convolution2d_81 0.0143 ms 64.3% 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 2025-09-07T11:05:51.4229284Z triton_convolution2d_82 0.0195 ms 47.4% 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 2025-09-07T11:05:51.4230190Z convolution 0.0205 ms 45.0% 2025-09-07T11:05:51.4230745Z SingleProcess AUTOTUNE benchmarking takes 0.1239 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T11:05:51.5934797Z Autotune Choices Stats: 2025-09-07T11:05:51.5936135Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_160", "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} 2025-09-07T11:05:51.6063946Z AUTOTUNE convolution(8x152x14x14, 368x152x1x1) 2025-09-07T11:05:51.6064695Z strides: [29792, 196, 14, 1], [152, 1, 1, 1] 2025-09-07T11:05:51.6065111Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:51.6066037Z triton_convolution2d_160 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 2025-09-07T11:05:51.6066938Z convolution 0.0133 ms 92.3% 2025-09-07T11:05:51.6067819Z triton_convolution2d_161 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 2025-09-07T11:05:51.6069331Z triton_convolution2d_159 0.0164 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 2025-09-07T11:05:51.6070837Z triton_convolution2d_162 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 2025-09-07T11:05:51.6072343Z triton_convolution2d_156 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 2025-09-07T11:05:51.6073830Z triton_convolution2d_157 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 2025-09-07T11:05:51.6075330Z triton_convolution2d_158 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 2025-09-07T11:05:51.6076242Z conv1x1_via_mm 0.0358 ms 34.3% 2025-09-07T11:05:51.6076801Z SingleProcess AUTOTUNE benchmarking takes 0.1588 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T11:05:51.7619778Z Autotune Choices Stats: 2025-09-07T11:05:51.7621409Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.018432000651955605, "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=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T11:05:51.7747487Z AUTOTUNE convolution(8x368x7x7, 368x368x1x1) 2025-09-07T11:05:51.7747890Z strides: [18032, 49, 7, 1], [368, 1, 1, 1] 2025-09-07T11:05:51.7748234Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:51.7748545Z convolution 0.0164 ms 100.0% 2025-09-07T11:05:51.7749461Z triton_convolution2d_176 0.0184 ms 88.9% 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 2025-09-07T11:05:51.7750954Z triton_convolution2d_177 0.0256 ms 64.0% 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 2025-09-07T11:05:51.7752450Z triton_convolution2d_175 0.0266 ms 61.5% 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 2025-09-07T11:05:51.7753958Z triton_convolution2d_172 0.0297 ms 55.2% 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 2025-09-07T11:05:51.7755770Z triton_convolution2d_178 0.0307 ms 53.3% 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 2025-09-07T11:05:51.7756676Z conv1x1_via_mm 0.0317 ms 51.6% 2025-09-07T11:05:51.7757561Z triton_convolution2d_174 0.0358 ms 45.7% 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 2025-09-07T11:05:51.7759055Z triton_convolution2d_173 0.0369 ms 44.4% 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 2025-09-07T11:05:51.7760243Z SingleProcess AUTOTUNE benchmarking takes 0.1676 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T11:05:51.8888644Z Autotune Choices Stats: 2025-09-07T11:05:51.8889979Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_183", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T11:05:51.9019171Z AUTOTUNE convolution(8x152x14x14, 368x152x1x1) 2025-09-07T11:05:51.9019583Z strides: [29792, 196, 14, 1], [152, 1, 1, 1] 2025-09-07T11:05:51.9019930Z dtypes: torch.float16, torch.float16 2025-09-07T11:05:51.9020838Z triton_convolution2d_183 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T11:05:51.9022377Z triton_convolution2d_182 0.0174 ms 70.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T11:05:51.9023889Z triton_convolution2d_184 0.0174 ms 70.6% 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 2025-09-07T11:05:51.9025457Z triton_convolution2d_179 0.0195 ms 63.2% 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 2025-09-07T11:05:51.9026955Z triton_convolution2d_185 0.0205 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T11:05:51.9028805Z triton_convolution2d_180 0.0225 ms 54.5% 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 2025-09-07T11:05:51.9030307Z triton_convolution2d_181 0.0276 ms 44.4% 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 2025-09-07T11:05:51.9031229Z convolution 0.0297 ms 41.4% 2025-09-07T11:05:51.9031778Z SingleProcess AUTOTUNE benchmarking takes 0.1256 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T11:05:52.2266095Z Autotune Choices Stats: 2025-09-07T11:05:52.2267293Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_340", "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} 2025-09-07T11:05:52.2406419Z AUTOTUNE addmm(8x1000, 8x368, 368x1000) 2025-09-07T11:05:52.2406802Z strides: [0, 1], [368, 1], [1, 368] 2025-09-07T11:05:52.2407156Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T11:05:52.2408273Z triton_mm_340 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 2025-09-07T11:05:52.2409508Z triton_mm_344 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 2025-09-07T11:05:52.2410724Z triton_mm_337 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 2025-09-07T11:05:52.2411921Z triton_mm_338 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 2025-09-07T11:05:52.2413384Z triton_mm_339 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 2025-09-07T11:05:52.2414580Z triton_mm_343 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 2025-09-07T11:05:52.2415778Z triton_mm_348 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T11:05:52.2416962Z triton_mm_350 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 2025-09-07T11:05:52.2418155Z triton_mm_352 0.0102 ms 90.0% 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 2025-09-07T11:05:52.2419350Z triton_mm_346 0.0113 ms 81.8% 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 2025-09-07T11:05:52.2420385Z SingleProcess AUTOTUNE benchmarking takes 0.2821 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T11:06:05.8891853Z Autotune Choices Stats: 2025-09-07T11:06:05.8893361Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_382", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T11:06:05.9023443Z AUTOTUNE mm(1000x8, 8x368) 2025-09-07T11:06:05.9023792Z strides: [1, 1000], [368, 1] 2025-09-07T11:06:05.9024447Z dtypes: torch.float16, torch.float16 2025-09-07T11:06:05.9025311Z triton_mm_382 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T11:06:05.9026550Z triton_mm_370 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 2025-09-07T11:06:05.9027739Z triton_mm_371 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 2025-09-07T11:06:05.9028919Z triton_mm_372 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T11:06:05.9030103Z triton_mm_373 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 2025-09-07T11:06:05.9031272Z triton_mm_374 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 2025-09-07T11:06:05.9032622Z triton_mm_375 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 2025-09-07T11:06:05.9033804Z triton_mm_376 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 2025-09-07T11:06:05.9034987Z triton_mm_377 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 2025-09-07T11:06:05.9036177Z triton_mm_378 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 2025-09-07T11:06:05.9037209Z SingleProcess AUTOTUNE benchmarking takes 0.2292 seconds and 0.0006 seconds precompiling for 17 choices 2025-09-07T11:06:06.6105914Z Autotune Choices Stats: 2025-09-07T11:06:06.6107170Z {"num_choices": 18, "num_triton_choices": 17, "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T11:06:06.6237766Z AUTOTUNE mm(8x1000, 1000x368) 2025-09-07T11:06:06.6238100Z strides: [1000, 1], [368, 1] 2025-09-07T11:06:06.6238397Z dtypes: torch.float16, torch.float16 2025-09-07T11:06:06.6239182Z triton_mm_357 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 2025-09-07T11:06:06.6240426Z triton_mm_361 0.0113 ms 90.9% 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 2025-09-07T11:06:06.6241168Z mm 0.0123 ms 83.3% 2025-09-07T11:06:06.6241865Z triton_mm_356 0.0123 ms 83.3% 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 2025-09-07T11:06:06.6243054Z triton_mm_355 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 2025-09-07T11:06:06.6244253Z triton_mm_365 0.0133 ms 76.9% 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 2025-09-07T11:06:06.6245453Z triton_mm_369 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 2025-09-07T11:06:06.6247008Z triton_mm_360 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 2025-09-07T11:06:06.6248196Z triton_mm_354 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 2025-09-07T11:06:06.6249391Z triton_mm_364 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 2025-09-07T11:06:06.6250435Z SingleProcess AUTOTUNE benchmarking takes 0.2613 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T11:06:13.0825948Z W0907 11:06:13.081000 126894 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T11:06:47.3173211Z pass 2025-09-07T11:06:52.0807385Z accuracy pass_rate=100.00% 2025-09-07T11:06:52.0814605Z calls_captured gmean=1209.23x mean=1285.200x 2025-09-07T11:06:52.0819076Z unique_graphs gmean=2.93x mean=3.000x 2025-09-07T11:06:52.0823854Z graph_breaks gmean=6.66x mean=6.700x 2025-09-07T11:06:52.0828848Z unique_graph_breaks gmean=4.89x mean=4.900x 2025-09-07T11:06:52.0834045Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T11:06:52.0837929Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T11:06:52.0842356Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T11:06:52.0843749Z compilation_latency mean=141.376 seconds 2025-09-07T11:06:53.3238572Z + [[ 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* ]] 2025-09-07T11:06:53.3241404Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T11:06:53.3241986Z + for target in "${targets[@]}" 2025-09-07T11:06:53.3242539Z + target_flag=('--performance') 2025-09-07T11:06:53.3243061Z + local target_flag 2025-09-07T11:06:53.3243518Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T11:06:53.3244157Z + target_flag+=(--cold-start-latency) 2025-09-07T11:06:53.3246828Z + [[ 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* ]] 2025-09-07T11:06:53.3251551Z + [[ 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* ]] 2025-09-07T11:06:53.3256859Z + python benchmarks/dynamo/timm_models.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 6 --partition-id 3 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.csv 2025-09-07T11:06:54.5507382Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T11:06:54.5508801Z import pynvml # type: ignore[import] 2025-09-07T11:06:59.6422873Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T11:06:59.6424362Z import pynvml # type: ignore[import] 2025-09-07T11:07:03.3236530Z 2025-09-07T11:07:04.9191799Z loading model: 0it [00:00, ?it/s] 2025-09-07T11:07:04.9192170Z loading model: 0it [00:01, ?it/s] 2025-09-07T11:07:04.9192499Z cuda train mixnet_l 2025-09-07T11:08:36.9910666Z 2025-09-07T11:08:37.3415906Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:10:11.7169105Z 2025-09-07T11:10:12.2014060Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:11:46.1501592Z 2025-09-07T11:11:46.3265355Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:13:29.2288031Z 2025-09-07T11:13:29.6630633Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:15:58.6878384Z 2025-09-07T11:15:58.9102320Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T11:17:43.4295282Z 2025-09-07T11:17:43.6994377Z running 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2025-09-07T13:08:09.0115231Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T13:10:13.4358816Z 2025-09-07T13:10:13.6347203Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T13:13:00.5417796Z 2025-09-07T13:13:01.1152303Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T13:16:53.4230793Z 2025-09-07T13:16:53.7034513Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T13:19:08.2312588Z 2025-09-07T13:19:08.6042545Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T13:21:45.7883021Z 2025-09-07T13:21:46.0876046Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T13:32:49.3814568Z 2025-09-07T13:32:49.8179120Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T13:35:01.6287262Z 2025-09-07T13:35:02.3709899Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T15:40:55.5700202Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T15:40:55.5713019Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:40:55.5713402Z env: 2025-09-07T15:40:55.5713625Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:40:55.5713964Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:40:55.5714448Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:40:55.5715041Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:40:55.5715549Z ##[endgroup] 2025-09-07T15:40:55.5744990Z + [[ -n '' ]] 2025-09-07T15:40:55.5745351Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T15:40:55.8817070Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T15:40:56.7239397Z Collecting boto3==1.35.33 2025-09-07T15:40:56.7975987Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T15:40:56.8330178Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 3.9 MB/s eta 0:00:00 2025-09-07T15:40:56.9888176Z Collecting psutil==7.0.0 2025-09-07T15:40:56.9995411Z 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) 2025-09-07T15:40:57.0378556Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 7.4 MB/s eta 0:00:00 2025-09-07T15:40:57.0584420Z Collecting pynvml==12.0.0 2025-09-07T15:40:57.0712591Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T15:40:57.1115761Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T15:40:57.1229780Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T15:40:57.1370844Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 5.9 MB/s eta 0:00:00 2025-09-07T15:40:57.8677021Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T15:40:57.8784703Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T15:40:58.3335603Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 39.2 MB/s eta 0:00:00 2025-09-07T15:40:58.3986786Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T15:40:58.4092450Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T15:40:58.4566133Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T15:40:58.4692481Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T15:40:58.4759492Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 7.5 MB/s eta 0:00:00 2025-09-07T15:40:58.4824824Z 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) 2025-09-07T15:40:58.4838186Z 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) 2025-09-07T15:40:58.8182069Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T15:40:58.8182988Z Attempting uninstall: nvidia-ml-py 2025-09-07T15:40:58.8188714Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T15:40:58.8225760Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T15:40:58.8248557Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T15:40:58.8956408Z Attempting uninstall: psutil 2025-09-07T15:40:58.8963733Z Found existing installation: psutil 5.9.8 2025-09-07T15:40:58.9111938Z Uninstalling psutil-5.9.8: 2025-09-07T15:40:58.9120060Z Successfully uninstalled psutil-5.9.8 2025-09-07T15:40:59.7117477Z 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 2025-09-07T15:40:59.8194259Z + DEVICE_NAME= 2025-09-07T15:40:59.8194541Z + DEVICE_TYPE= 2025-09-07T15:40:59.8194789Z + command -v nvidia-smi 2025-09-07T15:40:59.8195287Z + python3 -mpip install torch==2.7.1 2025-09-07T15:40:59.8195611Z /usr/bin/nvidia-smi 2025-09-07T15:41:00.1234851Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T15:41:00.3712344Z Collecting torch==2.7.1 2025-09-07T15:41:00.4446990Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T15:41:12.1287029Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.3 MB/s eta 0:00:00 2025-09-07T15:41:14.4567605Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T15:41:14.4709089Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T15:41:14.6420884Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 5.3 MB/s eta 0:00:00 2025-09-07T15:41:14.7777650Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T15:41:14.7910087Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T15:41:14.9075032Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 9.9 MB/s eta 0:00:00 2025-09-07T15:41:15.0506372Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T15:41:15.0631066Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T15:41:15.2288782Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 482.1 kB/s eta 0:00:00 2025-09-07T15:41:15.3726710Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T15:41:15.3922081Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T15:41:19.6321166Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 3.2 MB/s eta 0:00:00 2025-09-07T15:41:20.2025036Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T15:41:20.2162465Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T15:41:27.9960190Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 2.1 MB/s eta 0:00:00 2025-09-07T15:41:29.4545829Z Collecting jinja2 2025-09-07T15:41:29.4667584Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T15:41:29.4751359Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 19.4 MB/s eta 0:00:00 2025-09-07T15:41:29.5025728Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T15:41:29.5169735Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T15:41:29.9636031Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 45.7 MB/s eta 0:00:00 2025-09-07T15:41:30.1407412Z Collecting sympy>=1.13.3 2025-09-07T15:41:30.1514282Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T15:41:30.2193376Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 95.3 MB/s eta 0:00:00 2025-09-07T15:41:30.2693414Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T15:41:30.2837951Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T15:41:31.6985768Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 15.2 MB/s eta 0:00:00 2025-09-07T15:41:32.1246701Z Collecting triton==3.3.1 2025-09-07T15:41:32.1386488Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T15:41:33.5762488Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 16.1 MB/s eta 0:00:00 2025-09-07T15:41:33.9934123Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T15:41:34.0099659Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T15:41:34.1858096Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 81.8 MB/s eta 0:00:00 2025-09-07T15:41:34.2762505Z Collecting filelock 2025-09-07T15:41:34.2868996Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T15:41:34.2934159Z 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) 2025-09-07T15:41:34.3154212Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T15:41:34.3295546Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T15:41:36.3739716Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 9.1 MB/s eta 0:00:00 2025-09-07T15:41:36.9030330Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T15:41:36.9139358Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T15:41:36.9794174Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 140.3 MB/s eta 0:00:00 2025-09-07T15:41:37.0262489Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T15:41:37.0394721Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T15:41:42.2385476Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 3.2 MB/s eta 0:00:00 2025-09-07T15:41:43.2671339Z Collecting fsspec 2025-09-07T15:41:43.2778776Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T15:41:43.2863281Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 28.8 MB/s eta 0:00:00 2025-09-07T15:41:43.3130145Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T15:41:43.3273865Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T15:41:43.5222196Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 75.4 MB/s eta 0:00:00 2025-09-07T15:41:43.6076821Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T15:41:43.6184019Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T15:41:45.5404850Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 9.2 MB/s eta 0:00:00 2025-09-07T15:41:46.1357040Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T15:41:46.1515951Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T15:41:48.3980381Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 6.4 MB/s eta 0:00:00 2025-09-07T15:41:48.8352126Z Collecting networkx 2025-09-07T15:41:48.8459858Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T15:41:48.8640180Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 105.1 MB/s eta 0:00:00 2025-09-07T15:41:48.8991497Z 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) 2025-09-07T15:41:48.9261149Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T15:41:48.9368751Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T15:41:48.9480876Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 55.9 MB/s eta 0:00:00 2025-09-07T15:41:49.1511500Z Collecting MarkupSafe>=2.0 2025-09-07T15:41:49.1618737Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T15:41:49.5245711Z 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 2025-09-07T15:41:54.0557622Z WARNING: The scripts proton and proton-viewer are installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T15:41:54.0558580Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T15:41:58.3765479Z WARNING: The script isympy is installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T15:41:58.3766350Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T15:42:35.0727580Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T15:42:35.0728550Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T15:42:35.3940004Z 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 2025-09-07T15:42:35.9330701Z + echo DEVICE_NAME= 2025-09-07T15:42:35.9331014Z + echo DEVICE_TYPE= 2025-09-07T15:42:35.9468202Z ##[group]Run set -eux 2025-09-07T15:42:35.9468495Z set -eux 2025-09-07T15:42:35.9468735Z  2025-09-07T15:42:35.9468973Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T15:42:35.9469345Z  echo "Missing github-token input" 2025-09-07T15:42:35.9469675Z  exit 1 2025-09-07T15:42:35.9469903Z fi 2025-09-07T15:42:35.9482285Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:35.9482665Z env: 2025-09-07T15:42:35.9482911Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:35.9483252Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:35.9483717Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:35.9484326Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:35.9484840Z DEVICE_NAME: 2025-09-07T15:42:35.9485073Z DEVICE_TYPE: 2025-09-07T15:42:35.9485616Z GITHUB_TOKEN: *** 2025-09-07T15:42:35.9485841Z ##[endgroup] 2025-09-07T15:42:35.9593534Z + [[ -z *** ]] 2025-09-07T15:42:35.9678185Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T15:42:35.9678636Z with: 2025-09-07T15:42:35.9679076Z github-token: *** 2025-09-07T15:42:35.9679303Z env: 2025-09-07T15:42:35.9679522Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:35.9679862Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:35.9680326Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:35.9681053Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:35.9681574Z DEVICE_NAME: 2025-09-07T15:42:35.9681832Z DEVICE_TYPE: 2025-09-07T15:42:35.9682060Z ##[endgroup] 2025-09-07T15:42:36.0011702Z ##[group]Run set -eux 2025-09-07T15:42:36.0011998Z set -eux 2025-09-07T15:42:36.0012232Z  2025-09-07T15:42:36.0012718Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T15:42:36.0024837Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:36.0025348Z env: 2025-09-07T15:42:36.0025575Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:36.0025921Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:36.0026400Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:36.0027001Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:36.0027521Z DEVICE_NAME: 2025-09-07T15:42:36.0027760Z DEVICE_TYPE: 2025-09-07T15:42:36.0028248Z GITHUB_TOKEN: *** 2025-09-07T15:42:36.0028480Z ##[endgroup] 2025-09-07T15:42:36.0133858Z + python3 /home/charlie/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525309334 i-01a21955dc3821a00-1003 2025-09-07T15:42:36.9467876Z setting job-id=49775768434 2025-09-07T15:42:36.9468391Z setting job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T15:42:36.9671162Z ##[group]Run set -eux 2025-09-07T15:42:36.9671443Z set -eux 2025-09-07T15:42:36.9671672Z  2025-09-07T15:42:36.9671885Z if [[ -n "" ]]; then 2025-09-07T15:42:36.9672150Z  source "" 2025-09-07T15:42:36.9672389Z fi 2025-09-07T15:42:36.9672602Z  2025-09-07T15:42:36.9672992Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T15:42:36.9673525Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T15:42:36.9673879Z  --repo "${REPO}" \ 2025-09-07T15:42:36.9674188Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T15:42:36.9674533Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T15:42:36.9675084Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T15:42:36.9675441Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T15:42:36.9675778Z  --job-id "${JOB_ID}" \ 2025-09-07T15:42:36.9676083Z  --job-name "${JOB_NAME}" 2025-09-07T15:42:36.9687635Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:36.9688025Z env: 2025-09-07T15:42:36.9688237Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:36.9688583Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:36.9689049Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:36.9689659Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:36.9690172Z DEVICE_NAME: 2025-09-07T15:42:36.9690404Z DEVICE_TYPE: 2025-09-07T15:42:36.9690636Z SCHEMA_VERSION: v3 2025-09-07T15:42:36.9690894Z REPO: pytorch/pytorch 2025-09-07T15:42:36.9691149Z HEAD_BRANCH: refs/heads/main 2025-09-07T15:42:36.9691489Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T15:42:36.9691842Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T15:42:36.9692115Z RUN_ATTEMPT: 1 2025-09-07T15:42:36.9692331Z JOB_ID: 49775768434 2025-09-07T15:42:36.9692744Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T15:42:36.9693489Z ##[endgroup] 2025-09-07T15:42:36.9798021Z + [[ -n '' ]] 2025-09-07T15:42:36.9800293Z + 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 49775768434 --job-name 'cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100)' 2025-09-07T15:42:37.0129825Z ##[group]Run set -eux 2025-09-07T15:42:37.0130100Z set -eux 2025-09-07T15:42:37.0130328Z  2025-09-07T15:42:37.0130569Z if [[ -n "" ]]; then 2025-09-07T15:42:37.0130842Z  source "" 2025-09-07T15:42:37.0131088Z fi 2025-09-07T15:42:37.0131301Z  2025-09-07T15:42:37.0131703Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T15:42:37.0143599Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:37.0143985Z env: 2025-09-07T15:42:37.0144213Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:37.0144553Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:37.0145123Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:37.0145716Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:37.0146238Z DEVICE_NAME: 2025-09-07T15:42:37.0146468Z DEVICE_TYPE: 2025-09-07T15:42:37.0146694Z ##[endgroup] 2025-09-07T15:42:37.0257563Z + [[ -n '' ]] 2025-09-07T15:42:37.0258335Z + python3 /home/charlie/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T15:42:37.8558898Z /home/charlie/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T15:42:37.8560212Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T15:42:39.0674979Z ##[group]Run set -eux 2025-09-07T15:42:39.0675266Z set -eux 2025-09-07T15:42:39.0675508Z  2025-09-07T15:42:39.0675764Z # TODO (huydhn): Implement this part 2025-09-07T15:42:39.0676161Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T15:42:39.0703059Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:39.0703475Z env: 2025-09-07T15:42:39.0703706Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:39.0704046Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:39.0704713Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:39.0705407Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:39.0705927Z DEVICE_NAME: 2025-09-07T15:42:39.0706159Z DEVICE_TYPE: 2025-09-07T15:42:39.0706394Z ##[endgroup] 2025-09-07T15:42:39.0803479Z + echo 'dependencies={}' 2025-09-07T15:42:39.0886060Z ##[group]Run set -eux 2025-09-07T15:42:39.0886350Z set -eux 2025-09-07T15:42:39.0886578Z  2025-09-07T15:42:39.0886781Z if [[ -n "" ]]; then 2025-09-07T15:42:39.0887054Z  source "" 2025-09-07T15:42:39.0887296Z fi 2025-09-07T15:42:39.0887512Z  2025-09-07T15:42:39.0887778Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T15:42:39.0888233Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T15:42:39.0888738Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T15:42:39.0889158Z  exit 0 2025-09-07T15:42:39.0889383Z fi 2025-09-07T15:42:39.0889580Z  2025-09-07T15:42:39.0889820Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T15:42:39.0890310Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T15:42:39.0890885Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T15:42:39.0891313Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T15:42:39.0891678Z  --runners "${RUNNER_INFO}" \ 2025-09-07T15:42:39.0892038Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T15:42:39.0892376Z  --dry-run 2025-09-07T15:42:39.0892618Z else 2025-09-07T15:42:39.0893313Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T15:42:39.0893892Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T15:42:39.0894340Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T15:42:39.0894711Z  --runners "${RUNNER_INFO}" \ 2025-09-07T15:42:39.0895053Z  --dependencies "${DEPENDENCIES}" 2025-09-07T15:42:39.0895378Z fi 2025-09-07T15:42:39.0907109Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:39.0907499Z env: 2025-09-07T15:42:39.0907723Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:39.0908052Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:39.0908520Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:39.0909128Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:39.0909645Z DEVICE_NAME: 2025-09-07T15:42:39.0909869Z DEVICE_TYPE: 2025-09-07T15:42:39.0910130Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T15:42:39.0910452Z DRY_RUN: false 2025-09-07T15:42:39.0911787Z BENCHMARK_METADATA: {"timestamp": 1757259757, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768434} 2025-09-07T15:42:39.0913834Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "1df832b2c445"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}] 2025-09-07T15:42:39.0914677Z DEPENDENCIES: {} 2025-09-07T15:42:39.0914902Z ##[endgroup] 2025-09-07T15:42:39.1013936Z + [[ -n '' ]] 2025-09-07T15:42:39.1014210Z + [[ ! -d test/test-reports ]] 2025-09-07T15:42:39.1014506Z + [[ false == \t\r\u\e ]] 2025-09-07T15:42:39.1017635Z + 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": 1757259757, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768434}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "1df832b2c445"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}]' --dependencies '{}' 2025-09-07T15:42:39.2328697Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T15:42:39.2679107Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T15:42:39.5117235Z 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/17525309334/49775768434/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T15:42:39.7106359Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T15:42:39.9153901Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T15:42:40.0665866Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.json 2025-09-07T15:42:40.2407383Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T15:42:40.4292682Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T15:42:40.5972458Z 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/17525309334/49775768434/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T15:42:40.7825852Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.json 2025-09-07T15:42:40.9360809Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.json 2025-09-07T15:42:41.0878872Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_dynamic_timm_models_amp_training_cuda_performance.json 2025-09-07T15:42:41.2471585Z 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/17525309334/49775768434/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T15:42:41.4149286Z 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/17525309334/49775768434/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T15:42:41.5594478Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T15:42:41.7240371Z 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/17525309334/49775768434/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T15:42:41.9586800Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T15:42:42.1135432Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.json 2025-09-07T15:42:42.2870036Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T15:42:42.4383712Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.json 2025-09-07T15:42:42.5865122Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.json 2025-09-07T15:42:42.7375047Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T15:42:42.9040310Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T15:42:43.0812144Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T15:42:43.2398718Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_max_autotune_timm_models_amp_training_cuda_performance.json 2025-09-07T15:42:43.3992942Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T15:42:43.5631150Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T15:42:43.7608466Z 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/17525309334/49775768434/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T15:42:43.9549531Z 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/17525309334/49775768434/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T15:42:44.1266119Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T15:42:44.2981165Z 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/17525309334/49775768434/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T15:42:44.4999333Z INFO:root:Upload test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T15:42:44.6547648Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_dynamic_timm_models_amp_training_cuda_accuracy.json 2025-09-07T15:42:44.8159952Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T15:42:44.9903690Z 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/17525309334/49775768434/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T15:42:45.1673416Z 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/17525309334/49775768434/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T15:42:45.3233846Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T15:42:45.4860038Z 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/17525309334/49775768434/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T15:42:45.6511844Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768434/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.json 2025-09-07T15:42:45.8057309Z 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/17525309334/49775768434/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T15:42:45.9858005Z 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/17525309334/49775768434/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T15:42:46.2520390Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T15:42:46.2520799Z cat test/**/*_toprint.log || true 2025-09-07T15:42:46.2533626Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:46.2534040Z env: 2025-09-07T15:42:46.2534266Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:46.2534607Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:46.2535077Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:46.2535670Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:46.2536193Z DEVICE_NAME: 2025-09-07T15:42:46.2536422Z DEVICE_TYPE: 2025-09-07T15:42:46.2536664Z ##[endgroup] 2025-09-07T15:42:46.2720473Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T15:42:46.2844965Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T15:42:46.2845342Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T15:42:46.2857172Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:46.2857569Z env: 2025-09-07T15:42:46.2857799Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:46.2858139Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:46.2858594Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:46.2859196Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:46.2859710Z DEVICE_NAME: 2025-09-07T15:42:46.2859937Z DEVICE_TYPE: 2025-09-07T15:42:46.2860176Z MONITOR_SCRIPT_PID: 9534 2025-09-07T15:42:46.2860431Z ##[endgroup] 2025-09-07T15:42:46.3096773Z Prepare all required actions 2025-09-07T15:42:46.3097204Z Getting action download info 2025-09-07T15:42:46.4842279Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T15:42:47.2522189Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T15:42:48.7536805Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T15:42:48.7537162Z with: 2025-09-07T15:42:48.7537491Z file-suffix: test-inductor_timm_perf-4-6-linux.aws.a100_49775768434 2025-09-07T15:42:48.7537917Z s3-bucket: gha-artifacts 2025-09-07T15:42:48.7538155Z env: 2025-09-07T15:42:48.7538353Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:48.7538674Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:48.7539125Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:48.7539741Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:48.7540247Z DEVICE_NAME: 2025-09-07T15:42:48.7540455Z DEVICE_TYPE: 2025-09-07T15:42:48.7540673Z ##[endgroup] 2025-09-07T15:42:48.7912213Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T15:42:48.7912696Z # Remove any previous test jsons if they exist 2025-09-07T15:42:48.7913226Z rm -f test-jsons-*.zip 2025-09-07T15:42:48.7913657Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T15:42:48.7926167Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:48.7926566Z env: 2025-09-07T15:42:48.7926797Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:48.7927144Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:48.7927604Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:48.7928213Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:48.7928733Z DEVICE_NAME: 2025-09-07T15:42:48.7928982Z DEVICE_TYPE: 2025-09-07T15:42:48.7929340Z FILE_SUFFIX: test-inductor_timm_perf-4-6-linux.aws.a100_49775768434 2025-09-07T15:42:48.7929755Z ##[endgroup] 2025-09-07T15:42:48.8097873Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.8192778Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.8272585Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.8291578Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.8320283Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.8339691Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.8359019Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.8439455Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.8468150Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.8496761Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.8525262Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.8636202Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.8665314Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.8693988Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.8791983Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.8811034Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.8830407Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.8859071Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.8878332Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.8897616Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.8926573Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.9019187Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.9047679Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.9076529Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.9105380Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.9134462Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T15:42:48.9217197Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.9311716Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.9330757Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.9410268Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.9429434Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.9448488Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.9467743Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.9544023Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.9563264Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.9582508Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.9675263Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.9694590Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T15:42:48.9756982Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.9844777Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T15:42:48.9872418Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T15:42:48.9872896Z # Remove any previous test reports if they exist 2025-09-07T15:42:48.9873304Z rm -f test-reports-*.zip 2025-09-07T15:42:48.9873795Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T15:42:48.9885432Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:48.9885828Z env: 2025-09-07T15:42:48.9886047Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:48.9886379Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:48.9886850Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:48.9887461Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:48.9887974Z DEVICE_NAME: 2025-09-07T15:42:48.9888200Z DEVICE_TYPE: 2025-09-07T15:42:48.9888545Z FILE_SUFFIX: test-inductor_timm_perf-4-6-linux.aws.a100_49775768434 2025-09-07T15:42:48.9888969Z ##[endgroup] 2025-09-07T15:42:49.0022849Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.csv (deflated 49%) 2025-09-07T15:42:49.0023909Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T15:42:49.0025105Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T15:42:49.0026764Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T15:42:49.0027827Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T15:42:49.0028842Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T15:42:49.0030019Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T15:42:49.0031155Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 66%) 2025-09-07T15:42:49.0032242Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T15:42:49.0033299Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance.csv (deflated 49%) 2025-09-07T15:42:49.0034206Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T15:42:49.0035164Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T15:42:49.0036128Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T15:42:49.0037147Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T15:42:49.0038228Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T15:42:49.0039288Z adding: test/test-reports/inductor_cudagraphs_low_precision_timm_models_quant_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T15:42:49.0040237Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.csv (deflated 49%) 2025-09-07T15:42:49.0041124Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T15:42:49.0042264Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T15:42:49.0043369Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T15:42:49.0044430Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T15:42:49.0045294Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T15:42:49.0046276Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T15:42:49.0047314Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T15:42:49.0048362Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T15:42:49.0049408Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T15:42:49.0050438Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T15:42:49.0051550Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T15:42:49.0052697Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T15:42:49.0053939Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T15:42:49.0054953Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T15:42:49.0055919Z adding: test/test-reports/inductor_cudagraphs_low_precision_timm_models_quant_inference_cuda_performance.csv (deflated 50%) 2025-09-07T15:42:49.0056930Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T15:42:49.0057876Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T15:42:49.0058846Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T15:42:49.0059817Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.csv (deflated 49%) 2025-09-07T15:42:49.0060737Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance.csv (deflated 49%) 2025-09-07T15:42:49.0061632Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T15:42:49.0062642Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.csv (deflated 54%) 2025-09-07T15:42:49.0063592Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T15:42:49.0064646Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T15:42:49.0065727Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 56%) 2025-09-07T15:42:49.0110953Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T15:42:49.0111419Z # Remove any previous usage logs if they exist 2025-09-07T15:42:49.0111792Z rm -f logs-*.zip 2025-09-07T15:42:49.0112142Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T15:42:49.0112659Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T15:42:49.0123964Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:49.0124340Z env: 2025-09-07T15:42:49.0124557Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:49.0125031Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:49.0125493Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:49.0126143Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:49.0126644Z DEVICE_NAME: 2025-09-07T15:42:49.0126873Z DEVICE_TYPE: 2025-09-07T15:42:49.0127214Z FILE_SUFFIX: test-inductor_timm_perf-4-6-linux.aws.a100_49775768434 2025-09-07T15:42:49.0127614Z ##[endgroup] 2025-09-07T15:42:49.0446574Z adding: usage_log.txt (deflated 92%) 2025-09-07T15:42:49.0460994Z 2025-09-07T15:42:49.0461336Z zip error: Nothing to do! (logs-test-inductor_timm_perf-4-6-linux.aws.a100_49775768434.zip) 2025-09-07T15:42:49.0526807Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T15:42:49.0527335Z # Remove any previous debugging artifacts if they exist 2025-09-07T15:42:49.0527742Z rm -f debug-*.zip 2025-09-07T15:42:49.0528024Z if [ -d 'test/debug' ]; then 2025-09-07T15:42:49.0528389Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T15:42:49.0528738Z fi 2025-09-07T15:42:49.0539996Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:49.0540383Z env: 2025-09-07T15:42:49.0540585Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:49.0541016Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:49.0541478Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:49.0542072Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:49.0542576Z DEVICE_NAME: 2025-09-07T15:42:49.0542787Z DEVICE_TYPE: 2025-09-07T15:42:49.0543130Z FILE_SUFFIX: test-inductor_timm_perf-4-6-linux.aws.a100_49775768434 2025-09-07T15:42:49.0543536Z ##[endgroup] 2025-09-07T15:42:49.0735489Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T15:42:49.0735823Z with: 2025-09-07T15:42:49.0736052Z s3-bucket: gha-artifacts 2025-09-07T15:42:49.0736395Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T15:42:49.0736760Z retention-days: 14 2025-09-07T15:42:49.0737012Z if-no-files-found: warn 2025-09-07T15:42:49.0737293Z path: test-jsons-*.zip 2025-09-07T15:42:49.0737557Z name: artifact 2025-09-07T15:42:49.0737796Z region: us-east-1 2025-09-07T15:42:49.0738021Z env: 2025-09-07T15:42:49.0738238Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:49.0738583Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:49.0739053Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:49.0739646Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:49.0740159Z DEVICE_NAME: 2025-09-07T15:42:49.0740390Z DEVICE_TYPE: 2025-09-07T15:42:49.0740612Z ##[endgroup] 2025-09-07T15:42:49.4090351Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T15:42:49.4090847Z With the provided path, there will be 1 file uploaded 2025-09-07T15:42:49.4091334Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T15:42:49.4099389Z Starting upload of test-jsons-test-inductor_timm_perf-4-6-linux.aws.a100_49775768434.zip 2025-09-07T15:42:49.7973042Z Finished upload of test-jsons-test-inductor_timm_perf-4-6-linux.aws.a100_49775768434.zip 2025-09-07T15:42:49.8302393Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T15:42:49.8302763Z with: 2025-09-07T15:42:49.8302997Z s3-bucket: gha-artifacts 2025-09-07T15:42:49.8303325Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T15:42:49.8303693Z retention-days: 14 2025-09-07T15:42:49.8303956Z if-no-files-found: error 2025-09-07T15:42:49.8304242Z path: test-reports-*.zip 2025-09-07T15:42:49.8304500Z name: artifact 2025-09-07T15:42:49.8304739Z region: us-east-1 2025-09-07T15:42:49.8305085Z env: 2025-09-07T15:42:49.8305307Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:49.8305641Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:49.8306314Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:49.8306929Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:49.8307538Z DEVICE_NAME: 2025-09-07T15:42:49.8307758Z DEVICE_TYPE: 2025-09-07T15:42:49.8307984Z ##[endgroup] 2025-09-07T15:42:50.1631991Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T15:42:50.1632489Z With the provided path, there will be 1 file uploaded 2025-09-07T15:42:50.1632955Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T15:42:50.1640871Z Starting upload of test-reports-test-inductor_timm_perf-4-6-linux.aws.a100_49775768434.zip 2025-09-07T15:42:50.3387345Z Finished upload of test-reports-test-inductor_timm_perf-4-6-linux.aws.a100_49775768434.zip 2025-09-07T15:42:50.3594518Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T15:42:50.3594876Z with: 2025-09-07T15:42:50.3595111Z s3-bucket: gha-artifacts 2025-09-07T15:42:50.3595467Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T15:42:50.3595822Z retention-days: 14 2025-09-07T15:42:50.3596095Z if-no-files-found: ignore 2025-09-07T15:42:50.3596382Z path: logs-*.zip 2025-09-07T15:42:50.3596627Z name: artifact 2025-09-07T15:42:50.3596855Z region: us-east-1 2025-09-07T15:42:50.3597090Z env: 2025-09-07T15:42:50.3597459Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:50.3597813Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:50.3598273Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:50.3598884Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:50.3599403Z DEVICE_NAME: 2025-09-07T15:42:50.3599636Z DEVICE_TYPE: 2025-09-07T15:42:50.3599862Z ##[endgroup] 2025-09-07T15:42:50.6927275Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T15:42:50.6927764Z With the provided path, there will be 1 file uploaded 2025-09-07T15:42:50.6928235Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T15:42:50.6936423Z Starting upload of logs-test-inductor_timm_perf-4-6-linux.aws.a100_49775768434.zip 2025-09-07T15:42:50.8833390Z Finished upload of logs-test-inductor_timm_perf-4-6-linux.aws.a100_49775768434.zip 2025-09-07T15:42:50.9131635Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T15:42:50.9131994Z with: 2025-09-07T15:42:50.9132205Z s3-bucket: gha-artifacts 2025-09-07T15:42:50.9132533Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T15:42:50.9133063Z retention-days: 14 2025-09-07T15:42:50.9133324Z if-no-files-found: ignore 2025-09-07T15:42:50.9133591Z path: debug-*.zip 2025-09-07T15:42:50.9133828Z name: artifact 2025-09-07T15:42:50.9134065Z region: us-east-1 2025-09-07T15:42:50.9134299Z env: 2025-09-07T15:42:50.9134497Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:50.9134842Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:50.9135299Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:50.9135911Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:50.9136413Z DEVICE_NAME: 2025-09-07T15:42:50.9136634Z DEVICE_TYPE: 2025-09-07T15:42:50.9136855Z ##[endgroup] 2025-09-07T15:42:51.2407536Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T15:42:51.2654522Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T15:42:51.2654904Z # shellcheck disable=SC2156 2025-09-07T15:42:51.2655492Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T15:42:51.2668331Z shell: /usr/bin/bash -e {0} 2025-09-07T15:42:51.2668626Z env: 2025-09-07T15:42:51.2668849Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:51.2669215Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:51.2669695Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:51.2670309Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:51.2670942Z DEVICE_NAME: 2025-09-07T15:42:51.2671181Z DEVICE_TYPE: 2025-09-07T15:42:51.2671410Z ##[endgroup] 2025-09-07T15:42:51.8800885Z Prepare all required actions 2025-09-07T15:42:51.8801391Z Getting action download info 2025-09-07T15:42:52.0157329Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T15:42:52.0157705Z with: 2025-09-07T15:42:52.0157920Z job_id: 49775768434 2025-09-07T15:42:52.0158341Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T15:42:52.0158846Z workflow_name: inductor-A100-perf-nightly 2025-09-07T15:42:52.0159185Z workflow_run_id: 17525309334 2025-09-07T15:42:52.0159465Z workflow_attempt: 1 2025-09-07T15:42:52.0159705Z env: 2025-09-07T15:42:52.0159908Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:52.0160247Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:52.0160707Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:52.0161299Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:52.0161817Z DEVICE_NAME: 2025-09-07T15:42:52.0162079Z DEVICE_TYPE: 2025-09-07T15:42:52.0162292Z ##[endgroup] 2025-09-07T15:42:52.0205673Z ##[group]Run echo "workflow_id: 17525309334" 2025-09-07T15:42:52.0206168Z echo "workflow_id: 17525309334" 2025-09-07T15:42:52.0206503Z echo "workflow_attempt: 1" 2025-09-07T15:42:52.0206896Z echo "workflow_Name: inductor-A100-perf-nightly" 2025-09-07T15:42:52.0207298Z echo "job_id: 49775768434" 2025-09-07T15:42:52.0207816Z echo "job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100)" 2025-09-07T15:42:52.0208369Z echo "artifact_prefix: " 2025-09-07T15:42:52.0208688Z python3 --version 2025-09-07T15:42:52.0220716Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:42:52.0221117Z env: 2025-09-07T15:42:52.0221332Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:52.0221678Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:52.0222171Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:52.0222780Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:52.0223301Z DEVICE_NAME: 2025-09-07T15:42:52.0223521Z DEVICE_TYPE: 2025-09-07T15:42:52.0223750Z ##[endgroup] 2025-09-07T15:42:52.0267131Z workflow_id: 17525309334 2025-09-07T15:42:52.0267442Z workflow_attempt: 1 2025-09-07T15:42:52.0267729Z workflow_Name: inductor-A100-perf-nightly 2025-09-07T15:42:52.0268062Z job_id: 49775768434 2025-09-07T15:42:52.0268469Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100) 2025-09-07T15:42:52.0268960Z artifact_prefix: 2025-09-07T15:42:52.0281894Z Python 3.10.12 2025-09-07T15:42:52.0317443Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T15:42:52.0317768Z with: 2025-09-07T15:42:52.0317998Z shell: bash 2025-09-07T15:42:52.0318244Z timeout_minutes: 5 2025-09-07T15:42:52.0318504Z max_attempts: 5 2025-09-07T15:42:52.0318753Z retry_wait_seconds: 30 2025-09-07T15:42:52.0319333Z 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 2025-09-07T15:42:52.0319965Z polling_interval_seconds: 1 2025-09-07T15:42:52.0320258Z warning_on_retry: true 2025-09-07T15:42:52.0320532Z continue_on_error: false 2025-09-07T15:42:52.0320784Z env: 2025-09-07T15:42:52.0321005Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:42:52.0321338Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:42:52.0321808Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:42:52.0322405Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:42:52.0322920Z DEVICE_NAME: 2025-09-07T15:42:52.0323149Z DEVICE_TYPE: 2025-09-07T15:42:52.0323373Z ##[endgroup] 2025-09-07T15:42:52.4118517Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T15:42:52.7383936Z Collecting python-dateutil==2.8.2 2025-09-07T15:42:52.8117354Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T15:42:52.9752493Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 1.5 MB/s eta 0:00:00 2025-09-07T15:42:53.7168233Z Collecting boto3==1.35.42 2025-09-07T15:42:53.7290066Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T15:42:53.8796128Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 868.1 kB/s eta 0:00:00 2025-09-07T15:42:54.3253838Z Collecting pandas==2.1.3 2025-09-07T15:42:54.3390583Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T15:42:55.0026528Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 19.6 MB/s eta 0:00:00 2025-09-07T15:42:55.0644128Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/charlie/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T15:42:55.0662456Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T15:42:55.0710753Z 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) 2025-09-07T15:42:55.0716292Z 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) 2025-09-07T15:42:55.0721610Z 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) 2025-09-07T15:42:55.7341683Z Collecting numpy<2,>=1.22.4 2025-09-07T15:42:55.7460126Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T15:42:56.2316236Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 25.3 MB/s eta 0:00:00 2025-09-07T15:42:56.4344370Z Collecting tzdata>=2022.1 2025-09-07T15:42:56.4448995Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T15:42:56.5504535Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 3.3 MB/s eta 0:00:00 2025-09-07T15:42:56.7338643Z Collecting pytz>=2020.1 2025-09-07T15:42:56.7455977Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T15:42:56.9205313Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 2.9 MB/s eta 0:00:00 2025-09-07T15:42:56.9309812Z 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) 2025-09-07T15:42:56.9315773Z 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) 2025-09-07T15:42:56.9406545Z 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) 2025-09-07T15:42:56.9503239Z 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) 2025-09-07T15:42:56.9612199Z 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) 2025-09-07T15:42:56.9619617Z 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) 2025-09-07T15:42:57.2766513Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T15:42:59.8473935Z WARNING: The script f2py is installed in '/home/charlie/.local/bin' which is not on PATH. 2025-09-07T15:42:59.8474781Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T15:43:03.3660652Z Attempting uninstall: boto3 2025-09-07T15:43:03.3667966Z Found existing installation: boto3 1.35.33 2025-09-07T15:43:03.3857547Z Uninstalling boto3-1.35.33: 2025-09-07T15:43:03.3874717Z Successfully uninstalled boto3-1.35.33 2025-09-07T15:43:03.7013318Z 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 2025-09-07T15:43:04.1172407Z Command completed after 1 attempt(s). 2025-09-07T15:43:04.1310248Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T15:43:04.1311081Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T15:43:04.1311612Z  --workflow-run-id "17525309334" \ 2025-09-07T15:43:04.1312027Z  --workflow-name "inductor-A100-perf-nightly" \ 2025-09-07T15:43:04.1312445Z  --workflow-run-attempt "1" \ 2025-09-07T15:43:04.1312783Z  --job-id "49775768434" \ 2025-09-07T15:43:04.1313293Z  --job-name "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100)" \ 2025-09-07T15:43:04.1313832Z  --local-path "" \ 2025-09-07T15:43:04.1314144Z  --artifact-prefix "" 2025-09-07T15:43:04.1326993Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T15:43:04.1327398Z env: 2025-09-07T15:43:04.1327612Z GIT_DEFAULT_BRANCH: main 2025-09-07T15:43:04.1328121Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T15:43:04.1328602Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5229 2025-09-07T15:43:04.1329219Z DOCKER_CONTAINER_ID: 9f8e291d0b720b3d7c649f72a762e61bab1ede8f5c2f5558caed6f9a8c53d4d5 2025-09-07T15:43:04.1329728Z DEVICE_NAME: 2025-09-07T15:43:04.1329965Z DEVICE_TYPE: 2025-09-07T15:43:04.1330194Z ##[endgroup] 2025-09-07T15:43:08.1581959Z repo: pytorch/pytorch 2025-09-07T15:43:08.1582352Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T15:43:08.1582898Z Downloading logs-test-inductor_timm_perf-4-6-linux.aws.a100_49775768434.zip 2025-09-07T15:43:08.1583623Z extracting usage_log.txt from zip file logs-test-inductor_timm_perf-4-6-linux.aws.a100_49775768434.zip 2025-09-07T15:43:08.1584238Z Converted Log Model: UtilizationMetadata: 2025-09-07T15:43:08.1585835Z UtilizationMetadata(level='metadata', workflow_id='17525309334', job_id='49775768434', workflow_name='inductor-A100-perf-nightly', job_name='cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757235261, gpu_count=1, cpu_count=96, gpu_type='pynvml', error=None) 2025-09-07T15:43:08.1587426Z [Db Segments] detected pytest cmd: 4, generated segments: 4 2025-09-07T15:43:08.1587837Z [db model] Peek db timeseries 2025-09-07T15:43:08.1588103Z :{ 2025-09-07T15:43:08.1588317Z "created_at": 1757259787, 2025-09-07T15:43:08.1588611Z "type": "utilization", 2025-09-07T15:43:08.1588880Z "tags": [ 2025-09-07T15:43:08.1589089Z "record" 2025-09-07T15:43:08.1589317Z ], 2025-09-07T15:43:08.1589534Z "time_stamp": 1757235261, 2025-09-07T15:43:08.1589826Z "repo": "pytorch/pytorch", 2025-09-07T15:43:08.1590471Z "workflow_id": 17525309334, 2025-09-07T15:43:08.1590761Z "run_attempt": 1, 2025-09-07T15:43:08.1591031Z "job_id": 49775768434, 2025-09-07T15:43:08.1591363Z "workflow_name": "inductor-A100-perf-nightly", 2025-09-07T15:43:08.1591896Z "job_name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 4, 6, linux.aws.a100)", 2025-09-07T15:43:08.1592392Z "json_data": "{}" 2025-09-07T15:43:08.1592636Z } 2025-09-07T15:43:08.1593157Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768434/metadata 2025-09-07T15:43:08.1594126Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768434/metadata 2025-09-07T15:43:08.1595110Z Writing 1630 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768434/time_series 2025-09-07T15:43:08.1596134Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768434/time_series 2025-09-07T15:43:08.2615866Z Post job cleanup. 2025-09-07T15:43:08.2658527Z Post job cleanup. 2025-09-07T15:43:08.3623258Z [command]/usr/bin/git version 2025-09-07T15:43:08.3657920Z git version 2.51.0 2025-09-07T15:43:08.3697049Z Temporarily overriding HOME='/home/charlie/_work/_temp/9ec4aa5c-26ce-4294-840f-3158f0572a70' before making global git config changes 2025-09-07T15:43:08.3697958Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T15:43:08.3701941Z [command]/usr/bin/git config --global --add safe.directory /home/charlie/_work/pytorch/pytorch 2025-09-07T15:43:08.3738198Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T15:43:08.3776676Z [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' || :" 2025-09-07T15:43:08.4003925Z Entering 'android/libs/fbjni' 2025-09-07T15:43:08.4046961Z Entering 'third_party/FP16' 2025-09-07T15:43:08.4089014Z Entering 'third_party/FXdiv' 2025-09-07T15:43:08.4131931Z Entering 'third_party/NNPACK' 2025-09-07T15:43:08.4174579Z Entering 'third_party/NVTX' 2025-09-07T15:43:08.4219175Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T15:43:08.4261577Z Entering 'third_party/XNNPACK' 2025-09-07T15:43:08.4320293Z Entering 'third_party/aiter' 2025-09-07T15:43:08.4363546Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T15:43:08.4414214Z Entering 'third_party/benchmark' 2025-09-07T15:43:08.4457763Z Entering 'third_party/composable_kernel' 2025-09-07T15:43:08.4509723Z Entering 'third_party/cpp-httplib' 2025-09-07T15:43:08.4551889Z Entering 'third_party/cpuinfo' 2025-09-07T15:43:08.4594103Z Entering 'third_party/cudnn_frontend' 2025-09-07T15:43:08.4636555Z Entering 'third_party/cutlass' 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Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T15:43:08.5302175Z Entering 'third_party/gloo' 2025-09-07T15:43:08.5343993Z Entering 'third_party/googletest' 2025-09-07T15:43:08.5386061Z Entering 'third_party/ideep' 2025-09-07T15:43:08.5427269Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T15:43:08.5477019Z Entering 'third_party/ittapi' 2025-09-07T15:43:08.5518246Z Entering 'third_party/kineto' 2025-09-07T15:43:08.5560976Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T15:43:08.5601636Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T15:43:08.5643098Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T15:43:08.5683341Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T15:43:08.5724713Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T15:43:08.5764380Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T15:43:08.5806899Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T15:43:08.5847694Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T15:43:08.5888092Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T15:43:08.5929237Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T15:43:08.5971339Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T15:43:08.6011405Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T15:43:08.6054073Z Entering 'third_party/kleidiai' 2025-09-07T15:43:08.6097454Z Entering 'third_party/mimalloc' 2025-09-07T15:43:08.6139882Z Entering 'third_party/nlohmann' 2025-09-07T15:43:08.6183027Z Entering 'third_party/onnx' 2025-09-07T15:43:08.6245062Z Entering 'third_party/onnx/third_party/pybind11' 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Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T15:43:08.6757725Z Entering 'third_party/pocketfft' 2025-09-07T15:43:08.6799443Z Entering 'third_party/protobuf' 2025-09-07T15:43:08.6845438Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T15:43:08.6884619Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T15:43:08.6926972Z Entering 'third_party/psimd' 2025-09-07T15:43:08.6969221Z Entering 'third_party/pthreadpool' 2025-09-07T15:43:08.7011356Z Entering 'third_party/pybind11' 2025-09-07T15:43:08.7053962Z Entering 'third_party/python-peachpy' 2025-09-07T15:43:08.7094952Z Entering 'third_party/sleef' 2025-09-07T15:43:08.7136688Z Entering 'third_party/tensorpipe' 2025-09-07T15:43:08.7178502Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T15:43:08.7217932Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T15:43:08.7257544Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T15:43:08.7297187Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T15:43:08.7336657Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T15:43:08.7395167Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T15:43:08.7416852Z http.https://github.com/.extraheader 2025-09-07T15:43:08.7425716Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T15:43:08.7454031Z [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' || :" 2025-09-07T15:43:08.7675954Z Entering 'android/libs/fbjni' 2025-09-07T15:43:08.7699375Z http.https://github.com/.extraheader 2025-09-07T15:43:08.7730249Z Entering 'third_party/FP16' 2025-09-07T15:43:08.7754164Z http.https://github.com/.extraheader 2025-09-07T15:43:08.7784838Z Entering 'third_party/FXdiv' 2025-09-07T15:43:08.7808311Z http.https://github.com/.extraheader 2025-09-07T15:43:08.7838776Z Entering 'third_party/NNPACK' 2025-09-07T15:43:08.7863297Z http.https://github.com/.extraheader 2025-09-07T15:43:08.7898940Z Entering 'third_party/NVTX' 2025-09-07T15:43:08.7923630Z http.https://github.com/.extraheader 2025-09-07T15:43:08.7956665Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T15:43:08.7980636Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8011060Z Entering 'third_party/XNNPACK' 2025-09-07T15:43:08.8035192Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8082613Z Entering 'third_party/aiter' 2025-09-07T15:43:08.8107229Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8139593Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T15:43:08.8161745Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8201031Z Entering 'third_party/benchmark' 2025-09-07T15:43:08.8225233Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8256322Z Entering 'third_party/composable_kernel' 2025-09-07T15:43:08.8279829Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8319480Z Entering 'third_party/cpp-httplib' 2025-09-07T15:43:08.8343777Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8375344Z Entering 'third_party/cpuinfo' 2025-09-07T15:43:08.8399196Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8431186Z Entering 'third_party/cudnn_frontend' 2025-09-07T15:43:08.8456325Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8486421Z Entering 'third_party/cutlass' 2025-09-07T15:43:08.8510424Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8552165Z Entering 'third_party/fbgemm' 2025-09-07T15:43:08.8576533Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8610008Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T15:43:08.8633608Z http.https://github.com/.extraheader 2025-09-07T15:43:08.8664219Z Entering 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http.https://github.com/.extraheader 2025-09-07T15:43:08.9516272Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T15:43:08.9539097Z http.https://github.com/.extraheader 2025-09-07T15:43:08.9577729Z Entering 'third_party/ittapi' 2025-09-07T15:43:08.9601884Z http.https://github.com/.extraheader 2025-09-07T15:43:08.9632629Z Entering 'third_party/kineto' 2025-09-07T15:43:08.9657997Z http.https://github.com/.extraheader 2025-09-07T15:43:08.9689406Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T15:43:08.9712468Z http.https://github.com/.extraheader 2025-09-07T15:43:08.9743160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T15:43:08.9766232Z http.https://github.com/.extraheader 2025-09-07T15:43:08.9797567Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T15:43:08.9821242Z http.https://github.com/.extraheader 2025-09-07T15:43:08.9851999Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T15:43:08.9875401Z http.https://github.com/.extraheader 2025-09-07T15:43:08.9907329Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T15:43:08.9930437Z http.https://github.com/.extraheader 2025-09-07T15:43:08.9959703Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T15:43:08.9984056Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0016578Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T15:43:09.0039981Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0070728Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T15:43:09.0093845Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0124308Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T15:43:09.0150603Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0181592Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T15:43:09.0204989Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0237598Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T15:43:09.0260750Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0290225Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T15:43:09.0313076Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0344798Z Entering 'third_party/kleidiai' 2025-09-07T15:43:09.0369295Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0400151Z Entering 'third_party/mimalloc' 2025-09-07T15:43:09.0424169Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0455373Z Entering 'third_party/nlohmann' 2025-09-07T15:43:09.0479016Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0512632Z Entering 'third_party/onnx' 2025-09-07T15:43:09.0537468Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0585712Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T15:43:09.0609018Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0641979Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T15:43:09.0666686Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0699962Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T15:43:09.0722227Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0752508Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T15:43:09.0775420Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0805948Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T15:43:09.0828762Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0859288Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T15:43:09.0881675Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0914109Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T15:43:09.0937196Z http.https://github.com/.extraheader 2025-09-07T15:43:09.0967334Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T15:43:09.0991092Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1021399Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T15:43:09.1044129Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1073866Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T15:43:09.1096379Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1128187Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T15:43:09.1151255Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1184032Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T15:43:09.1207192Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1256050Z Entering 'third_party/pocketfft' 2025-09-07T15:43:09.1280311Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1311089Z Entering 'third_party/protobuf' 2025-09-07T15:43:09.1335995Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1369731Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T15:43:09.1392696Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1423664Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T15:43:09.1446751Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1478602Z Entering 'third_party/psimd' 2025-09-07T15:43:09.1503059Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1533521Z Entering 'third_party/pthreadpool' 2025-09-07T15:43:09.1557278Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1587380Z Entering 'third_party/pybind11' 2025-09-07T15:43:09.1611162Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1641522Z Entering 'third_party/python-peachpy' 2025-09-07T15:43:09.1666004Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1696072Z Entering 'third_party/sleef' 2025-09-07T15:43:09.1719983Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1750247Z Entering 'third_party/tensorpipe' 2025-09-07T15:43:09.1774469Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1805009Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T15:43:09.1827974Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1858500Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T15:43:09.1881366Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1911109Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T15:43:09.1934211Z http.https://github.com/.extraheader 2025-09-07T15:43:09.1965371Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T15:43:09.1988043Z http.https://github.com/.extraheader 2025-09-07T15:43:09.2016906Z Entering 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2025-09-07T15:43:09.6838697Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T15:43:09.6897556Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T15:43:09.6926791Z [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' || :" 2025-09-07T15:43:09.7147149Z Entering 'android/libs/fbjni' 2025-09-07T15:43:09.7187881Z Entering 'third_party/FP16' 2025-09-07T15:43:09.7229661Z Entering 'third_party/FXdiv' 2025-09-07T15:43:09.7271489Z Entering 'third_party/NNPACK' 2025-09-07T15:43:09.7313096Z Entering 'third_party/NVTX' 2025-09-07T15:43:09.7355724Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T15:43:09.7397405Z Entering 'third_party/XNNPACK' 2025-09-07T15:43:09.7453360Z Entering 'third_party/aiter' 2025-09-07T15:43:09.7495027Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T15:43:09.7542812Z Entering 'third_party/benchmark' 2025-09-07T15:43:09.7584486Z Entering 'third_party/composable_kernel' 2025-09-07T15:43:09.7634738Z Entering 'third_party/cpp-httplib' 2025-09-07T15:43:09.7675775Z Entering 'third_party/cpuinfo' 2025-09-07T15:43:09.7718650Z Entering 'third_party/cudnn_frontend' 2025-09-07T15:43:09.7759743Z Entering 'third_party/cutlass' 2025-09-07T15:43:09.7811096Z Entering 'third_party/fbgemm' 2025-09-07T15:43:09.7855488Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T15:43:09.7895794Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T15:43:09.7941766Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T15:43:09.7981539Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T15:43:09.8031010Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T15:43:09.8070990Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T15:43:09.8109671Z 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