2025-09-07T07:44:40.2128437Z Current runner version: '2.328.0' 2025-09-07T07:44:40.2134808Z Runner name: 'i-01a21955dc3821a00-1005' 2025-09-07T07:44:40.2135674Z Runner group name: 'default' 2025-09-07T07:44:40.2136683Z Machine name: '295bee9cdda6' 2025-09-07T07:44:40.2139446Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:44:40.2141790Z Contents: read 2025-09-07T07:44:40.2142344Z Metadata: read 2025-09-07T07:44:40.2142960Z ##[endgroup] 2025-09-07T07:44:40.2145295Z Secret source: Actions 2025-09-07T07:44:40.2146050Z Prepare workflow directory 2025-09-07T07:44:40.2669146Z Prepare all required actions 2025-09-07T07:44:40.2710429Z Getting action download info 2025-09-07T07:44:40.6589262Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:44:43.2305364Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:45:21.9749528Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:45:23.2325561Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:45:23.9830493Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:45:24.4764744Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:45:25.4015930Z Getting action download info 2025-09-07T07:45:25.6171250Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:45:26.3394116Z Getting action download info 2025-09-07T07:45:26.5076544Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:45:26.8114338Z Getting action download info 2025-09-07T07:45:26.9385776Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:45:27.1869313Z Getting action download info 2025-09-07T07:45:27.3745923Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:45:27.3750028Z ##[group] Inputs 2025-09-07T07:45:27.3750462Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T07:45:27.3756672Z 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"}]} 2025-09-07T07:45:27.3763532Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:45:27.3764537Z sync-tag: 2025-09-07T07:45:27.3765433Z timeout-minutes: 1440 2025-09-07T07:45:27.3765707Z use-gha: 2025-09-07T07:45:27.3766931Z 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 2025-09-07T07:45:27.3768251Z s3-bucket: gha-artifacts 2025-09-07T07:45:27.3768529Z aws-role-to-assume: 2025-09-07T07:45:27.3769143Z disable-monitor: false 2025-09-07T07:45:27.3769487Z monitor-log-interval: 15 2025-09-07T07:45:27.3769784Z monitor-data-collect-interval: 4 2025-09-07T07:45:27.3770111Z ##[endgroup] 2025-09-07T07:45:27.3770555Z Complete job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T07:45:27.4272718Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:45:27.4273526Z with: 2025-09-07T07:45:27.4274090Z github-secret: *** 2025-09-07T07:45:27.4274839Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:45:27.4275624Z activate-with-label: false 2025-09-07T07:45:27.4275912Z label: with-ssh 2025-09-07T07:45:27.4276168Z remove-existing-keys: true 2025-09-07T07:45:27.4276457Z fail-silently: true 2025-09-07T07:45:27.4276907Z env: 2025-09-07T07:45:27.4277139Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:27.4277419Z ##[endgroup] 2025-09-07T07:45:27.5425372Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:45:27.5426372Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:45:27.5624800Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:45:27.5625287Z with: 2025-09-07T07:45:27.5625518Z no-sudo: true 2025-09-07T07:45:27.5625765Z submodules: recursive 2025-09-07T07:45:27.5626019Z fetch-depth: 0 2025-09-07T07:45:27.5626258Z env: 2025-09-07T07:45:27.5626478Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:27.5626753Z ##[endgroup] 2025-09-07T07:45:27.5716121Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:27.5717153Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:45:27.5736596Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:45:27.5737040Z env: 2025-09-07T07:45:27.5737275Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:27.5737535Z ##[endgroup] 2025-09-07T07:45:27.5888846Z ##[group]Run actions/checkout@v4 2025-09-07T07:45:27.5889154Z with: 2025-09-07T07:45:27.5889409Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:45:27.5889748Z fetch-depth: 0 2025-09-07T07:45:27.5889998Z submodules: recursive 2025-09-07T07:45:27.5890249Z show-progress: false 2025-09-07T07:45:27.5890578Z repository: pytorch/pytorch 2025-09-07T07:45:27.5890989Z token: *** 2025-09-07T07:45:27.5891217Z ssh-strict: true 2025-09-07T07:45:27.5891456Z ssh-user: git 2025-09-07T07:45:27.5891690Z persist-credentials: true 2025-09-07T07:45:27.5891972Z clean: true 2025-09-07T07:45:27.5892223Z sparse-checkout-cone-mode: true 2025-09-07T07:45:27.5892528Z fetch-tags: false 2025-09-07T07:45:27.5892777Z lfs: false 2025-09-07T07:45:27.5893186Z set-safe-directory: true 2025-09-07T07:45:27.5893663Z env: 2025-09-07T07:45:27.5893886Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:45:27.5894156Z ##[endgroup] 2025-09-07T07:45:27.6930345Z Syncing repository: pytorch/pytorch 2025-09-07T07:45:27.6931753Z ##[group]Getting Git version info 2025-09-07T07:45:27.6932173Z Working directory is '/home/eve/_work/pytorch/pytorch' 2025-09-07T07:45:27.6932774Z [command]/usr/bin/git version 2025-09-07T07:45:27.6933293Z git version 2.51.0 2025-09-07T07:45:27.6952035Z ##[endgroup] 2025-09-07T07:45:27.6962949Z Temporarily overriding HOME='/home/eve/_work/_temp/53580b9a-16c0-4cfb-a680-f6783fa7e7c6' before making global git config changes 2025-09-07T07:45:27.6963864Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:45:27.6968072Z [command]/usr/bin/git config --global --add safe.directory /home/eve/_work/pytorch/pytorch 2025-09-07T07:45:27.6999651Z Deleting the contents of '/home/eve/_work/pytorch/pytorch' 2025-09-07T07:45:27.7002638Z ##[group]Initializing the repository 2025-09-07T07:45:27.7005789Z [command]/usr/bin/git init /home/eve/_work/pytorch/pytorch 2025-09-07T07:45:27.7046564Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:45:27.7047264Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:45:27.7047867Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:45:27.7048289Z hint: 2025-09-07T07:45:27.7048608Z hint: git config --global init.defaultBranch 2025-09-07T07:45:27.7048968Z hint: 2025-09-07T07:45:27.7049310Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:45:27.7049884Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:45:27.7050335Z hint: 2025-09-07T07:45:27.7050563Z hint: git branch -m 2025-09-07T07:45:27.7050834Z hint: 2025-09-07T07:45:27.7051197Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T07:45:27.7051836Z Initialized empty Git repository in /home/eve/_work/pytorch/pytorch/.git/ 2025-09-07T07:45:27.7056449Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:45:27.7088438Z ##[endgroup] 2025-09-07T07:45:27.7089335Z ##[group]Disabling automatic garbage collection 2025-09-07T07:45:27.7092045Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:45:27.7115793Z ##[endgroup] 2025-09-07T07:45:27.7116191Z ##[group]Setting up auth 2025-09-07T07:45:27.7121747Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:45:27.7148745Z [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' || :" 2025-09-07T07:45:27.7351236Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:45:27.7375942Z [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' || :" 2025-09-07T07:45:27.7573309Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:45:27.7604479Z ##[endgroup] 2025-09-07T07:45:27.7604920Z ##[group]Fetching the repository 2025-09-07T07:45:27.7611766Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:46:42.5887388Z From https://github.com/pytorch/pytorch 2025-09-07T07:46:42.5888053Z * [new branch] 160583 -> origin/160583 2025-09-07T07:46:42.5888664Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:46:42.5889310Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:46:42.5890054Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:46:42.5891510Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:46:42.5892270Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:46:42.5893200Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:46:42.5893992Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:46:42.5894814Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:46:42.5895522Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:46:42.5896222Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:46:42.5896892Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:46:42.5897544Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:46:42.5898219Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:46:42.5898841Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:46:42.5899524Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:46:42.5900339Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:46:42.5901111Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:46:42.5901814Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:46:42.5902464Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:46:42.5903128Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:46:42.5903731Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:46:42.5904542Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:46:42.5905262Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:46:42.5905813Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:46:42.5906393Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:46:42.5907050Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:46:42.5907710Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:46:42.5908444Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:46:42.5909081Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:46:42.5909724Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:46:42.5910406Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:46:42.5911095Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:46:42.5911747Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:46:42.5912397Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:46:42.5913153Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:46:42.5913841Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:46:42.5914505Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:46:42.5915410Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:46:42.5916208Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:46:42.5916917Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:46:42.5917615Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:46:42.5918294Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:46:42.5918981Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:46:42.5919657Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:46:42.5920291Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:46:42.5920959Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:46:42.5921635Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:46:42.5922233Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:46:42.5922897Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:46:42.5923563Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:46:42.5924216Z * [new branch] 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2025-09-07T07:46:42.7582619Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T07:46:42.7582901Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T07:46:42.7583106Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T07:46:42.7583298Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T07:46:42.7583503Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T07:46:42.7583717Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T07:46:42.7583933Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T07:46:42.7584196Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T07:46:42.7584455Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T07:46:42.7584674Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T07:46:42.7584986Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T07:46:42.7585205Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T07:46:42.7585477Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T07:46:42.7585679Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T07:46:42.7585934Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T07:46:42.7586140Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T07:46:42.7586364Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T07:46:42.7586578Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T07:46:42.7586783Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T07:46:42.7586994Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T07:46:42.7587294Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T07:46:42.7587555Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T07:46:42.7587839Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T07:46:42.7588053Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T07:46:42.7588515Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:46:42.7588949Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:46:42.7589184Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T07:46:42.7589396Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T07:46:42.7589607Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T07:46:42.7589789Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T07:46:42.7590043Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T07:46:42.7590288Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T07:46:42.7590559Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T07:46:42.7590790Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T07:46:42.7591065Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T07:46:42.7591442Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T07:46:42.7591664Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T07:46:42.7591881Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T07:46:42.7592156Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T07:46:42.7592371Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T07:46:42.7592626Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T07:46:42.7592811Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T07:46:42.7592997Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T07:46:42.7593210Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T07:46:42.7593434Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T07:46:42.7593668Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T07:46:42.7593836Z * [new branch] zb2p -> origin/zb2p 2025-09-07T07:46:42.7594069Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T07:46:42.7594329Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T07:46:42.7594552Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T07:46:42.7594791Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T07:46:42.7594978Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:46:42.7595465Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:46:42.7595645Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:46:42.7595925Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:46:42.7596132Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:46:42.7596321Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:46:42.7596520Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:46:42.7596711Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:46:42.7596914Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:46:42.7597103Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:46:42.7597292Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:46:42.7597495Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:46:42.7597687Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:46:42.7597947Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:46:42.7598195Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:46:42.7598440Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:46:42.7598673Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:46:42.7598891Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:46:42.7599121Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:46:42.7599460Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:46:42.7599692Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:46:42.7599906Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:46:42.7600147Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:46:42.7600366Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:46:42.7600572Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:46:42.7600791Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:46:42.7600996Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:46:42.7601216Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:46:42.7601422Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:46:42.7601631Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:46:42.7601847Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:46:42.7602050Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:46:42.7602269Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:46:42.7602471Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:46:42.7602677Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:46:42.7602857Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:46:42.7603025Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:46:42.7603202Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:46:42.7603458Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:46:42.7603638Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:46:42.7604038Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:46:42.7604379Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:46:42.7604650Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:46:42.7604905Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:46:42.7605165Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:46:42.7605381Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:46:42.7605610Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:46:42.7605818Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:46:42.7606029Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:46:42.7606248Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:46:42.7606461Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:46:42.7606667Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:46:42.7606859Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:46:42.7607049Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:46:42.7607349Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:46:42.7607542Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:46:42.7607741Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:46:42.7607928Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:46:42.7608129Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:46:42.7608314Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:46:42.7608502Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:46:42.7608700Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:46:42.7608889Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:46:42.7609093Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:46:42.7609284Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:46:42.7609472Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:46:42.7609674Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:46:42.7609863Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:46:42.7610061Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:46:42.7610250Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:46:42.7610450Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:46:42.7610639Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:46:42.7610833Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:46:42.7611035Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:46:42.7611321Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:46:42.7611524Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:46:42.7611714Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:46:42.7611906Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:46:42.7612105Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:46:42.7612294Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:46:42.7612496Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:46:42.7612688Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:46:42.7613049Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:46:42.7613245Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:46:42.7613434Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:46:42.7613635Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:46:42.7613822Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:46:42.7614022Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:46:42.7614210Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:46:42.7614399Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:46:42.7614715Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:46:42.7614905Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:46:42.7615108Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:46:42.7615297Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:46:42.7615497Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:46:42.7615687Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:46:42.7615878Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:46:42.7616081Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:46:42.7616274Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:46:42.7616483Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:46:42.7616679Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:46:42.7616872Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:46:42.7617076Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:46:42.7617266Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:46:42.7617468Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:46:42.7617659Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:46:42.7617865Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:46:42.7618055Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:46:42.7618248Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:46:42.7618454Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:46:42.7618757Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:46:42.7618963Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:46:42.7619152Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:46:42.7619343Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:46:42.7619548Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:46:42.7619739Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:46:42.7619942Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:46:42.7620130Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:46:42.7620337Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:46:42.7620533Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:46:42.7620722Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:46:42.7620929Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:46:42.7621119Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:46:42.7621322Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:46:42.7621515Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:46:42.7621720Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:46:42.7621912Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:46:42.7622223Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:46:42.7622428Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:46:42.7622620Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:46:42.7622830Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:46:42.7623019Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:46:42.7623209Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:46:42.7623412Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:46:42.7623606Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:46:42.7623808Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:46:42.7624002Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:46:42.7624207Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:46:42.7624399Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:46:42.7624588Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:46:42.7624791Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:46:42.7625106Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:46:42.7625317Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:46:42.7625509Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:46:42.7625698Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:46:42.7625904Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:46:42.7626095Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:46:42.7626440Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:46:42.7626631Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:46:42.7626832Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:46:42.7627021Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:46:42.7627209Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:46:42.7627409Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:46:42.7627595Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:46:42.7627799Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:46:42.7627988Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:46:42.7628179Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:46:42.7628380Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:46:42.7628569Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:46:42.7628769Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:46:42.7628959Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:46:42.7629159Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:46:42.7629350Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:46:42.7629536Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:46:42.7629860Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:46:42.7630057Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:46:42.7630257Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:46:42.7630447Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:46:42.7630635Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:46:42.7630838Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:46:42.7631028Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:46:42.7631232Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:46:42.7631423Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:46:42.7631627Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:46:42.7631819Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:46:42.7632010Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:46:42.7632213Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:46:42.7632402Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:46:42.7632603Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:46:42.7632791Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:46:42.7632978Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:46:42.7633179Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:46:42.7633372Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:46:42.7633667Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:46:42.7633861Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:46:42.7634061Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:46:42.7634251Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:46:42.7634441Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:46:42.7634640Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:46:42.7634830Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:46:42.7635032Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:46:42.7635229Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:46:42.7635423Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:46:42.7635631Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:46:42.7635822Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:46:42.7636026Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:46:42.7636218Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:46:42.7636422Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:46:42.7636612Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:46:42.7636801Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:46:42.7637124Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:46:42.7637314Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:46:42.7637523Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:46:42.7637716Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:46:42.7637907Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:46:42.7638110Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:46:42.7638302Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:46:42.7638508Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:46:42.7638698Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:46:42.7638904Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:46:42.7639095Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:46:42.7639287Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:46:42.7639487Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:46:42.7639678Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:46:42.7639880Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:46:42.7640072Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:46:42.7640275Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:46:42.7640462Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:46:42.7640653Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:46:42.7640853Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:46:42.7641154Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:46:42.7641359Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:46:42.7641549Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:46:42.7641737Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:46:42.7641939Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:46:42.7642129Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:46:42.7642331Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:46:42.7642521Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:46:42.7642726Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:46:42.7642919Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:46:42.7643109Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:46:42.7643311Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:46:42.7643499Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:46:42.7643700Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:46:42.7643887Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:46:42.7644076Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:46:42.7644277Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:46:42.7644573Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:46:42.7644787Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:46:42.7644985Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:46:42.7645193Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:46:42.7645407Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:46:42.7645621Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:46:42.7645841Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:46:42.7646018Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:46:42.7646204Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:46:42.7646377Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:46:42.7646550Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:46:42.7646731Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:46:42.7646898Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:46:42.7647103Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:46:42.7647291Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:46:42.7647515Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:46:42.7647790Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:46:42.7648060Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:46:42.7648282Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:46:42.7648575Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:46:42.7648787Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:46:42.7648979Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:46:42.7649174Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:46:42.7649388Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:46:42.7649589Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:46:42.7649791Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:46:42.7649988Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:46:42.7650220Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:46:42.7650462Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:46:42.7650692Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:46:42.7650932Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:46:42.7651158Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:46:42.7651416Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:46:42.7651632Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:46:42.7651839Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:46:42.7652032Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:46:42.7652327Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:46:42.7652535Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:46:42.7652725Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:46:42.7653090Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:46:42.7653287Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:46:42.7653480Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:46:42.7653687Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:46:42.7653880Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:46:42.7654092Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:46:42.7654288Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:46:42.7654500Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:46:42.7654692Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:46:42.7654869Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:46:42.7655056Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:46:42.7655228Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:46:42.7655416Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:46:42.7655585Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:46:42.7655757Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:46:42.7655943Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:46:42.7656253Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:46:42.7656445Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:46:42.7656614Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:46:42.7656800Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:46:42.7656971Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:46:42.7657141Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:46:42.7657328Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:46:42.7657500Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:46:42.7657688Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:46:42.7657867Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:46:42.7658045Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:46:42.7658585Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:46:42.7658764Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:46:42.7658948Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:46:42.7659125Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:46:42.7659321Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:46:42.7659498Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:46:42.7659800Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:46:42.7659993Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:46:42.7660171Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:46:42.7660364Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:46:42.7660540Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:46:42.7661026Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:46:42.7661216Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:46:42.7661395Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:46:42.7661585Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:46:42.7661763Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:46:42.7661959Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:46:42.7662470Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:46:42.7662705Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:46:42.7662895Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:46:42.7663067Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:46:42.7663256Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:46:42.7663426Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:46:42.7663601Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:46:42.7663792Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:46:42.7664065Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:46:42.7664250Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:46:42.7664421Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:46:42.7664607Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:46:42.7664779Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:46:42.7665035Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:46:42.7665225Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:46:42.7665398Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:46:42.7665588Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:46:42.7665762Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:46:42.7665934Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:46:42.7666117Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:46:42.7666290Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:46:42.7666474Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:46:42.7666645Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:46:42.7666830Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:46:42.7667003Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:46:42.7667298Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:46:42.7667483Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:46:42.7667658Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:46:42.7667844Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:46:42.7668016Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:46:42.7668189Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:46:42.7668375Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:46:42.7668548Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:46:42.7668734Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:46:42.7668906Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:46:42.7669097Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:46:42.7669273Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:46:42.7669446Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:46:42.7669657Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:46:42.7669830Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:46:42.7670016Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:46:42.7670188Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:46:42.7670362Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:46:42.7670547Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:46:42.7670726Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:46:42.7670915Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:46:42.7671190Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:46:42.7671378Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:46:42.7671551Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:46:42.7671728Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:46:42.7671913Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:46:42.7672087Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:46:42.7672272Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:46:42.7672450Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:46:42.7672622Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:46:42.7672813Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:46:42.7672988Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:46:42.7673184Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:46:42.7673361Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:46:42.7673551Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:46:42.7673723Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:46:42.7673898Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:46:42.7674086Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:46:42.7674370Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:46:42.7674558Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:46:42.7674732Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:46:42.7674907Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:46:42.7675091Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:46:42.7675264Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:46:42.7675448Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:46:42.7675623Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:46:42.7675811Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:46:42.7675988Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:46:42.7676161Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:46:42.7676353Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:46:42.7676525Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:46:42.7676713Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:46:42.7676884Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:46:42.7677056Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:46:42.7677240Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:46:42.7677411Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:46:42.7677597Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:46:42.7677773Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:46:42.7678045Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:46:42.7678234Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:46:42.7678407Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:46:42.7678591Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:46:42.7678763Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:46:42.7678946Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:46:42.7679120Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:46:42.7679292Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:46:42.7679484Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:46:42.7679657Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:46:42.7679847Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:46:42.7680022Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:46:42.7680194Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:46:42.7680378Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:46:42.7680551Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:46:42.7680734Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:46:42.7680907Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:46:42.7681208Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:46:42.7681383Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:46:42.7681559Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:46:42.7681746Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:46:42.7681920Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:46:42.7682102Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:46:42.7682274Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:46:42.7682448Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:46:42.7682633Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:46:42.7682806Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:46:42.7682995Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:46:42.7683171Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:46:42.7683356Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:46:42.7683533Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:46:42.7683707Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:46:42.7683895Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:46:42.7684071Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:46:42.7684259Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:46:42.7684454Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:46:42.7684651Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:46:42.7684839Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:46:42.7685108Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:46:42.7685295Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:46:42.7685465Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:46:42.7685652Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:46:42.7685820Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:46:42.7685987Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:46:42.7686164Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:46:42.7686333Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:46:42.7686515Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:46:42.7686687Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:46:42.7686855Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:46:42.7687034Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:46:42.7687203Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:46:42.7687382Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:46:42.7687551Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:46:42.7687717Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:46:42.7687870Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:46:42.7688117Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:46:42.7688283Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:46:42.7688438Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:46:42.7688599Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:46:42.7688749Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:46:42.7688901Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:46:42.7689068Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:46:42.7689216Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:46:42.7689384Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:46:42.7689534Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:46:42.7689682Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:46:42.7689849Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:46:42.7689998Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:46:42.7690162Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:46:42.7690312Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:46:42.7690478Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:46:42.7690630Z * [new tag] flight_5 -> flight_5 2025-09-07T07:46:42.7690785Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:46:42.7690950Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:46:42.7691096Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:46:42.7691257Z * [new tag] forpull1 -> forpull1 2025-09-07T07:46:42.7691442Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:46:42.7691622Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:46:42.7691907Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:46:42.7692085Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:46:42.7692282Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:46:42.7692456Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:46:42.7693022Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:46:42.7693430Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:46:42.7693815Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:46:42.7694240Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:46:42.7694622Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:46:42.7695018Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:46:42.7695392Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:46:42.7695796Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:46:42.7696172Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:46:42.7696672Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:46:42.7697074Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:46:42.7697455Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:46:42.7697855Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:46:42.7698238Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:46:42.7698646Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:46:42.7699038Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:46:42.7699449Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:46:42.7699829Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:46:42.7700213Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:46:42.7700621Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:46:42.7700996Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:46:42.7701380Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:46:42.7701760Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:46:42.7702286Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:46:42.7702676Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:46:42.7703053Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:46:42.7703452Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:46:42.7703838Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:46:42.7704231Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:46:42.7704626Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:46:42.7705120Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:46:42.7705507Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:46:42.7705904Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:46:42.7706297Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:46:42.7706690Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:46:42.7707084Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:46:42.7707571Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:46:42.7707965Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:46:42.7708343Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:46:42.7708742Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:46:42.7709123Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:46:42.7709511Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:46:42.7709913Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:46:42.7710299Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:46:42.7710685Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:46:42.7711061Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:46:42.7711460Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:46:42.7711831Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:46:42.7712223Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:46:42.7712614Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:46:42.7713098Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:46:42.7713489Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:46:42.7713879Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:46:42.7714271Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:46:42.7714664Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:46:42.7715060Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:46:42.7715454Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:46:42.7715846Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:46:42.7716220Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:46:42.7716604Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:46:42.7717003Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:46:42.7717388Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:46:42.7717880Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:46:42.7718260Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:46:42.7718656Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:46:42.7719051Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:46:42.7719442Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:46:42.7719845Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:46:42.7720238Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:46:42.7720641Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:46:42.7721033Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:46:42.7721435Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:46:42.7721817Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:46:42.7722209Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:46:42.7722599Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:46:42.7722979Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:46:42.7723476Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:46:42.7723867Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:46:42.7724279Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:46:42.7724676Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:46:42.7725071Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:46:42.7725460Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:46:42.7725847Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:46:42.7726246Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:46:42.7726643Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:46:42.7727025Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:46:42.7727405Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:46:42.7727797Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:46:42.7728182Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:46:42.7728709Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:46:42.7729097Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:46:42.7729478Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:46:42.7729870Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:46:42.7730249Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:46:42.7730655Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:46:42.7731049Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:46:42.7731456Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:46:42.7731839Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:46:42.7732246Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:46:42.7732632Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:46:42.7733164Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:46:42.7733556Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:46:42.7733938Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:46:42.7734451Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:46:42.7734837Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:46:42.7735239Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:46:42.7735615Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:46:42.7735990Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:46:42.7736386Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:46:42.7736768Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:46:42.7737157Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:46:42.7737536Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:46:42.7737936Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:46:42.7738316Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:46:42.7738719Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:46:42.7739196Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:46:42.7739577Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:46:42.7739969Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:46:42.7740357Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:46:42.7740762Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:46:42.7741146Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:46:42.7741533Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:46:42.7741919Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:46:42.7742288Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:46:42.7742691Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:46:42.7743072Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:46:42.7743469Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:46:42.7743861Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:46:42.7744263Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:46:42.7744738Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:46:42.7745217Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:46:42.7745617Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:46:42.7746008Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:46:42.7746409Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:46:42.7746793Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:46:42.7747187Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:46:42.7747577Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:46:42.7747968Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:46:42.7748354Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:46:42.7748754Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:46:42.7749144Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:46:42.7749653Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:46:42.7754683Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:46:42.7755151Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:46:42.7755556Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:46:42.7755948Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:46:42.7756335Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:42.7756739Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:46:42.7757131Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:46:42.7757528Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:46:42.7757906Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:46:42.7758306Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:46:42.7758695Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:46:42.7759082Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:46:42.7759494Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:46:42.7760088Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:46:42.7760501Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:46:42.7760891Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:46:42.7761287Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:46:42.7761663Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:46:42.7762076Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:46:42.7762471Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:46:42.7762859Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:46:42.7763252Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:46:42.7763647Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:46:42.7764058Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:46:42.7764450Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:46:42.7764843Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:46:42.7765338Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:46:42.7765738Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:46:42.7766123Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:46:42.7766502Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:46:42.7766901Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:46:42.7767301Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:46:42.7767710Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:46:42.7768100Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:46:42.7768508Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:46:42.7768902Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:46:42.7769295Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:46:42.7769707Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:46:42.7770090Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T07:46:42.7770501Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:46:42.7771010Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:46:42.7771414Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:46:42.7771795Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:46:42.7772200Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:46:42.7772593Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:46:42.7773146Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:46:42.7773567Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:46:42.7773945Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:46:42.7774359Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:46:42.7774743Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:46:42.7775138Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:46:42.7775519Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:46:42.7776054Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:46:42.7776467Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:46:42.7776853Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:46:42.7777233Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:46:42.7777637Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:46:42.7778033Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:46:42.7778420Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:46:42.7778820Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:46:42.7779236Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:46:42.7779618Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:46:42.7780028Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:46:42.7780424Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:46:42.7780820Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:46:42.7781232Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:46:42.7781715Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:46:42.7782121Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:46:42.7782512Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:46:42.7782905Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:46:42.7783278Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:46:42.7783655Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:46:42.7784063Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:46:42.7784459Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:46:42.7784946Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:46:42.7785344Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:46:42.7785739Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:46:42.7786143Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:46:42.7786546Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:46:42.7787044Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:46:42.7787434Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:46:42.7787835Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:46:42.7788218Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:46:42.7788617Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:46:42.7788992Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:46:42.7789404Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:46:42.7789790Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:46:42.7790191Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:46:42.7790571Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:46:42.7790956Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:46:42.7791344Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:46:42.7791724Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:46:42.7792123Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:46:42.7792594Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:46:42.7792986Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:46:42.7793375Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:46:42.7793758Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:46:42.7794160Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:46:42.7794558Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:46:42.7794976Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:46:42.7795364Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:46:42.7795761Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:46:42.7796144Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:46:42.7796555Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:46:42.7796939Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:46:42.7797435Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:46:42.7797840Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:46:42.7798227Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:46:42.7798627Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:46:42.7799012Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:46:42.7799416Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:46:42.7799789Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:46:42.7800172Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:46:42.7800582Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:46:42.7800987Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:46:42.7801385Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:46:42.7801777Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:46:42.7802188Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:46:42.7802575Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:46:42.7803085Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:46:42.7803472Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:46:42.7803850Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:46:42.7804256Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:46:42.7804652Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:46:42.7805045Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:46:42.7805440Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:46:42.7805841Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:46:42.7806224Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:46:42.7806640Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:46:42.7807032Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:46:42.7807421Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:46:42.7807822Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:46:42.7808073Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:46:42.7808235Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:46:42.7808380Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:46:42.7808521Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:46:42.7808677Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:46:42.7808818Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:46:42.7808969Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:46:42.7809111Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:46:42.7809263Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:46:42.7809404Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:46:42.7809545Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:46:42.7809704Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:46:42.7809840Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:46:42.7809990Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:46:42.7810127Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:46:42.7810262Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:46:42.7810411Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:46:42.7810550Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:46:42.7810713Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:46:42.7810853Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:46:42.7810999Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:46:42.7811154Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:46:42.7811388Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:46:42.7811552Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:46:42.7811694Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:46:42.7811861Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:46:42.7812013Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:46:42.7812161Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:46:42.7812315Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:46:42.7812465Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:46:42.7812620Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:46:42.7812932Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:46:42.7813078Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:46:42.7813241Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:46:42.7813389Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:46:42.7813551Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:46:42.7813698Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:46:42.7813849Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:46:42.7814011Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:46:42.7814159Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:46:42.7814314Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:46:42.7814574Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:46:42.7814733Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:46:42.7814884Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:46:42.7815031Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:46:42.7815193Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:46:42.7815338Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:46:42.7815500Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:46:42.7815647Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:46:42.7815787Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:46:42.7815951Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:46:42.7816101Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:46:42.7816261Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:46:42.7816411Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:46:42.7816560Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:46:42.7816719Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:46:42.7816871Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:46:42.7817036Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:46:42.7817184Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:46:42.7817332Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:46:42.7817494Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:46:42.7817646Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:46:42.7817800Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:46:42.7818077Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:46:42.7818238Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:46:42.7818385Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:46:42.7818527Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:46:42.7818688Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:46:42.7818829Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:46:42.7818981Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:46:42.7819126Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:46:42.7819269Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:46:42.7819424Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:46:42.7819576Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:46:42.7819744Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:46:42.7819894Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:46:42.7820042Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:46:42.7820200Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:46:42.7820341Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:46:42.7820501Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:46:42.7820640Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:46:42.7820798Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:46:42.7821052Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:46:42.7821200Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:46:42.7821363Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:46:42.7821510Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:46:42.7821669Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:46:42.7821815Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:46:42.7821957Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:46:42.7822119Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:46:42.7822267Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:46:42.7822428Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:46:42.7822581Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:46:42.7822725Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:46:42.7822893Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:46:42.7823041Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:46:42.7823203Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:46:42.7823345Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:46:42.7823505Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:46:42.7823652Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:46:42.7823798Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:46:42.7823959Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:46:42.7824107Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:46:42.7824266Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:46:42.7824503Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:46:42.7824654Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:46:42.7824893Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:46:42.7825056Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:46:42.7825223Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:46:42.7825366Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:46:42.7825512Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:46:42.7825837Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:46:42.7825999Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:46:42.7826153Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:46:42.7826308Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:46:42.7826456Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:46:42.7826605Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:46:42.7826759Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:46:42.7826907Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:46:42.7827066Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:46:42.7827216Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:46:42.7827376Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:46:42.7827523Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:46:42.7827832Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:46:42.7827985Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:46:42.7828134Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:46:42.7828296Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:46:42.7828444Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:46:42.7828589Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:46:42.7828745Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:46:42.7828892Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:46:42.7829052Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:46:42.7829199Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:46:42.7829345Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:46:42.7829505Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:46:42.7829654Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:46:42.7829810Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:46:42.7829956Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:46:42.7830115Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:46:42.7830261Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:46:42.7830407Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:46:42.7830564Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:46:42.7830711Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:46:42.7830867Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:46:42.7831021Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:46:42.7831168Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:46:42.7831440Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:46:42.7831586Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:46:42.7831745Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:46:42.7831891Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:46:42.7832038Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:46:42.7832197Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:46:42.7832344Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:46:42.7832505Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:46:42.7832657Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:46:42.7832817Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:46:42.7832958Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:46:42.7833105Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:46:42.7833264Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:46:42.7833411Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:46:42.7833565Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:46:42.7833710Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:46:42.7833856Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:46:42.7834015Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:46:42.7834156Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:46:42.7834425Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:46:42.7834583Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:46:42.7834735Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:46:42.7834893Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:46:42.7835042Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:46:42.7835205Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:46:42.7835350Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:46:42.7835509Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:46:42.7835656Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:46:42.7835805Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:46:42.7835970Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:46:42.7836116Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:46:42.7836277Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:46:42.7836423Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:46:42.7836572Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:46:42.7836733Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:46:42.7836875Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:46:42.7837034Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:46:42.7837180Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:46:42.7837325Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:46:42.7837487Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:46:42.7837633Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:46:42.7837905Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:46:42.7838059Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:46:42.7838219Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:46:42.7838366Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:46:42.7838506Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:46:42.7838662Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:46:42.7838809Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:46:42.7838967Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:46:42.7839108Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:46:42.7839261Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:46:42.7839431Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:46:42.7839581Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:46:42.7839739Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:46:42.7839886Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:46:42.7840032Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:46:42.7840190Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:46:42.7840338Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:46:42.7840496Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:46:42.7840644Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:46:42.7840887Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:46:42.7841047Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:46:42.7841190Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:46:42.7841347Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:46:42.7841494Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:46:42.7841655Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:46:42.7841802Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:46:42.7841949Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:46:42.7842110Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:46:42.7842258Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:46:42.7842422Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:46:42.7842569Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:46:42.7842715Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:46:42.7842873Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:46:42.7843023Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:46:42.7843181Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:46:42.7843328Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:46:42.7843476Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:46:42.7843633Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:46:42.7843779Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:46:42.7843940Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:46:42.7844086Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:46:42.7844335Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:46:42.7844481Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:46:42.7844626Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:46:42.7844788Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:46:42.7844935Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:46:42.7845092Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:46:42.7845242Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:46:42.7845384Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:46:42.7845541Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:46:42.7845691Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:46:42.7845855Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:46:42.7846002Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:46:42.7846151Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:46:42.7846315Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:46:42.7846462Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:46:42.7846620Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:46:42.7846782Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:46:42.7846952Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:46:42.7847109Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:46:43.4669369Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:46:43.4694764Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:43.4699146Z ##[endgroup] 2025-09-07T07:46:43.4699621Z ##[group]Determining the checkout info 2025-09-07T07:46:43.4700108Z ##[endgroup] 2025-09-07T07:46:43.4703791Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:46:43.4749197Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:46:43.4775204Z ##[group]Checking out the ref 2025-09-07T07:46:43.4778839Z [command]/usr/bin/git checkout --progress 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Updating files: 100% (19405/19405) 2025-09-07T07:46:49.2991252Z Updating files: 100% (19405/19405), done. 2025-09-07T07:46:49.3261005Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:46:49.3261365Z 2025-09-07T07:46:49.3261586Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:46:49.3262154Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:46:49.3262752Z state without impacting any branches by switching back to a branch. 2025-09-07T07:46:49.3263077Z 2025-09-07T07:46:49.3263286Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:46:49.3263818Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:46:49.3264122Z 2025-09-07T07:46:49.3264234Z git switch -c 2025-09-07T07:46:49.3264433Z 2025-09-07T07:46:49.3264551Z Or undo this operation with: 2025-09-07T07:46:49.3264732Z 2025-09-07T07:46:49.3264887Z git switch - 2025-09-07T07:46:49.3265032Z 2025-09-07T07:46:49.3265271Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:46:49.3265635Z 2025-09-07T07:46:49.3265819Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:46:49.3370984Z ##[endgroup] 2025-09-07T07:46:49.3371444Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:46:49.3376603Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:46:49.3415762Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:46:49.3444887Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:46:49.3480572Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:46:49.3506503Z ##[endgroup] 2025-09-07T07:46:49.3506912Z ##[group]Fetching submodules 2025-09-07T07:46:49.3509869Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:46:49.3754556Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:46:49.3998741Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:46:49.4008277Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:46:49.4018293Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:46:49.4028637Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:46:49.4038786Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:46:49.4049249Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:46:49.4059517Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:46:49.4070119Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:46:49.4080576Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:46:49.4091183Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:46:49.4102128Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:46:49.4112552Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:46:49.4123466Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:46:49.4134590Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:46:49.4146319Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:46:49.4157627Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:46:49.4169036Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:46:49.4180165Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:46:49.4191827Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:46:49.4202888Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:46:49.4214816Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:46:49.4226260Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:46:49.4237427Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:46:49.4249916Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:46:49.4261489Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:46:49.4273074Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:46:49.4284217Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:46:49.4295754Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:46:49.4307761Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:46:49.4319091Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:46:49.4330816Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:46:49.4342191Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:46:49.4354383Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:46:49.4366107Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:46:49.4378079Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:46:49.4390143Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:46:49.4402190Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:46:49.4432251Z Cloning into '/home/eve/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:46:50.3044101Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:46:51.1686393Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:46:51.4576077Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:46:51.8471389Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:46:52.3941831Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:46:53.7478374Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:47:08.1480449Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:47:15.4805827Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:47:16.4996264Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:47:22.7608148Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:47:23.7710431Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:47:24.9028404Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:47:28.0396026Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:47:31.9718166Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:47:33.9211775Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:47:34.5830990Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:47:35.9358686Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:47:37.0525861Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:47:37.5500145Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:47:38.0956845Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:47:39.1545002Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:47:39.6158133Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:47:40.1788346Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:47:41.5052486Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:47:42.1048437Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:47:43.0710873Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:47:51.6789307Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:47:57.0206695Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:48:05.1950863Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:48:05.5507464Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:48:14.9480346Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:48:15.2259465Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:48:15.5824539Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:48:16.6023921Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:48:17.0353599Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:48:17.9711040Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:48:18.5113149Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:48:18.5240947Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:48:18.5336626Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:48:18.5583614Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:48:18.6371237Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:48:18.6957273Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:48:19.4147717Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:48:19.5841474Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:48:19.5877656Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:48:19.5904973Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:48:25.3411897Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:48:25.4368973Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:48:25.8960846Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:48:26.2729287Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:48:26.6454452Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:48:26.7179800Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:48:27.5794783Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:48:27.7409897Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:48:27.7444184Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:48:27.7454225Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:48:27.7464837Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:48:27.7475055Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:48:27.7485526Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:48:27.7496072Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:48:27.7506792Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:48:27.7534271Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:48:29.0527106Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:48:30.1770162Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:48:30.9669820Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:48:32.9745811Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:48:33.9949920Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:48:34.4365992Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:48:44.8223294Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:48:45.0737270Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:48:45.1822228Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:48:46.0287746Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:48:46.0770849Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:46.0895955Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:48:46.1913756Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:48:46.2597035Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:48:46.2627938Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:48:46.2638450Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:48:46.2664251Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:48:51.3426756Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:48:57.7567678Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:48:58.3641418Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:48:58.7525859Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:48:58.8464609Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:48:58.9175194Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:48:58.9807999Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:48:59.0539930Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:48:59.1017068Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:48:59.1417067Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:48:59.1441941Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:49:20.8747390Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:49:20.9129573Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:49:21.0248593Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:49:21.0549123Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:49:21.0875175Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:49:21.1121017Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:49:21.1147831Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:49:22.3413224Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:49:24.5917845Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:49:26.5244644Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:49:26.5926456Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:49:26.6689165Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:49:26.7042571Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:49:26.7388273Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:49:26.7759490Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:49:26.8025127Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:49:26.8402658Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:49:26.8830417Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:49:26.9714289Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:49:29.4427268Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:49:30.4149079Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:49:32.9555534Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:49:34.4244764Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:49:36.2539262Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:49:38.8403680Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:49:54.4789283Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:49:55.7363684Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:49:55.8134969Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:49:55.8783520Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:49:55.9249406Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:49:55.9530910Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:49:55.9556611Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:49:56.8859117Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:49:56.9288102Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:49:56.9854171Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:49:57.1151652Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:49:57.1428917Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:49:57.1969997Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:49:57.2732560Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:49:57.4554407Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:49:57.6097311Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:49:57.7496068Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:49:58.9719204Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:49:59.0022097Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:49:59.0622733Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:50:01.0636314Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:50:01.1546338Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:50:01.1867151Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:50:01.2079408Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:50:01.2421459Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:50:01.2630340Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:50:01.2989133Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:50:01.3181937Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:50:01.3509109Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:50:01.3782551Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:50:01.3813166Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:50:02.9505817Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:50:05.1507707Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:50:06.2136871Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:50:23.0194326Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:50:23.8404753Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:50:24.6113519Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:50:25.5339412Z Cloning into '/home/eve/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:50:38.1421901Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:50:38.2034063Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:50:38.2453294Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:50:38.3683051Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:50:38.4028874Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:50:38.4370882Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out 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'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:03.5939806Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:03.5990688Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:03.6050157Z Entering 'third_party/pocketfft' 2025-09-07T07:51:03.6092257Z Entering 'third_party/protobuf' 2025-09-07T07:51:03.6149489Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:03.6189505Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:03.6233125Z Entering 'third_party/psimd' 2025-09-07T07:51:03.6275144Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:03.6317239Z Entering 'third_party/pybind11' 2025-09-07T07:51:03.6360762Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:03.6403710Z Entering 'third_party/sleef' 2025-09-07T07:51:03.6446526Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:03.6488857Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:03.6531701Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:03.6572419Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:03.6615630Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:03.6657765Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:03.6718079Z [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" 2025-09-07T07:51:03.6954061Z Entering 'android/libs/fbjni' 2025-09-07T07:51:03.7207062Z file:/home/eve/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:51:03.7225656Z Entering 'third_party/FP16' 2025-09-07T07:51:03.7410068Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config 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Entering 'third_party/aiter' 2025-09-07T07:51:03.8668491Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:51:03.8688325Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:03.8912911Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:51:03.8940367Z Entering 'third_party/benchmark' 2025-09-07T07:51:03.9054164Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:03.9072736Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:03.9257628Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:51:03.9285163Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:03.9425121Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:51:03.9443321Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:03.9598430Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:51:03.9617999Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:03.9720619Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:51:03.9739828Z Entering 'third_party/cutlass' 2025-09-07T07:51:03.9910333Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:51:03.9939028Z Entering 'third_party/fbgemm' 2025-09-07T07:51:04.0150189Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:51:04.0170340Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:04.0437792Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:51:04.0455490Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:04.0597525Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:51:04.0623310Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:04.0846935Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:51:04.0865076Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:04.1038471Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:51:04.1067245Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:04.1192894Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:51:04.1210181Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:04.1415412Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:51:04.1432505Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:04.1623922Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:51:04.1644534Z Entering 'third_party/flash-attention' 2025-09-07T07:51:04.1791484Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:51:04.1809417Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:04.1913168Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:51:04.1937192Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:04.2141810Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:51:04.2168352Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:04.4000794Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:51:04.4024171Z Entering 'third_party/fmt' 2025-09-07T07:51:04.5703039Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:51:04.5723235Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:04.6750599Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:51:04.6770468Z Entering 'third_party/gloo' 2025-09-07T07:51:04.7046430Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:51:04.7065921Z Entering 'third_party/googletest' 2025-09-07T07:51:04.7914900Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:04.7933574Z Entering 'third_party/ideep' 2025-09-07T07:51:04.9093159Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:51:04.9111074Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:04.9218248Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:51:04.9244736Z Entering 'third_party/ittapi' 2025-09-07T07:51:04.9448526Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:51:04.9466921Z Entering 'third_party/kineto' 2025-09-07T07:51:04.9643845Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:51:04.9661531Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:04.9803682Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:51:04.9824736Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:05.0000573Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:51:05.0020080Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:05.0163319Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:51:05.0181114Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:05.0406379Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:51:05.0424766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:05.0574365Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:51:05.0591307Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:05.0791749Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:51:05.0811344Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:05.0966020Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:51:05.0984303Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:05.1118727Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:05.1136739Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:05.1280111Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:51:05.1299086Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:05.2602781Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:51:05.2624232Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:05.2731815Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:51:05.2749533Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:05.2860710Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:51:05.2881489Z Entering 'third_party/kleidiai' 2025-09-07T07:51:05.3007844Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:51:05.3027377Z Entering 'third_party/mimalloc' 2025-09-07T07:51:05.3164510Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:51:05.3183643Z Entering 'third_party/nlohmann' 2025-09-07T07:51:05.3342046Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:51:05.3362712Z Entering 'third_party/onnx' 2025-09-07T07:51:05.3549688Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:51:05.3587275Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:05.3768604Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:51:05.3789357Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:05.3897879Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:51:05.3918129Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:05.4014272Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:05.4032133Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:05.4247196Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:05.4264465Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:05.4452423Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:51:05.4470682Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:05.4636044Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:51:05.4655339Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:05.4776019Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:51:05.4793806Z Entering 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third_party/NNPACK (c07e3a0) 2025-09-07T07:51:10.5197578Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-09-07T07:51:10.5476482Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-09-07T07:51:10.5994695Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-09-07T07:51:10.6032737Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-09-07T07:51:10.6058383Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 2025-09-07T07:51:10.6140423Z 7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d) 2025-09-07T07:51:10.6279792Z 89c932f313c6437c38f2982869beacc89c2f2246 third_party/cpp-httplib (v0.26.0) 2025-09-07T07:51:10.6399978Z 5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244) 2025-09-07T07:51:10.6438722Z 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2025-09-07T07:51:12.8745034Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:12.8769981Z http.https://github.com/.extraheader 2025-09-07T07:51:12.8829897Z Entering 'third_party/fmt' 2025-09-07T07:51:12.8855181Z http.https://github.com/.extraheader 2025-09-07T07:51:12.8951028Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:12.8977039Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9054554Z Entering 'third_party/gloo' 2025-09-07T07:51:12.9081037Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9180541Z Entering 'third_party/googletest' 2025-09-07T07:51:12.9206037Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9286697Z Entering 'third_party/ideep' 2025-09-07T07:51:12.9312379Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9413936Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:12.9438471Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9593721Z Entering 'third_party/ittapi' 2025-09-07T07:51:12.9619528Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9737152Z Entering 'third_party/kineto' 2025-09-07T07:51:12.9764361Z http.https://github.com/.extraheader 2025-09-07T07:51:12.9854493Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:12.9878771Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0002208Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:13.0026962Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0095981Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:13.0120542Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0186727Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:13.0210506Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0323898Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:13.0348303Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0455563Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:13.0479637Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0567919Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:13.0592545Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0745697Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:13.0770536Z http.https://github.com/.extraheader 2025-09-07T07:51:13.0819849Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:13.0843616Z http.https://github.com/.extraheader 2025-09-07T07:51:13.2346591Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:13.2372617Z http.https://github.com/.extraheader 2025-09-07T07:51:13.2518888Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:13.2545596Z http.https://github.com/.extraheader 2025-09-07T07:51:13.2631942Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:13.2657185Z http.https://github.com/.extraheader 2025-09-07T07:51:13.2924388Z Entering 'third_party/kleidiai' 2025-09-07T07:51:13.2949879Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3042695Z Entering 'third_party/mimalloc' 2025-09-07T07:51:13.3068263Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3122178Z Entering 'third_party/nlohmann' 2025-09-07T07:51:13.3147334Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3233291Z Entering 'third_party/onnx' 2025-09-07T07:51:13.3259384Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3492994Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:13.3517391Z http.https://github.com/.extraheader 2025-09-07T07:51:13.3688534Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:13.3713887Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4006893Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:13.4031386Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4243058Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:13.4266807Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4351538Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:13.4376132Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4551419Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:13.4576725Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4800287Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:13.4824971Z http.https://github.com/.extraheader 2025-09-07T07:51:13.4907829Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:13.4931912Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5029023Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:13.5053628Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5132212Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:13.5156344Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5256014Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:13.5280315Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5731427Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:13.5755255Z http.https://github.com/.extraheader 2025-09-07T07:51:13.5929237Z Entering 'third_party/pocketfft' 2025-09-07T07:51:13.5953690Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6022295Z Entering 'third_party/protobuf' 2025-09-07T07:51:13.6047780Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6160495Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:13.6185134Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6298369Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:13.6323593Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6441804Z Entering 'third_party/psimd' 2025-09-07T07:51:13.6467136Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6531985Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:13.6556753Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6612623Z Entering 'third_party/pybind11' 2025-09-07T07:51:13.6637950Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6766168Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:13.6791054Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6844245Z Entering 'third_party/sleef' 2025-09-07T07:51:13.6869310Z http.https://github.com/.extraheader 2025-09-07T07:51:13.6965192Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:13.6991360Z 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##[group]Fetching the repository 2025-09-07T07:51:13.8292517Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:51:14.6954753Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:51:14.6978316Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:51:14.6983184Z ##[endgroup] 2025-09-07T07:51:14.6983637Z ##[group]Determining the checkout info 2025-09-07T07:51:14.6984158Z ##[endgroup] 2025-09-07T07:51:14.6987877Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:51:14.7842877Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:51:14.7985606Z ##[group]Checking out the ref 2025-09-07T07:51:14.7990659Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:51:14.8858492Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:51:14.8865877Z ##[endgroup] 2025-09-07T07:51:14.8866313Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:51:14.8871389Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:51:14.9092442Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:51:14.9119231Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:51:14.9180213Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:51:14.9211142Z ##[endgroup] 2025-09-07T07:51:14.9211745Z ##[group]Fetching submodules 2025-09-07T07:51:14.9214752Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:51:14.9540284Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T07:51:14.9669533Z Synchronizing submodule url for 'third_party/FP16' 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Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-09-07T07:51:15.2780378Z Synchronizing submodule url for 'third_party/cutlass' 2025-09-07T07:51:15.2926564Z Synchronizing submodule url for 'third_party/fbgemm' 2025-09-07T07:51:15.3139070Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:15.3195047Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:15.3403460Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:15.3503677Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:15.3733367Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:15.3872575Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:15.4055882Z Synchronizing submodule url for 'third_party/fbgemm/external/json' 2025-09-07T07:51:15.4193004Z Synchronizing submodule url for 'third_party/flash-attention' 2025-09-07T07:51:15.4336766Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:15.4458938Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:15.4581352Z Synchronizing submodule url for 'third_party/flatbuffers' 2025-09-07T07:51:15.4630772Z Synchronizing submodule url for 'third_party/fmt' 2025-09-07T07:51:15.4709210Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:15.4857925Z Synchronizing submodule url for 'third_party/gloo' 2025-09-07T07:51:15.4956793Z Synchronizing submodule url for 'third_party/googletest' 2025-09-07T07:51:15.5009137Z Synchronizing submodule url for 'third_party/ideep' 2025-09-07T07:51:15.5120079Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:15.5272470Z Synchronizing submodule url for 'third_party/ittapi' 2025-09-07T07:51:15.5392567Z Synchronizing submodule url for 'third_party/kineto' 2025-09-07T07:51:15.5588153Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:15.5706503Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:15.5872532Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:15.5938431Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:15.6118779Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:15.6225347Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:15.6376287Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:15.6520391Z Synchronizing submodule url for 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'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:16.1281280Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:16.1366692Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:16.1528801Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T07:51:16.1877259Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T07:51:16.2317520Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:16.2725949Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:16.3252964Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T07:51:16.3661827Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T07:51:16.3893188Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T07:51:16.4151352Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T07:51:16.4556603Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T07:51:16.4827964Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T07:51:16.5124891Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:16.5357676Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:16.5680217Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:16.6742645Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:16.6813629Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:16.6846582Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:51:16.7299948Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:51:16.7670743Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:51:16.7853382Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:51:16.8535124Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:51:17.0018673Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:51:17.0481938Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:51:18.0349833Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:51:18.2882603Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:51:19.0253651Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:51:19.0558166Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:51:19.5642972Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:51:19.7424795Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:51:19.9488769Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:51:20.0083010Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:51:21.0935926Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:51:21.3621960Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:51:21.4856525Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:51:21.6350628Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:51:21.8363732Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:51:21.8690058Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:51:21.9099428Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:51:21.9241357Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:51:22.0415911Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:51:22.2328022Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:51:22.6328672Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:51:23.2638253Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:51:23.6017008Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:51:23.6411438Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:51:23.6894651Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:51:23.7212517Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:51:23.7676346Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:51:23.9007181Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:51:25.1295624Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:51:25.1610645Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:51:25.2002543Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:51:25.3743604Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:51:25.5879445Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:51:25.6042751Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:51:25.6380446Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:51:25.6525458Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:51:25.6618666Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:51:25.6784152Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:51:25.7170605Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:51:25.8159975Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:51:25.8328014Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:51:25.8634109Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:51:25.9233199Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:51:25.9715124Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:51:26.0325878Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:51:26.1623915Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:51:26.4291412Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:51:26.4645907Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:51:26.5336833Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:51:26.5521773Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:51:26.5905893Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:51:26.6034678Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:51:26.7198009Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:51:26.7358962Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:51:26.7505497Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:51:26.7642711Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:51:27.1306290Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:51:27.1701884Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:51:27.4146117Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:51:27.4275719Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:51:27.7863884Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:51:27.8003075Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:51:27.8454243Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:51:27.8549227Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:51:27.8699136Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:51:27.9085547Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:51:27.9594251Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:51:28.0145339Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:51:28.0368584Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:51:28.0560295Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:51:28.0719675Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:51:28.1293141Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:51:28.1546016Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T07:51:28.1636959Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T07:51:28.1675150Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T07:51:28.1910701Z Entering 'android/libs/fbjni' 2025-09-07T07:51:28.1948828Z Entering 'third_party/FP16' 2025-09-07T07:51:28.1987187Z Entering 'third_party/FXdiv' 2025-09-07T07:51:28.2024692Z Entering 'third_party/NNPACK' 2025-09-07T07:51:28.2063696Z Entering 'third_party/NVTX' 2025-09-07T07:51:28.2103355Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:28.2142774Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:28.2199674Z Entering 'third_party/aiter' 2025-09-07T07:51:28.2238973Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:28.2287586Z Entering 'third_party/benchmark' 2025-09-07T07:51:28.2327392Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:28.2377111Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:28.2414785Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:28.2455333Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:28.2493984Z Entering 'third_party/cutlass' 2025-09-07T07:51:28.2543217Z Entering 'third_party/fbgemm' 2025-09-07T07:51:28.2585297Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:28.2621404Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:28.2665830Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:28.2702363Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:28.2750734Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:28.2787115Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:28.2822794Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:28.2864152Z Entering 'third_party/flash-attention' 2025-09-07T07:51:28.2902565Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:28.2947244Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:28.2994672Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:28.3036243Z Entering 'third_party/fmt' 2025-09-07T07:51:28.3075823Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:28.3113595Z Entering 'third_party/gloo' 2025-09-07T07:51:28.3154967Z Entering 'third_party/googletest' 2025-09-07T07:51:28.3195786Z Entering 'third_party/ideep' 2025-09-07T07:51:28.3235565Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:28.3281547Z Entering 'third_party/ittapi' 2025-09-07T07:51:28.3319863Z Entering 'third_party/kineto' 2025-09-07T07:51:28.3359753Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:28.3399080Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:28.3437561Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:28.3474320Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:28.3515586Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:28.3553672Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:28.3592443Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:28.3630833Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:28.3668095Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:28.3708138Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:28.3746545Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:28.3784464Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:28.3822291Z Entering 'third_party/kleidiai' 2025-09-07T07:51:28.3864094Z Entering 'third_party/mimalloc' 2025-09-07T07:51:28.3901950Z Entering 'third_party/nlohmann' 2025-09-07T07:51:28.3940967Z Entering 'third_party/onnx' 2025-09-07T07:51:28.3998045Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:28.4036995Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:28.4077045Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:28.4113205Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:28.4151095Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:28.4189175Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:28.4738770Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:28.4776238Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:28.4814496Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:28.4848737Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:28.4886291Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:28.4924885Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:28.4986824Z Entering 'third_party/pocketfft' 2025-09-07T07:51:28.5027105Z Entering 'third_party/protobuf' 2025-09-07T07:51:28.5069159Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:28.5104880Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:28.5143590Z Entering 'third_party/psimd' 2025-09-07T07:51:28.5181633Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:28.5220033Z Entering 'third_party/pybind11' 2025-09-07T07:51:28.5258739Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:28.5300575Z Entering 'third_party/sleef' 2025-09-07T07:51:28.5338860Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:28.5379155Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:28.5414743Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:28.5450128Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:28.5486092Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:28.5524586Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:28.5573362Z ##[endgroup] 2025-09-07T07:51:28.5573793Z ##[group]Persisting credentials for submodules 2025-09-07T07:51:28.5580473Z [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' || :" 2025-09-07T07:51:28.5816230Z Entering 'android/libs/fbjni' 2025-09-07T07:51:28.5840367Z url.https://github.com/.insteadof 2025-09-07T07:51:28.5840740Z url.https://github.com/.insteadof 2025-09-07T07:51:28.5873635Z Entering 'third_party/FP16' 2025-09-07T07:51:28.5899923Z url.https://github.com/.insteadof 2025-09-07T07:51:28.5900318Z url.https://github.com/.insteadof 2025-09-07T07:51:28.5930644Z Entering 'third_party/FXdiv' 2025-09-07T07:51:28.5955444Z url.https://github.com/.insteadof 2025-09-07T07:51:28.5956072Z url.https://github.com/.insteadof 2025-09-07T07:51:28.5986502Z Entering 'third_party/NNPACK' 2025-09-07T07:51:28.6011059Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6011408Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6041888Z Entering 'third_party/NVTX' 2025-09-07T07:51:28.6067432Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6067766Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6099118Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:28.6123796Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6124152Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6154952Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:28.6181050Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6181406Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6229085Z Entering 'third_party/aiter' 2025-09-07T07:51:28.6254359Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6254694Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6285873Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:28.6310130Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6310485Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6350806Z Entering 'third_party/benchmark' 2025-09-07T07:51:28.6377197Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6377547Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6408537Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:28.6434338Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6434668Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6473599Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:28.6498988Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6499342Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6529938Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:28.6555870Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6556222Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6588259Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:28.6613247Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6613579Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6643818Z Entering 'third_party/cutlass' 2025-09-07T07:51:28.6669743Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6670095Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6710869Z Entering 'third_party/fbgemm' 2025-09-07T07:51:28.6736345Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6736701Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6769626Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:28.6793488Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6793842Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6824060Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:28.6848187Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6848543Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6887054Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:28.6911388Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6911749Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6942167Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:28.6966327Z url.https://github.com/.insteadof 2025-09-07T07:51:28.6966677Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7006087Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:28.7030275Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7030614Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7060341Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:28.7084418Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7084759Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7114155Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:28.7138595Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7138958Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7172685Z Entering 'third_party/flash-attention' 2025-09-07T07:51:28.7197433Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7197979Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7229864Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:28.7253900Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7254229Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7292467Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:28.7316584Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7316939Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7359551Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:28.7384246Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7384662Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7419198Z Entering 'third_party/fmt' 2025-09-07T07:51:28.7444201Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7444551Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7475056Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:28.7501078Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7501436Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7532093Z Entering 'third_party/gloo' 2025-09-07T07:51:28.7556871Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7557225Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7587304Z Entering 'third_party/googletest' 2025-09-07T07:51:28.7611790Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7612118Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7643021Z Entering 'third_party/ideep' 2025-09-07T07:51:28.7668830Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7669174Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7698858Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:28.7722039Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7722384Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7761561Z Entering 'third_party/ittapi' 2025-09-07T07:51:28.7786868Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7787192Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7818792Z Entering 'third_party/kineto' 2025-09-07T07:51:28.7843698Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7844047Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7874188Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:28.7898513Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7898868Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7929071Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:28.7952679Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7953040Z url.https://github.com/.insteadof 2025-09-07T07:51:28.7984939Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:28.8008787Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8009139Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8039691Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:28.8064793Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8065137Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8099488Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:28.8123866Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8124219Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8153434Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:28.8177068Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8177425Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8209044Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:28.8233404Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8233755Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8263471Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:28.8287246Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8287589Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8317668Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:28.8341559Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8341902Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8374452Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:28.8398563Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8398925Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8430723Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:28.8454457Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8454801Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8484905Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:28.8509065Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8509396Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8541607Z Entering 'third_party/kleidiai' 2025-09-07T07:51:28.8565768Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8566117Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8600353Z Entering 'third_party/mimalloc' 2025-09-07T07:51:28.8624714Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8625069Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8655662Z Entering 'third_party/nlohmann' 2025-09-07T07:51:28.8679904Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8680224Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8716411Z Entering 'third_party/onnx' 2025-09-07T07:51:28.8741582Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8741922Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8791563Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:28.8816090Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8816437Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8849210Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:28.8875238Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8875639Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8907666Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:28.8930709Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8931051Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8960557Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:28.8984738Z url.https://github.com/.insteadof 2025-09-07T07:51:28.8985101Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9015112Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:28.9038681Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9039025Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9068529Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:28.9092140Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9092478Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9123941Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:28.9147967Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9148328Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9178331Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:28.9201791Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9202147Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9232027Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:28.9256960Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9257299Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9285735Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:28.9309413Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9309766Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9342155Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:28.9365734Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9366100Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9401844Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:28.9425794Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9426142Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9479441Z Entering 'third_party/pocketfft' 2025-09-07T07:51:28.9504444Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9504853Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9535656Z Entering 'third_party/protobuf' 2025-09-07T07:51:28.9560551Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9560901Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9595162Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:28.9619222Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9619580Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9649616Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:28.9674060Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9674427Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9706435Z Entering 'third_party/psimd' 2025-09-07T07:51:28.9731489Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9731854Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9761905Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:28.9786748Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9787094Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9817495Z Entering 'third_party/pybind11' 2025-09-07T07:51:28.9842499Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9842848Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9874353Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:28.9900236Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9900576Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9930405Z Entering 'third_party/sleef' 2025-09-07T07:51:28.9954944Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9955291Z url.https://github.com/.insteadof 2025-09-07T07:51:28.9985768Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:29.0010365Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0010700Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0041903Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:29.0065497Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0065838Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0095987Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:29.0119440Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0119796Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0151535Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:29.0176359Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0176717Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0207046Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:29.0231045Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0231366Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0263641Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:29.0287381Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0287723Z url.https://github.com/.insteadof 2025-09-07T07:51:29.0338356Z [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" 2025-09-07T07:51:29.0576292Z Entering 'android/libs/fbjni' 2025-09-07T07:51:29.0614035Z file:/home/eve/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:51:29.0631942Z Entering 'third_party/FP16' 2025-09-07T07:51:29.0670362Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:51:29.0687655Z Entering 'third_party/FXdiv' 2025-09-07T07:51:29.0725095Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:51:29.0743194Z Entering 'third_party/NNPACK' 2025-09-07T07:51:29.0780377Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T07:51:29.0798940Z Entering 'third_party/NVTX' 2025-09-07T07:51:29.0837403Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T07:51:29.0856486Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:29.0894670Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T07:51:29.0912804Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:29.0951885Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T07:51:29.0986273Z Entering 'third_party/aiter' 2025-09-07T07:51:29.1026331Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T07:51:29.1045891Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:29.1082618Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T07:51:29.1110717Z Entering 'third_party/benchmark' 2025-09-07T07:51:29.1148897Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:29.1167552Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:29.1206272Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T07:51:29.1234079Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:29.1275379Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T07:51:29.1293934Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:29.1332190Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T07:51:29.1350996Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:29.1391433Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T07:51:29.1416769Z Entering 'third_party/cutlass' 2025-09-07T07:51:29.1446700Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T07:51:29.1475179Z Entering 'third_party/fbgemm' 2025-09-07T07:51:29.1513826Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T07:51:29.1535417Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:29.1572406Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T07:51:29.1590420Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:29.1628800Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T07:51:29.1653868Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:29.1690031Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T07:51:29.1707866Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:29.1744990Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T07:51:29.1771590Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:29.1808865Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T07:51:29.1826873Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:29.1864141Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T07:51:29.1880879Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:29.1918071Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T07:51:29.1938825Z Entering 'third_party/flash-attention' 2025-09-07T07:51:29.1981272Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T07:51:29.2000356Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:29.2037303Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T07:51:29.2060985Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:29.2098569Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T07:51:29.2126830Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:29.2164858Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T07:51:29.2187203Z Entering 'third_party/fmt' 2025-09-07T07:51:29.2225951Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:51:29.2244894Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:29.2283431Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T07:51:29.2302648Z Entering 'third_party/gloo' 2025-09-07T07:51:29.2341377Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T07:51:29.2359700Z Entering 'third_party/googletest' 2025-09-07T07:51:29.2398315Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:29.2417193Z Entering 'third_party/ideep' 2025-09-07T07:51:29.2456628Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T07:51:29.2473736Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:29.2510720Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T07:51:29.2537350Z Entering 'third_party/ittapi' 2025-09-07T07:51:29.2575960Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T07:51:29.2593945Z Entering 'third_party/kineto' 2025-09-07T07:51:29.2633760Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T07:51:29.2651650Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:29.2689319Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T07:51:29.2706983Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:29.2743318Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T07:51:29.2762334Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:29.2800470Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T07:51:29.2818942Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:29.2856430Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T07:51:29.2874111Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:29.2913355Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T07:51:29.2930036Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:29.2968027Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:51:29.2988157Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:29.3026598Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:51:29.3044139Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:29.3083154Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:29.3101095Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:29.3138946Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T07:51:29.3157537Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:29.3196162Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T07:51:29.3215562Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:29.3252547Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T07:51:29.3270054Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:29.3308015Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:51:29.3327758Z Entering 'third_party/kleidiai' 2025-09-07T07:51:29.3366319Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:51:29.3385817Z Entering 'third_party/mimalloc' 2025-09-07T07:51:29.3423592Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:51:29.3442356Z Entering 'third_party/nlohmann' 2025-09-07T07:51:29.3480937Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:51:29.3502548Z Entering 'third_party/onnx' 2025-09-07T07:51:29.3541642Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:51:29.3579034Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:29.3617178Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:51:29.3637625Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:29.3677220Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:51:29.3696994Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:29.3734158Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:29.3751635Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:29.3789246Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:29.3806557Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:29.3843719Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:51:29.3861181Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:29.3898925Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:51:29.3917538Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:29.3956274Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:51:29.3973657Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:29.4010666Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:51:29.4027800Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:29.4065787Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:51:29.4082231Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:29.4120064Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:51:29.4139917Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:29.4177815Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:51:29.4197378Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:29.4235127Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:51:29.4274941Z Entering 'third_party/pocketfft' 2025-09-07T07:51:29.4313940Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:51:29.4331956Z Entering 'third_party/protobuf' 2025-09-07T07:51:29.4370296Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:51:29.4392119Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:29.4428508Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:51:29.4446389Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:29.4482718Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:29.4502537Z Entering 'third_party/psimd' 2025-09-07T07:51:29.4543833Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:51:29.4561886Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:29.4599240Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:51:29.4617845Z Entering 'third_party/pybind11' 2025-09-07T07:51:29.4659745Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:51:29.4678244Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:29.4716487Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:51:29.4735372Z Entering 'third_party/sleef' 2025-09-07T07:51:29.4773502Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:51:29.4792214Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:29.4831057Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:51:29.4848896Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:29.4885408Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:51:29.4904275Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:29.4941497Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:51:29.4959019Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:29.4996875Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:51:29.5015315Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:29.5052609Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:51:29.5068633Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:29.5105704Z file:/home/eve/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:51:29.5315679Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:51:29.5552333Z Entering 'android/libs/fbjni' 2025-09-07T07:51:29.5590129Z Entering 'third_party/FP16' 2025-09-07T07:51:29.5628614Z Entering 'third_party/FXdiv' 2025-09-07T07:51:29.5666984Z Entering 'third_party/NNPACK' 2025-09-07T07:51:29.5705289Z Entering 'third_party/NVTX' 2025-09-07T07:51:29.5744084Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:29.5782050Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:29.5835844Z Entering 'third_party/aiter' 2025-09-07T07:51:29.5874162Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:29.5919710Z Entering 'third_party/benchmark' 2025-09-07T07:51:29.5958629Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:29.6004955Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:29.6043144Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:29.6081270Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:29.6119002Z Entering 'third_party/cutlass' 2025-09-07T07:51:29.6167344Z Entering 'third_party/fbgemm' 2025-09-07T07:51:29.6208940Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:29.6245432Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:29.6288767Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:29.6324617Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:29.6370850Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:29.6406507Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:29.6442241Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:29.6481840Z Entering 'third_party/flash-attention' 2025-09-07T07:51:29.6521412Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:29.6563483Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:29.6611005Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:29.6651392Z Entering 'third_party/fmt' 2025-09-07T07:51:29.6689410Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:29.6727419Z Entering 'third_party/gloo' 2025-09-07T07:51:29.6765367Z Entering 'third_party/googletest' 2025-09-07T07:51:29.6802720Z Entering 'third_party/ideep' 2025-09-07T07:51:29.6839772Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:29.6884965Z Entering 'third_party/ittapi' 2025-09-07T07:51:29.6921905Z Entering 'third_party/kineto' 2025-09-07T07:51:29.6960522Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:29.6996199Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:29.7033312Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:29.7071564Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:29.7108110Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:29.7143559Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:29.7181600Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:29.7218076Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:29.7258067Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:29.7296013Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:29.7333552Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:29.7368528Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:29.7405964Z Entering 'third_party/kleidiai' 2025-09-07T07:51:29.7443656Z Entering 'third_party/mimalloc' 2025-09-07T07:51:29.7484105Z Entering 'third_party/nlohmann' 2025-09-07T07:51:29.7522691Z Entering 'third_party/onnx' 2025-09-07T07:51:29.7579182Z Entering 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'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:29.7982940Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:29.8040144Z Entering 'third_party/pocketfft' 2025-09-07T07:51:29.8078486Z Entering 'third_party/protobuf' 2025-09-07T07:51:29.8118964Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:29.8154304Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:29.8193028Z Entering 'third_party/psimd' 2025-09-07T07:51:29.8230652Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:29.8268029Z Entering 'third_party/pybind11' 2025-09-07T07:51:29.8305537Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:29.8342824Z Entering 'third_party/sleef' 2025-09-07T07:51:29.8380950Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:29.8419466Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:29.8458919Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:29.8494442Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:29.8533536Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:29.8568596Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:29.8622009Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:51:29.8858154Z Entering 'android/libs/fbjni' 2025-09-07T07:51:29.8895110Z Entering 'third_party/FP16' 2025-09-07T07:51:29.8933424Z Entering 'third_party/FXdiv' 2025-09-07T07:51:29.8970340Z Entering 'third_party/NNPACK' 2025-09-07T07:51:29.9008053Z Entering 'third_party/NVTX' 2025-09-07T07:51:29.9046644Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:51:29.9084987Z Entering 'third_party/XNNPACK' 2025-09-07T07:51:29.9139122Z Entering 'third_party/aiter' 2025-09-07T07:51:29.9177855Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:51:29.9223469Z Entering 'third_party/benchmark' 2025-09-07T07:51:29.9613598Z Entering 'third_party/composable_kernel' 2025-09-07T07:51:29.9660461Z Entering 'third_party/cpp-httplib' 2025-09-07T07:51:29.9699023Z Entering 'third_party/cpuinfo' 2025-09-07T07:51:29.9737349Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:51:29.9779938Z Entering 'third_party/cutlass' 2025-09-07T07:51:29.9827162Z Entering 'third_party/fbgemm' 2025-09-07T07:51:29.9867010Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:51:29.9902481Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:51:29.9946510Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:51:29.9982321Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:51:30.0027148Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:51:30.0063400Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:51:30.0098364Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:51:30.0136947Z Entering 'third_party/flash-attention' 2025-09-07T07:51:30.0175623Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:51:30.0217672Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:51:30.0263890Z Entering 'third_party/flatbuffers' 2025-09-07T07:51:30.0304022Z Entering 'third_party/fmt' 2025-09-07T07:51:30.0344233Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:51:30.0382014Z Entering 'third_party/gloo' 2025-09-07T07:51:30.0422196Z Entering 'third_party/googletest' 2025-09-07T07:51:30.0459252Z Entering 'third_party/ideep' 2025-09-07T07:51:30.0496504Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:51:30.0540142Z Entering 'third_party/ittapi' 2025-09-07T07:51:30.0578112Z Entering 'third_party/kineto' 2025-09-07T07:51:30.0617967Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:51:30.0653571Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:51:30.0691498Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:51:30.0728345Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:51:30.0765331Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:51:30.0801223Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:51:30.0839562Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:51:30.0877284Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:51:30.0913782Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:51:30.0950795Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:51:30.0989843Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:51:30.1026396Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:51:30.1064334Z Entering 'third_party/kleidiai' 2025-09-07T07:51:30.1102273Z Entering 'third_party/mimalloc' 2025-09-07T07:51:30.1140339Z Entering 'third_party/nlohmann' 2025-09-07T07:51:30.1179468Z Entering 'third_party/onnx' 2025-09-07T07:51:30.1236412Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:51:30.1275567Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:51:30.1315284Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:51:30.1350677Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:51:30.1387484Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:51:30.1422602Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:51:30.1461542Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:51:30.1497673Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:51:30.1534817Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:51:30.1569608Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:51:30.1607789Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:51:30.1646115Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:51:30.1704615Z Entering 'third_party/pocketfft' 2025-09-07T07:51:30.1742359Z Entering 'third_party/protobuf' 2025-09-07T07:51:30.1783427Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:51:30.1818938Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:51:30.1857435Z Entering 'third_party/psimd' 2025-09-07T07:51:30.1895071Z Entering 'third_party/pthreadpool' 2025-09-07T07:51:30.1932115Z Entering 'third_party/pybind11' 2025-09-07T07:51:30.1970380Z Entering 'third_party/python-peachpy' 2025-09-07T07:51:30.2007774Z Entering 'third_party/sleef' 2025-09-07T07:51:30.2045462Z Entering 'third_party/tensorpipe' 2025-09-07T07:51:30.2082759Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:51:30.2118432Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:51:30.2154364Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:51:30.2190162Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:51:30.2226204Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:51:30.2274667Z ##[endgroup] 2025-09-07T07:51:30.2310987Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:51:30.2333533Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:51:30.2505590Z Prepare all required actions 2025-09-07T07:51:30.2506191Z Getting action download info 2025-09-07T07:51:30.5743065Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:51:30.5743405Z env: 2025-09-07T07:51:30.5743625Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.5743878Z ##[endgroup] 2025-09-07T07:51:30.5781313Z ##[group]Run set -euo pipefail 2025-09-07T07:51:30.5781705Z set -euo pipefail 2025-09-07T07:51:30.5781993Z function get_ec2_metadata() { 2025-09-07T07:51:30.5782381Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:51:30.5783027Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:51:30.5783601Z  category=$1 2025-09-07T07:51:30.5783977Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:51:30.5784428Z  runner_name_str=i-01a21955dc3821a00-1005 2025-09-07T07:51:30.5784968Z  if [[ -f /.inarc ]]; then 2025-09-07T07:51:30.5785326Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:51:30.5785908Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:51:30.5786394Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:51:30.5786838Z  else 2025-09-07T07:51:30.5787723Z  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}" 2025-09-07T07:51:30.5788655Z  fi 2025-09-07T07:51:30.5788864Z } 2025-09-07T07:51:30.5789136Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:51:30.5789577Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:51:30.5790067Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:51:30.5790488Z echo "system info $(uname -a)" 2025-09-07T07:51:30.5803511Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:30.5803904Z env: 2025-09-07T07:51:30.5804151Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.5804419Z ##[endgroup] 2025-09-07T07:51:30.5839552Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:51:30.5844535Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T07:51:30.5849417Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T07:51:30.5859669Z system info Linux 295bee9cdda6 6.5.0-1024-aws #24~22.04.1-Ubuntu SMP Thu Jul 18 10:43:12 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:51:30.5877670Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:51:30.5878631Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:51:30.5890883Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:30.5891272Z env: 2025-09-07T07:51:30.5891484Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.5891762Z ##[endgroup] 2025-09-07T07:51:30.5977607Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:51:30.5977907Z with: 2025-09-07T07:51:30.5978116Z shell: bash 2025-09-07T07:51:30.5978348Z timeout_minutes: 5 2025-09-07T07:51:30.5978601Z max_attempts: 3 2025-09-07T07:51:30.5978833Z retry_wait_seconds: 30 2025-09-07T07:51:30.5981400Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:51:30.5983791Z polling_interval_seconds: 1 2025-09-07T07:51:30.5984101Z warning_on_retry: true 2025-09-07T07:51:30.5984373Z continue_on_error: false 2025-09-07T07:51:30.5984738Z env: 2025-09-07T07:51:30.5984943Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:30.5985221Z AWS_RETRY_MODE: standard 2025-09-07T07:51:30.5985489Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:51:30.5985754Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:51:30.5986023Z ##[endgroup] 2025-09-07T07:51:32.2024735Z 2025-09-07T07:51:32.2025378Z WARNING! Your credentials are stored unencrypted in '/home/eve/.docker/config.json'. 2025-09-07T07:51:32.2026010Z Configure a credential helper to remove this warning. See 2025-09-07T07:51:32.2026466Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:51:32.2026729Z 2025-09-07T07:51:32.2026823Z Login Succeeded 2025-09-07T07:51:32.6773386Z Command completed after 1 attempt(s). 2025-09-07T07:51:32.6835687Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:51:32.6836243Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:51:32.6836866Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:51:32.6849749Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:32.6850130Z env: 2025-09-07T07:51:32.6850358Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:32.6850624Z ##[endgroup] 2025-09-07T07:51:32.6929370Z ##[group]Run set +e 2025-09-07T07:51:32.6929669Z set +e 2025-09-07T07:51:32.6929903Z set -x 2025-09-07T07:51:32.6930128Z  2025-09-07T07:51:32.6930366Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:51:32.6930958Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:51:32.6931745Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:51:32.6932313Z # one is returned at random 2025-09-07T07:51:32.6932725Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:51:32.6933295Z  2025-09-07T07:51:32.6933535Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:51:32.6933974Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:51:32.6934510Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:51:32.6934897Z  2025-09-07T07:51:32.6935133Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:51:32.6935521Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:51:32.6935886Z  exit 1 2025-09-07T07:51:32.6936108Z  fi 2025-09-07T07:51:32.6936324Z fi 2025-09-07T07:51:32.6936530Z  2025-09-07T07:51:32.6936790Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:51:32.6937149Z  # Clean up any old records first 2025-09-07T07:51:32.6937529Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:51:32.6937864Z fi 2025-09-07T07:51:32.6938084Z  2025-09-07T07:51:32.6938387Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:51:32.6938794Z cat /etc/hosts 2025-09-07T07:51:32.6950544Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:32.6950936Z env: 2025-09-07T07:51:32.6951158Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:32.6951410Z ##[endgroup] 2025-09-07T07:51:32.6977508Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:51:32.6982700Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:51:32.6983499Z ++ tail -n1 2025-09-07T07:51:32.7179203Z + RESOLVED_IP=3.170.131.53 2025-09-07T07:51:32.7179733Z + '[' -z 3.170.131.53 ']' 2025-09-07T07:51:32.7180083Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:51:32.7192333Z + echo '3.170.131.53 download.pytorch.org' 2025-09-07T07:51:32.7193214Z + sudo tee -a /etc/hosts 2025-09-07T07:51:32.7246184Z 3.170.131.53 download.pytorch.org 2025-09-07T07:51:32.7257621Z + cat /etc/hosts 2025-09-07T07:51:32.7264321Z 127.0.0.1 localhost 2025-09-07T07:51:32.7268265Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T07:51:32.7268645Z fe00:: ip6-localnet 2025-09-07T07:51:32.7268898Z ff00:: ip6-mcastprefix 2025-09-07T07:51:32.7269152Z ff02::1 ip6-allnodes 2025-09-07T07:51:32.7269391Z ff02::2 ip6-allrouters 2025-09-07T07:51:32.7269673Z 172.17.0.2 295bee9cdda6 2025-09-07T07:51:32.7269937Z 3.170.131.53 download.pytorch.org 2025-09-07T07:51:32.7288647Z ##[group]Run set +x 2025-09-07T07:51:32.7288932Z set +x 2025-09-07T07:51:32.7289164Z  2025-09-07T07:51:32.7289379Z max_attempts=30 2025-09-07T07:51:32.7289652Z delay=10 2025-09-07T07:51:32.7289892Z attempt=1 2025-09-07T07:51:32.7290129Z  2025-09-07T07:51:32.7290384Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T07:51:32.7290941Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T07:51:32.7291469Z  if docker info > /dev/null 2>&1; then 2025-09-07T07:51:32.7292048Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T07:51:32.7292459Z  exit 0 2025-09-07T07:51:32.7292690Z  else 2025-09-07T07:51:32.7293145Z  echo "Docker is not running yet." 2025-09-07T07:51:32.7293520Z  echo "Retrying in $delay seconds..." 2025-09-07T07:51:32.7293866Z  sleep $delay 2025-09-07T07:51:32.7294115Z  fi 2025-09-07T07:51:32.7294343Z done 2025-09-07T07:51:32.7294697Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T07:51:32.7295128Z exit 1 2025-09-07T07:51:32.7306707Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:32.7307097Z env: 2025-09-07T07:51:32.7307321Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:32.7307590Z ##[endgroup] 2025-09-07T07:51:32.7342872Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T07:51:32.7721051Z Docker is running. Proceeding with the next steps 2025-09-07T07:51:32.7885633Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:51:32.7886106Z with: 2025-09-07T07:51:32.7887020Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:32.7888054Z use-custom-docker-registry: true 2025-09-07T07:51:32.7888374Z docker-build-dir: .ci/docker 2025-09-07T07:51:32.7888680Z docker-build-script: ./build.sh 2025-09-07T07:51:32.7888974Z working-directory: . 2025-09-07T07:51:32.7889327Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:32.7889734Z force-push: false 2025-09-07T07:51:32.7889970Z env: 2025-09-07T07:51:32.7890172Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:32.7890437Z ##[endgroup] 2025-09-07T07:51:32.7908762Z ##[group]Run set -ex 2025-09-07T07:51:32.7909082Z set -ex 2025-09-07T07:51:32.7909314Z  2025-09-07T07:51:32.7909770Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:51:32.7910453Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:51:32.7911033Z # job could then download the pre-built image as usual 2025-09-07T07:51:32.7911743Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:51:32.7912419Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.7912758Z else 2025-09-07T07:51:32.7913026Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.7913467Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.7913883Z  2025-09-07T07:51:32.7914472Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:51:32.7915117Z  exit 0 2025-09-07T07:51:32.7915345Z fi 2025-09-07T07:51:32.7915561Z  2025-09-07T07:51:32.7915908Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:51:32.7916510Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:51:32.7917061Z  # use it as it is, but first let's extract the tag 2025-09-07T07:51:32.7917556Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:51:32.7918082Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.7918585Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.7918991Z else 2025-09-07T07:51:32.7919266Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:51:32.7919668Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:51:32.7920252Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:51:32.7920603Z  fi 2025-09-07T07:51:32.7921059Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:51:32.7921695Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.7922358Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.7923083Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.7923527Z fi 2025-09-07T07:51:32.7935982Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:32.7936372Z env: 2025-09-07T07:51:32.7936594Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:32.7936871Z REPO_NAME: pytorch 2025-09-07T07:51:32.7938006Z 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 2025-09-07T07:51:32.7939029Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:51:32.7939324Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:51:32.7939712Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:32.7940127Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:51:32.7940414Z CUSTOM_TAG_PREFIX: 2025-09-07T07:51:32.7940659Z ##[endgroup] 2025-09-07T07:51:32.7969085Z + [[ -d .ci/docker ]] 2025-09-07T07:51:32.7969360Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:51:32.7969639Z + [[ true == \t\r\u\e ]] 2025-09-07T07:51:32.7969908Z + echo skip=false 2025-09-07T07:51:32.7971108Z + [[ 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* ]] 2025-09-07T07:51:32.7976606Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:32.7977578Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:51:32.7988332Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:32.7989475Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:32.7991048Z + 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 2025-09-07T07:51:32.8013193Z ##[group]Run set +e 2025-09-07T07:51:32.8013530Z set +e 2025-09-07T07:51:32.8013761Z set -x 2025-09-07T07:51:32.8013990Z  2025-09-07T07:51:32.8014192Z login() { 2025-09-07T07:51:32.8014697Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:51:32.8015224Z } 2025-09-07T07:51:32.8015438Z  2025-09-07T07:51:32.8015640Z retry () { 2025-09-07T07:51:32.8015920Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:51:32.8016244Z } 2025-09-07T07:51:32.8016456Z  2025-09-07T07:51:32.8016679Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:51:32.8016994Z  2025-09-07T07:51:32.8017217Z START_TIME=$(date +%s) 2025-09-07T07:51:32.8017521Z # Wait up to 120 minutes 2025-09-07T07:51:32.8017881Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:51:32.8018388Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:51:32.8018897Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:51:32.8019271Z  exit 0 2025-09-07T07:51:32.8019694Z  fi 2025-09-07T07:51:32.8019905Z  2025-09-07T07:51:32.8020304Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:51:32.8020987Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:51:32.8021669Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:51:32.8022195Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:51:32.8022613Z  # It's a Docker build job, let's build the image 2025-09-07T07:51:32.8022972Z  break 2025-09-07T07:51:32.8023204Z  else 2025-09-07T07:51:32.8023560Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:51:32.8023970Z  sleep 300 2025-09-07T07:51:32.8024217Z  fi 2025-09-07T07:51:32.8024438Z done 2025-09-07T07:51:32.8024761Z  2025-09-07T07:51:32.8025238Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:51:32.8025828Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:51:32.8026354Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:51:32.8026821Z  # if we're on the base branch then use the parent commit 2025-09-07T07:51:32.8027221Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:51:32.8027544Z else 2025-09-07T07:51:32.8027876Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:51:32.8028366Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:51:32.8028741Z fi 2025-09-07T07:51:32.8028947Z  2025-09-07T07:51:32.8029190Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:51:32.8029559Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.8029896Z  2025-09-07T07:51:32.8030370Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:51:32.8030938Z  exit 0 2025-09-07T07:51:32.8031162Z fi 2025-09-07T07:51:32.8031371Z  2025-09-07T07:51:32.8031667Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:51:32.8032367Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:51:32.8032961Z  exit 1 2025-09-07T07:51:32.8033184Z fi 2025-09-07T07:51:32.8033393Z  2025-09-07T07:51:32.8033746Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:51:32.8034424Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:51:32.8035033Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:51:32.8035739Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:51:32.8036523Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:51:32.8036981Z fi 2025-09-07T07:51:32.8037194Z  2025-09-07T07:51:32.8037459Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:51:32.8048956Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:32.8049350Z env: 2025-09-07T07:51:32.8049561Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:32.8049845Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:51:32.8050195Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:51:32.8051249Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:32.8052651Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:32.8053778Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:32.8054180Z DOCKER_PUSH: 2025-09-07T07:51:32.8054415Z ##[endgroup] 2025-09-07T07:51:32.8084283Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:32.8084723Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:32.8086993Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:51:32.8088821Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:33.6993447Z 2025-09-07T07:51:33.6994078Z WARNING! Your credentials are stored unencrypted in '/home/eve/.docker/config.json'. 2025-09-07T07:51:33.6994703Z Configure a credential helper to remove this warning. See 2025-09-07T07:51:33.6995170Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:51:33.6995419Z 2025-09-07T07:51:33.6995510Z Login Succeeded 2025-09-07T07:51:33.7013889Z ++ date +%s 2025-09-07T07:51:33.7022028Z + START_TIME=1757231493 2025-09-07T07:51:33.7025613Z ++ date +%s 2025-09-07T07:51:33.7033267Z + [[ 1757224293 -lt 1757231493 ]] 2025-09-07T07:51:33.7034325Z + 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 2025-09-07T07:51:34.1205610Z { 2025-09-07T07:51:34.1205879Z "schemaVersion": 2, 2025-09-07T07:51:34.1206316Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:51:34.1206771Z "config": { 2025-09-07T07:51:34.1207115Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:51:34.1207514Z "size": 31375, 2025-09-07T07:51:34.1207934Z "digest": "sha256:29d1d8a31b215537637bab7c99e18c255840b899cf7023e4e3cb5efa3270aef8" 2025-09-07T07:51:34.1208411Z }, 2025-09-07T07:51:34.1208615Z "layers": [ 2025-09-07T07:51:34.1208820Z { 2025-09-07T07:51:34.1209194Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1209626Z "size": 30448359, 2025-09-07T07:51:34.1210066Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:51:34.1210545Z }, 2025-09-07T07:51:34.1210740Z { 2025-09-07T07:51:34.1211068Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1211495Z "size": 1554, 2025-09-07T07:51:34.1211895Z "digest": "sha256:171dcef20c49de4bc9268f60e02f111b72c638b0f24c3c5636c5013029db6d30" 2025-09-07T07:51:34.1212369Z }, 2025-09-07T07:51:34.1212565Z { 2025-09-07T07:51:34.1213155Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1213569Z "size": 313297922, 2025-09-07T07:51:34.1214013Z "digest": "sha256:4c92b3f72f1df31fe9f487fc1c27fcf1ba475ffb43abd69056306d1247786e40" 2025-09-07T07:51:34.1214498Z }, 2025-09-07T07:51:34.1214689Z { 2025-09-07T07:51:34.1215011Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1215435Z "size": 792, 2025-09-07T07:51:34.1215939Z "digest": "sha256:744f9ba90a6582eb601b3c20409bb10d6dad635dd118c3975f79721f4c82747c" 2025-09-07T07:51:34.1216412Z }, 2025-09-07T07:51:34.1216608Z { 2025-09-07T07:51:34.1216922Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1217340Z "size": 106, 2025-09-07T07:51:34.1217738Z "digest": "sha256:d3c08322a3326e45849dd80264a047c4f42ba4a2419d35c919542e2890e23934" 2025-09-07T07:51:34.1218203Z }, 2025-09-07T07:51:34.1218384Z { 2025-09-07T07:51:34.1218710Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1219126Z "size": 704, 2025-09-07T07:51:34.1219539Z "digest": "sha256:ffd43b71f3ccf3ba563606231cb1d191eb9dd0052f422d54835e6af350525170" 2025-09-07T07:51:34.1220002Z }, 2025-09-07T07:51:34.1220196Z { 2025-09-07T07:51:34.1220527Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1221275Z "size": 1215, 2025-09-07T07:51:34.1221670Z "digest": "sha256:830692b57f6e2758398ec80c3b67a20441d12696b54ed14f2ecebf926198f7d6" 2025-09-07T07:51:34.1222136Z }, 2025-09-07T07:51:34.1222329Z { 2025-09-07T07:51:34.1222655Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1223063Z "size": 482, 2025-09-07T07:51:34.1223465Z "digest": "sha256:5bad36d184686719399be50830a98939d7dbda2313fb407df5915217483fc6a3" 2025-09-07T07:51:34.1223934Z }, 2025-09-07T07:51:34.1224119Z { 2025-09-07T07:51:34.1237562Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1238038Z "size": 110343614, 2025-09-07T07:51:34.1238490Z "digest": "sha256:0e34fdd9ac5c39eb0a9d2c2d258b26f42bb79d7dc0a22014bf201daa2e033eb4" 2025-09-07T07:51:34.1238975Z }, 2025-09-07T07:51:34.1239175Z { 2025-09-07T07:51:34.1239511Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1239944Z "size": 4786, 2025-09-07T07:51:34.1240605Z "digest": "sha256:3c868a62868ef54f82ac11be8dabe1b4365d000bacfe4c104e08022fc96dd767" 2025-09-07T07:51:34.1241094Z }, 2025-09-07T07:51:34.1241272Z { 2025-09-07T07:51:34.1241612Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1242042Z "size": 1710, 2025-09-07T07:51:34.1242450Z "digest": "sha256:62170a22dd571d55ffccac64c0be17f4006d2498cfbf7c6289325f0899cba005" 2025-09-07T07:51:34.1242935Z }, 2025-09-07T07:51:34.1243134Z { 2025-09-07T07:51:34.1243467Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1243873Z "size": 724, 2025-09-07T07:51:34.1244288Z "digest": "sha256:553c1d23b6c4dbd8ab136d0c3659460391ffa14cb9b43be9d7b2f47f90895697" 2025-09-07T07:51:34.1244768Z }, 2025-09-07T07:51:34.1244959Z { 2025-09-07T07:51:34.1245277Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1245694Z "size": 543, 2025-09-07T07:51:34.1246109Z "digest": "sha256:9408d557a804a7dce00897e03ce9f4f447281eb38ce4bc331098a1f1a5ff0d30" 2025-09-07T07:51:34.1246587Z }, 2025-09-07T07:51:34.1246766Z { 2025-09-07T07:51:34.1247095Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1247517Z "size": 3241148049, 2025-09-07T07:51:34.1247953Z "digest": "sha256:df607cfc7c07db6d442e0274e2be8cdc507df8716717363aa92f2fea069bdd9a" 2025-09-07T07:51:34.1248423Z }, 2025-09-07T07:51:34.1248616Z { 2025-09-07T07:51:34.1248946Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1249364Z "size": 32, 2025-09-07T07:51:34.1249763Z "digest": 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"sha256:32340b97ae50ba7b2918ab40d6f4a8db875afee69318f484e4deb0a1e2ec4beb" 2025-09-07T07:51:34.1338673Z }, 2025-09-07T07:51:34.1338855Z { 2025-09-07T07:51:34.1339182Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1339601Z "size": 32, 2025-09-07T07:51:34.1340106Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:51:34.1340856Z }, 2025-09-07T07:51:34.1341154Z { 2025-09-07T07:51:34.1341606Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1342113Z "size": 109, 2025-09-07T07:51:34.1342703Z "digest": "sha256:5bbb04cd6b57ae13d7cf05ab9e9b4ed9752833ee2dba4eeaac47bde6022c4725" 2025-09-07T07:51:34.1343320Z }, 2025-09-07T07:51:34.1343644Z { 2025-09-07T07:51:34.1344028Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1344652Z "size": 1897, 2025-09-07T07:51:34.1345211Z "digest": "sha256:d8c4b845cfc7ca7cc0604f472bf6da8b1f1d4e98dff3c76e1985a7013a5b9e3f" 2025-09-07T07:51:34.1345810Z }, 2025-09-07T07:51:34.1346092Z { 2025-09-07T07:51:34.1346536Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1347072Z "size": 243440375, 2025-09-07T07:51:34.1347644Z "digest": "sha256:b35c180f4d8ddc2396eac4a6b893f438481a8163ceb0b88f203488bc5f2a8ba4" 2025-09-07T07:51:34.1348177Z }, 2025-09-07T07:51:34.1348545Z { 2025-09-07T07:51:34.1349036Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1349563Z "size": 106, 2025-09-07T07:51:34.1350029Z "digest": "sha256:5f967b3c303a99e609441551f7c8988cca4fd464c0c3127506bff8509583091b" 2025-09-07T07:51:34.1350630Z }, 2025-09-07T07:51:34.1350928Z { 2025-09-07T07:51:34.1351345Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1351923Z "size": 166, 2025-09-07T07:51:34.1352392Z "digest": "sha256:04770904f012e5584f1c19a0bc92d9863baaebf08bf75b4a9981f2b7795c8953" 2025-09-07T07:51:34.1352946Z }, 2025-09-07T07:51:34.1353468Z { 2025-09-07T07:51:34.1353970Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1354429Z "size": 7943, 2025-09-07T07:51:34.1355018Z "digest": "sha256:73373941fb321b4cb4a171b1423a68a4c7fedada3a1498868d7efe93cb03170e" 2025-09-07T07:51:34.1355598Z }, 2025-09-07T07:51:34.1355904Z { 2025-09-07T07:51:34.1356323Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1356844Z "size": 8072, 2025-09-07T07:51:34.1357375Z "digest": "sha256:9572e6cd907bfa4888456dbccc6e22146a0044374585f3fa0a8ced19b831ed62" 2025-09-07T07:51:34.1357982Z }, 2025-09-07T07:51:34.1358232Z { 2025-09-07T07:51:34.1358671Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1359287Z "size": 304, 2025-09-07T07:51:34.1359804Z "digest": "sha256:64a544aba233551e38898f138dd6ba3161ccdb9554e0ffb5b9d8f0f7fe4a7fa8" 2025-09-07T07:51:34.1360433Z }, 2025-09-07T07:51:34.1360682Z { 2025-09-07T07:51:34.1361242Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1361817Z "size": 13362696, 2025-09-07T07:51:34.1362338Z "digest": "sha256:7e35418a24997de5428763c93826679486760a1a9563209ae64de66ba45f99c1" 2025-09-07T07:51:34.1362873Z }, 2025-09-07T07:51:34.1363212Z { 2025-09-07T07:51:34.1363645Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1364159Z "size": 108, 2025-09-07T07:51:34.1364743Z "digest": "sha256:2ed8e82748d4a1131f41d9e41322f47a6ffef67a5a2b7bf5392237db5c035c61" 2025-09-07T07:51:34.1365325Z }, 2025-09-07T07:51:34.1365612Z { 2025-09-07T07:51:34.1366116Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1366592Z "size": 54145663, 2025-09-07T07:51:34.1367117Z "digest": "sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T07:51:34.1367747Z }, 2025-09-07T07:51:34.1368054Z { 2025-09-07T07:51:34.1368425Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:51:34.1368852Z "size": 32, 2025-09-07T07:51:34.1369250Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:51:34.1369733Z } 2025-09-07T07:51:34.1369927Z ] 2025-09-07T07:51:34.1370123Z } 2025-09-07T07:51:34.1370328Z + exit 0 2025-09-07T07:51:34.1396783Z ##[group]Run set -eux 2025-09-07T07:51:34.1397072Z set -eux 2025-09-07T07:51:34.1397500Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:51:34.1398684Z 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 2025-09-07T07:51:34.1412998Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:34.1413383Z env: 2025-09-07T07:51:34.1413606Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:34.1413884Z ##[endgroup] 2025-09-07T07:51:34.1447438Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:51:34.1448498Z + jq --raw-output .SecretString 2025-09-07T07:51:34.1449888Z + jq -r .docker_hub_readonly_token 2025-09-07T07:51:34.1451252Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:51:34.7364060Z 2025-09-07T07:51:34.7365962Z 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 2025-09-07T07:51:34.8216724Z Error: Cannot perform an interactive login from a non TTY device 2025-09-07T07:51:34.8230790Z + true 2025-09-07T07:51:34.8308392Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:51:34.8308772Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:51:34.8309392Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:51:34.8322944Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:34.8323340Z env: 2025-09-07T07:51:34.8323562Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:34.8324538Z 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 2025-09-07T07:51:34.8325816Z ##[endgroup] 2025-09-07T07:51:34.8361688Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:34.8411581Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:51:34.8412030Z with: 2025-09-07T07:51:34.8413105Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:34.8414362Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:34.8414764Z env: 2025-09-07T07:51:34.8414981Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:34.8415247Z ##[endgroup] 2025-09-07T07:51:34.8432516Z ##[group]Run set -x 2025-09-07T07:51:34.8432796Z set -x 2025-09-07T07:51:34.8433028Z set +e 2025-09-07T07:51:34.8433255Z  2025-09-07T07:51:34.8433457Z login() { 2025-09-07T07:51:34.8433947Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:51:34.8434480Z } 2025-09-07T07:51:34.8434693Z  2025-09-07T07:51:34.8434949Z retry () { 2025-09-07T07:51:34.8435231Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:51:34.8435543Z } 2025-09-07T07:51:34.8435756Z  2025-09-07T07:51:34.8435995Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:51:34.8436309Z  2025-09-07T07:51:34.8436808Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:51:34.8437488Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:51:34.8437868Z  2025-09-07T07:51:34.8438079Z set -e 2025-09-07T07:51:34.8438412Z # ignore output since only exit code is used for conditional 2025-09-07T07:51:34.8438912Z # only pull docker image if it's not available locally 2025-09-07T07:51:34.8439629Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:51:34.8440154Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:51:34.8440487Z fi 2025-09-07T07:51:34.8453611Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:51:34.8455877Z env: 2025-09-07T07:51:34.8456105Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:51:34.8457072Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:34.8458176Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:34.8458560Z ##[endgroup] 2025-09-07T07:51:34.8488659Z + set +e 2025-09-07T07:51:34.8489017Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:34.8489678Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:34.8493398Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:51:34.8494076Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:51:35.6936986Z 2025-09-07T07:51:35.6937884Z WARNING! Your credentials are stored unencrypted in '/home/eve/.docker/config.json'. 2025-09-07T07:51:35.6938682Z Configure a credential helper to remove this warning. See 2025-09-07T07:51:35.6939143Z https://docs.docker.com/go/credential-store/ 2025-09-07T07:51:35.6939481Z Login Succeeded 2025-09-07T07:51:35.6940094Z 2025-09-07T07:51:35.6962543Z ++ 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 2025-09-07T07:51:35.6964105Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:51:36.1030835Z + IMAGE_SIZE=36183.606596946716 2025-09-07T07:51:36.1031346Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T07:51:36.1031753Z + set -e 2025-09-07T07:51:36.1033120Z + 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 2025-09-07T07:51:36.1034453Z Compressed size of image in MB: 36183.606596946716 2025-09-07T07:51:36.1147942Z + 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 2025-09-07T07:51:36.1149711Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:51:36.5050071Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:51:36.5050989Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:51:36.5051295Z 171dcef20c49: Pulling fs layer 2025-09-07T07:51:36.5051615Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T07:51:36.5051900Z 744f9ba90a65: Pulling fs layer 2025-09-07T07:51:36.5052203Z d3c08322a332: Pulling fs layer 2025-09-07T07:51:36.5052512Z ffd43b71f3cc: Pulling fs layer 2025-09-07T07:51:36.5053226Z 830692b57f6e: Pulling fs layer 2025-09-07T07:51:36.5053568Z 5bad36d18468: Pulling fs layer 2025-09-07T07:51:36.5053947Z 744f9ba90a65: Waiting 2025-09-07T07:51:36.5054196Z d3c08322a332: Waiting 2025-09-07T07:51:36.5054455Z ffd43b71f3cc: Waiting 2025-09-07T07:51:36.5054710Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T07:51:36.5055072Z 830692b57f6e: Waiting 2025-09-07T07:51:36.5055315Z 3c868a62868e: Pulling fs layer 2025-09-07T07:51:36.5055601Z 62170a22dd57: Pulling fs layer 2025-09-07T07:51:36.5055876Z 5bad36d18468: Waiting 2025-09-07T07:51:36.5056151Z 553c1d23b6c4: Pulling fs layer 2025-09-07T07:51:36.5056423Z 9408d557a804: Pulling fs layer 2025-09-07T07:51:36.5056696Z 0e34fdd9ac5c: Waiting 2025-09-07T07:51:36.5056937Z 3c868a62868e: Waiting 2025-09-07T07:51:36.5057213Z df607cfc7c07: Pulling fs layer 2025-09-07T07:51:36.5057478Z 62170a22dd57: Waiting 2025-09-07T07:51:36.5057717Z 553c1d23b6c4: Waiting 2025-09-07T07:51:36.5057978Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:51:36.5058257Z 9408d557a804: Waiting 2025-09-07T07:51:36.5058487Z df607cfc7c07: Waiting 2025-09-07T07:51:36.5058770Z 40a8e39faeda: Pulling fs layer 2025-09-07T07:51:36.5059065Z d895771c9fac: Pulling fs layer 2025-09-07T07:51:36.5059344Z 4f4fb700ef54: Waiting 2025-09-07T07:51:36.5059607Z 40a8e39faeda: Waiting 2025-09-07T07:51:36.5059859Z c4ee04f39d49: Pulling fs layer 2025-09-07T07:51:36.5060134Z d895771c9fac: Waiting 2025-09-07T07:51:36.5060408Z 3690c9826e48: Pulling fs layer 2025-09-07T07:51:36.5060680Z 57cbc5013733: Pulling fs layer 2025-09-07T07:51:36.5060992Z f5f4b06b58bb: Pulling fs layer 2025-09-07T07:51:36.5061271Z c4ee04f39d49: Waiting 2025-09-07T07:51:36.5061541Z 3690c9826e48: Waiting 2025-09-07T07:51:36.5061768Z 57cbc5013733: Waiting 2025-09-07T07:51:36.5062021Z f59713ce4bf4: Pulling fs layer 2025-09-07T07:51:36.5062299Z f5f4b06b58bb: Waiting 2025-09-07T07:51:36.5062567Z fe0486521517: Pulling fs layer 2025-09-07T07:51:36.5062902Z 8c21cc3715a2: Pulling fs layer 2025-09-07T07:51:36.5063180Z f59713ce4bf4: Waiting 2025-09-07T07:51:36.5063438Z d37c58456a6a: Pulling fs layer 2025-09-07T07:51:36.5063727Z d042f63abc13: Pulling fs layer 2025-09-07T07:51:36.5064055Z 621284a9c05a: Pulling fs layer 2025-09-07T07:51:36.5064335Z d37c58456a6a: Waiting 2025-09-07T07:51:36.5065012Z fe0486521517: Waiting 2025-09-07T07:51:36.5065270Z 85f605d2dd3a: Pulling fs layer 2025-09-07T07:51:36.5065536Z d042f63abc13: Waiting 2025-09-07T07:51:36.5065826Z 8c21cc3715a2: Waiting 2025-09-07T07:51:36.5066071Z 621284a9c05a: Waiting 2025-09-07T07:51:36.5066307Z 381b5539e598: Pulling fs layer 2025-09-07T07:51:36.5066582Z 85f605d2dd3a: Waiting 2025-09-07T07:51:36.5066839Z a487c0c80029: Pulling fs layer 2025-09-07T07:51:36.5067241Z 48bcb81e2566: Pulling fs layer 2025-09-07T07:51:36.5067675Z 381b5539e598: Waiting 2025-09-07T07:51:36.5068087Z a487c0c80029: Waiting 2025-09-07T07:51:36.5068388Z 48bcb81e2566: Waiting 2025-09-07T07:51:36.5068723Z e261928c0043: Pulling fs layer 2025-09-07T07:51:36.5080640Z 0fea55428091: Pulling fs layer 2025-09-07T07:51:36.5081089Z e261928c0043: Waiting 2025-09-07T07:51:36.5081352Z b4291bccbb84: Pulling fs layer 2025-09-07T07:51:36.5081656Z ddc91b09189a: Pulling fs layer 2025-09-07T07:51:36.5081950Z 7540c7428627: Pulling fs layer 2025-09-07T07:51:36.5082240Z 003c4e2598fb: Pulling fs layer 2025-09-07T07:51:36.5082521Z 0fea55428091: Waiting 2025-09-07T07:51:36.5082771Z b4291bccbb84: Waiting 2025-09-07T07:51:36.5083021Z ddc91b09189a: Waiting 2025-09-07T07:51:36.5083261Z 7540c7428627: Waiting 2025-09-07T07:51:36.5083577Z 5687149362ae: Pulling fs layer 2025-09-07T07:51:36.5083869Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T07:51:36.5084167Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T07:51:36.5084458Z 3c9055753b4c: Pulling fs layer 2025-09-07T07:51:36.5084839Z 003c4e2598fb: Waiting 2025-09-07T07:51:36.5085278Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T07:51:36.5085703Z cdd2cf54eb2a: Waiting 2025-09-07T07:51:36.5086039Z d3ad4df1ba3a: Waiting 2025-09-07T07:51:36.5086329Z 6623ea814971: Pulling fs layer 2025-09-07T07:51:36.5086592Z 3c9055753b4c: Waiting 2025-09-07T07:51:36.5086854Z 31cf8d0bd21c: Waiting 2025-09-07T07:51:36.5087209Z 11696c3aa380: Pulling fs layer 2025-09-07T07:51:36.5087502Z ef4d544e35ca: Pulling fs layer 2025-09-07T07:51:36.5087766Z 11696c3aa380: Waiting 2025-09-07T07:51:36.5088014Z 6623ea814971: Waiting 2025-09-07T07:51:36.5088359Z ef4d544e35ca: Waiting 2025-09-07T07:51:36.5088613Z 5c5108865e5e: Pulling fs layer 2025-09-07T07:51:36.5088885Z 9e97578e9edf: Pulling fs layer 2025-09-07T07:51:36.5089172Z da5a91b54cb5: Pulling fs layer 2025-09-07T07:51:36.5089525Z 9e97578e9edf: Waiting 2025-09-07T07:51:36.5089796Z da5a91b54cb5: Waiting 2025-09-07T07:51:36.5090061Z 5c5108865e5e: Waiting 2025-09-07T07:51:36.5090374Z 1e93be219e89: Pulling fs layer 2025-09-07T07:51:36.5090661Z 136825afebb5: Pulling fs layer 2025-09-07T07:51:36.5090935Z 22b39805302d: Pulling fs layer 2025-09-07T07:51:36.5091239Z 1e93be219e89: Waiting 2025-09-07T07:51:36.5091522Z 136825afebb5: Waiting 2025-09-07T07:51:36.5091778Z 22b39805302d: Waiting 2025-09-07T07:51:36.5092020Z d12add675e35: Pulling fs layer 2025-09-07T07:51:36.5092312Z bc127046d33a: Pulling fs layer 2025-09-07T07:51:36.5092591Z d12add675e35: Waiting 2025-09-07T07:51:36.5093034Z 951e8ce83841: Pulling fs layer 2025-09-07T07:51:36.5093303Z bc127046d33a: Waiting 2025-09-07T07:51:36.5093568Z 32340b97ae50: Pulling fs layer 2025-09-07T07:51:36.5093845Z 951e8ce83841: Waiting 2025-09-07T07:51:36.5094105Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T07:51:36.5094389Z d8c4b845cfc7: Pulling fs layer 2025-09-07T07:51:36.5094673Z b35c180f4d8d: Pulling fs layer 2025-09-07T07:51:36.5094947Z 32340b97ae50: Waiting 2025-09-07T07:51:36.5095192Z 5bbb04cd6b57: Waiting 2025-09-07T07:51:36.5095427Z d8c4b845cfc7: Waiting 2025-09-07T07:51:36.5095680Z 5f967b3c303a: Pulling fs layer 2025-09-07T07:51:36.5095968Z 04770904f012: Pulling fs layer 2025-09-07T07:51:36.5096238Z b35c180f4d8d: Waiting 2025-09-07T07:51:36.5096477Z 73373941fb32: Pulling fs layer 2025-09-07T07:51:36.5096799Z 5f967b3c303a: Waiting 2025-09-07T07:51:36.5097041Z 04770904f012: Waiting 2025-09-07T07:51:36.5097279Z 73373941fb32: Waiting 2025-09-07T07:51:36.5097515Z 9572e6cd907b: Pulling fs layer 2025-09-07T07:51:36.5097790Z 9572e6cd907b: Waiting 2025-09-07T07:51:36.5098046Z 64a544aba233: Pulling fs layer 2025-09-07T07:51:36.5098581Z 7e35418a2499: Pulling fs layer 2025-09-07T07:51:36.5098870Z 64a544aba233: Waiting 2025-09-07T07:51:36.5099125Z 2ed8e82748d4: Pulling fs layer 2025-09-07T07:51:36.5099403Z 7e35418a2499: Waiting 2025-09-07T07:51:36.5099655Z c988fbcccd70: Pulling fs layer 2025-09-07T07:51:36.5099922Z 2ed8e82748d4: Waiting 2025-09-07T07:51:36.5100170Z c988fbcccd70: Waiting 2025-09-07T07:51:36.6517959Z 171dcef20c49: Verifying Checksum 2025-09-07T07:51:36.6518341Z 171dcef20c49: Download complete 2025-09-07T07:51:36.8090930Z 744f9ba90a65: Verifying Checksum 2025-09-07T07:51:36.8091370Z 744f9ba90a65: Download complete 2025-09-07T07:51:36.9430050Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:51:36.9430667Z e6fdc8487bfe: Download complete 2025-09-07T07:51:36.9733348Z d3c08322a332: Verifying Checksum 2025-09-07T07:51:36.9733736Z d3c08322a332: Download complete 2025-09-07T07:51:37.1019849Z ffd43b71f3cc: Verifying Checksum 2025-09-07T07:51:37.1020224Z ffd43b71f3cc: Download complete 2025-09-07T07:51:37.1363526Z 830692b57f6e: Verifying Checksum 2025-09-07T07:51:37.1363959Z 830692b57f6e: Download complete 2025-09-07T07:51:37.2685128Z 5bad36d18468: Verifying Checksum 2025-09-07T07:51:37.4198474Z 5bad36d18468: Download complete 2025-09-07T07:51:37.4198845Z 3c868a62868e: Verifying Checksum 2025-09-07T07:51:37.4199155Z 3c868a62868e: Download complete 2025-09-07T07:51:37.5673317Z 62170a22dd57: Download complete 2025-09-07T07:51:37.7350880Z 553c1d23b6c4: Download complete 2025-09-07T07:51:37.9320736Z 9408d557a804: Verifying Checksum 2025-09-07T07:51:37.9321134Z 9408d557a804: Download complete 2025-09-07T07:51:37.9430857Z e6fdc8487bfe: Pull complete 2025-09-07T07:51:37.9877384Z 171dcef20c49: Pull complete 2025-09-07T07:51:38.3674482Z 0e34fdd9ac5c: Verifying Checksum 2025-09-07T07:51:38.3674884Z 0e34fdd9ac5c: Download complete 2025-09-07T07:51:38.4180515Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:51:38.4180862Z 4f4fb700ef54: Download complete 2025-09-07T07:51:38.6007003Z 40a8e39faeda: Verifying Checksum 2025-09-07T07:51:38.6007430Z 40a8e39faeda: Download complete 2025-09-07T07:51:39.2742967Z d895771c9fac: Verifying Checksum 2025-09-07T07:51:39.2743363Z d895771c9fac: Download complete 2025-09-07T07:51:39.4383607Z c4ee04f39d49: Verifying Checksum 2025-09-07T07:51:39.4384013Z c4ee04f39d49: Download complete 2025-09-07T07:51:39.6785247Z 3690c9826e48: Verifying Checksum 2025-09-07T07:51:39.6785628Z 3690c9826e48: Download complete 2025-09-07T07:51:39.7827612Z 4c92b3f72f1d: Verifying Checksum 2025-09-07T07:51:39.7827991Z 4c92b3f72f1d: Download complete 2025-09-07T07:51:39.8195975Z 57cbc5013733: Verifying Checksum 2025-09-07T07:51:39.8196326Z 57cbc5013733: Download complete 2025-09-07T07:51:39.9439078Z f5f4b06b58bb: Verifying Checksum 2025-09-07T07:51:39.9439471Z f5f4b06b58bb: Download complete 2025-09-07T07:51:39.9568846Z f59713ce4bf4: Verifying Checksum 2025-09-07T07:51:39.9569203Z f59713ce4bf4: Download complete 2025-09-07T07:51:40.1049555Z fe0486521517: Verifying Checksum 2025-09-07T07:51:40.1049943Z fe0486521517: Download complete 2025-09-07T07:51:40.7696897Z d042f63abc13: Verifying Checksum 2025-09-07T07:51:40.7697300Z d042f63abc13: Download complete 2025-09-07T07:51:40.9259384Z 621284a9c05a: Verifying Checksum 2025-09-07T07:51:40.9259790Z 621284a9c05a: Download complete 2025-09-07T07:51:41.0934289Z 85f605d2dd3a: Download complete 2025-09-07T07:51:45.9473651Z 381b5539e598: Verifying Checksum 2025-09-07T07:51:45.9474055Z 381b5539e598: Download complete 2025-09-07T07:51:46.1008866Z a487c0c80029: Verifying Checksum 2025-09-07T07:51:46.1009571Z a487c0c80029: Download complete 2025-09-07T07:51:46.2608856Z 48bcb81e2566: Verifying Checksum 2025-09-07T07:51:46.2609751Z 48bcb81e2566: Download complete 2025-09-07T07:51:46.4268202Z e261928c0043: Verifying Checksum 2025-09-07T07:51:46.4268605Z e261928c0043: Download complete 2025-09-07T07:51:46.6112118Z 0fea55428091: Verifying Checksum 2025-09-07T07:51:46.6112523Z 0fea55428091: Download complete 2025-09-07T07:51:46.9611384Z b4291bccbb84: Verifying Checksum 2025-09-07T07:51:46.9611790Z b4291bccbb84: Download complete 2025-09-07T07:51:47.2249480Z ddc91b09189a: Verifying Checksum 2025-09-07T07:51:47.2250108Z ddc91b09189a: Download complete 2025-09-07T07:51:47.5490096Z 7540c7428627: Verifying Checksum 2025-09-07T07:51:47.5490478Z 7540c7428627: Download complete 2025-09-07T07:51:47.6904948Z 003c4e2598fb: Verifying Checksum 2025-09-07T07:51:47.6905351Z 003c4e2598fb: Download complete 2025-09-07T07:51:47.8456479Z 5687149362ae: Verifying Checksum 2025-09-07T07:51:47.8456858Z 5687149362ae: Download complete 2025-09-07T07:51:48.0232031Z cdd2cf54eb2a: Verifying Checksum 2025-09-07T07:51:48.0232427Z cdd2cf54eb2a: Download complete 2025-09-07T07:51:55.0188558Z 4c92b3f72f1d: Pull complete 2025-09-07T07:51:56.5497133Z 744f9ba90a65: Pull complete 2025-09-07T07:51:58.1226411Z d3c08322a332: Pull complete 2025-09-07T07:51:59.6719044Z ffd43b71f3cc: Pull complete 2025-09-07T07:52:01.6160266Z 830692b57f6e: Pull complete 2025-09-07T07:52:03.8227622Z 5bad36d18468: Pull complete 2025-09-07T07:52:13.8505562Z 0e34fdd9ac5c: Pull complete 2025-09-07T07:52:15.4143113Z 3c868a62868e: Pull complete 2025-09-07T07:52:16.6589935Z 62170a22dd57: Pull complete 2025-09-07T07:52:18.1380364Z 553c1d23b6c4: Pull complete 2025-09-07T07:52:20.1136949Z 9408d557a804: Pull complete 2025-09-07T07:52:27.0064213Z df607cfc7c07: Download complete 2025-09-07T07:52:27.1581415Z 3c9055753b4c: Verifying Checksum 2025-09-07T07:52:27.1581808Z 3c9055753b4c: Download complete 2025-09-07T07:52:35.2403218Z 31cf8d0bd21c: Download complete 2025-09-07T07:53:21.8974229Z 8c21cc3715a2: Verifying Checksum 2025-09-07T07:53:21.8976181Z 8c21cc3715a2: Download complete 2025-09-07T07:53:22.0542866Z 11696c3aa380: Verifying Checksum 2025-09-07T07:53:22.0543407Z 11696c3aa380: Download complete 2025-09-07T07:53:22.2208772Z ef4d544e35ca: Verifying Checksum 2025-09-07T07:53:22.2209151Z ef4d544e35ca: Download complete 2025-09-07T07:53:22.3701313Z 5c5108865e5e: Verifying Checksum 2025-09-07T07:53:22.3701702Z 5c5108865e5e: Download complete 2025-09-07T07:53:22.8032694Z 9e97578e9edf: Verifying Checksum 2025-09-07T07:53:22.8033102Z 9e97578e9edf: Download complete 2025-09-07T07:53:22.9695413Z da5a91b54cb5: Download complete 2025-09-07T07:53:23.1306473Z 1e93be219e89: Verifying Checksum 2025-09-07T07:53:23.1306871Z 1e93be219e89: Download complete 2025-09-07T07:53:23.2994937Z 136825afebb5: Verifying Checksum 2025-09-07T07:53:23.2995318Z 136825afebb5: Download complete 2025-09-07T07:53:23.4545739Z 22b39805302d: Verifying Checksum 2025-09-07T07:53:23.4546232Z 22b39805302d: Download complete 2025-09-07T07:53:23.6068438Z d12add675e35: Verifying Checksum 2025-09-07T07:53:23.6068851Z d12add675e35: Download complete 2025-09-07T07:53:23.7681590Z bc127046d33a: Download complete 2025-09-07T07:53:23.9409396Z 951e8ce83841: Download complete 2025-09-07T07:53:24.1043851Z 32340b97ae50: Download complete 2025-09-07T07:53:24.2623078Z 5bbb04cd6b57: Verifying Checksum 2025-09-07T07:53:24.2623477Z 5bbb04cd6b57: Download complete 2025-09-07T07:53:24.4423295Z d8c4b845cfc7: Verifying Checksum 2025-09-07T07:53:24.4423680Z d8c4b845cfc7: Download complete 2025-09-07T07:53:56.0337680Z b35c180f4d8d: Verifying Checksum 2025-09-07T07:53:56.0338078Z b35c180f4d8d: Download complete 2025-09-07T07:53:56.1901211Z 5f967b3c303a: Verifying Checksum 2025-09-07T07:53:56.1901614Z 5f967b3c303a: Download complete 2025-09-07T07:53:56.3539329Z 04770904f012: Verifying Checksum 2025-09-07T07:53:56.3539721Z 04770904f012: Download complete 2025-09-07T07:53:56.5164585Z 73373941fb32: Download complete 2025-09-07T07:53:56.6651648Z 9572e6cd907b: Verifying Checksum 2025-09-07T07:53:56.8196111Z 64a544aba233: Verifying Checksum 2025-09-07T07:53:56.8196492Z 64a544aba233: Download complete 2025-09-07T07:53:58.2861118Z 7e35418a2499: Verifying Checksum 2025-09-07T07:53:58.2861505Z 7e35418a2499: Download complete 2025-09-07T07:53:58.4426477Z 2ed8e82748d4: Verifying Checksum 2025-09-07T07:53:58.4426834Z 2ed8e82748d4: Download complete 2025-09-07T07:54:04.8501714Z c988fbcccd70: Verifying Checksum 2025-09-07T07:54:04.8502089Z c988fbcccd70: Download complete 2025-09-07T07:59:51.4385281Z 6623ea814971: Verifying Checksum 2025-09-07T07:59:51.4385654Z 6623ea814971: Download complete 2025-09-07T08:09:09.7819482Z df607cfc7c07: Pull complete 2025-09-07T08:09:12.3716777Z 4f4fb700ef54: Pull complete 2025-09-07T08:09:15.5359798Z 40a8e39faeda: Pull complete 2025-09-07T08:09:46.7402761Z d895771c9fac: Pull complete 2025-09-07T08:09:49.6311271Z c4ee04f39d49: Pull complete 2025-09-07T08:09:53.6298046Z 3690c9826e48: Pull complete 2025-09-07T08:09:56.7130228Z 57cbc5013733: Pull complete 2025-09-07T08:09:59.7381413Z f5f4b06b58bb: Pull complete 2025-09-07T08:10:03.0337390Z f59713ce4bf4: Pull complete 2025-09-07T08:10:06.2128571Z fe0486521517: Pull complete 2025-09-07T08:10:54.5073155Z d3ad4df1ba3a: Verifying Checksum 2025-09-07T08:10:54.5073557Z d3ad4df1ba3a: Download complete 2025-09-07T08:22:34.7410154Z 8c21cc3715a2: Pull complete 2025-09-07T08:22:39.3946740Z d37c58456a6a: Pull complete 2025-09-07T08:22:43.2483289Z d042f63abc13: Pull complete 2025-09-07T08:22:48.0283999Z 621284a9c05a: Pull complete 2025-09-07T08:22:51.2927535Z 85f605d2dd3a: Pull complete 2025-09-07T08:23:14.6319010Z 381b5539e598: Pull complete 2025-09-07T08:23:17.9915619Z a487c0c80029: Pull complete 2025-09-07T08:23:21.3476978Z 48bcb81e2566: Pull complete 2025-09-07T08:23:27.2654397Z e261928c0043: Pull complete 2025-09-07T08:23:31.0785451Z 0fea55428091: Pull complete 2025-09-07T08:23:36.9600759Z b4291bccbb84: Pull complete 2025-09-07T08:23:40.7945596Z ddc91b09189a: Pull complete 2025-09-07T08:23:45.3701930Z 7540c7428627: Pull complete 2025-09-07T08:23:52.2644883Z 003c4e2598fb: Pull complete 2025-09-07T08:23:55.4781814Z 5687149362ae: Pull complete 2025-09-07T08:23:58.4182179Z cdd2cf54eb2a: Pull complete 2025-09-07T08:44:15.1321587Z d3ad4df1ba3a: Pull complete 2025-09-07T08:44:18.4623333Z 3c9055753b4c: Pull complete 2025-09-07T08:44:23.3680191Z 31cf8d0bd21c: Pull complete 2025-09-07T08:46:36.5354993Z 6623ea814971: Pull complete 2025-09-07T08:46:39.6966991Z 11696c3aa380: Pull complete 2025-09-07T08:46:42.2493713Z ef4d544e35ca: Pull complete 2025-09-07T08:46:47.2734263Z 5c5108865e5e: Pull complete 2025-09-07T08:46:52.5277161Z 9e97578e9edf: Pull complete 2025-09-07T08:46:54.8728957Z da5a91b54cb5: Pull complete 2025-09-07T08:47:01.2830373Z 1e93be219e89: Pull complete 2025-09-07T08:47:06.8794174Z 136825afebb5: Pull complete 2025-09-07T08:47:10.8718822Z 22b39805302d: Pull complete 2025-09-07T08:47:15.8771111Z d12add675e35: Pull complete 2025-09-07T08:47:18.9280135Z bc127046d33a: Pull complete 2025-09-07T08:47:23.8579774Z 951e8ce83841: Pull complete 2025-09-07T08:47:26.8869527Z 32340b97ae50: Pull complete 2025-09-07T08:47:31.5145659Z 5bbb04cd6b57: Pull complete 2025-09-07T08:47:33.4041708Z d8c4b845cfc7: Pull complete 2025-09-07T08:48:01.3682754Z b35c180f4d8d: Pull complete 2025-09-07T08:48:04.1067580Z 5f967b3c303a: Pull complete 2025-09-07T08:48:06.4484397Z 04770904f012: Pull complete 2025-09-07T08:48:08.4618263Z 73373941fb32: Pull complete 2025-09-07T08:48:10.4884252Z 9572e6cd907b: Pull complete 2025-09-07T08:48:13.0579910Z 64a544aba233: Pull complete 2025-09-07T08:48:18.8304511Z 7e35418a2499: Pull complete 2025-09-07T08:48:19.6604813Z 2ed8e82748d4: Pull complete 2025-09-07T08:48:30.5425126Z c988fbcccd70: Pull complete 2025-09-07T08:48:33.7606588Z Digest: sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T08:48:34.3143888Z 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 2025-09-07T08:48:34.3837004Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:48:34.4167890Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:48:34.4168896Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T08:48:34.4182601Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:48:34.4182987Z env: 2025-09-07T08:48:34.4183216Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:48:34.4183495Z ##[endgroup] 2025-09-07T08:48:34.4978608Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:48:34.4979311Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T08:48:34.4992112Z shell: /usr/bin/bash -e {0} 2025-09-07T08:48:34.4992407Z env: 2025-09-07T08:48:34.4992628Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:48:34.4992897Z ##[endgroup] 2025-09-07T08:48:34.5293422Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:48:34.5294310Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T08:48:34.5306885Z shell: /usr/bin/bash -e {0} 2025-09-07T08:48:34.5307199Z env: 2025-09-07T08:48:34.5307416Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:48:34.5307761Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:48:34.5308119Z ##[endgroup] 2025-09-07T08:48:34.5534731Z Prepare all required actions 2025-09-07T08:48:34.5626360Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T08:48:34.5626715Z with: 2025-09-07T08:48:34.5627154Z github-token: *** 2025-09-07T08:48:34.5627377Z env: 2025-09-07T08:48:34.5627593Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:48:34.5627935Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:48:34.5628406Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:48:34.5628789Z ##[endgroup] 2025-09-07T08:48:34.5841130Z ##[group]Run set -eux 2025-09-07T08:48:34.5841426Z set -eux 2025-09-07T08:48:34.5841883Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T08:48:34.5855022Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:48:34.5855444Z env: 2025-09-07T08:48:34.5855667Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:48:34.5856013Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:48:34.5856518Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:48:34.5857120Z GITHUB_TOKEN: *** 2025-09-07T08:48:34.5857490Z ##[endgroup] 2025-09-07T08:48:34.6122084Z + python3 .github/scripts/get_workflow_job_id.py 17525309334 i-01a21955dc3821a00-1005 2025-09-07T08:48:35.4341580Z Setting output job-id=49775768401 2025-09-07T08:48:35.4342167Z Setting output job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T08:48:35.4542305Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:48:35.4543070Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T08:48:35.4544056Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T08:48:35.4545058Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T08:48:35.4557765Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:48:35.4558148Z env: 2025-09-07T08:48:35.4558379Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:48:35.4558724Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:48:35.4559192Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:48:35.4559578Z JOB_ID: 49775768401 2025-09-07T08:48:35.4560048Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T08:48:35.4560570Z WORKFLOW_NAME: inductor-A100-perf-nightly 2025-09-07T08:48:35.4560897Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T08:48:35.4561186Z MONITOR_LOG_INTERVAL: 15 2025-09-07T08:48:35.4561473Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T08:48:35.4561983Z ##[endgroup] 2025-09-07T08:48:35.7844254Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:48:36.4637035Z Collecting psutil==5.9.8 2025-09-07T08:48:36.5397300Z 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) 2025-09-07T08:48:36.8609519Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 872.4 kB/s eta 0:00:00 2025-09-07T08:48:37.1424462Z Collecting dataclasses_json==0.6.7 2025-09-07T08:48:37.1533473Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T08:48:37.7579473Z Collecting nvidia-ml-py==11.525.84 2025-09-07T08:48:37.7732224Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T08:48:38.0812478Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T08:48:38.0919083Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T08:48:38.6981911Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T08:48:38.7089365Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T08:48:38.8750320Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 247.9 kB/s eta 0:00:00 2025-09-07T08:48:39.0311381Z Collecting packaging>=17.0 2025-09-07T08:48:39.0416786Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T08:48:39.1444607Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 558.0 kB/s eta 0:00:00 2025-09-07T08:48:39.6268974Z Collecting typing-extensions>=3.7.4 2025-09-07T08:48:39.6375247Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T08:48:39.6922355Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 652.2 kB/s eta 0:00:00 2025-09-07T08:48:39.8341379Z Collecting mypy-extensions>=0.3.0 2025-09-07T08:48:39.8448228Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T08:48:40.1579556Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T08:48:43.8068642Z 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 2025-09-07T08:48:43.8766493Z Prepare all required actions 2025-09-07T08:48:43.8766895Z Getting action download info 2025-09-07T08:48:44.0568254Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T08:48:45.6287598Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T08:48:53.9401527Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T08:48:53.9401906Z with: 2025-09-07T08:48:53.9402165Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:48:53.9402496Z s3-bucket: gha-artifacts 2025-09-07T08:48:53.9402762Z env: 2025-09-07T08:48:53.9402976Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:48:53.9403319Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:48:53.9403790Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:48:53.9404183Z ##[endgroup] 2025-09-07T08:48:53.9935040Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:48:53.9935402Z with: 2025-09-07T08:48:53.9935649Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:48:53.9935998Z s3-bucket: gha-artifacts 2025-09-07T08:48:53.9936271Z region: us-east-1 2025-09-07T08:48:53.9936488Z env: 2025-09-07T08:48:53.9936705Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:48:53.9937049Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:48:53.9937517Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:48:53.9937917Z ##[endgroup] 2025-09-07T08:48:54.7796503Z (node:9476) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:48:54.7797014Z 2025-09-07T08:48:54.7797219Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:48:54.7797774Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:48:54.7798689Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:48:54.8920311Z Found 1 objects with prefix pytorch/pytorch/17525309334/linux-jammy-cuda12.8-py3.10-gcc9-sm80/ 2025-09-07T08:48:54.8921017Z Starting download (1/1): /home/eve/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:49:05.9540437Z Finished download (1/1): /home/eve/_work/pytorch/pytorch/artifacts.zip 2025-09-07T08:49:05.9548982Z Artifact download has finished successfully 2025-09-07T08:49:06.1644438Z ##[group]Run unzip -o artifacts.zip 2025-09-07T08:49:06.1644806Z unzip -o artifacts.zip 2025-09-07T08:49:06.1658816Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:49:06.1659205Z env: 2025-09-07T08:49:06.1659449Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:49:06.1659811Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:49:06.1660296Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:49:06.1660713Z ##[endgroup] 2025-09-07T08:49:06.2717881Z Archive: artifacts.zip 2025-09-07T08:49:06.2719288Z creating: dist/ 2025-09-07T08:49:11.4478975Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T08:49:11.4479477Z creating: dist/vision/ 2025-09-07T08:49:11.4601638Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T08:49:11.4602180Z creating: dist/audio/ 2025-09-07T08:49:11.4660158Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T08:49:11.4660668Z creating: dist/torchrec/ 2025-09-07T08:49:11.4687264Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T08:49:11.4687698Z creating: dist/fbgemm_gpu/ 2025-09-07T08:49:14.2312326Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T08:49:14.2312875Z creating: dist/ao/ 2025-09-07T08:49:14.2354836Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T08:49:14.2487780Z inflating: dist/.ninja_log 2025-09-07T08:49:14.2488241Z creating: build/custom_test_artifacts/ 2025-09-07T08:49:14.2489048Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T08:49:14.2489550Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T08:49:14.2490154Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T08:49:14.2496696Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T08:49:14.2497390Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T08:49:14.2498070Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-09-07T08:49:14.2498793Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-09-07T08:49:14.2499502Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-09-07T08:49:14.2500333Z inflating: 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build/bin/cpu_allocator_test 2025-09-07T08:49:55.1909833Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T08:49:55.2007889Z inflating: build/bin/cpu_rng_test 2025-09-07T08:49:55.2070353Z inflating: build/bin/extension_backend_test 2025-09-07T08:49:55.2125759Z inflating: build/bin/dlconvertor_test 2025-09-07T08:49:55.2185341Z inflating: build/bin/half_test 2025-09-07T08:49:55.2289530Z inflating: build/bin/ivalue_test 2025-09-07T08:49:55.2343451Z inflating: build/bin/lazy_tensor_test 2025-09-07T08:49:55.2402363Z inflating: build/bin/math_kernel_test 2025-09-07T08:49:55.2460498Z inflating: build/bin/memory_format_test 2025-09-07T08:49:55.2517940Z inflating: build/bin/memory_overlapping_test 2025-09-07T08:49:55.2574873Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T08:49:55.2636620Z inflating: build/bin/native_test 2025-09-07T08:49:55.5759174Z inflating: build/bin/operators_test 2025-09-07T08:49:55.5815749Z inflating: build/bin/operator_name_test 2025-09-07T08:49:55.5873092Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T08:49:55.5946001Z inflating: build/bin/pow_test 2025-09-07T08:49:55.6001129Z inflating: build/bin/reduce_ops_test 2025-09-07T08:49:55.6057382Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T08:49:55.6119869Z inflating: build/bin/quantized_test 2025-09-07T08:49:55.6181784Z inflating: build/bin/scalar_tensor_test 2025-09-07T08:49:55.6246489Z inflating: build/bin/scalar_test 2025-09-07T08:49:55.6302605Z inflating: build/bin/StorageUtils_test 2025-09-07T08:49:55.6361369Z inflating: build/bin/stride_properties_test 2025-09-07T08:49:55.6446447Z inflating: build/bin/tensor_iterator_test 2025-09-07T08:49:56.0117681Z inflating: build/bin/thread_init_test 2025-09-07T08:49:56.0959220Z inflating: build/bin/test_parallel 2025-09-07T08:49:56.1019588Z inflating: build/bin/type_ptr_test 2025-09-07T08:49:56.1084396Z inflating: build/bin/type_test 2025-09-07T08:49:56.1142822Z inflating: build/bin/undefined_tensor_test 2025-09-07T08:49:56.1196630Z inflating: build/bin/verify_api_visibility 2025-09-07T08:49:56.1271439Z inflating: build/bin/legacy_vmap_test 2025-09-07T08:49:56.1327020Z inflating: build/bin/weakref_test 2025-09-07T08:49:56.1382732Z inflating: build/bin/wrapdim_test 2025-09-07T08:49:56.1438244Z inflating: build/bin/xla_tensor_test 2025-09-07T08:49:56.1503966Z inflating: build/bin/IListRef_test 2025-09-07T08:49:56.4064703Z inflating: build/bin/List_test 2025-09-07T08:49:56.4838636Z inflating: build/bin/KernelFunction_test 2025-09-07T08:49:56.4967649Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T08:49:56.5069521Z inflating: build/bin/kernel_function_test 2025-09-07T08:49:56.5203137Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T08:49:56.5314263Z inflating: build/bin/kernel_lambda_test 2025-09-07T08:49:56.9825482Z inflating: build/bin/kernel_stackbased_test 2025-09-07T08:49:57.3695459Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T08:49:57.4288999Z inflating: build/bin/CppSignature_test 2025-09-07T08:49:57.4352148Z inflating: build/bin/backend_fallback_test 2025-09-07T08:49:57.4405356Z inflating: build/bin/op_allowlist_test 2025-09-07T08:49:57.4718311Z inflating: build/bin/op_registration_test 2025-09-07T08:49:57.4789258Z inflating: build/bin/inline_container_test 2025-09-07T08:49:57.4846163Z inflating: build/bin/cuda_apply_test 2025-09-07T08:49:57.4910101Z inflating: build/bin/cuda_atomic_ops_test 2025-09-07T08:49:57.8839547Z inflating: build/bin/cuda_allocator_test 2025-09-07T08:49:58.2549691Z inflating: build/bin/cuda_caching_host_allocator_test 2025-09-07T08:49:58.9545314Z inflating: build/bin/cuda_complex_math_test 2025-09-07T08:49:58.9611094Z inflating: build/bin/cuda_complex_test 2025-09-07T08:49:58.9679304Z inflating: build/bin/cuda_cub_test 2025-09-07T08:49:58.9734240Z inflating: build/bin/cuda_device_test 2025-09-07T08:49:58.9804390Z inflating: build/bin/cuda_distributions_test 2025-09-07T08:49:58.9861266Z inflating: build/bin/cuda_dlconvertor_test 2025-09-07T08:49:58.9915765Z inflating: build/bin/cuda_exchange_device_test 2025-09-07T08:49:58.9977568Z inflating: build/bin/cuda_generator_test 2025-09-07T08:49:59.3513264Z inflating: build/bin/cuda_half_test 2025-09-07T08:49:59.3573417Z inflating: build/bin/cuda_integer_divider_test 2025-09-07T08:49:59.3629105Z inflating: build/bin/cuda_optional_test 2025-09-07T08:49:59.3687194Z inflating: build/bin/cuda_reportMemoryUsage_test 2025-09-07T08:49:59.3744819Z inflating: build/bin/cuda_packedtensoraccessor_test 2025-09-07T08:49:59.3800197Z inflating: build/bin/cuda_allocatorTraceTracker_test 2025-09-07T08:49:59.3867075Z inflating: build/bin/cuda_stream_test 2025-09-07T08:49:59.3924069Z inflating: build/bin/cuda_vectorized_test 2025-09-07T08:49:59.3978387Z inflating: build/bin/cuda_cudnn_test 2025-09-07T08:50:00.0595788Z inflating: build/bin/test_nativert 2025-09-07T08:50:00.0657082Z inflating: build/bin/test_dist_autograd 2025-09-07T08:50:00.0732996Z inflating: build/bin/test_cpp_rpc 2025-09-07T08:50:00.1962709Z inflating: build/bin/test_api 2025-09-07T08:50:00.1965099Z inflating: build/bin/parallel_benchmark 2025-09-07T08:50:00.5303924Z inflating: build/bin/ProcessGroupNCCLTest 2025-09-07T08:50:00.8682167Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2025-09-07T08:50:02.2510892Z inflating: build/bin/test_jit 2025-09-07T08:50:02.2581448Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T08:50:02.2645363Z inflating: build/bin/ProcessGroupGlooAsyncTest 2025-09-07T08:50:02.3008665Z inflating: build/bin/test_lazy 2025-09-07T08:50:02.3012505Z inflating: build/bin/torch_shm_manager 2025-09-07T08:50:02.3013243Z creating: .additional_ci_files/ 2025-09-07T08:50:02.3104198Z inflating: .additional_ci_files/test-times.json 2025-09-07T08:50:02.3451660Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T08:50:02.3561801Z ##[group]Run rm artifacts.zip 2025-09-07T08:50:02.3562128Z rm artifacts.zip 2025-09-07T08:50:02.3578352Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:50:02.3578756Z env: 2025-09-07T08:50:02.3578984Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:02.3579329Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:02.3579807Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:02.3580205Z ##[endgroup] 2025-09-07T08:50:03.4437592Z ##[group]Run df -H 2025-09-07T08:50:03.4437857Z df -H 2025-09-07T08:50:03.4451421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:50:03.4451845Z env: 2025-09-07T08:50:03.4452099Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:03.4452477Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:03.4453310Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:03.4453718Z ##[endgroup] 2025-09-07T08:50:03.4919163Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T08:50:03.4919553Z overlay 5.3T 594G 4.7T 12% / 2025-09-07T08:50:03.4919889Z tmpfs 68M 0 68M 0% /dev 2025-09-07T08:50:03.4920220Z shm 68M 0 68M 0% /dev/shm 2025-09-07T08:50:03.4920846Z /dev/root 5.3T 594G 4.7T 12% /home/eve/_work 2025-09-07T08:50:03.4921269Z tmpfs 121G 111k 121G 1% /run/docker.sock 2025-09-07T08:50:03.4921946Z tmpfs 603G 13k 603G 1% /proc/driver/nvidia 2025-09-07T08:50:03.4922434Z tmpfs 241G 1.7M 241G 1% /run/.ro3093014025/nvidia-persistenced/socket 2025-09-07T08:50:03.4922893Z tmpfs 603G 0 603G 0% /proc/acpi 2025-09-07T08:50:03.4923261Z tmpfs 603G 0 603G 0% /proc/scsi 2025-09-07T08:50:03.4923629Z tmpfs 603G 0 603G 0% /sys/firmware 2025-09-07T08:50:03.4958184Z Prepare all required actions 2025-09-07T08:50:03.4958952Z Getting action download info 2025-09-07T08:50:05.3195747Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T08:50:05.3196143Z with: 2025-09-07T08:50:05.3196376Z env: 2025-09-07T08:50:05.3196622Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:05.3196981Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:05.3197494Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:05.3197918Z ##[endgroup] 2025-09-07T08:50:05.3651085Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T08:50:05.3651433Z with: 2025-09-07T08:50:05.3651663Z name: td_results 2025-09-07T08:50:05.3651924Z s3-bucket: gha-artifacts 2025-09-07T08:50:05.3652206Z region: us-east-1 2025-09-07T08:50:05.3652432Z env: 2025-09-07T08:50:05.3652658Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:05.3653311Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:05.3653919Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:05.3654332Z ##[endgroup] 2025-09-07T08:50:06.2496457Z (node:9501) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T08:50:06.2496975Z 2025-09-07T08:50:06.2497188Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T08:50:06.2497775Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T08:50:06.2498362Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T08:50:06.3781169Z Found 0 objects with prefix pytorch/pytorch/17525309334/td_results/ 2025-09-07T08:50:06.6284127Z Artifact download has finished successfully 2025-09-07T08:50:07.0639051Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T08:50:07.0639428Z mkdir -p .additional_ci_files 2025-09-07T08:50:07.0639887Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T08:50:07.0653019Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:50:07.0653431Z env: 2025-09-07T08:50:07.0653663Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:07.0654005Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:07.0654474Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:07.0654857Z ##[endgroup] 2025-09-07T08:50:07.4477868Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T08:50:07.8948201Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T08:50:07.8948576Z .github/scripts/parse_ref.py 2025-09-07T08:50:07.8960603Z shell: /usr/bin/bash -e {0} 2025-09-07T08:50:07.8960900Z env: 2025-09-07T08:50:07.8961129Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:07.8961475Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:07.8961958Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:07.8962357Z ##[endgroup] 2025-09-07T08:50:08.6133231Z Setting output branch=main 2025-09-07T08:50:09.0534002Z Prepare all required actions 2025-09-07T08:50:09.0534470Z Getting action download info 2025-09-07T08:50:09.7765328Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T08:50:09.7765745Z with: 2025-09-07T08:50:09.7766245Z github-token: *** 2025-09-07T08:50:09.7772096Z 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"}]} 2025-09-07T08:50:09.7779146Z job-name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T08:50:09.7779652Z env: 2025-09-07T08:50:09.7779896Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:09.7780259Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:09.7780728Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:09.7781145Z ##[endgroup] 2025-09-07T08:50:10.4449733Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T08:50:10.4450082Z with: 2025-09-07T08:50:10.4450295Z shell: bash 2025-09-07T08:50:10.4450575Z timeout_minutes: 10 2025-09-07T08:50:10.4450826Z max_attempts: 5 2025-09-07T08:50:10.4451089Z retry_wait_seconds: 30 2025-09-07T08:50:10.4451935Z 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 2025-09-07T08:50:10.4453256Z polling_interval_seconds: 1 2025-09-07T08:50:10.4453582Z warning_on_retry: true 2025-09-07T08:50:10.4453858Z continue_on_error: false 2025-09-07T08:50:10.4454149Z env: 2025-09-07T08:50:10.4454393Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:10.4454756Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:10.4455229Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:10.4455861Z GITHUB_TOKEN: *** 2025-09-07T08:50:10.4456130Z ##[endgroup] 2025-09-07T08:50:10.5250019Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T08:50:11.2050875Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T08:50:12.0815520Z Collecting requests==2.27.1 2025-09-07T08:50:12.3354518Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T08:50:13.0009549Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 160.6 kB/s eta 0:00:00 2025-09-07T08:50:13.5886173Z Collecting pyyaml==6.0.2 2025-09-07T08:50:13.6844451Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T08:50:14.3165266Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 1.2 MB/s eta 0:00:00 2025-09-07T08:50:14.3302730Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T08:50:15.0699056Z Collecting charset-normalizer~=2.0.0 2025-09-07T08:50:15.5131019Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T08:50:16.2036971Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T08:50:16.2045069Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T08:50:16.3280552Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T08:50:18.7427270Z WARNING: The script normalizer is installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T08:50:18.7428144Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T08:50:20.2298321Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T08:50:20.5284603Z Command completed after 1 attempt(s). 2025-09-07T08:50:21.1020182Z ##[group]Run set -x 2025-09-07T08:50:21.1020489Z set -x 2025-09-07T08:50:21.1020727Z  2025-09-07T08:50:21.1021116Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:50:21.1021623Z # in runner workspace 2025-09-07T08:50:21.1022031Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T08:50:21.1035406Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:50:21.1035817Z env: 2025-09-07T08:50:21.1036032Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:21.1036405Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:21.1036888Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:21.1037295Z ##[endgroup] 2025-09-07T08:50:21.7367585Z + python3 /home/eve/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T08:50:21.7540829Z Setting output branch=main 2025-09-07T08:50:21.7879267Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:50:21.7879735Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T08:50:21.7880092Z echo "Job name: ${JOB_NAME}" 2025-09-07T08:50:21.7880403Z  2025-09-07T08:50:21.7880801Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T08:50:21.7881330Z # in runner workspace 2025-09-07T08:50:21.7881782Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T08:50:21.7882292Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T08:50:21.7882648Z  --job-name "${JOB_NAME}" \ 2025-09-07T08:50:21.7888743Z  --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"}]}" \ 2025-09-07T08:50:21.7895164Z  --selected-test-configs "" \ 2025-09-07T08:50:21.7895509Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T08:50:21.7895853Z  --tag "${TAG}" \ 2025-09-07T08:50:21.7896162Z  --event-name "${EVENT_NAME}" \ 2025-09-07T08:50:21.7896516Z  --schedule "${SCHEDULE}" \ 2025-09-07T08:50:21.7896835Z  --branch "${HEAD_BRANCH}" 2025-09-07T08:50:21.7909319Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:50:21.7909720Z env: 2025-09-07T08:50:21.7909966Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:21.7910337Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:21.7910801Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:21.7911433Z GITHUB_TOKEN: *** 2025-09-07T08:50:21.7911861Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T08:50:21.7912356Z PR_NUMBER: 2025-09-07T08:50:21.7912580Z TAG: 2025-09-07T08:50:21.7912806Z EVENT_NAME: schedule 2025-09-07T08:50:21.7913073Z SCHEDULE: 0 7 * * 0 2025-09-07T08:50:21.7913325Z HEAD_BRANCH: main 2025-09-07T08:50:21.7913569Z ##[endgroup] 2025-09-07T08:50:21.8315214Z Workflow: inductor-A100-perf-nightly 2025-09-07T08:50:21.8315717Z Job name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T08:50:22.5084266Z Setting output keep-going=True 2025-09-07T08:50:22.5084691Z Setting output ci-verbose-test-logs=False 2025-09-07T08:50:22.5085078Z Setting output ci-test-showlocals=False 2025-09-07T08:50:22.5085473Z Setting output ci-no-test-timeout=False 2025-09-07T08:50:22.5085804Z Setting output ci-no-td=False 2025-09-07T08:50:22.5086139Z Setting output ci-td-distributed=False 2025-09-07T08:50:22.5086488Z Setting output is-unstable=False 2025-09-07T08:50:22.5086821Z Setting output reenabled-issues= 2025-09-07T08:50:22.5093299Z 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"}]} 2025-09-07T08:50:22.5099615Z Setting output is-test-matrix-empty=False 2025-09-07T08:50:23.1370214Z ##[group]Run echo "Filtered matrix:" 2025-09-07T08:50:23.1370854Z echo "Filtered matrix:" 2025-09-07T08:50:23.1378086Z 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"}]}" 2025-09-07T08:50:23.1384170Z  2025-09-07T08:50:23.1384410Z echo 2025-09-07T08:50:23.1384716Z echo "Is the current job unstable? False" 2025-09-07T08:50:23.1385213Z  2025-09-07T08:50:23.1385426Z echo 2025-09-07T08:50:23.1385717Z echo "Is keep-going label set? True" 2025-09-07T08:50:23.1386074Z  2025-09-07T08:50:23.1386313Z echo 2025-09-07T08:50:23.1386563Z echo "Reenabled issues? " 2025-09-07T08:50:23.1400007Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:50:23.1400427Z env: 2025-09-07T08:50:23.1400675Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:23.1401046Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:23.1401515Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:23.1401941Z ##[endgroup] 2025-09-07T08:50:23.7928158Z Filtered matrix: 2025-09-07T08:50:23.7937952Z {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}]} 2025-09-07T08:50:23.7944210Z 2025-09-07T08:50:23.7944340Z Is the current job unstable? False 2025-09-07T08:50:23.7944574Z 2025-09-07T08:50:23.7944703Z Is keep-going label set? True 2025-09-07T08:50:23.7945054Z 2025-09-07T08:50:23.7945154Z Reenabled issues? 2025-09-07T08:50:23.8325841Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:50:23.8326397Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T08:50:23.8339017Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:50:23.8339439Z env: 2025-09-07T08:50:23.8339687Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:23.8340036Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:23.8340523Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:23.8340947Z JOB_TIMEOUT: 1440 2025-09-07T08:50:23.8341208Z ##[endgroup] 2025-09-07T08:50:24.1692176Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:50:24.1692731Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:50:24.1693615Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T08:50:24.1705507Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T08:50:24.1705910Z env: 2025-09-07T08:50:24.1706142Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:24.1706489Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:24.1706955Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:24.1707354Z ##[endgroup] 2025-09-07T08:50:24.8349577Z ##[group]Run set -x 2025-09-07T08:50:24.8349964Z set -x 2025-09-07T08:50:24.8350219Z  2025-09-07T08:50:24.8350505Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T08:50:24.8350917Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T08:50:24.8351354Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T08:50:24.8351756Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T08:50:24.8352087Z else 2025-09-07T08:50:24.8352377Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:50:24.8352697Z fi 2025-09-07T08:50:24.8352937Z  2025-09-07T08:50:24.8353227Z # Leaving 1GB for the runner and other things 2025-09-07T08:50:24.8353845Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T08:50:24.8354784Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T08:50:24.8355535Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T08:50:24.8356083Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T08:50:24.8356532Z  2025-09-07T08:50:24.8356826Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:50:24.8357214Z  SHM_OPTS= 2025-09-07T08:50:24.8357473Z  JENKINS_USER= 2025-09-07T08:50:24.8357854Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T08:50:24.8358366Z  # if for some reason cleanup action doesn't stop container 2025-09-07T08:50:24.8358796Z  # when job is cancelled 2025-09-07T08:50:24.8359133Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T08:50:24.8359442Z else 2025-09-07T08:50:24.8359719Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T08:50:24.8360391Z  JENKINS_USER="--user jenkins" 2025-09-07T08:50:24.8360743Z  DOCKER_SHELL_CMD= 2025-09-07T08:50:24.8361013Z fi 2025-09-07T08:50:24.8361256Z  2025-09-07T08:50:24.8361617Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T08:50:24.8362185Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T08:50:24.8362821Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T08:50:24.8363398Z # shellcheck disable=SC2086,SC2090 2025-09-07T08:50:24.8363759Z container_name=$(docker run \ 2025-09-07T08:50:24.8364096Z  ${GPU_FLAG:-} \ 2025-09-07T08:50:24.8364426Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T08:50:24.8364785Z  -e BUILD_ENVIRONMENT \ 2025-09-07T08:50:24.8365110Z  -e PR_NUMBER \ 2025-09-07T08:50:24.8365413Z  -e GITHUB_ACTIONS \ 2025-09-07T08:50:24.8365737Z  -e GITHUB_REPOSITORY \ 2025-09-07T08:50:24.8366053Z  -e GITHUB_WORKFLOW \ 2025-09-07T08:50:24.8366370Z  -e GITHUB_JOB \ 2025-09-07T08:50:24.8366669Z  -e GITHUB_RUN_ID \ 2025-09-07T08:50:24.8366978Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T08:50:24.8367288Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T08:50:24.8367615Z  -e JOB_ID \ 2025-09-07T08:50:24.8367896Z  -e JOB_NAME \ 2025-09-07T08:50:24.8368188Z  -e BASE_SHA \ 2025-09-07T08:50:24.8368455Z  -e BRANCH \ 2025-09-07T08:50:24.8368731Z  -e SHA1 \ 2025-09-07T08:50:24.8369013Z  -e AWS_DEFAULT_REGION \ 2025-09-07T08:50:24.8369342Z  -e IN_WHEEL_TEST \ 2025-09-07T08:50:24.8369638Z  -e SHARD_NUMBER \ 2025-09-07T08:50:24.8369949Z  -e TEST_CONFIG \ 2025-09-07T08:50:24.8370260Z  -e NUM_TEST_SHARDS \ 2025-09-07T08:50:24.8370579Z  -e REENABLED_ISSUES \ 2025-09-07T08:50:24.8370900Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T08:50:24.8371498Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T08:50:24.8371841Z  -e TEST_SHOWLOCALS \ 2025-09-07T08:50:24.8372162Z  -e NO_TEST_TIMEOUT \ 2025-09-07T08:50:24.8372455Z  -e NO_TD \ 2025-09-07T08:50:24.8372742Z  -e TD_DISTRIBUTED \ 2025-09-07T08:50:24.8373474Z  -e PR_LABELS \ 2025-09-07T08:50:24.8373810Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T08:50:24.8374155Z  -e SCCACHE_BUCKET \ 2025-09-07T08:50:24.8374465Z  -e SCCACHE_REGION \ 2025-09-07T08:50:24.8374766Z  -e XLA_CUDA \ 2025-09-07T08:50:24.8375082Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T08:50:24.8375473Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T08:50:24.8375853Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T08:50:24.8376327Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T08:50:24.8376713Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T08:50:24.8377081Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T08:50:24.8377438Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T08:50:24.8377793Z  -e DASHBOARD_TAG \ 2025-09-07T08:50:24.8378118Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T08:50:24.8378516Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T08:50:24.8378950Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T08:50:24.8379404Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T08:50:24.8379835Z  --security-opt seccomp=unconfined \ 2025-09-07T08:50:24.8380205Z  --cap-add=SYS_PTRACE \ 2025-09-07T08:50:24.8380526Z  --ipc=host \ 2025-09-07T08:50:24.8380790Z  ${SHM_OPTS} \ 2025-09-07T08:50:24.8381068Z  --tty \ 2025-09-07T08:50:24.8381331Z  --detach \ 2025-09-07T08:50:24.8381629Z  --name="${container_name}" \ 2025-09-07T08:50:24.8382202Z  ${JENKINS_USER} \ 2025-09-07T08:50:24.8382595Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T08:50:24.8383042Z  -w /var/lib/jenkins/workspace \ 2025-09-07T08:50:24.8383400Z  "${DOCKER_IMAGE}" \ 2025-09-07T08:50:24.8383693Z  ${DOCKER_SHELL_CMD} 2025-09-07T08:50:24.8383989Z ) 2025-09-07T08:50:24.8384314Z # Propagate download.pytorch.org IP to container 2025-09-07T08:50:24.8385135Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T08:50:24.8385899Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T08:50:24.8386324Z  2025-09-07T08:50:24.8386624Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T08:50:24.8387243Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T08:50:24.8387809Z fi 2025-09-07T08:50:24.8388023Z  2025-09-07T08:50:24.8388560Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T08:50:24.8400892Z shell: /usr/bin/bash -e {0} 2025-09-07T08:50:24.8401205Z env: 2025-09-07T08:50:24.8401451Z GIT_DEFAULT_BRANCH: main 2025-09-07T08:50:24.8401797Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T08:50:24.8402285Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T08:50:24.8402793Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T08:50:24.8403195Z PR_NUMBER: 2025-09-07T08:50:24.8403444Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T08:50:24.8403813Z GITHUB_WORKFLOW: inductor-A100-perf-nightly 2025-09-07T08:50:24.8404163Z GITHUB_JOB: test 2025-09-07T08:50:24.8404428Z GITHUB_RUN_ID: 17525309334 2025-09-07T08:50:24.8404706Z GITHUB_RUN_NUMBER: 5418 2025-09-07T08:50:24.8405003Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T08:50:24.8405275Z JOB_ID: 49775768401 2025-09-07T08:50:24.8405938Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T08:50:24.8406420Z BRANCH: main 2025-09-07T08:50:24.8406710Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:50:24.8407114Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T08:50:24.8407494Z TEST_CONFIG: inductor_timm_perf 2025-09-07T08:50:24.8407816Z SHARD_NUMBER: 2 2025-09-07T08:50:24.8408055Z NUM_TEST_SHARDS: 6 2025-09-07T08:50:24.8408327Z REENABLED_ISSUES: 2025-09-07T08:50:24.8408606Z CONTINUE_THROUGH_ERROR: True 2025-09-07T08:50:24.8408912Z VERBOSE_TEST_LOGS: False 2025-09-07T08:50:24.8409185Z TEST_SHOWLOCALS: False 2025-09-07T08:50:24.8409467Z NO_TEST_TIMEOUT: False 2025-09-07T08:50:24.8409740Z NO_TD: False 2025-09-07T08:50:24.8409990Z TD_DISTRIBUTED: False 2025-09-07T08:50:24.8410311Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T08:50:24.8410705Z SCCACHE_REGION: us-east-1 2025-09-07T08:50:24.8410994Z SHM_SIZE: 2g 2025-09-07T08:50:24.8411939Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T08:50:24.8413171Z XLA_CUDA: 2025-09-07T08:50:24.8413562Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T08:50:24.8414073Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T08:50:24.8414402Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T08:50:24.8415728Z 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 2025-09-07T08:50:24.8417278Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T08:50:24.8417706Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T08:50:24.8418144Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T08:50:24.8418847Z ARTIFACTS_FILE_SUFFIX: test-inductor_timm_perf-2-6-linux.aws.a100_49775768401 2025-09-07T08:50:24.8419313Z ##[endgroup] 2025-09-07T08:50:24.8837208Z + [[ inductor_timm_perf == \m\u\l\t\i\g\p\u ]] 2025-09-07T08:50:24.8837622Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *onnx* ]] 2025-09-07T08:50:24.8837989Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T08:50:24.8841000Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T08:50:24.8850292Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1120.797 ' 2025-09-07T08:50:24.8850668Z + TOTAL_MEMORY_WITH_SWAP=1123 2025-09-07T08:50:24.8851046Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T08:50:24.8851426Z + SHM_OPTS=--shm-size=2g 2025-09-07T08:50:24.8851708Z + JENKINS_USER='--user jenkins' 2025-09-07T08:50:24.8851994Z + DOCKER_SHELL_CMD= 2025-09-07T08:50:24.8860199Z +++ nproc --ignore=2 2025-09-07T08:50:24.8875984Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5231 -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/eve/_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 2025-09-07T09:13:38.5460307Z + container_name=f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T09:13:38.5462469Z + grep download.pytorch.org /etc/hosts 2025-09-07T09:13:38.5464519Z + docker exec -i f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T09:13:38.6142116Z + echo DOCKER_CONTAINER_ID=f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T09:13:38.6143691Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *\s\3\9\0\x* ]] 2025-09-07T09:13:38.6146485Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:13:38.6148970Z + docker exec -t f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T09:13:39.0129550Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T09:13:39.8393183Z 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) 2025-09-07T09:13:39.8397039Z 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) 2025-09-07T09:13:39.8401495Z 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) 2025-09-07T09:13:39.8406313Z 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) 2025-09-07T09:13:39.8409634Z 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) 2025-09-07T09:13:39.8414650Z 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) 2025-09-07T09:13:39.8428122Z 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) 2025-09-07T09:13:39.8792380Z 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) 2025-09-07T09:13:39.8811202Z 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) 2025-09-07T09:13:39.8847273Z 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) 2025-09-07T09:13:40.7805197Z Installing collected packages: torch 2025-09-07T09:13:54.2155287Z 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. 2025-09-07T09:13:54.2156291Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T09:13:54.2156761Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T09:13:54.2157289Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T09:13:54.2157931Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T09:13:54.2158866Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T09:13:54.2160026Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T09:13:54.2161318Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T09:13:54.3437892Z + export TERM=vt100 2025-09-07T09:13:54.3440472Z + TERM=vt100 2025-09-07T09:13:54.3440772Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:13:54.3449090Z + source .ci/pytorch/common.sh 2025-09-07T09:13:54.3452462Z +++ dirname .ci/pytorch/common.sh 2025-09-07T09:13:54.3459109Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T09:13:54.3460461Z +++ declare -f -t trap_add 2025-09-07T09:13:54.3465034Z ++ set -ex -o pipefail 2025-09-07T09:13:54.3465366Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T09:13:54.3465750Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T09:13:54.3469269Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:13:54.3476206Z + source .ci/pytorch/common-build.sh 2025-09-07T09:13:54.3477786Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *win-* ]] 2025-09-07T09:13:54.3484031Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T09:13:54.3491183Z +++ cd .ci/pytorch 2025-09-07T09:13:54.3491436Z +++ pwd -P 2025-09-07T09:13:54.3493600Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T09:13:54.3494072Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-pch* ]] 2025-09-07T09:13:54.3494442Z ++ which sccache 2025-09-07T09:13:54.3505288Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T09:13:54.3505666Z ++ sccache --stop-server 2025-09-07T09:13:54.3529298Z ++ true 2025-09-07T09:13:54.3529557Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T09:13:54.3538653Z ++ trap_add sccache_epilogue EXIT 2025-09-07T09:13:54.3538995Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T09:13:54.3539280Z ++ shift 2025-09-07T09:13:54.3539513Z ++ for trap_add_name in "$@" 2025-09-07T09:13:54.3544883Z ++++ trap -p EXIT 2025-09-07T09:13:54.3547661Z +++ eval 'extract_trap_cmd ' 2025-09-07T09:13:54.3547994Z ++++ extract_trap_cmd 2025-09-07T09:13:54.3548255Z ++++ printf '%s\n' '' 2025-09-07T09:13:54.3548528Z +++ printf '%s\n' sccache_epilogue 2025-09-07T09:13:54.3549465Z ++ trap -- ' 2025-09-07T09:13:54.3549707Z sccache_epilogue' EXIT 2025-09-07T09:13:54.3550411Z ++ [[ -n 1 ]] 2025-09-07T09:13:54.3550809Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T09:13:54.3551425Z Skipping sccache server initialization, setting environment variables 2025-09-07T09:13:54.3551881Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:13:54.3552183Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:13:54.3552539Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:13:54.3552987Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:13:54.3553410Z ++ export RUST_LOG=sccache::server=error 2025-09-07T09:13:54.3553742Z ++ RUST_LOG=sccache::server=error 2025-09-07T09:13:54.3554040Z ++ sccache --zero-stats 2025-09-07T09:13:54.5016278Z Statistics zeroed. 2025-09-07T09:13:54.5019976Z ++ which ccache 2025-09-07T09:13:54.5032645Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *rocm* ]] 2025-09-07T09:13:54.5033166Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *s390x* ]] 2025-09-07T09:13:54.5033578Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T09:13:54.5035998Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T09:13:54.5046012Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T09:13:54.5046360Z + trap_add cleanup_workspace EXIT 2025-09-07T09:13:54.5046674Z + trap_add_cmd=cleanup_workspace 2025-09-07T09:13:54.5046946Z + shift 2025-09-07T09:13:54.5047170Z + for trap_add_name in "$@" 2025-09-07T09:13:54.5053239Z +++ trap -p EXIT 2025-09-07T09:13:54.5055826Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T09:13:54.5056150Z sccache_epilogue'\'' EXIT' 2025-09-07T09:13:54.5056426Z +++ extract_trap_cmd trap -- ' 2025-09-07T09:13:54.5056714Z sccache_epilogue' EXIT 2025-09-07T09:13:54.5056967Z +++ printf '%s\n' ' 2025-09-07T09:13:54.5057209Z sccache_epilogue' 2025-09-07T09:13:54.5057459Z ++ printf '%s\n' cleanup_workspace 2025-09-07T09:13:54.5058139Z + trap -- ' 2025-09-07T09:13:54.5058370Z sccache_epilogue 2025-09-07T09:13:54.5058628Z cleanup_workspace' EXIT 2025-09-07T09:13:54.5059338Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T09:14:17.9106460Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T09:14:17.9124076Z + echo 'Environment variables:' 2025-09-07T09:14:17.9124409Z Environment variables: 2025-09-07T09:14:17.9124668Z + env 2025-09-07T09:14:17.9133767Z GITHUB_WORKSPACE=/home/eve/_work/pytorch/pytorch 2025-09-07T09:14:17.9134158Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:14:17.9134528Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T09:14:17.9136524Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:14:17.9136861Z HOSTNAME=f46c3e0c8963 2025-09-07T09:14:17.9137360Z GITHUB_PATH=/home/eve/_work/_temp/_runner_file_commands/add_path_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:17.9137912Z GITHUB_ACTION=__run_2 2025-09-07T09:14:17.9138192Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:14:17.9138497Z GITHUB_RUN_NUMBER=5418 2025-09-07T09:14:17.9138782Z TEST_CONFIG=inductor_timm_perf 2025-09-07T09:14:17.9139089Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:14:17.9139447Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:14:17.9139774Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:14:17.9140219Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:14:17.9140515Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T09:14:17.9140824Z GITHUB_REF_TYPE=branch 2025-09-07T09:14:17.9141128Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:17.9141465Z XLA_CUDA= 2025-09-07T09:14:17.9141682Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:14:17.9142091Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:14:17.9142493Z *** 2025-09-07T09:14:17.9142708Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:14:17.9142991Z GITHUB_ACTIONS=true 2025-09-07T09:14:17.9143229Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:14:17.9143573Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:14:17.9143967Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:17.9144624Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:17.9145341Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T09:14:17.9145925Z UCC_HOME=/usr 2025-09-07T09:14:17.9146158Z VERBOSE_TEST_LOGS=False 2025-09-07T09:14:17.9146424Z GITHUB_REF=refs/heads/main 2025-09-07T09:14:17.9146679Z SHARD_NUMBER=2 2025-09-07T09:14:17.9146917Z GITHUB_REF_PROTECTED=true 2025-09-07T09:14:17.9147182Z HOME=/var/lib/jenkins 2025-09-07T09:14:17.9147440Z SCCACHE_SERVER_PORT=5231 2025-09-07T09:14:17.9147728Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:14:17.9148065Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:14:17.9148416Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:14:17.9148763Z USE_SYSTEM_NCCL=1 2025-09-07T09:14:17.9148985Z NUM_TEST_SHARDS=6 2025-09-07T09:14:17.9149217Z UCX_HOME=/usr 2025-09-07T09:14:17.9149691Z GITHUB_STATE=/home/eve/_work/_temp/_runner_file_commands/save_state_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:17.9150423Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T09:14:17.9151114Z GITHUB_ENV=/home/eve/_work/_temp/_runner_file_commands/set_env_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:17.9151768Z GITHUB_EVENT_PATH=/home/eve/_work/_temp/_github_workflow/event.json 2025-09-07T09:14:17.9152228Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:14:17.9153509Z 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 2025-09-07T09:14:17.9154819Z GITHUB_RUN_ID=17525309334 2025-09-07T09:14:17.9155077Z INSTALLED_OPENBLAS= 2025-09-07T09:14:17.9155608Z GITHUB_STEP_SUMMARY=/home/eve/_work/_temp/_runner_file_commands/step_summary_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:17.9156202Z GITHUB_ACTOR=desertfire 2025-09-07T09:14:17.9156454Z PR_NUMBER= 2025-09-07T09:14:17.9156656Z DESIRED_CUDA=12.8.1 2025-09-07T09:14:17.9156900Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:14:17.9157161Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:14:17.9157697Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:14:17.9158048Z TERM=vt100 2025-09-07T09:14:17.9158269Z INSTALLED_VISION=yes 2025-09-07T09:14:17.9158514Z BRANCH=main 2025-09-07T09:14:17.9158740Z SCCACHE_REGION=us-east-1 2025-09-07T09:14:17.9159003Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:14:17.9159293Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:14:17.9159730Z GITHUB_ACTION_PATH=/home/eve/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:14:17.9160234Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:14:17.9160582Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:14:17.9160928Z REENABLED_ISSUES= 2025-09-07T09:14:17.9161155Z DOCS= 2025-09-07T09:14:17.9161355Z SHLVL=1 2025-09-07T09:14:17.9161544Z MAX_JOBS=10 2025-09-07T09:14:17.9161763Z GITHUB_ACTOR_ID=3659962 2025-09-07T09:14:17.9162103Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:17.9162497Z GITHUB_REF_NAME=main 2025-09-07T09:14:17.9162876Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:14:17.9163314Z GITHUB_JOB=test 2025-09-07T09:14:17.9163552Z NO_TEST_TIMEOUT=False 2025-09-07T09:14:17.9163808Z TD_DISTRIBUTED=False 2025-09-07T09:14:17.9164065Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:14:17.9164374Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:14:17.9164646Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:14:17.9164917Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:14:17.9175503Z 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 2025-09-07T09:14:17.9176452Z GITHUB_BASE_REF= 2025-09-07T09:14:17.9176704Z INSTALLED_ACL= 2025-09-07T09:14:17.9177093Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf-2-6-linux.aws.a100_49775768401 2025-09-07T09:14:17.9177556Z CI=true 2025-09-07T09:14:17.9177799Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:14:18.5334009Z RUST_LOG=sccache::server=error 2025-09-07T09:14:18.5334317Z JOB_ID=49775768401 2025-09-07T09:14:18.5334564Z GITHUB_HEAD_REF= 2025-09-07T09:14:18.5334810Z GITHUB_ACTION_REF= 2025-09-07T09:14:18.5335122Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:14:18.5335478Z TEST_SHOWLOCALS=False 2025-09-07T09:14:18.5335781Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T09:14:18.5336140Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:14:18.5336692Z GITHUB_OUTPUT=/home/eve/_work/_temp/_runner_file_commands/set_output_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:18.5337246Z NO_TD=False 2025-09-07T09:14:18.5337486Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:14:18.5337805Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:14:18.5338127Z _=/usr/bin/env 2025-09-07T09:14:18.5338461Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T09:14:18.5339050Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T09:14:18.5339672Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T09:14:18.5340284Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T09:14:18.5340887Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T09:14:18.5341360Z + BUILD_DIR=build 2025-09-07T09:14:18.5341620Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T09:14:18.5341929Z + BUILD_BIN_DIR=build/bin 2025-09-07T09:14:18.5342182Z + SHARD_NUMBER=2 2025-09-07T09:14:18.5342422Z + NUM_TEST_SHARDS=6 2025-09-07T09:14:18.5342695Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:14:18.5343025Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:14:18.5343298Z + export VALGRIND=ON 2025-09-07T09:14:18.5343547Z + VALGRIND=ON 2025-09-07T09:14:18.5343858Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *clang9* ]] 2025-09-07T09:14:18.5344300Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T09:14:18.5344648Z + detect_cuda_arch 2025-09-07T09:14:18.5345059Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T09:14:18.5345640Z + command -v nvidia-smi 2025-09-07T09:14:18.5345907Z /usr/bin/nvidia-smi 2025-09-07T09:14:18.5346195Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T09:14:18.5346552Z ++ tail -n 1 2025-09-07T09:14:18.5585731Z + TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T09:14:18.5586059Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T09:14:18.5586399Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *s390x* ]] 2025-09-07T09:14:18.5586758Z + [[ 0 == \1 ]] 2025-09-07T09:14:18.5586982Z + [[ True == \1 ]] 2025-09-07T09:14:18.5587285Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *bazel* ]] 2025-09-07T09:14:18.5590335Z ++ realpath build/custom_test_artifacts 2025-09-07T09:14:18.5600268Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T09:14:18.5600814Z + [[ -n '' ]] 2025-09-07T09:14:18.5601069Z + echo 'Environment variables' 2025-09-07T09:14:18.5601365Z Environment variables 2025-09-07T09:14:18.5601630Z + env 2025-09-07T09:14:18.5608330Z GITHUB_WORKSPACE=/home/eve/_work/pytorch/pytorch 2025-09-07T09:14:18.5608762Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:14:18.5609138Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm80 2025-09-07T09:14:18.5609788Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:14:18.5610079Z HOSTNAME=f46c3e0c8963 2025-09-07T09:14:18.5610583Z GITHUB_PATH=/home/eve/_work/_temp/_runner_file_commands/add_path_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:18.5611141Z GITHUB_ACTION=__run_2 2025-09-07T09:14:18.5611420Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:14:18.5611716Z GITHUB_RUN_NUMBER=5418 2025-09-07T09:14:18.5611991Z TEST_CONFIG=inductor_timm_perf 2025-09-07T09:14:18.5612295Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:14:18.5612631Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:14:18.5613142Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:14:18.5613553Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:14:18.5613873Z GITHUB_TRIGGERING_ACTOR=desertfire 2025-09-07T09:14:18.5614500Z GITHUB_REF_TYPE=branch 2025-09-07T09:14:18.5614759Z TORCH_CUDA_ARCH_LIST=8.0 2025-09-07T09:14:18.5615071Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:18.5615414Z XLA_CUDA= 2025-09-07T09:14:18.5615648Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:14:18.5616073Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:14:18.5616582Z *** 2025-09-07T09:14:18.5616810Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:14:18.5617100Z GITHUB_ACTIONS=true 2025-09-07T09:14:18.5617362Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:14:18.5617706Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:14:18.5618105Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:18.5618490Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:18.5619125Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly.yml@refs/heads/main 2025-09-07T09:14:18.5619697Z UCC_HOME=/usr 2025-09-07T09:14:18.5619939Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:14:18.5620228Z VERBOSE_TEST_LOGS=False 2025-09-07T09:14:18.5620500Z GITHUB_REF=refs/heads/main 2025-09-07T09:14:18.5620755Z SHARD_NUMBER=2 2025-09-07T09:14:18.5620992Z GITHUB_REF_PROTECTED=true 2025-09-07T09:14:18.5621260Z HOME=/var/lib/jenkins 2025-09-07T09:14:18.5621516Z SCCACHE_SERVER_PORT=5231 2025-09-07T09:14:18.5621808Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:14:18.5622155Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:14:18.5622512Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:14:18.5622866Z USE_SYSTEM_NCCL=1 2025-09-07T09:14:18.5623091Z NUM_TEST_SHARDS=6 2025-09-07T09:14:18.5623324Z UCX_HOME=/usr 2025-09-07T09:14:18.5623798Z GITHUB_STATE=/home/eve/_work/_temp/_runner_file_commands/save_state_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:18.5624522Z JOB_NAME=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T09:14:18.5625326Z GITHUB_ENV=/home/eve/_work/_temp/_runner_file_commands/set_env_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:18.5626248Z GITHUB_EVENT_PATH=/home/eve/_work/_temp/_github_workflow/event.json 2025-09-07T09:14:18.5626682Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:14:18.5627976Z 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 2025-09-07T09:14:18.5629293Z GITHUB_RUN_ID=17525309334 2025-09-07T09:14:18.5629555Z INSTALLED_OPENBLAS= 2025-09-07T09:14:18.5630093Z GITHUB_STEP_SUMMARY=/home/eve/_work/_temp/_runner_file_commands/step_summary_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:18.5630698Z GITHUB_ACTOR=desertfire 2025-09-07T09:14:18.5630956Z PR_NUMBER= 2025-09-07T09:14:18.5631164Z DESIRED_CUDA=12.8.1 2025-09-07T09:14:18.5631413Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:14:18.5631658Z VALGRIND=ON 2025-09-07T09:14:18.5631895Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:14:18.5632237Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:14:18.5632599Z TERM=vt100 2025-09-07T09:14:18.5632824Z INSTALLED_VISION=yes 2025-09-07T09:14:18.5633098Z BRANCH=main 2025-09-07T09:14:18.5633326Z SCCACHE_REGION=us-east-1 2025-09-07T09:14:18.5633594Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:14:18.5633888Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:14:18.5634330Z GITHUB_ACTION_PATH=/home/eve/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:14:18.5634834Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:14:18.5635185Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:14:18.5635540Z REENABLED_ISSUES= 2025-09-07T09:14:18.5635769Z DOCS= 2025-09-07T09:14:18.5635973Z SHLVL=1 2025-09-07T09:14:18.5636168Z MAX_JOBS=10 2025-09-07T09:14:18.5636397Z GITHUB_ACTOR_ID=3659962 2025-09-07T09:14:18.5636742Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:14:18.5637132Z GITHUB_REF_NAME=main 2025-09-07T09:14:18.5637504Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:14:18.5638075Z GITHUB_JOB=test 2025-09-07T09:14:18.5638312Z NO_TEST_TIMEOUT=False 2025-09-07T09:14:18.5638573Z TD_DISTRIBUTED=False 2025-09-07T09:14:18.5638831Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:14:18.5639139Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:14:18.5639415Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:14:18.5639676Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:14:18.5640478Z 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 2025-09-07T09:14:18.5641304Z GITHUB_BASE_REF= 2025-09-07T09:14:18.5641542Z INSTALLED_ACL= 2025-09-07T09:14:18.5641931Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf-2-6-linux.aws.a100_49775768401 2025-09-07T09:14:18.5642377Z CI=true 2025-09-07T09:14:18.5642605Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:14:18.5642941Z RUST_LOG=sccache::server=error 2025-09-07T09:14:18.5643221Z JOB_ID=49775768401 2025-09-07T09:14:18.5643441Z GITHUB_HEAD_REF= 2025-09-07T09:14:18.5643682Z GITHUB_ACTION_REF= 2025-09-07T09:14:18.5643980Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:14:18.5644340Z TEST_SHOWLOCALS=False 2025-09-07T09:14:18.5644618Z GITHUB_WORKFLOW=inductor-A100-perf-nightly 2025-09-07T09:14:18.5644963Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:14:18.5645505Z GITHUB_OUTPUT=/home/eve/_work/_temp/_runner_file_commands/set_output_a540a76c-d505-4177-86a0-081c5dc57ead 2025-09-07T09:14:18.5646065Z NO_TD=False 2025-09-07T09:14:18.5646293Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:14:18.5646606Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:14:18.5646926Z _=/usr/bin/env 2025-09-07T09:14:18.5647163Z + echo 'Testing pytorch' 2025-09-07T09:14:18.5647413Z Testing pytorch 2025-09-07T09:14:18.5647664Z + export LANG=C.UTF-8 2025-09-07T09:14:18.5647913Z + LANG=C.UTF-8 2025-09-07T09:14:18.5648141Z + PR_NUMBER= 2025-09-07T09:14:18.5648379Z + [[ inductor_timm_perf == \d\e\f\a\u\l\t ]] 2025-09-07T09:14:18.5648749Z + [[ inductor_timm_perf == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T09:14:18.5649120Z + [[ inductor_timm_perf == \s\l\o\w ]] 2025-09-07T09:14:18.5649658Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *slow-gradcheck* ]] 2025-09-07T09:14:18.5650127Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T09:14:18.5650714Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:14:18.5651074Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:14:18.5651409Z + [[ inductor_timm_perf == *crossref* ]] 2025-09-07T09:14:18.5651771Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *rocm* ]] 2025-09-07T09:14:18.5652187Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *xpu* ]] 2025-09-07T09:14:18.5652616Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T09:14:18.5653174Z + pip_install ninja==1.10.2 2025-09-07T09:14:18.5653541Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:14:18.5654019Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T09:14:19.0355311Z Collecting ninja==1.10.2 2025-09-07T09:14:19.5818846Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T09:14:19.6554010Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T09:14:20.5822292Z Installing collected packages: ninja 2025-09-07T09:14:20.5822696Z Attempting uninstall: ninja 2025-09-07T09:14:20.5832977Z Found existing installation: ninja 1.11.1.3 2025-09-07T09:14:20.5855083Z Uninstalling ninja-1.11.1.3: 2025-09-07T09:14:20.7786852Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T09:14:20.9807471Z Successfully installed ninja-1.10.2 2025-09-07T09:14:21.0686756Z + 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 2025-09-07T09:14:21.0688394Z + 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 2025-09-07T09:14:21.0689734Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T09:14:21.0690192Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *asan* ]] 2025-09-07T09:14:21.0690625Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-debug* ]] 2025-09-07T09:14:21.0691067Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 != *-bazel-* ]] 2025-09-07T09:14:21.0691674Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass' 2025-09-07T09:14:21.0692432Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm80. Expect the assertion to pass 2025-09-07T09:14:21.0693300Z + cd test 2025-09-07T09:14:21.0693736Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T09:14:21.6274397Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:14:21.6275885Z import pynvml # type: ignore[import] 2025-09-07T09:14:22.8125397Z + [[ inductor_timm_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T09:14:22.8125869Z + [[ inductor_timm_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T09:14:22.8126320Z + [[ inductor_timm_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T09:14:22.8129585Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T09:14:22.8129917Z + [[ inductor_timm_perf == *pr_time_benchmarks* ]] 2025-09-07T09:14:22.8130293Z + [[ inductor_timm_perf == *dynamo_eager* ]] 2025-09-07T09:14:22.8130636Z + [[ inductor_timm_perf == *aot_eager* ]] 2025-09-07T09:14:22.8130979Z + [[ inductor_timm_perf == *aot_inductor* ]] 2025-09-07T09:14:22.8131344Z + [[ inductor_timm_perf == *max_autotune_inductor* ]] 2025-09-07T09:14:22.8131723Z + [[ inductor_timm_perf == *inductor* ]] 2025-09-07T09:14:22.8132052Z + [[ inductor_timm_perf != *perf* ]] 2025-09-07T09:14:22.8132397Z + [[ inductor_timm_perf == *dynamic* ]] 2025-09-07T09:14:22.8133278Z + [[ inductor_timm_perf == *cpu* ]] 2025-09-07T09:14:22.8133645Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T09:14:22.8153289Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T09:14:22.8153775Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *-bazel-* ]] 2025-09-07T09:14:22.8156672Z + cd test 2025-09-07T09:14:22.8157105Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T09:14:23.3822121Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:14:23.3823611Z import pynvml # type: ignore[import] 2025-09-07T09:14:24.6480639Z PyTorch built with: 2025-09-07T09:14:24.6480937Z - GCC 9.5 2025-09-07T09:14:24.6481193Z - C++ Version: 201703 2025-09-07T09:14:24.6481796Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:14:24.6482544Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:14:24.6482997Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:14:24.6483332Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T09:14:24.6483676Z - NNPACK is enabled 2025-09-07T09:14:24.6483943Z - CPU capability usage: AVX512 2025-09-07T09:14:24.6484236Z - CUDA Runtime 12.8 2025-09-07T09:14:24.6484578Z - NVCC architecture flags: -gencode;arch=compute_80,code=sm_80 2025-09-07T09:14:24.6484978Z - CuDNN 90.8 2025-09-07T09:14:24.6489751Z - 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, 2025-09-07T09:14:24.6503860Z 2025-09-07T09:14:26.7172675Z + cd test 2025-09-07T09:14:26.7173372Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T09:14:27.2853797Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:14:27.2855196Z import pynvml # type: ignore[import] 2025-09-07T09:14:28.0895676Z ATen/Parallel: 2025-09-07T09:14:28.0896012Z at::get_num_threads() : 12 2025-09-07T09:14:28.0896314Z at::get_num_interop_threads() : 48 2025-09-07T09:14:28.0896632Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:14:28.0896936Z omp_get_max_threads() : 12 2025-09-07T09:14:28.0897522Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:14:28.0898123Z mkl_get_max_threads() : 12 2025-09-07T09:14:28.0898519Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:14:28.0899006Z std::thread::hardware_concurrency() : 96 2025-09-07T09:14:28.0899647Z Environment variables: 2025-09-07T09:14:28.0899914Z OMP_NUM_THREADS : [not set] 2025-09-07T09:14:28.0900205Z MKL_NUM_THREADS : [not set] 2025-09-07T09:14:28.0900501Z ATen parallel backend: OpenMP 2025-09-07T09:14:28.0900693Z 2025-09-07T09:14:28.4367458Z + [[ inductor_timm_perf == *numpy_2* ]] 2025-09-07T09:14:28.4367923Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *aarch64* ]] 2025-09-07T09:14:28.4368328Z + [[ inductor_timm_perf == *backward* ]] 2025-09-07T09:14:28.4368659Z + [[ inductor_timm_perf == *xla* ]] 2025-09-07T09:14:28.4368973Z + [[ inductor_timm_perf == *vllm* ]] 2025-09-07T09:14:28.4369287Z + [[ inductor_timm_perf == *executorch* ]] 2025-09-07T09:14:28.4369644Z + [[ inductor_timm_perf == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T09:14:28.4370064Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *libtorch* ]] 2025-09-07T09:14:28.4370467Z + [[ inductor_timm_perf == distributed ]] 2025-09-07T09:14:28.4370850Z + [[ inductor_timm_perf == *operator_benchmark* ]] 2025-09-07T09:14:28.4371269Z + [[ inductor_timm_perf == *inductor_distributed* ]] 2025-09-07T09:14:28.4371666Z + [[ inductor_timm_perf == *inductor-halide* ]] 2025-09-07T09:14:28.4372059Z + [[ inductor_timm_perf == *inductor-triton-cpu* ]] 2025-09-07T09:14:28.4372466Z + [[ inductor_timm_perf == *inductor-micro-benchmark* ]] 2025-09-07T09:14:28.4373106Z + [[ inductor_timm_perf == *huggingface* ]] 2025-09-07T09:14:28.4373448Z + [[ inductor_timm_perf == *timm* ]] 2025-09-07T09:14:28.4373760Z + install_torchvision 2025-09-07T09:14:28.4374019Z + local orig_preload 2025-09-07T09:14:28.4374255Z + local commit 2025-09-07T09:14:28.4374501Z ++ get_pinned_commit vision 2025-09-07T09:14:28.4374794Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T09:14:28.4384888Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:14:28.4385283Z + orig_preload= 2025-09-07T09:14:28.4385531Z + '[' -n '' ']' 2025-09-07T09:14:28.4385895Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm80 == *cuda* ]] 2025-09-07T09:14:28.4386585Z + export FORCE_CUDA=1 2025-09-07T09:14:28.4386887Z + FORCE_CUDA=1 2025-09-07T09:14:28.4387139Z + export WITH_CUDA=1 2025-09-07T09:14:28.4387385Z + WITH_CUDA=1 2025-09-07T09:14:28.4387981Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T09:14:28.4388876Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:14:28.4389464Z + local wheel_dir=dist/vision 2025-09-07T09:14:28.4389748Z + local found_whl=0 2025-09-07T09:14:28.4390005Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:14:28.4390457Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:14:28.4390920Z + found_whl=1 2025-09-07T09:14:28.4391131Z + break 2025-09-07T09:14:28.4391333Z + '[' 1 == 0 ']' 2025-09-07T09:14:28.4391563Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:14:28.4392062Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:14:28.4392757Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:14:28.4393220Z + local args 2025-09-07T09:14:28.4393622Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:14:28.4394112Z + for path in "${args[@]}" 2025-09-07T09:14:28.4394591Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:14:28.4395301Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:14:28.4396103Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:14:28.9463933Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:14:28.9585556Z Installing collected packages: torchvision 2025-09-07T09:14:29.5746449Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T09:14:29.6177624Z + '[' -n '' ']' 2025-09-07T09:14:29.6177875Z + id=1 2025-09-07T09:14:29.6178433Z + test_dynamo_benchmark timm_models 1 2025-09-07T09:14:29.6181277Z ++ pwd 2025-09-07T09:14:29.6183582Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.6184006Z + local suite=timm_models 2025-09-07T09:14:29.6184262Z + shift 2025-09-07T09:14:29.6184471Z + local shard_id=1 2025-09-07T09:14:29.6184700Z + shift 2025-09-07T09:14:29.6185029Z + [[ inductor_timm_perf == *perf_compare* ]] 2025-09-07T09:14:29.6185363Z + [[ inductor_timm_perf == *perf* ]] 2025-09-07T09:14:29.6185680Z + [[ inductor_timm_perf == *b200* ]] 2025-09-07T09:14:29.6186051Z + test_single_dynamo_benchmark dashboard timm_models 1 2025-09-07T09:14:29.6188165Z ++ pwd 2025-09-07T09:14:29.6190036Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.6190515Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.6206587Z + local name=dashboard 2025-09-07T09:14:29.6206943Z + shift 2025-09-07T09:14:29.6207207Z + local suite=timm_models 2025-09-07T09:14:29.6207470Z + shift 2025-09-07T09:14:29.6207683Z + local shard_id=1 2025-09-07T09:14:29.6207908Z + shift 2025-09-07T09:14:29.6208116Z + partition_flags=() 2025-09-07T09:14:29.6208365Z + local partition_flags 2025-09-07T09:14:29.6208617Z + [[ -n 6 ]] 2025-09-07T09:14:29.6208832Z + [[ -n 1 ]] 2025-09-07T09:14:29.6209227Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T09:14:29.6209758Z + [[ inductor_timm_perf == *perf_compare* ]] 2025-09-07T09:14:29.6210104Z + [[ inductor_timm_perf == *perf* ]] 2025-09-07T09:14:29.6210607Z + test_perf_for_dashboard timm_models --device cuda --total-partitions 6 --partition-id 1 2025-09-07T09:14:29.6211357Z ++ pwd 2025-09-07T09:14:29.6213505Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.6213979Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:14:29.6226641Z + local suite=timm_models 2025-09-07T09:14:29.6227001Z + shift 2025-09-07T09:14:29.6227281Z + local backend=inductor 2025-09-07T09:14:29.6227585Z + modes=() 2025-09-07T09:14:29.6227796Z + local modes 2025-09-07T09:14:29.6229081Z + [[ 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* ]] 2025-09-07T09:14:29.6230450Z + modes+=(training) 2025-09-07T09:14:29.6231739Z + [[ 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* ]] 2025-09-07T09:14:29.6233092Z + modes+=(inference) 2025-09-07T09:14:29.6233369Z + targets=('accuracy' 'performance') 2025-09-07T09:14:29.6233675Z + local targets 2025-09-07T09:14:29.6233897Z + local device=cuda 2025-09-07T09:14:29.6234172Z + [[ inductor_timm_perf == *cpu* ]] 2025-09-07T09:14:29.6234488Z + [[ inductor_timm_perf == *cuda_a10g* ]] 2025-09-07T09:14:29.6234824Z + [[ inductor_timm_perf == *h100* ]] 2025-09-07T09:14:29.6235145Z + [[ inductor_timm_perf == *b200* ]] 2025-09-07T09:14:29.6235455Z + [[ inductor_timm_perf == *rocm* ]] 2025-09-07T09:14:29.6235765Z + for mode in "${modes[@]}" 2025-09-07T09:14:29.6236041Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:14:29.6236353Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T09:14:29.6236644Z + dtype=amp 2025-09-07T09:14:29.6236874Z + for target in "${targets[@]}" 2025-09-07T09:14:29.6237148Z + target_flag=('--accuracy') 2025-09-07T09:14:29.6237428Z + local target_flag 2025-09-07T09:14:29.6237686Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:14:29.6238011Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T09:14:29.6238333Z + target_flag+=(--no-translation-validation) 2025-09-07T09:14:29.6239872Z + [[ 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* ]] 2025-09-07T09:14:29.6242267Z + [[ 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* ]] 2025-09-07T09:14:29.6244779Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 6 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:14:30.7257923Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:14:30.7259358Z import pynvml # type: ignore[import] 2025-09-07T09:14:35.8863221Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:14:35.8864642Z import pynvml # type: ignore[import] 2025-09-07T09:14:39.1965997Z 2025-09-07T09:14:40.1752591Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:14:40.1752864Z 2025-09-07T09:14:40.3067383Z model.safetensors: 0% 0.00/349M [00:00 will be ignored 2025-09-07T09:15:33.6536351Z pass 2025-09-07T09:15:38.3887173Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:15:38.3888584Z import pynvml # type: ignore[import] 2025-09-07T09:15:41.6462080Z 2025-09-07T09:15:42.1451559Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:15:42.1451851Z 2025-09-07T09:15:42.2475483Z model.safetensors: 0% 0.00/133M [00:00 will be ignored 2025-09-07T09:18:01.0111011Z pass 2025-09-07T09:18:07.9050615Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:18:07.9052007Z import pynvml # type: ignore[import] 2025-09-07T09:18:11.3753897Z 2025-09-07T09:18:12.2492422Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:18:12.2492707Z 2025-09-07T09:18:12.3523419Z model.safetensors: 0% 0.00/286M [00:00 will be ignored 2025-09-07T09:19:42.1250906Z pass 2025-09-07T09:19:48.2459084Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:19:48.2460484Z import pynvml # type: ignore[import] 2025-09-07T09:19:51.5974017Z 2025-09-07T09:19:52.1569913Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:19:52.1570189Z 2025-09-07T09:19:52.2821302Z model.safetensors: 0% 0.00/349M [00:00 will be ignored 2025-09-07T09:22:31.6568724Z pass 2025-09-07T09:22:36.4130824Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:22:36.4132243Z import pynvml # type: ignore[import] 2025-09-07T09:22:39.7375419Z 2025-09-07T09:22:39.9614897Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:22:39.9615198Z 2025-09-07T09:22:40.0667716Z model.safetensors: 0% 0.00/43.2M [00:00 will be ignored 2025-09-07T09:23:52.3784601Z pass 2025-09-07T09:23:57.3158128Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:23:57.3159540Z import pynvml # type: ignore[import] 2025-09-07T09:24:00.6091908Z 2025-09-07T09:24:00.7706062Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:24:00.8630857Z 2025-09-07T09:24:00.8631342Z model.safetensors: 0% 0.00/26.2M [00:00 will be ignored 2025-09-07T09:24:53.4185819Z pass 2025-09-07T09:24:57.8731381Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:24:57.8733062Z import pynvml # type: ignore[import] 2025-09-07T09:25:01.2757177Z 2025-09-07T09:25:01.4503553Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:25:01.4503851Z 2025-09-07T09:25:01.5488411Z model.safetensors: 0% 0.00/22.5M [00:00 will be ignored 2025-09-07T09:26:23.4278616Z pass 2025-09-07T09:26:29.5181143Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:26:29.5182602Z import pynvml # type: ignore[import] 2025-09-07T09:26:32.7991146Z 2025-09-07T09:26:33.0090979Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:26:33.0091273Z 2025-09-07T09:26:33.1195384Z model.safetensors: 0% 0.00/34.6M [00:00 will be ignored 2025-09-07T09:29:49.9087632Z pass 2025-09-07T09:29:55.0800985Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:29:55.0802411Z import pynvml # type: ignore[import] 2025-09-07T09:29:58.4288281Z 2025-09-07T09:30:00.0904530Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:30:00.0905012Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:30:00.0905341Z cuda train dla102 2025-09-07T09:31:15.1088179Z W0907 09:31:15.107000 24875 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:32:16.0638404Z pass 2025-09-07T09:32:22.9369057Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:32:22.9370465Z import pynvml # type: ignore[import] 2025-09-07T09:32:26.2669210Z 2025-09-07T09:32:28.2685770Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:32:28.2686160Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:32:28.2686488Z cuda train dm_nfnet_f0 2025-09-07T09:33:13.8720847Z W0907 09:33:13.871000 25014 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:33:56.1840323Z pass 2025-09-07T09:34:02.2797238Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:34:02.2798663Z import pynvml # type: ignore[import] 2025-09-07T09:34:05.6406646Z 2025-09-07T09:34:07.5605003Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:34:07.5605388Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:34:07.5605714Z cuda train dpn107 2025-09-07T09:35:27.2578242Z pass 2025-09-07T09:35:33.7082067Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:35:33.7083547Z import pynvml # type: ignore[import] 2025-09-07T09:35:37.0282242Z 2025-09-07T09:35:38.2380175Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:35:38.2381073Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:35:38.2381416Z cuda train eca_botnext26ts_256 2025-09-07T09:36:22.4312115Z W0907 09:36:22.430000 25292 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:36:40.3041256Z pass 2025-09-07T09:36:45.2186568Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:36:45.2187980Z import pynvml # type: ignore[import] 2025-09-07T09:36:48.5767413Z 2025-09-07T09:36:49.8160007Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:36:49.8160389Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:36:49.8160756Z cuda train eca_halonext26ts 2025-09-07T09:37:40.3564910Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 442, in torch_dynamo_resume_in_forward_and_backward_pass_at_440 2025-09-07T09:37:40.3566172Z pred = mod(*cloned_inputs) 2025-09-07T09:37:40.3566751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T09:37:40.3567355Z x = self.forward_features(x) 2025-09-07T09:37:40.3567954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T09:37:40.3568582Z x = self.stages(x) 2025-09-07T09:37:40.3569106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 894, in forward 2025-09-07T09:37:40.3569687Z x = self.self_attn(x) 2025-09-07T09:37:40.3570649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/halo_attn.py", line 191, in forward 2025-09-07T09:37:40.3571461Z kv = kv.unfold(2, self.win_size, self.block_size).unfold(3, self.win_size, self.block_size).reshape( 2025-09-07T09:37:40.3571902Z 2025-09-07T09:37:40.3571906Z 2025-09-07T09:37:40.8272068Z W0907 09:37:40.826000 25432 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:37:58.1189997Z pass 2025-09-07T09:38:03.0790384Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:38:03.0791852Z import pynvml # type: ignore[import] 2025-09-07T09:38:06.4065576Z 2025-09-07T09:38:07.5733517Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:38:07.5733955Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:38:07.5734302Z cuda train ese_vovnet19b_dw 2025-09-07T09:38:42.2059063Z W0907 09:38:42.205000 25572 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T09:38:57.2325538Z pass 2025-09-07T09:39:01.9697556Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:39:01.9698960Z import pynvml # type: ignore[import] 2025-09-07T09:39:05.2878823Z 2025-09-07T09:39:06.4494017Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:39:06.4494397Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:39:06.4494728Z cuda train fbnetc_100 2025-09-07T09:39:52.7560518Z W0907 09:39:52.754000 25711 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T09:40:28.2798287Z pass 2025-09-07T09:40:33.3057169Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:40:33.3058584Z import pynvml # type: ignore[import] 2025-09-07T09:40:36.6518415Z 2025-09-07T09:40:38.1865692Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:40:38.1866053Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:40:38.1866380Z cuda train fbnetv3_b 2025-09-07T09:41:58.4453034Z pass 2025-09-07T09:42:04.4880777Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:42:04.4882199Z import pynvml # type: ignore[import] 2025-09-07T09:42:07.7328051Z 2025-09-07T09:42:09.2179758Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:42:09.2180135Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:42:09.2180456Z cuda train gernet_l 2025-09-07T09:42:48.7363415Z pass 2025-09-07T09:42:52.4673801Z accuracy pass_rate=100.00% 2025-09-07T09:42:52.4679746Z calls_captured gmean=837.90x mean=990.100x 2025-09-07T09:42:52.4684262Z unique_graphs gmean=2.81x mean=2.900x 2025-09-07T09:42:52.4688684Z graph_breaks gmean=6.68x mean=6.700x 2025-09-07T09:42:52.4693166Z unique_graph_breaks gmean=5.00x mean=5.000x 2025-09-07T09:42:52.4697826Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:42:52.4702228Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:42:52.4707423Z cudagraph_skips gmean=0.00x mean=0.100x 2025-09-07T09:42:52.4710177Z compilation_latency mean=71.425 seconds 2025-09-07T09:42:53.6201824Z + [[ 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* ]] 2025-09-07T09:42:53.6204482Z + 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 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:42:54.6683643Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:42:54.6685073Z import pynvml # type: ignore[import] 2025-09-07T09:42:59.6040230Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:42:59.6041604Z import pynvml # type: ignore[import] 2025-09-07T09:43:02.8770489Z 2025-09-07T09:43:04.6421128Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:04.6421494Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:43:04.6421838Z cuda train deit_base_distilled_patch16_224 2025-09-07T09:43:18.9708441Z W0907 09:43:18.970000 26155 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:43:25.0030520Z pass 2025-09-07T09:43:28.7301797Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:43:28.7303266Z import pynvml # type: ignore[import] 2025-09-07T09:43:32.0283396Z 2025-09-07T09:43:33.6190499Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:43:33.6190889Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:43:33.6191219Z cuda train dla102 2025-09-07T09:43:51.3760887Z W0907 09:43:51.375000 26380 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:44:05.5072620Z pass 2025-09-07T09:44:09.4296302Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:44:09.4297736Z import pynvml # type: ignore[import] 2025-09-07T09:44:12.7804126Z 2025-09-07T09:44:14.7767054Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:14.7767425Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:44:14.7767869Z cuda train dm_nfnet_f0 2025-09-07T09:44:28.2027194Z W0907 09:44:28.201000 26542 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:44:38.1846737Z pass 2025-09-07T09:44:41.9875326Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:44:41.9876733Z import pynvml # type: ignore[import] 2025-09-07T09:44:45.2964928Z 2025-09-07T09:44:47.2424642Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:44:47.2425525Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:44:47.2425858Z cuda train dpn107 2025-09-07T09:45:07.5549178Z pass 2025-09-07T09:45:11.4896068Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:45:11.4897476Z import pynvml # type: ignore[import] 2025-09-07T09:45:14.7644451Z 2025-09-07T09:45:16.0565343Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:45:16.0565713Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:45:16.0566284Z cuda train eca_botnext26ts_256 2025-09-07T09:45:28.4685217Z W0907 09:45:28.467000 26866 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:45:32.7282948Z pass 2025-09-07T09:45:36.5364501Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:45:36.5365908Z import pynvml # type: ignore[import] 2025-09-07T09:45:39.8336318Z 2025-09-07T09:45:41.0919810Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:45:41.0920203Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:45:41.0920669Z cuda train eca_halonext26ts 2025-09-07T09:45:52.7395087Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 442, in torch_dynamo_resume_in_forward_and_backward_pass_at_440 2025-09-07T09:45:52.7396346Z pred = mod(*cloned_inputs) 2025-09-07T09:45:52.7396926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T09:45:52.7397947Z x = self.forward_features(x) 2025-09-07T09:45:52.7398571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T09:45:52.7399200Z x = self.stages(x) 2025-09-07T09:45:52.7399725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 894, in forward 2025-09-07T09:45:52.7400294Z x = self.self_attn(x) 2025-09-07T09:45:52.7400837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/halo_attn.py", line 191, in forward 2025-09-07T09:45:52.7401638Z kv = kv.unfold(2, self.win_size, self.block_size).unfold(3, self.win_size, self.block_size).reshape( 2025-09-07T09:45:52.7402060Z 2025-09-07T09:45:52.7402065Z 2025-09-07T09:45:53.8139564Z W0907 09:45:53.813000 27028 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:45:57.9007221Z pass 2025-09-07T09:46:01.7362119Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:46:01.7363552Z import pynvml # type: ignore[import] 2025-09-07T09:46:05.0688851Z 2025-09-07T09:46:06.2857598Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:46:06.2857997Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:46:06.2858338Z cuda train ese_vovnet19b_dw 2025-09-07T09:46:17.7440124Z W0907 09:46:17.743000 27190 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T09:46:21.4075987Z pass 2025-09-07T09:46:25.1838429Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:46:25.1840327Z import pynvml # type: ignore[import] 2025-09-07T09:46:28.5215106Z 2025-09-07T09:46:29.6318251Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:46:29.6318639Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:46:29.6319209Z cuda train fbnetc_100 2025-09-07T09:46:43.6487809Z W0907 09:46:43.648000 27352 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T09:46:51.8041070Z pass 2025-09-07T09:46:55.7981075Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:46:55.7982504Z import pynvml # type: ignore[import] 2025-09-07T09:46:59.2113552Z 2025-09-07T09:47:00.6144563Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:47:00.6145028Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:47:00.6145363Z cuda train fbnetv3_b 2025-09-07T09:47:19.2378908Z pass 2025-09-07T09:47:23.0190962Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:47:23.0192444Z import pynvml # type: ignore[import] 2025-09-07T09:47:26.3050842Z 2025-09-07T09:47:27.8337305Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:47:27.8337697Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:47:27.8338408Z cuda train gernet_l 2025-09-07T09:47:41.7677278Z pass 2025-09-07T09:47:44.3262944Z accuracy pass_rate=100.00% 2025-09-07T09:47:44.3269960Z calls_captured gmean=837.90x mean=990.100x 2025-09-07T09:47:44.3274046Z unique_graphs gmean=2.81x mean=2.900x 2025-09-07T09:47:44.3278435Z graph_breaks gmean=6.68x mean=6.700x 2025-09-07T09:47:44.3282906Z unique_graph_breaks gmean=5.00x mean=5.000x 2025-09-07T09:47:44.3287349Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T09:47:44.3291751Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T09:47:44.3296590Z cudagraph_skips gmean=0.00x mean=0.100x 2025-09-07T09:47:44.3298064Z compilation_latency mean=17.750 seconds 2025-09-07T09:47:45.9364576Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cppwrapper-true* ]] 2025-09-07T09:47:45.9366042Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T09:47:45.9367548Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 6 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T09:47:47.0015610Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:47:47.0017024Z import pynvml # type: ignore[import] 2025-09-07T09:47:51.9808563Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:47:51.9815199Z import pynvml # type: ignore[import] 2025-09-07T09:47:55.3195378Z 2025-09-07T09:47:57.0747819Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:47:57.0748211Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:47:57.0748547Z cuda train deit_base_distilled_patch16_224 2025-09-07T09:48:51.8277401Z W0907 09:48:51.826000 27885 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:49:30.5690084Z pass 2025-09-07T09:49:35.9003603Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:49:35.9005005Z import pynvml # type: ignore[import] 2025-09-07T09:49:39.2748313Z 2025-09-07T09:49:40.8868641Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:49:40.8869048Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:49:40.8869367Z cuda train dla102 2025-09-07T09:52:09.5982449Z W0907 09:52:09.597000 28591 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:53:43.9493069Z pass 2025-09-07T09:53:52.7447361Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:53:52.7448780Z import pynvml # type: ignore[import] 2025-09-07T09:53:56.0853674Z 2025-09-07T09:53:58.1023490Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:53:58.1023870Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:53:58.1024202Z cuda train dm_nfnet_f0 2025-09-07T09:55:22.9123843Z W0907 09:55:22.911000 29220 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:56:26.8417974Z pass 2025-09-07T09:56:33.5153188Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:56:33.5154599Z import pynvml # type: ignore[import] 2025-09-07T09:56:36.8548560Z 2025-09-07T09:56:38.7980172Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:56:38.7980526Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:56:38.7980844Z cuda train dpn107 2025-09-07T09:59:24.4944259Z pass 2025-09-07T09:59:31.1660668Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:59:31.1662121Z import pynvml # type: ignore[import] 2025-09-07T09:59:34.4998844Z 2025-09-07T09:59:35.7996368Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:59:35.7996748Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:59:35.7997081Z cuda train eca_botnext26ts_256 2025-09-07T10:00:47.4424895Z W0907 10:00:47.441000 30358 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:01:12.2150990Z pass 2025-09-07T10:01:17.8642213Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:01:17.8643697Z import pynvml # type: ignore[import] 2025-09-07T10:01:21.2315766Z 2025-09-07T10:01:22.5987638Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:22.5988058Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:01:22.5988395Z cuda train eca_halonext26ts 2025-09-07T10:02:41.0315306Z W0907 10:02:41.030000 30848 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:03:07.0905310Z pass 2025-09-07T10:03:12.7346776Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:03:12.7348189Z import pynvml # type: ignore[import] 2025-09-07T10:03:16.1404456Z 2025-09-07T10:03:17.2727839Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:03:17.2728240Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:03:17.2728606Z cuda train ese_vovnet19b_dw 2025-09-07T10:04:15.4654134Z W0907 10:04:15.464000 31238 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T10:04:36.3921620Z pass 2025-09-07T10:04:41.2838387Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:04:41.2839807Z import pynvml # type: ignore[import] 2025-09-07T10:04:44.5841351Z 2025-09-07T10:04:45.7025320Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:04:45.7025712Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:04:45.7026043Z cuda train fbnetc_100 2025-09-07T10:06:22.0841134Z W0907 10:06:22.083000 31587 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T10:07:11.6688293Z pass 2025-09-07T10:07:18.4198163Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:07:18.4199605Z import pynvml # type: ignore[import] 2025-09-07T10:07:21.8132705Z 2025-09-07T10:07:23.2359884Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:07:23.2360280Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:07:23.2360606Z cuda train fbnetv3_b 2025-09-07T10:10:09.0995114Z pass 2025-09-07T10:10:16.0203151Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:10:16.0204662Z import pynvml # type: ignore[import] 2025-09-07T10:10:19.3727909Z 2025-09-07T10:10:20.8875943Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:10:20.8876335Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:10:20.8876648Z cuda train gernet_l 2025-09-07T10:11:36.8902764Z pass 2025-09-07T10:11:40.8916917Z accuracy pass_rate=100.00% 2025-09-07T10:11:40.8923078Z calls_captured gmean=837.90x mean=990.100x 2025-09-07T10:11:40.8927566Z unique_graphs gmean=2.81x mean=2.900x 2025-09-07T10:11:40.8931980Z graph_breaks gmean=6.68x mean=6.700x 2025-09-07T10:11:40.8936944Z unique_graph_breaks gmean=5.00x mean=5.000x 2025-09-07T10:11:40.8941397Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:11:40.8945975Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:11:40.8950246Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:11:40.8951689Z compilation_latency mean=130.522 seconds 2025-09-07T10:11:42.0352208Z + [[ 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* ]] 2025-09-07T10:11:42.0353702Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:11:42.0355134Z + [[ 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* ]] 2025-09-07T10:11:42.0356575Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:11:42.0357940Z + [[ 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* ]] 2025-09-07T10:11:42.0359311Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:11:42.0360690Z + [[ 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* ]] 2025-09-07T10:11:42.0362059Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T10:11:42.0363430Z + python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 6 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.csv 2025-09-07T10:11:43.0855044Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:11:43.0856529Z import pynvml # type: ignore[import] 2025-09-07T10:11:48.1751780Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:11:48.1753386Z import pynvml # type: ignore[import] 2025-09-07T10:11:51.5064025Z 2025-09-07T10:11:53.2571163Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:11:53.2571535Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:11:53.2571876Z cuda train deit_base_distilled_patch16_224 2025-09-07T10:12:11.4672614Z Autotune Choices Stats: 2025-09-07T10:12:11.4674159Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.043007999658584595, "best_triton_pos": 1, "best_triton_time": 0.04915200173854828, "best_triton_kernel": "triton_mm_59", "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"} 2025-09-07T10:12:11.4678823Z AUTOTUNE addmm(1584x3072, 1584x768, 768x3072) 2025-09-07T10:12:11.4679151Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:12:11.4679503Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:11.4679873Z bias_addmm 0.0430 ms 100.0% 2025-09-07T10:12:11.4680597Z triton_mm_59 0.0492 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 2025-09-07T10:12:11.4681791Z triton_mm_58 0.0512 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 2025-09-07T10:12:11.4682967Z triton_mm_52 0.0522 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 2025-09-07T10:12:11.4684464Z triton_mm_54 0.0532 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:11.4685643Z triton_mm_55 0.0532 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:11.4686820Z triton_mm_60 0.0532 ms 80.8% 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 2025-09-07T10:12:11.4687566Z addmm 0.0604 ms 71.2% 2025-09-07T10:12:11.4688261Z triton_mm_53 0.0614 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 2025-09-07T10:12:11.4689429Z triton_mm_56 0.0614 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 2025-09-07T10:12:11.4690436Z SingleProcess AUTOTUNE benchmarking takes 0.4253 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:12:12.2210519Z Autotune Choices Stats: 2025-09-07T10:12:12.2211742Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_892", "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} 2025-09-07T10:12:12.2217263Z AUTOTUNE mm(8x768, 768x1000) 2025-09-07T10:12:12.2217571Z strides: [768, 1], [1, 768] 2025-09-07T10:12:12.2217867Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:12.2218623Z triton_mm_892 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 2025-09-07T10:12:12.2220162Z triton_mm_896 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 2025-09-07T10:12:12.2221351Z triton_mm_900 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 2025-09-07T10:12:12.2222097Z mm 0.0123 ms 83.3% 2025-09-07T10:12:12.2222781Z triton_mm_890 0.0123 ms 83.3% 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 2025-09-07T10:12:12.2223953Z triton_mm_891 0.0123 ms 83.3% 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 2025-09-07T10:12:12.2225182Z triton_mm_895 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 2025-09-07T10:12:12.2226370Z triton_mm_904 0.0123 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:12.2227547Z triton_mm_889 0.0133 ms 76.9% 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 2025-09-07T10:12:12.2228717Z triton_mm_899 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 2025-09-07T10:12:12.2229739Z SingleProcess AUTOTUNE benchmarking takes 0.2395 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:12:14.1694672Z Autotune Choices Stats: 2025-09-07T10:12:14.1696064Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_6", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.1884160041809082, "best_triton_pos": 0} 2025-09-07T10:12:14.1701246Z AUTOTUNE convolution(8x3x224x224, 768x3x16x16) 2025-09-07T10:12:14.1701630Z strides: [150528, 50176, 224, 1], [768, 256, 16, 1] 2025-09-07T10:12:14.1701992Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:14.1702894Z triton_convolution2d_6 0.1884 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:14.1704391Z triton_convolution2d_3 0.2048 ms 92.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:14.1705973Z triton_convolution2d_1 0.2120 ms 88.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:14.1707458Z triton_convolution2d_4 0.2345 ms 80.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:14.1708931Z triton_convolution2d_0 0.2775 ms 67.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:14.1710418Z triton_convolution2d_5 0.2775 ms 67.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:14.1711320Z convolution 0.2908 ms 64.8% 2025-09-07T10:12:14.1712373Z triton_convolution2d_2 0.4977 ms 37.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:12:14.1713529Z SingleProcess AUTOTUNE benchmarking takes 0.2827 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:12:14.5551531Z Autotune Choices Stats: 2025-09-07T10:12:14.5553055Z {"num_choices": 20, "num_triton_choices": 18, "best_kernel": "bias_addmm", "best_time": 0.04198399931192398, "best_triton_pos": 1, "best_triton_time": 0.04505600035190582, "best_triton_kernel": "triton_mm_16", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:12:14.5558901Z AUTOTUNE addmm(1584x2304, 1584x768, 768x2304) 2025-09-07T10:12:14.5559239Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:12:14.5559592Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:12:14.5559995Z bias_addmm 0.0420 ms 100.0% 2025-09-07T10:12:14.5560716Z triton_mm_16 0.0451 ms 93.2% 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 2025-09-07T10:12:14.5561883Z triton_mm_18 0.0451 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:14.5563044Z triton_mm_19 0.0451 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:14.5564212Z triton_mm_23 0.0471 ms 89.1% 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 2025-09-07T10:12:14.5565388Z triton_mm_22 0.0502 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:14.5566432Z addmm 0.0512 ms 82.0% 2025-09-07T10:12:14.5567117Z triton_mm_24 0.0512 ms 82.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:14.5568288Z triton_mm_17 0.0522 ms 80.4% 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 2025-09-07T10:12:14.5569456Z triton_mm_20 0.0522 ms 80.4% 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 2025-09-07T10:12:14.5570469Z SingleProcess AUTOTUNE benchmarking takes 0.3851 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:12:14.8303846Z Autotune Choices Stats: 2025-09-07T10:12:14.8305371Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.020479999482631683, "best_triton_kernel": "triton_mm_36", "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"} 2025-09-07T10:12:14.8312178Z AUTOTUNE mm(1584x768, 768x768) 2025-09-07T10:12:14.8312584Z strides: [768, 1], [1, 768] 2025-09-07T10:12:14.8312873Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:14.8313185Z mm 0.0195 ms 100.0% 2025-09-07T10:12:14.8313893Z triton_mm_36 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:14.8315081Z triton_mm_42 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:14.8316601Z triton_mm_41 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:14.8317757Z triton_mm_32 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:12:14.8318937Z triton_mm_34 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:14.8320101Z triton_mm_37 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:14.8321261Z triton_mm_35 0.0236 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:14.8322439Z triton_mm_38 0.0246 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:14.8323603Z triton_mm_40 0.0246 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:14.8324624Z SingleProcess AUTOTUNE benchmarking takes 0.2741 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:15.2214670Z Autotune Choices Stats: 2025-09-07T10:12:15.2216140Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.04710400104522705, "best_triton_pos": 1, "best_triton_time": 0.058368001133203506, "best_triton_kernel": "triton_mm_72", "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"} 2025-09-07T10:12:15.2222947Z AUTOTUNE mm(1584x3072, 3072x768) 2025-09-07T10:12:15.2223263Z strides: [3072, 1], [1, 3072] 2025-09-07T10:12:15.2223566Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:15.2223863Z mm 0.0471 ms 100.0% 2025-09-07T10:12:15.2224559Z triton_mm_72 0.0584 ms 80.7% 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 2025-09-07T10:12:15.2225833Z triton_mm_77 0.0594 ms 79.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:15.2227007Z triton_mm_69 0.0635 ms 74.2% 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 2025-09-07T10:12:15.2228176Z triton_mm_78 0.0635 ms 74.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:15.2229364Z triton_mm_68 0.0645 ms 73.0% 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 2025-09-07T10:12:15.2230514Z triton_mm_73 0.0686 ms 68.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:15.2231681Z triton_mm_70 0.0707 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 2025-09-07T10:12:15.2232856Z triton_mm_76 0.0727 ms 64.8% 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 2025-09-07T10:12:15.2234024Z triton_mm_71 0.0737 ms 63.9% 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 2025-09-07T10:12:15.2235197Z SingleProcess AUTOTUNE benchmarking takes 0.3896 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:28.2211257Z Autotune Choices Stats: 2025-09-07T10:12:28.2212749Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.04198399931192398, "best_triton_pos": 1, "best_triton_time": 0.04403200000524521, "best_triton_kernel": "triton_mm_987", "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"} 2025-09-07T10:12:28.2220614Z AUTOTUNE mm(1584x768, 768x3072) 2025-09-07T10:12:28.2220970Z strides: [768, 1], [3072, 1] 2025-09-07T10:12:28.2221272Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:28.2221586Z mm 0.0420 ms 100.0% 2025-09-07T10:12:28.2222321Z triton_mm_987 0.0440 ms 95.3% 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 2025-09-07T10:12:28.2223535Z triton_mm_986 0.0471 ms 89.1% 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 2025-09-07T10:12:28.2224721Z triton_mm_982 0.0481 ms 87.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:28.2225942Z triton_mm_980 0.0492 ms 85.4% 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 2025-09-07T10:12:28.2227117Z triton_mm_983 0.0492 ms 85.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:28.2228308Z triton_mm_988 0.0512 ms 82.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:28.2229837Z triton_mm_981 0.0543 ms 77.4% 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 2025-09-07T10:12:28.2231011Z triton_mm_984 0.0573 ms 73.2% 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 2025-09-07T10:12:28.2232313Z triton_mm_977 0.0635 ms 66.1% 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 2025-09-07T10:12:28.2233323Z SingleProcess AUTOTUNE benchmarking takes 0.3641 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:12:29.1682911Z Autotune Choices Stats: 2025-09-07T10:12:29.1684426Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.048128001391887665, "best_triton_pos": 1, "best_triton_time": 0.04915200173854828, "best_triton_kernel": "triton_mm_1000", "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"} 2025-09-07T10:12:29.1692469Z AUTOTUNE mm(768x1584, 1584x3072) 2025-09-07T10:12:29.1692780Z strides: [1, 768], [3072, 1] 2025-09-07T10:12:29.1693259Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:29.1693582Z mm 0.0481 ms 100.0% 2025-09-07T10:12:29.1694282Z triton_mm_1000 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 2025-09-07T10:12:29.1695488Z triton_mm_998 0.0522 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:29.1697015Z triton_mm_1001 0.0522 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:29.1698348Z triton_mm_1005 0.0563 ms 85.5% 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 2025-09-07T10:12:29.1699559Z triton_mm_1004 0.0594 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 2025-09-07T10:12:29.1700754Z triton_mm_999 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 2025-09-07T10:12:29.1701940Z triton_mm_1002 0.0625 ms 77.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:29.1703125Z triton_mm_996 0.0645 ms 74.6% 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 2025-09-07T10:12:29.1704307Z triton_mm_995 0.0676 ms 71.2% 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 2025-09-07T10:12:29.1705425Z SingleProcess AUTOTUNE benchmarking takes 0.3631 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:12:29.7598393Z Autotune Choices Stats: 2025-09-07T10:12:29.7599868Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.048128001391887665, "best_triton_pos": 1, "best_triton_time": 0.04915200173854828, "best_triton_kernel": "triton_mm_1036", "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"} 2025-09-07T10:12:29.7609166Z AUTOTUNE mm(3072x1584, 1584x768) 2025-09-07T10:12:29.7609555Z strides: [1, 3072], [768, 1] 2025-09-07T10:12:29.7609868Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:29.7610167Z mm 0.0481 ms 100.0% 2025-09-07T10:12:29.7610892Z triton_mm_1036 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 2025-09-07T10:12:29.7612096Z triton_mm_1037 0.0512 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:29.7613549Z triton_mm_1034 0.0532 ms 90.4% 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 2025-09-07T10:12:29.7614766Z triton_mm_1041 0.0563 ms 85.5% 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 2025-09-07T10:12:29.7615987Z triton_mm_1040 0.0604 ms 79.7% 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 2025-09-07T10:12:29.7617174Z triton_mm_1035 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 2025-09-07T10:12:29.7618369Z triton_mm_1038 0.0635 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=4, num_warps=8 2025-09-07T10:12:29.7619563Z triton_mm_1032 0.0645 ms 74.6% 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 2025-09-07T10:12:29.7621038Z triton_mm_1031 0.0676 ms 71.2% 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 2025-09-07T10:12:29.7622083Z SingleProcess AUTOTUNE benchmarking takes 0.3715 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:12:30.4024383Z Autotune Choices Stats: 2025-09-07T10:12:30.4025674Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1113", "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": 0.03686400130391121, "best_triton_pos": 0} 2025-09-07T10:12:30.4035420Z AUTOTUNE mm(2304x1584, 1584x768) 2025-09-07T10:12:30.4035765Z strides: [1, 2304], [768, 1] 2025-09-07T10:12:30.4036067Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:30.4036845Z triton_mm_1113 0.0369 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 2025-09-07T10:12:30.4037646Z mm 0.0379 ms 97.3% 2025-09-07T10:12:30.4038356Z triton_mm_1108 0.0379 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:30.4039552Z triton_mm_1114 0.0379 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:30.4040749Z triton_mm_1109 0.0410 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=3, num_warps=4 2025-09-07T10:12:30.4041953Z triton_mm_1112 0.0410 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:30.4043148Z triton_mm_1106 0.0430 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 2025-09-07T10:12:30.4044619Z triton_mm_1110 0.0430 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:30.4045811Z triton_mm_1107 0.0440 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:30.4046998Z triton_mm_1104 0.0471 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:12:30.4048021Z SingleProcess AUTOTUNE benchmarking takes 0.3309 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:12:30.9551311Z Autotune Choices Stats: 2025-09-07T10:12:30.9552563Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_955", "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} 2025-09-07T10:12:30.9561671Z AUTOTUNE mm(1000x8, 8x768) 2025-09-07T10:12:30.9561976Z strides: [1, 1000], [768, 1] 2025-09-07T10:12:30.9562279Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:30.9563027Z triton_mm_955 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 2025-09-07T10:12:30.9564239Z triton_mm_956 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 2025-09-07T10:12:30.9565426Z triton_mm_957 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 2025-09-07T10:12:30.9566928Z triton_mm_958 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 2025-09-07T10:12:30.9568115Z triton_mm_959 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 2025-09-07T10:12:30.9569307Z triton_mm_960 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 2025-09-07T10:12:30.9570494Z triton_mm_961 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 2025-09-07T10:12:30.9571666Z triton_mm_962 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 2025-09-07T10:12:30.9573134Z triton_mm_964 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 2025-09-07T10:12:30.9574328Z triton_mm_965 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:12:30.9575354Z SingleProcess AUTOTUNE benchmarking takes 0.2062 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:12:31.4876192Z Autotune Choices Stats: 2025-09-07T10:12:31.4877717Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_mm_1072", "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"} 2025-09-07T10:12:31.4887289Z AUTOTUNE mm(768x1584, 1584x768) 2025-09-07T10:12:31.4887599Z strides: [1, 768], [768, 1] 2025-09-07T10:12:31.4887908Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:31.4888234Z mm 0.0205 ms 100.0% 2025-09-07T10:12:31.4888942Z triton_mm_1072 0.0256 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:31.4890133Z triton_mm_1068 0.0276 ms 74.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:12:31.4891304Z triton_mm_1071 0.0287 ms 71.4% 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 2025-09-07T10:12:31.4892512Z triton_mm_1074 0.0297 ms 69.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:31.4893909Z triton_mm_1069 0.0307 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:31.4895108Z triton_mm_1073 0.0338 ms 60.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:31.4896306Z triton_mm_1077 0.0348 ms 58.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:31.4897498Z triton_mm_1064 0.0358 ms 57.1% 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 2025-09-07T10:12:31.4898893Z triton_mm_1070 0.0358 ms 57.1% 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 2025-09-07T10:12:31.4899909Z SingleProcess AUTOTUNE benchmarking takes 0.2979 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:12:32.7084118Z Autotune Choices Stats: 2025-09-07T10:12:32.7085338Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_909", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:12:32.7095889Z AUTOTUNE mm(8x1000, 1000x768) 2025-09-07T10:12:32.7096208Z strides: [1000, 1], [768, 1] 2025-09-07T10:12:32.7096521Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:32.7097307Z triton_mm_909 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:12:32.7098527Z triton_mm_913 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 2025-09-07T10:12:32.7099275Z mm 0.0123 ms 83.3% 2025-09-07T10:12:32.7099982Z triton_mm_917 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 2025-09-07T10:12:32.7101168Z triton_mm_907 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 2025-09-07T10:12:32.7102342Z triton_mm_908 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 2025-09-07T10:12:32.7103829Z triton_mm_921 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 2025-09-07T10:12:32.7105081Z triton_mm_912 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 2025-09-07T10:12:32.7106263Z triton_mm_906 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 2025-09-07T10:12:32.7107446Z triton_mm_916 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 2025-09-07T10:12:32.7108467Z SingleProcess AUTOTUNE benchmarking takes 0.2424 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:12:33.0869977Z Autotune Choices Stats: 2025-09-07T10:12:33.0871511Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.04608000069856644, "best_triton_pos": 1, "best_triton_time": 0.05632000043988228, "best_triton_kernel": "triton_mm_1018", "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"} 2025-09-07T10:12:33.0883752Z AUTOTUNE mm(1584x3072, 3072x768) 2025-09-07T10:12:33.0884106Z strides: [3072, 1], [768, 1] 2025-09-07T10:12:33.0884408Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:33.0884704Z mm 0.0461 ms 100.0% 2025-09-07T10:12:33.0885430Z triton_mm_1018 0.0563 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.0886635Z triton_mm_1024 0.0584 ms 78.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:33.0888110Z triton_mm_1014 0.0625 ms 73.8% 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 2025-09-07T10:12:33.0889304Z triton_mm_1023 0.0625 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.0890497Z triton_mm_1016 0.0655 ms 70.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.0891661Z triton_mm_1015 0.0666 ms 69.2% 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 2025-09-07T10:12:33.0893091Z triton_mm_1019 0.0696 ms 66.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.0894302Z triton_mm_1022 0.0696 ms 66.2% 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 2025-09-07T10:12:33.0895493Z triton_mm_1020 0.0737 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:33.0896504Z SingleProcess AUTOTUNE benchmarking takes 0.3769 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:12:33.3577320Z Autotune Choices Stats: 2025-09-07T10:12:33.3578772Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.020479999482631683, "best_triton_kernel": "triton_mm_1054", "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"} 2025-09-07T10:12:33.3590717Z AUTOTUNE mm(1584x768, 768x768) 2025-09-07T10:12:33.3591017Z strides: [768, 1], [768, 1] 2025-09-07T10:12:33.3591311Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:33.3591634Z mm 0.0195 ms 100.0% 2025-09-07T10:12:33.3592334Z triton_mm_1054 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.3593529Z triton_mm_1059 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.3594725Z triton_mm_1060 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:12:33.3595908Z triton_mm_1050 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:12:33.3597090Z triton_mm_1052 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.3598268Z triton_mm_1055 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.3599445Z triton_mm_1053 0.0236 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:33.3600640Z triton_mm_1058 0.0236 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.3601988Z triton_mm_1056 0.0246 ms 79.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:12:33.3603020Z SingleProcess AUTOTUNE benchmarking takes 0.2694 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:12:33.7023918Z Autotune Choices Stats: 2025-09-07T10:12:33.7025402Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03686400130391121, "best_triton_pos": 1, "best_triton_time": 0.04403200000524521, "best_triton_kernel": "triton_mm_1090", "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"} 2025-09-07T10:12:33.7037367Z AUTOTUNE mm(1584x2304, 2304x768) 2025-09-07T10:12:33.7037699Z strides: [2304, 1], [768, 1] 2025-09-07T10:12:33.7038061Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:33.7038367Z mm 0.0369 ms 100.0% 2025-09-07T10:12:33.7039108Z triton_mm_1090 0.0440 ms 83.7% 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 2025-09-07T10:12:33.7040306Z triton_mm_1096 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 2025-09-07T10:12:33.7041486Z triton_mm_1086 0.0492 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 2025-09-07T10:12:33.7042667Z triton_mm_1095 0.0492 ms 75.0% 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 2025-09-07T10:12:33.7043865Z triton_mm_1087 0.0512 ms 72.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:12:33.7045247Z triton_mm_1088 0.0512 ms 72.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:12:33.7046427Z triton_mm_1091 0.0543 ms 67.9% 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 2025-09-07T10:12:33.7047619Z triton_mm_1094 0.0543 ms 67.9% 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 2025-09-07T10:12:33.7048812Z triton_mm_1089 0.0573 ms 64.3% 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 2025-09-07T10:12:33.7049836Z SingleProcess AUTOTUNE benchmarking takes 0.3435 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:12:38.9170606Z W0907 10:12:38.916000 32501 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:13:04.2996903Z pass 2025-09-07T10:13:09.6301056Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:13:09.6302471Z import pynvml # type: ignore[import] 2025-09-07T10:13:12.9529723Z 2025-09-07T10:13:14.5410180Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:13:14.5410557Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:13:14.5410887Z cuda train dla102 2025-09-07T10:14:03.1233098Z Autotune Choices Stats: 2025-09-07T10:14:03.1235227Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "convolution", "best_time": 0.1085439994931221, "best_triton_pos": 1, "best_triton_time": 0.1658879965543747, "best_triton_kernel": "triton_convolution2d_4", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:14:03.1247916Z AUTOTUNE convolution(8x3x224x224, 16x3x7x7) 2025-09-07T10:14:03.1248302Z strides: [150528, 1, 672, 3], [147, 1, 21, 3] 2025-09-07T10:14:03.1248654Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:03.1248974Z convolution 0.1085 ms 100.0% 2025-09-07T10:14:03.1249853Z triton_convolution2d_4 0.1659 ms 65.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.1251322Z triton_convolution2d_3 0.1823 ms 59.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.1253026Z triton_convolution2d_1 0.1853 ms 58.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.1254499Z triton_convolution2d_0 0.1915 ms 56.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.1255963Z triton_convolution2d_2 0.2519 ms 43.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:14:03.1257127Z SingleProcess AUTOTUNE benchmarking takes 0.1941 seconds and 0.0003 seconds precompiling for 6 choices 2025-09-07T10:14:03.2347491Z Autotune Choices Stats: 2025-09-07T10:14:03.2349113Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_convolution2d_6", "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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.050175998359918594, "best_triton_pos": 0} 2025-09-07T10:14:03.2361738Z AUTOTUNE convolution(8x16x224x224, 16x16x3x3) 2025-09-07T10:14:03.2362152Z strides: [802816, 1, 3584, 16], [144, 1, 48, 16] 2025-09-07T10:14:03.2362508Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:03.2363424Z triton_convolution2d_6 0.0502 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.2364335Z convolution 0.0512 ms 98.0% 2025-09-07T10:14:03.2365204Z triton_convolution2d_9 0.0522 ms 96.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.2366676Z triton_convolution2d_5 0.0543 ms 92.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.2368125Z triton_convolution2d_8 0.0563 ms 89.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.2369586Z triton_convolution2d_7 0.0635 ms 79.0% 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 2025-09-07T10:14:03.2370739Z SingleProcess AUTOTUNE benchmarking takes 0.1092 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:14:03.3499177Z Autotune Choices Stats: 2025-09-07T10:14:03.3500868Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_11", "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": 0.03276799991726875, "best_triton_pos": 0} 2025-09-07T10:14:03.3514173Z AUTOTUNE convolution(8x16x224x224, 32x16x3x3) 2025-09-07T10:14:03.3514572Z strides: [802816, 1, 3584, 16], [144, 1, 48, 16] 2025-09-07T10:14:03.3514919Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:03.3515911Z triton_convolution2d_11 0.0328 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.3516825Z convolution 0.0338 ms 97.0% 2025-09-07T10:14:03.3517695Z triton_convolution2d_10 0.0338 ms 97.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.3519154Z triton_convolution2d_13 0.0348 ms 94.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.3520614Z triton_convolution2d_15 0.0369 ms 88.9% 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 2025-09-07T10:14:03.3522068Z triton_convolution2d_14 0.0379 ms 86.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.3523538Z triton_convolution2d_12 0.0461 ms 71.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:14:03.3524883Z SingleProcess AUTOTUNE benchmarking takes 0.1146 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:14:03.5964812Z Autotune Choices Stats: 2025-09-07T10:14:03.5965946Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_22", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:14:03.5979381Z AUTOTUNE mm(25088x32, 32x128) 2025-09-07T10:14:03.5979696Z strides: [32, 1], [1, 32] 2025-09-07T10:14:03.5979998Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:03.5980765Z triton_mm_22 0.0113 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 2025-09-07T10:14:03.5981957Z triton_mm_24 0.0113 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 2025-09-07T10:14:03.5983129Z triton_mm_29 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 2025-09-07T10:14:03.5984280Z triton_mm_18 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 2025-09-07T10:14:03.5985505Z triton_mm_20 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=4 2025-09-07T10:14:03.5986657Z triton_mm_23 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:03.5988072Z triton_mm_25 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 2025-09-07T10:14:03.5989252Z triton_mm_26 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 2025-09-07T10:14:03.5990417Z triton_mm_27 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=4 2025-09-07T10:14:03.5991592Z triton_mm_28 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 2025-09-07T10:14:03.5992596Z SingleProcess AUTOTUNE benchmarking takes 0.2459 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:14:03.8361714Z Autotune Choices Stats: 2025-09-07T10:14:03.8362908Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_35", "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": 0.01945599913597107, "best_triton_pos": 0} 2025-09-07T10:14:03.8381627Z AUTOTUNE mm(100352x32, 32x64) 2025-09-07T10:14:03.8381976Z strides: [32, 1], [1, 32] 2025-09-07T10:14:03.8382266Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:03.8383017Z triton_mm_35 0.0195 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 2025-09-07T10:14:03.8384196Z triton_mm_37 0.0195 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 2025-09-07T10:14:03.8385471Z triton_mm_41 0.0195 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 2025-09-07T10:14:03.8386939Z triton_mm_46 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:03.8388119Z triton_mm_47 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.8389300Z triton_mm_48 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:03.8390457Z triton_mm_36 0.0205 ms 95.0% 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 2025-09-07T10:14:03.8391628Z triton_mm_39 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.8392790Z triton_mm_40 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:03.8393937Z triton_mm_42 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:03.8394953Z SingleProcess AUTOTUNE benchmarking takes 0.2395 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:14:03.9736745Z Autotune Choices Stats: 2025-09-07T10:14:03.9738683Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03276799991726875, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_convolution2d_52", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:14:03.9752175Z AUTOTUNE convolution(8x64x112x112, 64x64x3x3) 2025-09-07T10:14:03.9752575Z strides: [802816, 1, 7168, 64], [576, 1, 192, 64] 2025-09-07T10:14:03.9752936Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:03.9753268Z convolution 0.0328 ms 100.0% 2025-09-07T10:14:03.9754148Z triton_convolution2d_52 0.0348 ms 94.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.9755623Z triton_convolution2d_53 0.0379 ms 86.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.9757078Z triton_convolution2d_54 0.0379 ms 86.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.9758540Z triton_convolution2d_55 0.0399 ms 82.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:03.9760007Z triton_convolution2d_50 0.0471 ms 69.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.9761475Z triton_convolution2d_49 0.0635 ms 51.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:03.9763127Z triton_convolution2d_51 0.0768 ms 42.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:14:03.9764300Z SingleProcess AUTOTUNE benchmarking takes 0.1365 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:04.2401385Z Autotune Choices Stats: 2025-09-07T10:14:04.2402542Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_64", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:14:04.2417895Z AUTOTUNE mm(25088x64, 64x128) 2025-09-07T10:14:04.2418239Z strides: [64, 1], [1, 64] 2025-09-07T10:14:04.2418518Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:04.2419283Z triton_mm_64 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:04.2420492Z triton_mm_67 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.2421675Z triton_mm_68 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:04.2422858Z triton_mm_71 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:14:04.2424046Z triton_mm_72 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.2425588Z triton_mm_60 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:04.2426769Z triton_mm_63 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:04.2427938Z triton_mm_65 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.2429101Z triton_mm_69 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.2430269Z triton_mm_70 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:04.2431279Z SingleProcess AUTOTUNE benchmarking takes 0.2645 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:14:04.4964825Z Autotune Choices Stats: 2025-09-07T10:14:04.4965976Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_81", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:14:04.4981578Z AUTOTUNE mm(25088x128, 128x64) 2025-09-07T10:14:04.4981924Z strides: [128, 1], [1, 128] 2025-09-07T10:14:04.4982218Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:04.4982989Z triton_mm_81 0.0164 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 2025-09-07T10:14:04.4984156Z triton_mm_82 0.0164 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 2025-09-07T10:14:04.4990939Z triton_mm_84 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.4992118Z triton_mm_86 0.0164 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 2025-09-07T10:14:04.4993294Z triton_mm_88 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 2025-09-07T10:14:04.4994473Z triton_mm_90 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=2, num_warps=8 2025-09-07T10:14:04.4995641Z triton_mm_91 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.4996821Z triton_mm_83 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 2025-09-07T10:14:04.4997986Z triton_mm_85 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=4, num_warps=8 2025-09-07T10:14:04.4999144Z triton_mm_87 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=4, num_warps=4 2025-09-07T10:14:04.5000154Z SingleProcess AUTOTUNE benchmarking takes 0.2557 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:04.6283178Z Autotune Choices Stats: 2025-09-07T10:14:04.6285036Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.027648000046610832, "best_triton_kernel": "triton_convolution2d_96", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:14:04.6299426Z AUTOTUNE convolution(8x64x56x56, 64x64x3x3) 2025-09-07T10:14:04.6299819Z strides: [200704, 1, 3584, 64], [576, 1, 192, 64] 2025-09-07T10:14:04.6300170Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:04.6300503Z convolution 0.0225 ms 100.0% 2025-09-07T10:14:04.6301383Z triton_convolution2d_96 0.0276 ms 81.5% 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 2025-09-07T10:14:04.6302863Z triton_convolution2d_97 0.0348 ms 64.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:04.6304333Z triton_convolution2d_98 0.0348 ms 64.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:04.6305851Z triton_convolution2d_99 0.0358 ms 62.9% 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 2025-09-07T10:14:04.6307302Z triton_convolution2d_94 0.0430 ms 52.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:04.6308763Z triton_convolution2d_93 0.0614 ms 36.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:04.6310374Z triton_convolution2d_95 0.0625 ms 36.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:14:04.6311543Z SingleProcess AUTOTUNE benchmarking takes 0.1312 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:04.9145065Z Autotune Choices Stats: 2025-09-07T10:14:04.9146274Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_135", "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": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T10:14:04.9161733Z AUTOTUNE mm(25088x256, 256x128) 2025-09-07T10:14:04.9162056Z strides: [256, 1], [1, 256] 2025-09-07T10:14:04.9162339Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:04.9163172Z triton_mm_135 0.0256 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.9164372Z triton_mm_130 0.0266 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.9165553Z triton_mm_131 0.0266 ms 96.2% 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 2025-09-07T10:14:04.9166726Z triton_mm_134 0.0266 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.9167903Z triton_mm_128 0.0276 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:04.9169393Z triton_mm_133 0.0276 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:14:04.9170130Z mm 0.0287 ms 89.3% 2025-09-07T10:14:04.9170818Z triton_mm_126 0.0287 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:04.9171982Z triton_mm_129 0.0287 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:04.9173389Z triton_mm_132 0.0287 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:04.9174409Z SingleProcess AUTOTUNE benchmarking takes 0.2836 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:14:05.1638572Z Autotune Choices Stats: 2025-09-07T10:14:05.1639722Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_146", "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} 2025-09-07T10:14:05.1656646Z AUTOTUNE mm(6272x128, 128x256) 2025-09-07T10:14:05.1656953Z strides: [128, 1], [1, 128] 2025-09-07T10:14:05.1657252Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:05.1658029Z triton_mm_146 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 2025-09-07T10:14:05.1659226Z triton_mm_149 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 2025-09-07T10:14:05.1660759Z triton_mm_150 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 2025-09-07T10:14:05.1661952Z triton_mm_152 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 2025-09-07T10:14:05.1663142Z triton_mm_143 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 2025-09-07T10:14:05.1664315Z triton_mm_145 0.0133 ms 92.3% 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 2025-09-07T10:14:05.1665576Z triton_mm_147 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 2025-09-07T10:14:05.1666772Z triton_mm_148 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 2025-09-07T10:14:05.1667954Z triton_mm_153 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 2025-09-07T10:14:05.1669140Z triton_mm_154 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 2025-09-07T10:14:05.1670170Z SingleProcess AUTOTUNE benchmarking takes 0.2488 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:05.4344644Z Autotune Choices Stats: 2025-09-07T10:14:05.4346150Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_167", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:14:05.4362711Z AUTOTUNE mm(25088x128, 128x128) 2025-09-07T10:14:05.4363027Z strides: [128, 1], [1, 128] 2025-09-07T10:14:05.4363322Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:05.4364096Z triton_mm_167 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:05.4365303Z triton_mm_169 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:14:05.4366494Z triton_mm_170 0.0184 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 2025-09-07T10:14:05.4367690Z triton_mm_164 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:05.4368871Z triton_mm_166 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:05.4370047Z triton_mm_168 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:05.4371221Z triton_mm_171 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:05.4371970Z mm 0.0205 ms 90.0% 2025-09-07T10:14:05.4372639Z triton_mm_165 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:05.4374189Z triton_mm_161 0.0215 ms 85.7% 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 2025-09-07T10:14:05.4375202Z SingleProcess AUTOTUNE benchmarking takes 0.2699 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:05.5841330Z Autotune Choices Stats: 2025-09-07T10:14:05.5842928Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.03993599861860275, "best_triton_kernel": "triton_convolution2d_177", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:14:05.5859523Z AUTOTUNE convolution(8x128x56x56, 128x128x3x3) 2025-09-07T10:14:05.5859930Z strides: [401408, 1, 7168, 128], [1152, 1, 384, 128] 2025-09-07T10:14:05.5860296Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:05.5860619Z convolution 0.0225 ms 100.0% 2025-09-07T10:14:05.5861496Z triton_convolution2d_177 0.0399 ms 56.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:05.5862971Z triton_convolution2d_178 0.0440 ms 51.2% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:05.5864451Z triton_convolution2d_176 0.0573 ms 39.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:05.5866138Z triton_convolution2d_179 0.0584 ms 38.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:05.5867615Z triton_convolution2d_173 0.0594 ms 37.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:05.5869089Z triton_convolution2d_174 0.0748 ms 30.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:05.5870565Z triton_convolution2d_175 0.1311 ms 17.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:14:05.5871728Z SingleProcess AUTOTUNE benchmarking takes 0.1491 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:05.8358265Z Autotune Choices Stats: 2025-09-07T10:14:05.8359471Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_205", "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} 2025-09-07T10:14:05.8376595Z AUTOTUNE mm(6272x256, 256x128) 2025-09-07T10:14:05.8376904Z strides: [256, 1], [1, 256] 2025-09-07T10:14:05.8377205Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:05.8377970Z triton_mm_205 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 2025-09-07T10:14:05.8379153Z triton_mm_207 0.0133 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 2025-09-07T10:14:05.8380682Z triton_mm_208 0.0133 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 2025-09-07T10:14:05.8381868Z triton_mm_209 0.0133 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 2025-09-07T10:14:05.8383056Z triton_mm_211 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:05.8383801Z mm 0.0143 ms 92.9% 2025-09-07T10:14:05.8384485Z triton_mm_210 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:05.8385735Z triton_mm_213 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:05.8386921Z triton_mm_204 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:14:05.8388091Z triton_mm_214 0.0154 ms 86.7% 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 2025-09-07T10:14:05.8389109Z SingleProcess AUTOTUNE benchmarking takes 0.2490 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:14:05.9821991Z Autotune Choices Stats: 2025-09-07T10:14:05.9823635Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.03788800165057182, "best_triton_kernel": "triton_convolution2d_220", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:14:05.9842331Z AUTOTUNE convolution(8x128x28x28, 128x128x3x3) 2025-09-07T10:14:05.9842709Z strides: [100352, 1, 3584, 128], [1152, 1, 384, 128] 2025-09-07T10:14:05.9843082Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:05.9843405Z convolution 0.0205 ms 100.0% 2025-09-07T10:14:05.9844295Z triton_convolution2d_220 0.0379 ms 54.1% 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 2025-09-07T10:14:05.9845773Z triton_convolution2d_221 0.0410 ms 50.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:05.9847254Z triton_convolution2d_219 0.0532 ms 38.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:05.9848727Z triton_convolution2d_216 0.0573 ms 35.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:05.9850216Z triton_convolution2d_222 0.0573 ms 35.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:05.9851686Z triton_convolution2d_217 0.0666 ms 30.8% 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 2025-09-07T10:14:05.9853391Z triton_convolution2d_218 0.1219 ms 16.8% 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 2025-09-07T10:14:05.9854722Z SingleProcess AUTOTUNE benchmarking takes 0.1459 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:06.2581519Z Autotune Choices Stats: 2025-09-07T10:14:06.2582688Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_258", "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": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:14:06.2600817Z AUTOTUNE mm(6272x512, 512x256) 2025-09-07T10:14:06.2601137Z strides: [512, 1], [1, 512] 2025-09-07T10:14:06.2601455Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:06.2602228Z triton_mm_258 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:06.2603459Z triton_mm_252 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:06.2604642Z triton_mm_257 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:06.2605383Z mm 0.0205 ms 90.0% 2025-09-07T10:14:06.2606065Z triton_mm_253 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:06.2607246Z triton_mm_250 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:06.2616026Z triton_mm_251 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:06.2617556Z triton_mm_254 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:06.2618754Z triton_mm_256 0.0225 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 2025-09-07T10:14:06.2619943Z triton_mm_248 0.0236 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:06.2620958Z SingleProcess AUTOTUNE benchmarking takes 0.2731 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:06.5548931Z Autotune Choices Stats: 2025-09-07T10:14:06.5550121Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_356", "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": 0.023552000522613525, "best_triton_pos": 0} 2025-09-07T10:14:06.5569058Z AUTOTUNE mm(6272x768, 768x256) 2025-09-07T10:14:06.5569406Z strides: [768, 1], [1, 768] 2025-09-07T10:14:06.5569708Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:06.5570491Z triton_mm_356 0.0236 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 2025-09-07T10:14:06.5571704Z triton_mm_362 0.0236 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 2025-09-07T10:14:06.5573131Z triton_mm_361 0.0246 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:06.5574163Z mm 0.0256 ms 92.0% 2025-09-07T10:14:06.5574866Z triton_mm_354 0.0276 ms 85.2% 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 2025-09-07T10:14:06.5576042Z triton_mm_355 0.0276 ms 85.2% 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 2025-09-07T10:14:06.5577217Z triton_mm_357 0.0276 ms 85.2% 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 2025-09-07T10:14:06.5578393Z triton_mm_358 0.0276 ms 85.2% 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 2025-09-07T10:14:06.5579575Z triton_mm_360 0.0297 ms 79.3% 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 2025-09-07T10:14:06.5580752Z triton_mm_352 0.0307 ms 76.7% 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 2025-09-07T10:14:06.5581748Z SingleProcess AUTOTUNE benchmarking takes 0.2894 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:14:06.8774826Z Autotune Choices Stats: 2025-09-07T10:14:06.8776008Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_564", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.03174399957060814, "best_triton_pos": 0} 2025-09-07T10:14:06.8794939Z AUTOTUNE mm(6272x1152, 1152x256) 2025-09-07T10:14:06.8795245Z strides: [1152, 1], [1, 1152] 2025-09-07T10:14:06.8795546Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:06.8796589Z triton_mm_564 0.0317 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:06.8797792Z triton_mm_570 0.0328 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:06.8798537Z mm 0.0338 ms 93.9% 2025-09-07T10:14:06.8799237Z triton_mm_569 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 2025-09-07T10:14:06.8800408Z triton_mm_563 0.0379 ms 83.8% 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 2025-09-07T10:14:06.8801577Z triton_mm_566 0.0389 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:06.8802758Z triton_mm_562 0.0399 ms 79.5% 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 2025-09-07T10:14:06.8803928Z triton_mm_565 0.0399 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:06.8805101Z triton_mm_568 0.0399 ms 79.5% 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 2025-09-07T10:14:06.8806281Z triton_mm_561 0.0420 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 2025-09-07T10:14:06.8807282Z SingleProcess AUTOTUNE benchmarking takes 0.3077 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:14:07.1243430Z Autotune Choices Stats: 2025-09-07T10:14:07.1244585Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_581", "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} 2025-09-07T10:14:07.1264317Z AUTOTUNE mm(1568x256, 256x512) 2025-09-07T10:14:07.1264722Z strides: [256, 1], [1, 256] 2025-09-07T10:14:07.1265079Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:07.1265841Z triton_mm_581 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 2025-09-07T10:14:07.1267045Z triton_mm_582 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 2025-09-07T10:14:07.1267809Z mm 0.0123 ms 91.7% 2025-09-07T10:14:07.1268517Z triton_mm_578 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 2025-09-07T10:14:07.1269687Z triton_mm_583 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 2025-09-07T10:14:07.1270856Z triton_mm_584 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 2025-09-07T10:14:07.1272010Z triton_mm_580 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=3, num_warps=4 2025-09-07T10:14:07.1273185Z triton_mm_586 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 2025-09-07T10:14:07.1274651Z triton_mm_587 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 2025-09-07T10:14:07.1275840Z triton_mm_588 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=5, num_warps=8 2025-09-07T10:14:07.1276862Z SingleProcess AUTOTUNE benchmarking takes 0.2463 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:07.3811731Z Autotune Choices Stats: 2025-09-07T10:14:07.3813120Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_600", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:14:07.3833124Z AUTOTUNE mm(6272x256, 256x256) 2025-09-07T10:14:07.3833460Z strides: [256, 1], [1, 256] 2025-09-07T10:14:07.3833784Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:07.3834560Z triton_mm_600 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:07.3835761Z triton_mm_601 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:07.3836510Z mm 0.0154 ms 93.3% 2025-09-07T10:14:07.3837184Z triton_mm_598 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:07.3838365Z triton_mm_599 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:07.3839853Z triton_mm_602 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:07.3841037Z triton_mm_604 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:07.3842220Z triton_mm_605 0.0154 ms 93.3% 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 2025-09-07T10:14:07.3843405Z triton_mm_606 0.0154 ms 93.3% 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 2025-09-07T10:14:07.3844582Z triton_mm_595 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:14:07.3845591Z SingleProcess AUTOTUNE benchmarking takes 0.2562 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:07.5771948Z Autotune Choices Stats: 2025-09-07T10:14:07.5773759Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.020479999482631683, "best_triton_pos": 1, "best_triton_time": 0.06758400052785873, "best_triton_kernel": "triton_convolution2d_611", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:14:07.5793134Z AUTOTUNE convolution(8x256x28x28, 256x256x3x3) 2025-09-07T10:14:07.5793557Z strides: [200704, 1, 7168, 256], [2304, 1, 768, 256] 2025-09-07T10:14:07.5793923Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:07.5794228Z convolution 0.0205 ms 100.0% 2025-09-07T10:14:07.5795320Z triton_convolution2d_611 0.0676 ms 30.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:07.5796815Z triton_convolution2d_610 0.1024 ms 20.0% 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 2025-09-07T10:14:07.5798303Z triton_convolution2d_612 0.1075 ms 19.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:07.5799785Z triton_convolution2d_613 0.1075 ms 19.0% 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 2025-09-07T10:14:07.5801270Z triton_convolution2d_608 0.1372 ms 14.9% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:07.5802743Z triton_convolution2d_607 0.1382 ms 14.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:07.5804224Z triton_convolution2d_609 0.2468 ms 8.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:14:07.5805383Z SingleProcess AUTOTUNE benchmarking takes 0.1955 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:07.8310332Z Autotune Choices Stats: 2025-09-07T10:14:07.8311503Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_639", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:14:07.8331279Z AUTOTUNE mm(1568x512, 512x256) 2025-09-07T10:14:07.8331578Z strides: [512, 1], [1, 512] 2025-09-07T10:14:07.8331901Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:07.8332667Z triton_mm_639 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:07.8333976Z triton_mm_640 0.0123 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 2025-09-07T10:14:07.8334728Z mm 0.0133 ms 92.3% 2025-09-07T10:14:07.8335404Z triton_mm_643 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 2025-09-07T10:14:07.8336600Z triton_mm_633 0.0143 ms 85.7% 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 2025-09-07T10:14:07.8337766Z triton_mm_634 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 2025-09-07T10:14:07.8338929Z triton_mm_635 0.0143 ms 85.7% 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 2025-09-07T10:14:07.8340097Z triton_mm_642 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:07.8341264Z triton_mm_645 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:07.8342582Z triton_mm_636 0.0154 ms 80.0% 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 2025-09-07T10:14:07.8343599Z SingleProcess AUTOTUNE benchmarking takes 0.2509 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:14:08.0228651Z Autotune Choices Stats: 2025-09-07T10:14:08.0230286Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.021503999829292297, "best_triton_pos": 1, "best_triton_time": 0.06758400052785873, "best_triton_kernel": "triton_convolution2d_654", "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"} 2025-09-07T10:14:08.0250089Z AUTOTUNE convolution(8x256x14x14, 256x256x3x3) 2025-09-07T10:14:08.0250520Z strides: [50176, 1, 3584, 256], [2304, 1, 768, 256] 2025-09-07T10:14:08.0250885Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:08.0251210Z convolution 0.0215 ms 100.0% 2025-09-07T10:14:08.0252074Z triton_convolution2d_654 0.0676 ms 31.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:08.0253755Z triton_convolution2d_653 0.0993 ms 21.6% 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 2025-09-07T10:14:08.0255241Z triton_convolution2d_655 0.1065 ms 20.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:08.0256715Z triton_convolution2d_656 0.1075 ms 20.0% 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 2025-09-07T10:14:08.0258399Z triton_convolution2d_651 0.1270 ms 16.9% 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 2025-09-07T10:14:08.0259872Z triton_convolution2d_650 0.1341 ms 16.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:08.0261342Z triton_convolution2d_652 0.2304 ms 9.3% 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 2025-09-07T10:14:08.0262511Z SingleProcess AUTOTUNE benchmarking takes 0.1913 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:08.3052261Z Autotune Choices Stats: 2025-09-07T10:14:08.3053990Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01740800030529499, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "best_triton_kernel": "triton_mm_686", "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"} 2025-09-07T10:14:08.3076346Z AUTOTUNE mm(1568x1024, 1024x512) 2025-09-07T10:14:08.3076657Z strides: [1024, 1], [1, 1024] 2025-09-07T10:14:08.3076960Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:08.3077277Z mm 0.0174 ms 100.0% 2025-09-07T10:14:08.3077979Z triton_mm_686 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 2025-09-07T10:14:08.3079382Z triton_mm_682 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 2025-09-07T10:14:08.3080570Z triton_mm_685 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 2025-09-07T10:14:08.3081730Z triton_mm_688 0.0215 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:08.3082903Z triton_mm_683 0.0225 ms 77.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:08.3084085Z triton_mm_692 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 2025-09-07T10:14:08.3085270Z triton_mm_687 0.0256 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:08.3086444Z triton_mm_691 0.0256 ms 68.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:08.3087622Z triton_mm_684 0.0266 ms 65.4% 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 2025-09-07T10:14:08.3088644Z SingleProcess AUTOTUNE benchmarking takes 0.2796 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:14:08.6204304Z Autotune Choices Stats: 2025-09-07T10:14:08.6205736Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "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"} 2025-09-07T10:14:08.6229074Z AUTOTUNE mm(1568x1536, 1536x512) 2025-09-07T10:14:08.6229405Z strides: [1536, 1], [1, 1536] 2025-09-07T10:14:08.6229713Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:08.6230010Z mm 0.0225 ms 100.0% 2025-09-07T10:14:08.6230710Z triton_mm_790 0.0256 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:08.6231888Z triton_mm_786 0.0266 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:08.6233065Z triton_mm_787 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:08.6234247Z triton_mm_789 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:08.6235422Z triton_mm_792 0.0276 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:08.6236595Z triton_mm_795 0.0338 ms 66.7% 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 2025-09-07T10:14:08.6237755Z triton_mm_791 0.0348 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:08.6238923Z triton_mm_788 0.0358 ms 62.9% 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 2025-09-07T10:14:08.6240242Z triton_mm_796 0.0369 ms 61.1% 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 2025-09-07T10:14:08.6241265Z SingleProcess AUTOTUNE benchmarking takes 0.3054 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:08.9583950Z Autotune Choices Stats: 2025-09-07T10:14:08.9585446Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.026623999699950218, "best_triton_pos": 1, "best_triton_time": 0.030719999223947525, "best_triton_kernel": "triton_mm_998", "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"} 2025-09-07T10:14:08.9607712Z AUTOTUNE mm(1568x2048, 2048x512) 2025-09-07T10:14:08.9608041Z strides: [2048, 1], [1, 2048] 2025-09-07T10:14:08.9608362Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:08.9608668Z mm 0.0266 ms 100.0% 2025-09-07T10:14:08.9609388Z triton_mm_998 0.0307 ms 86.7% 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 2025-09-07T10:14:08.9610552Z triton_mm_994 0.0328 ms 81.2% 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 2025-09-07T10:14:08.9611724Z triton_mm_995 0.0328 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:08.9613115Z triton_mm_997 0.0338 ms 78.8% 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 2025-09-07T10:14:08.9614312Z triton_mm_1000 0.0348 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:08.9615741Z triton_mm_1003 0.0420 ms 63.4% 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 2025-09-07T10:14:08.9616920Z triton_mm_999 0.0440 ms 60.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:08.9618091Z triton_mm_996 0.0451 ms 59.1% 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 2025-09-07T10:14:08.9619259Z triton_mm_1004 0.0451 ms 59.1% 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 2025-09-07T10:14:08.9620286Z SingleProcess AUTOTUNE benchmarking takes 0.3184 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:09.3453924Z Autotune Choices Stats: 2025-09-07T10:14:09.3455375Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.03686400130391121, "best_triton_pos": 1, "best_triton_time": 0.04095999896526337, "best_triton_kernel": "triton_mm_1414", "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"} 2025-09-07T10:14:09.3478016Z AUTOTUNE mm(1568x2816, 2816x512) 2025-09-07T10:14:09.3478340Z strides: [2816, 1], [1, 2816] 2025-09-07T10:14:09.3478657Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:09.3478967Z mm 0.0369 ms 100.0% 2025-09-07T10:14:09.3479668Z triton_mm_1414 0.0410 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 2025-09-07T10:14:09.3481067Z triton_mm_1411 0.0430 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:09.3482248Z triton_mm_1410 0.0451 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:09.3483422Z triton_mm_1413 0.0461 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 2025-09-07T10:14:09.3484589Z triton_mm_1416 0.0461 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 2025-09-07T10:14:09.3485771Z triton_mm_1419 0.0543 ms 67.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:09.3486966Z triton_mm_1415 0.0594 ms 62.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:09.3488147Z triton_mm_1420 0.0594 ms 62.1% 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 2025-09-07T10:14:09.3489326Z triton_mm_1407 0.0604 ms 61.0% 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 2025-09-07T10:14:09.3490347Z SingleProcess AUTOTUNE benchmarking takes 0.3471 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:09.6156164Z Autotune Choices Stats: 2025-09-07T10:14:09.6157664Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.013311999849975109, "best_triton_kernel": "triton_mm_1431", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8"} 2025-09-07T10:14:09.6183019Z AUTOTUNE mm(392x512, 512x1024) 2025-09-07T10:14:09.6183426Z strides: [512, 1], [1, 512] 2025-09-07T10:14:09.6183714Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:09.6184029Z mm 0.0133 ms 100.0% 2025-09-07T10:14:09.6184744Z triton_mm_1431 0.0133 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 2025-09-07T10:14:09.6186023Z triton_mm_1432 0.0133 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 2025-09-07T10:14:09.6187208Z triton_mm_1423 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 2025-09-07T10:14:09.6188399Z triton_mm_1428 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:09.6189585Z triton_mm_1434 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:09.6190748Z triton_mm_1422 0.0154 ms 86.7% 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 2025-09-07T10:14:09.6191924Z triton_mm_1429 0.0154 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 2025-09-07T10:14:09.6193103Z triton_mm_1430 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:09.6194540Z triton_mm_1433 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:09.6195570Z SingleProcess AUTOTUNE benchmarking takes 0.2680 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:09.8804710Z Autotune Choices Stats: 2025-09-07T10:14:09.8805913Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1450", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:14:09.8831286Z AUTOTUNE mm(1568x512, 512x512) 2025-09-07T10:14:09.8831603Z strides: [512, 1], [1, 512] 2025-09-07T10:14:09.8831905Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:09.8832718Z triton_mm_1450 0.0133 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 2025-09-07T10:14:09.8833479Z mm 0.0143 ms 92.9% 2025-09-07T10:14:09.8834167Z triton_mm_1446 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:09.8835347Z triton_mm_1449 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:09.8836522Z triton_mm_1452 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:09.8837705Z triton_mm_1448 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:09.8839201Z triton_mm_1451 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:09.8840373Z triton_mm_1455 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:09.8841571Z triton_mm_1456 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:09.8842760Z triton_mm_1447 0.0174 ms 76.5% 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 2025-09-07T10:14:09.8843787Z SingleProcess AUTOTUNE benchmarking takes 0.2622 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:10.1420098Z Autotune Choices Stats: 2025-09-07T10:14:10.1421780Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.030719999223947525, "best_triton_pos": 1, "best_triton_time": 0.12902399897575378, "best_triton_kernel": "triton_convolution2d_1461", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:14:10.1448221Z AUTOTUNE convolution(8x512x14x14, 512x512x3x3) 2025-09-07T10:14:10.1448631Z strides: [100352, 1, 7168, 512], [4608, 1, 1536, 512] 2025-09-07T10:14:10.1449005Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:10.1449328Z convolution 0.0307 ms 100.0% 2025-09-07T10:14:10.1450236Z triton_convolution2d_1461 0.1290 ms 23.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:10.1452094Z triton_convolution2d_1460 0.1905 ms 16.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:10.1453940Z triton_convolution2d_1463 0.1997 ms 15.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:10.1455424Z triton_convolution2d_1462 0.2058 ms 14.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:10.1456929Z triton_convolution2d_1458 0.2652 ms 11.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:10.1458442Z triton_convolution2d_1457 0.2734 ms 11.2% 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 2025-09-07T10:14:10.1459938Z triton_convolution2d_1459 0.3420 ms 9.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:14:10.1461115Z SingleProcess AUTOTUNE benchmarking takes 0.2610 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:10.4172509Z Autotune Choices Stats: 2025-09-07T10:14:10.4174280Z {"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_1490", "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"} 2025-09-07T10:14:10.4199454Z AUTOTUNE mm(392x1024, 1024x512) 2025-09-07T10:14:10.4199780Z strides: [1024, 1], [1, 1024] 2025-09-07T10:14:10.4200086Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:10.4200381Z mm 0.0133 ms 100.0% 2025-09-07T10:14:10.4201087Z triton_mm_1490 0.0143 ms 92.9% 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 2025-09-07T10:14:10.4202273Z triton_mm_1484 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 2025-09-07T10:14:10.4203448Z triton_mm_1483 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 2025-09-07T10:14:10.4204646Z triton_mm_1489 0.0164 ms 81.2% 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 2025-09-07T10:14:10.4205820Z triton_mm_1486 0.0174 ms 76.5% 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 2025-09-07T10:14:10.4206993Z triton_mm_1493 0.0184 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:10.4208157Z triton_mm_1485 0.0205 ms 65.0% 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 2025-09-07T10:14:10.4209330Z triton_mm_1492 0.0205 ms 65.0% 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 2025-09-07T10:14:10.4210682Z triton_mm_1495 0.0205 ms 65.0% 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 2025-09-07T10:14:10.4211712Z SingleProcess AUTOTUNE benchmarking takes 0.2697 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:10.6796576Z Autotune Choices Stats: 2025-09-07T10:14:10.6798190Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.030719999223947525, "best_triton_pos": 1, "best_triton_time": 0.130048006772995, "best_triton_kernel": "triton_convolution2d_1504", "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"} 2025-09-07T10:14:10.6824598Z AUTOTUNE convolution(8x512x7x7, 512x512x3x3) 2025-09-07T10:14:10.6825066Z strides: [25088, 1, 3584, 512], [4608, 1, 1536, 512] 2025-09-07T10:14:10.6825446Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:10.6825775Z convolution 0.0307 ms 100.0% 2025-09-07T10:14:10.6826659Z triton_convolution2d_1504 0.1300 ms 23.6% 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 2025-09-07T10:14:10.6828155Z triton_convolution2d_1503 0.1925 ms 16.0% 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 2025-09-07T10:14:10.6829644Z triton_convolution2d_1505 0.2048 ms 15.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:10.6831140Z triton_convolution2d_1506 0.2099 ms 14.6% 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 2025-09-07T10:14:10.6832828Z triton_convolution2d_1501 0.2519 ms 12.2% 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 2025-09-07T10:14:10.6834304Z triton_convolution2d_1502 0.2693 ms 11.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:14:10.6835790Z triton_convolution2d_1500 0.2703 ms 11.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:10.6836947Z SingleProcess AUTOTUNE benchmarking takes 0.2600 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:11.0156688Z Autotune Choices Stats: 2025-09-07T10:14:11.0158224Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.035840000957250595, "best_triton_kernel": "triton_mm_1533", "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"} 2025-09-07T10:14:11.0185683Z AUTOTUNE mm(392x2560, 2560x1024) 2025-09-07T10:14:11.0186016Z strides: [2560, 1], [1, 2560] 2025-09-07T10:14:11.0186317Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:11.0186611Z mm 0.0256 ms 100.0% 2025-09-07T10:14:11.0187315Z triton_mm_1533 0.0358 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 2025-09-07T10:14:11.0188521Z triton_mm_1536 0.0358 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:11.0190026Z triton_mm_1532 0.0389 ms 65.8% 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 2025-09-07T10:14:11.0191206Z triton_mm_1527 0.0399 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:11.0192389Z triton_mm_1529 0.0399 ms 64.1% 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 2025-09-07T10:14:11.0193561Z triton_mm_1535 0.0399 ms 64.1% 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 2025-09-07T10:14:11.0194750Z triton_mm_1538 0.0399 ms 64.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:11.0195933Z triton_mm_1526 0.0410 ms 62.5% 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 2025-09-07T10:14:11.0197118Z triton_mm_1541 0.0502 ms 51.0% 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 2025-09-07T10:14:11.0198147Z SingleProcess AUTOTUNE benchmarking takes 0.3307 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:11.3016005Z Autotune Choices Stats: 2025-09-07T10:14:11.3017213Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1547", "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} 2025-09-07T10:14:11.3046049Z AUTOTUNE addmm(8x1000, 8x1024, 1024x1000) 2025-09-07T10:14:11.3046405Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:14:11.3046771Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:14:11.3047592Z triton_mm_1547 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 2025-09-07T10:14:11.3048817Z triton_mm_1551 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 2025-09-07T10:14:11.3050196Z triton_mm_1555 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 2025-09-07T10:14:11.3051398Z triton_mm_1559 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 2025-09-07T10:14:11.3052153Z bias_addmm 0.0143 ms 78.6% 2025-09-07T10:14:11.3053160Z triton_mm_1545 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 2025-09-07T10:14:11.3054352Z triton_mm_1546 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 2025-09-07T10:14:11.3055531Z triton_mm_1550 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 2025-09-07T10:14:11.3056707Z triton_mm_1544 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 2025-09-07T10:14:11.3058119Z triton_mm_1554 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 2025-09-07T10:14:11.3059152Z SingleProcess AUTOTUNE benchmarking takes 0.2833 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:14:54.7870992Z W0907 10:14:54.786000 36498 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:15:54.9037093Z pass 2025-09-07T10:16:03.0544347Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:16:03.0545831Z import pynvml # type: ignore[import] 2025-09-07T10:16:06.4012763Z 2025-09-07T10:16:08.5469550Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:16:08.5469972Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:16:08.5470327Z cuda train dm_nfnet_f0 2025-09-07T10:16:34.9156566Z Autotune Choices Stats: 2025-09-07T10:16:34.9157945Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_17", "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": 0.050175998359918594, "best_triton_pos": 0} 2025-09-07T10:16:34.9183607Z AUTOTUNE convolution(8x32x96x96, 64x32x3x3) 2025-09-07T10:16:34.9184034Z strides: [294912, 9216, 96, 1], [288, 9, 3, 1] 2025-09-07T10:16:34.9184389Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:34.9185393Z triton_convolution2d_17 0.0502 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:34.9187259Z triton_convolution2d_12 0.0512 ms 98.0% 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 2025-09-07T10:16:34.9188718Z triton_convolution2d_15 0.0522 ms 96.1% 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 2025-09-07T10:16:34.9190169Z triton_convolution2d_11 0.0532 ms 94.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:34.9191633Z triton_convolution2d_14 0.0532 ms 94.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:34.9192527Z convolution 0.0573 ms 87.5% 2025-09-07T10:16:34.9193403Z triton_convolution2d_16 0.0594 ms 84.5% 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=8 2025-09-07T10:16:34.9194871Z triton_convolution2d_13 0.1311 ms 38.3% 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 2025-09-07T10:16:34.9196037Z SingleProcess AUTOTUNE benchmarking takes 0.1529 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:16:35.4032430Z Autotune Choices Stats: 2025-09-07T10:16:35.4033758Z {"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": 0.023552000522613525, "best_triton_pos": 0} 2025-09-07T10:16:35.4060696Z AUTOTUNE convolution(8x128x48x48, 256x128x1x1) 2025-09-07T10:16:35.4061084Z strides: [294912, 2304, 48, 1], [128, 1, 1, 1] 2025-09-07T10:16:35.4061426Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:35.4062358Z triton_convolution2d_28 0.0236 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:35.4063823Z triton_convolution2d_29 0.0236 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:35.4065357Z triton_convolution2d_31 0.0246 ms 95.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:35.4066833Z triton_convolution2d_30 0.0256 ms 92.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:35.4068303Z triton_convolution2d_26 0.0276 ms 85.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:35.4069760Z triton_convolution2d_25 0.0338 ms 69.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:35.4071230Z triton_convolution2d_27 0.0369 ms 63.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:35.4072287Z convolution 0.0399 ms 59.0% 2025-09-07T10:16:35.4072579Z conv1x1_via_mm 0.1167 ms 20.2% 2025-09-07T10:16:35.4073144Z SingleProcess AUTOTUNE benchmarking takes 0.1579 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:35.9940624Z Autotune Choices Stats: 2025-09-07T10:16:35.9941973Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_81", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.03379200026392937, "best_triton_pos": 0} 2025-09-07T10:16:35.9969368Z AUTOTUNE convolution(8x256x48x48, 256x256x1x1) 2025-09-07T10:16:35.9969775Z strides: [589824, 2304, 48, 1], [256, 1, 1, 1] 2025-09-07T10:16:35.9970122Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:35.9971083Z triton_convolution2d_81 0.0338 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:35.9972584Z triton_convolution2d_82 0.0348 ms 97.1% 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 2025-09-07T10:16:35.9974337Z triton_convolution2d_84 0.0369 ms 91.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:35.9975800Z triton_convolution2d_79 0.0420 ms 80.5% 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 2025-09-07T10:16:35.9977265Z triton_convolution2d_83 0.0451 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:35.9979042Z triton_convolution2d_78 0.0481 ms 70.2% 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 2025-09-07T10:16:35.9979938Z convolution 0.0614 ms 55.0% 2025-09-07T10:16:35.9980813Z triton_convolution2d_80 0.0645 ms 52.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:35.9981716Z conv1x1_via_mm 0.1485 ms 22.8% 2025-09-07T10:16:35.9982285Z SingleProcess AUTOTUNE benchmarking takes 0.1702 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:16:36.4576138Z Autotune Choices Stats: 2025-09-07T10:16:36.4577487Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_140", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.03379200026392937, "best_triton_pos": 0} 2025-09-07T10:16:36.4605154Z AUTOTUNE convolution(8x512x24x24, 768x512x1x1) 2025-09-07T10:16:36.4605564Z strides: [294912, 576, 24, 1], [512, 1, 1, 1] 2025-09-07T10:16:36.4605911Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:36.4606824Z triton_convolution2d_140 0.0338 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:36.4608315Z triton_convolution2d_143 0.0358 ms 94.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:36.4609807Z triton_convolution2d_138 0.0420 ms 80.5% 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 2025-09-07T10:16:36.4611598Z triton_convolution2d_141 0.0430 ms 78.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:36.4613343Z triton_convolution2d_137 0.0440 ms 76.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:36.4614254Z convolution 0.0471 ms 71.7% 2025-09-07T10:16:36.4615127Z triton_convolution2d_142 0.0512 ms 66.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:36.4616609Z triton_convolution2d_139 0.0973 ms 34.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:36.4617511Z conv1x1_via_mm 0.1352 ms 25.0% 2025-09-07T10:16:36.4618078Z SingleProcess AUTOTUNE benchmarking takes 0.1753 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:36.8680997Z Autotune Choices Stats: 2025-09-07T10:16:36.8682349Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_6", "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=4", "best_time": 0.021503999829292297, "best_triton_pos": 0} 2025-09-07T10:16:36.8709919Z AUTOTUNE convolution(8x16x96x96, 32x16x3x3) 2025-09-07T10:16:36.8710303Z strides: [147456, 9216, 96, 1], [144, 9, 3, 1] 2025-09-07T10:16:36.8710689Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:36.8715326Z triton_convolution2d_6 0.0215 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=4 2025-09-07T10:16:36.8716957Z triton_convolution2d_10 0.0225 ms 95.5% 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 2025-09-07T10:16:36.8718416Z triton_convolution2d_5 0.0236 ms 91.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:36.8719879Z triton_convolution2d_8 0.0236 ms 91.3% 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 2025-09-07T10:16:36.8721347Z triton_convolution2d_9 0.0256 ms 84.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:36.8722234Z convolution 0.0399 ms 53.8% 2025-09-07T10:16:36.8723099Z triton_convolution2d_7 0.0492 ms 43.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:36.8724254Z SingleProcess AUTOTUNE benchmarking takes 0.1105 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:16:37.4017704Z Autotune Choices Stats: 2025-09-07T10:16:37.4019430Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.062463998794555664, "best_triton_pos": 1, "best_triton_time": 0.06451199948787689, "best_triton_kernel": "triton_convolution2d_18", "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"} 2025-09-07T10:16:37.4046792Z AUTOTUNE convolution(8x64x97x97, 128x64x3x3) 2025-09-07T10:16:37.4047223Z strides: [602176, 9409, 97, 1], [576, 9, 3, 1] 2025-09-07T10:16:37.4047571Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:37.4047892Z convolution 0.0625 ms 100.0% 2025-09-07T10:16:37.4048776Z triton_convolution2d_18 0.0645 ms 96.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:37.4050258Z triton_convolution2d_19 0.0645 ms 96.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:37.4051756Z triton_convolution2d_24 0.0778 ms 80.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:37.4053501Z triton_convolution2d_21 0.0922 ms 67.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:37.4054973Z triton_convolution2d_23 0.0963 ms 64.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:37.4056427Z triton_convolution2d_22 0.1034 ms 60.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:37.4058177Z triton_convolution2d_20 0.2918 ms 21.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:37.4059345Z SingleProcess AUTOTUNE benchmarking takes 0.1854 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:37.8949713Z Autotune Choices Stats: 2025-09-07T10:16:37.8951041Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_36", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:16:37.8978163Z AUTOTUNE convolution(8x128x48x48, 128x128x1x1) 2025-09-07T10:16:37.8978548Z strides: [294912, 2304, 48, 1], [128, 1, 1, 1] 2025-09-07T10:16:37.8978895Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:37.8979832Z 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 2025-09-07T10:16:37.8981321Z triton_convolution2d_37 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:37.8982794Z triton_convolution2d_35 0.0174 ms 94.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:37.8984264Z triton_convolution2d_38 0.0184 ms 88.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:37.8985800Z triton_convolution2d_32 0.0195 ms 84.2% 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 2025-09-07T10:16:37.8987579Z triton_convolution2d_33 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:37.8989046Z triton_convolution2d_34 0.0225 ms 72.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:37.8989958Z convolution 0.0266 ms 61.5% 2025-09-07T10:16:37.8990258Z conv1x1_via_mm 0.0809 ms 20.3% 2025-09-07T10:16:37.8990822Z SingleProcess AUTOTUNE benchmarking takes 0.1501 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:38.4630987Z Autotune Choices Stats: 2025-09-07T10:16:38.4632701Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.06451199948787689, "best_triton_pos": 1, "best_triton_time": 0.11264000087976456, "best_triton_kernel": "triton_convolution2d_39", "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=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:16:38.4661180Z AUTOTUNE convolution(8x128x48x48, 128x128x3x3) 2025-09-07T10:16:38.4661578Z strides: [294912, 2304, 48, 1], [1152, 9, 3, 1] 2025-09-07T10:16:38.4661932Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:38.4662239Z convolution 0.0645 ms 100.0% 2025-09-07T10:16:38.4663120Z triton_convolution2d_39 0.1126 ms 57.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:38.4665000Z triton_convolution2d_40 0.1157 ms 55.8% 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 2025-09-07T10:16:38.4666493Z triton_convolution2d_45 0.1362 ms 47.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:38.4667972Z triton_convolution2d_42 0.1802 ms 35.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:38.4669441Z triton_convolution2d_43 0.1833 ms 35.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:38.4670908Z triton_convolution2d_44 0.2058 ms 31.3% 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 2025-09-07T10:16:38.4672383Z triton_convolution2d_41 0.3727 ms 17.3% 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 2025-09-07T10:16:38.4673531Z SingleProcess AUTOTUNE benchmarking takes 0.2315 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:38.7464172Z Autotune Choices Stats: 2025-09-07T10:16:38.7465573Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_75", "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} 2025-09-07T10:16:38.7501744Z AUTOTUNE convolution(8x256x24x24, 512x256x1x1) 2025-09-07T10:16:38.7502490Z strides: [147456, 576, 24, 1], [256, 1, 1, 1] 2025-09-07T10:16:38.7502855Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:38.7503766Z triton_convolution2d_75 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 2025-09-07T10:16:38.7505367Z triton_convolution2d_74 0.0215 ms 90.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:38.7506848Z triton_convolution2d_77 0.0215 ms 90.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:38.7508321Z triton_convolution2d_72 0.0256 ms 76.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:38.7509794Z triton_convolution2d_71 0.0266 ms 73.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:38.7511244Z triton_convolution2d_76 0.0276 ms 70.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:38.7512133Z convolution 0.0348 ms 55.9% 2025-09-07T10:16:38.7513001Z triton_convolution2d_73 0.0369 ms 52.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:38.7513898Z conv1x1_via_mm 0.0891 ms 21.8% 2025-09-07T10:16:38.7514459Z SingleProcess AUTOTUNE benchmarking takes 0.1577 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:39.3284655Z Autotune Choices Stats: 2025-09-07T10:16:39.3286332Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_convolution2d_134", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:39.3314175Z AUTOTUNE convolution(8x512x12x12, 1536x512x1x1) 2025-09-07T10:16:39.3314600Z strides: [73728, 144, 12, 1], [512, 1, 1, 1] 2025-09-07T10:16:39.3314968Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:39.3315278Z convolution 0.0256 ms 100.0% 2025-09-07T10:16:39.3316172Z triton_convolution2d_134 0.0256 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:39.3317693Z triton_convolution2d_133 0.0307 ms 83.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:39.3319173Z triton_convolution2d_135 0.0328 ms 78.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:39.3320657Z triton_convolution2d_136 0.0348 ms 73.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:39.3322130Z triton_convolution2d_130 0.0399 ms 64.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:39.3323885Z triton_convolution2d_131 0.0399 ms 64.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:39.3324790Z conv1x1_via_mm 0.0922 ms 27.8% 2025-09-07T10:16:39.3325666Z triton_convolution2d_132 0.0922 ms 27.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:39.3326831Z SingleProcess AUTOTUNE benchmarking takes 0.1672 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:39.8338842Z Autotune Choices Stats: 2025-09-07T10:16:39.8340183Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_convolution2d_4", "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=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:16:39.8369384Z AUTOTUNE convolution(8x3x193x193, 16x3x3x3) 2025-09-07T10:16:39.8369815Z strides: [111747, 37249, 193, 1], [27, 9, 3, 1] 2025-09-07T10:16:39.8370171Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:39.8371087Z triton_convolution2d_4 0.0164 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=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:39.8372575Z triton_convolution2d_1 0.0184 ms 88.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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=2, num_warps=4 2025-09-07T10:16:39.8374410Z triton_convolution2d_0 0.0195 ms 84.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=2, num_warps=4 2025-09-07T10:16:39.8376268Z triton_convolution2d_2 0.0195 ms 84.2% 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 2025-09-07T10:16:39.8377737Z triton_convolution2d_3 0.0205 ms 80.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, 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=2, num_warps=8 2025-09-07T10:16:39.8378639Z convolution 0.0307 ms 53.3% 2025-09-07T10:16:39.8379220Z SingleProcess AUTOTUNE benchmarking takes 0.0900 seconds and 0.0003 seconds precompiling for 6 choices 2025-09-07T10:16:40.3490591Z Autotune Choices Stats: 2025-09-07T10:16:40.3491946Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_108", "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": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T10:16:40.3521914Z AUTOTUNE convolution(8x512x24x24, 256x512x1x1) 2025-09-07T10:16:40.3522331Z strides: [294912, 576, 24, 1], [512, 1, 1, 1] 2025-09-07T10:16:40.3522660Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:40.3523571Z triton_convolution2d_108 0.0246 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:40.3525077Z triton_convolution2d_107 0.0297 ms 82.8% 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 2025-09-07T10:16:40.3526568Z triton_convolution2d_109 0.0297 ms 82.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:40.3528323Z triton_convolution2d_110 0.0297 ms 82.8% 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 2025-09-07T10:16:40.3529227Z convolution 0.0348 ms 70.6% 2025-09-07T10:16:40.3530103Z triton_convolution2d_105 0.0379 ms 64.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:40.3531573Z triton_convolution2d_104 0.0420 ms 58.5% 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 2025-09-07T10:16:40.3533259Z triton_convolution2d_106 0.0522 ms 47.1% 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 2025-09-07T10:16:40.3534186Z conv1x1_via_mm 0.0799 ms 30.8% 2025-09-07T10:16:40.3534750Z SingleProcess AUTOTUNE benchmarking takes 0.1638 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:40.8923617Z Autotune Choices Stats: 2025-09-07T10:16:40.8925293Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03379200026392937, "best_triton_pos": 1, "best_triton_time": 0.05119999870657921, "best_triton_kernel": "triton_convolution2d_167", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:40.8953657Z AUTOTUNE convolution(8x1536x12x12, 768x1536x1x1) 2025-09-07T10:16:40.8954060Z strides: [221184, 144, 12, 1], [1536, 1, 1, 1] 2025-09-07T10:16:40.8954429Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:40.8955082Z convolution 0.0338 ms 100.0% 2025-09-07T10:16:40.8955967Z triton_convolution2d_167 0.0512 ms 66.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:40.8957447Z triton_convolution2d_166 0.0727 ms 46.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:40.8958928Z triton_convolution2d_169 0.0748 ms 45.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:40.8960392Z triton_convolution2d_168 0.0768 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 2025-09-07T10:16:40.8961868Z triton_convolution2d_164 0.0942 ms 35.9% 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 2025-09-07T10:16:40.8963331Z triton_convolution2d_163 0.0973 ms 34.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:40.8964216Z conv1x1_via_mm 0.1137 ms 29.7% 2025-09-07T10:16:40.8965101Z triton_convolution2d_165 0.1475 ms 22.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:40.8966272Z SingleProcess AUTOTUNE benchmarking takes 0.2011 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:41.7362838Z Autotune Choices Stats: 2025-09-07T10:16:41.7364553Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03686400130391121, "best_triton_pos": 1, "best_triton_time": 0.05427199974656105, "best_triton_kernel": "triton_convolution2d_297", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:41.7393261Z AUTOTUNE convolution(8x1536x6x6, 1536x1536x1x1) 2025-09-07T10:16:41.7393678Z strides: [55296, 36, 6, 1], [1536, 1, 1, 1] 2025-09-07T10:16:41.7394015Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:41.7394322Z convolution 0.0369 ms 100.0% 2025-09-07T10:16:41.7395204Z triton_convolution2d_297 0.0543 ms 67.9% 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 2025-09-07T10:16:41.7396701Z triton_convolution2d_298 0.0676 ms 54.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:41.7398177Z triton_convolution2d_296 0.0768 ms 48.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:41.7399651Z triton_convolution2d_299 0.0799 ms 46.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:41.7400539Z conv1x1_via_mm 0.0942 ms 39.1% 2025-09-07T10:16:41.7401405Z triton_convolution2d_293 0.1014 ms 36.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:41.7409442Z triton_convolution2d_294 0.1055 ms 35.0% 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 2025-09-07T10:16:41.7411119Z triton_convolution2d_295 0.1239 ms 29.8% 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 2025-09-07T10:16:41.7412280Z SingleProcess AUTOTUNE benchmarking takes 0.1983 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:42.3087385Z Autotune Choices Stats: 2025-09-07T10:16:42.3089281Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.050175998359918594, "best_triton_kernel": "triton_convolution2d_330", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:42.3117909Z AUTOTUNE convolution(8x1536x6x6, 768x1536x1x1) 2025-09-07T10:16:42.3118311Z strides: [55296, 36, 6, 1], [1536, 1, 1, 1] 2025-09-07T10:16:42.3118634Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:42.3118955Z convolution 0.0256 ms 100.0% 2025-09-07T10:16:42.3119831Z triton_convolution2d_330 0.0502 ms 51.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:42.3120727Z conv1x1_via_mm 0.0614 ms 41.7% 2025-09-07T10:16:42.3121610Z triton_convolution2d_331 0.0666 ms 38.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:42.3123400Z triton_convolution2d_329 0.0758 ms 33.8% 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 2025-09-07T10:16:42.3124863Z triton_convolution2d_332 0.0788 ms 32.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:42.3126335Z triton_convolution2d_327 0.0932 ms 27.5% 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 2025-09-07T10:16:42.3127810Z triton_convolution2d_326 0.1004 ms 25.5% 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 2025-09-07T10:16:42.3129282Z triton_convolution2d_328 0.1198 ms 21.4% 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 2025-09-07T10:16:42.3130443Z SingleProcess AUTOTUNE benchmarking takes 0.1949 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:42.7952020Z Autotune Choices Stats: 2025-09-07T10:16:42.7953689Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.013311999849975109, "best_triton_pos": 2, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_convolution2d_161", "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"} 2025-09-07T10:16:42.7982616Z AUTOTUNE convolution(8x768x1x1, 1536x768x1x1) 2025-09-07T10:16:42.7982996Z strides: [768, 1, 1, 1], [768, 1, 1, 1] 2025-09-07T10:16:42.7983372Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:42.7983958Z convolution 0.0133 ms 100.0% 2025-09-07T10:16:42.7984263Z conv1x1_via_mm 0.0164 ms 81.2% 2025-09-07T10:16:42.7985226Z triton_convolution2d_161 0.0256 ms 52.0% 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 2025-09-07T10:16:42.7986698Z triton_convolution2d_160 0.0287 ms 46.4% 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 2025-09-07T10:16:42.7988175Z triton_convolution2d_159 0.0328 ms 40.6% 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 2025-09-07T10:16:42.7989635Z triton_convolution2d_162 0.0328 ms 40.6% 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 2025-09-07T10:16:42.7991103Z triton_convolution2d_158 0.0358 ms 37.1% 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 2025-09-07T10:16:42.7992553Z triton_convolution2d_157 0.0461 ms 28.9% 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 2025-09-07T10:16:42.7993715Z SingleProcess AUTOTUNE benchmarking takes 0.1441 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:43.3089038Z Autotune Choices Stats: 2025-09-07T10:16:43.3090760Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.016383999958634377, "best_triton_pos": 2, "best_triton_time": 0.043007999658584595, "best_triton_kernel": "triton_convolution2d_155", "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"} 2025-09-07T10:16:43.3121157Z AUTOTUNE convolution(8x1536x1x1, 768x1536x1x1) 2025-09-07T10:16:43.3121548Z strides: [1536, 1, 1, 1], [1536, 1, 1, 1] 2025-09-07T10:16:43.3121871Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:43.3122190Z convolution 0.0164 ms 100.0% 2025-09-07T10:16:43.3122487Z conv1x1_via_mm 0.0205 ms 80.0% 2025-09-07T10:16:43.3123372Z triton_convolution2d_155 0.0430 ms 38.1% 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 2025-09-07T10:16:43.3124852Z triton_convolution2d_154 0.0492 ms 33.3% 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 2025-09-07T10:16:43.3126343Z triton_convolution2d_156 0.0573 ms 28.6% 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 2025-09-07T10:16:43.3127795Z triton_convolution2d_153 0.0635 ms 25.8% 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 2025-09-07T10:16:43.3129248Z triton_convolution2d_152 0.0686 ms 23.9% 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 2025-09-07T10:16:43.3130699Z triton_convolution2d_151 0.0819 ms 20.0% 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 2025-09-07T10:16:43.3132169Z SingleProcess AUTOTUNE benchmarking takes 0.1634 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:43.7839979Z Autotune Choices Stats: 2025-09-07T10:16:43.7841633Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 1, "best_triton_time": 0.01228800043463707, "best_triton_kernel": "triton_convolution2d_102", "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"} 2025-09-07T10:16:43.7871086Z AUTOTUNE convolution(8x256x1x1, 512x256x1x1) 2025-09-07T10:16:43.7871457Z strides: [256, 1, 1, 1], [256, 1, 1, 1] 2025-09-07T10:16:43.7871795Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:43.7872115Z convolution 0.0102 ms 100.0% 2025-09-07T10:16:43.7873017Z triton_convolution2d_102 0.0123 ms 83.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:43.7874465Z triton_convolution2d_99 0.0133 ms 76.9% 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 2025-09-07T10:16:43.7875923Z triton_convolution2d_100 0.0133 ms 76.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:16:43.7877400Z triton_convolution2d_101 0.0133 ms 76.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:43.7878304Z conv1x1_via_mm 0.0143 ms 71.4% 2025-09-07T10:16:43.7879424Z triton_convolution2d_103 0.0143 ms 71.4% 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 2025-09-07T10:16:43.7880880Z triton_convolution2d_98 0.0184 ms 55.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:43.7882041Z SingleProcess AUTOTUNE benchmarking takes 0.1335 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:44.1906127Z Autotune Choices Stats: 2025-09-07T10:16:44.1907794Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.009216000325977802, "best_triton_pos": 1, "best_triton_time": 0.009216000325977802, "best_triton_kernel": "triton_convolution2d_67", "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"} 2025-09-07T10:16:44.1937897Z AUTOTUNE convolution(8x128x1x1, 256x128x1x1) 2025-09-07T10:16:44.1938271Z strides: [128, 1, 1, 1], [128, 1, 1, 1] 2025-09-07T10:16:44.1938605Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:44.1938924Z convolution 0.0092 ms 100.0% 2025-09-07T10:16:44.1939801Z triton_convolution2d_67 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=1 2025-09-07T10:16:44.1941268Z triton_convolution2d_68 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:44.1942729Z triton_convolution2d_69 0.0092 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:44.1944482Z triton_convolution2d_66 0.0102 ms 90.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:44.1946042Z triton_convolution2d_70 0.0102 ms 90.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:44.1946936Z conv1x1_via_mm 0.0113 ms 81.8% 2025-09-07T10:16:44.1947812Z triton_convolution2d_65 0.0123 ms 75.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:44.1948957Z SingleProcess AUTOTUNE benchmarking takes 0.1316 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:44.6174096Z Autotune Choices Stats: 2025-09-07T10:16:44.6175774Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.010239999741315842, "best_triton_pos": 2, "best_triton_time": 0.01740800030529499, "best_triton_kernel": "triton_convolution2d_96", "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"} 2025-09-07T10:16:44.6206466Z AUTOTUNE convolution(8x512x1x1, 256x512x1x1) 2025-09-07T10:16:44.6206856Z strides: [512, 1, 1, 1], [512, 1, 1, 1] 2025-09-07T10:16:44.6207183Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:44.6207504Z convolution 0.0102 ms 100.0% 2025-09-07T10:16:44.6207803Z conv1x1_via_mm 0.0123 ms 83.3% 2025-09-07T10:16:44.6208681Z triton_convolution2d_96 0.0174 ms 58.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:44.6210455Z triton_convolution2d_95 0.0195 ms 52.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:44.6211915Z triton_convolution2d_94 0.0205 ms 50.0% 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 2025-09-07T10:16:44.6213678Z triton_convolution2d_93 0.0215 ms 47.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:44.6215134Z triton_convolution2d_97 0.0225 ms 45.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:44.6216615Z triton_convolution2d_92 0.0307 ms 33.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:44.6217772Z SingleProcess AUTOTUNE benchmarking takes 0.1404 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:45.0229704Z Autotune Choices Stats: 2025-09-07T10:16:45.0231376Z {"num_choices": 7, "num_triton_choices": 5, "best_kernel": "convolution", "best_time": 0.009216000325977802, "best_triton_pos": 1, "best_triton_time": 0.011264000087976456, "best_triton_kernel": "triton_convolution2d_64", "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"} 2025-09-07T10:16:45.0261420Z AUTOTUNE convolution(8x256x1x1, 128x256x1x1) 2025-09-07T10:16:45.0261839Z strides: [256, 1, 1, 1], [256, 1, 1, 1] 2025-09-07T10:16:45.0262494Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:45.0262807Z convolution 0.0092 ms 100.0% 2025-09-07T10:16:45.0263686Z triton_convolution2d_64 0.0113 ms 81.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:45.0265231Z triton_convolution2d_62 0.0123 ms 75.0% 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 2025-09-07T10:16:45.0266696Z triton_convolution2d_63 0.0123 ms 75.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:45.0267604Z conv1x1_via_mm 0.0133 ms 69.2% 2025-09-07T10:16:45.0268487Z triton_convolution2d_61 0.0133 ms 69.2% 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 2025-09-07T10:16:45.0269937Z triton_convolution2d_60 0.0154 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 2025-09-07T10:16:45.0271085Z SingleProcess AUTOTUNE benchmarking takes 0.1216 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:16:46.1754070Z Autotune Choices Stats: 2025-09-07T10:16:46.1755751Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03174399957060814, "best_triton_pos": 1, "best_triton_time": 0.03276799991726875, "best_triton_kernel": "triton_convolution2d_148", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:46.1789130Z AUTOTUNE convolution(8x768x12x12, 1536x768x1x1) 2025-09-07T10:16:46.1789563Z strides: [110592, 144, 12, 1], [768, 1, 1, 1] 2025-09-07T10:16:46.1789916Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:46.1790242Z convolution 0.0317 ms 100.0% 2025-09-07T10:16:46.1791139Z triton_convolution2d_148 0.0328 ms 96.9% 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 2025-09-07T10:16:46.1792625Z triton_convolution2d_147 0.0420 ms 75.6% 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 2025-09-07T10:16:46.1794118Z triton_convolution2d_149 0.0430 ms 73.8% 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 2025-09-07T10:16:46.1795612Z triton_convolution2d_150 0.0471 ms 67.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:46.1797087Z triton_convolution2d_144 0.0532 ms 59.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:46.1798550Z triton_convolution2d_145 0.0543 ms 58.5% 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 2025-09-07T10:16:46.1799455Z conv1x1_via_mm 0.1157 ms 27.4% 2025-09-07T10:16:46.1800707Z triton_convolution2d_146 0.1331 ms 23.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:16:46.1801890Z SingleProcess AUTOTUNE benchmarking takes 0.1809 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:46.3716019Z Autotune Choices Stats: 2025-09-07T10:16:46.3717699Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.028672000393271446, "best_triton_pos": 1, "best_triton_time": 0.030719999223947525, "best_triton_kernel": "triton_convolution2d_311", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:46.3749768Z AUTOTUNE convolution(8x768x6x6, 1536x768x1x1) 2025-09-07T10:16:46.3750185Z strides: [27648, 36, 6, 1], [768, 1, 1, 1] 2025-09-07T10:16:46.3750526Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:46.3750879Z convolution 0.0287 ms 100.0% 2025-09-07T10:16:46.3751778Z triton_convolution2d_311 0.0307 ms 93.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:46.3753265Z triton_convolution2d_312 0.0389 ms 73.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:46.3754743Z triton_convolution2d_310 0.0430 ms 66.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:46.3756204Z triton_convolution2d_313 0.0451 ms 63.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:46.3757998Z triton_convolution2d_308 0.0522 ms 54.9% 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 2025-09-07T10:16:46.3759463Z triton_convolution2d_307 0.0543 ms 52.8% 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 2025-09-07T10:16:46.3760364Z conv1x1_via_mm 0.0666 ms 43.1% 2025-09-07T10:16:46.3761240Z triton_convolution2d_309 0.0666 ms 43.1% 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 2025-09-07T10:16:46.3762404Z SingleProcess AUTOTUNE benchmarking takes 0.1727 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:16:46.5836173Z Autotune Choices Stats: 2025-09-07T10:16:46.5837808Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04198399931192398, "best_triton_pos": 1, "best_triton_time": 0.05939200147986412, "best_triton_kernel": "triton_convolution2d_382", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:46.5870243Z AUTOTUNE convolution(8x1536x6x6, 3072x1536x1x1) 2025-09-07T10:16:46.5870625Z strides: [55296, 36, 6, 1], [1536, 1, 1, 1] 2025-09-07T10:16:46.5870964Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:46.5871285Z convolution 0.0420 ms 100.0% 2025-09-07T10:16:46.5872144Z triton_convolution2d_382 0.0594 ms 70.7% 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 2025-09-07T10:16:46.5873834Z triton_convolution2d_383 0.0696 ms 60.3% 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 2025-09-07T10:16:46.5875324Z triton_convolution2d_381 0.0799 ms 52.6% 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 2025-09-07T10:16:46.5876798Z triton_convolution2d_384 0.0829 ms 50.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:46.5878273Z triton_convolution2d_379 0.0993 ms 42.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:46.5879738Z triton_convolution2d_378 0.1055 ms 39.8% 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 2025-09-07T10:16:46.5881198Z triton_convolution2d_380 0.1280 ms 32.8% 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 2025-09-07T10:16:46.5882089Z conv1x1_via_mm 0.1649 ms 25.5% 2025-09-07T10:16:46.5882635Z SingleProcess AUTOTUNE benchmarking takes 0.2002 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:16:46.9199211Z Autotune Choices Stats: 2025-09-07T10:16:46.9200404Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_389", "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": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:16:46.9234142Z AUTOTUNE addmm(8x1000, 8x3072, 3072x1000) 2025-09-07T10:16:46.9234510Z strides: [0, 1], [3072, 1], [1, 3072] 2025-09-07T10:16:46.9234867Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:16:46.9235664Z triton_mm_389 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:16:46.9236852Z triton_mm_393 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:16:46.9237599Z bias_addmm 0.0215 ms 76.2% 2025-09-07T10:16:46.9238314Z triton_mm_397 0.0225 ms 72.7% 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 2025-09-07T10:16:46.9239491Z triton_mm_401 0.0246 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:16:46.9240251Z addmm 0.0256 ms 64.0% 2025-09-07T10:16:46.9240932Z triton_mm_388 0.0276 ms 59.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:16:46.9242095Z triton_mm_387 0.0297 ms 55.2% 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 2025-09-07T10:16:46.9243265Z triton_mm_392 0.0297 ms 55.2% 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 2025-09-07T10:16:46.9244435Z triton_mm_386 0.0307 ms 53.3% 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 2025-09-07T10:16:46.9245458Z SingleProcess AUTOTUNE benchmarking takes 0.3346 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:17:05.2903865Z Autotune Choices Stats: 2025-09-07T10:17:05.2905193Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_425", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:17:05.2938192Z AUTOTUNE mm(1000x8, 8x3072) 2025-09-07T10:17:05.2938481Z strides: [1, 1000], [3072, 1] 2025-09-07T10:17:05.2938784Z dtypes: torch.float16, torch.float16 2025-09-07T10:17:05.2939549Z triton_mm_425 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:17:05.2940742Z triton_mm_420 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=2, num_warps=4 2025-09-07T10:17:05.2941938Z triton_mm_421 0.0113 ms 90.9% 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 2025-09-07T10:17:05.2943118Z triton_mm_423 0.0113 ms 90.9% 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 2025-09-07T10:17:05.2944271Z triton_mm_424 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:17:05.2945488Z triton_mm_426 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:17:05.2946662Z triton_mm_427 0.0113 ms 90.9% 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 2025-09-07T10:17:05.2948041Z triton_mm_428 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:17:05.2949222Z triton_mm_429 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:17:05.2950405Z triton_mm_430 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:17:05.2951435Z SingleProcess AUTOTUNE benchmarking takes 0.2157 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T10:17:05.9784579Z Autotune Choices Stats: 2025-09-07T10:17:05.9785884Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_414", "best_kernel_desc": "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", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:17:05.9819142Z AUTOTUNE mm(8x1000, 1000x3072) 2025-09-07T10:17:05.9819436Z strides: [1000, 1], [3072, 1] 2025-09-07T10:17:05.9819803Z dtypes: torch.float16, torch.float16 2025-09-07T10:17:05.9820578Z triton_mm_414 0.0143 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 2025-09-07T10:17:05.9821796Z triton_mm_404 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:17:05.9822969Z triton_mm_410 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:17:05.9824471Z triton_mm_418 0.0154 ms 93.3% 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=5, num_warps=8 2025-09-07T10:17:05.9825297Z mm 0.0164 ms 87.5% 2025-09-07T10:17:05.9825988Z triton_mm_406 0.0164 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 2025-09-07T10:17:05.9827162Z triton_mm_409 0.0164 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 2025-09-07T10:17:05.9828337Z triton_mm_413 0.0164 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 2025-09-07T10:17:05.9829524Z triton_mm_405 0.0174 ms 82.4% 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 2025-09-07T10:17:05.9837742Z triton_mm_416 0.0174 ms 82.4% 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 2025-09-07T10:17:05.9838797Z SingleProcess AUTOTUNE benchmarking takes 0.2497 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:17:14.2031811Z W0907 10:17:14.202000 44954 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:17:57.2423053Z pass 2025-09-07T10:18:04.4170503Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:18:04.4172340Z import pynvml # type: ignore[import] 2025-09-07T10:18:07.7036257Z 2025-09-07T10:18:09.6605197Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:18:09.6605562Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:18:09.6605886Z cuda train dpn107 2025-09-07T10:18:58.5265546Z Autotune Choices Stats: 2025-09-07T10:18:58.5267223Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.020479999482631683, "best_triton_pos": 2, "best_triton_time": 0.07168000191450119, "best_triton_kernel": "triton_convolution2d_529", "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"} 2025-09-07T10:18:58.5299767Z AUTOTUNE convolution(8x2688x1x1, 1000x2688x1x1) 2025-09-07T10:18:58.5300170Z strides: [2688, 1, 1, 1], [2688, 1, 1, 1] 2025-09-07T10:18:58.5300507Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:58.5300843Z convolution 0.0205 ms 100.0% 2025-09-07T10:18:58.5301134Z conv1x1_via_mm 0.0225 ms 90.9% 2025-09-07T10:18:58.5302042Z triton_convolution2d_529 0.0717 ms 28.6% 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 2025-09-07T10:18:58.5303514Z triton_convolution2d_528 0.0799 ms 25.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:18:58.5305043Z triton_convolution2d_530 0.0973 ms 21.1% 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 2025-09-07T10:18:58.5306515Z triton_convolution2d_527 0.1014 ms 20.2% 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 2025-09-07T10:18:58.5308329Z triton_convolution2d_526 0.1147 ms 17.9% 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 2025-09-07T10:18:58.5309787Z triton_convolution2d_525 0.1546 ms 13.2% 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 2025-09-07T10:18:58.5310959Z SingleProcess AUTOTUNE benchmarking takes 0.2042 seconds and 0.0004 seconds precompiling for 8 choices 2025-09-07T10:18:59.1646032Z Autotune Choices Stats: 2025-09-07T10:18:59.1647415Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_6", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.1669120043516159, "best_triton_pos": 0} 2025-09-07T10:18:59.1680729Z AUTOTUNE convolution(8x3x224x224, 128x3x7x7) 2025-09-07T10:18:59.1681145Z strides: [150528, 50176, 224, 1], [147, 49, 7, 1] 2025-09-07T10:18:59.1681508Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:59.1682416Z triton_convolution2d_6 0.1669 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:18:59.1683895Z triton_convolution2d_1 0.1700 ms 98.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:18:59.1685530Z triton_convolution2d_3 0.1915 ms 87.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:18:59.1687325Z triton_convolution2d_0 0.1976 ms 84.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:18:59.1688779Z triton_convolution2d_4 0.2273 ms 73.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:18:59.1690238Z triton_convolution2d_5 0.2294 ms 72.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:18:59.1691138Z convolution 0.2488 ms 67.1% 2025-09-07T10:18:59.1692008Z triton_convolution2d_2 0.4383 ms 38.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:18:59.1693421Z SingleProcess AUTOTUNE benchmarking takes 0.2712 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:18:59.3272737Z Autotune Choices Stats: 2025-09-07T10:18:59.3274049Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_13", "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": 0.03276799991726875, "best_triton_pos": 0} 2025-09-07T10:18:59.3306970Z AUTOTUNE convolution(8x128x56x56, 296x128x1x1) 2025-09-07T10:18:59.3307417Z strides: [401408, 3136, 56, 1], [128, 1, 1, 1] 2025-09-07T10:18:59.3307771Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:59.3308685Z triton_convolution2d_13 0.0328 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 2025-09-07T10:18:59.3310497Z triton_convolution2d_10 0.0338 ms 97.0% 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 2025-09-07T10:18:59.3311968Z triton_convolution2d_11 0.0338 ms 97.0% 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 2025-09-07T10:18:59.3313419Z triton_convolution2d_8 0.0379 ms 86.5% 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 2025-09-07T10:18:59.3314874Z triton_convolution2d_12 0.0410 ms 80.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:18:59.3316339Z triton_convolution2d_7 0.0471 ms 69.6% 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 2025-09-07T10:18:59.3317799Z triton_convolution2d_9 0.0481 ms 68.1% 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 2025-09-07T10:18:59.3318692Z convolution 0.0614 ms 53.3% 2025-09-07T10:18:59.3318973Z conv1x1_via_mm 0.1628 ms 20.1% 2025-09-07T10:18:59.3319530Z SingleProcess AUTOTUNE benchmarking takes 0.1621 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:18:59.4813762Z Autotune Choices Stats: 2025-09-07T10:18:59.4815104Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_17", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.025599999353289604, "best_triton_pos": 0} 2025-09-07T10:18:59.4847348Z AUTOTUNE convolution(8x128x56x56, 200x128x1x1) 2025-09-07T10:18:59.4847718Z strides: [401408, 3136, 56, 1], [128, 1, 1, 1] 2025-09-07T10:18:59.4848060Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:59.4848979Z triton_convolution2d_17 0.0256 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:18:59.4850459Z triton_convolution2d_19 0.0256 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 2025-09-07T10:18:59.4851937Z triton_convolution2d_20 0.0266 ms 96.2% 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 2025-09-07T10:18:59.4853671Z triton_convolution2d_15 0.0287 ms 89.3% 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 2025-09-07T10:18:59.4855131Z triton_convolution2d_18 0.0287 ms 89.3% 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 2025-09-07T10:18:59.4856575Z triton_convolution2d_14 0.0307 ms 83.3% 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 2025-09-07T10:18:59.4858199Z triton_convolution2d_16 0.0379 ms 67.6% 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 2025-09-07T10:18:59.4859119Z convolution 0.0471 ms 54.3% 2025-09-07T10:18:59.4859417Z conv1x1_via_mm 0.1260 ms 20.3% 2025-09-07T10:18:59.4859977Z SingleProcess AUTOTUNE benchmarking takes 0.1536 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:18:59.6645103Z Autotune Choices Stats: 2025-09-07T10:18:59.6646393Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_27", "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": 0.04505600035190582, "best_triton_pos": 0} 2025-09-07T10:18:59.6679708Z AUTOTUNE convolution(8x200x56x56, 276x200x1x1) 2025-09-07T10:18:59.6680101Z strides: [627200, 3136, 56, 1], [200, 1, 1, 1] 2025-09-07T10:18:59.6680450Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:59.6681386Z triton_convolution2d_27 0.0451 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 2025-09-07T10:18:59.6682870Z triton_convolution2d_24 0.0481 ms 93.6% 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 2025-09-07T10:18:59.6684330Z triton_convolution2d_22 0.0532 ms 84.6% 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 2025-09-07T10:18:59.6685787Z triton_convolution2d_25 0.0563 ms 80.0% 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 2025-09-07T10:18:59.6687499Z triton_convolution2d_26 0.0645 ms 69.8% 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 2025-09-07T10:18:59.6688964Z triton_convolution2d_21 0.0768 ms 58.7% 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 2025-09-07T10:18:59.6690428Z triton_convolution2d_23 0.0932 ms 48.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:18:59.6691339Z convolution 0.1106 ms 40.7% 2025-09-07T10:18:59.6691635Z conv1x1_via_mm 0.2365 ms 19.0% 2025-09-07T10:18:59.6692186Z SingleProcess AUTOTUNE benchmarking takes 0.1827 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:18:59.8461890Z Autotune Choices Stats: 2025-09-07T10:18:59.8463219Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_31", "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": 0.05119999870657921, "best_triton_pos": 0} 2025-09-07T10:18:59.8496407Z AUTOTUNE convolution(8x316x56x56, 200x316x1x1) 2025-09-07T10:18:59.8496864Z strides: [990976, 3136, 56, 1], [316, 1, 1, 1] 2025-09-07T10:18:59.8497208Z dtypes: torch.float16, torch.float16 2025-09-07T10:18:59.8498108Z triton_convolution2d_31 0.0512 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 2025-09-07T10:18:59.8499597Z triton_convolution2d_34 0.0522 ms 98.0% 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 2025-09-07T10:18:59.8501312Z triton_convolution2d_28 0.0553 ms 92.6% 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 2025-09-07T10:18:59.8502773Z triton_convolution2d_32 0.0553 ms 92.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:18:59.8504230Z triton_convolution2d_29 0.0604 ms 84.7% 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 2025-09-07T10:18:59.8505737Z triton_convolution2d_33 0.0655 ms 78.1% 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 2025-09-07T10:18:59.8506637Z convolution 0.0993 ms 51.5% 2025-09-07T10:18:59.8507512Z triton_convolution2d_30 0.1034 ms 49.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:18:59.8508398Z conv1x1_via_mm 0.2427 ms 21.1% 2025-09-07T10:18:59.8508959Z SingleProcess AUTOTUNE benchmarking takes 0.1811 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:00.0263144Z Autotune Choices Stats: 2025-09-07T10:19:00.0264462Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_45", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.05119999870657921, "best_triton_pos": 0} 2025-09-07T10:19:00.0298542Z AUTOTUNE convolution(8x336x56x56, 200x336x1x1) 2025-09-07T10:19:00.0298934Z strides: [1053696, 3136, 56, 1], [336, 1, 1, 1] 2025-09-07T10:19:00.0299282Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:00.0300193Z triton_convolution2d_45 0.0512 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 2025-09-07T10:19:00.0301667Z triton_convolution2d_47 0.0522 ms 98.0% 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 2025-09-07T10:19:00.0303137Z triton_convolution2d_48 0.0532 ms 96.2% 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 2025-09-07T10:19:00.0304603Z triton_convolution2d_43 0.0614 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 2025-09-07T10:19:00.0306126Z triton_convolution2d_46 0.0614 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 2025-09-07T10:19:00.0307578Z triton_convolution2d_42 0.0686 ms 74.6% 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 2025-09-07T10:19:00.0308449Z convolution 0.0850 ms 60.2% 2025-09-07T10:19:00.0309314Z triton_convolution2d_44 0.0952 ms 53.8% 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 2025-09-07T10:19:00.0310213Z conv1x1_via_mm 0.2171 ms 23.6% 2025-09-07T10:19:00.0310924Z SingleProcess AUTOTUNE benchmarking takes 0.1786 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:00.2165539Z Autotune Choices Stats: 2025-09-07T10:19:00.2166832Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_59", "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": 0.058368001133203506, "best_triton_pos": 0} 2025-09-07T10:19:00.2201129Z AUTOTUNE convolution(8x356x56x56, 200x356x1x1) 2025-09-07T10:19:00.2201515Z strides: [1116416, 3136, 56, 1], [356, 1, 1, 1] 2025-09-07T10:19:00.2201866Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:00.2202781Z triton_convolution2d_59 0.0584 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 2025-09-07T10:19:00.2204288Z triton_convolution2d_62 0.0594 ms 98.3% 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 2025-09-07T10:19:00.2205748Z triton_convolution2d_56 0.0614 ms 95.0% 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 2025-09-07T10:19:00.2207202Z triton_convolution2d_60 0.0625 ms 93.4% 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 2025-09-07T10:19:00.2208654Z triton_convolution2d_57 0.0666 ms 87.7% 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 2025-09-07T10:19:00.2210356Z triton_convolution2d_61 0.0748 ms 78.1% 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 2025-09-07T10:19:00.2211805Z triton_convolution2d_58 0.1178 ms 49.6% 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 2025-09-07T10:19:00.2212706Z convolution 0.1198 ms 48.7% 2025-09-07T10:19:00.2213237Z conv1x1_via_mm 0.2673 ms 21.8% 2025-09-07T10:19:00.2213801Z SingleProcess AUTOTUNE benchmarking takes 0.1886 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:00.3858360Z Autotune Choices Stats: 2025-09-07T10:19:00.3859648Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_73", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.05734400078654289, "best_triton_pos": 0} 2025-09-07T10:19:00.3895763Z AUTOTUNE convolution(8x376x56x56, 640x376x1x1) 2025-09-07T10:19:00.3896171Z strides: [1179136, 3136, 56, 1], [376, 1, 1, 1] 2025-09-07T10:19:00.3896522Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:00.3897434Z triton_convolution2d_73 0.0573 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:00.3898910Z triton_convolution2d_74 0.0614 ms 93.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:00.3900354Z triton_convolution2d_75 0.0614 ms 93.3% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:00.3902034Z triton_convolution2d_70 0.0737 ms 77.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:00.3902936Z convolution 0.0758 ms 75.7% 2025-09-07T10:19:00.3903801Z triton_convolution2d_76 0.0768 ms 74.7% 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 2025-09-07T10:19:00.3905316Z triton_convolution2d_71 0.0809 ms 70.9% 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 2025-09-07T10:19:00.3906782Z triton_convolution2d_72 0.2488 ms 23.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:00.3907953Z SingleProcess AUTOTUNE benchmarking takes 0.1677 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:19:00.6193090Z Autotune Choices Stats: 2025-09-07T10:19:00.6194417Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_83", "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": 0.09318400174379349, "best_triton_pos": 0} 2025-09-07T10:19:00.6229738Z AUTOTUNE convolution(8x376x56x56, 400x376x1x1) 2025-09-07T10:19:00.6230155Z strides: [1179136, 3136, 56, 1], [376, 1, 1, 1] 2025-09-07T10:19:00.6230508Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:00.6231407Z triton_convolution2d_83 0.0932 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 2025-09-07T10:19:00.6233226Z triton_convolution2d_80 0.0952 ms 97.8% 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 2025-09-07T10:19:00.6234703Z triton_convolution2d_82 0.1034 ms 90.1% 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 2025-09-07T10:19:00.6236163Z triton_convolution2d_78 0.1126 ms 82.7% 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 2025-09-07T10:19:00.6237616Z triton_convolution2d_81 0.1239 ms 75.2% 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 2025-09-07T10:19:00.6239083Z triton_convolution2d_77 0.1362 ms 68.4% 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 2025-09-07T10:19:00.6239981Z convolution 0.1526 ms 61.1% 2025-09-07T10:19:00.6240846Z triton_convolution2d_79 0.2038 ms 45.7% 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 2025-09-07T10:19:00.6241738Z conv1x1_via_mm 0.3400 ms 27.4% 2025-09-07T10:19:00.6242310Z SingleProcess AUTOTUNE benchmarking takes 0.2328 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:00.7934160Z Autotune Choices Stats: 2025-09-07T10:19:00.7936022Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03174399957060814, "best_triton_pos": 1, "best_triton_time": 0.04198399931192398, "best_triton_kernel": "triton_convolution2d_88", "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"} 2025-09-07T10:19:00.7971980Z AUTOTUNE convolution(8x400x28x28, 576x400x1x1) 2025-09-07T10:19:00.7972393Z strides: [313600, 784, 28, 1], [400, 1, 1, 1] 2025-09-07T10:19:00.7972739Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:00.7973185Z convolution 0.0317 ms 100.0% 2025-09-07T10:19:00.7974052Z triton_convolution2d_88 0.0420 ms 75.6% 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 2025-09-07T10:19:00.7975534Z triton_convolution2d_87 0.0451 ms 70.5% 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 2025-09-07T10:19:00.7977033Z triton_convolution2d_89 0.0451 ms 70.5% 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 2025-09-07T10:19:00.7978486Z triton_convolution2d_90 0.0461 ms 68.9% 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 2025-09-07T10:19:00.7979944Z triton_convolution2d_84 0.0502 ms 63.3% 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 2025-09-07T10:19:00.7981403Z triton_convolution2d_85 0.0522 ms 60.8% 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 2025-09-07T10:19:00.7983154Z triton_convolution2d_86 0.1044 ms 30.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:00.7984058Z conv1x1_via_mm 0.1403 ms 22.6% 2025-09-07T10:19:00.7984616Z SingleProcess AUTOTUNE benchmarking takes 0.1737 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:00.9729576Z Autotune Choices Stats: 2025-09-07T10:19:00.9731217Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03379200026392937, "best_triton_pos": 1, "best_triton_time": 0.04403200000524521, "best_triton_kernel": "triton_convolution2d_94", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:19:00.9766942Z AUTOTUNE convolution(8x704x28x28, 400x704x1x1) 2025-09-07T10:19:00.9767350Z strides: [551936, 784, 28, 1], [704, 1, 1, 1] 2025-09-07T10:19:00.9767693Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:00.9767999Z convolution 0.0338 ms 100.0% 2025-09-07T10:19:00.9768881Z triton_convolution2d_94 0.0440 ms 76.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:00.9770353Z triton_convolution2d_97 0.0440 ms 76.7% 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 2025-09-07T10:19:00.9771814Z triton_convolution2d_96 0.0451 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:00.9773613Z triton_convolution2d_95 0.0471 ms 71.7% 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 2025-09-07T10:19:00.9775074Z triton_convolution2d_91 0.0512 ms 66.0% 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 2025-09-07T10:19:00.9776538Z triton_convolution2d_92 0.0553 ms 61.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:00.9778009Z triton_convolution2d_93 0.1249 ms 27.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:00.9778898Z conv1x1_via_mm 0.1516 ms 22.3% 2025-09-07T10:19:00.9779473Z SingleProcess AUTOTUNE benchmarking takes 0.1775 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:01.1583717Z Autotune Choices Stats: 2025-09-07T10:19:01.1585421Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.035840000957250595, "best_triton_pos": 1, "best_triton_time": 0.048128001391887665, "best_triton_kernel": "triton_convolution2d_108", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:19:01.1621694Z AUTOTUNE convolution(8x768x28x28, 400x768x1x1) 2025-09-07T10:19:01.1622086Z strides: [602112, 784, 28, 1], [768, 1, 1, 1] 2025-09-07T10:19:01.1622414Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:01.1622746Z convolution 0.0358 ms 100.0% 2025-09-07T10:19:01.1623646Z triton_convolution2d_108 0.0481 ms 74.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:01.1625450Z triton_convolution2d_110 0.0492 ms 72.9% 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 2025-09-07T10:19:01.1626922Z triton_convolution2d_111 0.0492 ms 72.9% 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 2025-09-07T10:19:01.1628385Z triton_convolution2d_109 0.0522 ms 68.6% 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 2025-09-07T10:19:01.1629847Z triton_convolution2d_105 0.0553 ms 64.8% 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 2025-09-07T10:19:01.1631323Z triton_convolution2d_106 0.0594 ms 60.3% 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 2025-09-07T10:19:01.1632797Z triton_convolution2d_107 0.1341 ms 26.7% 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 2025-09-07T10:19:01.1633703Z conv1x1_via_mm 0.1587 ms 22.6% 2025-09-07T10:19:01.1634269Z SingleProcess AUTOTUNE benchmarking takes 0.1810 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:01.3468960Z Autotune Choices Stats: 2025-09-07T10:19:01.3470935Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.043007999658584595, "best_triton_pos": 1, "best_triton_time": 0.05119999870657921, "best_triton_kernel": "triton_convolution2d_122", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:19:01.3508282Z AUTOTUNE convolution(8x832x28x28, 400x832x1x1) 2025-09-07T10:19:01.3508663Z strides: [652288, 784, 28, 1], [832, 1, 1, 1] 2025-09-07T10:19:01.3509009Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:01.3509316Z convolution 0.0430 ms 100.0% 2025-09-07T10:19:01.3510197Z triton_convolution2d_122 0.0512 ms 84.0% 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 2025-09-07T10:19:01.3511684Z triton_convolution2d_124 0.0512 ms 84.0% 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 2025-09-07T10:19:01.3513177Z triton_convolution2d_125 0.0512 ms 84.0% 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 2025-09-07T10:19:01.3514633Z triton_convolution2d_123 0.0553 ms 77.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:01.3516089Z triton_convolution2d_119 0.0584 ms 73.7% 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 2025-09-07T10:19:01.3517548Z triton_convolution2d_120 0.0625 ms 68.9% 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 2025-09-07T10:19:01.3519193Z triton_convolution2d_121 0.1464 ms 29.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:01.3520083Z conv1x1_via_mm 0.1700 ms 25.3% 2025-09-07T10:19:01.3520651Z SingleProcess AUTOTUNE benchmarking takes 0.1843 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:01.5404135Z Autotune Choices Stats: 2025-09-07T10:19:01.5405774Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04403200000524521, "best_triton_pos": 1, "best_triton_time": 0.053247999399900436, "best_triton_kernel": "triton_convolution2d_136", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:19:01.5443282Z AUTOTUNE convolution(8x896x28x28, 400x896x1x1) 2025-09-07T10:19:01.5443686Z strides: [702464, 784, 28, 1], [896, 1, 1, 1] 2025-09-07T10:19:01.5444024Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:01.5444345Z convolution 0.0440 ms 100.0% 2025-09-07T10:19:01.5445230Z triton_convolution2d_136 0.0532 ms 82.7% 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 2025-09-07T10:19:01.5446714Z triton_convolution2d_138 0.0543 ms 81.1% 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 2025-09-07T10:19:01.5448176Z triton_convolution2d_139 0.0563 ms 78.2% 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 2025-09-07T10:19:01.5449866Z triton_convolution2d_137 0.0584 ms 75.4% 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 2025-09-07T10:19:01.5451321Z triton_convolution2d_133 0.0635 ms 69.4% 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 2025-09-07T10:19:01.5453027Z triton_convolution2d_134 0.0666 ms 66.2% 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 2025-09-07T10:19:01.5454512Z triton_convolution2d_135 0.1556 ms 28.3% 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 2025-09-07T10:19:01.5455420Z conv1x1_via_mm 0.1782 ms 24.7% 2025-09-07T10:19:01.5455986Z SingleProcess AUTOTUNE benchmarking takes 0.1890 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:01.7365616Z Autotune Choices Stats: 2025-09-07T10:19:01.7367272Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04608000069856644, "best_triton_pos": 1, "best_triton_time": 0.05734400078654289, "best_triton_kernel": "triton_convolution2d_152", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:19:01.7405730Z AUTOTUNE convolution(8x960x28x28, 400x960x1x1) 2025-09-07T10:19:01.7406111Z strides: [752640, 784, 28, 1], [960, 1, 1, 1] 2025-09-07T10:19:01.7406442Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:01.7406764Z convolution 0.0461 ms 100.0% 2025-09-07T10:19:01.7407661Z triton_convolution2d_152 0.0573 ms 80.4% 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 2025-09-07T10:19:01.7409415Z triton_convolution2d_150 0.0584 ms 78.9% 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 2025-09-07T10:19:01.7410895Z triton_convolution2d_153 0.0604 ms 76.3% 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 2025-09-07T10:19:01.7412370Z triton_convolution2d_151 0.0635 ms 72.6% 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 2025-09-07T10:19:01.7414062Z triton_convolution2d_147 0.0666 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:01.7415525Z triton_convolution2d_148 0.0717 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:01.7416998Z triton_convolution2d_149 0.1659 ms 27.8% 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 2025-09-07T10:19:01.7417901Z conv1x1_via_mm 0.1864 ms 24.7% 2025-09-07T10:19:01.7418465Z SingleProcess AUTOTUNE benchmarking takes 0.1916 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:01.9366248Z Autotune Choices Stats: 2025-09-07T10:19:01.9368217Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.048128001391887665, "best_triton_pos": 1, "best_triton_time": 0.05939200147986412, "best_triton_kernel": "triton_convolution2d_164", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:19:01.9406606Z AUTOTUNE convolution(8x1024x28x28, 400x1024x1x1) 2025-09-07T10:19:01.9407007Z strides: [802816, 784, 28, 1], [1024, 1, 1, 1] 2025-09-07T10:19:01.9407353Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:01.9407667Z convolution 0.0481 ms 100.0% 2025-09-07T10:19:01.9408554Z triton_convolution2d_164 0.0594 ms 81.0% 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 2025-09-07T10:19:01.9410029Z triton_convolution2d_166 0.0614 ms 78.3% 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 2025-09-07T10:19:01.9411516Z triton_convolution2d_167 0.0614 ms 78.3% 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 2025-09-07T10:19:01.9413182Z triton_convolution2d_165 0.0655 ms 73.4% 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 2025-09-07T10:19:01.9414647Z triton_convolution2d_161 0.0727 ms 66.2% 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 2025-09-07T10:19:01.9416107Z triton_convolution2d_162 0.0758 ms 63.5% 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 2025-09-07T10:19:01.9417755Z triton_convolution2d_163 0.1761 ms 27.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:01.9418662Z conv1x1_via_mm 0.1905 ms 25.3% 2025-09-07T10:19:01.9419227Z SingleProcess AUTOTUNE benchmarking takes 0.1953 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:02.1409830Z Autotune Choices Stats: 2025-09-07T10:19:02.1411506Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04915200173854828, "best_triton_pos": 1, "best_triton_time": 0.062463998794555664, "best_triton_kernel": "triton_convolution2d_178", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:19:02.1450209Z AUTOTUNE convolution(8x1088x28x28, 400x1088x1x1) 2025-09-07T10:19:02.1450639Z strides: [852992, 784, 28, 1], [1088, 1, 1, 1] 2025-09-07T10:19:02.1450983Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:02.1451289Z convolution 0.0492 ms 100.0% 2025-09-07T10:19:02.1452173Z triton_convolution2d_178 0.0625 ms 78.7% 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 2025-09-07T10:19:02.1453759Z triton_convolution2d_180 0.0645 ms 76.2% 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 2025-09-07T10:19:02.1455228Z triton_convolution2d_181 0.0655 ms 75.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:02.1456940Z triton_convolution2d_179 0.0696 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 2025-09-07T10:19:02.1458415Z triton_convolution2d_175 0.0737 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 2025-09-07T10:19:02.1459889Z triton_convolution2d_176 0.0799 ms 61.5% 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 2025-09-07T10:19:02.1461350Z triton_convolution2d_177 0.1874 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 2025-09-07T10:19:02.1462266Z conv1x1_via_mm 0.2038 ms 24.1% 2025-09-07T10:19:02.1462848Z SingleProcess AUTOTUNE benchmarking takes 0.1995 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:02.3331094Z Autotune Choices Stats: 2025-09-07T10:19:02.3332414Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_192", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.07065600156784058, "best_triton_pos": 0} 2025-09-07T10:19:02.3371625Z AUTOTUNE convolution(8x1152x28x28, 1152x1152x1x1) 2025-09-07T10:19:02.3372022Z strides: [903168, 784, 28, 1], [1152, 1, 1, 1] 2025-09-07T10:19:02.3372369Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:02.3373396Z triton_convolution2d_192 0.0707 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:02.3375112Z triton_convolution2d_193 0.0737 ms 95.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:02.3376012Z convolution 0.0758 ms 93.2% 2025-09-07T10:19:02.3376876Z triton_convolution2d_189 0.0932 ms 75.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:02.3378346Z triton_convolution2d_194 0.1004 ms 70.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:02.3379808Z triton_convolution2d_195 0.1065 ms 66.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:02.3381285Z triton_convolution2d_190 0.1116 ms 63.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:02.3382762Z triton_convolution2d_191 0.3574 ms 19.8% 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=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:02.3383929Z SingleProcess AUTOTUNE benchmarking takes 0.1874 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:19:02.5773873Z Autotune Choices Stats: 2025-09-07T10:19:02.5775846Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.08499199897050858, "best_triton_pos": 1, "best_triton_time": 0.10444799810647964, "best_triton_kernel": "triton_convolution2d_200", "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"} 2025-09-07T10:19:02.5815100Z AUTOTUNE convolution(8x1152x28x28, 800x1152x1x1) 2025-09-07T10:19:02.5815491Z strides: [903168, 784, 28, 1], [1152, 1, 1, 1] 2025-09-07T10:19:02.5815836Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:02.5816142Z convolution 0.0850 ms 100.0% 2025-09-07T10:19:02.5817019Z triton_convolution2d_200 0.1044 ms 81.4% 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 2025-09-07T10:19:02.5818506Z triton_convolution2d_199 0.1178 ms 72.2% 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 2025-09-07T10:19:02.5819983Z triton_convolution2d_202 0.1239 ms 68.6% 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 2025-09-07T10:19:02.5821484Z triton_convolution2d_201 0.1321 ms 64.3% 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 2025-09-07T10:19:02.5822945Z triton_convolution2d_196 0.1485 ms 57.2% 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 2025-09-07T10:19:02.5824414Z triton_convolution2d_197 0.1495 ms 56.8% 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 2025-09-07T10:19:02.5825367Z conv1x1_via_mm 0.3021 ms 28.1% 2025-09-07T10:19:02.5826427Z triton_convolution2d_198 0.3471 ms 24.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:02.5827592Z SingleProcess AUTOTUNE benchmarking takes 0.2436 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:19:02.7653240Z Autotune Choices Stats: 2025-09-07T10:19:02.7654564Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_207", "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": 0.03788800165057182, "best_triton_pos": 0} 2025-09-07T10:19:02.7693224Z AUTOTUNE convolution(8x800x14x14, 1088x800x1x1) 2025-09-07T10:19:02.7693698Z strides: [156800, 196, 14, 1], [800, 1, 1, 1] 2025-09-07T10:19:02.7694049Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:02.7695005Z triton_convolution2d_207 0.0379 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 2025-09-07T10:19:02.7696483Z triton_convolution2d_206 0.0461 ms 82.2% 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 2025-09-07T10:19:02.7697399Z convolution 0.0481 ms 78.7% 2025-09-07T10:19:02.7698269Z triton_convolution2d_203 0.0502 ms 75.5% 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 2025-09-07T10:19:02.7699735Z triton_convolution2d_204 0.0584 ms 64.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:02.7701525Z triton_convolution2d_208 0.0604 ms 62.7% 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 2025-09-07T10:19:02.7703004Z triton_convolution2d_209 0.0829 ms 45.7% 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 2025-09-07T10:19:02.7703905Z conv1x1_via_mm 0.1239 ms 30.6% 2025-09-07T10:19:02.7704773Z triton_convolution2d_205 0.1331 ms 28.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:02.7705997Z SingleProcess AUTOTUNE benchmarking takes 0.1856 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:02.9560473Z Autotune Choices Stats: 2025-09-07T10:19:02.9562166Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04198399931192398, "best_triton_pos": 1, "best_triton_time": 0.048128001391887665, "best_triton_kernel": "triton_convolution2d_214", "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"} 2025-09-07T10:19:02.9601385Z AUTOTUNE convolution(8x1216x14x14, 800x1216x1x1) 2025-09-07T10:19:02.9601809Z strides: [238336, 196, 14, 1], [1216, 1, 1, 1] 2025-09-07T10:19:02.9602156Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:02.9602465Z convolution 0.0420 ms 100.0% 2025-09-07T10:19:02.9603358Z triton_convolution2d_214 0.0481 ms 87.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:02.9605160Z triton_convolution2d_215 0.0553 ms 75.9% 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 2025-09-07T10:19:02.9606643Z triton_convolution2d_213 0.0614 ms 68.3% 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 2025-09-07T10:19:02.9608117Z triton_convolution2d_210 0.0666 ms 63.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:02.9609602Z triton_convolution2d_216 0.0676 ms 62.1% 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 2025-09-07T10:19:02.9611079Z triton_convolution2d_211 0.0881 ms 47.7% 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 2025-09-07T10:19:02.9612540Z triton_convolution2d_212 0.1219 ms 34.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:02.9613677Z conv1x1_via_mm 0.1362 ms 30.8% 2025-09-07T10:19:02.9614243Z SingleProcess AUTOTUNE benchmarking takes 0.1902 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:03.1517722Z Autotune Choices Stats: 2025-09-07T10:19:03.1519681Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.043007999658584595, "best_triton_pos": 1, "best_triton_time": 0.04915200173854828, "best_triton_kernel": "triton_convolution2d_228", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:19:03.1559421Z AUTOTUNE convolution(8x1280x14x14, 800x1280x1x1) 2025-09-07T10:19:03.1559842Z strides: [250880, 196, 14, 1], [1280, 1, 1, 1] 2025-09-07T10:19:03.1560186Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:03.1560513Z convolution 0.0430 ms 100.0% 2025-09-07T10:19:03.1561410Z triton_convolution2d_228 0.0492 ms 87.5% 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 2025-09-07T10:19:03.1562886Z triton_convolution2d_229 0.0573 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:03.1564376Z triton_convolution2d_227 0.0635 ms 67.7% 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 2025-09-07T10:19:03.1565861Z triton_convolution2d_224 0.0686 ms 62.7% 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 2025-09-07T10:19:03.1567313Z triton_convolution2d_230 0.0696 ms 61.8% 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 2025-09-07T10:19:03.1568780Z triton_convolution2d_225 0.0922 ms 46.7% 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 2025-09-07T10:19:03.1570256Z triton_convolution2d_226 0.1270 ms 33.9% 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 2025-09-07T10:19:03.1571474Z conv1x1_via_mm 0.1403 ms 30.7% 2025-09-07T10:19:03.1572043Z SingleProcess AUTOTUNE benchmarking takes 0.1923 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:03.3494681Z Autotune Choices Stats: 2025-09-07T10:19:03.3496338Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04403200000524521, "best_triton_pos": 1, "best_triton_time": 0.05119999870657921, "best_triton_kernel": "triton_convolution2d_242", "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"} 2025-09-07T10:19:03.3541510Z AUTOTUNE convolution(8x1344x14x14, 800x1344x1x1) 2025-09-07T10:19:03.3541927Z strides: [263424, 196, 14, 1], [1344, 1, 1, 1] 2025-09-07T10:19:03.3542301Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:03.3542607Z convolution 0.0440 ms 100.0% 2025-09-07T10:19:03.3543496Z triton_convolution2d_242 0.0512 ms 86.0% 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 2025-09-07T10:19:03.3544968Z triton_convolution2d_243 0.0604 ms 72.9% 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 2025-09-07T10:19:03.3546516Z triton_convolution2d_241 0.0666 ms 66.2% 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 2025-09-07T10:19:03.3547986Z triton_convolution2d_244 0.0717 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 2025-09-07T10:19:03.3549805Z triton_convolution2d_238 0.0727 ms 60.6% 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 2025-09-07T10:19:03.3551286Z triton_convolution2d_239 0.0963 ms 45.7% 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 2025-09-07T10:19:03.3552765Z triton_convolution2d_240 0.1321 ms 33.3% 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 2025-09-07T10:19:03.3553658Z conv1x1_via_mm 0.1475 ms 29.9% 2025-09-07T10:19:03.3554226Z SingleProcess AUTOTUNE benchmarking takes 0.1948 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:03.5499145Z Autotune Choices Stats: 2025-09-07T10:19:03.5500810Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04505600035190582, "best_triton_pos": 1, "best_triton_time": 0.053247999399900436, "best_triton_kernel": "triton_convolution2d_256", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:19:03.5540142Z AUTOTUNE convolution(8x1408x14x14, 800x1408x1x1) 2025-09-07T10:19:03.5540566Z strides: [275968, 196, 14, 1], [1408, 1, 1, 1] 2025-09-07T10:19:03.5540895Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:03.5541223Z convolution 0.0451 ms 100.0% 2025-09-07T10:19:03.5542098Z triton_convolution2d_256 0.0532 ms 84.6% 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 2025-09-07T10:19:03.5543796Z triton_convolution2d_257 0.0625 ms 72.1% 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 2025-09-07T10:19:03.5545326Z triton_convolution2d_255 0.0686 ms 65.7% 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 2025-09-07T10:19:03.5546811Z triton_convolution2d_252 0.0748 ms 60.3% 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 2025-09-07T10:19:03.5548279Z triton_convolution2d_258 0.0748 ms 60.3% 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 2025-09-07T10:19:03.5549738Z triton_convolution2d_253 0.1014 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 2025-09-07T10:19:03.5551212Z triton_convolution2d_254 0.1393 ms 32.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:03.5552121Z conv1x1_via_mm 0.1505 ms 29.9% 2025-09-07T10:19:03.5552682Z SingleProcess AUTOTUNE benchmarking takes 0.1965 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:03.7518143Z Autotune Choices Stats: 2025-09-07T10:19:03.7520071Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04608000069856644, "best_triton_pos": 1, "best_triton_time": 0.055296000093221664, "best_triton_kernel": "triton_convolution2d_270", "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"} 2025-09-07T10:19:03.7559577Z AUTOTUNE convolution(8x1472x14x14, 800x1472x1x1) 2025-09-07T10:19:03.7559997Z strides: [288512, 196, 14, 1], [1472, 1, 1, 1] 2025-09-07T10:19:03.7560328Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:03.7560645Z convolution 0.0461 ms 100.0% 2025-09-07T10:19:03.7561515Z triton_convolution2d_270 0.0553 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 2025-09-07T10:19:03.7562987Z triton_convolution2d_271 0.0655 ms 70.3% 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 2025-09-07T10:19:03.7564483Z triton_convolution2d_269 0.0727 ms 63.4% 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 2025-09-07T10:19:03.7565960Z triton_convolution2d_266 0.0788 ms 58.4% 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 2025-09-07T10:19:03.7567437Z triton_convolution2d_272 0.0788 ms 58.4% 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 2025-09-07T10:19:03.7568898Z triton_convolution2d_267 0.1055 ms 43.7% 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 2025-09-07T10:19:03.7570378Z triton_convolution2d_268 0.1475 ms 31.2% 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 2025-09-07T10:19:03.7571487Z conv1x1_via_mm 0.1546 ms 29.8% 2025-09-07T10:19:03.7572053Z SingleProcess AUTOTUNE benchmarking takes 0.1985 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:03.9558906Z Autotune Choices Stats: 2025-09-07T10:19:03.9560554Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.048128001391887665, "best_triton_pos": 1, "best_triton_time": 0.05632000043988228, "best_triton_kernel": "triton_convolution2d_284", "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"} 2025-09-07T10:19:03.9601488Z AUTOTUNE convolution(8x1536x14x14, 800x1536x1x1) 2025-09-07T10:19:03.9601895Z strides: [301056, 196, 14, 1], [1536, 1, 1, 1] 2025-09-07T10:19:03.9602270Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:03.9602589Z convolution 0.0481 ms 100.0% 2025-09-07T10:19:03.9603549Z triton_convolution2d_284 0.0563 ms 85.5% 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 2025-09-07T10:19:03.9605031Z triton_convolution2d_285 0.0676 ms 71.2% 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 2025-09-07T10:19:03.9606517Z triton_convolution2d_283 0.0748 ms 64.4% 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 2025-09-07T10:19:03.9607999Z triton_convolution2d_280 0.0809 ms 59.5% 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 2025-09-07T10:19:03.9609803Z triton_convolution2d_286 0.0809 ms 59.5% 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 2025-09-07T10:19:03.9611282Z triton_convolution2d_281 0.1096 ms 43.9% 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 2025-09-07T10:19:03.9612743Z triton_convolution2d_282 0.1505 ms 32.0% 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 2025-09-07T10:19:03.9613905Z conv1x1_via_mm 0.1597 ms 30.1% 2025-09-07T10:19:03.9614474Z SingleProcess AUTOTUNE benchmarking takes 0.2008 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:04.1621443Z Autotune Choices Stats: 2025-09-07T10:19:04.1623126Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.048128001391887665, "best_triton_pos": 1, "best_triton_time": 0.058368001133203506, "best_triton_kernel": "triton_convolution2d_298", "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"} 2025-09-07T10:19:04.1663052Z AUTOTUNE convolution(8x1600x14x14, 800x1600x1x1) 2025-09-07T10:19:04.1663451Z strides: [313600, 196, 14, 1], [1600, 1, 1, 1] 2025-09-07T10:19:04.1663800Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:04.1664133Z convolution 0.0481 ms 100.0% 2025-09-07T10:19:04.1665051Z triton_convolution2d_298 0.0584 ms 82.5% 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 2025-09-07T10:19:04.1666864Z triton_convolution2d_299 0.0696 ms 69.1% 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 2025-09-07T10:19:04.1668337Z triton_convolution2d_297 0.0768 ms 62.7% 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 2025-09-07T10:19:04.1669804Z triton_convolution2d_294 0.0840 ms 57.3% 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 2025-09-07T10:19:04.1671274Z triton_convolution2d_300 0.0840 ms 57.3% 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 2025-09-07T10:19:04.1672750Z triton_convolution2d_295 0.1137 ms 42.3% 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 2025-09-07T10:19:04.1674220Z triton_convolution2d_296 0.1567 ms 30.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:04.1675121Z conv1x1_via_mm 0.1679 ms 28.7% 2025-09-07T10:19:04.1675689Z SingleProcess AUTOTUNE benchmarking takes 0.2027 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:04.3703919Z Autotune Choices Stats: 2025-09-07T10:19:04.3705965Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.050175998359918594, "best_triton_pos": 1, "best_triton_time": 0.06143999844789505, "best_triton_kernel": "triton_convolution2d_312", "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"} 2025-09-07T10:19:04.3745996Z AUTOTUNE convolution(8x1664x14x14, 800x1664x1x1) 2025-09-07T10:19:04.3746419Z strides: [326144, 196, 14, 1], [1664, 1, 1, 1] 2025-09-07T10:19:04.3746770Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:04.3747075Z convolution 0.0502 ms 100.0% 2025-09-07T10:19:04.3747947Z triton_convolution2d_312 0.0614 ms 81.7% 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 2025-09-07T10:19:04.3749423Z triton_convolution2d_313 0.0717 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 2025-09-07T10:19:04.3750915Z triton_convolution2d_311 0.0799 ms 62.8% 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 2025-09-07T10:19:04.3752393Z triton_convolution2d_314 0.0850 ms 59.0% 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 2025-09-07T10:19:04.3753860Z triton_convolution2d_308 0.0870 ms 57.6% 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 2025-09-07T10:19:04.3755325Z triton_convolution2d_309 0.1178 ms 42.6% 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 2025-09-07T10:19:04.3756808Z triton_convolution2d_310 0.1638 ms 30.6% 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 2025-09-07T10:19:04.3757856Z conv1x1_via_mm 0.1720 ms 29.2% 2025-09-07T10:19:04.3758422Z SingleProcess AUTOTUNE benchmarking takes 0.2048 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:04.5813322Z Autotune Choices Stats: 2025-09-07T10:19:04.5814968Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05119999870657921, "best_triton_pos": 1, "best_triton_time": 0.06348799914121628, "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"} 2025-09-07T10:19:04.5856304Z AUTOTUNE convolution(8x1728x14x14, 800x1728x1x1) 2025-09-07T10:19:04.5856728Z strides: [338688, 196, 14, 1], [1728, 1, 1, 1] 2025-09-07T10:19:04.5857087Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:04.5857422Z convolution 0.0512 ms 100.0% 2025-09-07T10:19:04.5858305Z triton_convolution2d_326 0.0635 ms 80.6% 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 2025-09-07T10:19:04.5859776Z triton_convolution2d_327 0.0748 ms 68.5% 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 2025-09-07T10:19:04.5861251Z triton_convolution2d_325 0.0829 ms 61.7% 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 2025-09-07T10:19:04.5863002Z triton_convolution2d_322 0.0901 ms 56.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:04.5864474Z triton_convolution2d_328 0.0901 ms 56.8% 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 2025-09-07T10:19:04.5866013Z triton_convolution2d_323 0.1219 ms 42.0% 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 2025-09-07T10:19:04.5867498Z triton_convolution2d_324 0.1679 ms 30.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:04.5868413Z conv1x1_via_mm 0.1772 ms 28.9% 2025-09-07T10:19:04.5868983Z SingleProcess AUTOTUNE benchmarking takes 0.2076 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:04.7942672Z Autotune Choices Stats: 2025-09-07T10:19:04.7944344Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05119999870657921, "best_triton_pos": 1, "best_triton_time": 0.06451199948787689, "best_triton_kernel": "triton_convolution2d_340", "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"} 2025-09-07T10:19:04.7985397Z AUTOTUNE convolution(8x1792x14x14, 800x1792x1x1) 2025-09-07T10:19:04.7985785Z strides: [351232, 196, 14, 1], [1792, 1, 1, 1] 2025-09-07T10:19:04.7986117Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:04.7986451Z convolution 0.0512 ms 100.0% 2025-09-07T10:19:04.7987326Z triton_convolution2d_340 0.0645 ms 79.4% 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 2025-09-07T10:19:04.7989069Z triton_convolution2d_341 0.0778 ms 65.8% 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 2025-09-07T10:19:04.7990569Z triton_convolution2d_339 0.0860 ms 59.5% 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 2025-09-07T10:19:04.7992029Z triton_convolution2d_336 0.0932 ms 54.9% 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 2025-09-07T10:19:04.7993497Z triton_convolution2d_342 0.0932 ms 54.9% 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 2025-09-07T10:19:04.7994985Z triton_convolution2d_337 0.1260 ms 40.7% 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 2025-09-07T10:19:04.7996456Z triton_convolution2d_338 0.1741 ms 29.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:04.7997361Z conv1x1_via_mm 0.1812 ms 28.2% 2025-09-07T10:19:04.7997922Z SingleProcess AUTOTUNE benchmarking takes 0.2095 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:05.0100627Z Autotune Choices Stats: 2025-09-07T10:19:05.0102630Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05222399905323982, "best_triton_pos": 1, "best_triton_time": 0.06758400052785873, "best_triton_kernel": "triton_convolution2d_354", "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"} 2025-09-07T10:19:05.0143573Z AUTOTUNE convolution(8x1856x14x14, 800x1856x1x1) 2025-09-07T10:19:05.0143986Z strides: [363776, 196, 14, 1], [1856, 1, 1, 1] 2025-09-07T10:19:05.0144340Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:05.0144664Z convolution 0.0522 ms 100.0% 2025-09-07T10:19:05.0145588Z triton_convolution2d_354 0.0676 ms 77.3% 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 2025-09-07T10:19:05.0147076Z triton_convolution2d_355 0.0788 ms 66.2% 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 2025-09-07T10:19:05.0148587Z triton_convolution2d_353 0.0881 ms 59.3% 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 2025-09-07T10:19:05.0150067Z triton_convolution2d_356 0.0952 ms 54.8% 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 2025-09-07T10:19:05.0151539Z triton_convolution2d_350 0.0963 ms 54.3% 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 2025-09-07T10:19:05.0153005Z triton_convolution2d_351 0.1311 ms 39.8% 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 2025-09-07T10:19:05.0154483Z triton_convolution2d_352 0.1823 ms 28.7% 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 2025-09-07T10:19:05.0155637Z conv1x1_via_mm 0.1853 ms 28.2% 2025-09-07T10:19:05.0156187Z SingleProcess AUTOTUNE benchmarking takes 0.2123 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:05.2278755Z Autotune Choices Stats: 2025-09-07T10:19:05.2280378Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05427199974656105, "best_triton_pos": 1, "best_triton_time": 0.06963200122117996, "best_triton_kernel": "triton_convolution2d_368", "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"} 2025-09-07T10:19:05.2322047Z AUTOTUNE convolution(8x1920x14x14, 800x1920x1x1) 2025-09-07T10:19:05.2322458Z strides: [376320, 196, 14, 1], [1920, 1, 1, 1] 2025-09-07T10:19:05.2322786Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:05.2323118Z convolution 0.0543 ms 100.0% 2025-09-07T10:19:05.2323993Z triton_convolution2d_368 0.0696 ms 77.9% 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 2025-09-07T10:19:05.2325467Z triton_convolution2d_369 0.0819 ms 66.3% 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 2025-09-07T10:19:05.2326948Z triton_convolution2d_367 0.0911 ms 59.6% 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 2025-09-07T10:19:05.2328633Z triton_convolution2d_364 0.0993 ms 54.6% 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 2025-09-07T10:19:05.2330086Z triton_convolution2d_370 0.0993 ms 54.6% 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 2025-09-07T10:19:05.2331556Z triton_convolution2d_365 0.1352 ms 40.2% 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 2025-09-07T10:19:05.2333230Z triton_convolution2d_366 0.1853 ms 29.3% 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 2025-09-07T10:19:05.2334143Z conv1x1_via_mm 0.1905 ms 28.5% 2025-09-07T10:19:05.2334705Z SingleProcess AUTOTUNE benchmarking takes 0.2143 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:05.4477406Z Autotune Choices Stats: 2025-09-07T10:19:05.4479054Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05632000043988228, "best_triton_pos": 1, "best_triton_time": 0.07065600156784058, "best_triton_kernel": "triton_convolution2d_382", "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"} 2025-09-07T10:19:05.4520554Z AUTOTUNE convolution(8x1984x14x14, 800x1984x1x1) 2025-09-07T10:19:05.4520981Z strides: [388864, 196, 14, 1], [1984, 1, 1, 1] 2025-09-07T10:19:05.4521320Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:05.4521641Z convolution 0.0563 ms 100.0% 2025-09-07T10:19:05.4522520Z triton_convolution2d_382 0.0707 ms 79.7% 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 2025-09-07T10:19:05.4524275Z triton_convolution2d_383 0.0840 ms 67.1% 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 2025-09-07T10:19:05.4525751Z triton_convolution2d_381 0.0932 ms 60.4% 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 2025-09-07T10:19:05.4527239Z triton_convolution2d_378 0.1014 ms 55.6% 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 2025-09-07T10:19:05.4528696Z triton_convolution2d_384 0.1024 ms 55.0% 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 2025-09-07T10:19:05.4530178Z triton_convolution2d_379 0.1393 ms 40.4% 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 2025-09-07T10:19:05.4531659Z triton_convolution2d_380 0.1915 ms 29.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:05.4532561Z conv1x1_via_mm 0.1956 ms 28.8% 2025-09-07T10:19:05.4533396Z SingleProcess AUTOTUNE benchmarking takes 0.2163 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:05.6713352Z Autotune Choices Stats: 2025-09-07T10:19:05.6715360Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05632000043988228, "best_triton_pos": 1, "best_triton_time": 0.07372800260782242, "best_triton_kernel": "triton_convolution2d_396", "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"} 2025-09-07T10:19:05.6758172Z AUTOTUNE convolution(8x2048x14x14, 800x2048x1x1) 2025-09-07T10:19:05.6758589Z strides: [401408, 196, 14, 1], [2048, 1, 1, 1] 2025-09-07T10:19:05.6758938Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:05.6759270Z convolution 0.0563 ms 100.0% 2025-09-07T10:19:05.6760151Z triton_convolution2d_396 0.0737 ms 76.4% 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 2025-09-07T10:19:05.6761618Z triton_convolution2d_397 0.0881 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 2025-09-07T10:19:05.6763122Z triton_convolution2d_395 0.0963 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 2025-09-07T10:19:05.6764604Z triton_convolution2d_392 0.1044 ms 53.9% 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 2025-09-07T10:19:05.6766069Z triton_convolution2d_398 0.1055 ms 53.4% 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 2025-09-07T10:19:05.6767542Z triton_convolution2d_393 0.1434 ms 39.3% 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 2025-09-07T10:19:05.6769304Z triton_convolution2d_394 0.1976 ms 28.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:05.6770209Z conv1x1_via_mm 0.1997 ms 28.2% 2025-09-07T10:19:05.6770773Z SingleProcess AUTOTUNE benchmarking takes 0.2201 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:05.8980336Z Autotune Choices Stats: 2025-09-07T10:19:05.8981987Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05734400078654289, "best_triton_pos": 1, "best_triton_time": 0.07577600330114365, "best_triton_kernel": "triton_convolution2d_410", "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"} 2025-09-07T10:19:05.9026499Z AUTOTUNE convolution(8x2112x14x14, 800x2112x1x1) 2025-09-07T10:19:05.9026947Z strides: [413952, 196, 14, 1], [2112, 1, 1, 1] 2025-09-07T10:19:05.9027311Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:05.9027620Z convolution 0.0573 ms 100.0% 2025-09-07T10:19:05.9028517Z triton_convolution2d_410 0.0758 ms 75.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:05.9030002Z triton_convolution2d_411 0.0901 ms 63.6% 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 2025-09-07T10:19:05.9031484Z triton_convolution2d_409 0.0993 ms 57.7% 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 2025-09-07T10:19:05.9033260Z triton_convolution2d_406 0.1085 ms 52.8% 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 2025-09-07T10:19:05.9034752Z triton_convolution2d_412 0.1085 ms 52.8% 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 2025-09-07T10:19:05.9036212Z triton_convolution2d_407 0.1475 ms 38.9% 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 2025-09-07T10:19:05.9037111Z conv1x1_via_mm 0.2068 ms 27.7% 2025-09-07T10:19:05.9037983Z triton_convolution2d_408 0.2068 ms 27.7% 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 2025-09-07T10:19:05.9039155Z SingleProcess AUTOTUNE benchmarking takes 0.2230 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:06.1273425Z Autotune Choices Stats: 2025-09-07T10:19:06.1275080Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.058368001133203506, "best_triton_pos": 1, "best_triton_time": 0.07680000364780426, "best_triton_kernel": "triton_convolution2d_424", "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"} 2025-09-07T10:19:06.1318467Z AUTOTUNE convolution(8x2176x14x14, 800x2176x1x1) 2025-09-07T10:19:06.1318900Z strides: [426496, 196, 14, 1], [2176, 1, 1, 1] 2025-09-07T10:19:06.1319253Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:06.1319567Z convolution 0.0584 ms 100.0% 2025-09-07T10:19:06.1320450Z triton_convolution2d_424 0.0768 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 2025-09-07T10:19:06.1322271Z triton_convolution2d_425 0.0922 ms 63.3% 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 2025-09-07T10:19:06.1323747Z triton_convolution2d_423 0.1024 ms 57.0% 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 2025-09-07T10:19:06.1325235Z triton_convolution2d_426 0.1106 ms 52.8% 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 2025-09-07T10:19:06.1326713Z triton_convolution2d_420 0.1116 ms 52.3% 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 2025-09-07T10:19:06.1328167Z triton_convolution2d_421 0.1516 ms 38.5% 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 2025-09-07T10:19:06.1329066Z conv1x1_via_mm 0.2109 ms 27.7% 2025-09-07T10:19:06.1329944Z triton_convolution2d_422 0.2109 ms 27.7% 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 2025-09-07T10:19:06.1331115Z SingleProcess AUTOTUNE benchmarking takes 0.2255 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:06.3585817Z Autotune Choices Stats: 2025-09-07T10:19:06.3587704Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05939200147986412, "best_triton_pos": 1, "best_triton_time": 0.0798719972372055, "best_triton_kernel": "triton_convolution2d_438", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:19:06.3631520Z AUTOTUNE convolution(8x2240x14x14, 800x2240x1x1) 2025-09-07T10:19:06.3631929Z strides: [439040, 196, 14, 1], [2240, 1, 1, 1] 2025-09-07T10:19:06.3632275Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:06.3632578Z convolution 0.0594 ms 100.0% 2025-09-07T10:19:06.3633460Z triton_convolution2d_438 0.0799 ms 74.4% 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 2025-09-07T10:19:06.3634921Z triton_convolution2d_439 0.0942 ms 63.0% 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 2025-09-07T10:19:06.3636412Z triton_convolution2d_437 0.1055 ms 56.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:06.3637886Z triton_convolution2d_434 0.1147 ms 51.8% 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 2025-09-07T10:19:06.3639362Z triton_convolution2d_440 0.1157 ms 51.3% 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 2025-09-07T10:19:06.3640825Z triton_convolution2d_435 0.1567 ms 37.9% 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 2025-09-07T10:19:06.3641885Z conv1x1_via_mm 0.2161 ms 27.5% 2025-09-07T10:19:06.3642755Z triton_convolution2d_436 0.2202 ms 27.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:06.3643918Z SingleProcess AUTOTUNE benchmarking takes 0.2276 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:06.5917113Z Autotune Choices Stats: 2025-09-07T10:19:06.5918697Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.060416001826524734, "best_triton_pos": 1, "best_triton_time": 0.08089599758386612, "best_triton_kernel": "triton_convolution2d_452", "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"} 2025-09-07T10:19:06.5962120Z AUTOTUNE convolution(8x2304x14x14, 800x2304x1x1) 2025-09-07T10:19:06.5962562Z strides: [451584, 196, 14, 1], [2304, 1, 1, 1] 2025-09-07T10:19:06.5962903Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:06.5963224Z convolution 0.0604 ms 100.0% 2025-09-07T10:19:06.5964097Z triton_convolution2d_452 0.0809 ms 74.7% 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 2025-09-07T10:19:06.5965560Z triton_convolution2d_453 0.0973 ms 62.1% 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 2025-09-07T10:19:06.5967038Z triton_convolution2d_451 0.1075 ms 56.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:06.5968715Z triton_convolution2d_454 0.1178 ms 51.3% 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 2025-09-07T10:19:06.5970187Z triton_convolution2d_448 0.1188 ms 50.9% 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 2025-09-07T10:19:06.5971643Z triton_convolution2d_449 0.1597 ms 37.8% 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 2025-09-07T10:19:06.5972543Z conv1x1_via_mm 0.2202 ms 27.4% 2025-09-07T10:19:06.5973674Z triton_convolution2d_450 0.2253 ms 26.8% 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 2025-09-07T10:19:06.5974854Z SingleProcess AUTOTUNE benchmarking takes 0.2293 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:06.8270471Z Autotune Choices Stats: 2025-09-07T10:19:06.8272093Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.06143999844789505, "best_triton_pos": 1, "best_triton_time": 0.08601599931716919, "best_triton_kernel": "triton_convolution2d_466", "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"} 2025-09-07T10:19:06.8316234Z AUTOTUNE convolution(8x2368x14x14, 800x2368x1x1) 2025-09-07T10:19:06.8316642Z strides: [464128, 196, 14, 1], [2368, 1, 1, 1] 2025-09-07T10:19:06.8316978Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:06.8317296Z convolution 0.0614 ms 100.0% 2025-09-07T10:19:06.8318175Z triton_convolution2d_466 0.0860 ms 71.4% 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 2025-09-07T10:19:06.8319936Z triton_convolution2d_467 0.0993 ms 61.9% 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 2025-09-07T10:19:06.8321417Z triton_convolution2d_465 0.1116 ms 55.0% 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 2025-09-07T10:19:06.8322885Z triton_convolution2d_468 0.1198 ms 51.3% 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 2025-09-07T10:19:06.8324346Z triton_convolution2d_462 0.1208 ms 50.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:06.8325822Z triton_convolution2d_463 0.1638 ms 37.5% 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 2025-09-07T10:19:06.8326729Z conv1x1_via_mm 0.2253 ms 27.3% 2025-09-07T10:19:06.8327611Z triton_convolution2d_464 0.2324 ms 26.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:06.8328776Z SingleProcess AUTOTUNE benchmarking takes 0.2317 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:07.0552556Z Autotune Choices Stats: 2025-09-07T10:19:07.0554447Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.06758400052785873, "best_triton_pos": 1, "best_triton_time": 0.10035199671983719, "best_triton_kernel": "triton_convolution2d_480", "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"} 2025-09-07T10:19:07.0597603Z AUTOTUNE convolution(8x2432x14x14, 2304x2432x1x1) 2025-09-07T10:19:07.0597990Z strides: [476672, 196, 14, 1], [2432, 1, 1, 1] 2025-09-07T10:19:07.0598340Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:07.0598670Z convolution 0.0676 ms 100.0% 2025-09-07T10:19:07.0599546Z triton_convolution2d_480 0.1004 ms 67.3% 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 2025-09-07T10:19:07.0601017Z triton_convolution2d_481 0.1219 ms 55.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:07.0602500Z triton_convolution2d_479 0.1321 ms 51.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:07.0603979Z triton_convolution2d_476 0.1741 ms 38.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:07.0605441Z triton_convolution2d_482 0.1915 ms 35.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:19:07.0606907Z triton_convolution2d_477 0.2263 ms 29.9% 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 2025-09-07T10:19:07.0608543Z triton_convolution2d_478 0.5652 ms 12.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:07.0609708Z SingleProcess AUTOTUNE benchmarking takes 0.2245 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:19:07.3351387Z Autotune Choices Stats: 2025-09-07T10:19:07.3353035Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.0942080020904541, "best_triton_pos": 1, "best_triton_time": 0.13312000036239624, "best_triton_kernel": "triton_convolution2d_486", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:19:07.3408405Z AUTOTUNE convolution(8x2432x14x14, 1600x2432x1x1) 2025-09-07T10:19:07.3408828Z strides: [476672, 196, 14, 1], [2432, 1, 1, 1] 2025-09-07T10:19:07.3409194Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:07.3409533Z convolution 0.0942 ms 100.0% 2025-09-07T10:19:07.3410451Z triton_convolution2d_486 0.1331 ms 70.8% 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 2025-09-07T10:19:07.3411941Z triton_convolution2d_483 0.1464 ms 64.3% 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 2025-09-07T10:19:07.3413659Z triton_convolution2d_487 0.1659 ms 56.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:07.3420915Z triton_convolution2d_484 0.1782 ms 52.9% 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 2025-09-07T10:19:07.3422539Z triton_convolution2d_488 0.2048 ms 46.0% 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 2025-09-07T10:19:07.3424017Z triton_convolution2d_489 0.2335 ms 40.4% 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 2025-09-07T10:19:07.3424920Z conv1x1_via_mm 0.3369 ms 28.0% 2025-09-07T10:19:07.3425932Z triton_convolution2d_485 0.4198 ms 22.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:07.3427105Z SingleProcess AUTOTUNE benchmarking takes 0.2786 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:19:07.5607099Z Autotune Choices Stats: 2025-09-07T10:19:07.5608754Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04403200000524521, "best_triton_pos": 1, "best_triton_time": 0.05939200147986412, "best_triton_kernel": "triton_convolution2d_494", "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"} 2025-09-07T10:19:07.5657065Z AUTOTUNE convolution(8x1600x7x7, 2176x1600x1x1) 2025-09-07T10:19:07.5657518Z strides: [78400, 49, 7, 1], [1600, 1, 1, 1] 2025-09-07T10:19:07.5657863Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:07.5658189Z convolution 0.0440 ms 100.0% 2025-09-07T10:19:07.5659070Z triton_convolution2d_494 0.0594 ms 74.1% 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 2025-09-07T10:19:07.5660798Z triton_convolution2d_495 0.0768 ms 57.3% 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 2025-09-07T10:19:07.5662264Z triton_convolution2d_493 0.0788 ms 55.8% 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 2025-09-07T10:19:07.5663751Z triton_convolution2d_490 0.0993 ms 44.3% 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 2025-09-07T10:19:07.5665284Z triton_convolution2d_496 0.1014 ms 43.4% 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 2025-09-07T10:19:07.5666764Z triton_convolution2d_491 0.1372 ms 32.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:07.5667667Z conv1x1_via_mm 0.1454 ms 30.3% 2025-09-07T10:19:07.5668537Z triton_convolution2d_492 0.1792 ms 24.6% 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 2025-09-07T10:19:07.5669707Z SingleProcess AUTOTUNE benchmarking takes 0.2222 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:19:07.8111899Z Autotune Choices Stats: 2025-09-07T10:19:07.8113809Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.053247999399900436, "best_triton_pos": 1, "best_triton_time": 0.08191999793052673, "best_triton_kernel": "triton_convolution2d_501", "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"} 2025-09-07T10:19:07.8163447Z AUTOTUNE convolution(8x2432x7x7, 1600x2432x1x1) 2025-09-07T10:19:07.8163861Z strides: [119168, 49, 7, 1], [2432, 1, 1, 1] 2025-09-07T10:19:07.8164191Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:07.8164511Z convolution 0.0532 ms 100.0% 2025-09-07T10:19:07.8165387Z triton_convolution2d_501 0.0819 ms 65.0% 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 2025-09-07T10:19:07.8166868Z triton_convolution2d_502 0.1075 ms 49.5% 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 2025-09-07T10:19:07.8168351Z triton_convolution2d_500 0.1137 ms 46.8% 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 2025-09-07T10:19:07.8169824Z triton_convolution2d_497 0.1475 ms 36.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:19:07.8171281Z triton_convolution2d_503 0.1475 ms 36.1% 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 2025-09-07T10:19:07.8172180Z conv1x1_via_mm 0.1505 ms 35.4% 2025-09-07T10:19:07.8173292Z triton_convolution2d_498 0.1946 ms 27.4% 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 2025-09-07T10:19:07.8174975Z triton_convolution2d_499 0.2028 ms 26.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:19:07.8176136Z SingleProcess AUTOTUNE benchmarking takes 0.2480 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:19:08.0659781Z Autotune Choices Stats: 2025-09-07T10:19:08.0661393Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.05632000043988228, "best_triton_pos": 1, "best_triton_time": 0.08499199897050858, "best_triton_kernel": "triton_convolution2d_515", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:19:08.0707349Z AUTOTUNE convolution(8x2560x7x7, 1600x2560x1x1) 2025-09-07T10:19:08.0707765Z strides: [125440, 49, 7, 1], [2560, 1, 1, 1] 2025-09-07T10:19:08.0708102Z dtypes: torch.float16, torch.float16 2025-09-07T10:19:08.0708424Z convolution 0.0563 ms 100.0% 2025-09-07T10:19:08.0709311Z triton_convolution2d_515 0.0850 ms 66.3% 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 2025-09-07T10:19:08.0710775Z triton_convolution2d_516 0.1137 ms 49.5% 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 2025-09-07T10:19:08.0712245Z triton_convolution2d_514 0.1188 ms 47.4% 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 2025-09-07T10:19:08.0713910Z triton_convolution2d_511 0.1536 ms 36.7% 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 2025-09-07T10:19:08.0715386Z triton_convolution2d_517 0.1546 ms 36.4% 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 2025-09-07T10:19:08.0716282Z conv1x1_via_mm 0.1556 ms 36.2% 2025-09-07T10:19:08.0717160Z triton_convolution2d_512 0.2048 ms 27.5% 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 2025-09-07T10:19:08.0718633Z triton_convolution2d_513 0.2130 ms 26.4% 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 2025-09-07T10:19:08.0719794Z SingleProcess AUTOTUNE benchmarking takes 0.2485 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:19:55.9911277Z pass 2025-09-07T10:20:02.8494593Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:20:02.8496012Z import pynvml # type: ignore[import] 2025-09-07T10:20:06.4985326Z 2025-09-07T10:20:07.7367811Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:20:07.7368194Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:20:07.7368536Z cuda train eca_botnext26ts_256 2025-09-07T10:20:33.7061579Z Autotune Choices Stats: 2025-09-07T10:20:33.7062980Z {"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": 0.023552000522613525, "best_triton_pos": 0} 2025-09-07T10:20:33.7109506Z AUTOTUNE convolution(8x3x256x256, 24x3x3x3) 2025-09-07T10:20:33.7109907Z strides: [196608, 65536, 256, 1], [27, 9, 3, 1] 2025-09-07T10:20:33.7110266Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:33.7111184Z triton_convolution2d_1 0.0236 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:20:33.7112665Z triton_convolution2d_5 0.0246 ms 95.8% 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 2025-09-07T10:20:33.7114135Z triton_convolution2d_3 0.0256 ms 92.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:20:33.7115621Z triton_convolution2d_0 0.0266 ms 88.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:20:33.7117053Z triton_convolution2d_4 0.0297 ms 79.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:20:33.7117943Z convolution 0.0399 ms 59.0% 2025-09-07T10:20:33.7118817Z triton_convolution2d_2 0.0399 ms 59.0% 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 2025-09-07T10:20:33.7119978Z SingleProcess AUTOTUNE benchmarking takes 0.1143 seconds and 0.0003 seconds precompiling for 7 choices 2025-09-07T10:20:33.8626590Z Autotune Choices Stats: 2025-09-07T10:20:33.8628272Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_7", "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=4", "best_time": 0.050175998359918594, "best_triton_pos": 0} 2025-09-07T10:20:33.8673295Z AUTOTUNE convolution(8x24x128x128, 32x24x3x3) 2025-09-07T10:20:33.8673709Z strides: [393216, 16384, 128, 1], [216, 9, 3, 1] 2025-09-07T10:20:33.8674066Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:33.8674997Z triton_convolution2d_7 0.0502 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=4 2025-09-07T10:20:33.8676499Z triton_convolution2d_12 0.0573 ms 87.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:20:33.8677995Z triton_convolution2d_6 0.0614 ms 81.7% 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 2025-09-07T10:20:33.8678879Z convolution 0.0625 ms 80.3% 2025-09-07T10:20:33.8679748Z triton_convolution2d_9 0.0635 ms 79.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:20:33.8681213Z triton_convolution2d_10 0.0676 ms 74.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:20:33.8682673Z triton_convolution2d_11 0.0737 ms 68.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:20:33.8684393Z triton_convolution2d_8 0.1219 ms 41.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:20:33.8685557Z SingleProcess AUTOTUNE benchmarking takes 0.1559 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:20:34.0410243Z Autotune Choices Stats: 2025-09-07T10:20:34.0411549Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_14", "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": 0.07475200295448303, "best_triton_pos": 0} 2025-09-07T10:20:34.0457041Z AUTOTUNE convolution(8x32x128x128, 64x32x3x3) 2025-09-07T10:20:34.0457477Z strides: [524288, 16384, 128, 1], [288, 9, 3, 1] 2025-09-07T10:20:34.0457844Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:34.0458776Z triton_convolution2d_14 0.0748 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 2025-09-07T10:20:34.0460254Z triton_convolution2d_19 0.0778 ms 96.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:20:34.0461715Z triton_convolution2d_16 0.0788 ms 94.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:20:34.0463168Z triton_convolution2d_17 0.0819 ms 91.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:20:34.0464886Z triton_convolution2d_13 0.0829 ms 90.1% 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 2025-09-07T10:20:34.0465849Z convolution 0.0860 ms 86.9% 2025-09-07T10:20:34.0466709Z triton_convolution2d_18 0.0901 ms 83.0% 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 2025-09-07T10:20:34.0468173Z triton_convolution2d_15 0.2120 ms 35.3% 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 2025-09-07T10:20:34.0469335Z SingleProcess AUTOTUNE benchmarking takes 0.1779 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:20:34.1899042Z Autotune Choices Stats: 2025-09-07T10:20:34.1900346Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_24", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:20:34.1945548Z AUTOTUNE convolution(8x64x64x64, 64x64x1x1) 2025-09-07T10:20:34.1945930Z strides: [262144, 4096, 64, 1], [64, 1, 1, 1] 2025-09-07T10:20:34.1946272Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:34.1947183Z triton_convolution2d_24 0.0133 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:34.1948657Z triton_convolution2d_25 0.0133 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:34.1950290Z triton_convolution2d_23 0.0143 ms 92.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:34.1951747Z triton_convolution2d_21 0.0154 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 2025-09-07T10:20:34.1953214Z triton_convolution2d_26 0.0154 ms 86.7% 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 2025-09-07T10:20:34.1954666Z triton_convolution2d_20 0.0174 ms 76.5% 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 2025-09-07T10:20:34.1955569Z convolution 0.0184 ms 72.2% 2025-09-07T10:20:34.1956440Z triton_convolution2d_22 0.0195 ms 68.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:34.1957338Z conv1x1_via_mm 0.0676 ms 19.7% 2025-09-07T10:20:34.1957894Z SingleProcess AUTOTUNE benchmarking takes 0.1483 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:34.3457452Z Autotune Choices Stats: 2025-09-07T10:20:34.3458720Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_33", "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} 2025-09-07T10:20:34.3504636Z AUTOTUNE convolution(8x64x64x64, 256x64x1x1) 2025-09-07T10:20:34.3505319Z strides: [262144, 4096, 64, 1], [64, 1, 1, 1] 2025-09-07T10:20:34.3505654Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:34.3506567Z triton_convolution2d_33 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 2025-09-07T10:20:34.3508052Z triton_convolution2d_30 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 2025-09-07T10:20:34.3509535Z triton_convolution2d_28 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 2025-09-07T10:20:34.3510991Z triton_convolution2d_31 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 2025-09-07T10:20:34.3512454Z triton_convolution2d_32 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 2025-09-07T10:20:34.3513917Z triton_convolution2d_27 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 2025-09-07T10:20:34.3515379Z triton_convolution2d_29 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 2025-09-07T10:20:34.3516267Z convolution 0.0420 ms 58.5% 2025-09-07T10:20:34.3516676Z conv1x1_via_mm 0.1556 ms 15.8% 2025-09-07T10:20:34.3517250Z SingleProcess AUTOTUNE benchmarking takes 0.1553 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:34.5049393Z Autotune Choices Stats: 2025-09-07T10:20:34.5050727Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_44", "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} 2025-09-07T10:20:34.5096489Z AUTOTUNE convolution(8x256x64x64, 64x256x1x1) 2025-09-07T10:20:34.5096891Z strides: [1048576, 4096, 64, 1], [256, 1, 1, 1] 2025-09-07T10:20:34.5097234Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:34.5098146Z triton_convolution2d_44 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 2025-09-07T10:20:34.5099659Z triton_convolution2d_45 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 2025-09-07T10:20:34.5101114Z triton_convolution2d_41 0.0297 ms 96.6% 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 2025-09-07T10:20:34.5102573Z triton_convolution2d_47 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 2025-09-07T10:20:34.5104040Z triton_convolution2d_42 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 2025-09-07T10:20:34.5105853Z triton_convolution2d_46 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 2025-09-07T10:20:34.5107327Z triton_convolution2d_43 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 2025-09-07T10:20:34.5108225Z convolution 0.0430 ms 66.7% 2025-09-07T10:20:34.5108521Z conv1x1_via_mm 0.1556 ms 18.4% 2025-09-07T10:20:34.5109083Z SingleProcess AUTOTUNE benchmarking takes 0.1573 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:34.6751057Z Autotune Choices Stats: 2025-09-07T10:20:34.6752394Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_60", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.035840000957250595, "best_triton_pos": 0} 2025-09-07T10:20:34.6799957Z AUTOTUNE convolution(8x256x64x64, 128x256x1x1) 2025-09-07T10:20:34.6800387Z strides: [1048576, 4096, 64, 1], [256, 1, 1, 1] 2025-09-07T10:20:34.6800738Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:34.6801659Z triton_convolution2d_60 0.0358 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:34.6803146Z triton_convolution2d_58 0.0379 ms 94.6% 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 2025-09-07T10:20:34.6804630Z triton_convolution2d_61 0.0399 ms 89.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:34.6806408Z triton_convolution2d_59 0.0410 ms 87.5% 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 2025-09-07T10:20:34.6807847Z triton_convolution2d_56 0.0440 ms 81.4% 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 2025-09-07T10:20:34.6809311Z triton_convolution2d_55 0.0512 ms 70.0% 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 2025-09-07T10:20:34.6810784Z triton_convolution2d_57 0.0614 ms 58.3% 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 2025-09-07T10:20:34.6811706Z convolution 0.0758 ms 47.3% 2025-09-07T10:20:34.6812013Z conv1x1_via_mm 0.1812 ms 19.8% 2025-09-07T10:20:34.6812586Z SingleProcess AUTOTUNE benchmarking takes 0.1683 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:34.8326014Z Autotune Choices Stats: 2025-09-07T10:20:34.8327317Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_66", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.020479999482631683, "best_triton_pos": 0} 2025-09-07T10:20:34.8376216Z AUTOTUNE convolution(8x128x32x32, 512x128x1x1) 2025-09-07T10:20:34.8376629Z strides: [131072, 1024, 32, 1], [128, 1, 1, 1] 2025-09-07T10:20:34.8376983Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:34.8378183Z triton_convolution2d_66 0.0205 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:34.8379667Z triton_convolution2d_65 0.0225 ms 90.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:34.8381150Z triton_convolution2d_67 0.0225 ms 90.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:34.8382602Z triton_convolution2d_68 0.0236 ms 87.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:34.8384075Z triton_convolution2d_63 0.0256 ms 80.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:34.8385607Z triton_convolution2d_62 0.0266 ms 76.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:34.8387092Z triton_convolution2d_64 0.0317 ms 64.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:34.8388010Z convolution 0.0358 ms 57.1% 2025-09-07T10:20:34.8388313Z conv1x1_via_mm 0.0952 ms 21.5% 2025-09-07T10:20:34.8388867Z SingleProcess AUTOTUNE benchmarking takes 0.1570 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:34.9928844Z Autotune Choices Stats: 2025-09-07T10:20:34.9930438Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_72", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.03481600061058998, "best_triton_pos": 0} 2025-09-07T10:20:34.9980685Z AUTOTUNE convolution(8x256x64x64, 512x256x1x1) 2025-09-07T10:20:34.9981069Z strides: [1048576, 4096, 64, 1], [256, 1, 1, 1] 2025-09-07T10:20:34.9981423Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:34.9982329Z triton_convolution2d_72 0.0348 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:34.9983815Z triton_convolution2d_73 0.0369 ms 94.4% 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 2025-09-07T10:20:34.9985336Z triton_convolution2d_69 0.0440 ms 79.1% 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 2025-09-07T10:20:34.9986796Z triton_convolution2d_74 0.0440 ms 79.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:34.9988259Z triton_convolution2d_75 0.0471 ms 73.9% 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 2025-09-07T10:20:34.9989725Z triton_convolution2d_70 0.0492 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:34.9990629Z convolution 0.0686 ms 50.7% 2025-09-07T10:20:34.9991657Z triton_convolution2d_71 0.2048 ms 17.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:34.9992817Z SingleProcess AUTOTUNE benchmarking takes 0.1598 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:20:35.1644857Z Autotune Choices Stats: 2025-09-07T10:20:35.1646494Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.025599999353289604, "best_triton_kernel": "triton_convolution2d_80", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:20:35.1697432Z AUTOTUNE convolution(8x512x32x32, 128x512x1x1) 2025-09-07T10:20:35.1697870Z strides: [524288, 1024, 32, 1], [512, 1, 1, 1] 2025-09-07T10:20:35.1698227Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:35.1698532Z convolution 0.0236 ms 100.0% 2025-09-07T10:20:35.1699408Z triton_convolution2d_80 0.0256 ms 92.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.1700871Z triton_convolution2d_81 0.0276 ms 85.2% 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 2025-09-07T10:20:35.1702343Z triton_convolution2d_79 0.0307 ms 76.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:35.1703816Z triton_convolution2d_82 0.0307 ms 76.7% 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 2025-09-07T10:20:35.1705592Z triton_convolution2d_76 0.0369 ms 63.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.1707050Z triton_convolution2d_77 0.0389 ms 60.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.1708508Z triton_convolution2d_78 0.0532 ms 44.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:35.1709415Z conv1x1_via_mm 0.0911 ms 25.8% 2025-09-07T10:20:35.1709985Z SingleProcess AUTOTUNE benchmarking takes 0.1709 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:20:35.3429532Z Autotune Choices Stats: 2025-09-07T10:20:35.3431181Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.025599999353289604, "best_triton_pos": 1, "best_triton_time": 0.027648000046610832, "best_triton_kernel": "triton_convolution2d_94", "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"} 2025-09-07T10:20:35.3480981Z AUTOTUNE convolution(8x512x32x32, 256x512x1x1) 2025-09-07T10:20:35.3481366Z strides: [524288, 1024, 32, 1], [512, 1, 1, 1] 2025-09-07T10:20:35.3481713Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:35.3482020Z convolution 0.0256 ms 100.0% 2025-09-07T10:20:35.3483122Z triton_convolution2d_94 0.0276 ms 92.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.3484611Z triton_convolution2d_93 0.0328 ms 78.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:35.3486082Z triton_convolution2d_96 0.0328 ms 78.1% 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 2025-09-07T10:20:35.3487549Z triton_convolution2d_91 0.0399 ms 64.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.3489012Z triton_convolution2d_90 0.0440 ms 58.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.3490482Z triton_convolution2d_95 0.0502 ms 51.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:35.3491934Z triton_convolution2d_92 0.0604 ms 42.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:35.3493075Z conv1x1_via_mm 0.1167 ms 21.9% 2025-09-07T10:20:35.3493646Z SingleProcess AUTOTUNE benchmarking takes 0.1753 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:20:35.5060859Z Autotune Choices Stats: 2025-09-07T10:20:35.5062155Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_101", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:20:35.5119681Z AUTOTUNE convolution(8x256x16x16, 1024x256x1x1) 2025-09-07T10:20:35.5120086Z strides: [65536, 256, 16, 1], [256, 1, 1, 1] 2025-09-07T10:20:35.5120429Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:35.5121328Z triton_convolution2d_101 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 2025-09-07T10:20:35.5122234Z convolution 0.0184 ms 94.4% 2025-09-07T10:20:35.5123112Z triton_convolution2d_100 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 2025-09-07T10:20:35.5124601Z triton_convolution2d_103 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 2025-09-07T10:20:35.5126062Z triton_convolution2d_98 0.0236 ms 73.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.5127523Z triton_convolution2d_97 0.0246 ms 70.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.5128974Z triton_convolution2d_102 0.0276 ms 63.0% 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 2025-09-07T10:20:35.5130653Z triton_convolution2d_99 0.0338 ms 51.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:35.5131564Z conv1x1_via_mm 0.0788 ms 22.1% 2025-09-07T10:20:35.5132131Z SingleProcess AUTOTUNE benchmarking takes 0.1624 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:35.6710852Z Autotune Choices Stats: 2025-09-07T10:20:35.6712163Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_108", "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": 0.03481600061058998, "best_triton_pos": 0} 2025-09-07T10:20:35.6764413Z AUTOTUNE convolution(8x512x32x32, 1024x512x1x1) 2025-09-07T10:20:35.6764838Z strides: [524288, 1024, 32, 1], [512, 1, 1, 1] 2025-09-07T10:20:35.6765194Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:35.6766124Z triton_convolution2d_108 0.0348 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 2025-09-07T10:20:35.6767616Z triton_convolution2d_107 0.0358 ms 97.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:35.6769077Z triton_convolution2d_104 0.0440 ms 79.1% 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 2025-09-07T10:20:35.6770545Z triton_convolution2d_110 0.0481 ms 72.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:35.6771675Z convolution 0.0492 ms 70.8% 2025-09-07T10:20:35.6772555Z triton_convolution2d_109 0.0492 ms 70.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:35.6774241Z triton_convolution2d_105 0.0502 ms 69.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.6775723Z triton_convolution2d_106 0.4608 ms 7.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:35.6776892Z SingleProcess AUTOTUNE benchmarking takes 0.1638 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:20:35.8596620Z Autotune Choices Stats: 2025-09-07T10:20:35.8598293Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.016383999958634377, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_convolution2d_115", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:20:35.8649911Z AUTOTUNE convolution(8x1024x16x16, 256x1024x1x1) 2025-09-07T10:20:35.8650367Z strides: [262144, 256, 16, 1], [1024, 1, 1, 1] 2025-09-07T10:20:35.8650716Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:35.8651026Z convolution 0.0164 ms 100.0% 2025-09-07T10:20:35.8651900Z triton_convolution2d_115 0.0348 ms 47.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.8653866Z triton_convolution2d_117 0.0481 ms 34.0% 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 2025-09-07T10:20:35.8655367Z triton_convolution2d_114 0.0492 ms 33.3% 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 2025-09-07T10:20:35.8656842Z triton_convolution2d_116 0.0543 ms 30.2% 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 2025-09-07T10:20:35.8658323Z triton_convolution2d_112 0.0604 ms 27.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:35.8659806Z triton_convolution2d_111 0.0686 ms 23.9% 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 2025-09-07T10:20:35.8660695Z conv1x1_via_mm 0.0809 ms 20.3% 2025-09-07T10:20:35.8661582Z triton_convolution2d_113 0.0911 ms 18.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:35.8662753Z SingleProcess AUTOTUNE benchmarking takes 0.1878 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:20:36.5051775Z Autotune Choices Stats: 2025-09-07T10:20:36.5053372Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_122", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:20:36.5106605Z AUTOTUNE convolution(8x256x16x16, 384x256x1x1) 2025-09-07T10:20:36.5107014Z strides: [65536, 256, 16, 1], [256, 1, 1, 1] 2025-09-07T10:20:36.5107359Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:36.5108275Z triton_convolution2d_122 0.0154 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:36.5109865Z triton_convolution2d_123 0.0174 ms 88.2% 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 2025-09-07T10:20:36.5111353Z triton_convolution2d_121 0.0184 ms 83.3% 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 2025-09-07T10:20:36.5112838Z triton_convolution2d_124 0.0184 ms 83.3% 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 2025-09-07T10:20:36.5113723Z convolution 0.0195 ms 78.9% 2025-09-07T10:20:36.5114587Z triton_convolution2d_118 0.0215 ms 71.4% 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 2025-09-07T10:20:36.5116051Z triton_convolution2d_119 0.0215 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 2025-09-07T10:20:36.5117523Z triton_convolution2d_120 0.0297 ms 51.7% 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 2025-09-07T10:20:36.5118424Z conv1x1_via_mm 0.0461 ms 33.3% 2025-09-07T10:20:36.5119250Z SingleProcess AUTOTUNE benchmarking takes 0.6441 seconds and 0.0003 seconds precompiling for 9 choices 2025-09-07T10:20:36.7441898Z Autotune Choices Stats: 2025-09-07T10:20:36.7443080Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_130", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:20:36.7498015Z AUTOTUNE bmm(32x256x16, 32x16x256) 2025-09-07T10:20:36.7498367Z strides: [4096, 1, 256], [4096, 256, 1] 2025-09-07T10:20:36.7498708Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:36.7499458Z triton_bmm_130 0.0092 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 2025-09-07T10:20:36.7500682Z triton_bmm_131 0.0092 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=8 2025-09-07T10:20:36.7501892Z triton_bmm_137 0.0092 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 2025-09-07T10:20:36.7503093Z triton_bmm_125 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 2025-09-07T10:20:36.7504271Z triton_bmm_126 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=2, num_warps=4 2025-09-07T10:20:36.7505502Z triton_bmm_127 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:20:36.7506683Z triton_bmm_129 0.0102 ms 90.0% 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 2025-09-07T10:20:36.7508086Z triton_bmm_132 0.0102 ms 90.0% 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 2025-09-07T10:20:36.7509248Z triton_bmm_133 0.0102 ms 90.0% 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 2025-09-07T10:20:36.7510434Z triton_bmm_134 0.0102 ms 90.0% 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=4, num_warps=8 2025-09-07T10:20:36.7511467Z SingleProcess AUTOTUNE benchmarking takes 0.2384 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:20:36.9506945Z Autotune Choices Stats: 2025-09-07T10:20:36.9508161Z {"num_choices": 15, "num_triton_choices": 14, "best_kernel": "triton_mm_141", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:20:36.9560816Z AUTOTUNE mm(8192x16, 16x31) 2025-09-07T10:20:36.9561111Z strides: [16, 1], [1, 16] 2025-09-07T10:20:36.9561408Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:36.9562167Z triton_mm_141 0.0082 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 2025-09-07T10:20:36.9563372Z triton_mm_142 0.0082 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 2025-09-07T10:20:36.9564549Z triton_mm_143 0.0082 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=5, num_warps=4 2025-09-07T10:20:36.9565976Z triton_mm_144 0.0082 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 2025-09-07T10:20:36.9567139Z triton_mm_145 0.0082 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 2025-09-07T10:20:36.9568316Z triton_mm_146 0.0082 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 2025-09-07T10:20:36.9569488Z triton_mm_147 0.0082 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=3, num_warps=8 2025-09-07T10:20:36.9570673Z triton_mm_148 0.0082 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=3, num_warps=4 2025-09-07T10:20:36.9571848Z triton_mm_149 0.0082 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=4, num_warps=8 2025-09-07T10:20:36.9573265Z triton_mm_150 0.0082 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=4, num_warps=4 2025-09-07T10:20:36.9574286Z SingleProcess AUTOTUNE benchmarking takes 0.2055 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:20:37.2138539Z Autotune Choices Stats: 2025-09-07T10:20:37.2139720Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_176", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:20:37.2192650Z AUTOTUNE bmm(32x256x256, 32x256x64) 2025-09-07T10:20:37.2193079Z strides: [65536, 256, 1], [16384, 1, 256] 2025-09-07T10:20:37.2193423Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:37.2194186Z triton_bmm_176 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:20:37.2195385Z triton_bmm_178 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:20:37.2196560Z triton_bmm_180 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:20:37.2197759Z triton_bmm_182 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:20:37.2198969Z triton_bmm_183 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:20:37.2200169Z triton_bmm_185 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:20:37.2201357Z triton_bmm_170 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:20:37.2202542Z triton_bmm_179 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:20:37.2203713Z triton_bmm_186 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:20:37.2204638Z bmm 0.0164 ms 87.5% 2025-09-07T10:20:37.2205179Z SingleProcess AUTOTUNE benchmarking takes 0.2609 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:20:37.3963351Z Autotune Choices Stats: 2025-09-07T10:20:37.3964979Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.027648000046610832, "best_triton_pos": 1, "best_triton_time": 0.03686400130391121, "best_triton_kernel": "triton_convolution2d_198", "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"} 2025-09-07T10:20:37.4015643Z AUTOTUNE convolution(8x1024x16x16, 512x1024x1x1) 2025-09-07T10:20:37.4016092Z strides: [262144, 256, 16, 1], [1024, 1, 1, 1] 2025-09-07T10:20:37.4016438Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:37.4016784Z convolution 0.0276 ms 100.0% 2025-09-07T10:20:37.4017684Z triton_convolution2d_198 0.0369 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 2025-09-07T10:20:37.4019163Z triton_convolution2d_200 0.0481 ms 57.4% 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 2025-09-07T10:20:37.4020637Z triton_convolution2d_197 0.0492 ms 56.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:37.4022114Z triton_convolution2d_199 0.0543 ms 50.9% 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 2025-09-07T10:20:37.4028853Z triton_convolution2d_195 0.0614 ms 45.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:37.4030301Z triton_convolution2d_194 0.0696 ms 39.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:37.4031785Z triton_convolution2d_196 0.0922 ms 30.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:37.4032690Z conv1x1_via_mm 0.1034 ms 26.7% 2025-09-07T10:20:37.4033252Z SingleProcess AUTOTUNE benchmarking takes 0.1801 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:37.5580018Z Autotune Choices Stats: 2025-09-07T10:20:37.5581678Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.018432000651955605, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_convolution2d_205", "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"} 2025-09-07T10:20:37.5632035Z AUTOTUNE convolution(8x512x16x16, 640x512x1x1) 2025-09-07T10:20:37.5632416Z strides: [131072, 256, 16, 1], [512, 1, 1, 1] 2025-09-07T10:20:37.5632769Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:37.5633073Z convolution 0.0184 ms 100.0% 2025-09-07T10:20:37.5633946Z triton_convolution2d_205 0.0236 ms 78.3% 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 2025-09-07T10:20:37.5635678Z triton_convolution2d_206 0.0276 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:37.5637150Z triton_convolution2d_207 0.0287 ms 64.3% 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 2025-09-07T10:20:37.5638624Z triton_convolution2d_204 0.0297 ms 62.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:37.5640097Z triton_convolution2d_201 0.0358 ms 51.4% 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 2025-09-07T10:20:37.5641572Z triton_convolution2d_202 0.0358 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 2025-09-07T10:20:37.5643046Z triton_convolution2d_203 0.0522 ms 35.3% 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 2025-09-07T10:20:37.5643932Z conv1x1_via_mm 0.0819 ms 22.5% 2025-09-07T10:20:37.5644497Z SingleProcess AUTOTUNE benchmarking takes 0.1603 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:37.8262572Z Autotune Choices Stats: 2025-09-07T10:20:37.8263759Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_268", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:20:37.8317940Z AUTOTUNE bmm(32x256x256, 32x256x128) 2025-09-07T10:20:37.8318316Z strides: [65536, 256, 1], [32768, 1, 256] 2025-09-07T10:20:37.8318652Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:37.8319419Z triton_bmm_268 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 2025-09-07T10:20:37.8320633Z triton_bmm_259 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:20:37.8321829Z triton_bmm_261 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:20:37.8323013Z triton_bmm_262 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:20:37.8324208Z triton_bmm_263 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 2025-09-07T10:20:37.8325393Z triton_bmm_264 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 2025-09-07T10:20:37.8326584Z triton_bmm_267 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 2025-09-07T10:20:37.8327780Z triton_bmm_269 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:20:37.8328515Z bmm 0.0184 ms 88.9% 2025-09-07T10:20:37.8329389Z triton_bmm_265 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 2025-09-07T10:20:37.8330427Z SingleProcess AUTOTUNE benchmarking takes 0.2628 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:20:37.9889627Z Autotune Choices Stats: 2025-09-07T10:20:37.9891255Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.018432000651955605, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_convolution2d_274", "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"} 2025-09-07T10:20:37.9945155Z AUTOTUNE convolution(8x512x8x8, 2048x512x1x1) 2025-09-07T10:20:37.9945503Z strides: [32768, 64, 8, 1], [512, 1, 1, 1] 2025-09-07T10:20:37.9945845Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:37.9946182Z convolution 0.0184 ms 100.0% 2025-09-07T10:20:37.9947067Z triton_convolution2d_274 0.0236 ms 78.3% 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 2025-09-07T10:20:37.9948543Z triton_convolution2d_273 0.0276 ms 66.7% 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 2025-09-07T10:20:37.9950024Z triton_convolution2d_275 0.0276 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:37.9951479Z triton_convolution2d_276 0.0287 ms 64.3% 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 2025-09-07T10:20:37.9953192Z triton_convolution2d_271 0.0358 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 2025-09-07T10:20:37.9954654Z triton_convolution2d_270 0.0389 ms 47.4% 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 2025-09-07T10:20:37.9956123Z triton_convolution2d_272 0.0471 ms 39.1% 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 2025-09-07T10:20:37.9957023Z conv1x1_via_mm 0.0891 ms 20.7% 2025-09-07T10:20:37.9957584Z SingleProcess AUTOTUNE benchmarking takes 0.1621 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:38.1609880Z Autotune Choices Stats: 2025-09-07T10:20:38.1611543Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.04095999896526337, "best_triton_pos": 1, "best_triton_time": 0.04403200000524521, "best_triton_kernel": "triton_convolution2d_281", "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"} 2025-09-07T10:20:38.1664841Z AUTOTUNE convolution(8x1024x16x16, 2048x1024x1x1) 2025-09-07T10:20:38.1665305Z strides: [262144, 256, 16, 1], [1024, 1, 1, 1] 2025-09-07T10:20:38.1665655Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:38.1665976Z convolution 0.0410 ms 100.0% 2025-09-07T10:20:38.1666835Z triton_convolution2d_281 0.0440 ms 93.0% 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 2025-09-07T10:20:38.1668577Z triton_convolution2d_282 0.0532 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:38.1670068Z triton_convolution2d_280 0.0563 ms 72.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:38.1671544Z triton_convolution2d_277 0.0758 ms 54.1% 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 2025-09-07T10:20:38.1673016Z triton_convolution2d_283 0.0819 ms 50.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:38.1674493Z triton_convolution2d_278 0.0891 ms 46.0% 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 2025-09-07T10:20:38.1675980Z triton_convolution2d_279 0.5560 ms 7.4% 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 2025-09-07T10:20:38.1677145Z SingleProcess AUTOTUNE benchmarking takes 0.1706 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:20:38.3737533Z Autotune Choices Stats: 2025-09-07T10:20:38.3739182Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.018432000651955605, "best_triton_pos": 1, "best_triton_time": 0.05734400078654289, "best_triton_kernel": "triton_convolution2d_288", "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"} 2025-09-07T10:20:38.3792154Z AUTOTUNE convolution(8x2048x8x8, 512x2048x1x1) 2025-09-07T10:20:38.3792544Z strides: [131072, 64, 8, 1], [2048, 1, 1, 1] 2025-09-07T10:20:38.3792885Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:38.3793204Z convolution 0.0184 ms 100.0% 2025-09-07T10:20:38.3794083Z triton_convolution2d_288 0.0573 ms 32.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:38.3794984Z conv1x1_via_mm 0.0727 ms 25.4% 2025-09-07T10:20:38.3795859Z triton_convolution2d_287 0.0799 ms 23.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:38.3797341Z triton_convolution2d_290 0.0850 ms 21.7% 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 2025-09-07T10:20:38.3798826Z triton_convolution2d_289 0.0932 ms 19.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:20:38.3800293Z triton_convolution2d_285 0.1126 ms 16.4% 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 2025-09-07T10:20:38.3801761Z triton_convolution2d_284 0.1280 ms 14.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:20:38.3803240Z triton_convolution2d_286 0.1526 ms 12.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=512, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:20:38.3804577Z SingleProcess AUTOTUNE benchmarking takes 0.2114 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:38.5351953Z Autotune Choices Stats: 2025-09-07T10:20:38.5353601Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "best_triton_kernel": "triton_convolution2d_295", "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"} 2025-09-07T10:20:38.5417792Z AUTOTUNE convolution(8x512x8x8, 640x512x1x1) 2025-09-07T10:20:38.5418159Z strides: [32768, 64, 8, 1], [512, 1, 1, 1] 2025-09-07T10:20:38.5418497Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:38.5418817Z convolution 0.0123 ms 100.0% 2025-09-07T10:20:38.5419716Z triton_convolution2d_295 0.0195 ms 63.2% 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 2025-09-07T10:20:38.5421198Z triton_convolution2d_294 0.0266 ms 46.2% 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 2025-09-07T10:20:38.5422675Z triton_convolution2d_296 0.0266 ms 46.2% 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 2025-09-07T10:20:38.5424142Z triton_convolution2d_297 0.0276 ms 44.4% 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 2025-09-07T10:20:38.5425668Z triton_convolution2d_291 0.0338 ms 36.4% 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 2025-09-07T10:20:38.5427377Z triton_convolution2d_292 0.0348 ms 35.3% 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 2025-09-07T10:20:38.5428279Z conv1x1_via_mm 0.0430 ms 28.6% 2025-09-07T10:20:38.5429138Z triton_convolution2d_293 0.0430 ms 28.6% 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 2025-09-07T10:20:38.5430298Z SingleProcess AUTOTUNE benchmarking takes 0.1612 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:20:38.7350202Z Autotune Choices Stats: 2025-09-07T10:20:38.7351410Z {"num_choices": 14, "num_triton_choices": 13, "best_kernel": "triton_bmm_298", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:20:38.7410180Z AUTOTUNE bmm(32x64x16, 32x16x64) 2025-09-07T10:20:38.7410569Z strides: [1024, 1, 64], [1024, 64, 1] 2025-09-07T10:20:38.7410885Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:38.7411650Z triton_bmm_298 0.0072 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 2025-09-07T10:20:38.7413080Z triton_bmm_299 0.0072 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 2025-09-07T10:20:38.7414286Z triton_bmm_300 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:20:38.7415747Z triton_bmm_301 0.0072 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 2025-09-07T10:20:38.7416946Z triton_bmm_302 0.0072 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 2025-09-07T10:20:38.7418115Z triton_bmm_303 0.0072 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 2025-09-07T10:20:38.7419304Z triton_bmm_304 0.0072 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=8 2025-09-07T10:20:38.7420499Z triton_bmm_305 0.0072 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 2025-09-07T10:20:38.7421695Z triton_bmm_306 0.0072 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 2025-09-07T10:20:38.7422876Z triton_bmm_307 0.0072 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=8 2025-09-07T10:20:38.7423894Z SingleProcess AUTOTUNE benchmarking takes 0.1976 seconds and 0.0003 seconds precompiling for 14 choices 2025-09-07T10:20:38.9041635Z Autotune Choices Stats: 2025-09-07T10:20:38.9042802Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_311", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:20:38.9099853Z AUTOTUNE mm(2048x16, 16x15) 2025-09-07T10:20:38.9100204Z strides: [16, 1], [1, 16] 2025-09-07T10:20:38.9100488Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:38.9101257Z triton_mm_311 0.0072 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 2025-09-07T10:20:38.9102442Z triton_mm_312 0.0072 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 2025-09-07T10:20:38.9103621Z triton_mm_313 0.0072 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 2025-09-07T10:20:38.9104791Z triton_mm_314 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:20:38.9106033Z triton_mm_315 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:20:38.9107219Z triton_mm_316 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:20:38.9108389Z triton_mm_317 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:20:38.9109570Z triton_mm_318 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:20:38.9110750Z triton_mm_319 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:20:38.9112235Z triton_mm_320 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:20:38.9113269Z SingleProcess AUTOTUNE benchmarking takes 0.1682 seconds and 0.0003 seconds precompiling for 12 choices 2025-09-07T10:20:39.1558216Z Autotune Choices Stats: 2025-09-07T10:20:39.1559421Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_334", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:20:39.1617466Z AUTOTUNE bmm(32x64x64, 32x64x128) 2025-09-07T10:20:39.1617847Z strides: [4096, 64, 1], [8192, 1, 64] 2025-09-07T10:20:39.1618179Z dtypes: torch.float16, torch.float16 2025-09-07T10:20:39.1618987Z triton_bmm_334 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:20:39.1620200Z triton_bmm_339 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:20:39.1621392Z triton_bmm_340 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 2025-09-07T10:20:39.1622590Z triton_bmm_341 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 2025-09-07T10:20:39.1623781Z triton_bmm_346 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:20:39.1625342Z triton_bmm_347 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:20:39.1626621Z triton_bmm_333 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:20:39.1627795Z triton_bmm_335 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 2025-09-07T10:20:39.1628990Z triton_bmm_336 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 2025-09-07T10:20:39.1630174Z triton_bmm_337 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 2025-09-07T10:20:39.1631213Z SingleProcess AUTOTUNE benchmarking takes 0.2494 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:20:39.4825369Z Autotune Choices Stats: 2025-09-07T10:20:39.4826577Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_361", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:20:39.4886722Z AUTOTUNE addmm(8x1000, 8x2048, 2048x1000) 2025-09-07T10:20:39.4887103Z strides: [0, 1], [2048, 1], [1, 2048] 2025-09-07T10:20:39.4887465Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:20:39.4888273Z triton_mm_361 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:20:39.4889799Z triton_mm_365 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:20:39.4890574Z bias_addmm 0.0174 ms 76.5% 2025-09-07T10:20:39.4891296Z triton_mm_369 0.0184 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:20:39.4892551Z triton_mm_373 0.0184 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:20:39.4893581Z addmm 0.0205 ms 65.0% 2025-09-07T10:20:39.4894264Z triton_mm_360 0.0205 ms 65.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:20:39.4895429Z triton_mm_359 0.0215 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:20:39.4896598Z triton_mm_364 0.0215 ms 61.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:20:39.4897768Z triton_mm_358 0.0225 ms 59.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:20:39.4898785Z SingleProcess AUTOTUNE benchmarking takes 0.3236 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:21:01.8001913Z Autotune Choices Stats: 2025-09-07T10:21:01.8003114Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_393", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:21:01.8061845Z AUTOTUNE mm(1000x8, 8x2048) 2025-09-07T10:21:01.8062148Z strides: [1, 1000], [2048, 1] 2025-09-07T10:21:01.8062450Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:01.8063213Z triton_mm_393 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:01.8064408Z triton_mm_396 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 2025-09-07T10:21:01.8065678Z triton_mm_397 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:01.8066853Z triton_mm_398 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:01.8068051Z triton_mm_399 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:01.8069251Z triton_mm_400 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:01.8070440Z triton_mm_401 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:21:01.8071632Z triton_mm_402 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:01.8072821Z triton_mm_403 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 2025-09-07T10:21:01.8074266Z triton_mm_391 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 2025-09-07T10:21:01.8075283Z SingleProcess AUTOTUNE benchmarking takes 0.2169 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:21:02.5587605Z Autotune Choices Stats: 2025-09-07T10:21:02.5588816Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_382", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:21:02.5643355Z AUTOTUNE mm(8x1000, 1000x2048) 2025-09-07T10:21:02.5643794Z strides: [1000, 1], [2048, 1] 2025-09-07T10:21:02.5644100Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:02.5644911Z triton_mm_382 0.0123 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 2025-09-07T10:21:02.5646117Z triton_mm_378 0.0133 ms 92.3% 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=5, num_warps=2 2025-09-07T10:21:02.5647307Z triton_mm_386 0.0133 ms 92.3% 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 2025-09-07T10:21:02.5648484Z triton_mm_390 0.0133 ms 92.3% 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=5, num_warps=8 2025-09-07T10:21:02.5649229Z mm 0.0143 ms 85.7% 2025-09-07T10:21:02.5649923Z triton_mm_376 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:02.5651409Z triton_mm_377 0.0154 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=5, num_warps=2 2025-09-07T10:21:02.5652566Z triton_mm_381 0.0154 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 2025-09-07T10:21:02.5653965Z triton_mm_385 0.0154 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 2025-09-07T10:21:02.5655140Z triton_mm_388 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:21:02.5656159Z SingleProcess AUTOTUNE benchmarking takes 0.2470 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:21:02.7801201Z Autotune Choices Stats: 2025-09-07T10:21:02.7802375Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_411", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:21:02.7855318Z AUTOTUNE bmm(32x64x64, 32x64x128) 2025-09-07T10:21:02.7855653Z strides: [4096, 1, 64], [8192, 1, 64] 2025-09-07T10:21:02.7855975Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:02.7856723Z triton_bmm_411 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:02.7857923Z triton_bmm_414 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 2025-09-07T10:21:02.7859399Z triton_bmm_415 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 2025-09-07T10:21:02.7860591Z triton_bmm_420 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:02.7861778Z triton_bmm_421 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:02.7862961Z triton_bmm_407 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:21:02.7864119Z triton_bmm_408 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 2025-09-07T10:21:02.7865382Z triton_bmm_409 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 2025-09-07T10:21:02.7866558Z triton_bmm_410 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 2025-09-07T10:21:02.7867732Z triton_bmm_413 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 2025-09-07T10:21:02.7868760Z SingleProcess AUTOTUNE benchmarking takes 0.2206 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:21:02.9789015Z Autotune Choices Stats: 2025-09-07T10:21:02.9790257Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_425", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:21:02.9843620Z AUTOTUNE bmm(32x64x128, 32x128x64) 2025-09-07T10:21:02.9843987Z strides: [8192, 1, 64], [8192, 64, 1] 2025-09-07T10:21:02.9844303Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:02.9845081Z triton_bmm_425 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:02.9846290Z triton_bmm_426 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 2025-09-07T10:21:02.9847485Z triton_bmm_427 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 2025-09-07T10:21:02.9848706Z triton_bmm_428 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:02.9849900Z triton_bmm_431 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 2025-09-07T10:21:02.9851078Z triton_bmm_432 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:02.9852265Z triton_bmm_433 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:02.9853781Z triton_bmm_434 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 2025-09-07T10:21:02.9855273Z triton_bmm_435 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 2025-09-07T10:21:02.9856469Z triton_bmm_436 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:21:02.9857498Z SingleProcess AUTOTUNE benchmarking takes 0.1982 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:21:03.7498957Z Autotune Choices Stats: 2025-09-07T10:21:03.7500651Z {"num_choices": 16, "num_triton_choices": 11, "best_kernel": "decompose_k_mm_16_split_3", "best_kernel_desc": "k_split=16", "best_time": 0.01228800043463707, "best_triton_pos": 4, "best_triton_time": 0.02457600086927414, "best_triton_kernel": "triton_mm_442", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1"} 2025-09-07T10:21:03.7566401Z AUTOTUNE mm(15x2048, 2048x16) 2025-09-07T10:21:03.7566753Z strides: [1, 15], [16, 1] 2025-09-07T10:21:03.7567033Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:03.7567409Z decompose_k_mm_16_split_3 0.0123 ms 100.0% k_split=16 2025-09-07T10:21:03.7567785Z mm 0.0133 ms 92.3% 2025-09-07T10:21:03.7568082Z decompose_k_mm_8_split_2 0.0133 ms 92.3% k_split=8 2025-09-07T10:21:03.7568467Z decompose_k_mm_4_split_1 0.0195 ms 63.2% k_split=4 2025-09-07T10:21:03.7569267Z triton_mm_442 0.0246 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:21:03.7570444Z triton_mm_448 0.0246 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:21:03.7571237Z decompose_k_mm_2_split_0 0.0276 ms 44.4% k_split=2 2025-09-07T10:21:03.7572351Z triton_mm_440 0.0369 ms 33.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:21:03.7573777Z triton_mm_445 0.0389 ms 31.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:21:03.7574928Z triton_mm_449 0.0389 ms 31.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:21:03.7575936Z SingleProcess AUTOTUNE benchmarking takes 0.7717 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:21:03.9121829Z Autotune Choices Stats: 2025-09-07T10:21:03.9123015Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_450", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:21:03.9177691Z AUTOTUNE mm(2048x15, 15x16) 2025-09-07T10:21:03.9177992Z strides: [15, 1], [16, 1] 2025-09-07T10:21:03.9178305Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:03.9179069Z triton_mm_450 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:21:03.9180265Z triton_mm_451 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:21:03.9181451Z triton_mm_452 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:21:03.9182880Z triton_mm_453 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:03.9184136Z triton_mm_454 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:03.9185376Z triton_mm_455 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:03.9186562Z triton_mm_456 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:21:03.9187754Z triton_mm_458 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:03.9188958Z triton_mm_459 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:21:03.9190155Z triton_mm_460 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:03.9191183Z SingleProcess AUTOTUNE benchmarking takes 0.1507 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:21:04.0858195Z Autotune Choices Stats: 2025-09-07T10:21:04.0859332Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_bmm_485", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:21:04.0914583Z AUTOTUNE bmm(32x16x64, 32x64x64) 2025-09-07T10:21:04.0915303Z strides: [1024, 64, 1], [4096, 64, 1] 2025-09-07T10:21:04.0915628Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:04.0916416Z triton_bmm_485 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:04.0917622Z triton_bmm_486 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:21:04.0918798Z triton_bmm_490 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:04.0919995Z triton_bmm_491 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:04.0921178Z triton_bmm_492 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:04.0922365Z triton_bmm_493 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:21:04.0923548Z triton_bmm_494 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:21:04.0924297Z bmm 0.0082 ms 87.5% 2025-09-07T10:21:04.0924970Z triton_bmm_484 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:21:04.0926146Z triton_bmm_487 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:21:04.0927338Z SingleProcess AUTOTUNE benchmarking takes 0.1613 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:21:04.2364583Z Autotune Choices Stats: 2025-09-07T10:21:04.2365746Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_497", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:21:04.2421234Z AUTOTUNE bmm(32x64x64, 32x64x16) 2025-09-07T10:21:04.2421589Z strides: [4096, 64, 1], [1024, 1, 64] 2025-09-07T10:21:04.2421900Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:04.2422685Z triton_bmm_497 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:21:04.2423895Z triton_bmm_498 0.0072 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 2025-09-07T10:21:04.2425179Z triton_bmm_503 0.0072 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 2025-09-07T10:21:04.2426378Z triton_bmm_504 0.0072 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 2025-09-07T10:21:04.2427136Z bmm 0.0082 ms 87.5% 2025-09-07T10:21:04.2427814Z triton_bmm_495 0.0082 ms 87.5% 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 2025-09-07T10:21:04.2428999Z triton_bmm_496 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:21:04.2430403Z triton_bmm_499 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:04.2431577Z triton_bmm_500 0.0082 ms 87.5% 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 2025-09-07T10:21:04.2432750Z triton_bmm_501 0.0082 ms 87.5% 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 2025-09-07T10:21:04.2433771Z SingleProcess AUTOTUNE benchmarking takes 0.1501 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:21:04.4929536Z Autotune Choices Stats: 2025-09-07T10:21:04.4930733Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_515", "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} 2025-09-07T10:21:04.5005367Z AUTOTUNE bmm(32x256x256, 32x256x128) 2025-09-07T10:21:04.5005743Z strides: [65536, 1, 256], [32768, 1, 256] 2025-09-07T10:21:04.5006080Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:04.5006850Z triton_bmm_515 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 2025-09-07T10:21:04.5008067Z triton_bmm_521 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:04.5009272Z triton_bmm_522 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 2025-09-07T10:21:04.5010727Z triton_bmm_513 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:04.5011923Z triton_bmm_516 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:04.5013327Z triton_bmm_517 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 2025-09-07T10:21:04.5014505Z triton_bmm_518 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 2025-09-07T10:21:04.5015687Z triton_bmm_519 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 2025-09-07T10:21:04.5016886Z triton_bmm_523 0.0174 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:04.5017626Z bmm 0.0184 ms 88.9% 2025-09-07T10:21:04.5018154Z SingleProcess AUTOTUNE benchmarking takes 0.2576 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:21:04.7545790Z Autotune Choices Stats: 2025-09-07T10:21:04.7546952Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_533", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:21:04.7608747Z AUTOTUNE bmm(32x256x128, 32x128x256) 2025-09-07T10:21:04.7609124Z strides: [32768, 1, 256], [32768, 256, 1] 2025-09-07T10:21:04.7609465Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:04.7610593Z triton_bmm_533 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:04.7611810Z triton_bmm_536 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:04.7613286Z triton_bmm_530 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:04.7614476Z triton_bmm_535 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:04.7615658Z triton_bmm_539 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:04.7616857Z triton_bmm_529 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:04.7618049Z triton_bmm_534 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:04.7619237Z triton_bmm_537 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:04.7620424Z triton_bmm_538 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:21:04.7621174Z bmm 0.0174 ms 82.4% 2025-09-07T10:21:04.7621708Z SingleProcess AUTOTUNE benchmarking takes 0.2597 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:21:06.0090815Z Autotune Choices Stats: 2025-09-07T10:21:06.0093065Z {"num_choices": 18, "num_triton_choices": 11, "best_kernel": "decompose_k_mm_64_split_13", "best_kernel_desc": "k_split=64", "best_time": 0.014336000196635723, "best_triton_pos": 6, "best_triton_time": 0.08294399827718735, "best_triton_kernel": "triton_mm_551", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2"} 2025-09-07T10:21:06.0163339Z AUTOTUNE mm(31x8192, 8192x16) 2025-09-07T10:21:06.0163667Z strides: [1, 31], [16, 1] 2025-09-07T10:21:06.0163959Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:06.0164323Z decompose_k_mm_64_split_13 0.0143 ms 100.0% k_split=64 2025-09-07T10:21:06.0164745Z decompose_k_mm_32_split_12 0.0154 ms 93.3% k_split=32 2025-09-07T10:21:06.0165102Z mm 0.0174 ms 82.4% 2025-09-07T10:21:06.0165409Z decompose_k_mm_16_split_11 0.0215 ms 66.7% k_split=16 2025-09-07T10:21:06.0165831Z decompose_k_mm_8_split_10 0.0307 ms 46.7% k_split=8 2025-09-07T10:21:06.0166219Z decompose_k_mm_4_split_9 0.0492 ms 29.2% k_split=4 2025-09-07T10:21:06.0167023Z triton_mm_551 0.0829 ms 17.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2 2025-09-07T10:21:06.0168208Z triton_mm_545 0.0840 ms 17.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:21:06.0168999Z decompose_k_mm_2_split_8 0.0881 ms 16.3% k_split=2 2025-09-07T10:21:06.0169781Z triton_mm_548 0.1710 ms 8.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=2 2025-09-07T10:21:06.0170786Z SingleProcess AUTOTUNE benchmarking takes 1.2549 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:21:06.1850323Z Autotune Choices Stats: 2025-09-07T10:21:06.1851509Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_553", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:21:06.1912081Z AUTOTUNE mm(8192x31, 31x16) 2025-09-07T10:21:06.1912408Z strides: [31, 1], [16, 1] 2025-09-07T10:21:06.1912711Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:06.1913472Z triton_mm_553 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:21:06.1914656Z triton_mm_557 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:06.1915863Z triton_mm_561 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.1917067Z triton_mm_562 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:06.1918261Z triton_mm_563 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:21:06.1919003Z mm 0.0092 ms 88.9% 2025-09-07T10:21:06.1919690Z triton_mm_554 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:21:06.1920849Z triton_mm_555 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:21:06.1922244Z triton_mm_556 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:06.1923423Z triton_mm_558 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:06.1924439Z SingleProcess AUTOTUNE benchmarking takes 0.1650 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:21:06.4295797Z Autotune Choices Stats: 2025-09-07T10:21:06.4296989Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_589", "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=2, num_warps=2", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:21:06.4355851Z AUTOTUNE bmm(32x16x256, 32x256x256) 2025-09-07T10:21:06.4356256Z strides: [4096, 256, 1], [65536, 256, 1] 2025-09-07T10:21:06.4356594Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:06.4357352Z triton_bmm_589 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:21:06.4358560Z triton_bmm_590 0.0133 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 2025-09-07T10:21:06.4359750Z triton_bmm_591 0.0133 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 2025-09-07T10:21:06.4360929Z triton_bmm_595 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.4362425Z triton_bmm_597 0.0133 ms 100.0% 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=3, num_warps=4 2025-09-07T10:21:06.4363620Z triton_bmm_598 0.0133 ms 100.0% 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 2025-09-07T10:21:06.4364815Z triton_bmm_599 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.4366010Z triton_bmm_600 0.0133 ms 100.0% 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 2025-09-07T10:21:06.4367212Z triton_bmm_601 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.4368412Z triton_bmm_602 0.0133 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 2025-09-07T10:21:06.4369445Z SingleProcess AUTOTUNE benchmarking takes 0.2310 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:21:06.6484758Z Autotune Choices Stats: 2025-09-07T10:21:06.6485923Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_606", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:21:06.6546569Z AUTOTUNE bmm(32x256x256, 32x256x16) 2025-09-07T10:21:06.6546926Z strides: [65536, 256, 1], [4096, 1, 256] 2025-09-07T10:21:06.6547261Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:06.6548360Z triton_bmm_606 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:21:06.6549585Z triton_bmm_607 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:21:06.6550786Z triton_bmm_608 0.0133 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 2025-09-07T10:21:06.6551964Z triton_bmm_612 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.6553247Z triton_bmm_613 0.0133 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 2025-09-07T10:21:06.6554446Z triton_bmm_614 0.0133 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 2025-09-07T10:21:06.6555654Z triton_bmm_616 0.0133 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=3, num_warps=4 2025-09-07T10:21:06.6556857Z triton_bmm_617 0.0133 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=4, num_warps=8 2025-09-07T10:21:06.6558053Z triton_bmm_619 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.6559239Z triton_bmm_620 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:06.6560417Z SingleProcess AUTOTUNE benchmarking takes 0.2184 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:21:06.8977751Z Autotune Choices Stats: 2025-09-07T10:21:06.8978939Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_630", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:21:06.9041083Z AUTOTUNE bmm(32x256x256, 32x256x64) 2025-09-07T10:21:06.9041437Z strides: [65536, 1, 256], [16384, 1, 256] 2025-09-07T10:21:06.9041772Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:06.9042530Z triton_bmm_630 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.9043743Z triton_bmm_631 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:06.9044948Z triton_bmm_632 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.9046138Z triton_bmm_634 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.9047342Z triton_bmm_635 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:21:06.9048540Z triton_bmm_637 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:06.9049974Z triton_bmm_638 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:21:06.9050713Z bmm 0.0154 ms 93.3% 2025-09-07T10:21:06.9051410Z triton_bmm_622 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:06.9052591Z triton_bmm_628 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:06.9053831Z SingleProcess AUTOTUNE benchmarking takes 0.2488 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:21:07.1541140Z Autotune Choices Stats: 2025-09-07T10:21:07.1542316Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_bmm_644", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:21:07.1604515Z AUTOTUNE bmm(32x256x64, 32x64x256) 2025-09-07T10:21:07.1604880Z strides: [16384, 1, 256], [16384, 256, 1] 2025-09-07T10:21:07.1605219Z dtypes: torch.float16, torch.float16 2025-09-07T10:21:07.1605994Z triton_bmm_644 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:07.1607200Z triton_bmm_645 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:21:07.1608391Z triton_bmm_646 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:21:07.1609891Z triton_bmm_647 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:07.1611088Z triton_bmm_650 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:21:07.1612286Z triton_bmm_652 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 2025-09-07T10:21:07.1613782Z triton_bmm_643 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:21:07.1614977Z triton_bmm_648 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=3, num_warps=4 2025-09-07T10:21:07.1616170Z triton_bmm_649 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 2025-09-07T10:21:07.1617360Z triton_bmm_651 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=4, num_warps=4 2025-09-07T10:21:07.1618375Z SingleProcess AUTOTUNE benchmarking takes 0.2556 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:21:17.9193333Z W0907 10:21:17.918000 58433 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:21:35.1186681Z pass 2025-09-07T10:21:40.6317768Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:21:40.6325023Z import pynvml # type: ignore[import] 2025-09-07T10:21:44.2502992Z 2025-09-07T10:21:45.5462224Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:21:45.5462597Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:21:45.5462930Z cuda train eca_halonext26ts 2025-09-07T10:22:13.3518005Z Autotune Choices Stats: 2025-09-07T10:22:13.3519730Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01228800043463707, "best_triton_pos": 1, "best_triton_time": 0.014336000196635723, "best_triton_kernel": "triton_convolution2d_122", "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"} 2025-09-07T10:22:13.3583102Z AUTOTUNE convolution(8x256x16x16, 128x256x1x1) 2025-09-07T10:22:13.3583494Z strides: [65536, 256, 16, 1], [256, 1, 1, 1] 2025-09-07T10:22:13.3583871Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:13.3584203Z convolution 0.0123 ms 100.0% 2025-09-07T10:22:13.3585157Z triton_convolution2d_122 0.0143 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 2025-09-07T10:22:13.3586644Z triton_convolution2d_123 0.0154 ms 80.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:22:13.3588113Z triton_convolution2d_121 0.0184 ms 66.7% 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 2025-09-07T10:22:13.3589594Z triton_convolution2d_124 0.0184 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=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:22:13.3591417Z triton_convolution2d_118 0.0195 ms 63.2% 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 2025-09-07T10:22:13.3599864Z triton_convolution2d_119 0.0215 ms 57.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:22:13.3601443Z triton_convolution2d_120 0.0287 ms 42.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:22:13.3602365Z conv1x1_via_mm 0.0307 ms 40.0% 2025-09-07T10:22:13.3602946Z SingleProcess AUTOTUNE benchmarking takes 0.1585 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:22:13.5659129Z Autotune Choices Stats: 2025-09-07T10:22:13.5661665Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_132", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:22:13.5723400Z AUTOTUNE bmm(256x64x16, 256x16x144) 2025-09-07T10:22:13.5723771Z strides: [1024, 16, 1], [2304, 144, 1] 2025-09-07T10:22:13.5724104Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:13.5724871Z triton_bmm_132 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 2025-09-07T10:22:13.5726054Z triton_bmm_135 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=5, num_warps=8 2025-09-07T10:22:13.5727563Z triton_bmm_136 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=5, num_warps=4 2025-09-07T10:22:13.5728764Z triton_bmm_137 0.0113 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 2025-09-07T10:22:13.5729953Z triton_bmm_138 0.0113 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=8 2025-09-07T10:22:13.5731133Z triton_bmm_139 0.0113 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 2025-09-07T10:22:13.5732327Z triton_bmm_140 0.0113 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 2025-09-07T10:22:13.5733783Z triton_bmm_141 0.0113 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=4, num_warps=8 2025-09-07T10:22:13.5734970Z triton_bmm_142 0.0113 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=4, num_warps=4 2025-09-07T10:22:13.5736166Z triton_bmm_143 0.0113 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 2025-09-07T10:22:13.5737186Z SingleProcess AUTOTUNE benchmarking takes 0.2110 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T10:22:13.7648452Z Autotune Choices Stats: 2025-09-07T10:22:13.7649654Z {"num_choices": 15, "num_triton_choices": 14, "best_kernel": "triton_mm_147", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:22:13.7713299Z AUTOTUNE mm(16384x16, 16x23) 2025-09-07T10:22:13.7713594Z strides: [16, 1], [1, 16] 2025-09-07T10:22:13.7713882Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:13.7714659Z triton_mm_147 0.0082 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 2025-09-07T10:22:13.7715850Z triton_mm_148 0.0082 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 2025-09-07T10:22:13.7717032Z triton_mm_149 0.0082 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=5, num_warps=4 2025-09-07T10:22:13.7718212Z triton_mm_151 0.0082 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 2025-09-07T10:22:13.7719388Z triton_mm_152 0.0082 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 2025-09-07T10:22:13.7720559Z triton_mm_153 0.0082 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=3, num_warps=8 2025-09-07T10:22:13.7721737Z triton_mm_154 0.0082 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=3, num_warps=4 2025-09-07T10:22:13.7722912Z triton_mm_156 0.0082 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=4, num_warps=4 2025-09-07T10:22:13.7723659Z mm 0.0092 ms 88.9% 2025-09-07T10:22:13.7724528Z triton_mm_150 0.0092 ms 88.9% 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=5, num_warps=8 2025-09-07T10:22:13.7725550Z SingleProcess AUTOTUNE benchmarking takes 0.1983 seconds and 0.0002 seconds precompiling for 15 choices 2025-09-07T10:22:13.9759744Z Autotune Choices Stats: 2025-09-07T10:22:13.9760927Z {"num_choices": 15, "num_triton_choices": 14, "best_kernel": "triton_bmm_181", "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=2, num_warps=4", "best_time": 0.016383999958634377, "best_triton_pos": 0} 2025-09-07T10:22:13.9826035Z AUTOTUNE bmm(256x64x144, 256x144x32) 2025-09-07T10:22:13.9826419Z strides: [9216, 144, 1], [4608, 32, 1] 2025-09-07T10:22:13.9826740Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:13.9827553Z triton_bmm_181 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:13.9828766Z triton_bmm_183 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:13.9829958Z triton_bmm_184 0.0164 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:13.9830705Z bmm 0.0174 ms 94.1% 2025-09-07T10:22:13.9831410Z triton_bmm_176 0.0174 ms 94.1% 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 2025-09-07T10:22:13.9832594Z triton_bmm_177 0.0174 ms 94.1% 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 2025-09-07T10:22:13.9836505Z triton_bmm_178 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=5, num_warps=8 2025-09-07T10:22:13.9837696Z triton_bmm_182 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=8 2025-09-07T10:22:13.9838884Z triton_bmm_185 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 2025-09-07T10:22:13.9840067Z triton_bmm_187 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=8 2025-09-07T10:22:13.9841089Z SingleProcess AUTOTUNE benchmarking takes 0.2087 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:22:14.1215417Z Autotune Choices Stats: 2025-09-07T10:22:14.1216730Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_207", "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} 2025-09-07T10:22:14.1279723Z AUTOTUNE convolution(8x512x16x16, 128x512x1x1) 2025-09-07T10:22:14.1280123Z strides: [131072, 256, 16, 1], [512, 1, 1, 1] 2025-09-07T10:22:14.1280472Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:14.1281389Z triton_convolution2d_207 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 2025-09-07T10:22:14.1282288Z convolution 0.0246 ms 91.7% 2025-09-07T10:22:14.1283418Z triton_convolution2d_208 0.0256 ms 88.0% 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 2025-09-07T10:22:14.1284896Z triton_convolution2d_206 0.0317 ms 71.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:22:14.1286371Z triton_convolution2d_203 0.0358 ms 62.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:22:14.1287837Z triton_convolution2d_209 0.0451 ms 50.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:22:14.1289303Z triton_convolution2d_204 0.0492 ms 45.8% 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 2025-09-07T10:22:14.1290784Z triton_convolution2d_205 0.1444 ms 15.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:22:14.1291952Z SingleProcess AUTOTUNE benchmarking takes 0.1404 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:22:14.2974409Z Autotune Choices Stats: 2025-09-07T10:22:14.2975576Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_bmm_217", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:22:14.3037927Z AUTOTUNE bmm(256x16x16, 256x16x144) 2025-09-07T10:22:14.3038483Z strides: [256, 16, 1], [2304, 144, 1] 2025-09-07T10:22:14.3038813Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:14.3039570Z triton_bmm_217 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:22:14.3040772Z triton_bmm_218 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:22:14.3041955Z triton_bmm_219 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:14.3043139Z triton_bmm_220 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:14.3044337Z triton_bmm_221 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:14.3045518Z triton_bmm_222 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:14.3046706Z triton_bmm_223 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:14.3047891Z triton_bmm_224 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:14.3049084Z triton_bmm_225 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:14.3050424Z triton_bmm_226 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:14.3051453Z SingleProcess AUTOTUNE benchmarking takes 0.1726 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:22:14.4955213Z Autotune Choices Stats: 2025-09-07T10:22:14.4956404Z {"num_choices": 15, "num_triton_choices": 14, "best_kernel": "triton_mm_230", "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=2, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:22:14.5021119Z AUTOTUNE mm(4096x16, 16x23) 2025-09-07T10:22:14.5021521Z strides: [16, 1], [1, 16] 2025-09-07T10:22:14.5021871Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:14.5022824Z triton_mm_230 0.0072 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 2025-09-07T10:22:14.5024156Z triton_mm_232 0.0072 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 2025-09-07T10:22:14.5025394Z triton_mm_233 0.0072 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 2025-09-07T10:22:14.5026571Z triton_mm_234 0.0072 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 2025-09-07T10:22:14.5027742Z triton_mm_235 0.0072 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=3, num_warps=8 2025-09-07T10:22:14.5028898Z triton_mm_236 0.0072 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=3, num_warps=4 2025-09-07T10:22:14.5030320Z triton_mm_237 0.0072 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=4, num_warps=8 2025-09-07T10:22:14.5031490Z triton_mm_238 0.0072 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=4, num_warps=4 2025-09-07T10:22:14.5032232Z mm 0.0082 ms 87.5% 2025-09-07T10:22:14.5032910Z triton_mm_229 0.0082 ms 87.5% 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 2025-09-07T10:22:14.5033918Z SingleProcess AUTOTUNE benchmarking takes 0.1976 seconds and 0.0002 seconds precompiling for 15 choices 2025-09-07T10:22:14.6887643Z Autotune Choices Stats: 2025-09-07T10:22:14.6888846Z {"num_choices": 14, "num_triton_choices": 13, "best_kernel": "triton_bmm_259", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:22:14.6960837Z AUTOTUNE bmm(256x16x144, 256x144x64) 2025-09-07T10:22:14.6961230Z strides: [2304, 144, 1], [9216, 64, 1] 2025-09-07T10:22:14.6961577Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:14.6962348Z triton_bmm_259 0.0143 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 2025-09-07T10:22:14.6963562Z triton_bmm_260 0.0143 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 2025-09-07T10:22:14.6965079Z triton_bmm_263 0.0143 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 2025-09-07T10:22:14.6966303Z triton_bmm_264 0.0143 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 2025-09-07T10:22:14.6967510Z triton_bmm_266 0.0143 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 2025-09-07T10:22:14.6968707Z triton_bmm_267 0.0143 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 2025-09-07T10:22:14.6969888Z triton_bmm_269 0.0143 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 2025-09-07T10:22:14.6971098Z triton_bmm_258 0.0154 ms 93.3% 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 2025-09-07T10:22:14.6972295Z triton_bmm_268 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:14.6973286Z bmm 0.0164 ms 87.5% 2025-09-07T10:22:14.6973823Z SingleProcess AUTOTUNE benchmarking takes 0.1915 seconds and 0.0002 seconds precompiling for 14 choices 2025-09-07T10:22:14.8549677Z Autotune Choices Stats: 2025-09-07T10:22:14.8551300Z {"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_295", "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"} 2025-09-07T10:22:14.8615057Z AUTOTUNE convolution(8x512x8x8, 128x512x1x1) 2025-09-07T10:22:14.8615462Z strides: [32768, 64, 8, 1], [512, 1, 1, 1] 2025-09-07T10:22:14.8615810Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:14.8616140Z convolution 0.0113 ms 100.0% 2025-09-07T10:22:14.8617018Z triton_convolution2d_295 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 2025-09-07T10:22:14.8618500Z triton_convolution2d_296 0.0225 ms 50.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:22:14.8619977Z triton_convolution2d_294 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 2025-09-07T10:22:14.8621475Z triton_convolution2d_297 0.0266 ms 42.3% 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 2025-09-07T10:22:14.8622371Z conv1x1_via_mm 0.0276 ms 40.7% 2025-09-07T10:22:14.8623246Z triton_convolution2d_291 0.0297 ms 37.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:22:14.8624708Z triton_convolution2d_292 0.0358 ms 31.4% 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 2025-09-07T10:22:14.8626253Z triton_convolution2d_293 0.0420 ms 26.8% 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 2025-09-07T10:22:14.8627833Z SingleProcess AUTOTUNE benchmarking takes 0.1573 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:22:15.0673015Z Autotune Choices Stats: 2025-09-07T10:22:15.0674203Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_305", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:22:15.0739373Z AUTOTUNE bmm(64x64x16, 64x16x144) 2025-09-07T10:22:15.0739724Z strides: [1024, 1, 64], [2304, 144, 1] 2025-09-07T10:22:15.0740057Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:15.0740817Z triton_bmm_305 0.0082 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 2025-09-07T10:22:15.0742047Z triton_bmm_306 0.0082 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 2025-09-07T10:22:15.0743238Z triton_bmm_307 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:15.0744426Z triton_bmm_308 0.0082 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 2025-09-07T10:22:15.0745689Z triton_bmm_309 0.0082 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 2025-09-07T10:22:15.0746878Z triton_bmm_310 0.0082 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 2025-09-07T10:22:15.0748296Z triton_bmm_311 0.0082 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=8 2025-09-07T10:22:15.0749472Z triton_bmm_312 0.0082 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 2025-09-07T10:22:15.0750674Z triton_bmm_313 0.0082 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 2025-09-07T10:22:15.0751872Z triton_bmm_314 0.0082 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=4, num_warps=8 2025-09-07T10:22:15.0752901Z SingleProcess AUTOTUNE benchmarking takes 0.2086 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:22:15.2814839Z Autotune Choices Stats: 2025-09-07T10:22:15.2816039Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_350", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:22:15.2881637Z AUTOTUNE bmm(64x64x144, 64x144x64) 2025-09-07T10:22:15.2881971Z strides: [9216, 144, 1], [9216, 1, 144] 2025-09-07T10:22:15.2882302Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:15.2883058Z triton_bmm_350 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:15.2884259Z triton_bmm_355 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:22:15.2885721Z triton_bmm_356 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 2025-09-07T10:22:15.2886927Z triton_bmm_357 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=3, num_warps=4 2025-09-07T10:22:15.2888121Z triton_bmm_358 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=4, num_warps=8 2025-09-07T10:22:15.2889318Z triton_bmm_359 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:15.2890522Z triton_bmm_360 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=4, num_warps=4 2025-09-07T10:22:15.2891723Z triton_bmm_362 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:15.2892477Z bmm 0.0123 ms 91.7% 2025-09-07T10:22:15.2893395Z triton_bmm_349 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 2025-09-07T10:22:15.2894427Z SingleProcess AUTOTUNE benchmarking takes 0.2099 seconds and 0.0002 seconds precompiling for 16 choices 2025-09-07T10:22:40.1932369Z Autotune Choices Stats: 2025-09-07T10:22:40.1933783Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_421", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:22:40.2002883Z AUTOTUNE bmm(64x144x64, 64x64x64) 2025-09-07T10:22:40.2003226Z strides: [9216, 1, 144], [4096, 1, 64] 2025-09-07T10:22:40.2003553Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:40.2004308Z triton_bmm_421 0.0102 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 2025-09-07T10:22:40.2005512Z triton_bmm_424 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=5, num_warps=4 2025-09-07T10:22:40.2006708Z triton_bmm_426 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 2025-09-07T10:22:40.2007903Z triton_bmm_427 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 2025-09-07T10:22:40.2009097Z triton_bmm_428 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=5, num_warps=4 2025-09-07T10:22:40.2010277Z triton_bmm_429 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=3, num_warps=4 2025-09-07T10:22:40.2011454Z triton_bmm_430 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=4, num_warps=8 2025-09-07T10:22:40.2012639Z triton_bmm_431 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=4 2025-09-07T10:22:40.2013928Z triton_bmm_432 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=4, num_warps=4 2025-09-07T10:22:40.2014932Z bmm 0.0113 ms 90.9% 2025-09-07T10:22:40.2015475Z SingleProcess AUTOTUNE benchmarking takes 0.2547 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:22:40.4218655Z Autotune Choices Stats: 2025-09-07T10:22:40.4219838Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_439", "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": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:22:40.4287599Z AUTOTUNE bmm(64x64x64, 64x64x144) 2025-09-07T10:22:40.4287928Z strides: [4096, 1, 64], [9216, 144, 1] 2025-09-07T10:22:40.4288251Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:40.4289016Z triton_bmm_439 0.0102 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 2025-09-07T10:22:40.4290246Z triton_bmm_442 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=5, num_warps=4 2025-09-07T10:22:40.4291439Z triton_bmm_444 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 2025-09-07T10:22:40.4292612Z triton_bmm_445 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 2025-09-07T10:22:40.4294013Z triton_bmm_446 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=5, num_warps=4 2025-09-07T10:22:40.4295205Z triton_bmm_451 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=3, num_warps=4 2025-09-07T10:22:40.4296687Z triton_bmm_452 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=4, num_warps=8 2025-09-07T10:22:40.4297436Z bmm 0.0113 ms 90.9% 2025-09-07T10:22:40.4298126Z triton_bmm_438 0.0113 ms 90.9% 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 2025-09-07T10:22:40.4299294Z triton_bmm_440 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 2025-09-07T10:22:40.4300298Z SingleProcess AUTOTUNE benchmarking takes 0.2278 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:22:42.1050416Z Autotune Choices Stats: 2025-09-07T10:22:42.1052120Z {"num_choices": 17, "num_triton_choices": 11, "best_kernel": "decompose_k_mm_32_split_4", "best_kernel_desc": "k_split=32", "best_time": 0.01228800043463707, "best_triton_pos": 5, "best_triton_time": 0.04403200000524521, "best_triton_kernel": "triton_mm_458", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-07T10:22:42.1133221Z AUTOTUNE mm(23x4096, 4096x16) 2025-09-07T10:22:42.1133591Z strides: [1, 23], [16, 1] 2025-09-07T10:22:42.1133887Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:42.1134249Z decompose_k_mm_32_split_4 0.0123 ms 100.0% k_split=32 2025-09-07T10:22:42.1134621Z mm 0.0133 ms 92.3% 2025-09-07T10:22:42.1134928Z decompose_k_mm_16_split_3 0.0143 ms 85.7% k_split=16 2025-09-07T10:22:42.1135340Z decompose_k_mm_8_split_2 0.0205 ms 60.0% k_split=8 2025-09-07T10:22:42.1135740Z decompose_k_mm_4_split_1 0.0297 ms 41.4% k_split=4 2025-09-07T10:22:42.1136864Z triton_mm_458 0.0440 ms 27.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:42.1138070Z triton_mm_464 0.0440 ms 27.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2 2025-09-07T10:22:42.1138871Z decompose_k_mm_2_split_0 0.0481 ms 25.5% k_split=2 2025-09-07T10:22:42.1139655Z triton_mm_461 0.0850 ms 14.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=2 2025-09-07T10:22:42.1140819Z triton_mm_465 0.0850 ms 14.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:42.1141814Z SingleProcess AUTOTUNE benchmarking takes 1.6839 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:22:42.2821793Z Autotune Choices Stats: 2025-09-07T10:22:42.2823032Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_470", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:22:42.2895078Z AUTOTUNE mm(4096x23, 23x16) 2025-09-07T10:22:42.2895391Z strides: [23, 1], [16, 1] 2025-09-07T10:22:42.2895673Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:42.2896443Z triton_mm_470 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:42.2897198Z mm 0.0082 ms 87.5% 2025-09-07T10:22:42.2897897Z triton_mm_466 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:22:42.2899408Z triton_mm_467 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:22:42.2900583Z triton_mm_468 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:42.2901746Z triton_mm_469 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:42.2903099Z triton_mm_471 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:42.2904273Z triton_mm_472 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:42.2905521Z triton_mm_473 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:42.2906701Z triton_mm_474 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:42.2907722Z SingleProcess AUTOTUNE benchmarking takes 0.1668 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:22:42.5196900Z Autotune Choices Stats: 2025-09-07T10:22:42.5198053Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_502", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:22:42.5271179Z AUTOTUNE bmm(64x16x64, 64x64x144) 2025-09-07T10:22:42.5271554Z strides: [1024, 64, 1], [9216, 144, 1] 2025-09-07T10:22:42.5272185Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:42.5272972Z triton_bmm_502 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:22:42.5274174Z triton_bmm_503 0.0092 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 2025-09-07T10:22:42.5275351Z triton_bmm_504 0.0092 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 2025-09-07T10:22:42.5276539Z triton_bmm_505 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:42.5277721Z triton_bmm_507 0.0092 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=2, num_warps=4 2025-09-07T10:22:42.5278912Z triton_bmm_508 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:42.5280091Z triton_bmm_509 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:42.5281287Z triton_bmm_510 0.0092 ms 100.0% 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=3, num_warps=4 2025-09-07T10:22:42.5282479Z triton_bmm_511 0.0092 ms 100.0% 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 2025-09-07T10:22:42.5283784Z triton_bmm_512 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:42.5284818Z SingleProcess AUTOTUNE benchmarking takes 0.2237 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:22:42.6857508Z Autotune Choices Stats: 2025-09-07T10:22:42.6858679Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_bmm_520", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:22:42.6932297Z AUTOTUNE bmm(64x64x144, 64x144x16) 2025-09-07T10:22:42.6932640Z strides: [9216, 144, 1], [2304, 1, 144] 2025-09-07T10:22:42.6933145Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:42.6933917Z triton_bmm_520 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:42.6935150Z triton_bmm_521 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:42.6936342Z triton_bmm_522 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:42.6937543Z triton_bmm_525 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:42.6938739Z triton_bmm_526 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:42.6940136Z triton_bmm_527 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:42.6941345Z triton_bmm_529 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:42.6942097Z bmm 0.0102 ms 90.0% 2025-09-07T10:22:42.6942788Z triton_bmm_519 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:22:42.6943984Z triton_bmm_528 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:42.6945109Z SingleProcess AUTOTUNE benchmarking takes 0.1655 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:22:42.8893343Z Autotune Choices Stats: 2025-09-07T10:22:42.8894518Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_bmm_535", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:22:42.8967268Z AUTOTUNE bmm(256x144x16, 256x16x64) 2025-09-07T10:22:42.8967621Z strides: [2304, 1, 144], [1024, 64, 1] 2025-09-07T10:22:42.8967932Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:42.8968702Z triton_bmm_535 0.0102 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 2025-09-07T10:22:42.8969896Z triton_bmm_536 0.0102 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=8 2025-09-07T10:22:42.8971089Z triton_bmm_537 0.0102 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 2025-09-07T10:22:42.8972547Z triton_bmm_538 0.0102 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 2025-09-07T10:22:42.8973898Z triton_bmm_539 0.0102 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=8 2025-09-07T10:22:42.8975073Z triton_bmm_540 0.0102 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 2025-09-07T10:22:42.8976261Z triton_bmm_530 0.0113 ms 90.9% 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 2025-09-07T10:22:42.8977449Z triton_bmm_531 0.0113 ms 90.9% 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=2, num_warps=4 2025-09-07T10:22:42.8978627Z triton_bmm_532 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:42.8979802Z triton_bmm_534 0.0113 ms 90.9% 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=5, num_warps=4 2025-09-07T10:22:42.8980827Z SingleProcess AUTOTUNE benchmarking takes 0.2029 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T10:22:43.1239788Z Autotune Choices Stats: 2025-09-07T10:22:43.1240972Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_546", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:22:43.1320998Z AUTOTUNE bmm(256x16x64, 256x64x144) 2025-09-07T10:22:43.1321394Z strides: [1024, 64, 1], [9216, 1, 64] 2025-09-07T10:22:43.1321719Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:43.1322497Z triton_bmm_546 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:22:43.1323707Z triton_bmm_547 0.0143 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 2025-09-07T10:22:43.1324888Z triton_bmm_548 0.0143 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 2025-09-07T10:22:43.1326062Z triton_bmm_549 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:43.1327257Z triton_bmm_551 0.0143 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=2, num_warps=4 2025-09-07T10:22:43.1328437Z triton_bmm_552 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:43.1329619Z triton_bmm_553 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:43.1330809Z triton_bmm_555 0.0143 ms 100.0% 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 2025-09-07T10:22:43.1332004Z triton_bmm_556 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:43.1333578Z triton_bmm_557 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:43.1334596Z SingleProcess AUTOTUNE benchmarking takes 0.2346 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:22:43.3149266Z Autotune Choices Stats: 2025-09-07T10:22:43.3150454Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_bmm_608", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:22:43.3223815Z AUTOTUNE bmm(256x16x16, 256x16x144) 2025-09-07T10:22:43.3224184Z strides: [256, 1, 16], [2304, 144, 1] 2025-09-07T10:22:43.3224521Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:43.3225358Z triton_bmm_608 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:22:43.3226563Z triton_bmm_609 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:22:43.3227762Z triton_bmm_610 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:43.3228965Z triton_bmm_611 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:43.3230146Z triton_bmm_612 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:43.3231632Z triton_bmm_613 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:43.3232819Z triton_bmm_614 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:43.3234019Z triton_bmm_615 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:22:43.3235211Z triton_bmm_616 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:43.3236404Z triton_bmm_617 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:43.3237433Z SingleProcess AUTOTUNE benchmarking takes 0.1642 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:22:43.4707769Z Autotune Choices Stats: 2025-09-07T10:22:43.4708955Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_bmm_622", "best_kernel_desc": "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", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:22:43.4784116Z AUTOTUNE bmm(256x16x144, 256x144x16) 2025-09-07T10:22:43.4784469Z strides: [2304, 144, 1], [2304, 1, 144] 2025-09-07T10:22:43.4784804Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:43.4785668Z triton_bmm_622 0.0102 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 2025-09-07T10:22:43.4787089Z triton_bmm_623 0.0102 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 2025-09-07T10:22:43.4788296Z triton_bmm_626 0.0102 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 2025-09-07T10:22:43.4789483Z triton_bmm_627 0.0102 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=3, num_warps=1 2025-09-07T10:22:43.4790682Z triton_bmm_628 0.0102 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 2025-09-07T10:22:43.4791884Z triton_bmm_629 0.0102 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 2025-09-07T10:22:43.4793090Z triton_bmm_630 0.0102 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 2025-09-07T10:22:43.4793836Z bmm 0.0113 ms 90.9% 2025-09-07T10:22:43.4794534Z triton_bmm_621 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:22:43.4795707Z triton_bmm_625 0.0113 ms 90.9% 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=2, num_warps=1 2025-09-07T10:22:43.4796723Z SingleProcess AUTOTUNE benchmarking takes 0.1555 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:22:43.7111218Z Autotune Choices Stats: 2025-09-07T10:22:43.7112692Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_631", "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": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:22:43.7189986Z AUTOTUNE bmm(256x144x64, 256x64x32) 2025-09-07T10:22:43.7190328Z strides: [9216, 1, 144], [2048, 32, 1] 2025-09-07T10:22:43.7190654Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:43.7191404Z triton_bmm_631 0.0154 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 2025-09-07T10:22:43.7192606Z triton_bmm_636 0.0154 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 2025-09-07T10:22:43.7193793Z triton_bmm_637 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 2025-09-07T10:22:43.7194995Z triton_bmm_639 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 2025-09-07T10:22:43.7196177Z triton_bmm_643 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 2025-09-07T10:22:43.7197375Z triton_bmm_646 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:43.7198135Z bmm 0.0164 ms 93.7% 2025-09-07T10:22:43.7198812Z triton_bmm_632 0.0164 ms 93.7% 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 2025-09-07T10:22:43.7200205Z triton_bmm_633 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 2025-09-07T10:22:43.7201381Z triton_bmm_634 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 2025-09-07T10:22:43.7202400Z SingleProcess AUTOTUNE benchmarking takes 0.2398 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:22:43.9310508Z Autotune Choices Stats: 2025-09-07T10:22:43.9311669Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_650", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:22:43.9391035Z AUTOTUNE bmm(256x64x32, 256x32x144) 2025-09-07T10:22:43.9391415Z strides: [2048, 32, 1], [4608, 1, 32] 2025-09-07T10:22:43.9391743Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:43.9392530Z triton_bmm_650 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:43.9393739Z triton_bmm_651 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:22:43.9394936Z triton_bmm_652 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:43.9396104Z triton_bmm_654 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:43.9397563Z triton_bmm_655 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:22:43.9398757Z triton_bmm_656 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:43.9399950Z triton_bmm_657 0.0133 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 2025-09-07T10:22:43.9401148Z triton_bmm_658 0.0133 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 2025-09-07T10:22:43.9402343Z triton_bmm_659 0.0133 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 2025-09-07T10:22:43.9403543Z triton_bmm_660 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:43.9404550Z SingleProcess AUTOTUNE benchmarking takes 0.2194 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:22:44.9153846Z Autotune Choices Stats: 2025-09-07T10:22:44.9155564Z {"num_choices": 19, "num_triton_choices": 11, "best_kernel": "decompose_k_mm_128_split_26", "best_kernel_desc": "k_split=128", "best_time": 0.015359999611973763, "best_triton_pos": 7, "best_triton_time": 0.15564799308776855, "best_triton_kernel": "triton_mm_673", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2"} 2025-09-07T10:22:44.9246132Z AUTOTUNE mm(23x16384, 16384x16) 2025-09-07T10:22:44.9246476Z strides: [1, 23], [16, 1] 2025-09-07T10:22:44.9246774Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:44.9247486Z decompose_k_mm_128_split_26 0.0154 ms 100.0% k_split=128 2025-09-07T10:22:44.9247937Z decompose_k_mm_64_split_25 0.0174 ms 88.2% k_split=64 2025-09-07T10:22:44.9248283Z mm 0.0205 ms 75.0% 2025-09-07T10:22:44.9248590Z decompose_k_mm_32_split_24 0.0215 ms 71.4% k_split=32 2025-09-07T10:22:44.9248996Z decompose_k_mm_16_split_23 0.0307 ms 50.0% k_split=16 2025-09-07T10:22:44.9249410Z decompose_k_mm_8_split_22 0.0502 ms 30.6% k_split=8 2025-09-07T10:22:44.9249796Z decompose_k_mm_4_split_21 0.0870 ms 17.6% k_split=4 2025-09-07T10:22:44.9250599Z triton_mm_673 0.1556 ms 9.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2 2025-09-07T10:22:44.9251787Z triton_mm_667 0.1567 ms 9.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:44.9252589Z decompose_k_mm_2_split_20 0.1628 ms 9.4% k_split=2 2025-09-07T10:22:44.9253583Z SingleProcess AUTOTUNE benchmarking takes 0.9849 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:22:45.0938586Z Autotune Choices Stats: 2025-09-07T10:22:45.0939771Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_675", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:22:45.1018170Z AUTOTUNE mm(16384x23, 23x16) 2025-09-07T10:22:45.1018485Z strides: [23, 1], [16, 1] 2025-09-07T10:22:45.1018774Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:45.1019534Z triton_mm_675 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:22:45.1021009Z triton_mm_679 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:45.1021782Z mm 0.0092 ms 88.9% 2025-09-07T10:22:45.1022480Z triton_mm_676 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:22:45.1023654Z triton_mm_677 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:45.1024824Z triton_mm_678 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:45.1026072Z triton_mm_680 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:45.1027246Z triton_mm_681 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:45.1028416Z triton_mm_682 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:45.1029598Z triton_mm_683 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:45.1030626Z SingleProcess AUTOTUNE benchmarking takes 0.1672 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:22:45.3448309Z Autotune Choices Stats: 2025-09-07T10:22:45.3449550Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_bmm_710", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:22:45.3531720Z AUTOTUNE bmm(256x16x64, 256x64x144) 2025-09-07T10:22:45.3532080Z strides: [1024, 1, 16], [9216, 144, 1] 2025-09-07T10:22:45.3532407Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:45.3533293Z triton_bmm_710 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:22:45.3534504Z triton_bmm_711 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:22:45.3535693Z triton_bmm_712 0.0143 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 2025-09-07T10:22:45.3536891Z triton_bmm_714 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:45.3538083Z triton_bmm_715 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:45.3539281Z triton_bmm_716 0.0143 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=2, num_warps=4 2025-09-07T10:22:45.3540470Z triton_bmm_717 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:45.3541635Z triton_bmm_718 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:45.3543017Z triton_bmm_719 0.0143 ms 100.0% 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=3, num_warps=4 2025-09-07T10:22:45.3544221Z triton_bmm_720 0.0143 ms 100.0% 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 2025-09-07T10:22:45.3545330Z SingleProcess AUTOTUNE benchmarking takes 0.2362 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:22:45.4874475Z Autotune Choices Stats: 2025-09-07T10:22:45.4875652Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_bmm_728", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2", "best_time": 0.015359999611973763, "best_triton_pos": 0} 2025-09-07T10:22:45.4955359Z AUTOTUNE bmm(256x64x144, 256x144x16) 2025-09-07T10:22:45.4955709Z strides: [9216, 144, 1], [2304, 1, 144] 2025-09-07T10:22:45.4956052Z dtypes: torch.float16, torch.float16 2025-09-07T10:22:45.4956833Z triton_bmm_728 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:22:45.4958060Z triton_bmm_729 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:22:45.4959261Z triton_bmm_730 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:45.4960447Z triton_bmm_733 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:22:45.4961648Z triton_bmm_734 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:45.4963126Z triton_bmm_735 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:22:45.4964323Z triton_bmm_736 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:22:45.4965522Z triton_bmm_738 0.0154 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:22:45.4966276Z bmm 0.0164 ms 93.7% 2025-09-07T10:22:45.4966964Z triton_bmm_727 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:22:45.4967984Z SingleProcess AUTOTUNE benchmarking takes 0.1416 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:22:54.0063791Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 442, in torch_dynamo_resume_in_forward_and_backward_pass_at_440 2025-09-07T10:22:54.0065127Z pred = mod(*cloned_inputs) 2025-09-07T10:22:54.0065722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward 2025-09-07T10:22:54.0066331Z x = self.forward_features(x) 2025-09-07T10:22:54.0066943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features 2025-09-07T10:22:54.0067563Z x = self.stages(x) 2025-09-07T10:22:54.0068085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 894, in forward 2025-09-07T10:22:54.0068696Z x = self.self_attn(x) 2025-09-07T10:22:54.0069676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/halo_attn.py", line 191, in forward 2025-09-07T10:22:54.0070471Z kv = kv.unfold(2, self.win_size, self.block_size).unfold(3, self.win_size, self.block_size).reshape( 2025-09-07T10:22:54.0070911Z 2025-09-07T10:22:54.0070916Z 2025-09-07T10:22:57.2918380Z W0907 10:22:57.290000 67850 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:23:15.4249695Z pass 2025-09-07T10:23:20.7002323Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:23:20.7003735Z import pynvml # type: ignore[import] 2025-09-07T10:23:23.9928391Z 2025-09-07T10:23:25.1101697Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:23:25.1102118Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:23:25.1102449Z cuda train ese_vovnet19b_dw 2025-09-07T10:23:45.9479817Z Autotune Choices Stats: 2025-09-07T10:23:45.9481498Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.02969600073993206, "best_triton_pos": 1, "best_triton_time": 0.04505600035190582, "best_triton_kernel": "triton_convolution2d_4", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:23:45.9555921Z AUTOTUNE convolution(8x3x224x224, 64x3x3x3) 2025-09-07T10:23:45.9556347Z strides: [150528, 1, 672, 3], [27, 1, 9, 3] 2025-09-07T10:23:45.9556690Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:45.9557007Z convolution 0.0297 ms 100.0% 2025-09-07T10:23:45.9558285Z triton_convolution2d_4 0.0451 ms 65.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:23:45.9559753Z triton_convolution2d_0 0.0471 ms 63.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:23:45.9561208Z triton_convolution2d_3 0.0502 ms 59.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:23:45.9562668Z triton_convolution2d_5 0.0594 ms 50.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:23:45.9564143Z triton_convolution2d_2 0.0645 ms 46.0% 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 2025-09-07T10:23:45.9565611Z triton_convolution2d_1 0.0860 ms 34.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:23:45.9566760Z SingleProcess AUTOTUNE benchmarking takes 0.1390 seconds and 0.0003 seconds precompiling for 7 choices 2025-09-07T10:23:46.2433509Z Autotune Choices Stats: 2025-09-07T10:23:46.2434684Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_22", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.02457600086927414, "best_triton_pos": 0} 2025-09-07T10:23:46.2511200Z AUTOTUNE mm(100352x64, 64x64) 2025-09-07T10:23:46.2511595Z strides: [64, 1], [1, 64] 2025-09-07T10:23:46.2512222Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:46.2512986Z triton_mm_22 0.0246 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:46.2514173Z triton_mm_13 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 2025-09-07T10:23:46.2515340Z triton_mm_14 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=5, num_warps=4 2025-09-07T10:23:46.2516502Z triton_mm_17 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=4 2025-09-07T10:23:46.2517659Z triton_mm_18 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=4, num_warps=4 2025-09-07T10:23:46.2518832Z triton_mm_23 0.0256 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:23:46.2520001Z triton_mm_10 0.0266 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:46.2521142Z triton_mm_7 0.0287 ms 85.7% 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 2025-09-07T10:23:46.2522299Z triton_mm_19 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 2025-09-07T10:23:46.2523615Z triton_mm_12 0.0297 ms 82.8% 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 2025-09-07T10:23:46.2524716Z SingleProcess AUTOTUNE benchmarking takes 0.2943 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:23:46.5151033Z Autotune Choices Stats: 2025-09-07T10:23:46.5152226Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_31", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:23:46.5228957Z AUTOTUNE mm(25088x64, 64x64) 2025-09-07T10:23:46.5229288Z strides: [64, 1], [1, 64] 2025-09-07T10:23:46.5229584Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:46.5230336Z triton_mm_31 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:23:46.5231553Z triton_mm_39 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=2, num_warps=8 2025-09-07T10:23:46.5232729Z triton_mm_25 0.0133 ms 92.3% 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 2025-09-07T10:23:46.5233889Z triton_mm_28 0.0133 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:46.5235043Z triton_mm_30 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 2025-09-07T10:23:46.5236196Z triton_mm_32 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=5, num_warps=4 2025-09-07T10:23:46.5237596Z triton_mm_33 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=3, num_warps=4 2025-09-07T10:23:46.5238759Z triton_mm_34 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=4, num_warps=8 2025-09-07T10:23:46.5239920Z triton_mm_35 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=4 2025-09-07T10:23:46.5241089Z triton_mm_36 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=4, num_warps=4 2025-09-07T10:23:46.5242086Z SingleProcess AUTOTUNE benchmarking takes 0.2710 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:23:46.9081401Z Autotune Choices Stats: 2025-09-07T10:23:46.9082622Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_131", "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": 0.04505600035190582, "best_triton_pos": 0} 2025-09-07T10:23:46.9161972Z AUTOTUNE mm(25088x448, 448x256) 2025-09-07T10:23:46.9162293Z strides: [448, 1], [1, 448] 2025-09-07T10:23:46.9162581Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:46.9163356Z triton_mm_131 0.0451 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 2025-09-07T10:23:46.9164565Z triton_mm_126 0.0461 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:46.9165576Z mm 0.0481 ms 93.6% 2025-09-07T10:23:46.9166288Z triton_mm_130 0.0502 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:46.9167493Z triton_mm_132 0.0512 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:23:46.9168665Z triton_mm_124 0.0522 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:46.9169838Z triton_mm_127 0.0522 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:46.9171022Z triton_mm_125 0.0553 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:46.9172201Z triton_mm_128 0.0553 ms 81.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:46.9173615Z triton_mm_122 0.0573 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:23:46.9174634Z SingleProcess AUTOTUNE benchmarking takes 0.3838 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:23:47.1948405Z Autotune Choices Stats: 2025-09-07T10:23:47.1949594Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_135", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:23:47.2029784Z AUTOTUNE addmm(8x256, 8x256, 256x256) 2025-09-07T10:23:47.2030420Z strides: [0, 1], [256, 1], [1, 256] 2025-09-07T10:23:47.2030770Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:23:47.2031600Z triton_mm_135 0.0082 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 2025-09-07T10:23:47.2032886Z triton_mm_136 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 2025-09-07T10:23:47.2034080Z triton_mm_137 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 2025-09-07T10:23:47.2035264Z triton_mm_140 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:47.2036466Z triton_mm_141 0.0082 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 2025-09-07T10:23:47.2037642Z triton_mm_134 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 2025-09-07T10:23:47.2038794Z triton_mm_143 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 2025-09-07T10:23:47.2039970Z triton_mm_144 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 2025-09-07T10:23:47.2041142Z triton_mm_145 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 2025-09-07T10:23:47.2042473Z triton_mm_146 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=3, num_warps=4 2025-09-07T10:23:47.2043497Z SingleProcess AUTOTUNE benchmarking takes 0.2859 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:47.4725456Z Autotune Choices Stats: 2025-09-07T10:23:47.4726614Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_157", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:23:47.4811197Z AUTOTUNE mm(6272x256, 256x160) 2025-09-07T10:23:47.4811516Z strides: [256, 1], [1, 256] 2025-09-07T10:23:47.4811810Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:47.4812604Z triton_mm_157 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:23:47.4814198Z triton_mm_162 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:47.4815394Z triton_mm_166 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:47.4816594Z triton_mm_167 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:23:47.4817348Z mm 0.0154 ms 93.3% 2025-09-07T10:23:47.4818037Z triton_mm_159 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:47.4819455Z triton_mm_160 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:47.4820634Z triton_mm_161 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:47.4821818Z triton_mm_163 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:47.4822976Z triton_mm_165 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:47.4823998Z SingleProcess AUTOTUNE benchmarking takes 0.2774 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:47.7482345Z Autotune Choices Stats: 2025-09-07T10:23:47.7483552Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_180", "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": 0.01228800043463707, "best_triton_pos": 0} 2025-09-07T10:23:47.7564108Z AUTOTUNE mm(6272x160, 160x160) 2025-09-07T10:23:47.7564396Z strides: [160, 1], [1, 160] 2025-09-07T10:23:47.7564696Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:47.7565459Z triton_mm_180 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 2025-09-07T10:23:47.7566655Z triton_mm_174 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 2025-09-07T10:23:47.7568085Z triton_mm_181 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 2025-09-07T10:23:47.7569266Z triton_mm_183 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 2025-09-07T10:23:47.7570450Z triton_mm_184 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 2025-09-07T10:23:47.7571203Z mm 0.0143 ms 85.7% 2025-09-07T10:23:47.7571889Z triton_mm_171 0.0143 ms 85.7% 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 2025-09-07T10:23:47.7573338Z triton_mm_175 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 2025-09-07T10:23:47.7574542Z triton_mm_177 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:47.7575720Z triton_mm_178 0.0143 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:47.7576730Z SingleProcess AUTOTUNE benchmarking takes 0.2744 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:48.1088736Z Autotune Choices Stats: 2025-09-07T10:23:48.1090212Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.030719999223947525, "best_triton_pos": 1, "best_triton_time": 0.03481600061058998, "best_triton_kernel": "triton_mm_237", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"} 2025-09-07T10:23:48.1171975Z AUTOTUNE mm(6272x736, 736x512) 2025-09-07T10:23:48.1172694Z strides: [736, 1], [1, 736] 2025-09-07T10:23:48.1173247Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:48.1173552Z mm 0.0307 ms 100.0% 2025-09-07T10:23:48.1174274Z triton_mm_237 0.0348 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:48.1175482Z triton_mm_238 0.0348 ms 88.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:48.1176676Z triton_mm_231 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=3, num_warps=4 2025-09-07T10:23:48.1177862Z triton_mm_233 0.0369 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 2025-09-07T10:23:48.1179081Z triton_mm_234 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 2025-09-07T10:23:48.1180254Z triton_mm_232 0.0410 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:48.1181441Z triton_mm_235 0.0410 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 2025-09-07T10:23:48.1182628Z triton_mm_236 0.0430 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=2, num_warps=8 2025-09-07T10:23:48.1183841Z triton_mm_239 0.0440 ms 69.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:23:48.1185151Z SingleProcess AUTOTUNE benchmarking takes 0.3551 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:48.4024357Z Autotune Choices Stats: 2025-09-07T10:23:48.4025635Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_244", "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} 2025-09-07T10:23:48.4106995Z AUTOTUNE addmm(8x512, 8x512, 512x512) 2025-09-07T10:23:48.4107317Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:23:48.4107675Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:23:48.4108501Z triton_mm_244 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 2025-09-07T10:23:48.4109735Z triton_mm_248 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:48.4110927Z triton_mm_241 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:23:48.4112114Z triton_mm_242 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:48.4113272Z triton_mm_243 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 2025-09-07T10:23:48.4114442Z triton_mm_247 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:48.4115891Z triton_mm_252 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:23:48.4117087Z triton_mm_251 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 2025-09-07T10:23:48.4118394Z triton_mm_254 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=4, num_warps=4 2025-09-07T10:23:48.4119575Z triton_mm_256 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=5, num_warps=8 2025-09-07T10:23:48.4120595Z SingleProcess AUTOTUNE benchmarking takes 0.2919 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:48.6841531Z Autotune Choices Stats: 2025-09-07T10:23:48.6842702Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_265", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:23:48.6925828Z AUTOTUNE mm(1568x512, 512x192) 2025-09-07T10:23:48.6926170Z strides: [512, 1], [1, 512] 2025-09-07T10:23:48.6926475Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:48.6927254Z triton_mm_265 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 2025-09-07T10:23:48.6928446Z triton_mm_264 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 2025-09-07T10:23:48.6929520Z mm 0.0133 ms 84.6% 2025-09-07T10:23:48.6930223Z triton_mm_258 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 2025-09-07T10:23:48.6931415Z triton_mm_268 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 2025-09-07T10:23:48.6932592Z triton_mm_259 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 2025-09-07T10:23:48.6934047Z triton_mm_260 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:23:48.6935222Z triton_mm_261 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 2025-09-07T10:23:48.6936429Z triton_mm_267 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 2025-09-07T10:23:48.6937612Z triton_mm_270 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 2025-09-07T10:23:48.6938655Z SingleProcess AUTOTUNE benchmarking takes 0.2810 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:48.9553288Z Autotune Choices Stats: 2025-09-07T10:23:48.9554486Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_282", "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} 2025-09-07T10:23:48.9639485Z AUTOTUNE mm(1568x192, 192x192) 2025-09-07T10:23:48.9640218Z strides: [192, 1], [1, 192] 2025-09-07T10:23:48.9640527Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:48.9641303Z triton_mm_282 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 2025-09-07T10:23:48.9642071Z mm 0.0102 ms 90.0% 2025-09-07T10:23:48.9642770Z triton_mm_283 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 2025-09-07T10:23:48.9643966Z triton_mm_285 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 2025-09-07T10:23:48.9645135Z triton_mm_286 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 2025-09-07T10:23:48.9646338Z triton_mm_288 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 2025-09-07T10:23:48.9647539Z triton_mm_276 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 2025-09-07T10:23:48.9648729Z triton_mm_277 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:23:48.9649909Z triton_mm_278 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:23:48.9651094Z triton_mm_284 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 2025-09-07T10:23:48.9652271Z SingleProcess AUTOTUNE benchmarking takes 0.2705 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:49.2851840Z Autotune Choices Stats: 2025-09-07T10:23:49.2853551Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.023552000522613525, "best_triton_pos": 1, "best_triton_time": 0.027648000046610832, "best_triton_kernel": "triton_mm_340", "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"} 2025-09-07T10:23:49.2936696Z AUTOTUNE mm(1568x1088, 1088x768) 2025-09-07T10:23:49.2937071Z strides: [1088, 1], [1, 1088] 2025-09-07T10:23:49.2937380Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:49.2937678Z mm 0.0236 ms 100.0% 2025-09-07T10:23:49.2938429Z triton_mm_340 0.0276 ms 85.2% 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 2025-09-07T10:23:49.2939648Z triton_mm_345 0.0276 ms 85.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:49.2940828Z triton_mm_336 0.0287 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 2025-09-07T10:23:49.2942005Z triton_mm_341 0.0297 ms 79.3% 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 2025-09-07T10:23:49.2943201Z triton_mm_346 0.0297 ms 79.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:23:49.2944795Z triton_mm_338 0.0307 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:49.2946099Z triton_mm_339 0.0307 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:49.2947297Z triton_mm_342 0.0307 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 2025-09-07T10:23:49.2948494Z triton_mm_344 0.0307 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:49.2949527Z SingleProcess AUTOTUNE benchmarking takes 0.3239 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:23:49.5838965Z Autotune Choices Stats: 2025-09-07T10:23:49.5840200Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_351", "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} 2025-09-07T10:23:49.5924773Z AUTOTUNE addmm(8x768, 8x768, 768x768) 2025-09-07T10:23:49.5925135Z strides: [0, 1], [768, 1], [1, 768] 2025-09-07T10:23:49.5925490Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:23:49.5926302Z triton_mm_351 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 2025-09-07T10:23:49.5927487Z triton_mm_355 0.0102 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:23:49.5928668Z triton_mm_349 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 2025-09-07T10:23:49.5930122Z triton_mm_350 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 2025-09-07T10:23:49.5931301Z triton_mm_354 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 2025-09-07T10:23:49.5932475Z triton_mm_359 0.0123 ms 75.0% 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 2025-09-07T10:23:49.5933978Z triton_mm_363 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 2025-09-07T10:23:49.5934754Z bias_addmm 0.0133 ms 69.2% 2025-09-07T10:23:49.5935484Z triton_mm_348 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 2025-09-07T10:23:49.5936666Z triton_mm_358 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 2025-09-07T10:23:49.5937690Z SingleProcess AUTOTUNE benchmarking takes 0.2972 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:49.8703282Z Autotune Choices Stats: 2025-09-07T10:23:49.8704469Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_368", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:23:49.8790859Z AUTOTUNE mm(392x768, 768x224) 2025-09-07T10:23:49.8791175Z strides: [768, 1], [1, 768] 2025-09-07T10:23:49.8791475Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:49.8792524Z triton_mm_368 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 2025-09-07T10:23:49.8793284Z mm 0.0123 ms 91.7% 2025-09-07T10:23:49.8793986Z triton_mm_372 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 2025-09-07T10:23:49.8795165Z triton_mm_365 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 2025-09-07T10:23:49.8796326Z triton_mm_366 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 2025-09-07T10:23:49.8797505Z triton_mm_367 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 2025-09-07T10:23:49.8798663Z triton_mm_371 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:23:49.8799828Z triton_mm_375 0.0154 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:23:49.8800990Z triton_mm_374 0.0164 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:49.8802158Z triton_mm_377 0.0174 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:23:49.8803334Z SingleProcess AUTOTUNE benchmarking takes 0.2858 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:50.1424132Z Autotune Choices Stats: 2025-09-07T10:23:50.1425401Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_383", "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} 2025-09-07T10:23:50.1554881Z AUTOTUNE mm(392x224, 224x224) 2025-09-07T10:23:50.1555239Z strides: [224, 1], [1, 224] 2025-09-07T10:23:50.1555544Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:50.1556329Z triton_mm_383 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 2025-09-07T10:23:50.1557548Z triton_mm_384 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 2025-09-07T10:23:50.1558763Z triton_mm_385 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 2025-09-07T10:23:50.1559943Z triton_mm_386 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 2025-09-07T10:23:50.1560698Z mm 0.0102 ms 90.0% 2025-09-07T10:23:50.1561382Z triton_mm_389 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 2025-09-07T10:23:50.1562565Z triton_mm_390 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 2025-09-07T10:23:50.1564022Z triton_mm_391 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 2025-09-07T10:23:50.1565208Z triton_mm_392 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=4, num_warps=8 2025-09-07T10:23:50.1566396Z triton_mm_393 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 2025-09-07T10:23:50.1567407Z SingleProcess AUTOTUNE benchmarking takes 0.2755 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:23:50.4590934Z Autotune Choices Stats: 2025-09-07T10:23:50.4592436Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_mm_447", "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"} 2025-09-07T10:23:50.4673935Z AUTOTUNE mm(392x1440, 1440x1024) 2025-09-07T10:23:50.4674254Z strides: [1440, 1], [1, 1440] 2025-09-07T10:23:50.4674565Z dtypes: torch.float16, torch.float16 2025-09-07T10:23:50.4674876Z mm 0.0195 ms 100.0% 2025-09-07T10:23:50.4675583Z triton_mm_447 0.0236 ms 82.6% 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 2025-09-07T10:23:50.4676768Z triton_mm_438 0.0246 ms 79.2% 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 2025-09-07T10:23:50.4677935Z triton_mm_446 0.0246 ms 79.2% 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 2025-09-07T10:23:50.4679353Z triton_mm_449 0.0256 ms 76.0% 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 2025-09-07T10:23:50.4680529Z triton_mm_443 0.0266 ms 73.1% 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 2025-09-07T10:23:50.4681705Z triton_mm_437 0.0276 ms 70.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:23:50.4682883Z triton_mm_444 0.0276 ms 70.4% 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 2025-09-07T10:23:50.4684060Z triton_mm_440 0.0307 ms 63.3% 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 2025-09-07T10:23:50.4685246Z triton_mm_448 0.0317 ms 61.3% 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 2025-09-07T10:23:50.4686260Z SingleProcess AUTOTUNE benchmarking takes 0.3062 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:23:50.7421666Z Autotune Choices Stats: 2025-09-07T10:23:50.7422845Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_458", "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} 2025-09-07T10:23:50.7508085Z AUTOTUNE addmm(8x1024, 8x1024, 1024x1024) 2025-09-07T10:23:50.7508539Z strides: [0, 1], [1024, 1], [1, 1024] 2025-09-07T10:23:50.7508903Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:23:50.7509998Z triton_mm_458 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 2025-09-07T10:23:50.7511200Z triton_mm_462 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 2025-09-07T10:23:50.7512386Z triton_mm_466 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 2025-09-07T10:23:50.7513571Z triton_mm_470 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 2025-09-07T10:23:50.7514321Z bias_addmm 0.0143 ms 78.6% 2025-09-07T10:23:50.7515032Z triton_mm_456 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 2025-09-07T10:23:50.7516192Z triton_mm_457 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 2025-09-07T10:23:50.7517350Z triton_mm_461 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 2025-09-07T10:23:50.7518514Z triton_mm_455 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 2025-09-07T10:23:50.7519680Z triton_mm_465 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 2025-09-07T10:23:50.7520690Z SingleProcess AUTOTUNE benchmarking takes 0.2820 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:24:06.9729362Z Autotune Choices Stats: 2025-09-07T10:24:06.9730679Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_506", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:24:06.9817309Z AUTOTUNE mm(1000x8, 8x1024) 2025-09-07T10:24:06.9817601Z strides: [1, 1000], [1024, 1] 2025-09-07T10:24:06.9817909Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:06.9825893Z triton_mm_506 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 2025-09-07T10:24:06.9827102Z triton_mm_507 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 2025-09-07T10:24:06.9828336Z triton_mm_508 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 2025-09-07T10:24:06.9829528Z triton_mm_509 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 2025-09-07T10:24:06.9830739Z triton_mm_510 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 2025-09-07T10:24:06.9831991Z triton_mm_511 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 2025-09-07T10:24:06.9833169Z triton_mm_512 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 2025-09-07T10:24:06.9834691Z triton_mm_513 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 2025-09-07T10:24:06.9835884Z triton_mm_514 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 2025-09-07T10:24:06.9837073Z triton_mm_515 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:24:06.9838123Z SingleProcess AUTOTUNE benchmarking takes 0.2175 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T10:24:07.7493774Z Autotune Choices Stats: 2025-09-07T10:24:07.7495013Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_492", "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} 2025-09-07T10:24:07.7575343Z AUTOTUNE mm(8x1000, 1000x1024) 2025-09-07T10:24:07.7575658Z strides: [1000, 1], [1024, 1] 2025-09-07T10:24:07.7575962Z dtypes: torch.float16, torch.float16 2025-09-07T10:24:07.7576736Z triton_mm_492 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 2025-09-07T10:24:07.7577933Z triton_mm_496 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 2025-09-07T10:24:07.7579129Z triton_mm_500 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 2025-09-07T10:24:07.7580176Z mm 0.0133 ms 84.6% 2025-09-07T10:24:07.7580890Z triton_mm_490 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:24:07.7582055Z triton_mm_504 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 2025-09-07T10:24:07.7583228Z triton_mm_491 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 2025-09-07T10:24:07.7584400Z triton_mm_495 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:24:07.7585642Z triton_mm_499 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 2025-09-07T10:24:07.7586837Z triton_mm_502 0.0154 ms 73.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:24:07.7587858Z SingleProcess AUTOTUNE benchmarking takes 0.2495 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:24:16.5533823Z W0907 10:24:16.552000 75512 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T10:24:32.2711969Z pass 2025-09-07T10:24:37.0617101Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:24:37.0618519Z import pynvml # type: ignore[import] 2025-09-07T10:24:40.5105771Z 2025-09-07T10:24:41.6589211Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:24:41.6589950Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:24:41.6590289Z cuda train fbnetc_100 2025-09-07T10:25:15.3803101Z Autotune Choices Stats: 2025-09-07T10:25:15.3804791Z {"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"} 2025-09-07T10:25:15.3886586Z AUTOTUNE convolution(8x3x224x224, 16x3x3x3) 2025-09-07T10:25:15.3886959Z strides: [150528, 1, 672, 3], [27, 1, 9, 3] 2025-09-07T10:25:15.3887296Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:15.3887603Z convolution 0.0174 ms 100.0% 2025-09-07T10:25:15.3888526Z 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 2025-09-07T10:25:15.3890006Z 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 2025-09-07T10:25:15.3891481Z 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 2025-09-07T10:25:15.3893201Z triton_convolution2d_4 0.0195 ms 89.5% 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 2025-09-07T10:25:15.3895059Z 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 2025-09-07T10:25:15.3896226Z SingleProcess AUTOTUNE benchmarking takes 0.1019 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:25:15.5468347Z Autotune Choices Stats: 2025-09-07T10:25:15.5469491Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_6", "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=2, num_warps=2", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:25:15.5555110Z AUTOTUNE mm(100352x16, 16x16) 2025-09-07T10:25:15.5555433Z strides: [16, 1], [1, 16] 2025-09-07T10:25:15.5555728Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:15.5556464Z 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 2025-09-07T10:25:15.5557677Z 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 2025-09-07T10:25:15.5558839Z 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 2025-09-07T10:25:15.5560002Z 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 2025-09-07T10:25:15.5561167Z 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 2025-09-07T10:25:15.5562611Z 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 2025-09-07T10:25:15.5563795Z 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 2025-09-07T10:25:15.5564964Z 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 2025-09-07T10:25:15.5566130Z triton_mm_5 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:25:15.5567277Z triton_mm_9 0.0123 ms 91.7% 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 2025-09-07T10:25:15.5568280Z SingleProcess AUTOTUNE benchmarking takes 0.1654 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:25:15.7950809Z Autotune Choices Stats: 2025-09-07T10:25:15.7951960Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_27", "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} 2025-09-07T10:25:15.8033395Z AUTOTUNE mm(100352x16, 16x96) 2025-09-07T10:25:15.8033706Z strides: [16, 1], [1, 16] 2025-09-07T10:25:15.8033990Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:15.8034748Z triton_mm_27 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 2025-09-07T10:25:15.8035926Z triton_mm_28 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 2025-09-07T10:25:15.8037364Z triton_mm_30 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 2025-09-07T10:25:15.8038537Z triton_mm_31 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 2025-09-07T10:25:15.8039687Z triton_mm_34 0.0225 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:25:15.8040868Z triton_mm_40 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 2025-09-07T10:25:15.8042057Z triton_mm_41 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 2025-09-07T10:25:15.8043245Z triton_mm_42 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 2025-09-07T10:25:15.8044427Z triton_mm_32 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=2, num_warps=4 2025-09-07T10:25:15.8045588Z triton_mm_33 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 2025-09-07T10:25:15.8046599Z SingleProcess AUTOTUNE benchmarking takes 0.2449 seconds and 0.0002 seconds precompiling for 17 choices 2025-09-07T10:25:16.0419615Z Autotune Choices Stats: 2025-09-07T10:25:16.0421050Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_49", "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} 2025-09-07T10:25:16.0507756Z AUTOTUNE mm(25088x96, 96x24) 2025-09-07T10:25:16.0508062Z strides: [96, 1], [1, 96] 2025-09-07T10:25:16.0508352Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:16.0509096Z triton_mm_49 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 2025-09-07T10:25:16.0510271Z triton_mm_51 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 2025-09-07T10:25:16.0511445Z triton_mm_55 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 2025-09-07T10:25:16.0512637Z triton_mm_57 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 2025-09-07T10:25:16.0513381Z mm 0.0143 ms 92.9% 2025-09-07T10:25:16.0514057Z triton_mm_43 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 2025-09-07T10:25:16.0515207Z triton_mm_44 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 2025-09-07T10:25:16.0516364Z triton_mm_46 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 2025-09-07T10:25:16.0517521Z triton_mm_47 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 2025-09-07T10:25:16.0518842Z triton_mm_48 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 2025-09-07T10:25:16.0519845Z SingleProcess AUTOTUNE benchmarking takes 0.2467 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:25:16.2589532Z Autotune Choices Stats: 2025-09-07T10:25:16.2590674Z {"num_choices": 16, "num_triton_choices": 15, "best_kernel": "triton_mm_61", "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=2, num_warps=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:25:16.2672864Z AUTOTUNE mm(25088x24, 24x24) 2025-09-07T10:25:16.2673167Z strides: [24, 1], [1, 24] 2025-09-07T10:25:16.2673466Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:16.2674232Z triton_mm_61 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 2025-09-07T10:25:16.2675410Z triton_mm_62 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=5, num_warps=4 2025-09-07T10:25:16.2676583Z triton_mm_64 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 2025-09-07T10:25:16.2677749Z triton_mm_66 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=2, num_warps=4 2025-09-07T10:25:16.2678914Z triton_mm_67 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=3, num_warps=8 2025-09-07T10:25:16.2680279Z triton_mm_68 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=3, num_warps=4 2025-09-07T10:25:16.2681455Z triton_mm_69 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=4, num_warps=8 2025-09-07T10:25:16.2682632Z triton_mm_70 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=4, num_warps=4 2025-09-07T10:25:16.2683798Z triton_mm_71 0.0092 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 2025-09-07T10:25:16.2684986Z triton_mm_72 0.0092 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 2025-09-07T10:25:16.2686017Z SingleProcess AUTOTUNE benchmarking takes 0.2158 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T10:25:16.5105489Z Autotune Choices Stats: 2025-09-07T10:25:16.5106641Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_124", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=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} 2025-09-07T10:25:16.5191243Z AUTOTUNE mm(25088x24, 24x144) 2025-09-07T10:25:16.5191548Z strides: [24, 1], [1, 24] 2025-09-07T10:25:16.5191833Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:16.5192589Z triton_mm_124 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 2025-09-07T10:25:16.5193779Z triton_mm_126 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 2025-09-07T10:25:16.5195198Z triton_mm_127 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 2025-09-07T10:25:16.5196388Z triton_mm_128 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 2025-09-07T10:25:16.5197556Z triton_mm_120 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:25:16.5198731Z triton_mm_123 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 2025-09-07T10:25:16.5199907Z triton_mm_129 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=3, num_warps=4 2025-09-07T10:25:16.5201093Z triton_mm_130 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 2025-09-07T10:25:16.5202272Z triton_mm_131 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=4 2025-09-07T10:25:16.5203448Z triton_mm_132 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=3, num_warps=4 2025-09-07T10:25:16.5204471Z SingleProcess AUTOTUNE benchmarking takes 0.2442 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:25:16.7538376Z Autotune Choices Stats: 2025-09-07T10:25:16.7539786Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_139", "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} 2025-09-07T10:25:16.7625083Z AUTOTUNE mm(6272x144, 144x32) 2025-09-07T10:25:16.7625391Z strides: [144, 1], [1, 144] 2025-09-07T10:25:16.7625693Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:16.7626457Z triton_mm_139 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 2025-09-07T10:25:16.7627658Z triton_mm_140 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 2025-09-07T10:25:16.7628845Z triton_mm_144 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 2025-09-07T10:25:16.7630045Z triton_mm_145 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 2025-09-07T10:25:16.7631219Z triton_mm_146 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 2025-09-07T10:25:16.7632398Z triton_mm_147 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 2025-09-07T10:25:16.7633594Z triton_mm_149 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 2025-09-07T10:25:16.7634791Z triton_mm_152 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 2025-09-07T10:25:16.7635708Z mm 0.0113 ms 90.9% 2025-09-07T10:25:16.7636395Z triton_mm_138 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 2025-09-07T10:25:16.7637413Z SingleProcess AUTOTUNE benchmarking takes 0.2427 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:25:16.9923852Z Autotune Choices Stats: 2025-09-07T10:25:16.9924985Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_154", "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": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:25:17.0011709Z AUTOTUNE mm(6272x32, 32x96) 2025-09-07T10:25:17.0012049Z strides: [32, 1], [1, 32] 2025-09-07T10:25:17.0012368Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:17.0013338Z triton_mm_154 0.0082 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 2025-09-07T10:25:17.0014541Z triton_mm_155 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:25:17.0015719Z triton_mm_156 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:25:17.0016888Z triton_mm_157 0.0082 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 2025-09-07T10:25:17.0018057Z triton_mm_158 0.0082 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 2025-09-07T10:25:17.0019531Z triton_mm_160 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:25:17.0020713Z triton_mm_161 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:25:17.0021874Z triton_mm_162 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:25:17.0023055Z triton_mm_164 0.0082 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 2025-09-07T10:25:17.0024239Z triton_mm_167 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 2025-09-07T10:25:17.0025337Z SingleProcess AUTOTUNE benchmarking takes 0.2380 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:25:17.2323747Z Autotune Choices Stats: 2025-09-07T10:25:17.2324909Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_172", "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} 2025-09-07T10:25:17.2411125Z AUTOTUNE mm(6272x96, 96x32) 2025-09-07T10:25:17.2411516Z strides: [96, 1], [1, 96] 2025-09-07T10:25:17.2411794Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:17.2412576Z triton_mm_172 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 2025-09-07T10:25:17.2414352Z triton_mm_173 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:25:17.2415533Z triton_mm_174 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 2025-09-07T10:25:17.2416717Z triton_mm_175 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 2025-09-07T10:25:17.2417904Z triton_mm_178 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=3, num_warps=8 2025-09-07T10:25:17.2419076Z triton_mm_179 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:25:17.2420246Z triton_mm_180 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=4, num_warps=8 2025-09-07T10:25:17.2421416Z triton_mm_181 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=3, num_warps=4 2025-09-07T10:25:17.2422603Z triton_mm_182 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=4, num_warps=4 2025-09-07T10:25:17.2423797Z triton_mm_183 0.0092 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 2025-09-07T10:25:17.2424815Z SingleProcess AUTOTUNE benchmarking takes 0.2393 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:25:17.4704283Z Autotune Choices Stats: 2025-09-07T10:25:17.4712878Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_190", "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} 2025-09-07T10:25:17.4791194Z AUTOTUNE mm(6272x32, 32x192) 2025-09-07T10:25:17.4791538Z strides: [32, 1], [1, 32] 2025-09-07T10:25:17.4791829Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:17.4792593Z triton_mm_190 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 2025-09-07T10:25:17.4793777Z triton_mm_191 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 2025-09-07T10:25:17.4794960Z triton_mm_192 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 2025-09-07T10:25:17.4796137Z triton_mm_194 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 2025-09-07T10:25:17.4797315Z triton_mm_195 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 2025-09-07T10:25:17.4798492Z triton_mm_196 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 2025-09-07T10:25:17.4799673Z triton_mm_198 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 2025-09-07T10:25:17.4801091Z triton_mm_200 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 2025-09-07T10:25:17.4802276Z triton_mm_201 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:25:17.4803456Z triton_mm_188 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 2025-09-07T10:25:17.4804457Z SingleProcess AUTOTUNE benchmarking takes 0.2373 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:25:17.7100732Z Autotune Choices Stats: 2025-09-07T10:25:17.7101909Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_206", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:25:17.7187874Z AUTOTUNE mm(6272x192, 192x32) 2025-09-07T10:25:17.7188203Z strides: [192, 1], [1, 192] 2025-09-07T10:25:17.7188506Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:17.7189279Z triton_mm_206 0.0113 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 2025-09-07T10:25:17.7190474Z triton_mm_207 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:25:17.7191655Z triton_mm_208 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 2025-09-07T10:25:17.7193045Z triton_mm_209 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 2025-09-07T10:25:17.7194241Z triton_mm_212 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 2025-09-07T10:25:17.7195423Z triton_mm_213 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:25:17.7196601Z triton_mm_214 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=4, num_warps=8 2025-09-07T10:25:17.7197775Z triton_mm_215 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 2025-09-07T10:25:17.7198961Z triton_mm_216 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=4, num_warps=4 2025-09-07T10:25:17.7200150Z triton_mm_217 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 2025-09-07T10:25:17.7201168Z SingleProcess AUTOTUNE benchmarking takes 0.2390 seconds and 0.0003 seconds precompiling for 18 choices 2025-09-07T10:25:17.9692937Z Autotune Choices Stats: 2025-09-07T10:25:17.9694109Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_274", "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} 2025-09-07T10:25:17.9785851Z AUTOTUNE mm(1568x192, 192x64) 2025-09-07T10:25:17.9786173Z strides: [192, 1], [1, 192] 2025-09-07T10:25:17.9786694Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:17.9787456Z triton_mm_274 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 2025-09-07T10:25:17.9788648Z triton_mm_275 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 2025-09-07T10:25:17.9789818Z triton_mm_276 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 2025-09-07T10:25:17.9791013Z triton_mm_277 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 2025-09-07T10:25:17.9792192Z triton_mm_280 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 2025-09-07T10:25:17.9793388Z triton_mm_281 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 2025-09-07T10:25:17.9794567Z triton_mm_283 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 2025-09-07T10:25:17.9795738Z triton_mm_284 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 2025-09-07T10:25:17.9796905Z triton_mm_285 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 2025-09-07T10:25:17.9797651Z mm 0.0102 ms 90.0% 2025-09-07T10:25:17.9798175Z SingleProcess AUTOTUNE benchmarking takes 0.2519 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:18.2330451Z Autotune Choices Stats: 2025-09-07T10:25:18.2331612Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_292", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:25:18.2417334Z AUTOTUNE mm(1568x64, 64x192) 2025-09-07T10:25:18.2417640Z strides: [64, 1], [1, 64] 2025-09-07T10:25:18.2417931Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:18.2418699Z triton_mm_292 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:25:18.2419888Z triton_mm_294 0.0082 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 2025-09-07T10:25:18.2421072Z triton_mm_295 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:25:18.2422242Z triton_mm_297 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:25:18.2423409Z triton_mm_298 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 2025-09-07T10:25:18.2424580Z triton_mm_299 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 2025-09-07T10:25:18.2425810Z triton_mm_300 0.0082 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 2025-09-07T10:25:18.2427180Z triton_mm_301 0.0082 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 2025-09-07T10:25:18.2428368Z triton_mm_304 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=3, num_warps=4 2025-09-07T10:25:18.2429107Z mm 0.0092 ms 88.9% 2025-09-07T10:25:18.2429640Z SingleProcess AUTOTUNE benchmarking takes 0.2625 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:25:18.5070867Z Autotune Choices Stats: 2025-09-07T10:25:18.5072034Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_329", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:25:18.5158496Z AUTOTUNE mm(1568x64, 64x384) 2025-09-07T10:25:18.5158804Z strides: [64, 1], [1, 64] 2025-09-07T10:25:18.5159096Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:18.5159854Z triton_mm_329 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:25:18.5161053Z triton_mm_331 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 2025-09-07T10:25:18.5162228Z triton_mm_332 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:25:18.5163404Z triton_mm_333 0.0092 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 2025-09-07T10:25:18.5164809Z triton_mm_334 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 2025-09-07T10:25:18.5165987Z triton_mm_335 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 2025-09-07T10:25:18.5167166Z triton_mm_336 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=5, num_warps=4 2025-09-07T10:25:18.5168353Z triton_mm_337 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 2025-09-07T10:25:18.5169532Z triton_mm_338 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 2025-09-07T10:25:18.5170718Z triton_mm_339 0.0092 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 2025-09-07T10:25:18.5171737Z SingleProcess AUTOTUNE benchmarking takes 0.2710 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:25:18.7601985Z Autotune Choices Stats: 2025-09-07T10:25:18.7603150Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_348", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:25:18.7692143Z AUTOTUNE mm(1568x384, 384x64) 2025-09-07T10:25:18.7692447Z strides: [384, 1], [1, 384] 2025-09-07T10:25:18.7692738Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:18.7693864Z triton_mm_348 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:25:18.7695052Z triton_mm_349 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:25:18.7696221Z triton_mm_350 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 2025-09-07T10:25:18.7697497Z triton_mm_351 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 2025-09-07T10:25:18.7698679Z triton_mm_355 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 2025-09-07T10:25:18.7699875Z triton_mm_359 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 2025-09-07T10:25:18.7700625Z mm 0.0113 ms 90.9% 2025-09-07T10:25:18.7701305Z triton_mm_354 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 2025-09-07T10:25:18.7702470Z triton_mm_357 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 2025-09-07T10:25:18.7703636Z triton_mm_358 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 2025-09-07T10:25:18.7704636Z SingleProcess AUTOTUNE benchmarking takes 0.2527 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:19.0228916Z Autotune Choices Stats: 2025-09-07T10:25:19.0230398Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_424", "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} 2025-09-07T10:25:19.0320511Z AUTOTUNE mm(1568x384, 384x112) 2025-09-07T10:25:19.0320811Z strides: [384, 1], [1, 384] 2025-09-07T10:25:19.0321115Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:19.0321874Z triton_mm_424 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 2025-09-07T10:25:19.0323065Z triton_mm_425 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 2025-09-07T10:25:19.0324267Z triton_mm_429 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 2025-09-07T10:25:19.0325447Z triton_mm_422 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 2025-09-07T10:25:19.0326607Z triton_mm_423 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 2025-09-07T10:25:19.0327773Z triton_mm_428 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 2025-09-07T10:25:19.0328505Z mm 0.0123 ms 83.3% 2025-09-07T10:25:19.0329193Z triton_mm_431 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 2025-09-07T10:25:19.0330548Z triton_mm_432 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 2025-09-07T10:25:19.0331726Z triton_mm_434 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 2025-09-07T10:25:19.0332728Z SingleProcess AUTOTUNE benchmarking takes 0.2547 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:19.2769485Z Autotune Choices Stats: 2025-09-07T10:25:19.2770659Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_445", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:25:19.2858939Z AUTOTUNE mm(1568x112, 112x672) 2025-09-07T10:25:19.2859258Z strides: [112, 1], [1, 112] 2025-09-07T10:25:19.2859553Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:19.2860325Z triton_mm_445 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 2025-09-07T10:25:19.2861524Z triton_mm_447 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 2025-09-07T10:25:19.2862717Z triton_mm_448 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 2025-09-07T10:25:19.2863907Z triton_mm_450 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 2025-09-07T10:25:19.2865448Z triton_mm_451 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 2025-09-07T10:25:19.2866652Z triton_mm_454 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 2025-09-07T10:25:19.2867856Z triton_mm_455 0.0113 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 2025-09-07T10:25:19.2869058Z triton_mm_456 0.0113 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 2025-09-07T10:25:19.2869815Z mm 0.0123 ms 91.7% 2025-09-07T10:25:19.2870511Z triton_mm_443 0.0123 ms 91.7% 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 2025-09-07T10:25:19.2871524Z SingleProcess AUTOTUNE benchmarking takes 0.2532 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:19.5438983Z Autotune Choices Stats: 2025-09-07T10:25:19.5440143Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_461", "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} 2025-09-07T10:25:19.5529686Z AUTOTUNE mm(1568x672, 672x112) 2025-09-07T10:25:19.5530049Z strides: [672, 1], [1, 672] 2025-09-07T10:25:19.5530352Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:19.5531147Z triton_mm_461 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 2025-09-07T10:25:19.5532675Z triton_mm_459 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 2025-09-07T10:25:19.5534081Z triton_mm_460 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 2025-09-07T10:25:19.5535274Z triton_mm_465 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 2025-09-07T10:25:19.5536026Z mm 0.0143 ms 85.7% 2025-09-07T10:25:19.5536716Z triton_mm_458 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 2025-09-07T10:25:19.5537879Z triton_mm_464 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 2025-09-07T10:25:19.5539069Z triton_mm_468 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 2025-09-07T10:25:19.5540246Z triton_mm_467 0.0164 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:25:19.5541417Z triton_mm_470 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 2025-09-07T10:25:19.5542430Z SingleProcess AUTOTUNE benchmarking takes 0.2663 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:19.8025735Z Autotune Choices Stats: 2025-09-07T10:25:19.8027262Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_512", "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} 2025-09-07T10:25:19.8116490Z AUTOTUNE mm(1568x112, 112x336) 2025-09-07T10:25:19.8116828Z strides: [112, 1], [1, 112] 2025-09-07T10:25:19.8117125Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:19.8117901Z triton_mm_512 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 2025-09-07T10:25:19.8119112Z triton_mm_515 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 2025-09-07T10:25:19.8120306Z triton_mm_517 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:25:19.8121525Z triton_mm_518 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 2025-09-07T10:25:19.8122705Z triton_mm_519 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 2025-09-07T10:25:19.8123892Z triton_mm_520 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:25:19.8125083Z triton_mm_521 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 2025-09-07T10:25:19.8126276Z triton_mm_522 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 2025-09-07T10:25:19.8127774Z triton_mm_523 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:25:19.8128964Z triton_mm_524 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:25:19.8129999Z SingleProcess AUTOTUNE benchmarking takes 0.2529 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:20.0585572Z Autotune Choices Stats: 2025-09-07T10:25:20.0586757Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_533", "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} 2025-09-07T10:25:20.0675638Z AUTOTUNE mm(1568x336, 336x112) 2025-09-07T10:25:20.0675967Z strides: [336, 1], [1, 336] 2025-09-07T10:25:20.0676285Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:20.0677057Z triton_mm_533 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 2025-09-07T10:25:20.0678248Z triton_mm_532 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 2025-09-07T10:25:20.0679425Z triton_mm_536 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 2025-09-07T10:25:20.0680678Z triton_mm_537 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 2025-09-07T10:25:20.0681431Z mm 0.0123 ms 83.3% 2025-09-07T10:25:20.0682347Z triton_mm_530 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 2025-09-07T10:25:20.0683515Z triton_mm_531 0.0123 ms 83.3% 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 2025-09-07T10:25:20.0684693Z triton_mm_539 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 2025-09-07T10:25:20.0685879Z triton_mm_540 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 2025-09-07T10:25:20.0687057Z triton_mm_542 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 2025-09-07T10:25:20.0688082Z SingleProcess AUTOTUNE benchmarking takes 0.2553 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:20.3243544Z Autotune Choices Stats: 2025-09-07T10:25:20.3245007Z {"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_569", "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"} 2025-09-07T10:25:20.3334995Z AUTOTUNE mm(392x672, 672x184) 2025-09-07T10:25:20.3335474Z strides: [672, 1], [1, 672] 2025-09-07T10:25:20.3335763Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:20.3336147Z mm 0.0113 ms 100.0% 2025-09-07T10:25:20.3336863Z triton_mm_569 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 2025-09-07T10:25:20.3338345Z triton_mm_567 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 2025-09-07T10:25:20.3339514Z triton_mm_568 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 2025-09-07T10:25:20.3340682Z triton_mm_573 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 2025-09-07T10:25:20.3341867Z triton_mm_566 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 2025-09-07T10:25:20.3343056Z triton_mm_572 0.0133 ms 84.6% 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 2025-09-07T10:25:20.3344232Z triton_mm_575 0.0154 ms 73.3% 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 2025-09-07T10:25:20.3345470Z triton_mm_576 0.0154 ms 73.3% 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 2025-09-07T10:25:20.3346651Z triton_mm_578 0.0164 ms 68.8% 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 2025-09-07T10:25:20.3347671Z SingleProcess AUTOTUNE benchmarking takes 0.2627 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:20.5810022Z Autotune Choices Stats: 2025-09-07T10:25:20.5811530Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_594", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:25:20.5906586Z AUTOTUNE mm(392x184, 184x1104) 2025-09-07T10:25:20.5906896Z strides: [184, 1], [1, 184] 2025-09-07T10:25:20.5907196Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:20.5907949Z triton_mm_594 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 2025-09-07T10:25:20.5909148Z triton_mm_592 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 2025-09-07T10:25:20.5910323Z triton_mm_593 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 2025-09-07T10:25:20.5911518Z triton_mm_595 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 2025-09-07T10:25:20.5912703Z triton_mm_596 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 2025-09-07T10:25:20.5913873Z triton_mm_589 0.0123 ms 83.3% 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 2025-09-07T10:25:20.5915040Z triton_mm_590 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 2025-09-07T10:25:20.5916222Z triton_mm_598 0.0123 ms 83.3% 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 2025-09-07T10:25:20.5917591Z triton_mm_599 0.0123 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 2025-09-07T10:25:20.5918345Z mm 0.0133 ms 76.9% 2025-09-07T10:25:20.5918870Z SingleProcess AUTOTUNE benchmarking takes 0.2551 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:20.8677525Z Autotune Choices Stats: 2025-09-07T10:25:20.8678705Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_605", "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} 2025-09-07T10:25:20.8774373Z AUTOTUNE mm(392x1104, 1104x184) 2025-09-07T10:25:20.8774725Z strides: [1104, 1], [1, 1104] 2025-09-07T10:25:20.8775044Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:20.8775841Z triton_mm_605 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 2025-09-07T10:25:20.8776611Z mm 0.0133 ms 92.3% 2025-09-07T10:25:20.8777304Z triton_mm_609 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 2025-09-07T10:25:20.8778486Z triton_mm_603 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 2025-09-07T10:25:20.8779646Z triton_mm_602 0.0164 ms 75.0% 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 2025-09-07T10:25:20.8781125Z triton_mm_604 0.0164 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 2025-09-07T10:25:20.8782308Z triton_mm_608 0.0174 ms 70.6% 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 2025-09-07T10:25:20.8783490Z triton_mm_612 0.0205 ms 60.0% 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 2025-09-07T10:25:20.8784666Z triton_mm_611 0.0215 ms 57.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:25:20.8785948Z triton_mm_614 0.0246 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 2025-09-07T10:25:20.8786983Z SingleProcess AUTOTUNE benchmarking takes 0.2860 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:21.1646264Z Autotune Choices Stats: 2025-09-07T10:25:21.1647474Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_713", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:25:21.1741912Z AUTOTUNE mm(392x1104, 1104x352) 2025-09-07T10:25:21.1742258Z strides: [1104, 1], [1, 1104] 2025-09-07T10:25:21.1742553Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:21.1743336Z triton_mm_713 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 2025-09-07T10:25:21.1744101Z mm 0.0143 ms 92.9% 2025-09-07T10:25:21.1744808Z triton_mm_711 0.0154 ms 86.7% 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 2025-09-07T10:25:21.1746416Z triton_mm_717 0.0154 ms 86.7% 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 2025-09-07T10:25:21.1747606Z triton_mm_712 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 2025-09-07T10:25:21.1748772Z triton_mm_710 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 2025-09-07T10:25:21.1749950Z triton_mm_716 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 2025-09-07T10:25:21.1751143Z triton_mm_720 0.0205 ms 65.0% 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 2025-09-07T10:25:21.1752327Z triton_mm_719 0.0215 ms 61.9% 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 2025-09-07T10:25:21.1753512Z triton_mm_722 0.0236 ms 56.5% 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 2025-09-07T10:25:21.1754533Z SingleProcess AUTOTUNE benchmarking takes 0.2830 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:21.4286463Z Autotune Choices Stats: 2025-09-07T10:25:21.4287669Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_736", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:25:21.4382357Z AUTOTUNE mm(392x352, 352x1984) 2025-09-07T10:25:21.4382675Z strides: [352, 1], [1, 352] 2025-09-07T10:25:21.4382976Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:21.4383738Z triton_mm_736 0.0143 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:25:21.4385017Z triton_mm_737 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:25:21.4386204Z triton_mm_738 0.0154 ms 93.3% 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 2025-09-07T10:25:21.4387383Z triton_mm_739 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:25:21.4388588Z triton_mm_742 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:25:21.4389775Z triton_mm_743 0.0154 ms 93.3% 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 2025-09-07T10:25:21.4390966Z triton_mm_744 0.0154 ms 93.3% 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 2025-09-07T10:25:21.4391715Z mm 0.0164 ms 87.5% 2025-09-07T10:25:21.4392386Z triton_mm_734 0.0164 ms 87.5% 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 2025-09-07T10:25:21.4393714Z triton_mm_740 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:25:21.4394734Z SingleProcess AUTOTUNE benchmarking takes 0.2633 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:21.7400715Z Autotune Choices Stats: 2025-09-07T10:25:21.7401883Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_749", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:25:21.7498392Z AUTOTUNE addmm(8x1000, 8x1984, 1984x1000) 2025-09-07T10:25:21.7498749Z strides: [0, 1], [1984, 1], [1, 1984] 2025-09-07T10:25:21.7499108Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:25:21.7499928Z triton_mm_749 0.0143 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 2025-09-07T10:25:21.7501151Z triton_mm_753 0.0164 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 2025-09-07T10:25:21.7502337Z triton_mm_757 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:25:21.7503092Z bias_addmm 0.0184 ms 77.8% 2025-09-07T10:25:21.7503804Z triton_mm_761 0.0184 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:25:21.7504542Z addmm 0.0205 ms 70.0% 2025-09-07T10:25:21.7505276Z triton_mm_748 0.0205 ms 70.0% 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 2025-09-07T10:25:21.7506693Z triton_mm_747 0.0215 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 2025-09-07T10:25:21.7507862Z triton_mm_752 0.0215 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 2025-09-07T10:25:21.7509030Z triton_mm_746 0.0236 ms 60.9% 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 2025-09-07T10:25:21.7510053Z SingleProcess AUTOTUNE benchmarking takes 0.3109 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:25:39.6620890Z Autotune Choices Stats: 2025-09-07T10:25:39.6622128Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_781", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:25:39.6718611Z AUTOTUNE mm(1000x8, 8x1984) 2025-09-07T10:25:39.6718987Z strides: [1, 1000], [1984, 1] 2025-09-07T10:25:39.6719281Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:39.6720050Z triton_mm_781 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:25:39.6721246Z triton_mm_784 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 2025-09-07T10:25:39.6722439Z triton_mm_785 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:25:39.6723977Z triton_mm_786 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:25:39.6725172Z triton_mm_787 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:25:39.6726370Z triton_mm_788 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:25:39.6727562Z triton_mm_789 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:25:39.6728756Z triton_mm_790 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:25:39.6729967Z triton_mm_791 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 2025-09-07T10:25:39.6731148Z triton_mm_779 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 2025-09-07T10:25:39.6732164Z SingleProcess AUTOTUNE benchmarking takes 0.2226 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T10:25:40.4660557Z Autotune Choices Stats: 2025-09-07T10:25:40.4661781Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_766", "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} 2025-09-07T10:25:40.4753185Z AUTOTUNE mm(8x1000, 1000x1984) 2025-09-07T10:25:40.4753567Z strides: [1000, 1], [1984, 1] 2025-09-07T10:25:40.4754243Z dtypes: torch.float16, torch.float16 2025-09-07T10:25:40.4755017Z triton_mm_766 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 2025-09-07T10:25:40.4756246Z triton_mm_770 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 2025-09-07T10:25:40.4757451Z triton_mm_774 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 2025-09-07T10:25:40.4758651Z triton_mm_778 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:25:40.4759840Z triton_mm_764 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 2025-09-07T10:25:40.4761018Z triton_mm_765 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 2025-09-07T10:25:40.4762197Z triton_mm_769 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 2025-09-07T10:25:40.4763359Z triton_mm_773 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 2025-09-07T10:25:40.4764534Z triton_mm_776 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 2025-09-07T10:25:40.4765862Z triton_mm_763 0.0174 ms 76.5% 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 2025-09-07T10:25:40.4766887Z SingleProcess AUTOTUNE benchmarking takes 0.2532 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:25:49.5760863Z W0907 10:25:49.575000 82601 site-packages/torch/_logging/_internal.py:1199] [7/0] Profiler function will be ignored 2025-09-07T10:26:24.1695002Z pass 2025-09-07T10:26:30.8291374Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:26:30.8293033Z import pynvml # type: ignore[import] 2025-09-07T10:26:34.2161082Z 2025-09-07T10:26:35.6280363Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:26:35.6280775Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:26:35.6281108Z cuda train fbnetv3_b 2025-09-07T10:27:27.4168227Z Autotune Choices Stats: 2025-09-07T10:27:27.4169447Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1475", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:27:27.4271098Z AUTOTUNE mm(8x1344, 1344x1984) 2025-09-07T10:27:27.4271452Z strides: [1344, 1], [1, 1344] 2025-09-07T10:27:27.4271770Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:27.4272574Z triton_mm_1475 0.0143 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 2025-09-07T10:27:27.4274222Z triton_mm_1479 0.0143 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 2025-09-07T10:27:27.4275485Z triton_mm_1483 0.0154 ms 93.3% 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 2025-09-07T10:27:27.4276264Z mm 0.0164 ms 87.5% 2025-09-07T10:27:27.4276968Z triton_mm_1487 0.0164 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:27:27.4278159Z triton_mm_1474 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:27:27.4279342Z triton_mm_1478 0.0174 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:27.4280536Z triton_mm_1473 0.0184 ms 77.8% 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 2025-09-07T10:27:27.4281722Z triton_mm_1482 0.0184 ms 77.8% 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 2025-09-07T10:27:27.4282931Z triton_mm_1472 0.0195 ms 73.7% 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 2025-09-07T10:27:27.4283978Z SingleProcess AUTOTUNE benchmarking takes 0.2945 seconds and 0.0004 seconds precompiling for 18 choices 2025-09-07T10:27:27.9677574Z Autotune Choices Stats: 2025-09-07T10:27:27.9678835Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_1079", "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} 2025-09-07T10:27:27.9778491Z AUTOTUNE addmm(8x48, 8x736, 736x48) 2025-09-07T10:27:27.9778843Z strides: [0, 1], [736, 1], [1, 736] 2025-09-07T10:27:27.9779187Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:27.9780018Z triton_mm_1079 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 2025-09-07T10:27:27.9781237Z triton_mm_1083 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 2025-09-07T10:27:27.9782436Z triton_mm_1086 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 2025-09-07T10:27:27.9783640Z triton_mm_1087 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=5, num_warps=4 2025-09-07T10:27:27.9784914Z triton_mm_1077 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 2025-09-07T10:27:27.9786089Z triton_mm_1078 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:27:27.9787260Z triton_mm_1082 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 2025-09-07T10:27:27.9788454Z triton_mm_1076 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 2025-09-07T10:27:27.9789860Z triton_mm_1085 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=4, num_warps=4 2025-09-07T10:27:27.9790618Z bias_addmm 0.0133 ms 69.2% 2025-09-07T10:27:27.9791182Z SingleProcess AUTOTUNE benchmarking takes 0.2513 seconds and 0.0004 seconds precompiling for 15 choices 2025-09-07T10:27:28.5941766Z Autotune Choices Stats: 2025-09-07T10:27:28.5943006Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_1409", "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} 2025-09-07T10:27:28.6040199Z AUTOTUNE addmm(8x48, 8x1104, 1104x48) 2025-09-07T10:27:28.6040579Z strides: [0, 1], [1104, 1], [1, 1104] 2025-09-07T10:27:28.6040952Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:28.6041819Z triton_mm_1409 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 2025-09-07T10:27:28.6043045Z triton_mm_1413 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 2025-09-07T10:27:28.6044264Z triton_mm_1416 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=4, num_warps=4 2025-09-07T10:27:28.6045466Z triton_mm_1417 0.0113 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:27:28.6046663Z triton_mm_1408 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 2025-09-07T10:27:28.6047762Z bias_addmm 0.0133 ms 76.9% 2025-09-07T10:27:28.6048502Z triton_mm_1407 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 2025-09-07T10:27:28.6049688Z triton_mm_1412 0.0133 ms 76.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:28.6050902Z triton_mm_1406 0.0143 ms 71.4% 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 2025-09-07T10:27:28.6052109Z triton_mm_1415 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 2025-09-07T10:27:28.6053464Z SingleProcess AUTOTUNE benchmarking takes 0.2531 seconds and 0.0003 seconds precompiling for 15 choices 2025-09-07T10:27:28.8423213Z Autotune Choices Stats: 2025-09-07T10:27:28.8424463Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_718", "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} 2025-09-07T10:27:28.8520909Z AUTOTUNE addmm(8x32, 8x360, 360x32) 2025-09-07T10:27:28.8521239Z strides: [0, 1], [360, 1], [1, 360] 2025-09-07T10:27:28.8521595Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:28.8522417Z triton_mm_718 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 2025-09-07T10:27:28.8523632Z triton_mm_724 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 2025-09-07T10:27:28.8525183Z triton_mm_725 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 2025-09-07T10:27:28.8526378Z triton_mm_716 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 2025-09-07T10:27:28.8527550Z triton_mm_717 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 2025-09-07T10:27:28.8528733Z triton_mm_721 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 2025-09-07T10:27:28.8529910Z triton_mm_723 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 2025-09-07T10:27:28.8531098Z triton_mm_722 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 2025-09-07T10:27:28.8531844Z bias_addmm 0.0123 ms 66.7% 2025-09-07T10:27:28.8532137Z addmm 0.0133 ms 61.5% 2025-09-07T10:27:28.8532670Z SingleProcess AUTOTUNE benchmarking takes 0.2165 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:27:29.4298441Z Autotune Choices Stats: 2025-09-07T10:27:29.4299665Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_1018", "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} 2025-09-07T10:27:29.4396466Z AUTOTUNE addmm(8x32, 8x720, 720x32) 2025-09-07T10:27:29.4397182Z strides: [0, 1], [720, 1], [1, 720] 2025-09-07T10:27:29.4397534Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:29.4398380Z triton_mm_1018 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 2025-09-07T10:27:29.4399592Z triton_mm_1024 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2 2025-09-07T10:27:29.4400796Z triton_mm_1025 0.0092 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:27:29.4401997Z triton_mm_1017 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 2025-09-07T10:27:29.4403186Z triton_mm_1016 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 2025-09-07T10:27:29.4404364Z triton_mm_1021 0.0113 ms 81.8% 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 2025-09-07T10:27:29.4405551Z triton_mm_1023 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 2025-09-07T10:27:29.4406311Z bias_addmm 0.0133 ms 69.2% 2025-09-07T10:27:29.4407028Z triton_mm_1022 0.0143 ms 64.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=2 2025-09-07T10:27:29.4407772Z addmm 0.0154 ms 60.0% 2025-09-07T10:27:29.4408305Z SingleProcess AUTOTUNE benchmarking takes 0.2186 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:27:29.6639546Z Autotune Choices Stats: 2025-09-07T10:27:29.6641156Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_658", "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} 2025-09-07T10:27:29.6734954Z AUTOTUNE addmm(8x24, 8x360, 360x24) 2025-09-07T10:27:29.6735307Z strides: [0, 1], [360, 1], [1, 360] 2025-09-07T10:27:29.6735662Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:29.6736469Z triton_mm_658 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 2025-09-07T10:27:29.6737678Z triton_mm_664 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 2025-09-07T10:27:29.6738890Z triton_mm_665 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 2025-09-07T10:27:29.6740077Z triton_mm_656 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 2025-09-07T10:27:29.6741250Z triton_mm_657 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 2025-09-07T10:27:29.6742420Z triton_mm_661 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 2025-09-07T10:27:29.6743588Z triton_mm_663 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 2025-09-07T10:27:29.6745033Z triton_mm_662 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 2025-09-07T10:27:29.6745784Z bias_addmm 0.0133 ms 61.5% 2025-09-07T10:27:29.6746496Z triton_mm_660 0.0133 ms 61.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:27:29.6747512Z SingleProcess AUTOTUNE benchmarking takes 0.2038 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:27:30.1328576Z Autotune Choices Stats: 2025-09-07T10:27:30.1329803Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_236", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:27:30.1428471Z AUTOTUNE addmm(8x16, 8x120, 120x16) 2025-09-07T10:27:30.1428891Z strides: [0, 1], [120, 1], [1, 120] 2025-09-07T10:27:30.1429255Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:30.1430101Z triton_mm_236 0.0072 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 2025-09-07T10:27:30.1431310Z triton_mm_237 0.0072 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 2025-09-07T10:27:30.1432518Z triton_mm_238 0.0072 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 2025-09-07T10:27:30.1433712Z triton_mm_241 0.0072 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 2025-09-07T10:27:30.1435228Z triton_mm_242 0.0072 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=3, num_warps=1 2025-09-07T10:27:30.1436419Z triton_mm_243 0.0072 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 2025-09-07T10:27:30.1437603Z triton_mm_245 0.0072 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 2025-09-07T10:27:30.1438783Z triton_mm_240 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:27:30.1439957Z triton_mm_244 0.0082 ms 87.5% 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 2025-09-07T10:27:30.1440717Z bias_addmm 0.0092 ms 77.8% 2025-09-07T10:27:30.1441264Z SingleProcess AUTOTUNE benchmarking takes 0.2169 seconds and 0.0004 seconds precompiling for 13 choices 2025-09-07T10:27:30.5689751Z Autotune Choices Stats: 2025-09-07T10:27:30.5690985Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_176", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:27:30.5789104Z AUTOTUNE addmm(8x8, 8x120, 120x8) 2025-09-07T10:27:30.5789448Z strides: [0, 1], [120, 1], [1, 120] 2025-09-07T10:27:30.5789808Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:30.5790631Z triton_mm_176 0.0072 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 2025-09-07T10:27:30.5797892Z triton_mm_177 0.0072 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 2025-09-07T10:27:30.5799097Z triton_mm_178 0.0072 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 2025-09-07T10:27:30.5800295Z triton_mm_181 0.0072 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 2025-09-07T10:27:30.5801481Z triton_mm_182 0.0072 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=3, num_warps=1 2025-09-07T10:27:30.5802667Z triton_mm_183 0.0072 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 2025-09-07T10:27:30.5803850Z triton_mm_184 0.0072 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 2025-09-07T10:27:30.5805036Z triton_mm_185 0.0072 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 2025-09-07T10:27:30.5806211Z triton_mm_180 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:27:30.5806964Z bias_addmm 0.0092 ms 77.8% 2025-09-07T10:27:30.5807527Z SingleProcess AUTOTUNE benchmarking takes 0.2142 seconds and 0.0003 seconds precompiling for 13 choices 2025-09-07T10:27:31.4290629Z Autotune Choices Stats: 2025-09-07T10:27:31.4292288Z {"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=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.01740800030529499, "best_triton_pos": 0} 2025-09-07T10:27:31.4395858Z AUTOTUNE mm(100352x16, 16x64) 2025-09-07T10:27:31.4396215Z strides: [16, 1], [1, 16] 2025-09-07T10:27:31.4396507Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:31.4397276Z triton_mm_27 0.0174 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 2025-09-07T10:27:31.4398475Z triton_mm_28 0.0174 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 2025-09-07T10:27:31.4399662Z triton_mm_30 0.0174 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 2025-09-07T10:27:31.4400868Z triton_mm_31 0.0174 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 2025-09-07T10:27:31.4402052Z triton_mm_32 0.0174 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 2025-09-07T10:27:31.4403243Z triton_mm_33 0.0174 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=8 2025-09-07T10:27:31.4404410Z triton_mm_34 0.0174 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 2025-09-07T10:27:31.4405581Z triton_mm_35 0.0174 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 2025-09-07T10:27:31.4407088Z triton_mm_37 0.0174 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 2025-09-07T10:27:31.4408279Z triton_mm_38 0.0174 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 2025-09-07T10:27:31.4409314Z SingleProcess AUTOTUNE benchmarking takes 0.2511 seconds and 0.0003 seconds precompiling for 16 choices 2025-09-07T10:27:31.6908866Z Autotune Choices Stats: 2025-09-07T10:27:31.6910047Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_46", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:27:31.7010926Z AUTOTUNE mm(25088x64, 64x24) 2025-09-07T10:27:31.7011267Z strides: [64, 1], [1, 64] 2025-09-07T10:27:31.7011563Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:31.7012331Z triton_mm_46 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 2025-09-07T10:27:31.7013759Z triton_mm_53 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 2025-09-07T10:27:31.7014512Z mm 0.0123 ms 91.7% 2025-09-07T10:27:31.7015189Z triton_mm_42 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 2025-09-07T10:27:31.7016363Z triton_mm_43 0.0123 ms 91.7% 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 2025-09-07T10:27:31.7017823Z triton_mm_45 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 2025-09-07T10:27:31.7019010Z triton_mm_47 0.0123 ms 91.7% 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 2025-09-07T10:27:31.7020185Z triton_mm_48 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=2, num_warps=4 2025-09-07T10:27:31.7021346Z triton_mm_49 0.0123 ms 91.7% 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 2025-09-07T10:27:31.7022499Z triton_mm_50 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=3, num_warps=4 2025-09-07T10:27:31.7023527Z SingleProcess AUTOTUNE benchmarking takes 0.2605 seconds and 0.0004 seconds precompiling for 18 choices 2025-09-07T10:27:31.9490222Z Autotune Choices Stats: 2025-09-07T10:27:31.9491435Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_65", "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": 0.009216000325977802, "best_triton_pos": 0} 2025-09-07T10:27:31.9592868Z AUTOTUNE mm(25088x24, 24x48) 2025-09-07T10:27:31.9593184Z strides: [24, 1], [1, 24] 2025-09-07T10:27:31.9593459Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:31.9594216Z triton_mm_65 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 2025-09-07T10:27:31.9595741Z triton_mm_66 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 2025-09-07T10:27:31.9596921Z triton_mm_68 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=4 2025-09-07T10:27:31.9598101Z triton_mm_69 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=4, num_warps=8 2025-09-07T10:27:31.9599284Z triton_mm_72 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 2025-09-07T10:27:31.9600448Z triton_mm_59 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 2025-09-07T10:27:31.9601629Z triton_mm_60 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 2025-09-07T10:27:31.9602790Z triton_mm_61 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 2025-09-07T10:27:31.9603955Z triton_mm_62 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 2025-09-07T10:27:31.9605124Z triton_mm_63 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 2025-09-07T10:27:31.9606126Z SingleProcess AUTOTUNE benchmarking takes 0.2573 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T10:27:32.2131009Z Autotune Choices Stats: 2025-09-07T10:27:32.2132426Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_75", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:27:32.2240027Z AUTOTUNE mm(25088x48, 48x24) 2025-09-07T10:27:32.2240347Z strides: [48, 1], [1, 48] 2025-09-07T10:27:32.2240647Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:32.2241394Z triton_mm_75 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 2025-09-07T10:27:32.2242588Z triton_mm_76 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 2025-09-07T10:27:32.2243773Z triton_mm_79 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 2025-09-07T10:27:32.2244969Z triton_mm_80 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 2025-09-07T10:27:32.2246136Z triton_mm_82 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 2025-09-07T10:27:32.2247311Z triton_mm_85 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 2025-09-07T10:27:32.2248491Z triton_mm_86 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 2025-09-07T10:27:32.2249885Z triton_mm_87 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 2025-09-07T10:27:32.2251079Z triton_mm_88 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 2025-09-07T10:27:32.2252275Z triton_mm_89 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=2, num_warps=8 2025-09-07T10:27:32.2253437Z SingleProcess AUTOTUNE benchmarking takes 0.2638 seconds and 0.0004 seconds precompiling for 18 choices 2025-09-07T10:27:32.4897298Z Autotune Choices Stats: 2025-09-07T10:27:32.4898509Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_168", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:27:32.5003312Z AUTOTUNE mm(25088x24, 24x120) 2025-09-07T10:27:32.5003657Z strides: [24, 1], [1, 24] 2025-09-07T10:27:32.5011416Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:32.5012313Z triton_mm_168 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:27:32.5013900Z triton_mm_174 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=5, num_warps=8 2025-09-07T10:27:32.5015111Z triton_mm_164 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:27:32.5016568Z triton_mm_166 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:27:32.5017773Z triton_mm_167 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=3, num_warps=4 2025-09-07T10:27:32.5018967Z triton_mm_169 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=4 2025-09-07T10:27:32.5020149Z triton_mm_171 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 2025-09-07T10:27:32.5021334Z triton_mm_172 0.0123 ms 91.7% 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 2025-09-07T10:27:32.5022537Z triton_mm_173 0.0123 ms 91.7% 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 2025-09-07T10:27:32.5023726Z triton_mm_160 0.0133 ms 84.6% 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 2025-09-07T10:27:32.5024727Z SingleProcess AUTOTUNE benchmarking takes 0.2639 seconds and 0.0004 seconds precompiling for 18 choices 2025-09-07T10:27:32.7154197Z Autotune Choices Stats: 2025-09-07T10:27:32.7155394Z {"num_choices": 14, "num_triton_choices": 12, "best_kernel": "triton_mm_188", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-07T10:27:32.7258615Z AUTOTUNE addmm(8x120, 8x8, 8x120) 2025-09-07T10:27:32.7258983Z strides: [0, 1], [8, 1], [1, 8] 2025-09-07T10:27:32.7259710Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:32.7260565Z triton_mm_188 0.0061 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 2025-09-07T10:27:32.7261770Z triton_mm_191 0.0061 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 2025-09-07T10:27:32.7262953Z triton_mm_195 0.0061 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 2025-09-07T10:27:32.7264153Z triton_mm_186 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:27:32.7265424Z triton_mm_187 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:27:32.7266611Z triton_mm_189 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:27:32.7267784Z triton_mm_190 0.0072 ms 85.7% 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 2025-09-07T10:27:32.7268972Z triton_mm_192 0.0072 ms 85.7% 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 2025-09-07T10:27:32.7270162Z triton_mm_193 0.0072 ms 85.7% 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 2025-09-07T10:27:32.7271527Z triton_mm_194 0.0072 ms 85.7% 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 2025-09-07T10:27:32.7272564Z SingleProcess AUTOTUNE benchmarking takes 0.2246 seconds and 0.0004 seconds precompiling for 14 choices 2025-09-07T10:27:32.9939349Z Autotune Choices Stats: 2025-09-07T10:27:32.9940550Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_199", "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} 2025-09-07T10:27:33.0046107Z AUTOTUNE mm(6272x120, 120x40) 2025-09-07T10:27:33.0046441Z strides: [120, 1], [1, 120] 2025-09-07T10:27:33.0046734Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:33.0047531Z triton_mm_199 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 2025-09-07T10:27:33.0048776Z triton_mm_202 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 2025-09-07T10:27:33.0049995Z triton_mm_206 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 2025-09-07T10:27:33.0051198Z triton_mm_210 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:27:33.0052406Z triton_mm_211 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:33.0054015Z triton_mm_214 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 2025-09-07T10:27:33.0055093Z mm 0.0113 ms 90.9% 2025-09-07T10:27:33.0055799Z triton_mm_201 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 2025-09-07T10:27:33.0056996Z triton_mm_205 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 2025-09-07T10:27:33.0058181Z triton_mm_207 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 2025-09-07T10:27:33.0059209Z SingleProcess AUTOTUNE benchmarking takes 0.2779 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:33.2856964Z Autotune Choices Stats: 2025-09-07T10:27:33.2858186Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_216", "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} 2025-09-07T10:27:33.2963008Z AUTOTUNE mm(6272x40, 40x120) 2025-09-07T10:27:33.2963329Z strides: [40, 1], [1, 40] 2025-09-07T10:27:33.2963607Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:33.2964365Z triton_mm_216 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 2025-09-07T10:27:33.2965559Z triton_mm_220 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 2025-09-07T10:27:33.2966749Z triton_mm_223 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 2025-09-07T10:27:33.2968192Z triton_mm_224 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 2025-09-07T10:27:33.2969378Z triton_mm_228 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 2025-09-07T10:27:33.2970576Z triton_mm_217 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 2025-09-07T10:27:33.2971756Z triton_mm_222 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 2025-09-07T10:27:33.2973188Z triton_mm_225 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 2025-09-07T10:27:33.2974382Z triton_mm_226 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 2025-09-07T10:27:33.2975561Z triton_mm_227 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 2025-09-07T10:27:33.2976593Z SingleProcess AUTOTUNE benchmarking takes 0.2908 seconds and 0.0004 seconds precompiling for 20 choices 2025-09-07T10:27:33.5112723Z Autotune Choices Stats: 2025-09-07T10:27:33.5113882Z {"num_choices": 14, "num_triton_choices": 12, "best_kernel": "triton_mm_246", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-07T10:27:33.5219635Z AUTOTUNE addmm(8x120, 8x16, 16x120) 2025-09-07T10:27:33.5220020Z strides: [0, 1], [16, 1], [1, 16] 2025-09-07T10:27:33.5220377Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:33.5221210Z triton_mm_246 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:27:33.5222404Z triton_mm_257 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:27:33.5223595Z triton_mm_247 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=2, num_warps=2 2025-09-07T10:27:33.5224857Z triton_mm_248 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=5, num_warps=4 2025-09-07T10:27:33.5226061Z triton_mm_249 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=5, num_warps=2 2025-09-07T10:27:33.5227254Z triton_mm_250 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 2025-09-07T10:27:33.5228427Z triton_mm_251 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=3, num_warps=4 2025-09-07T10:27:33.5229632Z triton_mm_252 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:33.5230824Z triton_mm_253 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:27:33.5232298Z triton_mm_254 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:27:33.5233343Z SingleProcess AUTOTUNE benchmarking takes 0.2247 seconds and 0.0004 seconds precompiling for 14 choices 2025-09-07T10:27:33.8310813Z Autotune Choices Stats: 2025-09-07T10:27:33.8311986Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_456", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:27:33.8417796Z AUTOTUNE mm(6272x40, 40x200) 2025-09-07T10:27:33.8418083Z strides: [40, 1], [1, 40] 2025-09-07T10:27:33.8418387Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:33.8419161Z triton_mm_456 0.0113 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 2025-09-07T10:27:33.8420366Z triton_mm_457 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 2025-09-07T10:27:33.8421550Z triton_mm_460 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 2025-09-07T10:27:33.8422730Z triton_mm_463 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:27:33.8423899Z triton_mm_464 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:27:33.8425404Z triton_mm_467 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 2025-09-07T10:27:33.8426607Z triton_mm_468 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=4, num_warps=4 2025-09-07T10:27:33.8427801Z triton_mm_469 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 2025-09-07T10:27:33.8428997Z triton_mm_470 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:27:33.8430196Z triton_mm_471 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:27:33.8431240Z SingleProcess AUTOTUNE benchmarking takes 0.2904 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:27:34.1099478Z Autotune Choices Stats: 2025-09-07T10:27:34.1100670Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_478", "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} 2025-09-07T10:27:34.1207589Z AUTOTUNE mm(1568x200, 200x72) 2025-09-07T10:27:34.1207937Z strides: [200, 1], [1, 200] 2025-09-07T10:27:34.1208236Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:34.1209002Z triton_mm_478 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 2025-09-07T10:27:34.1210529Z triton_mm_476 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 2025-09-07T10:27:34.1211743Z triton_mm_479 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 2025-09-07T10:27:34.1212484Z mm 0.0113 ms 81.8% 2025-09-07T10:27:34.1213601Z triton_mm_477 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:27:34.1214778Z triton_mm_482 0.0113 ms 81.8% 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 2025-09-07T10:27:34.1215970Z triton_mm_483 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:27:34.1217160Z triton_mm_485 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 2025-09-07T10:27:34.1218330Z triton_mm_486 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 2025-09-07T10:27:34.1219510Z triton_mm_487 0.0113 ms 81.8% 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 2025-09-07T10:27:34.1220534Z SingleProcess AUTOTUNE benchmarking takes 0.2781 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:34.3880419Z Autotune Choices Stats: 2025-09-07T10:27:34.3881646Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_493", "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} 2025-09-07T10:27:34.3988980Z AUTOTUNE mm(1568x72, 72x216) 2025-09-07T10:27:34.3989303Z strides: [72, 1], [1, 72] 2025-09-07T10:27:34.3989603Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:34.3990374Z triton_mm_493 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 2025-09-07T10:27:34.3991591Z triton_mm_494 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 2025-09-07T10:27:34.3992790Z triton_mm_496 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 2025-09-07T10:27:34.3994009Z triton_mm_497 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 2025-09-07T10:27:34.3995228Z triton_mm_501 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 2025-09-07T10:27:34.3996426Z triton_mm_502 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 2025-09-07T10:27:34.3997637Z triton_mm_503 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 2025-09-07T10:27:34.3998840Z triton_mm_505 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 2025-09-07T10:27:34.4000311Z triton_mm_506 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 2025-09-07T10:27:34.4001084Z mm 0.0102 ms 90.0% 2025-09-07T10:27:34.4001610Z SingleProcess AUTOTUNE benchmarking takes 0.2772 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:34.6669099Z Autotune Choices Stats: 2025-09-07T10:27:34.6670284Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_514", "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} 2025-09-07T10:27:34.6781448Z AUTOTUNE mm(1568x216, 216x72) 2025-09-07T10:27:34.6781848Z strides: [216, 1], [1, 216] 2025-09-07T10:27:34.6782144Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:34.6782923Z triton_mm_514 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 2025-09-07T10:27:34.6784133Z triton_mm_515 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 2025-09-07T10:27:34.6785404Z triton_mm_518 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 2025-09-07T10:27:34.6786141Z mm 0.0113 ms 81.8% 2025-09-07T10:27:34.6786828Z triton_mm_512 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 2025-09-07T10:27:34.6788009Z triton_mm_519 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:27:34.6789414Z triton_mm_521 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 2025-09-07T10:27:34.6790599Z triton_mm_522 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 2025-09-07T10:27:34.6791782Z triton_mm_524 0.0113 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:27:34.6792966Z triton_mm_513 0.0123 ms 75.0% 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 2025-09-07T10:27:34.6793983Z SingleProcess AUTOTUNE benchmarking takes 0.2784 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:34.9647274Z Autotune Choices Stats: 2025-09-07T10:27:34.9648475Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_646", "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} 2025-09-07T10:27:34.9757211Z AUTOTUNE mm(1568x72, 72x360) 2025-09-07T10:27:34.9757517Z strides: [72, 1], [1, 72] 2025-09-07T10:27:34.9757816Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:34.9758583Z triton_mm_646 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 2025-09-07T10:27:34.9759788Z triton_mm_649 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 2025-09-07T10:27:34.9761243Z triton_mm_637 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 2025-09-07T10:27:34.9762461Z triton_mm_638 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 2025-09-07T10:27:34.9763640Z triton_mm_641 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 2025-09-07T10:27:34.9764824Z triton_mm_643 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 2025-09-07T10:27:34.9765998Z triton_mm_644 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 2025-09-07T10:27:34.9767191Z triton_mm_645 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 2025-09-07T10:27:34.9768366Z triton_mm_647 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 2025-09-07T10:27:34.9769550Z triton_mm_648 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 2025-09-07T10:27:34.9770574Z SingleProcess AUTOTUNE benchmarking takes 0.2789 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:27:35.2057373Z Autotune Choices Stats: 2025-09-07T10:27:35.2058529Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_666", "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} 2025-09-07T10:27:35.2168129Z AUTOTUNE addmm(8x360, 8x24, 24x360) 2025-09-07T10:27:35.2168473Z strides: [0, 1], [24, 1], [1, 24] 2025-09-07T10:27:35.2168822Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:35.2169639Z triton_mm_666 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 2025-09-07T10:27:35.2170828Z triton_mm_667 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 2025-09-07T10:27:35.2172005Z triton_mm_668 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 2025-09-07T10:27:35.2173459Z triton_mm_669 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 2025-09-07T10:27:35.2174660Z triton_mm_670 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 2025-09-07T10:27:35.2175838Z triton_mm_671 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 2025-09-07T10:27:35.2177015Z triton_mm_672 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 2025-09-07T10:27:35.2178205Z triton_mm_673 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 2025-09-07T10:27:35.2179634Z triton_mm_674 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 2025-09-07T10:27:35.2180819Z triton_mm_676 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 2025-09-07T10:27:35.2181843Z SingleProcess AUTOTUNE benchmarking takes 0.2401 seconds and 0.0004 seconds precompiling for 15 choices 2025-09-07T10:27:35.4882149Z Autotune Choices Stats: 2025-09-07T10:27:35.4883347Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_682", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:27:35.4993850Z AUTOTUNE mm(1568x360, 360x120) 2025-09-07T10:27:35.4994207Z strides: [360, 1], [1, 360] 2025-09-07T10:27:35.4994587Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:35.4995384Z triton_mm_682 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:27:35.4996599Z triton_mm_683 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 2025-09-07T10:27:35.4997805Z triton_mm_686 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:27:35.4999004Z triton_mm_687 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 2025-09-07T10:27:35.5000246Z triton_mm_680 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 2025-09-07T10:27:35.5001757Z triton_mm_681 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 2025-09-07T10:27:35.5002964Z triton_mm_689 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 2025-09-07T10:27:35.5004169Z triton_mm_690 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 2025-09-07T10:27:35.5004927Z mm 0.0133 ms 84.6% 2025-09-07T10:27:35.5005631Z triton_mm_692 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:27:35.5006665Z SingleProcess AUTOTUNE benchmarking takes 0.2817 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:35.7662252Z Autotune Choices Stats: 2025-09-07T10:27:35.7663423Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_701", "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} 2025-09-07T10:27:35.7796630Z AUTOTUNE mm(1568x120, 120x360) 2025-09-07T10:27:35.7796914Z strides: [120, 1], [1, 120] 2025-09-07T10:27:35.7797211Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:35.7797977Z triton_mm_701 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 2025-09-07T10:27:35.7799175Z triton_mm_705 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 2025-09-07T10:27:35.7800643Z triton_mm_706 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:35.7801849Z triton_mm_707 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 2025-09-07T10:27:35.7803034Z triton_mm_708 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 2025-09-07T10:27:35.7804238Z triton_mm_709 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:35.7805433Z triton_mm_710 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:27:35.7806192Z mm 0.0113 ms 90.9% 2025-09-07T10:27:35.7806885Z triton_mm_698 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 2025-09-07T10:27:35.7808057Z triton_mm_703 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 2025-09-07T10:27:35.7809063Z SingleProcess AUTOTUNE benchmarking takes 0.2793 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:36.0088894Z Autotune Choices Stats: 2025-09-07T10:27:36.0090027Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_726", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:27:36.0200777Z AUTOTUNE addmm(8x360, 8x32, 32x360) 2025-09-07T10:27:36.0201137Z strides: [0, 1], [32, 1], [1, 32] 2025-09-07T10:27:36.0201505Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:36.0202312Z triton_mm_726 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:27:36.0203508Z triton_mm_727 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:27:36.0204691Z triton_mm_728 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:27:36.0205891Z triton_mm_729 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:27:36.0207079Z triton_mm_730 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:27:36.0208268Z triton_mm_731 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:27:36.0209462Z triton_mm_732 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:36.0210633Z triton_mm_733 0.0072 ms 100.0% 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=3, num_warps=4 2025-09-07T10:27:36.0212164Z triton_mm_734 0.0072 ms 100.0% 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 2025-09-07T10:27:36.0213649Z triton_mm_736 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:27:36.0214686Z SingleProcess AUTOTUNE benchmarking takes 0.2393 seconds and 0.0006 seconds precompiling for 15 choices 2025-09-07T10:27:36.3296139Z Autotune Choices Stats: 2025-09-07T10:27:36.3297349Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1012", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:27:36.3409303Z AUTOTUNE mm(1568x120, 120x720) 2025-09-07T10:27:36.3409633Z strides: [120, 1], [1, 120] 2025-09-07T10:27:36.3409963Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:36.3410770Z triton_mm_1012 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 2025-09-07T10:27:36.3411987Z triton_mm_1005 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 2025-09-07T10:27:36.3413561Z triton_mm_1009 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 2025-09-07T10:27:36.3414788Z triton_mm_1013 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:36.3415993Z triton_mm_1014 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:27:36.3417479Z triton_mm_1001 0.0133 ms 84.6% 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 2025-09-07T10:27:36.3418688Z triton_mm_1004 0.0133 ms 84.6% 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 2025-09-07T10:27:36.3419883Z triton_mm_1006 0.0133 ms 84.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:36.3421082Z triton_mm_1008 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 2025-09-07T10:27:36.3422303Z triton_mm_1011 0.0133 ms 84.6% 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 2025-09-07T10:27:36.3423379Z SingleProcess AUTOTUNE benchmarking takes 0.2808 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:27:36.5704090Z Autotune Choices Stats: 2025-09-07T10:27:36.5705388Z {"num_choices": 15, "num_triton_choices": 13, "best_kernel": "triton_mm_1026", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:27:36.5816878Z AUTOTUNE addmm(8x720, 8x32, 32x720) 2025-09-07T10:27:36.5817239Z strides: [0, 1], [32, 1], [1, 32] 2025-09-07T10:27:36.5817591Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:36.5818411Z triton_mm_1026 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:27:36.5819890Z triton_mm_1027 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:27:36.5821073Z triton_mm_1028 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:27:36.5822267Z triton_mm_1029 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:27:36.5823455Z triton_mm_1030 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:27:36.5824642Z triton_mm_1031 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:27:36.5825918Z triton_mm_1032 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:36.5827105Z triton_mm_1034 0.0072 ms 100.0% 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 2025-09-07T10:27:36.5828279Z triton_mm_1036 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:27:36.5829474Z triton_mm_1037 0.0072 ms 100.0% 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 2025-09-07T10:27:36.5830503Z SingleProcess AUTOTUNE benchmarking takes 0.2399 seconds and 0.0004 seconds precompiling for 15 choices 2025-09-07T10:27:36.8703872Z Autotune Choices Stats: 2025-09-07T10:27:36.8705170Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1043", "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} 2025-09-07T10:27:36.8822926Z AUTOTUNE mm(392x720, 720x184) 2025-09-07T10:27:36.8823250Z strides: [720, 1], [1, 720] 2025-09-07T10:27:36.8823541Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:36.8824318Z triton_mm_1043 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 2025-09-07T10:27:36.8825158Z mm 0.0123 ms 91.7% 2025-09-07T10:27:36.8825856Z triton_mm_1041 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 2025-09-07T10:27:36.8827096Z triton_mm_1047 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 2025-09-07T10:27:36.8828285Z triton_mm_1040 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 2025-09-07T10:27:36.8829478Z triton_mm_1042 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 2025-09-07T10:27:36.8830670Z triton_mm_1046 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 2025-09-07T10:27:36.8832153Z triton_mm_1049 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 2025-09-07T10:27:36.8833356Z triton_mm_1050 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 2025-09-07T10:27:36.8834547Z triton_mm_1052 0.0164 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:27:36.8835578Z SingleProcess AUTOTUNE benchmarking takes 0.2997 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:37.1497194Z Autotune Choices Stats: 2025-09-07T10:27:37.1498382Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1064", "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} 2025-09-07T10:27:37.1612333Z AUTOTUNE mm(392x184, 184x736) 2025-09-07T10:27:37.1612655Z strides: [184, 1], [1, 184] 2025-09-07T10:27:37.1613074Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:37.1613848Z triton_mm_1064 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 2025-09-07T10:27:37.1615061Z triton_mm_1065 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 2025-09-07T10:27:37.1616269Z triton_mm_1066 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:37.1617476Z triton_mm_1067 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 2025-09-07T10:27:37.1619066Z triton_mm_1068 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 2025-09-07T10:27:37.1620274Z triton_mm_1070 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:27:37.1621028Z mm 0.0113 ms 90.9% 2025-09-07T10:27:37.1621720Z triton_mm_1058 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 2025-09-07T10:27:37.1622910Z triton_mm_1059 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 2025-09-07T10:27:37.1624111Z triton_mm_1069 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 2025-09-07T10:27:37.1625215Z SingleProcess AUTOTUNE benchmarking takes 0.2780 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:37.4441342Z Autotune Choices Stats: 2025-09-07T10:27:37.4442551Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1090", "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": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:27:37.4558210Z AUTOTUNE addmm(8x736, 8x48, 48x736) 2025-09-07T10:27:37.4558587Z strides: [0, 1], [48, 1], [1, 48] 2025-09-07T10:27:37.4558930Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:37.4559753Z triton_mm_1090 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 2025-09-07T10:27:37.4561263Z triton_mm_1101 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 2025-09-07T10:27:37.4562476Z triton_mm_1102 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 2025-09-07T10:27:37.4563242Z bias_addmm 0.0082 ms 87.5% 2025-09-07T10:27:37.4563956Z triton_mm_1088 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:27:37.4565140Z triton_mm_1089 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:27:37.4566336Z triton_mm_1091 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 2025-09-07T10:27:37.4567537Z triton_mm_1092 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:27:37.4568718Z triton_mm_1093 0.0082 ms 87.5% 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 2025-09-07T10:27:37.4569897Z triton_mm_1094 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 2025-09-07T10:27:37.4570932Z SingleProcess AUTOTUNE benchmarking takes 0.2936 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:37.7348272Z Autotune Choices Stats: 2025-09-07T10:27:37.7349684Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_1109", "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} 2025-09-07T10:27:37.7464214Z AUTOTUNE mm(392x736, 736x184) 2025-09-07T10:27:37.7464574Z strides: [736, 1], [1, 736] 2025-09-07T10:27:37.7464958Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:37.7465732Z triton_mm_1109 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 2025-09-07T10:27:37.7466504Z mm 0.0123 ms 91.7% 2025-09-07T10:27:37.7467197Z triton_mm_1107 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 2025-09-07T10:27:37.7468414Z triton_mm_1108 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 2025-09-07T10:27:37.7469617Z triton_mm_1113 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 2025-09-07T10:27:37.7470808Z triton_mm_1106 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 2025-09-07T10:27:37.7472015Z triton_mm_1112 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 2025-09-07T10:27:37.7473213Z triton_mm_1115 0.0154 ms 73.3% 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 2025-09-07T10:27:37.7474744Z triton_mm_1116 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 2025-09-07T10:27:37.7475962Z triton_mm_1118 0.0174 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:27:37.7476998Z SingleProcess AUTOTUNE benchmarking takes 0.2896 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:38.0703832Z Autotune Choices Stats: 2025-09-07T10:27:38.0705108Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1432", "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=4, num_warps=4", "best_time": 0.0071680000983178616, "best_triton_pos": 0} 2025-09-07T10:27:38.0821778Z AUTOTUNE addmm(8x1104, 8x48, 48x1104) 2025-09-07T10:27:38.0822148Z strides: [0, 1], [48, 1], [1, 48] 2025-09-07T10:27:38.0822528Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:27:38.0823342Z triton_mm_1432 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 2025-09-07T10:27:38.0824540Z triton_mm_1418 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:27:38.0825804Z triton_mm_1419 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:27:38.0826993Z triton_mm_1420 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 2025-09-07T10:27:38.0828184Z triton_mm_1421 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 2025-09-07T10:27:38.0829686Z triton_mm_1422 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:27:38.0830854Z triton_mm_1423 0.0082 ms 87.5% 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 2025-09-07T10:27:38.0832060Z triton_mm_1424 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 2025-09-07T10:27:38.0833251Z triton_mm_1425 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 2025-09-07T10:27:38.0834461Z triton_mm_1426 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=5, num_warps=4 2025-09-07T10:27:38.0835484Z SingleProcess AUTOTUNE benchmarking takes 0.2942 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:27:38.3769688Z Autotune Choices Stats: 2025-09-07T10:27:38.3771159Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.013311999849975109, "best_triton_pos": 1, "best_triton_time": 0.013311999849975109, "best_triton_kernel": "triton_mm_1439", "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"} 2025-09-07T10:27:38.3887058Z AUTOTUNE mm(392x1104, 1104x224) 2025-09-07T10:27:38.3887415Z strides: [1104, 1], [1, 1104] 2025-09-07T10:27:38.3887712Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:38.3888047Z mm 0.0133 ms 100.0% 2025-09-07T10:27:38.3889096Z triton_mm_1439 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 2025-09-07T10:27:38.3890335Z triton_mm_1443 0.0154 ms 86.7% 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 2025-09-07T10:27:38.3891537Z triton_mm_1437 0.0164 ms 81.2% 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 2025-09-07T10:27:38.3892720Z triton_mm_1438 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 2025-09-07T10:27:38.3894091Z triton_mm_1436 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 2025-09-07T10:27:38.3895308Z triton_mm_1442 0.0184 ms 72.2% 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 2025-09-07T10:27:38.3896504Z triton_mm_1446 0.0205 ms 65.0% 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 2025-09-07T10:27:38.3897710Z triton_mm_1445 0.0215 ms 61.9% 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 2025-09-07T10:27:38.3898908Z triton_mm_1448 0.0246 ms 54.2% 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 2025-09-07T10:27:38.3899939Z SingleProcess AUTOTUNE benchmarking takes 0.3056 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:27:38.6566987Z Autotune Choices Stats: 2025-09-07T10:27:38.6568478Z {"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_1462", "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"} 2025-09-07T10:27:38.6684612Z AUTOTUNE mm(392x224, 224x1344) 2025-09-07T10:27:38.6684965Z strides: [224, 1], [1, 224] 2025-09-07T10:27:38.6685273Z dtypes: torch.float16, torch.float16 2025-09-07T10:27:38.6685578Z mm 0.0113 ms 100.0% 2025-09-07T10:27:38.6686317Z triton_mm_1462 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 2025-09-07T10:27:38.6687558Z triton_mm_1463 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 2025-09-07T10:27:38.6688794Z triton_mm_1464 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 2025-09-07T10:27:38.6690022Z triton_mm_1465 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 2025-09-07T10:27:38.6691253Z triton_mm_1466 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 2025-09-07T10:27:38.6692478Z triton_mm_1460 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 2025-09-07T10:27:38.6694267Z triton_mm_1468 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:27:38.6695532Z triton_mm_1454 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 2025-09-07T10:27:38.6696749Z triton_mm_1455 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 2025-09-07T10:27:38.6697776Z SingleProcess AUTOTUNE benchmarking takes 0.2767 seconds and 0.0004 seconds precompiling for 19 choices 2025-09-07T10:28:28.5429718Z pass 2025-09-07T10:28:35.3365037Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:28:35.3366463Z import pynvml # type: ignore[import] 2025-09-07T10:28:38.6991627Z 2025-09-07T10:28:40.2195326Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:28:40.2195719Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:28:40.2196043Z cuda train gernet_l 2025-09-07T10:29:07.5451414Z Autotune Choices Stats: 2025-09-07T10:29:07.5453365Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.02457600086927414, "best_triton_pos": 1, "best_triton_time": 0.04198399931192398, "best_triton_kernel": "triton_convolution2d_4", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:29:07.5567402Z AUTOTUNE convolution(8x3x256x256, 32x3x3x3) 2025-09-07T10:29:07.5567799Z strides: [196608, 1, 768, 3], [27, 1, 9, 3] 2025-09-07T10:29:07.5568517Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:07.5568838Z convolution 0.0246 ms 100.0% 2025-09-07T10:29:07.5569717Z triton_convolution2d_4 0.0420 ms 58.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:07.5571189Z triton_convolution2d_2 0.0461 ms 53.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:29:07.5572653Z triton_convolution2d_0 0.0471 ms 52.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:07.5574222Z triton_convolution2d_3 0.0532 ms 46.2% 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 2025-09-07T10:29:07.5575683Z triton_convolution2d_5 0.0543 ms 45.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:07.5577149Z triton_convolution2d_1 0.0553 ms 44.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:07.5578303Z SingleProcess AUTOTUNE benchmarking takes 0.1405 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:29:07.6988502Z Autotune Choices Stats: 2025-09-07T10:29:07.6990506Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.030719999223947525, "best_triton_pos": 1, "best_triton_time": 0.035840000957250595, "best_triton_kernel": "triton_convolution2d_9", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:29:07.7101962Z AUTOTUNE convolution(8x32x128x128, 128x32x3x3) 2025-09-07T10:29:07.7102377Z strides: [524288, 1, 4096, 32], [288, 1, 96, 32] 2025-09-07T10:29:07.7102722Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:07.7103044Z convolution 0.0307 ms 100.0% 2025-09-07T10:29:07.7103932Z triton_convolution2d_9 0.0358 ms 85.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:07.7105459Z triton_convolution2d_11 0.0379 ms 81.1% 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 2025-09-07T10:29:07.7106945Z triton_convolution2d_12 0.0379 ms 81.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:07.7108416Z triton_convolution2d_10 0.0440 ms 69.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:07.7109858Z triton_convolution2d_7 0.0471 ms 65.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:07.7111326Z triton_convolution2d_6 0.0594 ms 51.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:07.7112798Z triton_convolution2d_8 0.1024 ms 30.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:29:07.7114225Z SingleProcess AUTOTUNE benchmarking takes 0.1518 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:07.9168604Z Autotune Choices Stats: 2025-09-07T10:29:07.9170301Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.058368001133203506, "best_triton_pos": 1, "best_triton_time": 0.10035199671983719, "best_triton_kernel": "triton_convolution2d_16", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:29:07.9280546Z AUTOTUNE convolution(8x128x64x64, 128x128x3x3) 2025-09-07T10:29:07.9280946Z strides: [524288, 1, 8192, 128], [1152, 1, 384, 128] 2025-09-07T10:29:07.9281311Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:07.9281649Z convolution 0.0584 ms 100.0% 2025-09-07T10:29:07.9282548Z triton_convolution2d_16 0.1004 ms 58.2% 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 2025-09-07T10:29:07.9284030Z triton_convolution2d_19 0.1075 ms 54.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:07.9285505Z triton_convolution2d_18 0.1106 ms 52.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:07.9286955Z triton_convolution2d_17 0.1126 ms 51.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:07.9288690Z triton_convolution2d_14 0.1382 ms 42.2% 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 2025-09-07T10:29:07.9290161Z triton_convolution2d_13 0.1536 ms 38.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:07.9291637Z triton_convolution2d_15 0.3461 ms 16.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:29:07.9293004Z SingleProcess AUTOTUNE benchmarking takes 0.2164 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:08.0421055Z Autotune Choices Stats: 2025-09-07T10:29:08.0422365Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_24", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:29:08.0532972Z AUTOTUNE convolution(8x32x128x128, 128x32x1x1) 2025-09-07T10:29:08.0533354Z strides: [524288, 1, 4096, 32], [32, 1, 32, 32] 2025-09-07T10:29:08.0533701Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:08.0534601Z triton_convolution2d_24 0.0133 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:29:08.0536132Z triton_convolution2d_25 0.0133 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 2025-09-07T10:29:08.0537857Z triton_convolution2d_23 0.0143 ms 92.9% 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 2025-09-07T10:29:08.0539318Z triton_convolution2d_20 0.0174 ms 76.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:29:08.0540772Z triton_convolution2d_21 0.0174 ms 76.5% 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 2025-09-07T10:29:08.0542236Z triton_convolution2d_26 0.0174 ms 76.5% 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 2025-09-07T10:29:08.0543138Z convolution 0.0195 ms 68.4% 2025-09-07T10:29:08.0544012Z triton_convolution2d_22 0.0266 ms 50.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:29:08.0545218Z SingleProcess AUTOTUNE benchmarking takes 0.1237 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:08.2099233Z Autotune Choices Stats: 2025-09-07T10:29:08.2100863Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03481600061058998, "best_triton_pos": 1, "best_triton_time": 0.04403200000524521, "best_triton_kernel": "triton_convolution2d_31", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:29:08.2209900Z AUTOTUNE convolution(8x128x64x64, 192x128x3x3) 2025-09-07T10:29:08.2210331Z strides: [524288, 1, 8192, 128], [1152, 1, 384, 128] 2025-09-07T10:29:08.2210924Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:08.2211254Z convolution 0.0348 ms 100.0% 2025-09-07T10:29:08.2212121Z triton_convolution2d_31 0.0440 ms 79.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:08.2213831Z triton_convolution2d_30 0.0594 ms 58.6% 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 2025-09-07T10:29:08.2215316Z triton_convolution2d_33 0.0594 ms 58.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:08.2216788Z triton_convolution2d_32 0.0625 ms 55.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:08.2218260Z triton_convolution2d_28 0.0768 ms 45.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:08.2219729Z triton_convolution2d_27 0.0788 ms 44.2% 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 2025-09-07T10:29:08.2221200Z triton_convolution2d_29 0.1311 ms 26.6% 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 2025-09-07T10:29:08.2222360Z SingleProcess AUTOTUNE benchmarking takes 0.1670 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:08.3986007Z Autotune Choices Stats: 2025-09-07T10:29:08.3987634Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.053247999399900436, "best_triton_pos": 1, "best_triton_time": 0.05939200147986412, "best_triton_kernel": "triton_convolution2d_38", "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"} 2025-09-07T10:29:08.4098086Z AUTOTUNE convolution(8x192x32x32, 192x192x3x3) 2025-09-07T10:29:08.4098515Z strides: [196608, 1, 6144, 192], [1728, 1, 576, 192] 2025-09-07T10:29:08.4098882Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:08.4099205Z convolution 0.0532 ms 100.0% 2025-09-07T10:29:08.4100073Z triton_convolution2d_38 0.0594 ms 89.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:08.4101575Z triton_convolution2d_37 0.0809 ms 65.8% 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 2025-09-07T10:29:08.4103049Z triton_convolution2d_40 0.0809 ms 65.8% 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 2025-09-07T10:29:08.4104517Z triton_convolution2d_39 0.0840 ms 63.4% 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 2025-09-07T10:29:08.4106050Z triton_convolution2d_35 0.1055 ms 50.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:08.4107821Z triton_convolution2d_34 0.1096 ms 48.6% 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 2025-09-07T10:29:08.4109306Z triton_convolution2d_36 0.1853 ms 28.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:29:08.4110475Z SingleProcess AUTOTUNE benchmarking takes 0.1873 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:08.5230149Z Autotune Choices Stats: 2025-09-07T10:29:08.5231448Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_45", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:29:08.5344721Z AUTOTUNE convolution(8x128x64x64, 192x128x1x1) 2025-09-07T10:29:08.5345144Z strides: [524288, 1, 8192, 128], [128, 1, 128, 128] 2025-09-07T10:29:08.5345510Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:08.5346422Z triton_convolution2d_45 0.0133 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:29:08.5347898Z triton_convolution2d_44 0.0143 ms 92.9% 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 2025-09-07T10:29:08.5349372Z triton_convolution2d_47 0.0143 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 2025-09-07T10:29:08.5351137Z triton_convolution2d_46 0.0154 ms 86.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:29:08.5352045Z convolution 0.0164 ms 81.2% 2025-09-07T10:29:08.5352920Z triton_convolution2d_42 0.0164 ms 81.2% 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 2025-09-07T10:29:08.5354386Z triton_convolution2d_41 0.0174 ms 76.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:29:08.5355860Z triton_convolution2d_43 0.0225 ms 59.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:29:08.5357033Z SingleProcess AUTOTUNE benchmarking takes 0.1231 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:08.7986684Z Autotune Choices Stats: 2025-09-07T10:29:08.7987847Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_74", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:29:08.8099508Z AUTOTUNE mm(8192x192, 192x160) 2025-09-07T10:29:08.8099815Z strides: [192, 1], [1, 192] 2025-09-07T10:29:08.8100113Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:08.8100874Z triton_mm_74 0.0133 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:08.8102303Z triton_mm_75 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:29:08.8103058Z mm 0.0164 ms 81.2% 2025-09-07T10:29:08.8103737Z triton_mm_68 0.0164 ms 81.2% 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 2025-09-07T10:29:08.8104954Z triton_mm_77 0.0164 ms 81.2% 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 2025-09-07T10:29:08.8106134Z triton_mm_65 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=5, num_warps=8 2025-09-07T10:29:08.8107296Z triton_mm_69 0.0174 ms 76.5% 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 2025-09-07T10:29:08.8108474Z triton_mm_73 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:08.8109656Z triton_mm_78 0.0174 ms 76.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:08.8110823Z triton_mm_71 0.0184 ms 72.2% 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 2025-09-07T10:29:08.8111834Z SingleProcess AUTOTUNE benchmarking takes 0.2672 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:29:08.9718699Z Autotune Choices Stats: 2025-09-07T10:29:08.9720315Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.028672000393271446, "best_triton_pos": 1, "best_triton_time": 0.04505600035190582, "best_triton_kernel": "triton_convolution2d_84", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:29:08.9830344Z AUTOTUNE convolution(8x160x32x32, 160x160x3x3) 2025-09-07T10:29:08.9830775Z strides: [163840, 1, 5120, 160], [1440, 1, 480, 160] 2025-09-07T10:29:08.9831139Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:08.9831442Z convolution 0.0287 ms 100.0% 2025-09-07T10:29:08.9832306Z triton_convolution2d_84 0.0451 ms 63.6% 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 2025-09-07T10:29:08.9833773Z triton_convolution2d_85 0.0655 ms 43.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:08.9835256Z triton_convolution2d_83 0.0676 ms 42.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:08.9836726Z triton_convolution2d_86 0.0696 ms 41.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:08.9838186Z triton_convolution2d_80 0.0840 ms 34.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:08.9839646Z triton_convolution2d_81 0.0891 ms 32.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:08.9841291Z triton_convolution2d_82 0.1628 ms 17.6% 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 2025-09-07T10:29:08.9842455Z SingleProcess AUTOTUNE benchmarking takes 0.1724 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:09.2345562Z Autotune Choices Stats: 2025-09-07T10:29:09.2346711Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_96", "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": 0.011264000087976456, "best_triton_pos": 0} 2025-09-07T10:29:09.2459240Z AUTOTUNE mm(2048x160, 160x640) 2025-09-07T10:29:09.2459538Z strides: [160, 1], [1, 160] 2025-09-07T10:29:09.2459831Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:09.2460600Z triton_mm_96 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 2025-09-07T10:29:09.2461812Z triton_mm_99 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 2025-09-07T10:29:09.2462995Z triton_mm_97 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 2025-09-07T10:29:09.2464171Z triton_mm_100 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 2025-09-07T10:29:09.2465381Z triton_mm_102 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:09.2466793Z triton_mm_103 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:09.2467544Z mm 0.0133 ms 84.6% 2025-09-07T10:29:09.2468226Z triton_mm_93 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 2025-09-07T10:29:09.2469382Z triton_mm_94 0.0133 ms 84.6% 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 2025-09-07T10:29:09.2470547Z triton_mm_98 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 2025-09-07T10:29:09.2471548Z SingleProcess AUTOTUNE benchmarking takes 0.2614 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:29:09.3596707Z Autotune Choices Stats: 2025-09-07T10:29:09.3597989Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_109", "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": 0.014336000196635723, "best_triton_pos": 0} 2025-09-07T10:29:09.3707640Z AUTOTUNE convolution(8x192x32x32, 640x192x1x1) 2025-09-07T10:29:09.3708066Z strides: [196608, 1, 6144, 192], [192, 1, 192, 192] 2025-09-07T10:29:09.3708437Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:09.3709330Z triton_convolution2d_109 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:29:09.3710831Z triton_convolution2d_108 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:29:09.3712508Z triton_convolution2d_110 0.0154 ms 93.3% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:29:09.3713416Z convolution 0.0164 ms 87.5% 2025-09-07T10:29:09.3714289Z triton_convolution2d_111 0.0164 ms 87.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:29:09.3715758Z triton_convolution2d_105 0.0184 ms 77.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:29:09.3717231Z triton_convolution2d_106 0.0184 ms 77.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:29:09.3718709Z triton_convolution2d_107 0.0297 ms 48.3% 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 2025-09-07T10:29:09.3719859Z SingleProcess AUTOTUNE benchmarking takes 0.1242 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:10.1266528Z Autotune Choices Stats: 2025-09-07T10:29:10.1267732Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_120", "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": 0.013311999849975109, "best_triton_pos": 0} 2025-09-07T10:29:10.1383453Z AUTOTUNE mm(2048x640, 640x160) 2025-09-07T10:29:10.1383815Z strides: [640, 1], [1, 640] 2025-09-07T10:29:10.1387657Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:10.1388447Z triton_mm_120 0.0133 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 2025-09-07T10:29:10.1389634Z triton_mm_119 0.0143 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:29:10.1390790Z triton_mm_113 0.0154 ms 86.7% 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 2025-09-07T10:29:10.1391961Z triton_mm_116 0.0154 ms 86.7% 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 2025-09-07T10:29:10.1393127Z triton_mm_123 0.0154 ms 86.7% 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 2025-09-07T10:29:10.1394307Z triton_mm_114 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 2025-09-07T10:29:10.1395469Z triton_mm_115 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 2025-09-07T10:29:10.1396631Z triton_mm_122 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:29:10.1397802Z triton_mm_125 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:29:10.1398525Z mm 0.0174 ms 76.5% 2025-09-07T10:29:10.1399053Z SingleProcess AUTOTUNE benchmarking takes 0.7669 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:29:10.2987124Z Autotune Choices Stats: 2025-09-07T10:29:10.2988776Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.02252800017595291, "best_triton_pos": 1, "best_triton_time": 0.04403200000524521, "best_triton_kernel": "triton_convolution2d_134", "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"} 2025-09-07T10:29:10.3100566Z AUTOTUNE convolution(8x160x16x16, 160x160x3x3) 2025-09-07T10:29:10.3100991Z strides: [40960, 1, 2560, 160], [1440, 1, 480, 160] 2025-09-07T10:29:10.3101360Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:10.3101673Z convolution 0.0225 ms 100.0% 2025-09-07T10:29:10.3102564Z triton_convolution2d_134 0.0440 ms 51.2% 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 2025-09-07T10:29:10.3104047Z triton_convolution2d_135 0.0655 ms 34.4% 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 2025-09-07T10:29:10.3105581Z triton_convolution2d_133 0.0666 ms 33.8% 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 2025-09-07T10:29:10.3107060Z triton_convolution2d_136 0.0676 ms 33.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:29:10.3108542Z triton_convolution2d_130 0.0829 ms 27.2% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:10.3110207Z triton_convolution2d_131 0.0891 ms 25.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:29:10.3111674Z triton_convolution2d_132 0.1475 ms 15.3% 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 2025-09-07T10:29:10.3112838Z SingleProcess AUTOTUNE benchmarking takes 0.1711 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:10.6902665Z Autotune Choices Stats: 2025-09-07T10:29:10.6903858Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_338", "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": 0.03686400130391121, "best_triton_pos": 0} 2025-09-07T10:29:10.7017480Z AUTOTUNE mm(2048x640, 640x1920) 2025-09-07T10:29:10.7017792Z strides: [640, 1], [1, 640] 2025-09-07T10:29:10.7018073Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:10.7018836Z triton_mm_338 0.0369 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 2025-09-07T10:29:10.7019595Z mm 0.0379 ms 97.3% 2025-09-07T10:29:10.7020288Z triton_mm_336 0.0379 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:10.7021458Z triton_mm_339 0.0379 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:10.7022897Z triton_mm_343 0.0399 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 2025-09-07T10:29:10.7024085Z triton_mm_342 0.0420 ms 87.8% 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 2025-09-07T10:29:10.7025325Z triton_mm_337 0.0430 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:29:10.7026503Z triton_mm_340 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 2025-09-07T10:29:10.7027676Z triton_mm_344 0.0440 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:29:10.7028854Z triton_mm_334 0.0471 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:29:10.7029870Z SingleProcess AUTOTUNE benchmarking takes 0.3467 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:29:10.9993529Z Autotune Choices Stats: 2025-09-07T10:29:10.9994995Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.018432000651955605, "best_triton_pos": 1, "best_triton_time": 0.018432000651955605, "best_triton_kernel": "triton_mm_353", "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"} 2025-09-07T10:29:11.0108757Z AUTOTUNE mm(512x1920, 1920x640) 2025-09-07T10:29:11.0109076Z strides: [1920, 1], [1, 1920] 2025-09-07T10:29:11.0109382Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:11.0109899Z mm 0.0184 ms 100.0% 2025-09-07T10:29:11.0110624Z triton_mm_353 0.0184 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 2025-09-07T10:29:11.0111801Z triton_mm_352 0.0246 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 2025-09-07T10:29:11.0112968Z triton_mm_349 0.0256 ms 72.0% 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 2025-09-07T10:29:11.0114133Z triton_mm_346 0.0276 ms 66.7% 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 2025-09-07T10:29:11.0115301Z triton_mm_356 0.0276 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 2025-09-07T10:29:11.0116490Z triton_mm_355 0.0307 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 2025-09-07T10:29:11.0117640Z triton_mm_347 0.0317 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:29:11.0118802Z triton_mm_348 0.0317 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:29:11.0119961Z triton_mm_358 0.0317 ms 58.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:29:11.0120983Z SingleProcess AUTOTUNE benchmarking takes 0.3085 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:29:11.1392260Z Autotune Choices Stats: 2025-09-07T10:29:11.1394242Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.023552000522613525, "best_triton_kernel": "triton_convolution2d_367", "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"} 2025-09-07T10:29:11.1505311Z AUTOTUNE convolution(8x640x16x16, 640x640x1x1) 2025-09-07T10:29:11.1505741Z strides: [163840, 1, 10240, 640], [640, 1, 640, 640] 2025-09-07T10:29:11.1506104Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:11.1506416Z convolution 0.0143 ms 100.0% 2025-09-07T10:29:11.1507298Z triton_convolution2d_367 0.0236 ms 60.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:29:11.1508810Z triton_convolution2d_366 0.0317 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:29:11.1510289Z triton_convolution2d_368 0.0317 ms 45.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:29:11.1511753Z triton_convolution2d_369 0.0338 ms 42.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:29:11.1513223Z triton_convolution2d_363 0.0399 ms 35.9% 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 2025-09-07T10:29:11.1514885Z triton_convolution2d_364 0.0420 ms 34.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:29:11.1516356Z triton_convolution2d_365 0.0625 ms 23.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:29:11.1517518Z SingleProcess AUTOTUNE benchmarking takes 0.1380 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:29:11.4194696Z Autotune Choices Stats: 2025-09-07T10:29:11.4195888Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_387", "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": 0.018432000651955605, "best_triton_pos": 0} 2025-09-07T10:29:11.4311382Z AUTOTUNE mm(512x640, 640x1920) 2025-09-07T10:29:11.4311755Z strides: [640, 1], [1, 640] 2025-09-07T10:29:11.4312046Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:11.4312829Z triton_mm_387 0.0184 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:29:11.4313590Z mm 0.0195 ms 94.7% 2025-09-07T10:29:11.4314279Z triton_mm_381 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.4315464Z triton_mm_386 0.0195 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.4316624Z triton_mm_377 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:29:11.4318158Z triton_mm_379 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.4319328Z triton_mm_382 0.0205 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.4320512Z triton_mm_380 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:29:11.4321696Z triton_mm_385 0.0215 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.4322876Z triton_mm_383 0.0225 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:29:11.4323890Z SingleProcess AUTOTUNE benchmarking takes 0.2790 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:29:11.7576625Z Autotune Choices Stats: 2025-09-07T10:29:11.7578064Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "mm", "best_time": 0.01945599913597107, "best_triton_pos": 1, "best_triton_time": 0.01945599913597107, "best_triton_kernel": "triton_mm_669", "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"} 2025-09-07T10:29:11.7693333Z AUTOTUNE mm(512x640, 640x2560) 2025-09-07T10:29:11.7693642Z strides: [640, 1], [1, 640] 2025-09-07T10:29:11.7693942Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:11.7694244Z mm 0.0195 ms 100.0% 2025-09-07T10:29:11.7694953Z triton_mm_669 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.7696397Z triton_mm_675 0.0195 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:29:11.7697580Z triton_mm_665 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:29:11.7698758Z triton_mm_674 0.0205 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.7699929Z triton_mm_667 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.7701119Z triton_mm_670 0.0215 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.7702294Z triton_mm_668 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:29:11.7703467Z triton_mm_671 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:29:11.7704684Z triton_mm_673 0.0225 ms 86.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:11.7705721Z SingleProcess AUTOTUNE benchmarking takes 0.2833 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:29:12.0870451Z Autotune Choices Stats: 2025-09-07T10:29:12.0872012Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_680", "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} 2025-09-07T10:29:12.0990548Z AUTOTUNE addmm(8x1000, 8x2560, 2560x1000) 2025-09-07T10:29:12.0990928Z strides: [0, 1], [2560, 1], [1, 2560] 2025-09-07T10:29:12.0991275Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:29:12.0992102Z triton_mm_680 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 2025-09-07T10:29:12.0993298Z triton_mm_684 0.0154 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:29:12.0994049Z bias_addmm 0.0205 ms 70.0% 2025-09-07T10:29:12.0994793Z triton_mm_688 0.0205 ms 70.0% 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 2025-09-07T10:29:12.0995990Z triton_mm_692 0.0215 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:29:12.0996736Z addmm 0.0225 ms 63.6% 2025-09-07T10:29:12.0997437Z triton_mm_679 0.0236 ms 60.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-07T10:29:12.0998607Z triton_mm_677 0.0256 ms 56.0% 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 2025-09-07T10:29:12.0999780Z triton_mm_678 0.0256 ms 56.0% 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 2025-09-07T10:29:12.1001233Z triton_mm_683 0.0256 ms 56.0% 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 2025-09-07T10:29:12.1002247Z SingleProcess AUTOTUNE benchmarking takes 0.3280 seconds and 0.0003 seconds precompiling for 19 choices 2025-09-07T10:29:26.2581875Z Autotune Choices Stats: 2025-09-07T10:29:26.2583104Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_712", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.010239999741315842, "best_triton_pos": 0} 2025-09-07T10:29:26.2709624Z AUTOTUNE mm(1000x8, 8x2560) 2025-09-07T10:29:26.2709923Z strides: [1, 1000], [2560, 1] 2025-09-07T10:29:26.2710226Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:26.2711003Z triton_mm_712 0.0102 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 2025-09-07T10:29:26.2712207Z triton_mm_715 0.0102 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 2025-09-07T10:29:26.2713392Z triton_mm_716 0.0102 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 2025-09-07T10:29:26.2714576Z triton_mm_717 0.0102 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 2025-09-07T10:29:26.2715764Z triton_mm_718 0.0102 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 2025-09-07T10:29:26.2717321Z triton_mm_719 0.0102 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 2025-09-07T10:29:26.2718528Z triton_mm_720 0.0102 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 2025-09-07T10:29:26.2719716Z triton_mm_721 0.0102 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 2025-09-07T10:29:26.2720906Z triton_mm_722 0.0102 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 2025-09-07T10:29:26.2722100Z triton_mm_723 0.0102 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-07T10:29:26.2723146Z SingleProcess AUTOTUNE benchmarking takes 0.2617 seconds and 0.0004 seconds precompiling for 17 choices 2025-09-07T10:29:27.0611866Z Autotune Choices Stats: 2025-09-07T10:29:27.0613334Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_701", "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} 2025-09-07T10:29:27.0730235Z AUTOTUNE mm(8x1000, 1000x2560) 2025-09-07T10:29:27.0730578Z strides: [1000, 1], [2560, 1] 2025-09-07T10:29:27.0730884Z dtypes: torch.float16, torch.float16 2025-09-07T10:29:27.0731671Z triton_mm_701 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 2025-09-07T10:29:27.0733038Z triton_mm_697 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 2025-09-07T10:29:27.0735326Z triton_mm_705 0.0143 ms 92.9% 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 2025-09-07T10:29:27.0737203Z triton_mm_709 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 2025-09-07T10:29:27.0738366Z mm 0.0154 ms 86.7% 2025-09-07T10:29:27.0739329Z triton_mm_695 0.0154 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:29:27.0740511Z triton_mm_700 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 2025-09-07T10:29:27.0741706Z triton_mm_696 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 2025-09-07T10:29:27.0742886Z triton_mm_704 0.0164 ms 81.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:29:27.0744044Z triton_mm_707 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 2025-09-07T10:29:27.0745182Z SingleProcess AUTOTUNE benchmarking takes 0.2583 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:29:34.2348262Z pass 2025-09-07T10:29:38.3663519Z accuracy pass_rate=100.00% 2025-09-07T10:29:38.3669449Z calls_captured gmean=837.90x mean=990.100x 2025-09-07T10:29:38.3674187Z unique_graphs gmean=2.81x mean=2.900x 2025-09-07T10:29:38.3678552Z graph_breaks gmean=6.68x mean=6.700x 2025-09-07T10:29:38.3690435Z unique_graph_breaks gmean=5.00x mean=5.000x 2025-09-07T10:29:38.3690999Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:29:38.3691696Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:29:38.3696460Z cudagraph_skips gmean=0.00x mean=0.100x 2025-09-07T10:29:38.3697871Z compilation_latency mean=90.795 seconds 2025-09-07T10:29:39.5594049Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cudagraphs_low_precision-true* ]] 2025-09-07T10:29:39.5595556Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:29:39.5595887Z + for target in "${targets[@]}" 2025-09-07T10:29:39.5596195Z + target_flag=('--performance') 2025-09-07T10:29:39.5596482Z + local target_flag 2025-09-07T10:29:39.5596746Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T10:29:39.5597128Z + target_flag+=(--cold-start-latency) 2025-09-07T10:29:39.5598502Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *freezing-true* ]] 2025-09-07T10:29:39.5600880Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *default-true* ]] 2025-09-07T10:29:39.5610478Z + python benchmarks/dynamo/timm_models.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 6 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.csv 2025-09-07T10:29:40.6164205Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:29:40.6166006Z import pynvml # type: ignore[import] 2025-09-07T10:29:45.4628351Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:29:45.4629761Z import pynvml # type: ignore[import] 2025-09-07T10:29:48.7575029Z 2025-09-07T10:29:50.8010487Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:29:50.8010868Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:29:50.8011209Z cuda train deit_base_distilled_patch16_224 2025-09-07T10:30:17.6663720Z W0907 10:30:17.665000 107770 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:30:44.5314791Z 2025-09-07T10:30:44.7687023Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:33:22.9077486Z 2025-09-07T10:33:23.2772561Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:35:18.1652713Z 2025-09-07T10:35:18.4934969Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:38:45.3333942Z 2025-09-07T10:38:45.6543012Z running benchmark: 0% 0/30 [00:00 will be ignored 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[00:00 will be ignored 2025-09-07T12:02:54.8369815Z 2025-09-07T12:02:55.2425830Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:04:40.0855321Z 2025-09-07T12:04:40.4713685Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T12:07:10.1010978Z 2025-09-07T12:07:10.8348955Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T14:00:29.8910830Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T14:00:29.8924148Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:00:29.8924538Z env: 2025-09-07T14:00:29.8924765Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:00:29.8925111Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:00:29.8925580Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:00:29.8926162Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:00:29.8926667Z ##[endgroup] 2025-09-07T14:00:29.8956527Z + [[ -n '' ]] 2025-09-07T14:00:29.8956895Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T14:00:30.2044252Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T14:00:30.9862568Z Collecting boto3==1.35.33 2025-09-07T14:00:31.0597542Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T14:00:31.0977863Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 3.7 MB/s eta 0:00:00 2025-09-07T14:00:31.2568534Z Collecting psutil==7.0.0 2025-09-07T14:00:31.2676736Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T14:00:31.3070158Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 7.2 MB/s eta 0:00:00 2025-09-07T14:00:31.3284233Z Collecting pynvml==12.0.0 2025-09-07T14:00:31.3406388Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T14:00:32.1359644Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T14:00:32.1468860Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T14:00:32.6050052Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 38.2 MB/s eta 0:00:00 2025-09-07T14:00:32.6809267Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T14:00:32.6916393Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T14:00:32.6993797Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 12.1 MB/s eta 0:00:00 2025-09-07T14:00:32.7219205Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T14:00:32.7330015Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T14:00:32.7802614Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T14:00:32.7924398Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T14:00:32.7994003Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 7.1 MB/s eta 0:00:00 2025-09-07T14:00:32.8065681Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.5) 2025-09-07T14:00:32.8074053Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T14:00:33.0809359Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T14:00:33.0810115Z Attempting uninstall: nvidia-ml-py 2025-09-07T14:00:33.0815973Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T14:00:33.0853079Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T14:00:33.0876378Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T14:00:33.1594156Z Attempting uninstall: psutil 2025-09-07T14:00:33.1601339Z Found existing installation: psutil 5.9.8 2025-09-07T14:00:33.1749600Z Uninstalling psutil-5.9.8: 2025-09-07T14:00:33.1757779Z Successfully uninstalled psutil-5.9.8 2025-09-07T14:00:33.8917868Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T14:00:34.0029391Z + DEVICE_NAME= 2025-09-07T14:00:34.0029639Z + DEVICE_TYPE= 2025-09-07T14:00:34.0029882Z + command -v nvidia-smi 2025-09-07T14:00:34.0030433Z + python3 -mpip install torch==2.7.1 2025-09-07T14:00:34.0030749Z /usr/bin/nvidia-smi 2025-09-07T14:00:34.3078144Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T14:00:34.5567974Z Collecting torch==2.7.1 2025-09-07T14:00:34.6368358Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T14:00:46.2566038Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 1.3 MB/s eta 0:00:00 2025-09-07T14:00:48.4479651Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T14:00:48.4626635Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T14:00:48.8660567Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 48.0 MB/s eta 0:00:00 2025-09-07T14:00:49.0333360Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T14:00:49.0471442Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T14:00:49.2319610Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 85.0 MB/s eta 0:00:00 2025-09-07T14:00:49.3193616Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T14:00:49.3321810Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T14:00:54.1553825Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 3.1 MB/s eta 0:00:00 2025-09-07T14:00:55.1704608Z Collecting triton==3.3.1 2025-09-07T14:00:55.1820310Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T14:00:56.4081347Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 16.3 MB/s eta 0:00:00 2025-09-07T14:00:56.8234054Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T14:00:56.8355554Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T14:00:58.6986686Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 9.4 MB/s eta 0:00:00 2025-09-07T14:00:59.2389017Z Collecting sympy>=1.13.3 2025-09-07T14:00:59.2498018Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T14:00:59.2993823Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 132.1 MB/s eta 0:00:00 2025-09-07T14:00:59.3683016Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T14:00:59.3826286Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T14:01:01.2694215Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 9.5 MB/s eta 0:00:00 2025-09-07T14:01:01.7919667Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T14:01:01.8066122Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T14:01:03.0713540Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 15.9 MB/s eta 0:00:00 2025-09-07T14:01:03.4959844Z Collecting jinja2 2025-09-07T14:01:03.5077186Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T14:01:03.5157923Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 20.3 MB/s eta 0:00:00 2025-09-07T14:01:03.5417486Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T14:01:03.5562591Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T14:01:07.5975449Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 3.2 MB/s eta 0:00:00 2025-09-07T14:01:08.3278844Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T14:01:08.3404191Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T14:01:08.4500672Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 734.2 kB/s eta 0:00:00 2025-09-07T14:01:08.5860770Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T14:01:08.6001818Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T14:01:11.7602089Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 4.0 MB/s eta 0:00:00 2025-09-07T14:01:12.3908551Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T14:01:12.4047791Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T14:01:12.7043825Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 29.9 MB/s eta 0:00:00 2025-09-07T14:01:12.8592699Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T14:01:12.8730228Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T14:01:20.2356832Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 2.0 MB/s eta 0:00:00 2025-09-07T14:01:21.8257060Z Collecting networkx 2025-09-07T14:01:21.8367491Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T14:01:22.0011330Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 10.5 MB/s eta 0:00:00 2025-09-07T14:01:22.1362165Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T14:01:22.1491491Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T14:01:22.3304891Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 6.3 MB/s eta 0:00:00 2025-09-07T14:01:22.4924529Z Collecting fsspec 2025-09-07T14:01:22.5031435Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T14:01:22.6767820Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 1.1 MB/s eta 0:00:00 2025-09-07T14:01:22.8310406Z Collecting filelock 2025-09-07T14:01:22.8415874Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T14:01:22.9539947Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/eve/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T14:01:23.0536998Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T14:01:23.0667645Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T14:01:23.4953345Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 26.2 MB/s eta 0:00:00 2025-09-07T14:01:23.5919946Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T14:01:23.6029539Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T14:01:23.6167571Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 75.4 MB/s eta 0:00:00 2025-09-07T14:01:23.6473355Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3/dist-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-09-07T14:01:23.6922059Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T14:01:23.7028996Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T14:01:23.7137946Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 58.2 MB/s eta 0:00:00 2025-09-07T14:01:23.9183611Z Collecting MarkupSafe>=2.0 2025-09-07T14:01:23.9292059Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T14:01:24.2954604Z Installing collected packages: nvidia-cusparselt-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch 2025-09-07T14:01:28.8235319Z WARNING: The scripts proton and proton-viewer are installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T14:01:28.8236251Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:01:33.1627241Z WARNING: The script isympy is installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T14:01:33.1628072Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:02:08.7740110Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T14:02:08.7741041Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:02:09.1804920Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.9.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-09-07T14:02:09.7362878Z + echo DEVICE_NAME= 2025-09-07T14:02:09.7364342Z + echo DEVICE_TYPE= 2025-09-07T14:02:09.7431160Z ##[group]Run set -eux 2025-09-07T14:02:09.7431444Z set -eux 2025-09-07T14:02:09.7431674Z  2025-09-07T14:02:09.7431904Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T14:02:09.7432269Z  echo "Missing github-token input" 2025-09-07T14:02:09.7432597Z  exit 1 2025-09-07T14:02:09.7432821Z fi 2025-09-07T14:02:09.7445698Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:09.7446090Z env: 2025-09-07T14:02:09.7446320Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:09.7446673Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:09.7447145Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:09.7447737Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:09.7448241Z DEVICE_NAME: 2025-09-07T14:02:09.7448471Z DEVICE_TYPE: 2025-09-07T14:02:09.7448908Z GITHUB_TOKEN: *** 2025-09-07T14:02:09.7449134Z ##[endgroup] 2025-09-07T14:02:09.7552114Z + [[ -z *** ]] 2025-09-07T14:02:09.7649333Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T14:02:09.7649783Z with: 2025-09-07T14:02:09.7650208Z github-token: *** 2025-09-07T14:02:09.7650436Z env: 2025-09-07T14:02:09.7650651Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:09.7650990Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:09.7651454Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:09.7652044Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:09.7652664Z DEVICE_NAME: 2025-09-07T14:02:09.7653070Z DEVICE_TYPE: 2025-09-07T14:02:09.7653304Z ##[endgroup] 2025-09-07T14:02:09.7964564Z ##[group]Run set -eux 2025-09-07T14:02:09.7964851Z set -eux 2025-09-07T14:02:09.7965082Z  2025-09-07T14:02:09.7965568Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T14:02:09.7978186Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:09.7978578Z env: 2025-09-07T14:02:09.7978804Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:09.7979149Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:09.7979621Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:09.7980205Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:09.7980707Z DEVICE_NAME: 2025-09-07T14:02:09.7981066Z DEVICE_TYPE: 2025-09-07T14:02:09.7981538Z GITHUB_TOKEN: *** 2025-09-07T14:02:09.7981774Z ##[endgroup] 2025-09-07T14:02:09.8093009Z + python3 /home/eve/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525309334 i-01a21955dc3821a00-1005 2025-09-07T14:02:10.8686879Z setting job-id=49775768401 2025-09-07T14:02:10.8687453Z setting job-name=cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T14:02:10.8828440Z ##[group]Run set -eux 2025-09-07T14:02:10.8828755Z set -eux 2025-09-07T14:02:10.8828991Z  2025-09-07T14:02:10.8829219Z if [[ -n "" ]]; then 2025-09-07T14:02:10.8829488Z  source "" 2025-09-07T14:02:10.8829753Z fi 2025-09-07T14:02:10.8829964Z  2025-09-07T14:02:10.8830349Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T14:02:10.8830885Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T14:02:10.8831255Z  --repo "${REPO}" \ 2025-09-07T14:02:10.8831577Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T14:02:10.8831920Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T14:02:10.8832463Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T14:02:10.8832839Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T14:02:10.8833187Z  --job-id "${JOB_ID}" \ 2025-09-07T14:02:10.8833500Z  --job-name "${JOB_NAME}" 2025-09-07T14:02:10.8846342Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:10.8846762Z env: 2025-09-07T14:02:10.8846990Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:10.8847333Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:10.8847806Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:10.8848392Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:10.8848902Z DEVICE_NAME: 2025-09-07T14:02:10.8849144Z DEVICE_TYPE: 2025-09-07T14:02:10.8849376Z SCHEMA_VERSION: v3 2025-09-07T14:02:10.8849629Z REPO: pytorch/pytorch 2025-09-07T14:02:10.8849902Z HEAD_BRANCH: refs/heads/main 2025-09-07T14:02:10.8850241Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T14:02:10.8850591Z WORKFLOW_RUN_ID: 17525309334 2025-09-07T14:02:10.8850850Z RUN_ATTEMPT: 1 2025-09-07T14:02:10.8851081Z JOB_ID: 49775768401 2025-09-07T14:02:10.8851497Z JOB_NAME: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T14:02:10.8851969Z ##[endgroup] 2025-09-07T14:02:10.8937275Z + [[ -n '' ]] 2025-09-07T14:02:10.8939406Z + python3 /home/eve/_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 49775768401 --job-name 'cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100)' 2025-09-07T14:02:10.9269693Z ##[group]Run set -eux 2025-09-07T14:02:10.9269969Z set -eux 2025-09-07T14:02:10.9270187Z  2025-09-07T14:02:10.9270409Z if [[ -n "" ]]; then 2025-09-07T14:02:10.9270694Z  source "" 2025-09-07T14:02:10.9270922Z fi 2025-09-07T14:02:10.9271136Z  2025-09-07T14:02:10.9271536Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T14:02:10.9283710Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:10.9284101Z env: 2025-09-07T14:02:10.9284310Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:10.9284654Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:10.9285119Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:10.9285707Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:10.9286206Z DEVICE_NAME: 2025-09-07T14:02:10.9286531Z DEVICE_TYPE: 2025-09-07T14:02:10.9286767Z ##[endgroup] 2025-09-07T14:02:10.9384748Z + [[ -n '' ]] 2025-09-07T14:02:10.9385573Z + python3 /home/eve/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T14:02:11.7797813Z /home/eve/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T14:02:11.7799055Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T14:02:13.1496877Z ##[group]Run set -eux 2025-09-07T14:02:13.1497160Z set -eux 2025-09-07T14:02:13.1497387Z  2025-09-07T14:02:13.1497639Z # TODO (huydhn): Implement this part 2025-09-07T14:02:13.1498031Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T14:02:13.1510979Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:13.1511403Z env: 2025-09-07T14:02:13.1511630Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:13.1511974Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:13.1512622Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:13.1513205Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:13.1513708Z DEVICE_NAME: 2025-09-07T14:02:13.1513943Z DEVICE_TYPE: 2025-09-07T14:02:13.1514178Z ##[endgroup] 2025-09-07T14:02:13.1624185Z + echo 'dependencies={}' 2025-09-07T14:02:13.1945280Z ##[group]Run set -eux 2025-09-07T14:02:13.1945570Z set -eux 2025-09-07T14:02:13.1945793Z  2025-09-07T14:02:13.1946021Z if [[ -n "" ]]; then 2025-09-07T14:02:13.1946305Z  source "" 2025-09-07T14:02:13.1946559Z fi 2025-09-07T14:02:13.1946759Z  2025-09-07T14:02:13.1947033Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T14:02:13.1947494Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T14:02:13.1948000Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T14:02:13.1948403Z  exit 0 2025-09-07T14:02:13.1948625Z fi 2025-09-07T14:02:13.1948839Z  2025-09-07T14:02:13.1949084Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T14:02:13.1949572Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T14:02:13.1950133Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T14:02:13.1950575Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T14:02:13.1950942Z  --runners "${RUNNER_INFO}" \ 2025-09-07T14:02:13.1951304Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T14:02:13.1951631Z  --dry-run 2025-09-07T14:02:13.1951887Z else 2025-09-07T14:02:13.1952275Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T14:02:13.1952980Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T14:02:13.1953415Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T14:02:13.1953768Z  --runners "${RUNNER_INFO}" \ 2025-09-07T14:02:13.1954123Z  --dependencies "${DEPENDENCIES}" 2025-09-07T14:02:13.1954448Z fi 2025-09-07T14:02:13.1966100Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:13.1966491Z env: 2025-09-07T14:02:13.1966701Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:13.1967042Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:13.1967508Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:13.1968104Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:13.1968600Z DEVICE_NAME: 2025-09-07T14:02:13.1968831Z DEVICE_TYPE: 2025-09-07T14:02:13.1969208Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T14:02:13.1969535Z DRY_RUN: false 2025-09-07T14:02:13.1970877Z BENCHMARK_METADATA: {"timestamp": 1757253730, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768401} 2025-09-07T14:02:13.1972976Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "295bee9cdda6"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}] 2025-09-07T14:02:13.1973810Z DEPENDENCIES: {} 2025-09-07T14:02:13.1974051Z ##[endgroup] 2025-09-07T14:02:13.2062119Z + [[ -n '' ]] 2025-09-07T14:02:13.2062362Z + [[ ! -d test/test-reports ]] 2025-09-07T14:02:13.2062659Z + [[ false == \t\r\u\e ]] 2025-09-07T14:02:13.2065812Z + python3 /home/eve/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757253730, "schema_version": "v3", "name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525309334, "run_attempt": 1, "job_id": 49775768401}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 1121, "extra_info": {"hostname": "295bee9cdda6"}, "name": "cuda", "type": "NVIDIA A100-SXM4-40GB", "gpu_count": 1, "avail_gpu_mem_in_gb": 39}]' --dependencies '{}' 2025-09-07T14:02:13.3381840Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:02:13.3731411Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T14:02:13.6310549Z 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/17525309334/49775768401/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:02:13.8362042Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:02:14.0244893Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:02:14.1813361Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.json 2025-09-07T14:02:14.3280032Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:02:14.5542264Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:02:14.7141416Z 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/17525309334/49775768401/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:02:14.9328427Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.json 2025-09-07T14:02:15.0938705Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.json 2025-09-07T14:02:15.2507570Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_dynamic_timm_models_amp_training_cuda_performance.json 2025-09-07T14:02:15.4190676Z 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/17525309334/49775768401/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:02:15.6406299Z 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/17525309334/49775768401/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:02:15.7971641Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:02:15.9647993Z 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/17525309334/49775768401/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:02:16.1520813Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:02:16.3108702Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:02:16.4743336Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:02:16.6239140Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:02:16.7779514Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:02:16.9383767Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:02:17.0963998Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:02:17.2919957Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:02:17.4523599Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_max_autotune_timm_models_amp_training_cuda_performance.json 2025-09-07T14:02:17.6079077Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:02:17.7622104Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.json 2025-09-07T14:02:17.9221624Z 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/17525309334/49775768401/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:02:18.1111128Z 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/17525309334/49775768401/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:02:18.3139750Z INFO:root:Upload test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:02:18.4743499Z 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/17525309334/49775768401/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:02:18.6605546Z INFO:root:Upload test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:02:18.8218059Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_dynamic_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:02:18.9779684Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:02:19.1623725Z 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/17525309334/49775768401/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:02:19.3516899Z 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/17525309334/49775768401/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:02:19.5767512Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.json 2025-09-07T14:02:19.7450441Z 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/17525309334/49775768401/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:02:19.9564077Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525309334/49775768401/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.json 2025-09-07T14:02:20.1171247Z 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/17525309334/49775768401/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json 2025-09-07T14:02:20.3437395Z 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/17525309334/49775768401/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json 2025-09-07T14:02:20.6192506Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T14:02:20.6192925Z cat test/**/*_toprint.log || true 2025-09-07T14:02:20.6206230Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:20.6206636Z env: 2025-09-07T14:02:20.6206868Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:20.6207209Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:20.6207679Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:20.6208259Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:20.6208763Z DEVICE_NAME: 2025-09-07T14:02:20.6208995Z DEVICE_TYPE: 2025-09-07T14:02:20.6209222Z ##[endgroup] 2025-09-07T14:02:20.6394550Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T14:02:20.6519320Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T14:02:20.6519706Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T14:02:20.6533002Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:20.6533447Z env: 2025-09-07T14:02:20.6533678Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:20.6534027Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:20.6534486Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:20.6535081Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:20.6535595Z DEVICE_NAME: 2025-09-07T14:02:20.6535827Z DEVICE_TYPE: 2025-09-07T14:02:20.6536072Z MONITOR_SCRIPT_PID: 9462 2025-09-07T14:02:20.6536329Z ##[endgroup] 2025-09-07T14:02:20.6774691Z Prepare all required actions 2025-09-07T14:02:20.6775176Z Getting action download info 2025-09-07T14:02:20.8436157Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T14:02:21.5072204Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T14:02:23.0000665Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T14:02:23.0001041Z with: 2025-09-07T14:02:23.0001380Z file-suffix: test-inductor_timm_perf-2-6-linux.aws.a100_49775768401 2025-09-07T14:02:23.0001841Z s3-bucket: gha-artifacts 2025-09-07T14:02:23.0002111Z env: 2025-09-07T14:02:23.0002316Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:23.0002660Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:23.0003122Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:23.0003768Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:23.0004269Z DEVICE_NAME: 2025-09-07T14:02:23.0004499Z DEVICE_TYPE: 2025-09-07T14:02:23.0004728Z ##[endgroup] 2025-09-07T14:02:23.0458748Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T14:02:23.0459261Z # Remove any previous test jsons if they exist 2025-09-07T14:02:23.0459652Z rm -f test-jsons-*.zip 2025-09-07T14:02:23.0460076Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T14:02:23.0473421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:23.0473829Z env: 2025-09-07T14:02:23.0474062Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:23.0474405Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:23.0474861Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:23.0475460Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:23.0475964Z DEVICE_NAME: 2025-09-07T14:02:23.0476213Z DEVICE_TYPE: 2025-09-07T14:02:23.0476570Z FILE_SUFFIX: test-inductor_timm_perf-2-6-linux.aws.a100_49775768401 2025-09-07T14:02:23.0476984Z ##[endgroup] 2025-09-07T14:02:23.0640053Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.0733696Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.0812299Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.0831563Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.0860158Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.0879412Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.0898780Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.0978252Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.1006784Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1035715Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1064312Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1175011Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.1204153Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1232703Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1333801Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.1353096Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.1372269Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.1401131Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1420452Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.1439748Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.1468650Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1561133Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.1590019Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1618529Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1647448Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1676391Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.json (deflated 99%) 2025-09-07T14:02:23.1757176Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.1852621Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.1871918Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.1949846Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.1968866Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.1988527Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.2007581Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.2082697Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.2102135Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.2121415Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.2214016Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.2233306Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.json (deflated 99%) 2025-09-07T14:02:23.2294243Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.2382455Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.json (deflated 99%) 2025-09-07T14:02:23.2495315Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T14:02:23.2495944Z # Remove any previous test reports if they exist 2025-09-07T14:02:23.2496336Z rm -f test-reports-*.zip 2025-09-07T14:02:23.2496832Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T14:02:23.2510421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:23.2510820Z env: 2025-09-07T14:02:23.2511050Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:23.2511386Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:23.2511855Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:23.2512448Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:23.2512954Z DEVICE_NAME: 2025-09-07T14:02:23.2513185Z DEVICE_TYPE: 2025-09-07T14:02:23.2513540Z FILE_SUFFIX: test-inductor_timm_perf-2-6-linux.aws.a100_49775768401 2025-09-07T14:02:23.2514071Z ##[endgroup] 2025-09-07T14:02:23.2649089Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance.csv (deflated 48%) 2025-09-07T14:02:23.2650048Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_accuracy.csv (deflated 52%) 2025-09-07T14:02:23.2651107Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:02:23.2652764Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:02:23.2653966Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T14:02:23.2654986Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 53%) 2025-09-07T14:02:23.2656542Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T14:02:23.2657742Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 63%) 2025-09-07T14:02:23.2658833Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:02:23.2659896Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance.csv (deflated 48%) 2025-09-07T14:02:23.2660819Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T14:02:23.2661783Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_performance.csv (deflated 50%) 2025-09-07T14:02:23.2662745Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance.csv (deflated 51%) 2025-09-07T14:02:23.2663787Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:02:23.2664896Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T14:02:23.2666057Z adding: test/test-reports/inductor_cudagraphs_low_precision_timm_models_quant_inference_cuda_accuracy.csv (deflated 54%) 2025-09-07T14:02:23.2667024Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance.csv (deflated 48%) 2025-09-07T14:02:23.2667920Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_accuracy.csv (deflated 52%) 2025-09-07T14:02:23.2669188Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:02:23.2670321Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:02:23.2671336Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 54%) 2025-09-07T14:02:23.2672301Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_accuracy.csv (deflated 52%) 2025-09-07T14:02:23.2673311Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T14:02:23.2674351Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 53%) 2025-09-07T14:02:23.2675389Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:02:23.2676449Z adding: test/test-reports/inductor_dynamic_timm_models_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T14:02:23.2677470Z adding: test/test-reports/inductor_max_autotune_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T14:02:23.2678699Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 53%) 2025-09-07T14:02:23.2679796Z adding: test/test-reports/inductor_with_cudagraphs_freezing_timm_models_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T14:02:23.2680905Z adding: test/test-reports/inductor_aot_inductor_timm_models_bfloat16_inference_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:02:23.2681897Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_training_cuda_accuracy.csv (deflated 52%) 2025-09-07T14:02:23.2682868Z adding: test/test-reports/inductor_cudagraphs_low_precision_timm_models_quant_inference_cuda_performance.csv (deflated 49%) 2025-09-07T14:02:23.2683887Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 54%) 2025-09-07T14:02:23.2684839Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 54%) 2025-09-07T14:02:23.2685805Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_bfloat16_inference_cuda_performance.csv (deflated 49%) 2025-09-07T14:02:23.2686752Z adding: test/test-reports/inductor_with_cudagraphs_timm_models_amp_training_cuda_performance.csv (deflated 48%) 2025-09-07T14:02:23.2687684Z adding: test/test-reports/inductor_max_autotune_timm_models_amp_training_cuda_performance.csv (deflated 48%) 2025-09-07T14:02:23.2688576Z adding: test/test-reports/inductor_export_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 55%) 2025-09-07T14:02:23.2689491Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_accuracy.csv (deflated 52%) 2025-09-07T14:02:23.2690451Z adding: test/test-reports/inductor_dynamic_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T14:02:23.2691499Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_training_cuda_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T14:02:23.2692475Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_bfloat16_inference_cuda_accuracy.csv (deflated 53%) 2025-09-07T14:02:23.2713762Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T14:02:23.2714253Z # Remove any previous usage logs if they exist 2025-09-07T14:02:23.2714633Z rm -f logs-*.zip 2025-09-07T14:02:23.2714979Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T14:02:23.2715509Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T14:02:23.2728456Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:23.2728852Z env: 2025-09-07T14:02:23.2729083Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:23.2729596Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:23.2730071Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:23.2730683Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:23.2731281Z DEVICE_NAME: 2025-09-07T14:02:23.2731514Z DEVICE_TYPE: 2025-09-07T14:02:23.2731854Z FILE_SUFFIX: test-inductor_timm_perf-2-6-linux.aws.a100_49775768401 2025-09-07T14:02:23.2732274Z ##[endgroup] 2025-09-07T14:02:23.3022776Z adding: usage_log.txt (deflated 91%) 2025-09-07T14:02:23.3039484Z 2025-09-07T14:02:23.3039851Z zip error: Nothing to do! (logs-test-inductor_timm_perf-2-6-linux.aws.a100_49775768401.zip) 2025-09-07T14:02:23.3134666Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T14:02:23.3135218Z # Remove any previous debugging artifacts if they exist 2025-09-07T14:02:23.3135647Z rm -f debug-*.zip 2025-09-07T14:02:23.3135961Z if [ -d 'test/debug' ]; then 2025-09-07T14:02:23.3136324Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T14:02:23.3136680Z fi 2025-09-07T14:02:23.3149967Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:23.3150375Z env: 2025-09-07T14:02:23.3150608Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:23.3150958Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:23.3151426Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:23.3152006Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:23.3152507Z DEVICE_NAME: 2025-09-07T14:02:23.3152736Z DEVICE_TYPE: 2025-09-07T14:02:23.3153088Z FILE_SUFFIX: test-inductor_timm_perf-2-6-linux.aws.a100_49775768401 2025-09-07T14:02:23.3153494Z ##[endgroup] 2025-09-07T14:02:23.3458091Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:02:23.3458441Z with: 2025-09-07T14:02:23.3458673Z s3-bucket: gha-artifacts 2025-09-07T14:02:23.3459027Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:02:23.3459387Z retention-days: 14 2025-09-07T14:02:23.3459644Z if-no-files-found: warn 2025-09-07T14:02:23.3459920Z path: test-jsons-*.zip 2025-09-07T14:02:23.3460192Z name: artifact 2025-09-07T14:02:23.3460427Z region: us-east-1 2025-09-07T14:02:23.3460644Z env: 2025-09-07T14:02:23.3460857Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:23.3461200Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:23.3461663Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:23.3462235Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:23.3462735Z DEVICE_NAME: 2025-09-07T14:02:23.3462967Z DEVICE_TYPE: 2025-09-07T14:02:23.3463192Z ##[endgroup] 2025-09-07T14:02:23.6944608Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T14:02:23.6945159Z With the provided path, there will be 1 file uploaded 2025-09-07T14:02:23.6945657Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:02:23.6954020Z Starting upload of test-jsons-test-inductor_timm_perf-2-6-linux.aws.a100_49775768401.zip 2025-09-07T14:02:24.0676448Z Finished upload of test-jsons-test-inductor_timm_perf-2-6-linux.aws.a100_49775768401.zip 2025-09-07T14:02:24.0935055Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:02:24.0935407Z with: 2025-09-07T14:02:24.0935648Z s3-bucket: gha-artifacts 2025-09-07T14:02:24.0935981Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:02:24.0936327Z retention-days: 14 2025-09-07T14:02:24.0936584Z if-no-files-found: error 2025-09-07T14:02:24.0936872Z path: test-reports-*.zip 2025-09-07T14:02:24.0937139Z name: artifact 2025-09-07T14:02:24.0937362Z region: us-east-1 2025-09-07T14:02:24.0937595Z env: 2025-09-07T14:02:24.0937808Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:24.0938176Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:24.0938832Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:24.0939430Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:24.0939942Z DEVICE_NAME: 2025-09-07T14:02:24.0940279Z DEVICE_TYPE: 2025-09-07T14:02:24.0940510Z ##[endgroup] 2025-09-07T14:02:24.4422796Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T14:02:24.4423263Z With the provided path, there will be 1 file uploaded 2025-09-07T14:02:24.4423730Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:02:24.4432288Z Starting upload of test-reports-test-inductor_timm_perf-2-6-linux.aws.a100_49775768401.zip 2025-09-07T14:02:24.6530684Z Finished upload of test-reports-test-inductor_timm_perf-2-6-linux.aws.a100_49775768401.zip 2025-09-07T14:02:24.6795365Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:02:24.6795723Z with: 2025-09-07T14:02:24.6795957Z s3-bucket: gha-artifacts 2025-09-07T14:02:24.6796301Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:02:24.6796644Z retention-days: 14 2025-09-07T14:02:24.6796912Z if-no-files-found: ignore 2025-09-07T14:02:24.6797324Z path: logs-*.zip 2025-09-07T14:02:24.6797561Z name: artifact 2025-09-07T14:02:24.6797795Z region: us-east-1 2025-09-07T14:02:24.6798032Z env: 2025-09-07T14:02:24.6798248Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:24.6798590Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:24.6799046Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:24.6799642Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:24.6800141Z DEVICE_NAME: 2025-09-07T14:02:24.6800369Z DEVICE_TYPE: 2025-09-07T14:02:24.6800594Z ##[endgroup] 2025-09-07T14:02:25.0287636Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T14:02:25.0288124Z With the provided path, there will be 1 file uploaded 2025-09-07T14:02:25.0288617Z Uploading to s3 prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:02:25.0297316Z Starting upload of logs-test-inductor_timm_perf-2-6-linux.aws.a100_49775768401.zip 2025-09-07T14:02:25.2153716Z Finished upload of logs-test-inductor_timm_perf-2-6-linux.aws.a100_49775768401.zip 2025-09-07T14:02:25.2461620Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T14:02:25.2461971Z with: 2025-09-07T14:02:25.2462206Z s3-bucket: gha-artifacts 2025-09-07T14:02:25.2462535Z s3-prefix: pytorch/pytorch/17525309334/1/artifact 2025-09-07T14:02:25.2462877Z retention-days: 14 2025-09-07T14:02:25.2463136Z if-no-files-found: ignore 2025-09-07T14:02:25.2463414Z path: debug-*.zip 2025-09-07T14:02:25.2463652Z name: artifact 2025-09-07T14:02:25.2463872Z region: us-east-1 2025-09-07T14:02:25.2464106Z env: 2025-09-07T14:02:25.2464325Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:25.2464666Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:25.2465226Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:25.2465838Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:25.2466345Z DEVICE_NAME: 2025-09-07T14:02:25.2466585Z DEVICE_TYPE: 2025-09-07T14:02:25.2466817Z ##[endgroup] 2025-09-07T14:02:25.5892148Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T14:02:25.6232786Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T14:02:25.6233169Z # shellcheck disable=SC2156 2025-09-07T14:02:25.6233776Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T14:02:25.6247233Z shell: /usr/bin/bash -e {0} 2025-09-07T14:02:25.6247548Z env: 2025-09-07T14:02:25.6247775Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:25.6248107Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:25.6248578Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:25.6249174Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:25.6249677Z DEVICE_NAME: 2025-09-07T14:02:25.6249914Z DEVICE_TYPE: 2025-09-07T14:02:25.6250139Z ##[endgroup] 2025-09-07T14:02:26.3499325Z Prepare all required actions 2025-09-07T14:02:26.3499763Z Getting action download info 2025-09-07T14:02:26.5404834Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T14:02:26.5405223Z with: 2025-09-07T14:02:26.5405445Z job_id: 49775768401 2025-09-07T14:02:26.5405871Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T14:02:26.5406380Z workflow_name: inductor-A100-perf-nightly 2025-09-07T14:02:26.5406722Z workflow_run_id: 17525309334 2025-09-07T14:02:26.5407006Z workflow_attempt: 1 2025-09-07T14:02:26.5407254Z env: 2025-09-07T14:02:26.5407459Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:26.5407803Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:26.5408294Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:26.5408876Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:26.5409498Z DEVICE_NAME: 2025-09-07T14:02:26.5409799Z DEVICE_TYPE: 2025-09-07T14:02:26.5410020Z ##[endgroup] 2025-09-07T14:02:26.5883964Z ##[group]Run echo "workflow_id: 17525309334" 2025-09-07T14:02:26.5884353Z echo "workflow_id: 17525309334" 2025-09-07T14:02:26.5884688Z echo "workflow_attempt: 1" 2025-09-07T14:02:26.5885080Z echo "workflow_Name: inductor-A100-perf-nightly" 2025-09-07T14:02:26.5885479Z echo "job_id: 49775768401" 2025-09-07T14:02:26.5885984Z echo "job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100)" 2025-09-07T14:02:26.5886525Z echo "artifact_prefix: " 2025-09-07T14:02:26.5886839Z python3 --version 2025-09-07T14:02:26.5900490Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:26.5900891Z env: 2025-09-07T14:02:26.5901103Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:26.5901451Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:26.5901945Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:26.5902547Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:26.5903052Z DEVICE_NAME: 2025-09-07T14:02:26.5903275Z DEVICE_TYPE: 2025-09-07T14:02:26.5903508Z ##[endgroup] 2025-09-07T14:02:26.6010238Z workflow_id: 17525309334 2025-09-07T14:02:26.6010575Z workflow_attempt: 1 2025-09-07T14:02:26.6010853Z workflow_Name: inductor-A100-perf-nightly 2025-09-07T14:02:26.6011181Z job_id: 49775768401 2025-09-07T14:02:26.6011593Z job_name: cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100) 2025-09-07T14:02:26.6012076Z artifact_prefix: 2025-09-07T14:02:26.6025932Z Python 3.10.12 2025-09-07T14:02:26.6109221Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T14:02:26.6109545Z with: 2025-09-07T14:02:26.6109760Z shell: bash 2025-09-07T14:02:26.6109975Z timeout_minutes: 5 2025-09-07T14:02:26.6110223Z max_attempts: 5 2025-09-07T14:02:26.6110473Z retry_wait_seconds: 30 2025-09-07T14:02:26.6111059Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T14:02:26.6111661Z polling_interval_seconds: 1 2025-09-07T14:02:26.6111949Z warning_on_retry: true 2025-09-07T14:02:26.6112221Z continue_on_error: false 2025-09-07T14:02:26.6112490Z env: 2025-09-07T14:02:26.6112697Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:26.6113044Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:26.6113508Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:26.6114103Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:26.6114592Z DEVICE_NAME: 2025-09-07T14:02:26.6114822Z DEVICE_TYPE: 2025-09-07T14:02:26.6115050Z ##[endgroup] 2025-09-07T14:02:27.0143714Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T14:02:27.2270718Z Collecting python-dateutil==2.8.2 2025-09-07T14:02:27.4402359Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T14:02:27.5283876Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 2.8 MB/s eta 0:00:00 2025-09-07T14:02:28.1843682Z Collecting boto3==1.35.42 2025-09-07T14:02:28.1976535Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T14:02:28.3622260Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 794.8 kB/s eta 0:00:00 2025-09-07T14:02:28.7989014Z Collecting pandas==2.1.3 2025-09-07T14:02:28.8122747Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T14:02:29.7892541Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 12.6 MB/s eta 0:00:00 2025-09-07T14:02:29.8613078Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/eve/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T14:02:29.8633388Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T14:02:29.8685533Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/eve/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T14:02:29.8691417Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/eve/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T14:02:29.8697165Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/eve/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T14:02:30.5039984Z Collecting numpy<2,>=1.22.4 2025-09-07T14:02:30.5178255Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T14:02:31.9687289Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 10.6 MB/s eta 0:00:00 2025-09-07T14:02:32.2274920Z Collecting pytz>=2020.1 2025-09-07T14:02:32.2402622Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T14:02:32.3456753Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 4.8 MB/s eta 0:00:00 2025-09-07T14:02:32.4725712Z Collecting tzdata>=2022.1 2025-09-07T14:02:32.4853989Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T14:02:32.6382378Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 2.2 MB/s eta 0:00:00 2025-09-07T14:02:32.6468974Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/eve/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T14:02:32.6483894Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/eve/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T14:02:32.6543215Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.5) 2025-09-07T14:02:32.6659249Z Requirement already satisfied: packaging>=17.0 in /home/eve/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T14:02:32.6770999Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/eve/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T14:02:32.6776814Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/eve/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T14:02:33.0022647Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T14:02:35.3001408Z WARNING: The script f2py is installed in '/home/eve/.local/bin' which is not on PATH. 2025-09-07T14:02:35.3002239Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T14:02:39.1576928Z Attempting uninstall: boto3 2025-09-07T14:02:39.1584165Z Found existing installation: boto3 1.35.33 2025-09-07T14:02:39.1776166Z Uninstalling boto3-1.35.33: 2025-09-07T14:02:39.1793753Z Successfully uninstalled boto3-1.35.33 2025-09-07T14:02:39.4072390Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2 2025-09-07T14:02:39.7003452Z Command completed after 1 attempt(s). 2025-09-07T14:02:39.7077418Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T14:02:39.7079599Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T14:02:39.7080130Z  --workflow-run-id "17525309334" \ 2025-09-07T14:02:39.7080546Z  --workflow-name "inductor-A100-perf-nightly" \ 2025-09-07T14:02:39.7080946Z  --workflow-run-attempt "1" \ 2025-09-07T14:02:39.7081279Z  --job-id "49775768401" \ 2025-09-07T14:02:39.7081794Z  --job-name "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100)" \ 2025-09-07T14:02:39.7082333Z  --local-path "" \ 2025-09-07T14:02:39.7082636Z  --artifact-prefix "" 2025-09-07T14:02:39.7095961Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T14:02:39.7096347Z env: 2025-09-07T14:02:39.7096568Z GIT_DEFAULT_BRANCH: main 2025-09-07T14:02:39.7096908Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T14:02:39.7097370Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5231 2025-09-07T14:02:39.7097947Z DOCKER_CONTAINER_ID: f46c3e0c896389561d794ea25d59b9559af26119ad2c2a54f846a743fd3e990e 2025-09-07T14:02:39.7098447Z DEVICE_NAME: 2025-09-07T14:02:39.7098676Z DEVICE_TYPE: 2025-09-07T14:02:39.7098903Z ##[endgroup] 2025-09-07T14:02:43.0852272Z repo: pytorch/pytorch 2025-09-07T14:02:43.0852647Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T14:02:43.0853392Z Downloading logs-test-inductor_timm_perf-2-6-linux.aws.a100_49775768401.zip 2025-09-07T14:02:43.0854120Z extracting usage_log.txt from zip file logs-test-inductor_timm_perf-2-6-linux.aws.a100_49775768401.zip 2025-09-07T14:02:43.0854718Z Converted Log Model: UtilizationMetadata: 2025-09-07T14:02:43.0856248Z UtilizationMetadata(level='metadata', workflow_id='17525309334', job_id='49775768401', workflow_name='inductor-A100-perf-nightly', job_name='cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757234923, gpu_count=1, cpu_count=96, gpu_type='pynvml', error=None) 2025-09-07T14:02:43.0857844Z [Db Segments] detected pytest cmd: 4, generated segments: 4 2025-09-07T14:02:43.0858247Z [db model] Peek db timeseries 2025-09-07T14:02:43.0858521Z :{ 2025-09-07T14:02:43.0858731Z "created_at": 1757253762, 2025-09-07T14:02:43.0859003Z "type": "utilization", 2025-09-07T14:02:43.0859270Z "tags": [ 2025-09-07T14:02:43.0859487Z "record" 2025-09-07T14:02:43.0859707Z ], 2025-09-07T14:02:43.0859908Z "time_stamp": 1757234923, 2025-09-07T14:02:43.0860193Z "repo": "pytorch/pytorch", 2025-09-07T14:02:43.0860478Z "workflow_id": 17525309334, 2025-09-07T14:02:43.0860755Z "run_attempt": 1, 2025-09-07T14:02:43.0860998Z "job_id": 49775768401, 2025-09-07T14:02:43.0861620Z "workflow_name": "inductor-A100-perf-nightly", 2025-09-07T14:02:43.0862155Z "job_name": "cuda12.8-py3.10-gcc9-sm80 / test (inductor_timm_perf, 2, 6, linux.aws.a100)", 2025-09-07T14:02:43.0862644Z "json_data": "{}" 2025-09-07T14:02:43.0862870Z } 2025-09-07T14:02:43.0863378Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768401/metadata 2025-09-07T14:02:43.0864320Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525309334/1/49775768401/metadata 2025-09-07T14:02:43.0865413Z Writing 1250 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768401/time_series 2025-09-07T14:02:43.0866422Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525309334/1/49775768401/time_series 2025-09-07T14:02:43.1884823Z Post job cleanup. 2025-09-07T14:02:43.1927170Z Post job cleanup. 2025-09-07T14:02:43.2890179Z [command]/usr/bin/git version 2025-09-07T14:02:43.2925311Z git version 2.51.0 2025-09-07T14:02:43.2963798Z Temporarily overriding HOME='/home/eve/_work/_temp/87141ea8-92ed-442c-984b-cd4f36eb139c' before making global git config changes 2025-09-07T14:02:43.2964673Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T14:02:43.2968657Z [command]/usr/bin/git config --global --add safe.directory /home/eve/_work/pytorch/pytorch 2025-09-07T14:02:43.2999842Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T14:02:43.3037186Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T14:02:43.3269503Z Entering 'android/libs/fbjni' 2025-09-07T14:02:43.3311871Z Entering 'third_party/FP16' 2025-09-07T14:02:43.3354415Z Entering 'third_party/FXdiv' 2025-09-07T14:02:43.3396333Z Entering 'third_party/NNPACK' 2025-09-07T14:02:43.3439189Z Entering 'third_party/NVTX' 2025-09-07T14:02:43.3481649Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:02:43.3523698Z Entering 'third_party/XNNPACK' 2025-09-07T14:02:43.3582021Z Entering 'third_party/aiter' 2025-09-07T14:02:43.3625166Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T14:02:43.3675974Z Entering 'third_party/benchmark' 2025-09-07T14:02:43.3718307Z Entering 'third_party/composable_kernel' 2025-09-07T14:02:43.3769855Z Entering 'third_party/cpp-httplib' 2025-09-07T14:02:43.3811274Z Entering 'third_party/cpuinfo' 2025-09-07T14:02:43.3853956Z Entering 'third_party/cudnn_frontend' 2025-09-07T14:02:43.3895857Z Entering 'third_party/cutlass' 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Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T14:02:43.4569489Z Entering 'third_party/gloo' 2025-09-07T14:02:43.4611260Z Entering 'third_party/googletest' 2025-09-07T14:02:43.4653129Z Entering 'third_party/ideep' 2025-09-07T14:02:43.4693267Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T14:02:43.4741317Z Entering 'third_party/ittapi' 2025-09-07T14:02:43.4783416Z Entering 'third_party/kineto' 2025-09-07T14:02:43.4825921Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T14:02:43.4865310Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T14:02:43.4907282Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T14:02:43.4948327Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T14:02:43.4990359Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T14:02:43.5031577Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T14:02:43.5073790Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T14:02:43.5115766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T14:02:43.5156336Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T14:02:43.5198414Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T14:02:43.5240480Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T14:02:43.5280921Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T14:02:43.5323702Z Entering 'third_party/kleidiai' 2025-09-07T14:02:43.5365610Z Entering 'third_party/mimalloc' 2025-09-07T14:02:43.5407227Z Entering 'third_party/nlohmann' 2025-09-07T14:02:43.5450845Z Entering 'third_party/onnx' 2025-09-07T14:02:43.5511928Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T14:02:43.5555370Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T14:02:43.5599226Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T14:02:43.5639450Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T14:02:43.5679550Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T14:02:43.5721147Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T14:02:43.5762961Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T14:02:43.5804042Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T14:02:43.5844734Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T14:02:43.5884381Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T14:02:43.5926866Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T14:02:43.5968861Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T14:02:43.6031279Z Entering 'third_party/pocketfft' 2025-09-07T14:02:43.6073382Z Entering 'third_party/protobuf' 2025-09-07T14:02:43.6119016Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T14:02:43.6159812Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T14:02:43.6202486Z Entering 'third_party/psimd' 2025-09-07T14:02:43.6243515Z Entering 'third_party/pthreadpool' 2025-09-07T14:02:43.6285498Z Entering 'third_party/pybind11' 2025-09-07T14:02:43.6327343Z Entering 'third_party/python-peachpy' 2025-09-07T14:02:43.6368818Z Entering 'third_party/sleef' 2025-09-07T14:02:43.6410172Z Entering 'third_party/tensorpipe' 2025-09-07T14:02:43.6451953Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T14:02:43.6491425Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T14:02:43.6531367Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T14:02:43.6571915Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T14:02:43.6611057Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T14:02:43.6671288Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T14:02:43.6693053Z http.https://github.com/.extraheader 2025-09-07T14:02:43.6701945Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T14:02:43.6734299Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T14:02:43.6955893Z Entering 'android/libs/fbjni' 2025-09-07T14:02:43.6979742Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7010091Z Entering 'third_party/FP16' 2025-09-07T14:02:43.7034480Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7065020Z Entering 'third_party/FXdiv' 2025-09-07T14:02:43.7089312Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7120001Z Entering 'third_party/NNPACK' 2025-09-07T14:02:43.7144625Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7175686Z Entering 'third_party/NVTX' 2025-09-07T14:02:43.7200044Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7231657Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:02:43.7256059Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7288628Z Entering 'third_party/XNNPACK' 2025-09-07T14:02:43.7313160Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7360155Z Entering 'third_party/aiter' 2025-09-07T14:02:43.7384522Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7417780Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T14:02:43.7440675Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7479549Z Entering 'third_party/benchmark' 2025-09-07T14:02:43.7504149Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7535180Z Entering 'third_party/composable_kernel' 2025-09-07T14:02:43.7559351Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7599747Z Entering 'third_party/cpp-httplib' 2025-09-07T14:02:43.7624151Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7654385Z Entering 'third_party/cpuinfo' 2025-09-07T14:02:43.7679052Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7710700Z Entering 'third_party/cudnn_frontend' 2025-09-07T14:02:43.7735308Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7767183Z Entering 'third_party/cutlass' 2025-09-07T14:02:43.7792028Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7833281Z Entering 'third_party/fbgemm' 2025-09-07T14:02:43.7858872Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7892505Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T14:02:43.7915352Z http.https://github.com/.extraheader 2025-09-07T14:02:43.7946055Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T14:02:43.7969561Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8006218Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T14:02:43.8029575Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8059854Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T14:02:43.8083059Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8121495Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T14:02:43.8145433Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8176127Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T14:02:43.8199424Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8230457Z Entering 'third_party/fbgemm/external/json' 2025-09-07T14:02:43.8254424Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8287741Z Entering 'third_party/flash-attention' 2025-09-07T14:02:43.8311853Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8342870Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T14:02:43.8365472Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8402249Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T14:02:43.8426141Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8466855Z Entering 'third_party/flatbuffers' 2025-09-07T14:02:43.8491136Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8524807Z Entering 'third_party/fmt' 2025-09-07T14:02:43.8548650Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8578866Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T14:02:43.8603286Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8634025Z Entering 'third_party/gloo' 2025-09-07T14:02:43.8659512Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8691696Z Entering 'third_party/googletest' 2025-09-07T14:02:43.8716279Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8746894Z Entering 'third_party/ideep' 2025-09-07T14:02:43.8771024Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8800299Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T14:02:43.8823140Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8862463Z Entering 'third_party/ittapi' 2025-09-07T14:02:43.8887064Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8918582Z Entering 'third_party/kineto' 2025-09-07T14:02:43.8943221Z http.https://github.com/.extraheader 2025-09-07T14:02:43.8974379Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T14:02:43.8998380Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9029922Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T14:02:43.9053800Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9085649Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T14:02:43.9108991Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9139903Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T14:02:43.9163368Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9194348Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T14:02:43.9217659Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9247828Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T14:02:43.9270814Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9302888Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T14:02:43.9326287Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9357243Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T14:02:43.9380647Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9411811Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T14:02:43.9434992Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9466448Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T14:02:43.9489986Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9522572Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T14:02:43.9545877Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9576743Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T14:02:43.9599916Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9631020Z Entering 'third_party/kleidiai' 2025-09-07T14:02:43.9655662Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9686098Z Entering 'third_party/mimalloc' 2025-09-07T14:02:43.9710423Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9741884Z Entering 'third_party/nlohmann' 2025-09-07T14:02:43.9766209Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9798615Z Entering 'third_party/onnx' 2025-09-07T14:02:43.9823220Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9871911Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T14:02:43.9895644Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9929256Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T14:02:43.9954073Z http.https://github.com/.extraheader 2025-09-07T14:02:43.9986354Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T14:02:44.0009002Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0038890Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T14:02:44.0062554Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0091998Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T14:02:44.0115240Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0145744Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T14:02:44.0169178Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0200761Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T14:02:44.0223753Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0254100Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T14:02:44.0277499Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0307944Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T14:02:44.0331207Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0361140Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T14:02:44.0385310Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0417505Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T14:02:44.0440765Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0472730Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T14:02:44.0495902Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0549576Z Entering 'third_party/pocketfft' 2025-09-07T14:02:44.0574234Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0603940Z Entering 'third_party/protobuf' 2025-09-07T14:02:44.0628557Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0662914Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T14:02:44.0685391Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0716085Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T14:02:44.0739852Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0772297Z Entering 'third_party/psimd' 2025-09-07T14:02:44.0796248Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0827262Z Entering 'third_party/pthreadpool' 2025-09-07T14:02:44.0851691Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0883300Z Entering 'third_party/pybind11' 2025-09-07T14:02:44.0907715Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0938092Z Entering 'third_party/python-peachpy' 2025-09-07T14:02:44.0962650Z http.https://github.com/.extraheader 2025-09-07T14:02:44.0994398Z Entering 'third_party/sleef' 2025-09-07T14:02:44.1019335Z http.https://github.com/.extraheader 2025-09-07T14:02:44.1049767Z Entering 'third_party/tensorpipe' 2025-09-07T14:02:44.1074405Z http.https://github.com/.extraheader 2025-09-07T14:02:44.1104296Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T14:02:44.1127095Z http.https://github.com/.extraheader 2025-09-07T14:02:44.1156717Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T14:02:44.1180769Z http.https://github.com/.extraheader 2025-09-07T14:02:44.1209747Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T14:02:44.1233598Z http.https://github.com/.extraheader 2025-09-07T14:02:44.1263534Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T14:02:44.1286777Z http.https://github.com/.extraheader 2025-09-07T14:02:44.1317738Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T14:02:44.1340913Z http.https://github.com/.extraheader 2025-09-07T14:02:44.1514605Z Post job cleanup. 2025-09-07T14:02:44.2471954Z [command]/usr/bin/git version 2025-09-07T14:02:44.2506353Z git version 2.51.0 2025-09-07T14:02:44.2545030Z Temporarily overriding HOME='/home/eve/_work/_temp/d0fd0c7f-be74-4f73-a2b3-ca04bb40cf2c' before making global git config changes 2025-09-07T14:02:44.2545980Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T14:02:44.2550063Z [command]/usr/bin/git config --global --add safe.directory /home/eve/_work/pytorch/pytorch 2025-09-07T14:02:44.2581714Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T14:02:44.2611424Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T14:02:44.2839910Z Entering 'android/libs/fbjni' 2025-09-07T14:02:44.2882285Z Entering 'third_party/FP16' 2025-09-07T14:02:44.2925198Z Entering 'third_party/FXdiv' 2025-09-07T14:02:44.2967371Z Entering 'third_party/NNPACK' 2025-09-07T14:02:44.3009798Z Entering 'third_party/NVTX' 2025-09-07T14:02:44.3052419Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:02:44.3095003Z Entering 'third_party/XNNPACK' 2025-09-07T14:02:44.3153677Z Entering 'third_party/aiter' 2025-09-07T14:02:44.3196416Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T14:02:44.3247524Z Entering 'third_party/benchmark' 2025-09-07T14:02:44.3289340Z Entering 'third_party/composable_kernel' 2025-09-07T14:02:44.3341060Z Entering 'third_party/cpp-httplib' 2025-09-07T14:02:44.3383423Z Entering 'third_party/cpuinfo' 2025-09-07T14:02:44.3426632Z Entering 'third_party/cudnn_frontend' 2025-09-07T14:02:44.3473773Z Entering 'third_party/cutlass' 2025-09-07T14:02:44.3519170Z Entering 'third_party/fbgemm' 2025-09-07T14:02:44.3563857Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T14:02:44.3604883Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T14:02:44.3653000Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T14:02:44.3693997Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T14:02:44.3745026Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T14:02:44.3784959Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T14:02:44.3824919Z Entering 'third_party/fbgemm/external/json' 2025-09-07T14:02:44.3868755Z Entering 'third_party/flash-attention' 2025-09-07T14:02:44.3911545Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T14:02:44.3958480Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T14:02:44.4007813Z Entering 'third_party/flatbuffers' 2025-09-07T14:02:44.4053031Z Entering 'third_party/fmt' 2025-09-07T14:02:44.4094316Z Entering 'third_party/gemmlowp/gemmlowp' 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2025-09-07T14:02:44.5162299Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T14:02:44.5201826Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T14:02:44.5242377Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T14:02:44.5282286Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T14:02:44.5324174Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T14:02:44.5363367Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T14:02:44.5403698Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T14:02:44.5442843Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T14:02:44.5484605Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T14:02:44.5526725Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T14:02:44.5588392Z Entering 'third_party/pocketfft' 2025-09-07T14:02:44.5630990Z Entering 'third_party/protobuf' 2025-09-07T14:02:44.5675949Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T14:02:44.5715735Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T14:02:44.5758939Z Entering 'third_party/psimd' 2025-09-07T14:02:44.5800581Z Entering 'third_party/pthreadpool' 2025-09-07T14:02:44.5841837Z Entering 'third_party/pybind11' 2025-09-07T14:02:44.5883850Z Entering 'third_party/python-peachpy' 2025-09-07T14:02:44.5926349Z Entering 'third_party/sleef' 2025-09-07T14:02:44.5968873Z Entering 'third_party/tensorpipe' 2025-09-07T14:02:44.6010173Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T14:02:44.6050608Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T14:02:44.6090940Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T14:02:44.6131398Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T14:02:44.6170498Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T14:02:44.6229990Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T14:02:44.6259958Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T14:02:44.6482699Z Entering 'android/libs/fbjni' 2025-09-07T14:02:44.6524303Z Entering 'third_party/FP16' 2025-09-07T14:02:44.6566391Z Entering 'third_party/FXdiv' 2025-09-07T14:02:44.6608242Z Entering 'third_party/NNPACK' 2025-09-07T14:02:44.6649491Z Entering 'third_party/NVTX' 2025-09-07T14:02:44.6692105Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T14:02:44.6734933Z Entering 'third_party/XNNPACK' 2025-09-07T14:02:44.6792814Z Entering 'third_party/aiter' 2025-09-07T14:02:44.6835965Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T14:02:44.6884973Z Entering 'third_party/benchmark' 2025-09-07T14:02:44.6927371Z Entering 'third_party/composable_kernel' 2025-09-07T14:02:44.6979003Z Entering 'third_party/cpp-httplib' 2025-09-07T14:02:44.7020676Z Entering 'third_party/cpuinfo' 2025-09-07T14:02:44.7063534Z Entering 'third_party/cudnn_frontend' 2025-09-07T14:02:44.7105773Z Entering 'third_party/cutlass' 2025-09-07T14:02:44.7156609Z Entering 'third_party/fbgemm' 2025-09-07T14:02:44.7201454Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T14:02:44.7241461Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T14:02:44.7288851Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T14:02:44.7329178Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T14:02:44.7378119Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T14:02:44.7418338Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T14:02:44.7458314Z Entering 'third_party/fbgemm/external/json' 2025-09-07T14:02:44.7502413Z Entering 'third_party/flash-attention' 2025-09-07T14:02:44.7545649Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T14:02:44.7591455Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T14:02:44.7641125Z Entering 'third_party/flatbuffers' 2025-09-07T14:02:44.7687189Z Entering 'third_party/fmt' 2025-09-07T14:02:44.7728730Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T14:02:44.7770274Z Entering 'third_party/gloo' 2025-09-07T14:02:44.7812386Z Entering 'third_party/googletest' 2025-09-07T14:02:44.7854148Z Entering 'third_party/ideep' 2025-09-07T14:02:44.7895112Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T14:02:44.7943034Z Entering 'third_party/ittapi' 2025-09-07T14:02:44.7985391Z Entering 'third_party/kineto' 2025-09-07T14:02:44.8027241Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T14:02:44.8066479Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T14:02:44.8108273Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T14:02:44.8148728Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T14:02:44.8189302Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T14:02:44.8228721Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T14:02:44.8270530Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T14:02:44.8311343Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T14:02:44.8351611Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T14:02:44.8393644Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T14:02:44.8435337Z Entering 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