2025-09-07T09:29:47.9720424Z Current runner version: '2.328.0' 2025-09-07T09:29:47.9725942Z Runner name: 'i-05a095f6e498981b2-1002' 2025-09-07T09:29:47.9726664Z Runner group name: 'default' 2025-09-07T09:29:47.9727559Z Machine name: '3e2f3ea7459d' 2025-09-07T09:29:47.9729984Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T09:29:47.9731873Z Contents: read 2025-09-07T09:29:47.9732416Z Metadata: read 2025-09-07T09:29:47.9732909Z ##[endgroup] 2025-09-07T09:29:47.9735210Z Secret source: Actions 2025-09-07T09:29:47.9735966Z Prepare workflow directory 2025-09-07T09:29:48.0914811Z Prepare all required actions 2025-09-07T09:29:48.0949350Z Getting action download info 2025-09-07T09:29:48.3956000Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T09:29:49.1570153Z Download action repository 'pytorch/pytorch@main' (SHA:7a83cf430e97d83d6fb14880b9049e77ff725685) 2025-09-07T09:29:57.1657152Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T09:29:57.5286119Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T09:29:57.8715397Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T09:29:58.1555731Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T09:29:58.6747364Z Getting action download info 2025-09-07T09:29:58.7946233Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T09:29:59.1058245Z Getting action download info 2025-09-07T09:29:59.2286142Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T09:29:59.6001050Z Getting action download info 2025-09-07T09:29:59.7396680Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T09:30:00.0567013Z Getting action download info 2025-09-07T09:30:00.1783221Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T09:30:00.1787075Z ##[group] Inputs 2025-09-07T09:30:00.1787489Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:30:00.1792637Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T09:30:00.1798592Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:30:00.1799349Z sync-tag: 2025-09-07T09:30:00.1800200Z timeout-minutes: 1440 2025-09-07T09:30:00.1800466Z use-gha: 2025-09-07T09:30:00.1801406Z 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 2025-09-07T09:30:00.1802374Z s3-bucket: gha-artifacts 2025-09-07T09:30:00.1802641Z aws-role-to-assume: 2025-09-07T09:30:00.1803214Z disable-monitor: false 2025-09-07T09:30:00.1803509Z monitor-log-interval: 15 2025-09-07T09:30:00.1803983Z monitor-data-collect-interval: 4 2025-09-07T09:30:00.1804300Z ##[endgroup] 2025-09-07T09:30:00.1804714Z Complete job name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T09:30:00.2304924Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T09:30:00.2305966Z with: 2025-09-07T09:30:00.2306697Z github-secret: *** 2025-09-07T09:30:00.2307785Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T09:30:00.2308846Z activate-with-label: false 2025-09-07T09:30:00.2309232Z label: with-ssh 2025-09-07T09:30:00.2309745Z remove-existing-keys: true 2025-09-07T09:30:00.2310210Z fail-silently: true 2025-09-07T09:30:00.2310986Z env: 2025-09-07T09:30:00.2311356Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:30:00.2311813Z ##[endgroup] 2025-09-07T09:30:00.3442569Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T09:30:00.3444027Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T09:30:00.3608761Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T09:30:00.3609144Z with: 2025-09-07T09:30:00.3609312Z no-sudo: true 2025-09-07T09:30:00.3609486Z submodules: recursive 2025-09-07T09:30:00.3609690Z fetch-depth: 0 2025-09-07T09:30:00.3609859Z env: 2025-09-07T09:30:00.3610021Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:30:00.3610227Z ##[endgroup] 2025-09-07T09:30:00.3684471Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:30:00.3685236Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:30:00.3710457Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:30:00.3710778Z env: 2025-09-07T09:30:00.3710943Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:30:00.3711131Z ##[endgroup] 2025-09-07T09:30:00.3853038Z ##[group]Run actions/checkout@v4 2025-09-07T09:30:00.3853301Z with: 2025-09-07T09:30:00.3853492Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:30:00.3853939Z fetch-depth: 0 2025-09-07T09:30:00.3854150Z submodules: recursive 2025-09-07T09:30:00.3854351Z show-progress: false 2025-09-07T09:30:00.3854637Z repository: pytorch/pytorch 2025-09-07T09:30:00.3855229Z token: *** 2025-09-07T09:30:00.3855410Z ssh-strict: true 2025-09-07T09:30:00.3855592Z ssh-user: git 2025-09-07T09:30:00.3855774Z persist-credentials: true 2025-09-07T09:30:00.3855970Z clean: true 2025-09-07T09:30:00.3856154Z sparse-checkout-cone-mode: true 2025-09-07T09:30:00.3856372Z fetch-tags: false 2025-09-07T09:30:00.3856552Z lfs: false 2025-09-07T09:30:00.3856723Z set-safe-directory: true 2025-09-07T09:30:00.3856924Z env: 2025-09-07T09:30:00.3857089Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:30:00.3857285Z ##[endgroup] 2025-09-07T09:30:00.4808831Z Syncing repository: pytorch/pytorch 2025-09-07T09:30:00.4809989Z ##[group]Getting Git version info 2025-09-07T09:30:00.4810333Z Working directory is '/home/bob/_work/pytorch/pytorch' 2025-09-07T09:30:00.4810802Z [command]/usr/bin/git version 2025-09-07T09:30:00.4816928Z git version 2.50.1 2025-09-07T09:30:00.4841383Z ##[endgroup] 2025-09-07T09:30:00.4852152Z Temporarily overriding HOME='/home/bob/_work/_temp/789e81cc-0e8d-47f0-99b8-255d57296354' before making global git config changes 2025-09-07T09:30:00.4852990Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T09:30:00.4857084Z [command]/usr/bin/git config --global --add safe.directory /home/bob/_work/pytorch/pytorch 2025-09-07T09:30:00.4894383Z Deleting the contents of '/home/bob/_work/pytorch/pytorch' 2025-09-07T09:30:00.4897090Z ##[group]Initializing the repository 2025-09-07T09:30:00.4900232Z [command]/usr/bin/git init /home/bob/_work/pytorch/pytorch 2025-09-07T09:30:00.4953439Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T09:30:00.4954305Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T09:30:00.4954855Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T09:30:00.4955231Z hint: 2025-09-07T09:30:00.4955528Z hint: git config --global init.defaultBranch 2025-09-07T09:30:00.4955859Z hint: 2025-09-07T09:30:00.4956175Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T09:30:00.4956698Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T09:30:00.4957200Z hint: 2025-09-07T09:30:00.4957440Z hint: git branch -m 2025-09-07T09:30:00.4957697Z hint: 2025-09-07T09:30:00.4957991Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-07T09:30:00.4958514Z Initialized empty Git repository in /home/bob/_work/pytorch/pytorch/.git/ 2025-09-07T09:30:00.4966425Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T09:30:00.5007788Z ##[endgroup] 2025-09-07T09:30:00.5008575Z ##[group]Disabling automatic garbage collection 2025-09-07T09:30:00.5011213Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T09:30:00.5043103Z ##[endgroup] 2025-09-07T09:30:00.5043460Z ##[group]Setting up auth 2025-09-07T09:30:00.5049628Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T09:30:00.5082443Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T09:30:00.5333423Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:30:00.5362153Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T09:30:00.5599553Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:30:00.5635617Z ##[endgroup] 2025-09-07T09:30:00.5636087Z ##[group]Fetching the repository 2025-09-07T09:30:00.5642283Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T09:30:51.5711071Z From https://github.com/pytorch/pytorch 2025-09-07T09:30:51.5711907Z * [new branch] 160583 -> origin/160583 2025-09-07T09:30:51.5712800Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T09:30:51.5713588Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T09:30:51.5714865Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T09:30:51.5715923Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T09:30:51.5716883Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T09:30:51.5719483Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T09:30:51.5721016Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T09:30:51.5722780Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T09:30:51.5724762Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T09:30:51.5726223Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T09:30:51.5727481Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T09:30:51.5729113Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T09:30:51.5730830Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T09:30:51.5732266Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T09:30:51.5734630Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T09:30:51.5736322Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T09:30:51.5737894Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T09:30:51.5739706Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T09:30:51.5741095Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T09:30:51.5742676Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T09:30:51.5744569Z * [new branch] addsimde -> origin/addsimde 2025-09-07T09:30:51.5746679Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T09:30:51.5748490Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T09:30:51.5750046Z * [new branch] adi/test -> origin/adi/test 2025-09-07T09:30:51.5751660Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T09:30:51.5753221Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T09:30:51.5755048Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T09:30:51.5756768Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T09:30:51.5758264Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T09:30:51.5760074Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T09:30:51.5762736Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T09:30:51.5764558Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T09:30:51.5766225Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T09:30:51.5768542Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T09:30:51.5770185Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T09:30:51.5771672Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T09:30:51.5773414Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T09:30:51.5775353Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T09:30:51.5776813Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T09:30:51.5778442Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T09:30:51.5779932Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T09:30:51.5781508Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T09:30:51.5783089Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T09:30:51.5784879Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T09:30:51.5786453Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T09:30:51.5787973Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T09:30:51.5789511Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T09:30:51.5791080Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T09:30:51.5793000Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T09:30:51.5794946Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T09:30:51.5796501Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T09:30:51.5798221Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T09:30:51.5799826Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T09:30:51.5801428Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T09:30:51.5803021Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T09:30:51.5805075Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T09:30:51.5806888Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T09:30:51.5808308Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T09:30:51.5809949Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T09:30:51.5811524Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T09:30:51.5813249Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 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2025-09-07T09:30:52.4939787Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T09:30:52.4941053Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T09:30:52.4942303Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T09:30:52.4944094Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T09:30:52.4944928Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T09:30:52.4945743Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T09:30:52.4946651Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T09:30:52.4947518Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T09:30:52.4948338Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T09:30:52.4949298Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T09:30:52.4950208Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T09:30:52.4951088Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T09:30:52.4951949Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T09:30:52.4953313Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T09:30:52.4954194Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T09:30:52.4955132Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T09:30:52.4956208Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T09:30:52.4957055Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T09:30:52.4958027Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T09:30:52.4958877Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T09:30:52.4959945Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T09:30:52.4960817Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T09:30:52.4962198Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T09:30:52.4963205Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T09:30:52.4964345Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T09:30:52.4965204Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T09:30:52.4966059Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T09:30:52.4966913Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T09:30:52.4967786Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T09:30:52.4968633Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T09:30:52.4969508Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T09:30:52.4970381Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T09:30:52.4971266Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T09:30:52.4972012Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T09:30:52.4972902Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T09:30:52.4974341Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T09:30:52.4975740Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T09:30:52.4976633Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T09:30:52.4977746Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T09:30:52.4978399Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T09:30:52.4979961Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T09:30:52.4980929Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T09:30:52.4982082Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T09:30:52.4982935Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T09:30:52.4984003Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T09:30:52.4985404Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T09:30:52.4986347Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T09:30:52.4987192Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T09:30:52.4988138Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T09:30:52.4989208Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T09:30:52.4990240Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T09:30:52.4991453Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T09:30:52.4992184Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T09:30:52.4993029Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T09:30:52.4994036Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T09:30:52.4995037Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T09:30:52.4995896Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T09:30:52.4996691Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T09:30:52.4997638Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T09:30:52.4998469Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T09:30:52.4999305Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T09:30:52.5000138Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T09:30:52.5000973Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T09:30:52.5001804Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T09:30:52.5002681Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T09:30:52.5003663Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T09:30:52.5005036Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T09:30:52.5005758Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T09:30:52.5006658Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T09:30:52.5007587Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T09:30:52.5008466Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T09:30:52.5009491Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T09:30:52.5010398Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T09:30:52.5011246Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T09:30:52.5012411Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T09:30:52.5013159Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T09:30:52.5014555Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T09:30:52.5015367Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T09:30:52.5016400Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T09:30:52.5017475Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T09:30:52.5018366Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T09:30:52.5019366Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T09:30:52.5020448Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T09:30:52.5021539Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T09:30:52.5022617Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T09:30:52.5023499Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T09:30:52.5024929Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T09:30:52.5025795Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T09:30:52.5026696Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T09:30:52.5027604Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-09-07T09:30:52.5028716Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T09:30:52.5030333Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T09:30:52.5031331Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T09:30:52.5031980Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T09:30:52.5032854Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T09:30:52.5033916Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T09:30:52.5034971Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T09:30:52.5035867Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T09:30:52.5036769Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T09:30:52.5037845Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T09:30:52.5038835Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T09:30:52.5039873Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T09:30:52.5040774Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T09:30:52.5042071Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T09:30:52.5042886Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T09:30:52.5043975Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T09:30:52.5045036Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T09:30:52.5045963Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T09:30:52.5046866Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T09:30:52.5047910Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T09:30:52.5049010Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T09:30:52.5049971Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T09:30:52.5050917Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T09:30:52.5051856Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T09:30:52.5052770Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T09:30:52.5053664Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T09:30:52.5055126Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T09:30:52.5056059Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T09:30:52.5056975Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T09:30:52.5057923Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T09:30:52.5059218Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T09:30:52.5060047Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T09:30:52.5061323Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T09:30:52.5062127Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T09:30:52.5063097Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T09:30:52.5064294Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T09:30:52.5065423Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T09:30:52.5066311Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T09:30:52.5067271Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T09:30:52.5068202Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T09:30:52.5069146Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T09:30:52.5070656Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T09:30:52.5071523Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T09:30:52.5072473Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T09:30:52.5073431Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T09:30:52.5074642Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T09:30:52.5075643Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T09:30:52.5076602Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T09:30:52.5077675Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T09:30:52.5078662Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T09:30:52.5079621Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T09:30:52.5080564Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T09:30:52.5081771Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T09:30:52.5082635Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T09:30:52.5083619Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T09:30:52.5085014Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T09:30:52.5085871Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T09:30:52.5087052Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T09:30:52.5087812Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T09:30:52.5088799Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T09:30:52.5089826Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T09:30:52.5091050Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T09:30:52.5091964Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T09:30:52.5092994Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T09:30:52.5094615Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T09:30:52.5095464Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T09:30:52.5096474Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T09:30:52.5097442Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T09:30:52.5098657Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T09:30:52.5099466Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T09:30:52.5100457Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T09:30:52.5101446Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T09:30:52.5102467Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T09:30:52.5103425Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T09:30:52.5104866Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T09:30:52.5105731Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T09:30:52.5106764Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T09:30:52.5107765Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T09:30:52.5108765Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T09:30:52.5109774Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T09:30:52.5110796Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T09:30:52.5111774Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T09:30:52.5112763Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T09:30:52.5114103Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T09:30:52.5115135Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T09:30:52.5116140Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T09:30:52.5117241Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T09:30:52.5118598Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T09:30:52.5119484Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T09:30:52.5120484Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T09:30:52.5121513Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T09:30:52.5122523Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T09:30:52.5123541Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T09:30:52.5125403Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T09:30:52.5126169Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T09:30:52.5127124Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T09:30:52.5128139Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T09:30:52.5129187Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T09:30:52.5130201Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T09:30:52.5131236Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T09:30:52.5132252Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T09:30:52.5133223Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T09:30:52.5134732Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T09:30:52.5135635Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T09:30:52.5136860Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T09:30:52.5137740Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T09:30:52.5138797Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T09:30:52.5139856Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T09:30:52.5140910Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T09:30:52.5141922Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T09:30:52.5142961Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T09:30:52.5144375Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T09:30:52.5145377Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T09:30:52.5146425Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T09:30:52.5147480Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T09:30:52.5148768Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T09:30:52.5149746Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T09:30:52.5150798Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T09:30:52.5152106Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T09:30:52.5153129Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T09:30:52.5154446Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T09:30:52.5155693Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T09:30:52.5156664Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T09:30:52.5157955Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T09:30:52.5158901Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T09:30:52.5160139Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T09:30:52.5161085Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T09:30:52.5162284Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T09:30:52.5163240Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T09:30:52.5164655Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T09:30:52.5165806Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T09:30:52.5166738Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T09:30:52.5167785Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T09:30:52.5169038Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T09:30:52.5169970Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T09:30:52.5171178Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T09:30:52.5172127Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T09:30:52.5173200Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T09:30:52.5174747Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T09:30:52.5175783Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T09:30:52.5177023Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T09:30:52.5178019Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T09:30:52.5179258Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T09:30:52.5180278Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T09:30:52.5181533Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T09:30:52.5182464Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T09:30:52.5183519Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T09:30:52.5185030Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T09:30:52.5185995Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T09:30:52.5187373Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T09:30:52.5188592Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T09:30:52.5189850Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T09:30:52.5190888Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T09:30:52.5191729Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T09:30:52.5192587Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T09:30:52.5193659Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T09:30:52.5194813Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T09:30:52.5195628Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T09:30:52.5196460Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T09:30:52.5197346Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T09:30:52.5198191Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T09:30:52.5199496Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T09:30:52.5200307Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T09:30:52.5201372Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T09:30:52.5202780Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T09:30:52.5203548Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T09:30:52.5205447Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T09:30:52.5206039Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T09:30:52.5206860Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T09:30:52.5207678Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T09:30:52.5208545Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T09:30:52.5209502Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T09:30:52.5210511Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T09:30:52.5211440Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T09:30:52.5212532Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T09:30:52.5213573Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T09:30:52.5215370Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T09:30:52.5216331Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T09:30:52.5217361Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T09:30:52.5218393Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T09:30:52.5219537Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T09:30:52.5220678Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T09:30:52.5221960Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T09:30:52.5222802Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T09:30:52.5223612Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T09:30:52.5224761Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T09:30:52.5225579Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T09:30:52.5226441Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T09:30:52.5227227Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T09:30:52.5228025Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T09:30:52.5229005Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T09:30:52.5229870Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T09:30:52.5230677Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T09:30:52.5231501Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T09:30:52.5232759Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T09:30:52.5233488Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T09:30:52.5235048Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T09:30:52.5235735Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T09:30:52.5236906Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T09:30:52.5237817Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T09:30:52.5238619Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T09:30:52.5239434Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T09:30:52.5240819Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T09:30:52.5241331Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T09:30:52.5242284Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T09:30:52.5243114Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T09:30:52.5244148Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T09:30:52.5245092Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T09:30:52.5245923Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T09:30:52.5246813Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T09:30:52.5247685Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T09:30:52.5248522Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T09:30:52.5249977Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T09:30:52.5250849Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T09:30:52.5252356Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T09:30:52.5253101Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T09:30:52.5253991Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T09:30:52.5255233Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T09:30:52.5256210Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T09:30:52.5257193Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T09:30:52.5258196Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T09:30:52.5259175Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T09:30:52.5260191Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T09:30:52.5261142Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T09:30:52.5262134Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T09:30:52.5263594Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T09:30:52.5264499Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T09:30:52.5265511Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T09:30:52.5266480Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T09:30:52.5267522Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T09:30:52.5268496Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T09:30:52.5269986Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T09:30:52.5270869Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T09:30:52.5272090Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T09:30:52.5272790Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T09:30:52.5273598Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T09:30:52.5274735Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T09:30:52.5275597Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T09:30:52.5276794Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T09:30:52.5277569Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T09:30:52.5278411Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T09:30:52.5279297Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T09:30:52.5280129Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T09:30:52.5280933Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T09:30:52.5281753Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T09:30:52.5282625Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T09:30:52.5283432Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T09:30:52.5284480Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T09:30:52.5285393Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T09:30:52.5286272Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T09:30:52.5287093Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T09:30:52.5287947Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T09:30:52.5288836Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T09:30:52.5289693Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T09:30:52.5290521Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T09:30:52.5291757Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T09:30:52.5292430Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T09:30:52.5293463Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T09:30:52.5294627Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T09:30:52.5295452Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T09:30:52.5296338Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T09:30:52.5297262Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T09:30:52.5298135Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T09:30:52.5298972Z * [new tag] ciflow/trunk/160483 -> ciflow/trunk/160483 2025-09-07T09:30:52.5299826Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T09:30:52.5300725Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T09:30:52.5301557Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T09:30:52.5302414Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T09:30:52.5303281Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T09:30:52.5304724Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T09:30:52.5305508Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T09:30:52.5306718Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T09:30:52.5307585Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T09:30:52.5308534Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T09:30:52.5309420Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T09:30:52.5310285Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T09:30:52.5311337Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T09:30:52.5312014Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T09:30:52.5312883Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T09:30:52.5313871Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T09:30:52.5315092Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T09:30:52.5315885Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T09:30:52.5316735Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T09:30:52.5318142Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T09:30:52.5318925Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T09:30:52.5319803Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T09:30:52.5320672Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T09:30:52.5321532Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T09:30:52.5322448Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T09:30:52.5323435Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T09:30:52.5324660Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T09:30:52.5325626Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T09:30:52.5326526Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T09:30:52.5327443Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T09:30:52.5328368Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T09:30:52.5329275Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T09:30:52.5330173Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T09:30:52.5331083Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T09:30:52.5331976Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T09:30:52.5332873Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T09:30:52.5333915Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T09:30:52.5335254Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T09:30:52.5336068Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T09:30:52.5336991Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T09:30:52.5337907Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T09:30:52.5338826Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T09:30:52.5339762Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T09:30:52.5340686Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T09:30:52.5341611Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T09:30:52.5342545Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T09:30:52.5343597Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T09:30:52.5346074Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T09:30:52.5346879Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T09:30:52.5347983Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T09:30:52.5348796Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T09:30:52.5349735Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T09:30:52.5350695Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T09:30:52.5351951Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T09:30:52.5352759Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T09:30:52.5353652Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T09:30:52.5355030Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T09:30:52.5355843Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T09:30:52.5356785Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T09:30:52.5357839Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T09:30:52.5358813Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T09:30:52.5359768Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T09:30:52.5360759Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T09:30:52.5361694Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T09:30:52.5362624Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T09:30:52.5363664Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T09:30:52.5364900Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T09:30:52.5365843Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T09:30:52.5366853Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T09:30:52.5367820Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T09:30:52.5368772Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T09:30:52.5369706Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T09:30:52.5371065Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T09:30:52.5372118Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T09:30:52.5373095Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T09:30:52.5374407Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T09:30:52.5375450Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T09:30:52.5376471Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T09:30:52.5377527Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T09:30:52.5378347Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T09:30:52.5379406Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T09:30:52.5380433Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T09:30:52.5381448Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T09:30:52.5382428Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T09:30:52.5383940Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T09:30:52.5385253Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T09:30:52.5386402Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T09:30:52.5387337Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T09:30:52.5388468Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T09:30:52.5389170Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T09:30:52.5390185Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T09:30:52.5390912Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T09:30:52.5391766Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T09:30:52.5392754Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T09:30:52.5393914Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T09:30:52.5394923Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T09:30:52.5395702Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T09:30:52.5396802Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T09:30:52.5397951Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T09:30:52.5398691Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T09:30:52.5399584Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T09:30:52.5400402Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T09:30:52.5401423Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T09:30:52.5402108Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T09:30:52.5403226Z * [new tag] cslpull75 -> cslpull75 2025-09-07T09:30:52.5404388Z * [new tag] cslpull76 -> cslpull76 2025-09-07T09:30:52.5405224Z * [new tag] cslpull77 -> cslpull77 2025-09-07T09:30:52.5406215Z * [new tag] cslpull78 -> cslpull78 2025-09-07T09:30:52.5406995Z * [new tag] cslpull79 -> cslpull79 2025-09-07T09:30:52.5408091Z * [new tag] cslpull80 -> cslpull80 2025-09-07T09:30:52.5408931Z * [new tag] cslpull81 -> cslpull81 2025-09-07T09:30:52.5409913Z * [new tag] cslpull82 -> cslpull82 2025-09-07T09:30:52.5410735Z * [new tag] cslpull83 -> cslpull83 2025-09-07T09:30:52.5411710Z * [new tag] cslpull84 -> cslpull84 2025-09-07T09:30:52.5412479Z * [new tag] cslpull85 -> cslpull85 2025-09-07T09:30:52.5413683Z * [new tag] cslpull86 -> cslpull86 2025-09-07T09:30:52.5414917Z * [new tag] cslpull87 -> cslpull87 2025-09-07T09:30:52.5415737Z * [new tag] cslpull88 -> cslpull88 2025-09-07T09:30:52.5416752Z * [new tag] cslpull89 -> cslpull89 2025-09-07T09:30:52.5417456Z * [new tag] cslpull90 -> cslpull90 2025-09-07T09:30:52.5418843Z * [new tag] cslpull91 -> cslpull91 2025-09-07T09:30:52.5419683Z * [new tag] cslpull92 -> cslpull92 2025-09-07T09:30:52.5420688Z * [new tag] flight_5 -> flight_5 2025-09-07T09:30:52.5421683Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T09:30:52.5422674Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T09:30:52.5423472Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T09:30:52.5424803Z * [new tag] forpull1 -> forpull1 2025-09-07T09:30:52.5426313Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T09:30:52.5427090Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T09:30:52.5428157Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T09:30:52.5429014Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T09:30:52.5429859Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T09:30:52.5431019Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T09:30:52.5432525Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T09:30:52.5433392Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T09:30:52.5434795Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T09:30:52.5435688Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T09:30:52.5436654Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T09:30:52.5437745Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T09:30:52.5438906Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T09:30:52.5439844Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T09:30:52.5441025Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T09:30:52.5441853Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T09:30:52.5443053Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T09:30:52.5444038Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T09:30:52.5445214Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T09:30:52.5446622Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T09:30:52.5447572Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T09:30:52.5448502Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T09:30:52.5449670Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T09:30:52.5450614Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T09:30:52.5451606Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T09:30:52.5452603Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T09:30:52.5453599Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T09:30:52.5455036Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T09:30:52.5456125Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T09:30:52.5456975Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T09:30:52.5458204Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T09:30:52.5459080Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T09:30:52.5460092Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T09:30:52.5461066Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T09:30:52.5462642Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T09:30:52.5463604Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T09:30:52.5465681Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T09:30:52.5466297Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T09:30:52.5467377Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T09:30:52.5468562Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T09:30:52.5468934Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T09:30:52.5469882Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T09:30:52.5471558Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T09:30:52.5472561Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T09:30:52.5473519Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T09:30:52.5474971Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T09:30:52.5475947Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T09:30:52.5477209Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T09:30:52.5478079Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T09:30:52.5479268Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T09:30:52.5480164Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T09:30:52.5481358Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T09:30:52.5482351Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T09:30:52.5483527Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T09:30:52.5485995Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T09:30:52.5486811Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T09:30:52.5487783Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T09:30:52.5488781Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T09:30:52.5490006Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T09:30:52.5490885Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T09:30:52.5492073Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T09:30:52.5493032Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T09:30:52.5494191Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T09:30:52.5495183Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T09:30:52.5496189Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T09:30:52.5497388Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T09:30:52.5498197Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T09:30:52.5499057Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T09:30:52.5500086Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T09:30:52.5501111Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T09:30:52.5502265Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T09:30:52.5503312Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T09:30:52.5504670Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T09:30:52.5505868Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T09:30:52.5506728Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T09:30:52.5507921Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T09:30:52.5508916Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T09:30:52.5510170Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T09:30:52.5511097Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T09:30:52.5512223Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T09:30:52.5513212Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T09:30:52.5514679Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T09:30:52.5515530Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T09:30:52.5516744Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T09:30:52.5517699Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T09:30:52.5518915Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T09:30:52.5519892Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T09:30:52.5521076Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T09:30:52.5522222Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T09:30:52.5523900Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T09:30:52.5525102Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T09:30:52.5526066Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T09:30:52.5527411Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T09:30:52.5528367Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T09:30:52.5529517Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T09:30:52.5530668Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T09:30:52.5531825Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T09:30:52.5532748Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T09:30:52.5534043Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T09:30:52.5535336Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T09:30:52.5536522Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T09:30:52.5537436Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T09:30:52.5538663Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T09:30:52.5539835Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T09:30:52.5540808Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T09:30:52.5541957Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T09:30:52.5543133Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T09:30:52.5544332Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T09:30:52.5546048Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T09:30:52.5546905Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T09:30:52.5548141Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T09:30:52.5549323Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T09:30:52.5550433Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T09:30:52.5551607Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T09:30:52.5552555Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T09:30:52.5553943Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T09:30:52.5555287Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T09:30:52.5571076Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T09:30:52.5571493Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T09:30:52.5571824Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T09:30:52.5572171Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T09:30:52.5572489Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T09:30:52.5572813Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T09:30:52.5575232Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T09:30:52.5575620Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T09:30:52.5576069Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T09:30:52.5576485Z * [new tag] trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 -> trunk/7a83cf430e97d83d6fb14880b9049e77ff725685 2025-09-07T09:30:52.5576854Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T09:30:52.5577201Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T09:30:52.5577545Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T09:30:52.5577882Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T09:30:52.5578241Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T09:30:52.5578593Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T09:30:52.5578948Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T09:30:52.5579636Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T09:30:52.5580016Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T09:30:52.5580375Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T09:30:52.5580733Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T09:30:52.5581094Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T09:30:52.5581798Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T09:30:52.5583033Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T09:30:52.5584338Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T09:30:52.5585538Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T09:30:52.5586665Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T09:30:52.5587887Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T09:30:52.5588871Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T09:30:52.5590148Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T09:30:52.5591592Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T09:30:52.5592807Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T09:30:52.5594196Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T09:30:52.5595399Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T09:30:52.5596644Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T09:30:52.5597988Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T09:30:52.5599316Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:30:52.5600534Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T09:30:52.5601524Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T09:30:52.5602793Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T09:30:52.5604049Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T09:30:52.5605338Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T09:30:52.5606503Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T09:30:52.5607883Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T09:30:52.5608767Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T09:30:52.5609987Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T09:30:52.5611492Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T09:30:52.5612635Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T09:30:52.5613895Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T09:30:52.5615124Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T09:30:52.5616150Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T09:30:52.5617332Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T09:30:52.5618309Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T09:30:52.5619687Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T09:30:52.5620874Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T09:30:52.5621856Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T09:30:52.5623038Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T09:30:52.5624038Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T09:30:52.5625406Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T09:30:52.5626560Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T09:30:52.5627555Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T09:30:52.5628788Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T09:30:52.5629725Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T09:30:52.5630937Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T09:30:52.5632337Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T09:30:52.5633495Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T09:30:52.5634796Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T09:30:52.5635818Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T09:30:52.5636948Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T09:30:52.5638319Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T09:30:52.5639220Z * [new tag] trunk/ada43ed39c80b746b4822c92640a1882619e2795 -> trunk/ada43ed39c80b746b4822c92640a1882619e2795 2025-09-07T09:30:52.5640388Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T09:30:52.5641384Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T09:30:52.5642595Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T09:30:52.5643595Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T09:30:52.5645151Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T09:30:52.5646151Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T09:30:52.5647304Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T09:30:52.5648476Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T09:30:52.5649406Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T09:30:52.5650594Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T09:30:52.5651542Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T09:30:52.5652718Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T09:30:52.5654032Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T09:30:52.5655352Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T09:30:52.5656352Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T09:30:52.5657518Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T09:30:52.5658630Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T09:30:52.5659839Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T09:30:52.5660961Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T09:30:52.5661924Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T09:30:52.5663098Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T09:30:52.5664165Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T09:30:52.5665463Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T09:30:52.5666593Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T09:30:52.5667715Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T09:30:52.5669023Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T09:30:52.5669910Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T09:30:52.5671105Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T09:30:52.5672130Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T09:30:52.5673287Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T09:30:52.5674660Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T09:30:52.5675926Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T09:30:52.5676818Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T09:30:52.5678184Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T09:30:52.5679171Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T09:30:52.5680261Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T09:30:52.5681438Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T09:30:52.5682397Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T09:30:52.5683603Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T09:30:52.5684920Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T09:30:52.5686124Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T09:30:52.5687145Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T09:30:52.5688508Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T09:30:52.5689676Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T09:30:52.5690701Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T09:30:52.5691876Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T09:30:52.5693077Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T09:30:52.5694391Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T09:30:52.5695581Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T09:30:52.5696570Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T09:30:52.5697754Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T09:30:52.5699066Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T09:30:52.5699853Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T09:30:52.5701052Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T09:30:52.5702610Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T09:30:52.5703942Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T09:30:52.5705375Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T09:30:52.5706525Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T09:30:52.5707637Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T09:30:52.5708798Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T09:30:52.5709724Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T09:30:52.5711034Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T09:30:52.5711933Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T09:30:52.5713235Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T09:30:52.5714617Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T09:30:52.5715803Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T09:30:52.5716986Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T09:30:52.5718231Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T09:30:52.5719378Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T09:30:52.5720516Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T09:30:52.5721679Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T09:30:52.5722587Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T09:30:52.5723960Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T09:30:52.5725154Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T09:30:52.5726183Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T09:30:52.5727432Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T09:30:52.5728435Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T09:30:52.5729454Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T09:30:52.5730827Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T09:30:52.5731823Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T09:30:52.5733076Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T09:30:52.5734257Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T09:30:52.5735610Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T09:30:52.5736789Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T09:30:52.5737712Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T09:30:52.5739054Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T09:30:52.5740202Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T09:30:52.5741178Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T09:30:52.5742359Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T09:30:52.5743374Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T09:30:52.5744983Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T09:30:52.5746139Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T09:30:52.5747053Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T09:30:52.5748022Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T09:30:52.5749069Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T09:30:52.5749909Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T09:30:52.5750969Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T09:30:52.5751956Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T09:30:52.5752746Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T09:30:52.5753984Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T09:30:52.5755109Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T09:30:52.5756074Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T09:30:52.5757083Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T09:30:52.5758127Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T09:30:52.5759096Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T09:30:52.5760103Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T09:30:52.5761143Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T09:30:52.5762219Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T09:30:52.5763262Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T09:30:52.5764630Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T09:30:52.5765724Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T09:30:52.5766966Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T09:30:52.5767719Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T09:30:52.5768856Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T09:30:52.5769650Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T09:30:52.5770745Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T09:30:52.5771759Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T09:30:52.5772986Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T09:30:52.5774382Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T09:30:52.5775456Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T09:30:52.5776292Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T09:30:52.5777480Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T09:30:52.5778281Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T09:30:52.5779086Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T09:30:52.5780066Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T09:30:52.5781149Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T09:30:52.5782295Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T09:30:52.5783390Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T09:30:52.5784792Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T09:30:52.5785957Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T09:30:52.5787049Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T09:30:52.5787851Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T09:30:52.5788820Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T09:30:52.5789860Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T09:30:52.5790886Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T09:30:52.5791955Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T09:30:52.5793252Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T09:30:52.5794654Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T09:30:52.5795708Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T09:30:52.5796855Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T09:30:52.5797788Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T09:30:52.5798760Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T09:30:52.5799571Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T09:30:52.5800849Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T09:30:52.5801931Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T09:30:52.5803120Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T09:30:52.5804434Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T09:30:52.5805236Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T09:30:52.5806513Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T09:30:52.5807572Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T09:30:52.5808579Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T09:30:52.5809673Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T09:30:52.5811112Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T09:30:52.5811801Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T09:30:52.5812782Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T09:30:52.5813992Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T09:30:52.5815053Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T09:30:52.5816116Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T09:30:52.5817244Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T09:30:52.5818322Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T09:30:52.5819448Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T09:30:52.5820271Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T09:30:52.5821480Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T09:30:52.5822617Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T09:30:52.5823386Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T09:30:52.5824916Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T09:30:52.5826069Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T09:30:52.5827228Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T09:30:52.5828423Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T09:30:52.5829421Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T09:30:52.5830265Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T09:30:52.5831490Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T09:30:52.5832311Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T09:30:52.5833331Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T09:30:52.5834662Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T09:30:52.5835860Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T09:30:52.5836998Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T09:30:52.5838246Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T09:30:52.5839416Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T09:30:52.5840471Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T09:30:52.5841310Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T09:30:52.5842548Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T09:30:52.5843678Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T09:30:52.5845192Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T09:30:52.5846274Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T09:30:52.5847271Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T09:30:52.5848379Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T09:30:52.5849647Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T09:30:52.5850754Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T09:30:52.5851772Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T09:30:52.5852879Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T09:30:52.5853822Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T09:30:52.5855280Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T09:30:52.5856411Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T09:30:52.5857715Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T09:30:52.5858488Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T09:30:52.5859519Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T09:30:52.5860736Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T09:30:52.5861568Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T09:30:52.5862588Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T09:30:52.5864364Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T09:30:52.5865352Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T09:30:52.5866546Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T09:30:52.5867623Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T09:30:52.5868877Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T09:30:52.5870041Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T09:30:52.5871052Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T09:30:52.5872262Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T09:30:52.5873856Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T09:30:52.5874951Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T09:30:52.5876124Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T09:30:52.5877303Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T09:30:52.5878559Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T09:30:52.5879772Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T09:30:52.5880966Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T09:30:52.5882068Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T09:30:52.5883043Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T09:30:52.5884542Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T09:30:52.5885770Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T09:30:52.5886808Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T09:30:52.5887853Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T09:30:52.5888863Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T09:30:52.5890456Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T09:30:52.5891597Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T09:30:52.5892724Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T09:30:52.5894275Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T09:30:52.5895459Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T09:30:52.5896681Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T09:30:52.5897655Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T09:30:52.5898858Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T09:30:52.5900061Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T09:30:52.5901233Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T09:30:52.5902551Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T09:30:52.5903882Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T09:30:52.5905153Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T09:30:52.5906273Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T09:30:52.5907307Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T09:30:52.5908535Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T09:30:52.5909903Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T09:30:52.5910885Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T09:30:52.5912116Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T09:30:52.5913327Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T09:30:52.5914709Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T09:30:52.5915919Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T09:30:52.5917068Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T09:30:52.5918312Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T09:30:52.5919486Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T09:30:52.5920502Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T09:30:52.5921488Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T09:30:52.5922799Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T09:30:52.5924227Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T09:30:52.5925293Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T09:30:52.5926278Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T09:30:52.5927276Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T09:30:52.5928531Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T09:30:52.5929529Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T09:30:52.5930564Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T09:30:52.5931771Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T09:30:52.5932949Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T09:30:52.5934408Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T09:30:52.5935734Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T09:30:52.5936721Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T09:30:52.5937930Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T09:30:52.5939144Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T09:30:52.5940363Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T09:30:52.5941569Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T09:30:52.5942577Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T09:30:52.5943965Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T09:30:52.5945288Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T09:30:52.5946312Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T09:30:52.5947347Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T09:30:52.5948543Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T09:30:52.5952339Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T09:30:52.5954464Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T09:30:52.5955751Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T09:30:52.5956880Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T09:30:52.5958324Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T09:30:52.5959322Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T09:30:52.5960522Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T09:30:52.5961706Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T09:30:52.5963022Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T09:30:52.5964466Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T09:30:52.5965639Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T09:30:52.5966927Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T09:30:52.5967921Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T09:30:52.5969173Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T09:30:52.5970378Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T09:30:52.5971592Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T09:30:52.5972815Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T09:30:52.5974077Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T09:30:52.5975197Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T09:30:52.5976391Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T09:30:52.5977514Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T09:30:52.5978717Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T09:30:52.5979952Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T09:30:52.5981189Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T09:30:52.5982400Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T09:30:52.5983606Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T09:30:52.5985081Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T09:30:52.5986120Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T09:30:52.5987106Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T09:30:52.5988102Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T09:30:52.5989387Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T09:30:52.5990635Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T09:30:52.5991840Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T09:30:52.5992997Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T09:30:52.5994675Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T09:30:52.5995993Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T09:30:52.5997296Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T09:30:52.5998629Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T09:30:52.5999908Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T09:30:52.6001254Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T09:30:52.6002494Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T09:30:52.6003511Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T09:30:52.6005114Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T09:30:52.6006324Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T09:30:52.6007593Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T09:30:52.6008896Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T09:30:52.6009964Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T09:30:52.6011129Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T09:30:52.6012523Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T09:30:52.6013904Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T09:30:52.6015113Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T09:30:52.6016469Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T09:30:52.6017661Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T09:30:52.6018940Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T09:30:52.6020132Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T09:30:52.6021171Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T09:30:52.6022200Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T09:30:52.6023458Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T09:30:52.6024926Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T09:30:52.6026243Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T09:30:52.6027505Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T09:30:52.6028803Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T09:30:52.6030075Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T09:30:52.6031286Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T09:30:52.6032491Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T09:30:52.6033853Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T09:30:52.6035231Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T09:30:52.6036360Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T09:30:52.6874489Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T09:30:52.6906383Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:30:52.6911279Z ##[endgroup] 2025-09-07T09:30:52.6911572Z ##[group]Determining the checkout info 2025-09-07T09:30:52.6913252Z ##[endgroup] 2025-09-07T09:30:52.6918164Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T09:30:52.6974885Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T09:30:52.7009963Z ##[group]Checking out the ref 2025-09-07T09:30:52.7013311Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:30:53.9955591Z Updating files: 85% (16498/19405) 2025-09-07T09:30:54.0085974Z Updating files: 86% (16689/19405) 2025-09-07T09:30:54.0213553Z Updating files: 87% (16883/19405) 2025-09-07T09:30:54.0315172Z Updating files: 88% (17077/19405) 2025-09-07T09:30:54.0447834Z Updating files: 89% (17271/19405) 2025-09-07T09:30:54.0611830Z Updating files: 90% (17465/19405) 2025-09-07T09:30:54.0720852Z Updating files: 91% (17659/19405) 2025-09-07T09:30:54.0857526Z Updating files: 92% (17853/19405) 2025-09-07T09:30:54.1035001Z 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You can look around, make experimental 2025-09-07T09:30:54.2356267Z changes and commit them, and you can discard any commits you make in this 2025-09-07T09:30:54.2357188Z state without impacting any branches by switching back to a branch. 2025-09-07T09:30:54.2357479Z 2025-09-07T09:30:54.2357647Z If you want to create a new branch to retain commits you create, you may 2025-09-07T09:30:54.2358049Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T09:30:54.2358281Z 2025-09-07T09:30:54.2358375Z git switch -c 2025-09-07T09:30:54.2358535Z 2025-09-07T09:30:54.2358620Z Or undo this operation with: 2025-09-07T09:30:54.2358770Z 2025-09-07T09:30:54.2358842Z git switch - 2025-09-07T09:30:54.2358955Z 2025-09-07T09:30:54.2359144Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T09:30:54.2359430Z 2025-09-07T09:30:54.2359576Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T09:30:54.2489979Z ##[endgroup] 2025-09-07T09:30:54.2490376Z ##[group]Setting up auth for fetching submodules 2025-09-07T09:30:54.2496385Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:30:54.2544142Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T09:30:54.2576152Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T09:30:54.2606980Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T09:30:54.2634555Z ##[endgroup] 2025-09-07T09:30:54.2634935Z ##[group]Fetching submodules 2025-09-07T09:30:54.2637781Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T09:30:54.2939278Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T09:30:54.3216596Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T09:30:54.3228855Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T09:30:54.3242464Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T09:30:54.3256176Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T09:30:54.3268814Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T09:30:54.3282317Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T09:30:54.3294369Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T09:30:54.3306596Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T09:30:54.3319264Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T09:30:54.3331736Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T09:30:54.3343543Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T09:30:54.3355979Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T09:30:54.3368957Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T09:30:54.3381448Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T09:30:54.3392732Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T09:30:54.3404575Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T09:30:54.3416922Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T09:30:54.3428543Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T09:30:54.3439991Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:30:54.3451501Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T09:30:54.3463675Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T09:30:54.3475396Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T09:30:54.3486842Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T09:30:54.3498620Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T09:30:54.3510286Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T09:30:54.3521839Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T09:30:54.3533450Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T09:30:54.3545196Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T09:30:54.3557022Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T09:30:54.3568418Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T09:30:54.3580323Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T09:30:54.3592047Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T09:30:54.3604959Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T09:30:54.3616824Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T09:30:54.3629098Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T09:30:54.3640851Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T09:30:54.3652979Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T09:30:54.3687174Z Cloning into '/home/bob/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T09:30:54.7492916Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T09:30:55.0641818Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T09:30:55.3434096Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T09:30:55.7141690Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T09:30:56.2056274Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T09:30:57.3317443Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T09:31:07.1480999Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T09:31:10.9190845Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T09:31:11.4215286Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T09:31:14.3886045Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T09:31:14.9753621Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T09:31:15.6884876Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T09:31:16.7854377Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T09:31:18.6892500Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T09:31:20.2370716Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T09:31:20.8716625Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T09:31:22.0968694Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T09:31:23.0662012Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T09:31:23.5661759Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T09:31:24.0312943Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T09:31:24.8710793Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T09:31:25.3230199Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T09:31:25.8833190Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T09:31:27.4558972Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T09:31:27.9887831Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T09:31:29.7746085Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T09:31:35.3952550Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T09:31:37.9433360Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T09:31:42.7940113Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T09:31:43.1575286Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T09:31:50.3909213Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T09:31:50.6656217Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T09:31:51.0217597Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T09:31:52.0527276Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T09:31:52.4527334Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T09:31:53.3835249Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T09:31:53.9042338Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T09:31:53.9176083Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T09:31:53.9282477Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T09:31:53.9539765Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T09:31:54.0300904Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T09:31:54.0791651Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T09:31:54.8321043Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T09:31:54.9859821Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T09:31:54.9900469Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:31:54.9931828Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T09:31:58.2762321Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T09:31:58.3013268Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T09:31:58.6309484Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T09:31:58.6810281Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T09:31:58.7779678Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T09:31:58.8213171Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T09:31:59.4558723Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T09:31:59.6021681Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T09:31:59.6059197Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T09:31:59.6069614Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:31:59.6080471Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:31:59.6091338Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T09:31:59.6103160Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T09:31:59.6114705Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:31:59.6125612Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T09:31:59.6158424Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T09:32:00.7384475Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T09:32:01.7900079Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T09:32:02.5973414Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T09:32:04.3104461Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T09:32:05.1854109Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T09:32:05.6052728Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T09:32:11.0887921Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T09:32:11.3554053Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T09:32:11.4544069Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T09:32:12.0854685Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T09:32:12.1305959Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:32:12.1432094Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T09:32:12.2485879Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T09:32:12.3906876Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T09:32:12.6226241Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:32:12.7422047Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:32:12.7457750Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T09:32:18.4436456Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T09:32:22.9709847Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T09:32:23.6376398Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T09:32:23.8298178Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T09:32:23.9120525Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T09:32:24.0025180Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T09:32:24.4384209Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T09:32:24.5248571Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:32:24.6120484Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T09:32:24.7211766Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T09:32:24.7241623Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T09:32:40.9178711Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T09:32:40.9907835Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T09:32:41.3695449Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T09:32:41.6485721Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:32:41.6948114Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:32:41.8066970Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:32:42.0490057Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T09:32:43.8361049Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T09:32:45.2912958Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T09:32:47.9254536Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T09:32:48.0600036Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:32:48.1577943Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:32:48.3830085Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:32:48.4410525Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:32:48.5362194Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:32:48.7871947Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:32:49.0868958Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:32:49.0940338Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:32:49.0978490Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T09:32:52.5128069Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T09:32:54.7174314Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T09:32:57.6801278Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T09:32:59.2771609Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T09:33:01.0677609Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T09:33:03.9217986Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T09:33:11.4237356Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T09:33:12.1329940Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T09:33:12.1549379Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T09:33:12.1945910Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T09:33:12.2125422Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T09:33:12.2389715Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:33:12.2423187Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T09:33:13.0868685Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T09:33:13.1808736Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T09:33:13.2383367Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T09:33:13.3582833Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T09:33:13.3964651Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T09:33:13.4474387Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T09:33:13.5100661Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T09:33:13.5559091Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T09:33:13.6001932Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T09:33:13.7213381Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T09:33:14.4958086Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T09:33:14.5065801Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T09:33:14.5101998Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T09:33:15.6710058Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T09:33:15.7470465Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T09:33:15.7504356Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:33:15.7517549Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:33:15.7531188Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:33:15.7544864Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:33:15.7558710Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:33:15.7572316Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:33:15.7585079Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:33:15.7597880Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:33:15.7629659Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T09:33:16.2788322Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T09:33:17.2086428Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T09:33:17.6467042Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T09:33:23.0909487Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T09:33:23.4693417Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T09:33:23.7731088Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T09:33:24.1597798Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T09:33:30.1676404Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T09:33:30.2070740Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T09:33:30.2236793Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T09:33:30.3281614Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T09:33:30.3444996Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T09:33:30.3608782Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T09:33:30.3780881Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T09:33:30.3811148Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:33:30.3824060Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:33:30.3856516Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T09:33:32.3555920Z Cloning into '/home/bob/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T09:33:33.5116953Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T09:33:33.5598138Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T09:33:34.1254818Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T09:33:34.1402574Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T09:33:34.4201201Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T09:33:34.4242684Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:33:34.4259211Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 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Entering 'third_party/aiter' 2025-09-07T09:33:40.9304045Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T09:33:40.9325888Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:33:40.9369026Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T09:33:40.9399439Z Entering 'third_party/benchmark' 2025-09-07T09:33:40.9441565Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:33:40.9462900Z Entering 'third_party/composable_kernel' 2025-09-07T09:33:40.9505104Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T09:33:40.9534548Z Entering 'third_party/cpp-httplib' 2025-09-07T09:33:40.9576253Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 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Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:33:40.9970822Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T09:33:40.9997632Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:33:41.0038897Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T09:33:41.0059347Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:33:41.0100046Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T09:33:41.0128409Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:33:41.0169367Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T09:33:41.0189623Z Entering 'third_party/fbgemm/external/hipify_torch' 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file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T09:33:41.0517567Z Entering 'third_party/flatbuffers' 2025-09-07T09:33:41.0560578Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T09:33:41.0584214Z Entering 'third_party/fmt' 2025-09-07T09:33:41.0628314Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T09:33:41.0649636Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:33:41.0691388Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T09:33:41.0712835Z Entering 'third_party/gloo' 2025-09-07T09:33:41.0753938Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T09:33:41.0775381Z Entering 'third_party/googletest' 2025-09-07T09:33:41.0816524Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:33:41.0838431Z Entering 'third_party/ideep' 2025-09-07T09:33:41.0879954Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T09:33:41.0899698Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:33:41.0938895Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T09:33:41.0969662Z Entering 'third_party/ittapi' 2025-09-07T09:33:41.1011375Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T09:33:41.1032827Z Entering 'third_party/kineto' 2025-09-07T09:33:41.1075983Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T09:33:41.1095259Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:33:41.1138980Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T09:33:41.1159852Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:33:41.1202652Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T09:33:41.1224358Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:33:41.1268443Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T09:33:41.1286487Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:33:41.1327354Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config 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file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T09:33:41.1794678Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:33:41.1838303Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T09:33:41.1862107Z Entering 'third_party/kleidiai' 2025-09-07T09:33:41.1904673Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T09:33:41.1926572Z Entering 'third_party/mimalloc' 2025-09-07T09:33:41.1967909Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T09:33:41.1989488Z Entering 'third_party/nlohmann' 2025-09-07T09:33:41.2032109Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T09:33:41.2055846Z Entering 'third_party/onnx' 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file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:33:41.2394779Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:33:41.2436286Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T09:33:41.2457173Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:33:41.2800071Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T09:33:41.2823483Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:33:41.2867309Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T09:33:41.2888391Z Entering 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http.https://github.com/.extraheader 2025-09-07T09:33:43.8620782Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:33:43.8648801Z http.https://github.com/.extraheader 2025-09-07T09:33:43.8688979Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:33:43.8715965Z http.https://github.com/.extraheader 2025-09-07T09:33:43.8751348Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:33:43.8778965Z http.https://github.com/.extraheader 2025-09-07T09:33:43.8814255Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:33:43.8841176Z http.https://github.com/.extraheader 2025-09-07T09:33:43.8878627Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:33:43.8904263Z http.https://github.com/.extraheader 2025-09-07T09:33:43.8943626Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:33:43.8971496Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9006967Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:33:43.9034419Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9072986Z Entering 'third_party/kleidiai' 2025-09-07T09:33:43.9101849Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9137991Z Entering 'third_party/mimalloc' 2025-09-07T09:33:43.9166390Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9201740Z Entering 'third_party/nlohmann' 2025-09-07T09:33:43.9230109Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9267303Z Entering 'third_party/onnx' 2025-09-07T09:33:43.9295674Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9346268Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:33:43.9375072Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9415709Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:33:43.9444654Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9480549Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:33:43.9507599Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9806313Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:33:43.9835020Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9870402Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:33:43.9899380Z http.https://github.com/.extraheader 2025-09-07T09:33:43.9934927Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:33:43.9963919Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0000816Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:33:44.0029684Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0065425Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:33:44.0092747Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0128324Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:33:44.0156430Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0191099Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:33:44.0220096Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0257119Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:33:44.0284067Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0321716Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:33:44.0350224Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0406915Z Entering 'third_party/pocketfft' 2025-09-07T09:33:44.0435687Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0470884Z Entering 'third_party/protobuf' 2025-09-07T09:33:44.0499274Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0537200Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:33:44.0565215Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0600577Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:33:44.0627810Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0667278Z Entering 'third_party/psimd' 2025-09-07T09:33:44.0695257Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0730302Z Entering 'third_party/pthreadpool' 2025-09-07T09:33:44.0758226Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0792734Z Entering 'third_party/pybind11' 2025-09-07T09:33:44.0820747Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0855991Z Entering 'third_party/python-peachpy' 2025-09-07T09:33:44.0883914Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0918694Z Entering 'third_party/sleef' 2025-09-07T09:33:44.0946782Z http.https://github.com/.extraheader 2025-09-07T09:33:44.0981806Z Entering 'third_party/tensorpipe' 2025-09-07T09:33:44.1010215Z http.https://github.com/.extraheader 2025-09-07T09:33:44.1045251Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:33:44.1071301Z http.https://github.com/.extraheader 2025-09-07T09:33:44.1107379Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:33:44.1136179Z http.https://github.com/.extraheader 2025-09-07T09:33:44.1172447Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:33:44.1199847Z http.https://github.com/.extraheader 2025-09-07T09:33:44.1235258Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:33:44.1264640Z http.https://github.com/.extraheader 2025-09-07T09:33:44.1298652Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:33:44.1326461Z http.https://github.com/.extraheader 2025-09-07T09:33:44.1388129Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:33:44.1425300Z ##[endgroup] 2025-09-07T09:33:44.1425663Z ##[group]Fetching the repository 2025-09-07T09:33:44.1432046Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T09:33:44.7307540Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T09:33:44.7339533Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:33:44.7345514Z ##[endgroup] 2025-09-07T09:33:44.7345937Z ##[group]Determining the checkout info 2025-09-07T09:33:44.7347021Z ##[endgroup] 2025-09-07T09:33:44.7351454Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T09:33:44.7543866Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T09:33:44.7575551Z ##[group]Checking out the ref 2025-09-07T09:33:44.7580014Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:33:44.7912741Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T09:33:44.7923289Z ##[endgroup] 2025-09-07T09:33:44.7923629Z ##[group]Setting up auth for fetching submodules 2025-09-07T09:33:44.7928443Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T09:33:44.7966691Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T09:33:44.7995367Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T09:33:44.8024921Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T09:33:44.8051705Z ##[endgroup] 2025-09-07T09:33:44.8052122Z ##[group]Fetching submodules 2025-09-07T09:33:44.8054906Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T09:33:44.8329845Z Synchronizing submodule url for 'android/libs/fbjni' 2025-09-07T09:33:44.8353255Z Synchronizing submodule url for 'third_party/FP16' 2025-09-07T09:33:44.8376802Z Synchronizing submodule url for 'third_party/FXdiv' 2025-09-07T09:33:44.8402193Z Synchronizing submodule url for 'third_party/NNPACK' 2025-09-07T09:33:44.8427207Z Synchronizing submodule url for 'third_party/NVTX' 2025-09-07T09:33:44.8452311Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-09-07T09:33:44.8477503Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-09-07T09:33:44.8516587Z Synchronizing submodule url for 'third_party/aiter' 2025-09-07T09:33:44.8541026Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:33:44.8574744Z Synchronizing submodule url for 'third_party/benchmark' 2025-09-07T09:33:44.8601451Z Synchronizing submodule url for 'third_party/composable_kernel' 2025-09-07T09:33:44.8634206Z Synchronizing submodule url for 'third_party/cpp-httplib' 2025-09-07T09:33:44.8658491Z Synchronizing submodule url for 'third_party/cpuinfo' 2025-09-07T09:33:44.8684214Z Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-09-07T09:33:44.8708725Z Synchronizing submodule url for 'third_party/cutlass' 2025-09-07T09:33:44.8741754Z Synchronizing submodule url for 'third_party/fbgemm' 2025-09-07T09:33:44.8767497Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-09-07T09:33:44.8791763Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:33:44.8821949Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:33:44.8845138Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-09-07T09:33:44.8876436Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest' 2025-09-07T09:33:44.8899299Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:33:44.8921333Z Synchronizing submodule url for 'third_party/fbgemm/external/json' 2025-09-07T09:33:44.8949991Z Synchronizing submodule url for 'third_party/flash-attention' 2025-09-07T09:33:44.8974151Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:33:44.9003181Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:33:44.9037620Z Synchronizing submodule url for 'third_party/flatbuffers' 2025-09-07T09:33:44.9065609Z Synchronizing submodule url for 'third_party/fmt' 2025-09-07T09:33:44.9091666Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:33:44.9114514Z Synchronizing submodule url for 'third_party/gloo' 2025-09-07T09:33:44.9140007Z Synchronizing submodule url for 'third_party/googletest' 2025-09-07T09:33:44.9164616Z Synchronizing submodule url for 'third_party/ideep' 2025-09-07T09:33:44.9185428Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn' 2025-09-07T09:33:44.9216406Z Synchronizing submodule url for 'third_party/ittapi' 2025-09-07T09:33:44.9241242Z Synchronizing submodule url for 'third_party/kineto' 2025-09-07T09:33:44.9266811Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:33:44.9292304Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:33:44.9318648Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:33:44.9343046Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:33:44.9367456Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:33:44.9391394Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:33:44.9417936Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:33:44.9442171Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:33:44.9466630Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:33:44.9491665Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:33:44.9518608Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:33:44.9543205Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:33:44.9570349Z Synchronizing submodule url for 'third_party/kleidiai' 2025-09-07T09:33:44.9595527Z Synchronizing submodule url for 'third_party/mimalloc' 2025-09-07T09:33:44.9620156Z Synchronizing submodule url for 'third_party/nlohmann' 2025-09-07T09:33:44.9646140Z Synchronizing submodule url for 'third_party/onnx' 2025-09-07T09:33:44.9684896Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-09-07T09:33:44.9711425Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-09-07T09:33:44.9736084Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:33:44.9760500Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:33:44.9781875Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:33:44.9806644Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:33:44.9830202Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:33:44.9855597Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:33:44.9878232Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:33:44.9899004Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:33:44.9923057Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:33:44.9946774Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:33:44.9989549Z Synchronizing submodule url for 'third_party/pocketfft' 2025-09-07T09:33:45.0013831Z Synchronizing submodule url for 'third_party/protobuf' 2025-09-07T09:33:45.0040044Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:33:45.0062953Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-09-07T09:33:45.0087945Z Synchronizing submodule url for 'third_party/psimd' 2025-09-07T09:33:45.0112317Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-09-07T09:33:45.0136919Z Synchronizing submodule url for 'third_party/pybind11' 2025-09-07T09:33:45.0161569Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-09-07T09:33:45.0186416Z Synchronizing submodule url for 'third_party/sleef' 2025-09-07T09:33:45.0211205Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-09-07T09:33:45.0234692Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:33:45.0257057Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:33:45.0278450Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:33:45.0301994Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:33:45.0322788Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:33:45.0361496Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T09:33:45.0766388Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T09:33:45.0890695Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T09:33:45.0988874Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T09:33:45.1209320Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T09:33:45.1699395Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T09:33:45.2039772Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T09:33:46.1329101Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T09:33:46.3346042Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T09:33:46.6529029Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T09:33:46.6738444Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T09:33:46.9882745Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T09:33:47.0445661Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T09:33:47.1633301Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T09:33:47.2076998Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T09:33:47.7855941Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T09:33:47.9159371Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T09:33:47.9737567Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T09:33:48.2438910Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T09:33:48.3638537Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T09:33:48.4807408Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T09:33:48.5159888Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:33:48.5294477Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T09:33:48.6289677Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T09:33:48.7029673Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T09:33:48.9479861Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T09:33:49.7046301Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T09:33:49.9185884Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T09:33:49.9467075Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T09:33:49.9850388Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T09:33:50.0066186Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T09:33:50.0412580Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T09:33:50.0552475Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T09:33:50.8189853Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T09:33:50.8406888Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T09:33:50.9258918Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T09:33:51.0663050Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T09:33:51.1914360Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T09:33:51.2077770Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T09:33:51.2382347Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T09:33:51.2525475Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T09:33:51.2632199Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T09:33:51.2794083Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T09:33:51.3136107Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T09:33:51.3985865Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T09:33:51.4148726Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T09:33:51.4429839Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T09:33:51.4777801Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T09:33:51.5205836Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T09:33:51.5707179Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T09:33:51.6825251Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T09:33:51.8958186Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T09:33:51.9281290Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T09:33:51.9901574Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T09:33:52.0350132Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T09:33:52.0687208Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T09:33:52.0816314Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T09:33:52.1816772Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T09:33:52.1968810Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T09:33:52.2111690Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T09:33:52.2254026Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T09:33:52.4953513Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T09:33:52.5305339Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T09:33:52.6123656Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T09:33:52.6250509Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T09:33:52.8690737Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T09:33:52.8836204Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T09:33:52.9226832Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T09:33:52.9330162Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T09:33:52.9477753Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T09:33:52.9670160Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T09:33:53.0096823Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T09:33:53.0566805Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T09:33:53.0789375Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T09:33:53.1465762Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T09:33:53.1618996Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T09:33:53.2117385Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T09:33:53.2353104Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T09:33:53.2451491Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-09-07T09:33:53.2498683Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-07T09:33:53.2781009Z Entering 'android/libs/fbjni' 2025-09-07T09:33:53.2825632Z Entering 'third_party/FP16' 2025-09-07T09:33:53.2869603Z Entering 'third_party/FXdiv' 2025-09-07T09:33:53.2913377Z Entering 'third_party/NNPACK' 2025-09-07T09:33:53.2957563Z Entering 'third_party/NVTX' 2025-09-07T09:33:53.3002600Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:33:53.3046909Z Entering 'third_party/XNNPACK' 2025-09-07T09:33:53.3106668Z Entering 'third_party/aiter' 2025-09-07T09:33:53.3151933Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:33:53.3205417Z Entering 'third_party/benchmark' 2025-09-07T09:33:53.3249592Z Entering 'third_party/composable_kernel' 2025-09-07T09:33:53.3301795Z Entering 'third_party/cpp-httplib' 2025-09-07T09:33:53.3346175Z Entering 'third_party/cpuinfo' 2025-09-07T09:33:53.3390769Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:33:53.3435568Z Entering 'third_party/cutlass' 2025-09-07T09:33:53.3489140Z Entering 'third_party/fbgemm' 2025-09-07T09:33:53.3536173Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:33:53.3579040Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:33:53.3627555Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:33:53.3669812Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:33:53.3720708Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:33:53.3763209Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:33:53.3804906Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:33:53.3851048Z Entering 'third_party/flash-attention' 2025-09-07T09:33:53.3896011Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:33:53.3944114Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:33:53.3996017Z Entering 'third_party/flatbuffers' 2025-09-07T09:33:53.4043151Z Entering 'third_party/fmt' 2025-09-07T09:33:53.4087792Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:33:53.4132846Z Entering 'third_party/gloo' 2025-09-07T09:33:53.4177295Z Entering 'third_party/googletest' 2025-09-07T09:33:53.4221970Z Entering 'third_party/ideep' 2025-09-07T09:33:53.4265405Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:33:53.4316074Z Entering 'third_party/ittapi' 2025-09-07T09:33:53.4364603Z Entering 'third_party/kineto' 2025-09-07T09:33:53.4407875Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:33:53.4456561Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:33:53.4499843Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:33:53.4542611Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:33:53.4584952Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:33:53.4626010Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:33:53.4671013Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:33:53.4714181Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:33:53.4756200Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:33:53.4800139Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:33:53.4844600Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:33:53.4887273Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:33:53.4931236Z Entering 'third_party/kleidiai' 2025-09-07T09:33:53.4976619Z Entering 'third_party/mimalloc' 2025-09-07T09:33:53.5020817Z Entering 'third_party/nlohmann' 2025-09-07T09:33:53.5067349Z Entering 'third_party/onnx' 2025-09-07T09:33:53.5126828Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:33:53.5175703Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:33:53.5220641Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:33:53.5263060Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:33:53.5304743Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:33:53.5345960Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:33:53.5388206Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:33:53.5429331Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:33:53.5470359Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:33:53.5510496Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:33:53.5554369Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:33:53.5598718Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:33:53.5659223Z Entering 'third_party/pocketfft' 2025-09-07T09:33:53.5702589Z Entering 'third_party/protobuf' 2025-09-07T09:33:53.5747996Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:33:53.5789890Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:33:53.5835289Z Entering 'third_party/psimd' 2025-09-07T09:33:53.5879340Z Entering 'third_party/pthreadpool' 2025-09-07T09:33:53.5923375Z Entering 'third_party/pybind11' 2025-09-07T09:33:53.5968020Z Entering 'third_party/python-peachpy' 2025-09-07T09:33:53.6012012Z Entering 'third_party/sleef' 2025-09-07T09:33:53.6056948Z Entering 'third_party/tensorpipe' 2025-09-07T09:33:53.6101050Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:33:53.6143247Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:33:53.6185312Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:33:53.6224848Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:33:53.6265247Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:33:53.6327799Z ##[endgroup] 2025-09-07T09:33:53.6328206Z ##[group]Persisting credentials for submodules 2025-09-07T09:33:53.6334458Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2025-09-07T09:33:53.6599475Z Entering 'android/libs/fbjni' 2025-09-07T09:33:53.6629415Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6629744Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6665380Z Entering 'third_party/FP16' 2025-09-07T09:33:53.6693433Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6693863Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6728584Z Entering 'third_party/FXdiv' 2025-09-07T09:33:53.6757743Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6758033Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6794413Z Entering 'third_party/NNPACK' 2025-09-07T09:33:53.6822586Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6822879Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6857556Z Entering 'third_party/NVTX' 2025-09-07T09:33:53.6885896Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6886197Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6921653Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:33:53.6950168Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6985352Z url.https://github.com/.insteadof 2025-09-07T09:33:53.6985639Z Entering 'third_party/XNNPACK' 2025-09-07T09:33:53.7013512Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7014082Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7063081Z Entering 'third_party/aiter' 2025-09-07T09:33:53.7092153Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7092428Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7127837Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:33:53.7156681Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7156981Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7202267Z Entering 'third_party/benchmark' 2025-09-07T09:33:53.7230936Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7231236Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7266927Z Entering 'third_party/composable_kernel' 2025-09-07T09:33:53.7295602Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7295892Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7338549Z Entering 'third_party/cpp-httplib' 2025-09-07T09:33:53.7367509Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7367827Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7403173Z Entering 'third_party/cpuinfo' 2025-09-07T09:33:53.7431671Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7431972Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7468018Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:33:53.7496601Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7496879Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7531857Z Entering 'third_party/cutlass' 2025-09-07T09:33:53.7560225Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7560510Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7603458Z Entering 'third_party/fbgemm' 2025-09-07T09:33:53.7632035Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7632340Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7669099Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:33:53.7697365Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7697636Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7732473Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:33:53.7759707Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7759984Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7801514Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:33:53.7828880Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7829207Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7863666Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:33:53.7890969Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7891255Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7934141Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:33:53.7961322Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7961620Z url.https://github.com/.insteadof 2025-09-07T09:33:53.7995707Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:33:53.8022882Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8023176Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8058941Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:33:53.8086243Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8086561Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8125295Z Entering 'third_party/flash-attention' 2025-09-07T09:33:53.8154156Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8156805Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8191339Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:33:53.8219814Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8220135Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8260502Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:33:53.8287640Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8288022Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8332068Z Entering 'third_party/flatbuffers' 2025-09-07T09:33:53.8361380Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8361704Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8399473Z Entering 'third_party/fmt' 2025-09-07T09:33:53.8427741Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8428084Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8463432Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:33:53.8492171Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8492494Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8528669Z Entering 'third_party/gloo' 2025-09-07T09:33:53.8556969Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8557328Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8592541Z Entering 'third_party/googletest' 2025-09-07T09:33:53.8625063Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8625382Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8660459Z Entering 'third_party/ideep' 2025-09-07T09:33:53.8689101Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8689493Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8723044Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:33:53.8750694Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8750991Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8793527Z Entering 'third_party/ittapi' 2025-09-07T09:33:53.8821976Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8822652Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8857043Z Entering 'third_party/kineto' 2025-09-07T09:33:53.8885271Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8885637Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8919729Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:33:53.8948226Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8948603Z url.https://github.com/.insteadof 2025-09-07T09:33:53.8982982Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:33:53.9011711Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9012026Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9048347Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:33:53.9075668Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9075961Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9111192Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:33:53.9138807Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9139176Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9174699Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:33:53.9201912Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9202216Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9235619Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:33:53.9264399Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9264731Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9305146Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:33:53.9332527Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9332850Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9368347Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:33:53.9395857Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9396162Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9431625Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:33:53.9467610Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9505409Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9505840Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:33:53.9532786Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9533084Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9570527Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:33:53.9597801Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9598396Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9632206Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:33:53.9658863Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9659171Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9696149Z Entering 'third_party/kleidiai' 2025-09-07T09:33:53.9724943Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9725237Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9761032Z Entering 'third_party/mimalloc' 2025-09-07T09:33:53.9789373Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9789665Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9825078Z Entering 'third_party/nlohmann' 2025-09-07T09:33:53.9853620Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9854050Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9890787Z Entering 'third_party/onnx' 2025-09-07T09:33:53.9919451Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9919759Z url.https://github.com/.insteadof 2025-09-07T09:33:53.9970077Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:33:53.9999871Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0000177Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0040180Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:33:54.0069293Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0069593Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0105606Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:33:54.0133900Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0134205Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0169084Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:33:54.0196159Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0196460Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0230913Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:33:54.0258152Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0258466Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0292465Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:33:54.0319644Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0319946Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0355484Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:33:54.0382268Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0416788Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0417192Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:33:54.0443841Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0479008Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0479422Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:33:54.0506514Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0506831Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0540245Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:33:54.0569323Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0569611Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0606872Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:33:54.0633954Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0634246Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0675029Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:33:54.0701709Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0702012Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0756686Z Entering 'third_party/pocketfft' 2025-09-07T09:33:54.0785617Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0785922Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0820933Z Entering 'third_party/protobuf' 2025-09-07T09:33:54.0849351Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0849644Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0886264Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:33:54.0914354Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0914678Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0948594Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:33:54.0975368Z url.https://github.com/.insteadof 2025-09-07T09:33:54.0975666Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1012632Z Entering 'third_party/psimd' 2025-09-07T09:33:54.1041125Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1041396Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1076244Z Entering 'third_party/pthreadpool' 2025-09-07T09:33:54.1104261Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1104541Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1140344Z Entering 'third_party/pybind11' 2025-09-07T09:33:54.1168547Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1168855Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1204138Z Entering 'third_party/python-peachpy' 2025-09-07T09:33:54.1232064Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1232365Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1267097Z Entering 'third_party/sleef' 2025-09-07T09:33:54.1294931Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1295227Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1329819Z Entering 'third_party/tensorpipe' 2025-09-07T09:33:54.1358141Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1358655Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1392435Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:33:54.1420671Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1420964Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1455251Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:33:54.1486529Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1486820Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1520549Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:33:54.1547021Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1547362Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1582191Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:33:54.1612558Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1612857Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1645375Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:33:54.1673194Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1673491Z url.https://github.com/.insteadof 2025-09-07T09:33:54.1736296Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T09:33:54.2007716Z Entering 'android/libs/fbjni' 2025-09-07T09:33:54.2050573Z file:/home/bob/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T09:33:54.2071927Z Entering 'third_party/FP16' 2025-09-07T09:33:54.2113336Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T09:33:54.2135499Z Entering 'third_party/FXdiv' 2025-09-07T09:33:54.2177342Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T09:33:54.2198799Z Entering 'third_party/NNPACK' 2025-09-07T09:33:54.2239898Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-09-07T09:33:54.2261343Z Entering 'third_party/NVTX' 2025-09-07T09:33:54.2302366Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-09-07T09:33:54.2324617Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:33:54.2367047Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-09-07T09:33:54.2388539Z Entering 'third_party/XNNPACK' 2025-09-07T09:33:54.2430342Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-09-07T09:33:54.2467354Z Entering 'third_party/aiter' 2025-09-07T09:33:54.2509865Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-09-07T09:33:54.2531312Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:33:54.2573356Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-09-07T09:33:54.2604114Z Entering 'third_party/benchmark' 2025-09-07T09:33:54.2645860Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:33:54.2668866Z Entering 'third_party/composable_kernel' 2025-09-07T09:33:54.2711701Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-09-07T09:33:54.2742658Z Entering 'third_party/cpp-httplib' 2025-09-07T09:33:54.2785316Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-09-07T09:33:54.2807028Z Entering 'third_party/cpuinfo' 2025-09-07T09:33:54.2849000Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-09-07T09:33:54.2871207Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:33:54.2912997Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-09-07T09:33:54.2935336Z Entering 'third_party/cutlass' 2025-09-07T09:33:54.2977160Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-07T09:33:54.3008160Z Entering 'third_party/fbgemm' 2025-09-07T09:33:54.3050680Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-09-07T09:33:54.3074225Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:33:54.3116134Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-09-07T09:33:54.3137540Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:33:54.3178102Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-09-07T09:33:54.3205163Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:33:54.3245727Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-09-07T09:33:54.3266499Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:33:54.3307543Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-09-07T09:33:54.3336449Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:33:54.3377248Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-09-07T09:33:54.3398018Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:33:54.3439308Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-09-07T09:33:54.3459789Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:33:54.3500700Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-09-07T09:33:54.3525618Z Entering 'third_party/flash-attention' 2025-09-07T09:33:54.3568225Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-09-07T09:33:54.3590136Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:33:54.3632114Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-09-07T09:33:54.3658563Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:33:54.3699273Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-09-07T09:33:54.3730200Z Entering 'third_party/flatbuffers' 2025-09-07T09:33:54.3772772Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-09-07T09:33:54.3797611Z Entering 'third_party/fmt' 2025-09-07T09:33:54.3840148Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-09-07T09:33:54.3863363Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:33:54.3906568Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-09-07T09:33:54.3928219Z Entering 'third_party/gloo' 2025-09-07T09:33:54.3969646Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-09-07T09:33:54.3991336Z Entering 'third_party/googletest' 2025-09-07T09:33:54.4033134Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:33:54.4055087Z Entering 'third_party/ideep' 2025-09-07T09:33:54.4097092Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-09-07T09:33:54.4117459Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:33:54.4159416Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-09-07T09:33:54.4188369Z Entering 'third_party/ittapi' 2025-09-07T09:33:54.4230808Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-09-07T09:33:54.4252571Z Entering 'third_party/kineto' 2025-09-07T09:33:54.4295101Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-09-07T09:33:54.4316143Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:33:54.4358753Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-09-07T09:33:54.4379645Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:33:54.4423494Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-09-07T09:33:54.4445872Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:33:54.4487694Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-09-07T09:33:54.4508468Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:33:54.4550063Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-09-07T09:33:54.4571088Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:33:54.4612441Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-09-07T09:33:54.4631681Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:33:54.4674463Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T09:33:54.4697835Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:33:54.4739869Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T09:33:54.4760505Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:33:54.4801686Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:33:54.4822620Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:33:54.4864576Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-09-07T09:33:54.4885884Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:33:54.4927364Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-09-07T09:33:54.4950925Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:33:54.5000492Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-09-07T09:33:54.5020798Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:33:54.5070247Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T09:33:54.5093235Z Entering 'third_party/kleidiai' 2025-09-07T09:33:54.5135542Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T09:33:54.5157333Z Entering 'third_party/mimalloc' 2025-09-07T09:33:54.5198202Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T09:33:54.5220379Z Entering 'third_party/nlohmann' 2025-09-07T09:33:54.5261633Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T09:33:54.5284791Z Entering 'third_party/onnx' 2025-09-07T09:33:54.5325785Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T09:33:54.5363453Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:33:54.5405949Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:33:54.5431515Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:33:54.5476399Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T09:33:54.5499213Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:33:54.5541041Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:33:54.5561169Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:33:54.5600413Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:33:54.5620367Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:33:54.5662861Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T09:33:54.5683479Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:33:54.5724221Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T09:33:54.5745534Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:33:54.5785796Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T09:33:54.5805610Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:33:54.6235999Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T09:33:54.6256805Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:33:54.6297642Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T09:33:54.6316478Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:33:54.6359336Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T09:33:54.6381176Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:33:54.6422029Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T09:33:54.6445397Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:33:54.6486268Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T09:33:54.6527660Z Entering 'third_party/pocketfft' 2025-09-07T09:33:54.6570780Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T09:33:54.6591993Z Entering 'third_party/protobuf' 2025-09-07T09:33:54.6633254Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T09:33:54.6657031Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:33:54.6700196Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T09:33:54.6720162Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:33:54.6759765Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:33:54.6783310Z Entering 'third_party/psimd' 2025-09-07T09:33:54.6825158Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T09:33:54.6846172Z Entering 'third_party/pthreadpool' 2025-09-07T09:33:54.6887675Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T09:33:54.6908911Z Entering 'third_party/pybind11' 2025-09-07T09:33:54.6957548Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:33:54.6979453Z Entering 'third_party/python-peachpy' 2025-09-07T09:33:54.7021177Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T09:33:54.7042597Z Entering 'third_party/sleef' 2025-09-07T09:33:54.7084047Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T09:33:54.7105867Z Entering 'third_party/tensorpipe' 2025-09-07T09:33:54.7147230Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T09:33:54.7167674Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:33:54.7209633Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T09:33:54.7229636Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:33:54.7269295Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T09:33:54.7289085Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:33:54.7329168Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T09:33:54.7349617Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:33:54.7389674Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T09:33:54.7408458Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:33:54.7451065Z file:/home/bob/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T09:33:54.7734358Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T09:33:54.8005977Z Entering 'android/libs/fbjni' 2025-09-07T09:33:54.8050221Z Entering 'third_party/FP16' 2025-09-07T09:33:54.8094278Z Entering 'third_party/FXdiv' 2025-09-07T09:33:54.8138343Z Entering 'third_party/NNPACK' 2025-09-07T09:33:54.8183180Z Entering 'third_party/NVTX' 2025-09-07T09:33:54.8228766Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:33:54.8272986Z Entering 'third_party/XNNPACK' 2025-09-07T09:33:54.8335412Z Entering 'third_party/aiter' 2025-09-07T09:33:54.8380463Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:33:54.8432708Z Entering 'third_party/benchmark' 2025-09-07T09:33:54.8478756Z Entering 'third_party/composable_kernel' 2025-09-07T09:33:54.8530874Z Entering 'third_party/cpp-httplib' 2025-09-07T09:33:54.8575156Z Entering 'third_party/cpuinfo' 2025-09-07T09:33:54.8619896Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:33:54.8664869Z Entering 'third_party/cutlass' 2025-09-07T09:33:54.8717591Z Entering 'third_party/fbgemm' 2025-09-07T09:33:54.8762471Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:33:54.8804932Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:33:54.8853336Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:33:54.8895616Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:33:54.8945580Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:33:54.8987873Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:33:54.9028937Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:33:54.9074791Z Entering 'third_party/flash-attention' 2025-09-07T09:33:54.9118996Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:33:54.9166305Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:33:54.9218261Z Entering 'third_party/flatbuffers' 2025-09-07T09:33:54.9265288Z Entering 'third_party/fmt' 2025-09-07T09:33:54.9310266Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:33:54.9354737Z Entering 'third_party/gloo' 2025-09-07T09:33:54.9399090Z Entering 'third_party/googletest' 2025-09-07T09:33:54.9443610Z Entering 'third_party/ideep' 2025-09-07T09:33:54.9486895Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:33:54.9537499Z Entering 'third_party/ittapi' 2025-09-07T09:33:54.9581766Z Entering 'third_party/kineto' 2025-09-07T09:33:54.9625812Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:33:54.9668396Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:33:54.9712470Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:33:54.9755051Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:33:54.9797708Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:33:54.9839209Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:33:54.9887622Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:33:54.9932181Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:33:54.9974743Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:33:55.0017966Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:33:55.0063092Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:33:55.0104959Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:33:55.0149789Z Entering 'third_party/kleidiai' 2025-09-07T09:33:55.0194609Z Entering 'third_party/mimalloc' 2025-09-07T09:33:55.0239216Z Entering 'third_party/nlohmann' 2025-09-07T09:33:55.0284842Z Entering 'third_party/onnx' 2025-09-07T09:33:55.0342664Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:33:55.0390974Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:33:55.0436844Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:33:55.0478976Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:33:55.0520684Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:33:55.0561859Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:33:55.0604922Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:33:55.0646660Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:33:55.0688044Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:33:55.0729382Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:33:55.0773162Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:33:55.0817674Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:33:55.0882212Z Entering 'third_party/pocketfft' 2025-09-07T09:33:55.0927234Z Entering 'third_party/protobuf' 2025-09-07T09:33:55.0973214Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:33:55.1015279Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:33:55.1060509Z Entering 'third_party/psimd' 2025-09-07T09:33:55.1104607Z Entering 'third_party/pthreadpool' 2025-09-07T09:33:55.1148403Z Entering 'third_party/pybind11' 2025-09-07T09:33:55.1192621Z Entering 'third_party/python-peachpy' 2025-09-07T09:33:55.1236328Z Entering 'third_party/sleef' 2025-09-07T09:33:55.1280222Z Entering 'third_party/tensorpipe' 2025-09-07T09:33:55.1324028Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:33:55.1366069Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:33:55.1407495Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:33:55.1449084Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:33:55.1489285Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:33:55.1555374Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T09:33:55.1822608Z Entering 'android/libs/fbjni' 2025-09-07T09:33:55.1866404Z Entering 'third_party/FP16' 2025-09-07T09:33:55.1910130Z Entering 'third_party/FXdiv' 2025-09-07T09:33:55.1954009Z Entering 'third_party/NNPACK' 2025-09-07T09:33:55.1998002Z Entering 'third_party/NVTX' 2025-09-07T09:33:55.2042616Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:33:55.2086906Z Entering 'third_party/XNNPACK' 2025-09-07T09:33:55.2145931Z Entering 'third_party/aiter' 2025-09-07T09:33:55.2190985Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:33:55.2242951Z Entering 'third_party/benchmark' 2025-09-07T09:33:55.2286553Z Entering 'third_party/composable_kernel' 2025-09-07T09:33:55.2338491Z Entering 'third_party/cpp-httplib' 2025-09-07T09:33:55.2382965Z Entering 'third_party/cpuinfo' 2025-09-07T09:33:55.2427695Z Entering 'third_party/cudnn_frontend' 2025-09-07T09:33:55.2472800Z Entering 'third_party/cutlass' 2025-09-07T09:33:55.2525166Z Entering 'third_party/fbgemm' 2025-09-07T09:33:55.2570785Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T09:33:55.2612322Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T09:33:55.2660106Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:33:55.2701735Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:33:55.2751154Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:33:55.2792215Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:33:55.2833303Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:33:55.2879491Z Entering 'third_party/flash-attention' 2025-09-07T09:33:55.2923263Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T09:33:55.2971012Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T09:33:55.3022764Z Entering 'third_party/flatbuffers' 2025-09-07T09:33:55.3069590Z Entering 'third_party/fmt' 2025-09-07T09:33:55.3113968Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T09:33:55.3160028Z Entering 'third_party/gloo' 2025-09-07T09:33:55.3204895Z Entering 'third_party/googletest' 2025-09-07T09:33:55.3248870Z Entering 'third_party/ideep' 2025-09-07T09:33:55.3291484Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:33:55.3341410Z Entering 'third_party/ittapi' 2025-09-07T09:33:55.3386355Z Entering 'third_party/kineto' 2025-09-07T09:33:55.3429609Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:33:55.3471269Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:33:55.3514805Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:33:55.3557250Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:33:55.3605459Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:33:55.3646332Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:33:55.3691841Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:33:55.3734194Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:33:55.3776388Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:33:55.3819572Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:33:55.3864841Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:33:55.3906263Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:33:55.3949220Z Entering 'third_party/kleidiai' 2025-09-07T09:33:55.3993439Z Entering 'third_party/mimalloc' 2025-09-07T09:33:55.4037056Z Entering 'third_party/nlohmann' 2025-09-07T09:33:55.4082267Z Entering 'third_party/onnx' 2025-09-07T09:33:55.4141245Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:33:55.4189138Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:33:55.4234112Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:33:55.4275579Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:33:55.4316935Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:33:55.4359138Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:33:55.4401875Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:33:55.4443542Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:33:55.4485402Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:33:55.4526364Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:33:55.4570526Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:33:55.4616337Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:33:55.4678314Z Entering 'third_party/pocketfft' 2025-09-07T09:33:55.5052005Z Entering 'third_party/protobuf' 2025-09-07T09:33:55.5099824Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:33:55.5142462Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:33:55.5187886Z Entering 'third_party/psimd' 2025-09-07T09:33:55.5232719Z Entering 'third_party/pthreadpool' 2025-09-07T09:33:55.5276903Z Entering 'third_party/pybind11' 2025-09-07T09:33:55.5321469Z Entering 'third_party/python-peachpy' 2025-09-07T09:33:55.5365224Z Entering 'third_party/sleef' 2025-09-07T09:33:55.5409567Z Entering 'third_party/tensorpipe' 2025-09-07T09:33:55.5453458Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:33:55.5495256Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:33:55.5536652Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:33:55.5578424Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:33:55.5618933Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:33:55.5681455Z ##[endgroup] 2025-09-07T09:33:55.5724560Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T09:33:55.5751544Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:33:55.5906956Z Prepare all required actions 2025-09-07T09:33:55.5907472Z Getting action download info 2025-09-07T09:33:55.7687303Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T09:33:55.7687554Z env: 2025-09-07T09:33:55.7687739Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:55.7687928Z ##[endgroup] 2025-09-07T09:33:55.7739514Z ##[group]Run set -euo pipefail 2025-09-07T09:33:55.7739801Z set -euo pipefail 2025-09-07T09:33:55.7740037Z function get_ec2_metadata() { 2025-09-07T09:33:55.7740313Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T09:33:55.7740772Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T09:33:55.7741176Z  category=$1 2025-09-07T09:33:55.7741442Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T09:33:55.7741756Z  runner_name_str=i-05a095f6e498981b2-1002 2025-09-07T09:33:55.7742054Z  if [[ -f /.inarc ]]; then 2025-09-07T09:33:55.7742311Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T09:33:55.7742584Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T09:33:55.7742916Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T09:33:55.7743487Z  else 2025-09-07T09:33:55.7744305Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T09:33:55.7744979Z  fi 2025-09-07T09:33:55.7745139Z } 2025-09-07T09:33:55.7745341Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T09:33:55.7745665Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T09:33:55.7746011Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T09:33:55.7746317Z echo "system info $(uname -a)" 2025-09-07T09:33:55.7762568Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:55.7762876Z env: 2025-09-07T09:33:55.7763047Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:55.7763241Z ##[endgroup] 2025-09-07T09:33:55.7805383Z ami-id: ARC Runner, no info on ec2 metadata 2025-09-07T09:33:55.7811231Z instance-id: ARC Runner, no info on ec2 metadata 2025-09-07T09:33:55.7817242Z instance-type: ARC Runner, no info on ec2 metadata 2025-09-07T09:33:55.7828490Z system info Linux 3e2f3ea7459d 6.8.0-1031-aws #33-Ubuntu SMP Fri Jun 20 18:11:07 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T09:33:55.7851138Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:33:55.7851851Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:33:55.7868442Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:55.7868744Z env: 2025-09-07T09:33:55.7868916Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:55.7869109Z ##[endgroup] 2025-09-07T09:33:55.7948972Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:33:55.7949239Z with: 2025-09-07T09:33:55.7949397Z shell: bash 2025-09-07T09:33:55.7949589Z timeout_minutes: 5 2025-09-07T09:33:55.7949773Z max_attempts: 3 2025-09-07T09:33:55.7949965Z retry_wait_seconds: 30 2025-09-07T09:33:55.7951870Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T09:33:55.7953553Z polling_interval_seconds: 1 2025-09-07T09:33:55.7953966Z warning_on_retry: true 2025-09-07T09:33:55.7954162Z continue_on_error: false 2025-09-07T09:33:55.7954375Z env: 2025-09-07T09:33:55.7954552Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:55.7954758Z AWS_RETRY_MODE: standard 2025-09-07T09:33:55.7954951Z AWS_MAX_ATTEMPTS: 5 2025-09-07T09:33:55.7955152Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T09:33:55.7955370Z ##[endgroup] 2025-09-07T09:33:57.3560193Z 2025-09-07T09:33:57.3560824Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T09:33:57.3561334Z Configure a credential helper to remove this warning. See 2025-09-07T09:33:57.3561701Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:33:57.3561909Z 2025-09-07T09:33:57.3562008Z Login Succeeded 2025-09-07T09:33:57.8700567Z Command completed after 1 attempt(s). 2025-09-07T09:33:57.8773433Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:33:57.8774094Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:33:57.8774462Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:33:57.8791254Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:57.8791556Z env: 2025-09-07T09:33:57.8791726Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:57.8791925Z ##[endgroup] 2025-09-07T09:33:57.8884952Z ##[group]Run set +e 2025-09-07T09:33:57.8885161Z set +e 2025-09-07T09:33:57.8885329Z set -x 2025-09-07T09:33:57.8885482Z  2025-09-07T09:33:57.8885675Z PT_DOMAIN=download.pytorch.org 2025-09-07T09:33:57.8886104Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T09:33:57.8886645Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T09:33:57.8887028Z # one is returned at random 2025-09-07T09:33:57.8887312Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T09:33:57.8887578Z  2025-09-07T09:33:57.8887746Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T09:33:57.8888059Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T09:33:57.8888426Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T09:33:57.8888700Z  2025-09-07T09:33:57.8888869Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T09:33:57.8889147Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T09:33:57.8889398Z  exit 1 2025-09-07T09:33:57.8889565Z  fi 2025-09-07T09:33:57.8889719Z fi 2025-09-07T09:33:57.8889868Z  2025-09-07T09:33:57.8890044Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T09:33:57.8890308Z  # Clean up any old records first 2025-09-07T09:33:57.8890573Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T09:33:57.8890803Z fi 2025-09-07T09:33:57.8890945Z  2025-09-07T09:33:57.8891181Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T09:33:57.8891470Z cat /etc/hosts 2025-09-07T09:33:57.8907060Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:57.8907348Z env: 2025-09-07T09:33:57.8907511Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:57.8907706Z ##[endgroup] 2025-09-07T09:33:57.8939557Z + PT_DOMAIN=download.pytorch.org 2025-09-07T09:33:57.8945906Z ++ dig -4 +short download.pytorch.org 2025-09-07T09:33:57.8947496Z ++ tail -n1 2025-09-07T09:33:57.9670015Z + RESOLVED_IP=3.170.131.53 2025-09-07T09:33:57.9670316Z + '[' -z 3.170.131.53 ']' 2025-09-07T09:33:57.9670611Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T09:33:57.9685043Z + echo '3.170.131.53 download.pytorch.org' 2025-09-07T09:33:57.9686473Z + sudo tee -a /etc/hosts 2025-09-07T09:33:57.9750016Z 3.170.131.53 download.pytorch.org 2025-09-07T09:33:57.9758905Z + cat /etc/hosts 2025-09-07T09:33:57.9767475Z 127.0.0.1 localhost 2025-09-07T09:33:57.9771152Z ::1 localhost ip6-localhost ip6-loopback 2025-09-07T09:33:57.9771493Z fe00:: ip6-localnet 2025-09-07T09:33:57.9771705Z ff00:: ip6-mcastprefix 2025-09-07T09:33:57.9771925Z ff02::1 ip6-allnodes 2025-09-07T09:33:57.9772129Z ff02::2 ip6-allrouters 2025-09-07T09:33:57.9772334Z 172.17.0.2 3e2f3ea7459d 2025-09-07T09:33:57.9772577Z 3.170.131.53 download.pytorch.org 2025-09-07T09:33:57.9790314Z ##[group]Run set +x 2025-09-07T09:33:57.9790518Z set +x 2025-09-07T09:33:57.9790678Z  2025-09-07T09:33:57.9790847Z max_attempts=30 2025-09-07T09:33:57.9791038Z delay=10 2025-09-07T09:33:57.9791206Z attempt=1 2025-09-07T09:33:57.9791371Z  2025-09-07T09:33:57.9791552Z for attempt in $(seq 1 $max_attempts); do 2025-09-07T09:33:57.9791934Z  echo "Attempt $attempt of $max_attempts: Checking if Docker daemon is running..." 2025-09-07T09:33:57.9792298Z  if docker info > /dev/null 2>&1; then 2025-09-07T09:33:57.9792607Z  echo "Docker is running. Proceeding with the next steps" 2025-09-07T09:33:57.9793101Z  exit 0 2025-09-07T09:33:57.9793265Z  else 2025-09-07T09:33:57.9793450Z  echo "Docker is not running yet." 2025-09-07T09:33:57.9793878Z  echo "Retrying in $delay seconds..." 2025-09-07T09:33:57.9794120Z  sleep $delay 2025-09-07T09:33:57.9794295Z  fi 2025-09-07T09:33:57.9794448Z done 2025-09-07T09:33:57.9794693Z echo "Reached maximum attempts to connect to Docker. Exiting." 2025-09-07T09:33:57.9795001Z exit 1 2025-09-07T09:33:57.9809617Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:57.9809899Z env: 2025-09-07T09:33:57.9810069Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:57.9810274Z ##[endgroup] 2025-09-07T09:33:57.9855129Z Attempt 1 of 30: Checking if Docker daemon is running... 2025-09-07T09:33:58.0297796Z Docker is running. Proceeding with the next steps 2025-09-07T09:33:58.0420821Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T09:33:58.0421229Z with: 2025-09-07T09:33:58.0422057Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:58.0422790Z use-custom-docker-registry: true 2025-09-07T09:33:58.0423012Z docker-build-dir: .ci/docker 2025-09-07T09:33:58.0423231Z docker-build-script: ./build.sh 2025-09-07T09:33:58.0423444Z working-directory: . 2025-09-07T09:33:58.0423695Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:58.0424154Z force-push: false 2025-09-07T09:33:58.0424322Z env: 2025-09-07T09:33:58.0424476Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:58.0424666Z ##[endgroup] 2025-09-07T09:33:58.0440454Z ##[group]Run set -ex 2025-09-07T09:33:58.0440689Z set -ex 2025-09-07T09:33:58.0440844Z  2025-09-07T09:33:58.0441172Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T09:33:58.0441652Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T09:33:58.0442050Z # job could then download the pre-built image as usual 2025-09-07T09:33:58.0442542Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T09:33:58.0442995Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0443232Z else 2025-09-07T09:33:58.0443444Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0443926Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0444234Z  2025-09-07T09:33:58.0444637Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T09:33:58.0445089Z  exit 0 2025-09-07T09:33:58.0445261Z fi 2025-09-07T09:33:58.0445407Z  2025-09-07T09:33:58.0445742Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T09:33:58.0446170Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T09:33:58.0446555Z  # use it as it is, but first let's extract the tag 2025-09-07T09:33:58.0446893Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T09:33:58.0447267Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0447618Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0447902Z else 2025-09-07T09:33:58.0448091Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T09:33:58.0448387Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T09:33:58.0448668Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T09:33:58.0449116Z  fi 2025-09-07T09:33:58.0449445Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T09:33:58.0449872Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0450325Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0450841Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0451146Z fi 2025-09-07T09:33:58.0467098Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:58.0467388Z env: 2025-09-07T09:33:58.0467546Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:58.0467749Z REPO_NAME: pytorch 2025-09-07T09:33:58.0468661Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:58.0469402Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T09:33:58.0469623Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T09:33:58.0469901Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:58.0470193Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T09:33:58.0470407Z CUSTOM_TAG_PREFIX: 2025-09-07T09:33:58.0470591Z ##[endgroup] 2025-09-07T09:33:58.0534068Z + [[ -d .ci/docker ]] 2025-09-07T09:33:58.0534351Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T09:33:58.0534621Z + [[ true == \t\r\u\e ]] 2025-09-07T09:33:58.0534864Z + echo skip=false 2025-09-07T09:33:58.0535934Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T09:33:58.0541902Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:58.0543022Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T09:33:58.0558711Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:58.0559715Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:58.0561224Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:58.0584815Z ##[group]Run set +e 2025-09-07T09:33:58.0585051Z set +e 2025-09-07T09:33:58.0585218Z set -x 2025-09-07T09:33:58.0585379Z  2025-09-07T09:33:58.0585544Z login() { 2025-09-07T09:33:58.0585912Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T09:33:58.0586299Z } 2025-09-07T09:33:58.0586449Z  2025-09-07T09:33:58.0586599Z retry () { 2025-09-07T09:33:58.0586788Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T09:33:58.0587014Z } 2025-09-07T09:33:58.0587161Z  2025-09-07T09:33:58.0587342Z retry login "${DOCKER_REGISTRY}" 2025-09-07T09:33:58.0587553Z  2025-09-07T09:33:58.0587708Z START_TIME=$(date +%s) 2025-09-07T09:33:58.0587921Z # Wait up to 120 minutes 2025-09-07T09:33:58.0588182Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T09:33:58.0588526Z  # Check if image already exists, if it does then skip building it 2025-09-07T09:33:58.0588901Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T09:33:58.0589261Z  exit 0 2025-09-07T09:33:58.0589430Z  fi 2025-09-07T09:33:58.0589585Z  2025-09-07T09:33:58.0589872Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T09:33:58.0590596Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T09:33:58.0591063Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T09:33:58.0591435Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T09:33:58.0591719Z  # It's a Docker build job, let's build the image 2025-09-07T09:33:58.0591971Z  break 2025-09-07T09:33:58.0592141Z  else 2025-09-07T09:33:58.0592387Z  # It's a regular build job, wait for the image to become available 2025-09-07T09:33:58.0592677Z  sleep 300 2025-09-07T09:33:58.0592866Z  fi 2025-09-07T09:33:58.0593026Z done 2025-09-07T09:33:58.0593180Z  2025-09-07T09:33:58.0593628Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T09:33:58.0594217Z # be empty. The default action would be to continue rebuild the image 2025-09-07T09:33:58.0594588Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T09:33:58.0594911Z  # if we're on the base branch then use the parent commit 2025-09-07T09:33:58.0595201Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T09:33:58.0595418Z else 2025-09-07T09:33:58.0595655Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T09:33:58.0595989Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T09:33:58.0596258Z fi 2025-09-07T09:33:58.0596404Z  2025-09-07T09:33:58.0596574Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T09:33:58.0596831Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0597064Z  2025-09-07T09:33:58.0597477Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T09:33:58.0597856Z  exit 0 2025-09-07T09:33:58.0598018Z fi 2025-09-07T09:33:58.0598169Z  2025-09-07T09:33:58.0598386Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T09:33:58.0598862Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T09:33:58.0599272Z  exit 1 2025-09-07T09:33:58.0599430Z fi 2025-09-07T09:33:58.0599576Z  2025-09-07T09:33:58.0599829Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T09:33:58.0600294Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T09:33:58.0600717Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T09:33:58.0601201Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T09:33:58.0601749Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T09:33:58.0602067Z fi 2025-09-07T09:33:58.0602209Z  2025-09-07T09:33:58.0602399Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T09:33:58.0617292Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:58.0617598Z env: 2025-09-07T09:33:58.0617760Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:58.0617963Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T09:33:58.0618217Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:33:58.0618996Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:58.0620006Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:58.0620818Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:58.0621110Z DOCKER_PUSH: 2025-09-07T09:33:58.0621284Z ##[endgroup] 2025-09-07T09:33:58.0653510Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:58.0654002Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:58.0656914Z + aws ecr get-login-password --region us-east-1 2025-09-07T09:33:58.0657782Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:58.8721463Z 2025-09-07T09:33:58.8722012Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T09:33:58.8722517Z Configure a credential helper to remove this warning. See 2025-09-07T09:33:58.8722885Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:33:58.8723096Z 2025-09-07T09:33:58.8723172Z Login Succeeded 2025-09-07T09:33:58.8745513Z ++ date +%s 2025-09-07T09:33:58.8756523Z + START_TIME=1757237638 2025-09-07T09:33:58.8760572Z ++ date +%s 2025-09-07T09:33:58.8772240Z + [[ 1757230438 -lt 1757237638 ]] 2025-09-07T09:33:58.8773127Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:59.2944989Z { 2025-09-07T09:33:59.2945235Z "schemaVersion": 2, 2025-09-07T09:33:59.2945633Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T09:33:59.2946035Z "config": { 2025-09-07T09:33:59.2946375Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T09:33:59.2946744Z "size": 31375, 2025-09-07T09:33:59.2947118Z "digest": 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"sha256:c988fbcccd708fb158a81c429d32e1060a7e40924fc3c987c629fa69d9484717" 2025-09-07T09:33:59.3048070Z }, 2025-09-07T09:33:59.3048202Z { 2025-09-07T09:33:59.3048435Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T09:33:59.3048723Z "size": 32, 2025-09-07T09:33:59.3049011Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T09:33:59.3049337Z } 2025-09-07T09:33:59.3049462Z ] 2025-09-07T09:33:59.3049599Z } 2025-09-07T09:33:59.3049753Z + exit 0 2025-09-07T09:33:59.3072256Z ##[group]Run set -eux 2025-09-07T09:33:59.3072468Z set -eux 2025-09-07T09:33:59.3072773Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T09:33:59.3073620Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T09:33:59.3091256Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:59.3091549Z env: 2025-09-07T09:33:59.3091719Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:59.3091914Z ##[endgroup] 2025-09-07T09:33:59.3128389Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T09:33:59.3128927Z + jq --raw-output .SecretString 2025-09-07T09:33:59.3130313Z + jq -r .docker_hub_readonly_token 2025-09-07T09:33:59.3131725Z + docker login --username pytorchbot --password-stdin 2025-09-07T09:33:59.8906002Z 2025-09-07T09:33:59.8907411Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gh-ci-github-action-runners-runner-role/i-05a095f6e498981b2 is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-09-07T09:33:59.9642518Z Error: Cannot perform an interactive login from a non TTY device 2025-09-07T09:33:59.9658856Z + true 2025-09-07T09:33:59.9728774Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T09:33:59.9729102Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T09:33:59.9729398Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T09:33:59.9745320Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:59.9745607Z env: 2025-09-07T09:33:59.9745769Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:59.9746454Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:59.9747173Z ##[endgroup] 2025-09-07T09:33:59.9782832Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:59.9824259Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T09:33:59.9824609Z with: 2025-09-07T09:33:59.9825270Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:59.9826047Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:59.9826350Z env: 2025-09-07T09:33:59.9826517Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:59.9826711Z ##[endgroup] 2025-09-07T09:33:59.9839571Z ##[group]Run set -x 2025-09-07T09:33:59.9839800Z set -x 2025-09-07T09:33:59.9839970Z set +e 2025-09-07T09:33:59.9840129Z  2025-09-07T09:33:59.9840289Z login() { 2025-09-07T09:33:59.9840636Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T09:33:59.9841070Z } 2025-09-07T09:33:59.9841237Z  2025-09-07T09:33:59.9841422Z retry () { 2025-09-07T09:33:59.9841622Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T09:33:59.9841845Z } 2025-09-07T09:33:59.9841998Z  2025-09-07T09:33:59.9842183Z retry login "${DOCKER_REGISTRY}" 2025-09-07T09:33:59.9842413Z  2025-09-07T09:33:59.9842762Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T09:33:59.9843250Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T09:33:59.9843520Z  2025-09-07T09:33:59.9843682Z set -e 2025-09-07T09:33:59.9844107Z # ignore output since only exit code is used for conditional 2025-09-07T09:33:59.9844452Z # only pull docker image if it's not available locally 2025-09-07T09:33:59.9844839Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T09:33:59.9845196Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T09:33:59.9845420Z fi 2025-09-07T09:33:59.9861753Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:33:59.9862047Z env: 2025-09-07T09:33:59.9862223Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:33:59.9862899Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:33:59.9863684Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:59.9864113Z ##[endgroup] 2025-09-07T09:33:59.9893587Z + set +e 2025-09-07T09:33:59.9894017Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:59.9894359Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:33:59.9897726Z + aws ecr get-login-password --region us-east-1 2025-09-07T09:33:59.9899305Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T09:34:00.7789139Z 2025-09-07T09:34:00.7789530Z Login Succeeded 2025-09-07T09:34:00.7789997Z WARNING! Your credentials are stored unencrypted in '/home/bob/.docker/config.json'. 2025-09-07T09:34:00.7790526Z Configure a credential helper to remove this warning. See 2025-09-07T09:34:00.7790949Z https://docs.docker.com/go/credential-store/ 2025-09-07T09:34:00.7791194Z 2025-09-07T09:34:00.7817465Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:34:00.7818843Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T09:34:01.1995996Z + IMAGE_SIZE=36183.606596946716 2025-09-07T09:34:01.1996353Z + echo 'Compressed size of image in MB: 36183.606596946716' 2025-09-07T09:34:01.1996682Z + set -e 2025-09-07T09:34:01.1997947Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:34:01.1998868Z Compressed size of image in MB: 36183.606596946716 2025-09-07T09:34:01.2123530Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:34:01.6345276Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:34:01.6346568Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T09:34:01.6347211Z e6fdc8487bfe: Pulling fs layer 2025-09-07T09:34:01.6347440Z 171dcef20c49: Pulling fs layer 2025-09-07T09:34:01.6347651Z 4c92b3f72f1d: Pulling fs layer 2025-09-07T09:34:01.6347858Z 744f9ba90a65: Pulling fs layer 2025-09-07T09:34:01.6348074Z d3c08322a332: Pulling fs layer 2025-09-07T09:34:01.6348288Z ffd43b71f3cc: Pulling fs layer 2025-09-07T09:34:01.6348497Z 830692b57f6e: Pulling fs layer 2025-09-07T09:34:01.6348702Z 5bad36d18468: Pulling fs layer 2025-09-07T09:34:01.6348912Z 0e34fdd9ac5c: Pulling fs layer 2025-09-07T09:34:01.6349120Z 3c868a62868e: Pulling fs layer 2025-09-07T09:34:01.6349366Z 744f9ba90a65: Waiting 2025-09-07T09:34:01.6349558Z 62170a22dd57: Pulling fs layer 2025-09-07T09:34:01.6349760Z 830692b57f6e: Waiting 2025-09-07T09:34:01.6349935Z 553c1d23b6c4: Pulling fs layer 2025-09-07T09:34:01.6350144Z 9408d557a804: Pulling fs layer 2025-09-07T09:34:01.6350345Z 0e34fdd9ac5c: Waiting 2025-09-07T09:34:01.6350530Z df607cfc7c07: Pulling fs layer 2025-09-07T09:34:01.6350731Z ffd43b71f3cc: Waiting 2025-09-07T09:34:01.6350905Z d3c08322a332: Waiting 2025-09-07T09:34:01.6351075Z 3c868a62868e: Waiting 2025-09-07T09:34:01.6351254Z 4f4fb700ef54: Pulling fs layer 2025-09-07T09:34:01.6351444Z 553c1d23b6c4: Waiting 2025-09-07T09:34:01.6351619Z 5bad36d18468: Waiting 2025-09-07T09:34:01.6351814Z 40a8e39faeda: Pulling fs layer 2025-09-07T09:34:01.6352010Z 9408d557a804: Waiting 2025-09-07T09:34:01.6352181Z d895771c9fac: Pulling fs layer 2025-09-07T09:34:01.6352380Z df607cfc7c07: Waiting 2025-09-07T09:34:01.6352553Z 62170a22dd57: Waiting 2025-09-07T09:34:01.6352722Z 4f4fb700ef54: Waiting 2025-09-07T09:34:01.6352906Z c4ee04f39d49: Pulling fs layer 2025-09-07T09:34:01.6353105Z 40a8e39faeda: Waiting 2025-09-07T09:34:01.6353292Z 3690c9826e48: Pulling fs layer 2025-09-07T09:34:01.6353489Z d895771c9fac: Waiting 2025-09-07T09:34:01.6353655Z c4ee04f39d49: Waiting 2025-09-07T09:34:01.6354087Z 57cbc5013733: Pulling fs layer 2025-09-07T09:34:01.6354283Z 3690c9826e48: Waiting 2025-09-07T09:34:01.6354464Z f5f4b06b58bb: Pulling fs layer 2025-09-07T09:34:01.6354664Z f59713ce4bf4: Pulling fs layer 2025-09-07T09:34:01.6354862Z 57cbc5013733: Waiting 2025-09-07T09:34:01.6355042Z fe0486521517: Pulling fs layer 2025-09-07T09:34:01.6355246Z 8c21cc3715a2: Pulling fs layer 2025-09-07T09:34:01.6355442Z f5f4b06b58bb: Waiting 2025-09-07T09:34:01.6355615Z f59713ce4bf4: Waiting 2025-09-07T09:34:01.6355799Z d37c58456a6a: Pulling fs layer 2025-09-07T09:34:01.6355996Z d042f63abc13: Pulling fs layer 2025-09-07T09:34:01.6356192Z fe0486521517: Waiting 2025-09-07T09:34:01.6356359Z 8c21cc3715a2: Waiting 2025-09-07T09:34:01.6356537Z 621284a9c05a: Pulling fs layer 2025-09-07T09:34:01.6356725Z d37c58456a6a: Waiting 2025-09-07T09:34:01.6356895Z d042f63abc13: Waiting 2025-09-07T09:34:01.6357715Z 85f605d2dd3a: Pulling fs layer 2025-09-07T09:34:01.6357915Z 621284a9c05a: Waiting 2025-09-07T09:34:01.6358086Z 381b5539e598: Pulling fs layer 2025-09-07T09:34:01.6358292Z 85f605d2dd3a: Waiting 2025-09-07T09:34:01.6358470Z a487c0c80029: Pulling fs layer 2025-09-07T09:34:01.6358676Z 48bcb81e2566: Pulling fs layer 2025-09-07T09:34:01.6358865Z a487c0c80029: Waiting 2025-09-07T09:34:01.6359033Z 381b5539e598: Waiting 2025-09-07T09:34:01.6359201Z 48bcb81e2566: Waiting 2025-09-07T09:34:01.6359377Z e261928c0043: Pulling fs layer 2025-09-07T09:34:01.6359771Z 0fea55428091: Pulling fs layer 2025-09-07T09:34:01.6359991Z b4291bccbb84: Pulling fs layer 2025-09-07T09:34:01.6360188Z e261928c0043: Waiting 2025-09-07T09:34:01.6360366Z ddc91b09189a: Pulling fs layer 2025-09-07T09:34:01.6360562Z 7540c7428627: Pulling fs layer 2025-09-07T09:34:01.6360756Z b4291bccbb84: Waiting 2025-09-07T09:34:01.6360927Z 7540c7428627: Waiting 2025-09-07T09:34:01.6361104Z 003c4e2598fb: Pulling fs layer 2025-09-07T09:34:01.6361306Z 5687149362ae: Pulling fs layer 2025-09-07T09:34:01.6361504Z ddc91b09189a: Waiting 2025-09-07T09:34:01.6361675Z 003c4e2598fb: Waiting 2025-09-07T09:34:01.6361865Z cdd2cf54eb2a: Pulling fs layer 2025-09-07T09:34:01.6362069Z d3ad4df1ba3a: Pulling fs layer 2025-09-07T09:34:01.6362267Z 5687149362ae: Waiting 2025-09-07T09:34:01.6362455Z 3c9055753b4c: Pulling fs layer 2025-09-07T09:34:01.6362653Z d3ad4df1ba3a: Waiting 2025-09-07T09:34:01.6362817Z cdd2cf54eb2a: Waiting 2025-09-07T09:34:01.6362991Z 31cf8d0bd21c: Pulling fs layer 2025-09-07T09:34:01.6363193Z 6623ea814971: Pulling fs layer 2025-09-07T09:34:01.6363397Z 3c9055753b4c: Waiting 2025-09-07T09:34:01.6363569Z 11696c3aa380: Pulling fs layer 2025-09-07T09:34:01.6363985Z 31cf8d0bd21c: Waiting 2025-09-07T09:34:01.6364155Z 6623ea814971: Waiting 2025-09-07T09:34:01.6364331Z ef4d544e35ca: Pulling fs layer 2025-09-07T09:34:01.6364518Z 11696c3aa380: Waiting 2025-09-07T09:34:01.6364689Z 5c5108865e5e: Pulling fs layer 2025-09-07T09:34:01.6364872Z 5c5108865e5e: Waiting 2025-09-07T09:34:01.6365043Z 9e97578e9edf: Pulling fs layer 2025-09-07T09:34:01.6365239Z da5a91b54cb5: Pulling fs layer 2025-09-07T09:34:01.6365431Z ef4d544e35ca: Waiting 2025-09-07T09:34:01.6365608Z 1e93be219e89: Pulling fs layer 2025-09-07T09:34:01.6365794Z 9e97578e9edf: Waiting 2025-09-07T09:34:01.6365959Z da5a91b54cb5: Waiting 2025-09-07T09:34:01.6366121Z 1e93be219e89: Waiting 2025-09-07T09:34:01.6366281Z 136825afebb5: Pulling fs layer 2025-09-07T09:34:01.6366474Z 22b39805302d: Pulling fs layer 2025-09-07T09:34:01.6366677Z 136825afebb5: Waiting 2025-09-07T09:34:01.6366843Z 22b39805302d: Waiting 2025-09-07T09:34:01.6367007Z d12add675e35: Pulling fs layer 2025-09-07T09:34:01.6367199Z bc127046d33a: Pulling fs layer 2025-09-07T09:34:01.6367387Z 951e8ce83841: Pulling fs layer 2025-09-07T09:34:01.6367578Z bc127046d33a: Waiting 2025-09-07T09:34:01.6367738Z d12add675e35: Waiting 2025-09-07T09:34:01.6367905Z 32340b97ae50: Pulling fs layer 2025-09-07T09:34:01.6368087Z 32340b97ae50: Waiting 2025-09-07T09:34:01.6368251Z 951e8ce83841: Waiting 2025-09-07T09:34:01.6368418Z 5bbb04cd6b57: Pulling fs layer 2025-09-07T09:34:01.6368623Z d8c4b845cfc7: Pulling fs layer 2025-09-07T09:34:01.6368814Z 5bbb04cd6b57: Waiting 2025-09-07T09:34:01.6368998Z b35c180f4d8d: Pulling fs layer 2025-09-07T09:34:01.6369192Z 5f967b3c303a: Pulling fs layer 2025-09-07T09:34:01.6369385Z 04770904f012: Pulling fs layer 2025-09-07T09:34:01.6369576Z 73373941fb32: Pulling fs layer 2025-09-07T09:34:01.6369762Z d8c4b845cfc7: Waiting 2025-09-07T09:34:01.6369924Z 5f967b3c303a: Waiting 2025-09-07T09:34:01.6370104Z 9572e6cd907b: Pulling fs layer 2025-09-07T09:34:01.6370298Z 64a544aba233: Pulling fs layer 2025-09-07T09:34:01.6370487Z 7e35418a2499: Pulling fs layer 2025-09-07T09:34:01.6370680Z 2ed8e82748d4: Pulling fs layer 2025-09-07T09:34:01.6370864Z 73373941fb32: Waiting 2025-09-07T09:34:01.6371029Z 9572e6cd907b: Waiting 2025-09-07T09:34:01.6371184Z 04770904f012: Waiting 2025-09-07T09:34:01.6371356Z c988fbcccd70: Pulling fs layer 2025-09-07T09:34:01.6371726Z 64a544aba233: Waiting 2025-09-07T09:34:01.6371892Z 7e35418a2499: Waiting 2025-09-07T09:34:01.6372053Z 2ed8e82748d4: Waiting 2025-09-07T09:34:01.6372224Z c988fbcccd70: Waiting 2025-09-07T09:34:01.7850210Z 171dcef20c49: Download complete 2025-09-07T09:34:01.9969996Z 744f9ba90a65: Verifying Checksum 2025-09-07T09:34:01.9970354Z 744f9ba90a65: Download complete 2025-09-07T09:34:02.0924171Z e6fdc8487bfe: Verifying Checksum 2025-09-07T09:34:02.0924558Z e6fdc8487bfe: Download complete 2025-09-07T09:34:02.1629902Z d3c08322a332: Verifying Checksum 2025-09-07T09:34:02.1630689Z d3c08322a332: Download complete 2025-09-07T09:34:02.2518501Z ffd43b71f3cc: Verifying Checksum 2025-09-07T09:34:02.2518826Z ffd43b71f3cc: Download complete 2025-09-07T09:34:02.3041350Z 830692b57f6e: Verifying Checksum 2025-09-07T09:34:02.3041963Z 830692b57f6e: Download complete 2025-09-07T09:34:02.4123688Z 5bad36d18468: Download complete 2025-09-07T09:34:02.5693013Z 3c868a62868e: Verifying Checksum 2025-09-07T09:34:02.5693356Z 3c868a62868e: Download complete 2025-09-07T09:34:02.7261749Z 62170a22dd57: Verifying Checksum 2025-09-07T09:34:02.7262074Z 62170a22dd57: Download complete 2025-09-07T09:34:02.8311794Z e6fdc8487bfe: Pull complete 2025-09-07T09:34:02.8700186Z 171dcef20c49: Pull complete 2025-09-07T09:34:02.8907960Z 553c1d23b6c4: Verifying Checksum 2025-09-07T09:34:02.8908285Z 553c1d23b6c4: Download complete 2025-09-07T09:34:03.0267382Z 9408d557a804: Download complete 2025-09-07T09:34:03.5727810Z 0e34fdd9ac5c: Verifying 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sha256:f30843ff9ea9e117a2c8e6d207e85c9e77dfe682f1dfcdfea5b94178d1bf00b3 2025-09-07T09:48:31.9899471Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:48:32.0297443Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:48:32.0459708Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:48:32.0460503Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T09:48:32.0477155Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:48:32.0477708Z env: 2025-09-07T09:48:32.0477895Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:48:32.0478105Z ##[endgroup] 2025-09-07T09:48:32.0624472Z ##[group]Run echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T09:48:32.0625025Z echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-07T09:48:32.0641302Z shell: /usr/bin/bash -e {0} 2025-09-07T09:48:32.0641522Z env: 2025-09-07T09:48:32.0641687Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:48:32.0641879Z ##[endgroup] 2025-09-07T09:48:32.0836164Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T09:48:32.0836819Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-07T09:48:32.0851638Z shell: /usr/bin/bash -e {0} 2025-09-07T09:48:32.0851866Z env: 2025-09-07T09:48:32.0852030Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:48:32.0852305Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:48:32.0852568Z ##[endgroup] 2025-09-07T09:48:32.0923495Z Prepare all required actions 2025-09-07T09:48:32.1123579Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T09:48:32.1124043Z with: 2025-09-07T09:48:32.1124397Z github-token: *** 2025-09-07T09:48:32.1124591Z env: 2025-09-07T09:48:32.1124761Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:48:32.1125034Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:48:32.1125418Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:48:32.1125737Z ##[endgroup] 2025-09-07T09:48:32.1266202Z ##[group]Run set -eux 2025-09-07T09:48:32.1266416Z set -eux 2025-09-07T09:48:32.1266751Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T09:48:32.1281486Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:48:32.1281790Z env: 2025-09-07T09:48:32.1281967Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:48:32.1282223Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:48:32.1282575Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:48:32.1283011Z GITHUB_TOKEN: *** 2025-09-07T09:48:32.1283195Z ##[endgroup] 2025-09-07T09:48:32.1312360Z + python3 .github/scripts/get_workflow_job_id.py 17525296438 i-05a095f6e498981b2-1002 2025-09-07T09:48:32.9755248Z Setting output job-id=49775781853 2025-09-07T09:48:32.9755722Z Setting output job-name=test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T09:48:32.9932374Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T09:48:32.9932976Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T09:48:32.9933883Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T09:48:32.9934527Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:48:32.9949563Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:48:32.9949866Z env: 2025-09-07T09:48:32.9950033Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:48:32.9950289Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:48:32.9950631Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:48:32.9950911Z JOB_ID: 49775781853 2025-09-07T09:48:32.9951265Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T09:48:32.9951652Z WORKFLOW_NAME: inductor-perf-nightly-h100 2025-09-07T09:48:32.9951900Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T09:48:32.9952099Z MONITOR_LOG_INTERVAL: 15 2025-09-07T09:48:32.9952295Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T09:48:32.9952503Z ##[endgroup] 2025-09-07T09:48:33.3291646Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:48:34.1959033Z Collecting psutil==5.9.8 2025-09-07T09:48:34.2524046Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-09-07T09:48:34.6489983Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 KB 705.8 kB/s eta 0:00:00 2025-09-07T09:48:35.0469339Z Collecting dataclasses_json==0.6.7 2025-09-07T09:48:35.1543107Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T09:48:35.8337976Z Collecting nvidia-ml-py==11.525.84 2025-09-07T09:48:35.8449955Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T09:48:36.0729085Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T09:48:36.0838971Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T09:48:36.1691312Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 KB 488.4 kB/s eta 0:00:00 2025-09-07T09:48:36.3336809Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T09:48:36.5241145Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T09:48:37.5931176Z Collecting packaging>=17.0 2025-09-07T09:48:37.7704177Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T09:48:38.3987040Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.5/66.5 KB 89.8 kB/s eta 0:00:00 2025-09-07T09:48:38.7193223Z Collecting mypy-extensions>=0.3.0 2025-09-07T09:48:38.7303220Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T09:48:39.2946976Z Collecting typing-extensions>=3.7.4 2025-09-07T09:48:39.3057529Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T09:48:39.3132641Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.6/44.6 KB 5.9 MB/s eta 0:00:00 2025-09-07T09:48:39.3766102Z Installing collected packages: nvidia-ml-py, typing-extensions, psutil, packaging, mypy-extensions, typing-inspect, marshmallow, dataclasses_json 2025-09-07T09:48:39.6999220Z Successfully installed dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T09:48:39.7545192Z Prepare all required actions 2025-09-07T09:48:39.7545554Z Getting action download info 2025-09-07T09:48:39.9238521Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T09:48:40.3469091Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T09:48:40.7092897Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T09:48:40.7093179Z with: 2025-09-07T09:48:40.7093371Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:48:40.7093610Z s3-bucket: gha-artifacts 2025-09-07T09:48:40.7094039Z env: 2025-09-07T09:48:40.7094212Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:48:40.7094458Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:48:40.7094900Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:48:40.7095191Z ##[endgroup] 2025-09-07T09:48:40.7118160Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T09:48:40.7118415Z with: 2025-09-07T09:48:40.7118601Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:48:40.7118946Z s3-bucket: gha-artifacts 2025-09-07T09:48:40.7119143Z region: us-east-1 2025-09-07T09:48:40.7119302Z env: 2025-09-07T09:48:40.7119457Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:48:40.7119703Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:48:40.7120029Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:48:40.7120303Z ##[endgroup] 2025-09-07T09:48:41.1192776Z (node:7896) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T09:48:41.1193235Z 2025-09-07T09:48:41.1193436Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T09:48:41.1194110Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T09:48:41.1194635Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T09:48:41.2776329Z Found 1 objects with prefix pytorch/pytorch/17525296438/linux-jammy-cuda12.8-py3.10-gcc9-sm90/ 2025-09-07T09:48:41.2776958Z Starting download (1/1): /home/bob/_work/pytorch/pytorch/artifacts.zip 2025-09-07T09:48:51.2237784Z Finished download (1/1): /home/bob/_work/pytorch/pytorch/artifacts.zip 2025-09-07T09:48:51.2245735Z Artifact download has finished successfully 2025-09-07T09:48:51.2513679Z ##[group]Run unzip -o artifacts.zip 2025-09-07T09:48:51.2514255Z unzip -o artifacts.zip 2025-09-07T09:48:51.2534935Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:48:51.2535353Z env: 2025-09-07T09:48:51.2535585Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:48:51.2535949Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:48:51.2536446Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:48:51.2536862Z ##[endgroup] 2025-09-07T09:48:51.2593265Z Archive: artifacts.zip 2025-09-07T09:48:51.2595096Z creating: dist/ 2025-09-07T09:48:53.0252002Z inflating: dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:48:53.0252690Z creating: dist/vision/ 2025-09-07T09:48:53.0361300Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:48:53.0361738Z creating: dist/audio/ 2025-09-07T09:48:53.0418078Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:48:53.0418832Z creating: dist/torchrec/ 2025-09-07T09:48:53.0441755Z inflating: dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:48:53.0442126Z creating: dist/fbgemm_gpu/ 2025-09-07T09:48:53.8878810Z inflating: dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:48:53.8879254Z creating: dist/ao/ 2025-09-07T09:48:53.8920739Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T09:48:53.9041603Z inflating: dist/.ninja_log 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2025-09-07T09:49:02.2002371Z ##[group]Run rm artifacts.zip 2025-09-07T09:49:02.2002630Z rm artifacts.zip 2025-09-07T09:49:02.2018917Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:02.2019203Z env: 2025-09-07T09:49:02.2019378Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:02.2019637Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:02.2020038Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:02.2020322Z ##[endgroup] 2025-09-07T09:49:02.4618400Z ##[group]Run df -H 2025-09-07T09:49:02.4618615Z df -H 2025-09-07T09:49:02.4635242Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:02.4635540Z env: 2025-09-07T09:49:02.4635713Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:02.4635967Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:02.4636325Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:02.4636617Z ##[endgroup] 2025-09-07T09:49:02.4686038Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T09:49:02.4686406Z overlay 11T 641G 9.8T 7% / 2025-09-07T09:49:02.4686687Z tmpfs 68M 0 68M 0% /dev 2025-09-07T09:49:02.4686975Z shm 68M 0 68M 0% /dev/shm 2025-09-07T09:49:02.4687285Z /dev/root 11T 641G 9.8T 7% /home/bob/_work 2025-09-07T09:49:02.4688006Z tmpfs 215G 119k 215G 1% /run/docker.sock 2025-09-07T09:49:02.4688355Z tmpfs 1.1T 13k 1.1T 1% /proc/driver/nvidia 2025-09-07T09:49:02.4688808Z tmpfs 430G 3.0M 430G 1% /run/.ro2101726638/nvidia-persistenced/socket 2025-09-07T09:49:02.4689196Z tmpfs 1.1T 0 1.1T 0% /proc/acpi 2025-09-07T09:49:02.4689486Z tmpfs 1.1T 0 1.1T 0% /proc/scsi 2025-09-07T09:49:02.4689778Z tmpfs 1.1T 0 1.1T 0% /sys/firmware 2025-09-07T09:49:02.4717851Z Prepare all required actions 2025-09-07T09:49:02.4718673Z Getting action download info 2025-09-07T09:49:02.6390547Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T09:49:02.6390809Z with: 2025-09-07T09:49:02.6390960Z env: 2025-09-07T09:49:02.6391116Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:02.6391352Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:02.6391674Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:02.6391960Z ##[endgroup] 2025-09-07T09:49:02.6414347Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T09:49:02.6414607Z with: 2025-09-07T09:49:02.6414771Z name: td_results 2025-09-07T09:49:02.6414950Z s3-bucket: gha-artifacts 2025-09-07T09:49:02.6415143Z region: us-east-1 2025-09-07T09:49:02.6415300Z env: 2025-09-07T09:49:02.6415460Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:02.6415707Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:02.6416090Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:02.6416388Z ##[endgroup] 2025-09-07T09:49:03.0617565Z (node:7919) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T09:49:03.0618046Z 2025-09-07T09:49:03.0618229Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T09:49:03.0618767Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T09:49:03.0619302Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T09:49:03.1675791Z Found 0 objects with prefix pytorch/pytorch/17525296438/td_results/ 2025-09-07T09:49:03.1681718Z Artifact download has finished successfully 2025-09-07T09:49:03.1953010Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T09:49:03.1953304Z mkdir -p .additional_ci_files 2025-09-07T09:49:03.1953618Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T09:49:03.1970159Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:03.1970462Z env: 2025-09-07T09:49:03.1970627Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:03.1970887Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:03.1971227Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:03.1971500Z ##[endgroup] 2025-09-07T09:49:03.2032102Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T09:49:03.2057346Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T09:49:03.2057672Z .github/scripts/parse_ref.py 2025-09-07T09:49:03.2072440Z shell: /usr/bin/bash -e {0} 2025-09-07T09:49:03.2072695Z env: 2025-09-07T09:49:03.2072862Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:03.2073117Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:03.2073472Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:03.2073893Z ##[endgroup] 2025-09-07T09:49:03.2259237Z Setting output branch=main 2025-09-07T09:49:03.2371180Z Prepare all required actions 2025-09-07T09:49:03.2371539Z Getting action download info 2025-09-07T09:49:03.3911938Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T09:49:03.3912203Z with: 2025-09-07T09:49:03.3912534Z github-token: *** 2025-09-07T09:49:03.3917553Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T09:49:03.3923016Z job-name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T09:49:03.3923370Z env: 2025-09-07T09:49:03.3923529Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:03.3923907Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:03.3924240Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:03.3924505Z ##[endgroup] 2025-09-07T09:49:03.3952213Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:49:03.3952458Z with: 2025-09-07T09:49:03.3952614Z shell: bash 2025-09-07T09:49:03.3952785Z timeout_minutes: 10 2025-09-07T09:49:03.3952971Z max_attempts: 5 2025-09-07T09:49:03.3953149Z retry_wait_seconds: 30 2025-09-07T09:49:03.3953889Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T09:49:03.3954503Z polling_interval_seconds: 1 2025-09-07T09:49:03.3954725Z warning_on_retry: true 2025-09-07T09:49:03.3954917Z continue_on_error: false 2025-09-07T09:49:03.3955096Z env: 2025-09-07T09:49:03.3955258Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:03.3955497Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:03.3955832Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:03.3956264Z GITHUB_TOKEN: *** 2025-09-07T09:49:03.3956444Z ##[endgroup] 2025-09-07T09:49:03.4678046Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T09:49:03.7402699Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:49:03.9104395Z Collecting requests==2.27.1 2025-09-07T09:49:03.9695710Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T09:49:03.9921653Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 2.6 MB/s eta 0:00:00 2025-09-07T09:49:04.0743702Z Collecting pyyaml==6.0.2 2025-09-07T09:49:04.0856037Z Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB) 2025-09-07T09:49:04.1286402Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 18.0 MB/s eta 0:00:00 2025-09-07T09:49:04.1398351Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-09-07T09:49:04.3138338Z Collecting charset-normalizer~=2.0.0 2025-09-07T09:49:04.3250208Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T09:49:04.3327881Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-09-07T09:49:04.3334260Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-09-07T09:49:04.4015926Z Installing collected packages: pyyaml, charset-normalizer, requests 2025-09-07T09:49:04.4698135Z WARNING: The script normalizer is installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T09:49:04.4698892Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T09:49:04.5112150Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T09:49:05.4678277Z Command completed after 1 attempt(s). 2025-09-07T09:49:05.4749197Z ##[group]Run set -x 2025-09-07T09:49:05.4749417Z set -x 2025-09-07T09:49:05.4749582Z  2025-09-07T09:49:05.4749897Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T09:49:05.4750257Z # in runner workspace 2025-09-07T09:49:05.4750545Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T09:49:05.4767129Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:05.4767431Z env: 2025-09-07T09:49:05.4767593Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:05.4767845Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:05.4768174Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:05.4768521Z ##[endgroup] 2025-09-07T09:49:05.4804831Z + python3 /home/bob/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T09:49:05.4949410Z Setting output branch=main 2025-09-07T09:49:05.4995346Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T09:49:05.4995694Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T09:49:05.4995951Z echo "Job name: ${JOB_NAME}" 2025-09-07T09:49:05.4996173Z  2025-09-07T09:49:05.4996473Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T09:49:05.4997052Z # in runner workspace 2025-09-07T09:49:05.4997369Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T09:49:05.4997720Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T09:49:05.4997967Z  --job-name "${JOB_NAME}" \ 2025-09-07T09:49:05.5003091Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]}" \ 2025-09-07T09:49:05.5008320Z  --selected-test-configs "" \ 2025-09-07T09:49:05.5008564Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T09:49:05.5008793Z  --tag "${TAG}" \ 2025-09-07T09:49:05.5009004Z  --event-name "${EVENT_NAME}" \ 2025-09-07T09:49:05.5009233Z  --schedule "${SCHEDULE}" \ 2025-09-07T09:49:05.5009461Z  --branch "${HEAD_BRANCH}" 2025-09-07T09:49:05.5025444Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:05.5025734Z env: 2025-09-07T09:49:05.5025901Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:05.5026141Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:05.5026471Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:05.5026937Z GITHUB_TOKEN: *** 2025-09-07T09:49:05.5027255Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T09:49:05.5027616Z PR_NUMBER: 2025-09-07T09:49:05.5027779Z TAG: 2025-09-07T09:49:05.5027931Z EVENT_NAME: schedule 2025-09-07T09:49:05.5028112Z SCHEDULE: 0 7 * * 0 2025-09-07T09:49:05.5028284Z HEAD_BRANCH: main 2025-09-07T09:49:05.5028455Z ##[endgroup] 2025-09-07T09:49:05.5062542Z Workflow: inductor-perf-nightly-h100 2025-09-07T09:49:05.5063020Z Job name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T09:49:05.7130449Z Setting output keep-going=True 2025-09-07T09:49:05.7130853Z Setting output ci-verbose-test-logs=False 2025-09-07T09:49:05.7131194Z Setting output ci-test-showlocals=False 2025-09-07T09:49:05.7131516Z Setting output ci-no-test-timeout=False 2025-09-07T09:49:05.7131813Z Setting output ci-no-td=False 2025-09-07T09:49:05.7132101Z Setting output ci-td-distributed=False 2025-09-07T09:49:05.7132408Z Setting output is-unstable=False 2025-09-07T09:49:05.7132688Z Setting output reenabled-issues= 2025-09-07T09:49:05.7139775Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]} 2025-09-07T09:49:05.7146384Z Setting output is-test-matrix-empty=False 2025-09-07T09:49:05.7250807Z ##[group]Run echo "Filtered matrix:" 2025-09-07T09:49:05.7251096Z echo "Filtered matrix:" 2025-09-07T09:49:05.7256494Z echo "{"include": [{"config": "inductor_huggingface_perf_cuda_h100", "shard": 1, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 2, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 3, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 4, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_huggingface_perf_cuda_h100", "shard": 5, "num_shards": 5, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 1, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 2, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 3, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 4, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 5, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 6, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_timm_perf_cuda_h100", "shard": 7, "num_shards": 7, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 1, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 2, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 3, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 4, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 5, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 6, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 7, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 8, "num_shards": 9, "runner": "linux.aws.h100"}, {"config": "inductor_torchbench_perf_cuda_h100", "shard": 9, "num_shards": 9, "runner": "linux.aws.h100"}]}" 2025-09-07T09:49:05.7261342Z  2025-09-07T09:49:05.7261498Z echo 2025-09-07T09:49:05.7261693Z echo "Is the current job unstable? False" 2025-09-07T09:49:05.7261938Z  2025-09-07T09:49:05.7262086Z echo 2025-09-07T09:49:05.7262271Z echo "Is keep-going label set? True" 2025-09-07T09:49:05.7262716Z  2025-09-07T09:49:05.7262864Z echo 2025-09-07T09:49:05.7263038Z echo "Reenabled issues? " 2025-09-07T09:49:05.7279800Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:05.7280092Z env: 2025-09-07T09:49:05.7280258Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:05.7280513Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:05.7280841Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:05.7281131Z ##[endgroup] 2025-09-07T09:49:05.7317525Z Filtered matrix: 2025-09-07T09:49:05.7326663Z {include: [{config: inductor_huggingface_perf_cuda_h100, shard: 1, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 2, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 3, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 4, num_shards: 5, runner: linux.aws.h100}, {config: inductor_huggingface_perf_cuda_h100, shard: 5, num_shards: 5, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 1, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 2, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 3, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 4, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 5, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 6, num_shards: 7, runner: linux.aws.h100}, {config: inductor_timm_perf_cuda_h100, shard: 7, num_shards: 7, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 1, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 2, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 3, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 4, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 5, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 6, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 7, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 8, num_shards: 9, runner: linux.aws.h100}, {config: inductor_torchbench_perf_cuda_h100, shard: 9, num_shards: 9, runner: linux.aws.h100}]} 2025-09-07T09:49:05.7335645Z 2025-09-07T09:49:05.7335786Z Is the current job unstable? False 2025-09-07T09:49:05.7336052Z 2025-09-07T09:49:05.7336187Z Is keep-going label set? True 2025-09-07T09:49:05.7336428Z 2025-09-07T09:49:05.7336545Z Reenabled issues? 2025-09-07T09:49:05.7386234Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:05.7386914Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T09:49:05.7409203Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:05.7409708Z env: 2025-09-07T09:49:05.7409971Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:05.7410386Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:05.7410958Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:05.7411437Z JOB_TIMEOUT: 1440 2025-09-07T09:49:05.7411722Z ##[endgroup] 2025-09-07T09:49:05.7475304Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:49:05.7475714Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:49:05.7476114Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T09:49:05.7490874Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:49:05.7491162Z env: 2025-09-07T09:49:05.7491322Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:05.7491576Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:05.7491909Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:05.7492413Z ##[endgroup] 2025-09-07T09:49:05.7608555Z ##[group]Run set -x 2025-09-07T09:49:05.7608864Z set -x 2025-09-07T09:49:05.7609039Z  2025-09-07T09:49:05.7609234Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T09:49:05.7609531Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T09:49:05.7609831Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T09:49:05.7610270Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T09:49:05.7610495Z else 2025-09-07T09:49:05.7610677Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T09:49:05.7610903Z fi 2025-09-07T09:49:05.7611055Z  2025-09-07T09:49:05.7611241Z # Leaving 1GB for the runner and other things 2025-09-07T09:49:05.7611651Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T09:49:05.7612292Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T09:49:05.7612806Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T09:49:05.7613187Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T09:49:05.7613495Z  2025-09-07T09:49:05.7613692Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T09:49:05.7614145Z  SHM_OPTS= 2025-09-07T09:49:05.7614319Z  JENKINS_USER= 2025-09-07T09:49:05.7614569Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T09:49:05.7614903Z  # if for some reason cleanup action doesn't stop container 2025-09-07T09:49:05.7615181Z  # when job is cancelled 2025-09-07T09:49:05.7615405Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T09:49:05.7615612Z else 2025-09-07T09:49:05.7615795Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T09:49:05.7616056Z  JENKINS_USER="--user jenkins" 2025-09-07T09:49:05.7616278Z  DOCKER_SHELL_CMD= 2025-09-07T09:49:05.7616457Z fi 2025-09-07T09:49:05.7616606Z  2025-09-07T09:49:05.7616852Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T09:49:05.7617224Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T09:49:05.7617641Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T09:49:05.7618012Z # shellcheck disable=SC2086,SC2090 2025-09-07T09:49:05.7618264Z container_name=$(docker run \ 2025-09-07T09:49:05.7618491Z  ${GPU_FLAG:-} \ 2025-09-07T09:49:05.7618711Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T09:49:05.7618957Z  -e BUILD_ENVIRONMENT \ 2025-09-07T09:49:05.7619170Z  -e PR_NUMBER \ 2025-09-07T09:49:05.7619365Z  -e GITHUB_ACTIONS \ 2025-09-07T09:49:05.7619579Z  -e GITHUB_REPOSITORY \ 2025-09-07T09:49:05.7619788Z  -e GITHUB_WORKFLOW \ 2025-09-07T09:49:05.7619991Z  -e GITHUB_JOB \ 2025-09-07T09:49:05.7620186Z  -e GITHUB_RUN_ID \ 2025-09-07T09:49:05.7620386Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T09:49:05.7620592Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T09:49:05.7620796Z  -e JOB_ID \ 2025-09-07T09:49:05.7620978Z  -e JOB_NAME \ 2025-09-07T09:49:05.7621163Z  -e BASE_SHA \ 2025-09-07T09:49:05.7621334Z  -e BRANCH \ 2025-09-07T09:49:05.7621507Z  -e SHA1 \ 2025-09-07T09:49:05.7621690Z  -e AWS_DEFAULT_REGION \ 2025-09-07T09:49:05.7621898Z  -e IN_WHEEL_TEST \ 2025-09-07T09:49:05.7622087Z  -e SHARD_NUMBER \ 2025-09-07T09:49:05.7622286Z  -e TEST_CONFIG \ 2025-09-07T09:49:05.7622485Z  -e NUM_TEST_SHARDS \ 2025-09-07T09:49:05.7622695Z  -e REENABLED_ISSUES \ 2025-09-07T09:49:05.7623153Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T09:49:05.7623556Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T09:49:05.7623950Z  -e TEST_SHOWLOCALS \ 2025-09-07T09:49:05.7624177Z  -e NO_TEST_TIMEOUT \ 2025-09-07T09:49:05.7624382Z  -e NO_TD \ 2025-09-07T09:49:05.7624572Z  -e TD_DISTRIBUTED \ 2025-09-07T09:49:05.7624773Z  -e PR_LABELS \ 2025-09-07T09:49:05.7624987Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T09:49:05.7625215Z  -e SCCACHE_BUCKET \ 2025-09-07T09:49:05.7625414Z  -e SCCACHE_REGION \ 2025-09-07T09:49:05.7625608Z  -e XLA_CUDA \ 2025-09-07T09:49:05.7625810Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T09:49:05.7626065Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T09:49:05.7626321Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T09:49:05.7626591Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T09:49:05.7626844Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T09:49:05.7627091Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T09:49:05.7627327Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T09:49:05.7627553Z  -e DASHBOARD_TAG \ 2025-09-07T09:49:05.7627773Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T09:49:05.7628034Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T09:49:05.7628324Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T09:49:05.7628614Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T09:49:05.7628891Z  --security-opt seccomp=unconfined \ 2025-09-07T09:49:05.7629133Z  --cap-add=SYS_PTRACE \ 2025-09-07T09:49:05.7629343Z  --ipc=host \ 2025-09-07T09:49:05.7629523Z  ${SHM_OPTS} \ 2025-09-07T09:49:05.7629704Z  --tty \ 2025-09-07T09:49:05.7629886Z  --detach \ 2025-09-07T09:49:05.7630078Z  --name="${container_name}" \ 2025-09-07T09:49:05.7630302Z  ${JENKINS_USER} \ 2025-09-07T09:49:05.7630554Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T09:49:05.7630838Z  -w /var/lib/jenkins/workspace \ 2025-09-07T09:49:05.7631064Z  "${DOCKER_IMAGE}" \ 2025-09-07T09:49:05.7631257Z  ${DOCKER_SHELL_CMD} 2025-09-07T09:49:05.7631443Z ) 2025-09-07T09:49:05.7631654Z # Propagate download.pytorch.org IP to container 2025-09-07T09:49:05.7632130Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T09:49:05.7632633Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T09:49:05.7632919Z  2025-09-07T09:49:05.7633105Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T09:49:05.7633519Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T09:49:05.7634041Z fi 2025-09-07T09:49:05.7634190Z  2025-09-07T09:49:05.7634546Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T09:49:05.7650869Z shell: /usr/bin/bash -e {0} 2025-09-07T09:49:05.7651097Z env: 2025-09-07T09:49:05.7651267Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:49:05.7651518Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:05.7651865Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:05.7652221Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:49:05.7652499Z PR_NUMBER: 2025-09-07T09:49:05.7652692Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T09:49:05.7652954Z GITHUB_WORKFLOW: inductor-perf-nightly-h100 2025-09-07T09:49:05.7653196Z GITHUB_JOB: test 2025-09-07T09:49:05.7653372Z GITHUB_RUN_ID: 17525296438 2025-09-07T09:49:05.7653565Z GITHUB_RUN_NUMBER: 662 2025-09-07T09:49:05.7653925Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T09:49:05.7654295Z JOB_ID: 49775781853 2025-09-07T09:49:05.7654763Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T09:49:05.7655110Z BRANCH: main 2025-09-07T09:49:05.7655296Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:05.7655558Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:05.7655826Z TEST_CONFIG: inductor_torchbench_perf_cuda_h100 2025-09-07T09:49:05.7656060Z SHARD_NUMBER: 7 2025-09-07T09:49:05.7656215Z NUM_TEST_SHARDS: 9 2025-09-07T09:49:05.7656380Z REENABLED_ISSUES: 2025-09-07T09:49:05.7656553Z CONTINUE_THROUGH_ERROR: True 2025-09-07T09:49:05.7656756Z VERBOSE_TEST_LOGS: False 2025-09-07T09:49:05.7656941Z TEST_SHOWLOCALS: False 2025-09-07T09:49:05.7657136Z NO_TEST_TIMEOUT: False 2025-09-07T09:49:05.7657310Z NO_TD: False 2025-09-07T09:49:05.7657471Z TD_DISTRIBUTED: False 2025-09-07T09:49:05.7657690Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T09:49:05.7657957Z SCCACHE_REGION: us-east-1 2025-09-07T09:49:05.7658152Z SHM_SIZE: 2g 2025-09-07T09:49:05.7658801Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T09:49:05.7659490Z XLA_CUDA: 2025-09-07T09:49:05.7659741Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:49:05.7660071Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T09:49:05.7660547Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T09:49:05.7661583Z 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 2025-09-07T09:49:05.7662729Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T09:49:05.7663209Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T09:49:05.7663607Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T09:49:05.7664286Z ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853 2025-09-07T09:49:05.7664803Z ##[endgroup] 2025-09-07T09:49:05.7704092Z + [[ inductor_torchbench_perf_cuda_h100 == \m\u\l\t\i\g\p\u ]] 2025-09-07T09:49:05.7704630Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *onnx* ]] 2025-09-07T09:49:05.7705011Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T09:49:05.7706462Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T09:49:05.7716679Z + TOTAL_AVAILABLE_MEMORY_IN_GB='1998.946 ' 2025-09-07T09:49:05.7717267Z + TOTAL_MEMORY_WITH_SWAP=2001 2025-09-07T09:49:05.7717689Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T09:49:05.7718064Z + SHM_OPTS=--shm-size=2g 2025-09-07T09:49:05.7718419Z + JENKINS_USER='--user jenkins' 2025-09-07T09:49:05.7718751Z + DOCKER_SHELL_CMD= 2025-09-07T09:49:05.7726817Z +++ nproc --ignore=2 2025-09-07T09:49:05.7741495Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e SCCACHE_SERVER_PORT=5228 -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=22 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=1998g --memory-swap=2001g --env-file=/tmp/github_env_17525296438 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/bob/_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 2025-09-07T09:49:24.6481824Z + container_name=f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T09:49:24.6485120Z + grep download.pytorch.org /etc/hosts 2025-09-07T09:49:24.6486343Z + docker exec -i f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T09:49:24.7160711Z + echo DOCKER_CONTAINER_ID=f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T09:49:24.7161369Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *\s\3\9\0\x* ]] 2025-09-07T09:49:24.7166000Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl 2025-09-07T09:49:24.7168696Z + docker exec -t f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T09:49:25.1406393Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T09:49:25.4616119Z 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) 2025-09-07T09:49:25.4619236Z 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) 2025-09-07T09:49:25.4622932Z 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) 2025-09-07T09:49:25.4627023Z 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) 2025-09-07T09:49:25.4631705Z 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) 2025-09-07T09:49:25.4634077Z 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) 2025-09-07T09:49:25.4646633Z 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) 2025-09-07T09:49:25.4969992Z 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) 2025-09-07T09:49:25.4987121Z 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) 2025-09-07T09:49:25.5018927Z 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) 2025-09-07T09:49:26.2932789Z Installing collected packages: torch 2025-09-07T09:49:37.4918817Z 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. 2025-09-07T09:49:37.4920046Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T09:49:37.4920597Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T09:49:37.4921257Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-09-07T09:49:37.4921918Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T09:49:37.4922733Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T09:49:37.4924559Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T09:49:37.4925453Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T09:49:37.5622890Z + export TERM=vt100 2025-09-07T09:49:37.5623444Z + TERM=vt100 2025-09-07T09:49:37.5627138Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:49:37.5641880Z + source .ci/pytorch/common.sh 2025-09-07T09:49:37.5645387Z +++ dirname .ci/pytorch/common.sh 2025-09-07T09:49:37.5654313Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T09:49:37.5656070Z +++ declare -f -t trap_add 2025-09-07T09:49:37.5659607Z ++ set -ex -o pipefail 2025-09-07T09:49:37.5659985Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:49:37.5660455Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T09:49:37.5664659Z ++ dirname .ci/pytorch/test.sh 2025-09-07T09:49:37.5676587Z + source .ci/pytorch/common-build.sh 2025-09-07T09:49:37.5679287Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *win-* ]] 2025-09-07T09:49:37.5687018Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T09:49:37.5698327Z +++ cd .ci/pytorch 2025-09-07T09:49:37.5698681Z +++ pwd -P 2025-09-07T09:49:37.5700779Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T09:49:37.5701264Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-pch* ]] 2025-09-07T09:49:37.5701716Z ++ which sccache 2025-09-07T09:49:37.5717906Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T09:49:37.5718288Z ++ sccache --stop-server 2025-09-07T09:49:37.5753420Z ++ true 2025-09-07T09:49:37.5753602Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T09:49:37.5766537Z ++ trap_add sccache_epilogue EXIT 2025-09-07T09:49:37.5766826Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T09:49:37.5767060Z ++ shift 2025-09-07T09:49:37.5767241Z ++ for trap_add_name in "$@" 2025-09-07T09:49:37.5774271Z ++++ trap -p EXIT 2025-09-07T09:49:37.5776885Z +++ eval 'extract_trap_cmd ' 2025-09-07T09:49:37.5777142Z ++++ extract_trap_cmd 2025-09-07T09:49:37.5777352Z ++++ printf '%s\n' '' 2025-09-07T09:49:37.5777585Z +++ printf '%s\n' sccache_epilogue 2025-09-07T09:49:37.5779755Z ++ trap -- ' 2025-09-07T09:49:37.5779956Z sccache_epilogue' EXIT 2025-09-07T09:49:37.5780188Z ++ [[ -n 1 ]] 2025-09-07T09:49:37.5780498Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T09:49:37.5780994Z Skipping sccache server initialization, setting environment variables 2025-09-07T09:49:37.5781348Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:49:37.5781576Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:49:37.5781844Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:49:37.5782193Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:49:37.5782527Z ++ export RUST_LOG=sccache::server=error 2025-09-07T09:49:37.5782783Z ++ RUST_LOG=sccache::server=error 2025-09-07T09:49:37.5783012Z ++ sccache --zero-stats 2025-09-07T09:49:37.7223322Z Statistics zeroed. 2025-09-07T09:49:37.7230797Z ++ which ccache 2025-09-07T09:49:37.7245156Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *rocm* ]] 2025-09-07T09:49:37.7245539Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *s390x* ]] 2025-09-07T09:49:37.7245859Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T09:49:37.7248698Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T09:49:37.7261263Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T09:49:37.7261538Z + trap_add cleanup_workspace EXIT 2025-09-07T09:49:37.7261779Z + trap_add_cmd=cleanup_workspace 2025-09-07T09:49:37.7269804Z + shift 2025-09-07T09:49:37.7269988Z + for trap_add_name in "$@" 2025-09-07T09:49:37.7270215Z +++ trap -p EXIT 2025-09-07T09:49:37.7272490Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T09:49:37.7272756Z sccache_epilogue'\'' EXIT' 2025-09-07T09:49:37.7272975Z +++ extract_trap_cmd trap -- ' 2025-09-07T09:49:37.7273198Z sccache_epilogue' EXIT 2025-09-07T09:49:37.7273676Z +++ printf '%s\n' ' 2025-09-07T09:49:37.7274017Z sccache_epilogue' 2025-09-07T09:49:37.7274236Z ++ printf '%s\n' cleanup_workspace 2025-09-07T09:49:37.7275364Z + trap -- ' 2025-09-07T09:49:37.7275535Z sccache_epilogue 2025-09-07T09:49:37.7276050Z cleanup_workspace' EXIT 2025-09-07T09:49:37.7276470Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T09:49:39.9180469Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T09:49:39.9209609Z + echo 'Environment variables:' 2025-09-07T09:49:39.9209850Z Environment variables: 2025-09-07T09:49:39.9210064Z + env 2025-09-07T09:49:39.9218432Z GITHUB_WORKSPACE=/home/bob/_work/pytorch/pytorch 2025-09-07T09:49:39.9218795Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:49:39.9219081Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:49:39.9219618Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:49:39.9219853Z HOSTNAME=f71ad610b58a 2025-09-07T09:49:39.9220256Z GITHUB_PATH=/home/bob/_work/_temp/_runner_file_commands/add_path_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:39.9220682Z GITHUB_ACTION=__run_2 2025-09-07T09:49:39.9220892Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:49:39.9221123Z GITHUB_RUN_NUMBER=662 2025-09-07T09:49:39.9221381Z TEST_CONFIG=inductor_torchbench_perf_cuda_h100 2025-09-07T09:49:39.9221673Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:49:39.9221939Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:49:39.9222187Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:49:39.9222503Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:49:39.9222765Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T09:49:39.9223019Z GITHUB_REF_TYPE=branch 2025-09-07T09:49:39.9223249Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:39.9223512Z XLA_CUDA= 2025-09-07T09:49:39.9224068Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:49:39.9224422Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:49:39.9224738Z *** 2025-09-07T09:49:39.9224910Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:49:39.9225142Z GITHUB_ACTIONS=true 2025-09-07T09:49:39.9225347Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:39.9225623Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:49:39.9225932Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:39.9226238Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:39.9226757Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T09:49:39.9227237Z UCC_HOME=/usr 2025-09-07T09:49:39.9227411Z VERBOSE_TEST_LOGS=False 2025-09-07T09:49:39.9227614Z GITHUB_REF=refs/heads/main 2025-09-07T09:49:39.9227819Z SHARD_NUMBER=7 2025-09-07T09:49:39.9228003Z GITHUB_REF_PROTECTED=true 2025-09-07T09:49:39.9228203Z HOME=/var/lib/jenkins 2025-09-07T09:49:39.9228400Z SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:39.9228636Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:49:39.9228909Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:49:39.9229176Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:49:39.9229423Z USE_SYSTEM_NCCL=1 2025-09-07T09:49:39.9229630Z NUM_TEST_SHARDS=9 2025-09-07T09:49:39.9229796Z UCX_HOME=/usr 2025-09-07T09:49:39.9230132Z GITHUB_STATE=/home/bob/_work/_temp/_runner_file_commands/save_state_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:39.9230663Z JOB_NAME=test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T09:49:39.9231154Z GITHUB_ENV=/home/bob/_work/_temp/_runner_file_commands/set_env_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:39.9231603Z GITHUB_EVENT_PATH=/home/bob/_work/_temp/_github_workflow/event.json 2025-09-07T09:49:39.9231897Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:49:39.9232781Z 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 2025-09-07T09:49:39.9233687Z GITHUB_RUN_ID=17525296438 2025-09-07T09:49:39.9234048Z INSTALLED_OPENBLAS= 2025-09-07T09:49:39.9234417Z GITHUB_STEP_SUMMARY=/home/bob/_work/_temp/_runner_file_commands/step_summary_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:39.9234831Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T09:49:39.9235022Z PR_NUMBER= 2025-09-07T09:49:39.9235525Z DESIRED_CUDA=12.8.1 2025-09-07T09:49:39.9235943Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:49:39.9236140Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:49:39.9236374Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:49:39.9236622Z TERM=vt100 2025-09-07T09:49:39.9236779Z INSTALLED_VISION=yes 2025-09-07T09:49:39.9237056Z BRANCH=main 2025-09-07T09:49:39.9237218Z SCCACHE_REGION=us-east-1 2025-09-07T09:49:39.9237419Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:49:39.9237629Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:49:39.9237938Z GITHUB_ACTION_PATH=/home/bob/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:49:39.9238285Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:49:39.9238546Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:49:39.9238795Z REENABLED_ISSUES= 2025-09-07T09:49:39.9238965Z DOCS= 2025-09-07T09:49:39.9239102Z SHLVL=1 2025-09-07T09:49:39.9239249Z MAX_JOBS=22 2025-09-07T09:49:39.9239423Z GITHUB_ACTOR_ID=97764156 2025-09-07T09:49:39.9239671Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:39.9239942Z GITHUB_REF_NAME=main 2025-09-07T09:49:39.9240217Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:49:39.9240520Z GITHUB_JOB=test 2025-09-07T09:49:39.9240679Z NO_TEST_TIMEOUT=False 2025-09-07T09:49:39.9240866Z TD_DISTRIBUTED=False 2025-09-07T09:49:39.9241056Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:49:39.9241270Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:49:39.9241456Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:49:39.9241644Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:49:39.9242188Z 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 2025-09-07T09:49:39.9242744Z GITHUB_BASE_REF= 2025-09-07T09:49:39.9242907Z INSTALLED_ACL= 2025-09-07T09:49:39.9243221Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853 2025-09-07T09:49:39.9243586Z CI=true 2025-09-07T09:49:39.9243914Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:49:39.9244161Z RUST_LOG=sccache::server=error 2025-09-07T09:49:39.9244351Z JOB_ID=49775781853 2025-09-07T09:49:39.9244513Z GITHUB_HEAD_REF= 2025-09-07T09:49:39.9244688Z GITHUB_ACTION_REF= 2025-09-07T09:49:39.9244895Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:49:39.9245142Z TEST_SHOWLOCALS=False 2025-09-07T09:49:39.9245352Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T09:49:39.9245599Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:49:39.9245978Z GITHUB_OUTPUT=/home/bob/_work/_temp/_runner_file_commands/set_output_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:39.9246352Z NO_TD=False 2025-09-07T09:49:39.9246519Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:49:39.9246747Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:49:39.9246970Z _=/usr/bin/env 2025-09-07T09:49:39.9247192Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T09:49:39.9504500Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-09-07T09:49:39.9505139Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-09-07T09:49:39.9505685Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-09-07T09:49:39.9506219Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-09-07T09:49:39.9506623Z + BUILD_DIR=build 2025-09-07T09:49:39.9506852Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T09:49:39.9507123Z + BUILD_BIN_DIR=build/bin 2025-09-07T09:49:39.9507364Z + SHARD_NUMBER=7 2025-09-07T09:49:39.9507575Z + NUM_TEST_SHARDS=9 2025-09-07T09:49:39.9507807Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:49:39.9508094Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:49:39.9508348Z + export VALGRIND=ON 2025-09-07T09:49:39.9508584Z + VALGRIND=ON 2025-09-07T09:49:39.9508885Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *clang9* ]] 2025-09-07T09:49:39.9509226Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T09:49:39.9509818Z + detect_cuda_arch 2025-09-07T09:49:39.9510243Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:49:39.9510535Z + command -v nvidia-smi 2025-09-07T09:49:39.9510737Z /usr/bin/nvidia-smi 2025-09-07T09:49:39.9514694Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-09-07T09:49:39.9516113Z ++ tail -n 1 2025-09-07T09:49:39.9739993Z + TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T09:49:39.9740258Z + export TORCH_CUDA_ARCH_LIST 2025-09-07T09:49:39.9740582Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *s390x* ]] 2025-09-07T09:49:39.9740889Z + [[ 0 == \1 ]] 2025-09-07T09:49:39.9741082Z + [[ True == \1 ]] 2025-09-07T09:49:39.9741337Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *bazel* ]] 2025-09-07T09:49:39.9745640Z ++ realpath build/custom_test_artifacts 2025-09-07T09:49:39.9755574Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T09:49:39.9755995Z + [[ -n '' ]] 2025-09-07T09:49:39.9756208Z + echo 'Environment variables' 2025-09-07T09:49:39.9756441Z Environment variables 2025-09-07T09:49:39.9756628Z + env 2025-09-07T09:49:39.9765603Z GITHUB_WORKSPACE=/home/bob/_work/pytorch/pytorch 2025-09-07T09:49:39.9765880Z CONTINUE_THROUGH_ERROR=True 2025-09-07T09:49:39.9766174Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm90 2025-09-07T09:49:39.9766603Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T09:49:39.9766830Z HOSTNAME=f71ad610b58a 2025-09-07T09:49:39.9767202Z GITHUB_PATH=/home/bob/_work/_temp/_runner_file_commands/add_path_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:39.9767602Z GITHUB_ACTION=__run_2 2025-09-07T09:49:39.9767809Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T09:49:39.9768047Z GITHUB_RUN_NUMBER=662 2025-09-07T09:49:39.9768270Z TEST_CONFIG=inductor_torchbench_perf_cuda_h100 2025-09-07T09:49:39.9768556Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T09:49:39.9768826Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T09:49:39.9769079Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T09:49:39.9769394Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T09:49:39.9769643Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T09:49:39.9769887Z GITHUB_REF_TYPE=branch 2025-09-07T09:49:39.9770084Z TORCH_CUDA_ARCH_LIST=9.0 2025-09-07T09:49:39.9770326Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:39.9770589Z XLA_CUDA= 2025-09-07T09:49:39.9770762Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T09:49:39.9771085Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T09:49:39.9771367Z *** 2025-09-07T09:49:39.9771538Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T09:49:39.9771762Z GITHUB_ACTIONS=true 2025-09-07T09:49:39.9771966Z NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T09:49:39.9772250Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T09:49:39.9772564Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:39.9772853Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:39.9773383Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-h100.yml@refs/heads/main 2025-09-07T09:49:39.9774049Z UCC_HOME=/usr 2025-09-07T09:49:39.9774240Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T09:49:39.9774455Z VERBOSE_TEST_LOGS=False 2025-09-07T09:49:39.9774665Z GITHUB_REF=refs/heads/main 2025-09-07T09:49:39.9774880Z SHARD_NUMBER=7 2025-09-07T09:49:39.9775065Z GITHUB_REF_PROTECTED=true 2025-09-07T09:49:39.9775267Z HOME=/var/lib/jenkins 2025-09-07T09:49:39.9775467Z SCCACHE_SERVER_PORT=5228 2025-09-07T09:49:39.9775700Z GITHUB_API_URL=https://api.github.com 2025-09-07T09:49:39.9775971Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T09:49:39.9776239Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-09-07T09:49:39.9776509Z USE_SYSTEM_NCCL=1 2025-09-07T09:49:39.9776691Z NUM_TEST_SHARDS=9 2025-09-07T09:49:39.9776873Z UCX_HOME=/usr 2025-09-07T09:49:39.9777244Z GITHUB_STATE=/home/bob/_work/_temp/_runner_file_commands/save_state_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:39.9777825Z JOB_NAME=test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T09:49:40.5336081Z GITHUB_ENV=/home/bob/_work/_temp/_runner_file_commands/set_env_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:40.5336614Z GITHUB_EVENT_PATH=/home/bob/_work/_temp/_github_workflow/event.json 2025-09-07T09:49:40.5336950Z GITHUB_EVENT_NAME=schedule 2025-09-07T09:49:40.5337970Z 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 2025-09-07T09:49:40.5339019Z GITHUB_RUN_ID=17525296438 2025-09-07T09:49:40.5339237Z INSTALLED_OPENBLAS= 2025-09-07T09:49:40.5339665Z GITHUB_STEP_SUMMARY=/home/bob/_work/_temp/_runner_file_commands/step_summary_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:40.5340151Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T09:49:40.5340367Z PR_NUMBER= 2025-09-07T09:49:40.5340542Z DESIRED_CUDA=12.8.1 2025-09-07T09:49:40.5340789Z GITHUB_RUN_ATTEMPT=1 2025-09-07T09:49:40.5340983Z VALGRIND=ON 2025-09-07T09:49:40.5341176Z ANACONDA_PYTHON_VERSION=3.10 2025-09-07T09:49:40.5341453Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T09:49:40.5341737Z TERM=vt100 2025-09-07T09:49:40.5341907Z INSTALLED_VISION=yes 2025-09-07T09:49:40.5342088Z BRANCH=main 2025-09-07T09:49:40.5342263Z SCCACHE_REGION=us-east-1 2025-09-07T09:49:40.5342479Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T09:49:40.5342702Z CUDA_PATH=/usr/local/cuda 2025-09-07T09:49:40.5343038Z GITHUB_ACTION_PATH=/home/bob/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T09:49:40.5343436Z GITHUB_SERVER_URL=https://github.com 2025-09-07T09:49:40.5344105Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-09-07T09:49:40.5344385Z REENABLED_ISSUES= 2025-09-07T09:49:40.5344555Z DOCS= 2025-09-07T09:49:40.5344710Z SHLVL=1 2025-09-07T09:49:40.5344866Z MAX_JOBS=22 2025-09-07T09:49:40.5345036Z GITHUB_ACTOR_ID=97764156 2025-09-07T09:49:40.5345304Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:49:40.5345606Z GITHUB_REF_NAME=main 2025-09-07T09:49:40.5345925Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T09:49:40.5346269Z GITHUB_JOB=test 2025-09-07T09:49:40.5346440Z NO_TEST_TIMEOUT=False 2025-09-07T09:49:40.5346637Z TD_DISTRIBUTED=False 2025-09-07T09:49:40.5346846Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T09:49:40.5347087Z GITHUB_RETENTION_DAYS=90 2025-09-07T09:49:40.5347288Z OPENSSL_DIR=/opt/openssl 2025-09-07T09:49:40.5347495Z GITHUB_ACTION_REPOSITORY= 2025-09-07T09:49:40.5348114Z 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 2025-09-07T09:49:40.5348745Z GITHUB_BASE_REF= 2025-09-07T09:49:40.5348926Z INSTALLED_ACL= 2025-09-07T09:49:40.5349285Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853 2025-09-07T09:49:40.5349670Z CI=true 2025-09-07T09:49:40.5349830Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T09:49:40.5350061Z RUST_LOG=sccache::server=error 2025-09-07T09:49:40.5350263Z JOB_ID=49775781853 2025-09-07T09:49:40.5350429Z GITHUB_HEAD_REF= 2025-09-07T09:49:40.5350587Z GITHUB_ACTION_REF= 2025-09-07T09:49:40.5350787Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T09:49:40.5351043Z TEST_SHOWLOCALS=False 2025-09-07T09:49:40.5351251Z GITHUB_WORKFLOW=inductor-perf-nightly-h100 2025-09-07T09:49:40.5351495Z DEBIAN_FRONTEND=noninteractive 2025-09-07T09:49:40.5351858Z GITHUB_OUTPUT=/home/bob/_work/_temp/_runner_file_commands/set_output_6793079e-93e3-4b7b-9527-49491c2514ef 2025-09-07T09:49:40.5352245Z NO_TD=False 2025-09-07T09:49:40.5352412Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T09:49:40.5352631Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T09:49:40.5352852Z _=/usr/bin/env 2025-09-07T09:49:40.5353013Z + echo 'Testing pytorch' 2025-09-07T09:49:40.5353196Z Testing pytorch 2025-09-07T09:49:40.5353368Z + export LANG=C.UTF-8 2025-09-07T09:49:40.5353535Z + LANG=C.UTF-8 2025-09-07T09:49:40.5353689Z + PR_NUMBER= 2025-09-07T09:49:40.5354226Z + [[ inductor_torchbench_perf_cuda_h100 == \d\e\f\a\u\l\t ]] 2025-09-07T09:49:40.5354684Z + [[ inductor_torchbench_perf_cuda_h100 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T09:49:40.5354995Z + [[ inductor_torchbench_perf_cuda_h100 == \s\l\o\w ]] 2025-09-07T09:49:40.5355317Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *slow-gradcheck* ]] 2025-09-07T09:49:40.5355643Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:49:40.5355920Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:49:40.5356166Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-09-07T09:49:40.5356419Z + [[ inductor_torchbench_perf_cuda_h100 == *crossref* ]] 2025-09-07T09:49:40.5356702Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:49:40.5357058Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *xpu* ]] 2025-09-07T09:49:40.5357364Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T09:49:40.5357620Z + pip_install ninja==1.10.2 2025-09-07T09:49:40.5357885Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:49:40.5358239Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T09:49:43.7877698Z Collecting ninja==1.10.2 2025-09-07T09:49:43.8245315Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T09:49:45.7510438Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T09:49:48.6950397Z Installing collected packages: ninja 2025-09-07T09:49:48.6950775Z Attempting uninstall: ninja 2025-09-07T09:49:48.6959806Z Found existing installation: ninja 1.11.1.3 2025-09-07T09:49:48.6980803Z Uninstalling ninja-1.11.1.3: 2025-09-07T09:49:51.3600958Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T09:49:52.6888638Z Successfully installed ninja-1.10.2 2025-09-07T09:49:52.7591900Z + 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 2025-09-07T09:49:52.7593456Z + 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 2025-09-07T09:49:52.7594869Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T09:49:52.7595377Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *asan* ]] 2025-09-07T09:49:52.7595722Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-debug* ]] 2025-09-07T09:49:52.7596056Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 != *-bazel-* ]] 2025-09-07T09:49:52.7596504Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass' 2025-09-07T09:49:52.7597126Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm90. Expect the assertion to pass 2025-09-07T09:49:52.7599431Z + cd test 2025-09-07T09:49:52.7599717Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T09:49:53.2609724Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:49:53.2610778Z import pynvml # type: ignore[import] 2025-09-07T09:49:54.5497607Z + [[ inductor_torchbench_perf_cuda_h100 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T09:49:54.5498097Z + [[ inductor_torchbench_perf_cuda_h100 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T09:49:54.5498561Z + [[ inductor_torchbench_perf_cuda_h100 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T09:49:54.5499999Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T09:49:54.5500689Z + [[ inductor_torchbench_perf_cuda_h100 == *pr_time_benchmarks* ]] 2025-09-07T09:49:54.5501116Z + [[ inductor_torchbench_perf_cuda_h100 == *dynamo_eager* ]] 2025-09-07T09:49:54.5501463Z + [[ inductor_torchbench_perf_cuda_h100 == *aot_eager* ]] 2025-09-07T09:49:54.5502587Z + [[ inductor_torchbench_perf_cuda_h100 == *aot_inductor* ]] 2025-09-07T09:49:54.5502977Z + [[ inductor_torchbench_perf_cuda_h100 == *max_autotune_inductor* ]] 2025-09-07T09:49:54.5503343Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor* ]] 2025-09-07T09:49:54.5503660Z + [[ inductor_torchbench_perf_cuda_h100 != *perf* ]] 2025-09-07T09:49:54.5505620Z + [[ inductor_torchbench_perf_cuda_h100 == *dynamic* ]] 2025-09-07T09:49:54.5505944Z + [[ inductor_torchbench_perf_cuda_h100 == *cpu* ]] 2025-09-07T09:49:54.5506267Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-09-07T09:49:54.5519978Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T09:49:54.5520360Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *-bazel-* ]] 2025-09-07T09:49:54.5522921Z + cd test 2025-09-07T09:49:54.5523330Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T09:49:55.0511475Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:49:55.0512609Z import pynvml # type: ignore[import] 2025-09-07T09:49:56.2238109Z PyTorch built with: 2025-09-07T09:49:56.2238412Z - GCC 9.5 2025-09-07T09:49:56.2238627Z - C++ Version: 201703 2025-09-07T09:49:56.2239160Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:49:56.2239809Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:49:56.2240227Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:49:56.2240543Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T09:49:56.2240845Z - NNPACK is enabled 2025-09-07T09:49:56.2241089Z - CPU capability usage: AVX2 2025-09-07T09:49:56.2241338Z - CUDA Runtime 12.8 2025-09-07T09:49:56.2241644Z - NVCC architecture flags: -gencode;arch=compute_90,code=sm_90 2025-09-07T09:49:56.2242038Z - CuDNN 90.8 2025-09-07T09:49:56.2246561Z - 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, 2025-09-07T09:49:56.2250860Z 2025-09-07T09:49:56.7249993Z + cd test 2025-09-07T09:49:56.7250361Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T09:49:57.2166147Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:49:57.2167240Z import pynvml # type: ignore[import] 2025-09-07T09:49:57.9502672Z ATen/Parallel: 2025-09-07T09:49:57.9503018Z at::get_num_threads() : 24 2025-09-07T09:49:57.9503325Z at::get_num_interop_threads() : 96 2025-09-07T09:49:57.9503607Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T09:49:57.9504707Z omp_get_max_threads() : 24 2025-09-07T09:49:57.9505561Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T09:49:57.9506105Z mkl_get_max_threads() : 24 2025-09-07T09:49:57.9506445Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T09:49:57.9520286Z std::thread::hardware_concurrency() : 192 2025-09-07T09:49:57.9520605Z Environment variables: 2025-09-07T09:49:57.9520823Z OMP_NUM_THREADS : [not set] 2025-09-07T09:49:57.9521042Z MKL_NUM_THREADS : [not set] 2025-09-07T09:49:57.9521268Z ATen parallel backend: OpenMP 2025-09-07T09:49:57.9521411Z 2025-09-07T09:49:58.2171120Z + [[ inductor_torchbench_perf_cuda_h100 == *numpy_2* ]] 2025-09-07T09:49:58.2171554Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *aarch64* ]] 2025-09-07T09:49:58.2171943Z + [[ inductor_torchbench_perf_cuda_h100 == *backward* ]] 2025-09-07T09:49:58.2172293Z + [[ inductor_torchbench_perf_cuda_h100 == *xla* ]] 2025-09-07T09:49:58.2172662Z + [[ inductor_torchbench_perf_cuda_h100 == *vllm* ]] 2025-09-07T09:49:58.2173021Z + [[ inductor_torchbench_perf_cuda_h100 == *executorch* ]] 2025-09-07T09:49:58.2173414Z + [[ inductor_torchbench_perf_cuda_h100 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T09:49:58.2174224Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *libtorch* ]] 2025-09-07T09:49:58.2174605Z + [[ inductor_torchbench_perf_cuda_h100 == distributed ]] 2025-09-07T09:49:58.2174990Z + [[ inductor_torchbench_perf_cuda_h100 == *operator_benchmark* ]] 2025-09-07T09:49:58.2175421Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor_distributed* ]] 2025-09-07T09:49:58.2175829Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor-halide* ]] 2025-09-07T09:49:58.2176234Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor-triton-cpu* ]] 2025-09-07T09:49:58.2176658Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor-micro-benchmark* ]] 2025-09-07T09:49:58.2177047Z + [[ inductor_torchbench_perf_cuda_h100 == *huggingface* ]] 2025-09-07T09:49:58.2177383Z + [[ inductor_torchbench_perf_cuda_h100 == *timm* ]] 2025-09-07T09:49:58.2177689Z + [[ inductor_torchbench_perf_cuda_h100 == cachebench ]] 2025-09-07T09:49:58.2178040Z + [[ inductor_torchbench_perf_cuda_h100 == verify_cachebench ]] 2025-09-07T09:49:58.2178392Z + [[ inductor_torchbench_perf_cuda_h100 == *torchbench* ]] 2025-09-07T09:49:58.2178676Z + install_torchaudio 2025-09-07T09:49:58.2178879Z + local commit 2025-09-07T09:49:58.2179069Z ++ get_pinned_commit audio 2025-09-07T09:49:58.2179296Z ++ cat .github/ci_commit_pins/audio.txt 2025-09-07T09:49:58.2192101Z + commit=2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T09:49:58.2192612Z + pip_build_and_install git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 dist/audio 2025-09-07T09:49:58.2193252Z + local build_target=git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T09:49:58.2193664Z + local wheel_dir=dist/audio 2025-09-07T09:49:58.2194044Z + local found_whl=0 2025-09-07T09:49:58.2194245Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:49:58.2194565Z + [[ -f dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:49:58.2194884Z + found_whl=1 2025-09-07T09:49:58.2195048Z + break 2025-09-07T09:49:58.2195208Z + '[' 1 == 0 ']' 2025-09-07T09:49:58.2195375Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:49:58.2195709Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:49:58.2196158Z + args=('dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:49:58.2196471Z + local args 2025-09-07T09:49:58.2196735Z + [[ dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:49:58.2197191Z + for path in "${args[@]}" 2025-09-07T09:49:58.2197518Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:49:58.2197986Z Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:49:58.2199174Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:49:58.5658762Z Processing ./dist/audio/torchaudio-2.8.0a0+2e30055-cp310-cp310-linux_x86_64.whl 2025-09-07T09:49:58.5718153Z Installing collected packages: torchaudio 2025-09-07T09:49:59.4226910Z Successfully installed torchaudio-2.8.0a0+2e30055 2025-09-07T09:49:59.4526384Z + install_torchvision 2025-09-07T09:49:59.4526628Z + local orig_preload 2025-09-07T09:49:59.4526844Z + local commit 2025-09-07T09:49:59.4530659Z ++ get_pinned_commit vision 2025-09-07T09:49:59.4530936Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T09:49:59.4547602Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:49:59.4547935Z + orig_preload= 2025-09-07T09:49:59.4548153Z + '[' -n '' ']' 2025-09-07T09:49:59.4548427Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *cuda* ]] 2025-09-07T09:49:59.4548769Z + export FORCE_CUDA=1 2025-09-07T09:49:59.4549009Z + FORCE_CUDA=1 2025-09-07T09:49:59.4549226Z + export WITH_CUDA=1 2025-09-07T09:49:59.4549449Z + WITH_CUDA=1 2025-09-07T09:49:59.4549960Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T09:49:59.4550752Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T09:49:59.4551254Z + local wheel_dir=dist/vision 2025-09-07T09:49:59.4551514Z + local found_whl=0 2025-09-07T09:49:59.4551738Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:49:59.4552154Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:49:59.4552559Z + found_whl=1 2025-09-07T09:49:59.4552745Z + break 2025-09-07T09:49:59.4552916Z + '[' 1 == 0 ']' 2025-09-07T09:49:59.4553119Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:49:59.4553548Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:49:59.4554559Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:49:59.4554970Z + local args 2025-09-07T09:49:59.4555346Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:49:59.4555789Z + for path in "${args[@]}" 2025-09-07T09:49:59.4556161Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:49:59.4556707Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:49:59.4557426Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:49:59.8015387Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-09-07T09:49:59.8105344Z Installing collected packages: torchvision 2025-09-07T09:50:01.1344324Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T09:50:01.1700599Z + '[' -n '' ']' 2025-09-07T09:50:01.1700841Z + id=6 2025-09-07T09:50:01.1701120Z + pip_install opencv-python==4.8.0.74 2025-09-07T09:50:01.1701529Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:50:01.1701992Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-09-07T09:50:02.6459661Z Collecting opencv-python==4.8.0.74 2025-09-07T09:50:02.6876382Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-09-07T09:50:04.1028982Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-09-07T09:50:04.1154235Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-09-07T09:50:08.3889379Z Installing collected packages: opencv-python 2025-09-07T09:50:08.3889756Z Attempting uninstall: opencv-python 2025-09-07T09:50:08.3900007Z Found existing installation: opencv-python 4.11.0.86 2025-09-07T09:50:08.3987868Z Uninstalling opencv-python-4.11.0.86: 2025-09-07T09:50:12.7902708Z Successfully uninstalled opencv-python-4.11.0.86 2025-09-07T09:50:14.6766872Z Successfully installed opencv-python-4.8.0.74 2025-09-07T09:50:14.7655463Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor_torchbench_smoketest_perf* ]] 2025-09-07T09:50:14.7661681Z + [[ inductor_torchbench_perf_cuda_h100 == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-09-07T09:50:14.7662180Z + [[ inductor_torchbench_perf_cuda_h100 == *torchbench_gcp_smoketest* ]] 2025-09-07T09:50:14.7662560Z + [[ inductor_torchbench_perf_cuda_h100 != *cpu* ]] 2025-09-07T09:50:14.7662845Z + install_torchrec_and_fbgemm 2025-09-07T09:50:14.7663084Z + local torchrec_commit 2025-09-07T09:50:14.7663295Z ++ get_pinned_commit torchrec 2025-09-07T09:50:14.7663534Z ++ cat .github/ci_commit_pins/torchrec.txt 2025-09-07T09:50:14.7678831Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-09-07T09:50:14.7679131Z + local fbgemm_commit 2025-09-07T09:50:14.7684380Z ++ get_pinned_commit fbgemm 2025-09-07T09:50:14.7684669Z ++ cat .github/ci_commit_pins/fbgemm.txt 2025-09-07T09:50:14.7702947Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd 2025-09-07T09:50:14.7703369Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:50:14.7703884Z + pip_uninstall torchrec-nightly 2025-09-07T09:50:14.7704205Z + pip3 uninstall -y torchrec-nightly 2025-09-07T09:50:15.1259865Z WARNING: Skipping torchrec-nightly as it is not installed. 2025-09-07T09:50:15.1617186Z + pip_uninstall fbgemm-gpu-nightly 2025-09-07T09:50:15.1617540Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-09-07T09:50:15.5181258Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-09-07T09:50:15.5546684Z + pip_install setuptools-git-versioning scikit-build pyre-extensions 2025-09-07T09:50:15.5547237Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T09:50:15.5547817Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions 2025-09-07T09:50:15.8949091Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0) 2025-09-07T09:50:15.8950243Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1) 2025-09-07T09:50:15.8952520Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32) 2025-09-07T09:50:15.8963859Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (25.0) 2025-09-07T09:50:15.8967814Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (80.9.0) 2025-09-07T09:50:15.8973237Z Requirement already satisfied: tomli>=2.0.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (2.2.1) 2025-09-07T09:50:15.9015936Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0) 2025-09-07T09:50:15.9023886Z Requirement already satisfied: wheel>=0.32.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (0.45.1) 2025-09-07T09:50:15.9030982Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0) 2025-09-07T09:50:15.9034599Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.15.0) 2025-09-07T09:50:15.9111018Z Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from typing-inspect->pyre-extensions) (1.1.0) 2025-09-07T09:50:16.8157592Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm90 == *rocm* ]] 2025-09-07T09:50:16.8158309Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec 2025-09-07T09:50:16.8159583Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-09-07T09:50:16.8160332Z + local wheel_dir=dist/torchrec 2025-09-07T09:50:16.8160600Z + local found_whl=0 2025-09-07T09:50:16.8160836Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:50:16.8161172Z + [[ -f dist/torchrec/torchrec-0.3.2-py3-none-any.whl ]] 2025-09-07T09:50:16.8161557Z + found_whl=1 2025-09-07T09:50:16.8161797Z + break 2025-09-07T09:50:16.8161970Z + '[' 1 == 0 ']' 2025-09-07T09:50:16.8162184Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:50:16.8162518Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:50:16.8162921Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl') 2025-09-07T09:50:16.8163229Z + local args 2025-09-07T09:50:16.8163483Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]] 2025-09-07T09:50:16.8164059Z + for path in "${args[@]}" 2025-09-07T09:50:16.8164377Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl' 2025-09-07T09:50:16.8164811Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:50:16.8165307Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:50:17.1600214Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-09-07T09:50:17.1658446Z Installing collected packages: torchrec 2025-09-07T09:50:17.9807299Z Successfully installed torchrec-0.3.2 2025-09-07T09:50:18.0120465Z + pip_build_and_install git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu dist/fbgemm_gpu 2025-09-07T09:50:18.0121527Z + local build_target=git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu 2025-09-07T09:50:18.0122257Z + local wheel_dir=dist/fbgemm_gpu 2025-09-07T09:50:18.0122511Z + local found_whl=0 2025-09-07T09:50:18.0122727Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:50:18.0123115Z + [[ -f dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl ]] 2025-09-07T09:50:18.0123521Z + found_whl=1 2025-09-07T09:50:18.0123853Z + break 2025-09-07T09:50:18.0124043Z + '[' 1 == 0 ']' 2025-09-07T09:50:18.0124244Z + for file in "${wheel_dir}"/*.whl 2025-09-07T09:50:18.0124656Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:50:18.0125209Z + args=('dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl') 2025-09-07T09:50:18.0125591Z + local args 2025-09-07T09:50:18.0125908Z + [[ dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-09-07T09:50:18.0126313Z + for path in "${args[@]}" 2025-09-07T09:50:18.0126705Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl' 2025-09-07T09:50:18.0127291Z Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:50:18.0127945Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:50:18.3556994Z Processing ./dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-09-07T09:50:18.4541108Z Installing collected packages: fbgemm-gpu 2025-09-07T09:50:20.4195843Z Successfully installed fbgemm-gpu-0.4.1.post421 2025-09-07T09:50:20.4483271Z + PYTHONPATH=/torchbench 2025-09-07T09:50:20.4483534Z + test_dynamo_benchmark torchbench 6 2025-09-07T09:50:20.4489464Z ++ pwd 2025-09-07T09:50:20.4492264Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:50:20.4492627Z + local suite=torchbench 2025-09-07T09:50:20.4492854Z + shift 2025-09-07T09:50:20.4493028Z + local shard_id=6 2025-09-07T09:50:20.4493211Z + shift 2025-09-07T09:50:20.4493451Z + [[ inductor_torchbench_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T09:50:20.4493924Z + [[ inductor_torchbench_perf_cuda_h100 == *perf* ]] 2025-09-07T09:50:20.4494229Z + [[ inductor_torchbench_perf_cuda_h100 == *b200* ]] 2025-09-07T09:50:20.4494556Z + test_single_dynamo_benchmark dashboard torchbench 6 2025-09-07T09:50:20.4497855Z ++ pwd 2025-09-07T09:50:20.4500769Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:50:20.4501189Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:50:20.4522738Z + local name=dashboard 2025-09-07T09:50:20.4522952Z + shift 2025-09-07T09:50:20.4523137Z + local suite=torchbench 2025-09-07T09:50:20.4523354Z + shift 2025-09-07T09:50:20.4523534Z + local shard_id=6 2025-09-07T09:50:20.4523855Z + shift 2025-09-07T09:50:20.4524050Z + partition_flags=() 2025-09-07T09:50:20.4524276Z + local partition_flags 2025-09-07T09:50:20.4524484Z + [[ -n 9 ]] 2025-09-07T09:50:20.4524660Z + [[ -n 6 ]] 2025-09-07T09:50:20.4524999Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T09:50:20.4525482Z + [[ inductor_torchbench_perf_cuda_h100 == *perf_compare* ]] 2025-09-07T09:50:20.4525846Z + [[ inductor_torchbench_perf_cuda_h100 == *perf* ]] 2025-09-07T09:50:20.4526313Z + test_perf_for_dashboard torchbench --device cuda --total-partitions 9 --partition-id 6 2025-09-07T09:50:20.4528453Z ++ pwd 2025-09-07T09:50:20.4530872Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:50:20.4531277Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T09:50:20.4548700Z + local suite=torchbench 2025-09-07T09:50:20.4548898Z + shift 2025-09-07T09:50:20.4549057Z + local backend=inductor 2025-09-07T09:50:20.4549274Z + modes=() 2025-09-07T09:50:20.4549442Z + local modes 2025-09-07T09:50:20.4550455Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *training-true* ]] 2025-09-07T09:50:20.4551558Z + modes+=(training) 2025-09-07T09:50:20.4552805Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *inference-true* ]] 2025-09-07T09:50:20.4554090Z + modes+=(inference) 2025-09-07T09:50:20.4554308Z + targets=('accuracy' 'performance') 2025-09-07T09:50:20.4554558Z + local targets 2025-09-07T09:50:20.4554745Z + local device=cuda 2025-09-07T09:50:20.4554962Z + [[ inductor_torchbench_perf_cuda_h100 == *cpu* ]] 2025-09-07T09:50:20.4555283Z + [[ inductor_torchbench_perf_cuda_h100 == *cuda_a10g* ]] 2025-09-07T09:50:20.4555603Z + [[ inductor_torchbench_perf_cuda_h100 == *h100* ]] 2025-09-07T09:50:20.4555871Z + device=cuda_h100 2025-09-07T09:50:20.4556075Z + for mode in "${modes[@]}" 2025-09-07T09:50:20.4556301Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T09:50:20.4556547Z + [[ training == \t\r\a\i\n\i\n\g ]] 2025-09-07T09:50:20.4556773Z + dtype=amp 2025-09-07T09:50:20.4557038Z + for target in "${targets[@]}" 2025-09-07T09:50:20.4557267Z + target_flag=('--accuracy') 2025-09-07T09:50:20.4557477Z + local target_flag 2025-09-07T09:50:20.4557677Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T09:50:20.4557927Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T09:50:20.4558190Z + target_flag+=(--no-translation-validation) 2025-09-07T09:50:20.4559294Z + [[ 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* ]] 2025-09-07T09:50:20.4561191Z + [[ 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* ]] 2025-09-07T09:50:20.4563209Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 6 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T09:50:20.9519202Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:50:20.9520596Z import pynvml # type: ignore[import] 2025-09-07T09:50:24.1755175Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:50:24.1756228Z import pynvml # type: ignore[import] 2025-09-07T09:50:26.6047253Z 2025-09-07T09:50:29.9112463Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:50:29.9112833Z loading model: 0it [00:03, ?it/s] 2025-09-07T09:50:29.9113132Z cuda train opacus_cifar10 2025-09-07T09:50:29.9127339Z Traceback (most recent call last): 2025-09-07T09:50:29.9127929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T09:50:29.9128481Z self.model_iter_fn(model, example_inputs) 2025-09-07T09:50:29.9129081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass 2025-09-07T09:50:29.9129673Z self.grad_scaler.scale(loss).backward() 2025-09-07T09:50:29.9130207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward 2025-09-07T09:50:29.9130716Z torch.autograd.backward( 2025-09-07T09:50:29.9131248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward 2025-09-07T09:50:29.9131790Z _engine_run_backward( 2025-09-07T09:50:29.9132331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward 2025-09-07T09:50:29.9133141Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-07T09:50:29.9134125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 88, in __call__ 2025-09-07T09:50:29.9134725Z return self.hook(module, *args, **kwargs) 2025-09-07T09:50:29.9135405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 327, in capture_backprops_hook 2025-09-07T09:50:29.9136149Z activations, backprops = self.rearrange_grad_samples( 2025-09-07T09:50:29.9136870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 383, in rearrange_grad_samples 2025-09-07T09:50:29.9137469Z raise ValueError( 2025-09-07T09:50:29.9137951Z ValueError: No activations detected for , run forward after add_hooks(model) 2025-09-07T09:50:29.9138393Z 2025-09-07T09:50:29.9138576Z The above exception was the direct cause of the following exception: 2025-09-07T09:50:29.9138885Z 2025-09-07T09:50:29.9138983Z Traceback (most recent call last): 2025-09-07T09:50:29.9139402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:50:29.9139827Z ) = runner.load_model( 2025-09-07T09:50:29.9140253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T09:50:29.9140738Z self.validate_model(model, example_inputs) 2025-09-07T09:50:29.9141218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T09:50:29.9141719Z raise RuntimeError("Eager run failed") from e 2025-09-07T09:50:29.9142018Z RuntimeError: Eager run failed 2025-09-07T09:50:29.9142178Z 2025-09-07T09:50:29.9142261Z eager_fail_to_run 2025-09-07T09:50:31.6582702Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:50:31.6584411Z import pynvml # type: ignore[import] 2025-09-07T09:50:34.0980195Z 2025-09-07T09:50:35.4210865Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:50:35.4211193Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:50:35.4211493Z cuda train phlippe_densenet 2025-09-07T09:51:00.8115042Z pass 2025-09-07T09:51:04.2749572Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:51:04.2750655Z import pynvml # type: ignore[import] 2025-09-07T09:51:06.6807325Z 2025-09-07T09:51:08.2521710Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:51:08.2522276Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:51:08.2522753Z cuda train phlippe_resnet 2025-09-07T09:51:17.2102712Z pass 2025-09-07T09:51:20.2272423Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:51:20.2274850Z import pynvml # type: ignore[import] 2025-09-07T09:51:22.6453304Z 2025-09-07T09:51:24.7864953Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:51:24.7865345Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:51:24.7865674Z cuda train pytorch_CycleGAN_and_pix2pix 2025-09-07T09:51:43.8711041Z W0907 09:51:43.870000 3043 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:51:50.9440595Z pass 2025-09-07T09:51:54.2988076Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:51:54.2989339Z import pynvml # type: ignore[import] 2025-09-07T09:51:56.7784988Z 2025-09-07T09:51:58.7802795Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:51:58.7803181Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:51:58.7803498Z cuda train pytorch_stargan 2025-09-07T09:52:10.7697690Z pass 2025-09-07T09:52:13.9453462Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:52:13.9455820Z import pynvml # type: ignore[import] 2025-09-07T09:52:16.4292118Z 2025-09-07T09:52:18.2400575Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:52:18.2400981Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:52:18.2401294Z cuda train pytorch_unet 2025-09-07T09:52:43.2356196Z W0907 09:52:43.234000 4927 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:52:52.8638662Z pass_due_to_skip 2025-09-07T09:52:56.6841030Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:52:56.6842287Z import pynvml # type: ignore[import] 2025-09-07T09:52:59.1144381Z 2025-09-07T09:53:00.0245518Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet152-394f9c45.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet152-394f9c45.pth 2025-09-07T09:53:00.0505223Z 2025-09-07T09:53:00.0505233Z 2025-09-07T09:53:00.1507911Z 0% 0.00/230M [00:00 will be ignored 2025-09-07T09:55:04.1313403Z pass 2025-09-07T09:55:12.0365701Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:55:12.0366780Z import pynvml # type: ignore[import] 2025-09-07T09:55:14.4579101Z 2025-09-07T09:55:14.8407501Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth 2025-09-07T09:55:14.8569386Z 2025-09-07T09:55:14.8569540Z 2025-09-07T09:55:14.9571909Z 0% 0.00/44.7M [00:00, run forward after add_hooks(model) 2025-09-07T09:55:40.5152719Z 2025-09-07T09:55:40.5152912Z The above exception was the direct cause of the following exception: 2025-09-07T09:55:40.5153190Z 2025-09-07T09:55:40.5153296Z Traceback (most recent call last): 2025-09-07T09:55:40.5153958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T09:55:40.5154392Z ) = runner.load_model( 2025-09-07T09:55:40.5154778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T09:55:40.5155174Z self.validate_model(model, example_inputs) 2025-09-07T09:55:40.5155569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T09:55:40.5155969Z raise RuntimeError("Eager run failed") from e 2025-09-07T09:55:40.5156220Z RuntimeError: Eager run failed 2025-09-07T09:55:40.5156352Z 2025-09-07T09:55:40.5156423Z eager_fail_to_run 2025-09-07T09:55:42.1679860Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:55:42.1680892Z import pynvml # type: ignore[import] 2025-09-07T09:55:44.5923585Z 2025-09-07T09:55:45.6580251Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:55:45.6580768Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:55:45.6581232Z cuda train phlippe_densenet 2025-09-07T09:56:09.3379170Z pass 2025-09-07T09:56:12.8291051Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:56:12.8292071Z import pynvml # type: ignore[import] 2025-09-07T09:56:15.2573461Z 2025-09-07T09:56:16.0857120Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:56:16.0857536Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:56:16.0857901Z cuda train phlippe_resnet 2025-09-07T09:56:25.0686562Z pass 2025-09-07T09:56:28.1731018Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:56:28.1732181Z import pynvml # type: ignore[import] 2025-09-07T09:56:30.6023046Z 2025-09-07T09:56:31.8507711Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:56:31.8508057Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:56:31.8508391Z cuda train pytorch_CycleGAN_and_pix2pix 2025-09-07T09:56:49.5845557Z W0907 09:56:49.583000 11364 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:56:55.3774843Z pass 2025-09-07T09:56:58.7892543Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:56:58.7893605Z import pynvml # type: ignore[import] 2025-09-07T09:57:01.2306608Z 2025-09-07T09:57:02.5203449Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:57:02.5204107Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:57:02.5204456Z cuda train pytorch_stargan 2025-09-07T09:57:14.6933165Z pass 2025-09-07T09:57:17.8401984Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:57:17.8403010Z import pynvml # type: ignore[import] 2025-09-07T09:57:20.2864094Z 2025-09-07T09:57:21.2869526Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:57:21.2869872Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:57:21.2870349Z cuda train pytorch_unet 2025-09-07T09:57:41.6397743Z W0907 09:57:41.638000 11878 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T09:57:49.9283128Z pass_due_to_skip 2025-09-07T09:57:53.6627533Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T09:57:53.6628560Z import pynvml # type: ignore[import] 2025-09-07T09:57:56.1184315Z 2025-09-07T09:57:58.6856597Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:57:58.6856976Z loading model: 0it [00:02, ?it/s] 2025-09-07T09:57:58.6857282Z cuda train resnet152 2025-09-07T09:58:52.2298771Z W0907 09:58:52.228000 12112 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:00:05.0022095Z pass 2025-09-07T10:00:12.0588723Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:00:12.0589950Z import pynvml # type: ignore[import] 2025-09-07T10:00:14.4975725Z 2025-09-07T10:00:15.8765228Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:00:15.8765572Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:00:15.8765883Z cuda train resnet18 2025-09-07T10:00:28.6743278Z pass 2025-09-07T10:00:31.6104225Z accuracy pass_rate=75.00% 2025-09-07T10:00:31.6116118Z calls_captured gmean=0.00x mean=511.125x 2025-09-07T10:00:31.6119715Z unique_graphs gmean=0.00x mean=2.125x 2025-09-07T10:00:31.6122871Z graph_breaks gmean=0.00x mean=5.625x 2025-09-07T10:00:31.6126536Z unique_graph_breaks gmean=0.00x mean=4.375x 2025-09-07T10:00:31.6129659Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:00:31.6132749Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:00:31.6136253Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:00:31.6137117Z compilation_latency mean=27.806 seconds 2025-09-07T10:00:32.3957645Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *dynamic-true* ]] 2025-09-07T10:00:32.3959624Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --dynamic-shapes --dynamic-batch-only --device cuda --total-partitions 9 --partition-id 6 --output /var/lib/jenkins/workspace/test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:00:32.8981853Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:00:32.8982840Z import pynvml # type: ignore[import] 2025-09-07T10:00:36.0989775Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:00:36.0990758Z import pynvml # type: ignore[import] 2025-09-07T10:00:38.5366560Z 2025-09-07T10:00:39.7870083Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:00:39.7870450Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:00:39.7870758Z cuda train opacus_cifar10 2025-09-07T10:00:39.7885689Z Traceback (most recent call last): 2025-09-07T10:00:39.7886122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T10:00:39.7886580Z self.model_iter_fn(model, example_inputs) 2025-09-07T10:00:39.7887067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass 2025-09-07T10:00:39.7887578Z self.grad_scaler.scale(loss).backward() 2025-09-07T10:00:39.7888006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward 2025-09-07T10:00:39.7888436Z torch.autograd.backward( 2025-09-07T10:00:39.7888916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward 2025-09-07T10:00:39.7889418Z _engine_run_backward( 2025-09-07T10:00:39.7889914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward 2025-09-07T10:00:39.7890664Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-07T10:00:39.7891377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 88, in __call__ 2025-09-07T10:00:39.7891897Z return self.hook(module, *args, **kwargs) 2025-09-07T10:00:39.7893030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 327, in capture_backprops_hook 2025-09-07T10:00:39.7894304Z activations, backprops = self.rearrange_grad_samples( 2025-09-07T10:00:39.7894990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 383, in rearrange_grad_samples 2025-09-07T10:00:39.7895596Z raise ValueError( 2025-09-07T10:00:39.7896099Z ValueError: No activations detected for , run forward after add_hooks(model) 2025-09-07T10:00:39.7896557Z 2025-09-07T10:00:39.7896740Z The above exception was the direct cause of the following exception: 2025-09-07T10:00:39.7897025Z 2025-09-07T10:00:39.7897123Z Traceback (most recent call last): 2025-09-07T10:00:39.7897535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T10:00:39.7897958Z ) = runner.load_model( 2025-09-07T10:00:39.7898378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T10:00:39.7898867Z self.validate_model(model, example_inputs) 2025-09-07T10:00:39.7899353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T10:00:39.7899770Z raise RuntimeError("Eager run failed") from e 2025-09-07T10:00:39.7900026Z RuntimeError: Eager run failed 2025-09-07T10:00:39.7900159Z 2025-09-07T10:00:39.7900224Z eager_fail_to_run 2025-09-07T10:00:41.4750212Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:00:41.4751209Z import pynvml # type: ignore[import] 2025-09-07T10:00:43.9195281Z 2025-09-07T10:00:44.9805860Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:00:44.9806206Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:00:44.9806534Z cuda train phlippe_densenet 2025-09-07T10:00:55.1506181Z pass 2025-09-07T10:00:58.1576342Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:00:58.1577382Z import pynvml # type: ignore[import] 2025-09-07T10:01:00.5791408Z 2025-09-07T10:01:01.4138304Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:01.4138807Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:01.4139335Z cuda train phlippe_resnet 2025-09-07T10:01:06.7674954Z pass 2025-09-07T10:01:10.1047962Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:01:10.1049035Z import pynvml # type: ignore[import] 2025-09-07T10:01:12.5277515Z 2025-09-07T10:01:13.7700632Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:13.7701161Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:01:13.7701675Z cuda train pytorch_CycleGAN_and_pix2pix 2025-09-07T10:01:18.1963277Z W0907 10:01:18.195000 13369 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:01:19.3687598Z pass 2025-09-07T10:01:22.3315815Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:01:22.3316870Z import pynvml # type: ignore[import] 2025-09-07T10:01:24.7691945Z 2025-09-07T10:01:26.1344644Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:26.1346041Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:01:26.1346486Z cuda train pytorch_stargan 2025-09-07T10:01:34.2076587Z pass 2025-09-07T10:01:37.4848801Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:01:37.4849954Z import pynvml # type: ignore[import] 2025-09-07T10:01:40.1414095Z 2025-09-07T10:01:41.1446497Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:41.1446861Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:01:41.1447193Z cuda train pytorch_unet 2025-09-07T10:01:48.4789492Z W0907 10:01:48.478000 13829 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:01:50.3264469Z pass_due_to_skip 2025-09-07T10:01:53.3200724Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:01:53.3201809Z import pynvml # type: ignore[import] 2025-09-07T10:01:55.8017043Z 2025-09-07T10:01:58.3878761Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:01:58.3879142Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:01:58.3879459Z cuda train resnet152 2025-09-07T10:02:11.6941461Z W0907 10:02:11.693000 14074 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:02:23.8957626Z pass 2025-09-07T10:02:27.5980269Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:02:27.5981324Z import pynvml # type: ignore[import] 2025-09-07T10:02:30.0736764Z 2025-09-07T10:02:31.5451507Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:02:31.5451846Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:02:31.5452141Z cuda train resnet18 2025-09-07T10:02:37.2791485Z pass 2025-09-07T10:02:40.1350925Z accuracy pass_rate=75.00% 2025-09-07T10:02:40.1363055Z calls_captured gmean=0.00x mean=511.125x 2025-09-07T10:02:40.1367030Z unique_graphs gmean=0.00x mean=2.125x 2025-09-07T10:02:40.1370195Z graph_breaks gmean=0.00x mean=5.625x 2025-09-07T10:02:40.1373275Z unique_graph_breaks gmean=0.00x mean=4.375x 2025-09-07T10:02:40.1376909Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:02:40.1380026Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:02:40.1383155Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:02:40.1384288Z compilation_latency mean=6.986 seconds 2025-09-07T10:02:40.9179230Z + [[ training-true-inference-true-default-true-dynamic-true-cudagraphs-true-cppwrapper-true-aotinductor-true-freezing_cudagraphs-true-maxautotune-true-freeze_autotune_cudagraphs-true-cudagraphs_low_precision-true == *cppwrapper-true* ]] 2025-09-07T10:02:40.9180400Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T10:02:40.9181594Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 6 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:02:41.4677550Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:02:41.4678819Z import pynvml # type: ignore[import] 2025-09-07T10:02:44.6696454Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:02:44.6697478Z import pynvml # type: ignore[import] 2025-09-07T10:02:47.1128150Z 2025-09-07T10:02:48.2448190Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:02:48.2448526Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:02:48.2448828Z cuda train opacus_cifar10 2025-09-07T10:02:48.2465542Z Traceback (most recent call last): 2025-09-07T10:02:48.2466074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T10:02:48.2466719Z self.model_iter_fn(model, example_inputs) 2025-09-07T10:02:48.2467347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass 2025-09-07T10:02:48.2467945Z self.grad_scaler.scale(loss).backward() 2025-09-07T10:02:48.2468484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward 2025-09-07T10:02:48.2469017Z torch.autograd.backward( 2025-09-07T10:02:48.2469554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward 2025-09-07T10:02:48.2470100Z _engine_run_backward( 2025-09-07T10:02:48.2470642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward 2025-09-07T10:02:48.2471451Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-07T10:02:48.2472214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 88, in __call__ 2025-09-07T10:02:48.2472784Z return self.hook(module, *args, **kwargs) 2025-09-07T10:02:48.2473467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 327, in capture_backprops_hook 2025-09-07T10:02:48.2474436Z activations, backprops = self.rearrange_grad_samples( 2025-09-07T10:02:48.2475095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 383, in rearrange_grad_samples 2025-09-07T10:02:48.2475695Z raise ValueError( 2025-09-07T10:02:48.2476184Z ValueError: No activations detected for , run forward after add_hooks(model) 2025-09-07T10:02:48.2476633Z 2025-09-07T10:02:48.2476815Z The above exception was the direct cause of the following exception: 2025-09-07T10:02:48.2477196Z 2025-09-07T10:02:48.2477292Z Traceback (most recent call last): 2025-09-07T10:02:48.2477702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T10:02:48.2478139Z ) = runner.load_model( 2025-09-07T10:02:48.2478558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T10:02:48.2479036Z self.validate_model(model, example_inputs) 2025-09-07T10:02:48.2479512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T10:02:48.2479997Z raise RuntimeError("Eager run failed") from e 2025-09-07T10:02:48.2480298Z RuntimeError: Eager run failed 2025-09-07T10:02:48.2480456Z 2025-09-07T10:02:48.2480532Z eager_fail_to_run 2025-09-07T10:02:49.9326875Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:02:49.9328039Z import pynvml # type: ignore[import] 2025-09-07T10:02:52.3583619Z 2025-09-07T10:02:53.4158725Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:02:53.4159338Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:02:53.4159844Z cuda train phlippe_densenet 2025-09-07T10:03:42.5310864Z pass 2025-09-07T10:03:46.2871861Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:03:46.2872880Z import pynvml # type: ignore[import] 2025-09-07T10:03:48.7357961Z 2025-09-07T10:03:49.5709761Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:03:49.5710267Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:03:49.5710728Z cuda train phlippe_resnet 2025-09-07T10:04:07.0505128Z pass 2025-09-07T10:04:10.1950776Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:04:10.1951806Z import pynvml # type: ignore[import] 2025-09-07T10:04:12.6224196Z 2025-09-07T10:04:13.9062617Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:04:13.9062950Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:04:13.9063261Z cuda train pytorch_CycleGAN_and_pix2pix 2025-09-07T10:04:41.8167173Z W0907 10:04:41.816000 16177 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:04:50.4484121Z pass 2025-09-07T10:04:54.3852651Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:04:54.3854067Z import pynvml # type: ignore[import] 2025-09-07T10:04:56.8225050Z 2025-09-07T10:04:58.1086860Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:04:58.1087362Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:04:58.1087808Z cuda train pytorch_stargan 2025-09-07T10:05:18.7036287Z pass 2025-09-07T10:05:21.8929501Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:05:21.8930532Z import pynvml # type: ignore[import] 2025-09-07T10:05:24.3288061Z 2025-09-07T10:05:25.3292622Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:05:25.3292946Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:05:25.3293240Z cuda train pytorch_unet 2025-09-07T10:06:01.7272770Z W0907 10:06:01.726000 17767 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:06:14.7175741Z pass_due_to_skip 2025-09-07T10:06:18.8170850Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:06:18.8172962Z import pynvml # type: ignore[import] 2025-09-07T10:06:21.2387288Z 2025-09-07T10:06:23.7919546Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:06:23.7920118Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:06:23.7920597Z cuda train resnet152 2025-09-07T10:08:17.9329053Z W0907 10:08:17.932000 18427 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:10:01.0265366Z pass 2025-09-07T10:10:10.3541250Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:10:10.3543004Z import pynvml # type: ignore[import] 2025-09-07T10:10:12.7955783Z 2025-09-07T10:10:14.1885087Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:10:14.1885457Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:10:14.1885766Z cuda train resnet18 2025-09-07T10:10:35.1347585Z pass 2025-09-07T10:10:38.0189692Z accuracy pass_rate=75.00% 2025-09-07T10:10:38.0194823Z calls_captured gmean=0.00x mean=511.125x 2025-09-07T10:10:38.0198962Z unique_graphs gmean=0.00x mean=2.125x 2025-09-07T10:10:38.0201470Z graph_breaks gmean=0.00x mean=5.625x 2025-09-07T10:10:38.0212069Z unique_graph_breaks gmean=0.00x mean=4.375x 2025-09-07T10:10:38.0215682Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:10:38.0218738Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:10:38.0221893Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:10:38.0223048Z compilation_latency mean=50.222 seconds 2025-09-07T10:10:38.8178497Z + [[ 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* ]] 2025-09-07T10:10:38.8179893Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:10:38.8181156Z + [[ 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* ]] 2025-09-07T10:10:38.8182402Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:10:38.8183633Z + [[ 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* ]] 2025-09-07T10:10:38.8185253Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:10:38.8186442Z + [[ 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* ]] 2025-09-07T10:10:38.8187650Z + TORCHINDUCTOR_MAX_AUTOTUNE=1 2025-09-07T10:10:38.8188804Z + python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --training --amp --backend inductor --device cuda --total-partitions 9 --partition-id 6 --output /var/lib/jenkins/workspace/test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.csv 2025-09-07T10:10:39.3221568Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:10:39.3222592Z import pynvml # type: ignore[import] 2025-09-07T10:10:42.5169100Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:10:42.5170192Z import pynvml # type: ignore[import] 2025-09-07T10:10:44.9621675Z 2025-09-07T10:10:46.1112057Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:10:46.1112418Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:10:46.1112740Z cuda train opacus_cifar10 2025-09-07T10:10:46.1127826Z Traceback (most recent call last): 2025-09-07T10:10:46.1129028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T10:10:46.1129496Z self.model_iter_fn(model, example_inputs) 2025-09-07T10:10:46.1130045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass 2025-09-07T10:10:46.1130592Z self.grad_scaler.scale(loss).backward() 2025-09-07T10:10:46.1131086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward 2025-09-07T10:10:46.1131567Z torch.autograd.backward( 2025-09-07T10:10:46.1132049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward 2025-09-07T10:10:46.1132569Z _engine_run_backward( 2025-09-07T10:10:46.1133080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward 2025-09-07T10:10:46.1134002Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-07T10:10:46.1134752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 88, in __call__ 2025-09-07T10:10:46.1135269Z return self.hook(module, *args, **kwargs) 2025-09-07T10:10:46.1135890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 327, in capture_backprops_hook 2025-09-07T10:10:46.1136558Z activations, backprops = self.rearrange_grad_samples( 2025-09-07T10:10:46.1137213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 383, in rearrange_grad_samples 2025-09-07T10:10:46.1137821Z raise ValueError( 2025-09-07T10:10:46.1138304Z ValueError: No activations detected for , run forward after add_hooks(model) 2025-09-07T10:10:46.1138752Z 2025-09-07T10:10:46.1138935Z The above exception was the direct cause of the following exception: 2025-09-07T10:10:46.1139220Z 2025-09-07T10:10:46.1139316Z Traceback (most recent call last): 2025-09-07T10:10:46.1139726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T10:10:46.1140134Z ) = runner.load_model( 2025-09-07T10:10:46.1140571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T10:10:46.1141058Z self.validate_model(model, example_inputs) 2025-09-07T10:10:46.1141467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T10:10:46.1141869Z raise RuntimeError("Eager run failed") from e 2025-09-07T10:10:46.1142111Z RuntimeError: Eager run failed 2025-09-07T10:10:46.1142257Z 2025-09-07T10:10:46.1142322Z eager_fail_to_run 2025-09-07T10:10:47.7884486Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:10:47.7885585Z import pynvml # type: ignore[import] 2025-09-07T10:10:50.2237510Z 2025-09-07T10:10:51.3490808Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:10:51.3491090Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:10:51.3491361Z cuda train phlippe_densenet 2025-09-07T10:11:06.8713498Z Autotune Choices Stats: 2025-09-07T10:11:06.8715906Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_0", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=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": 0.007872000336647034, "best_triton_pos": 0} 2025-09-07T10:11:06.8718203Z AUTOTUNE convolution(4x3x32x32, 32x3x3x3) 2025-09-07T10:11:06.8718786Z strides: [3072, 1024, 32, 1], [27, 9, 3, 1] 2025-09-07T10:11:06.8719106Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:06.8720588Z triton_convolution2d_0 0.0079 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:06.8721617Z triton_convolution2d_4 0.0080 ms 98.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:11:06.8722615Z triton_convolution2d_3 0.0081 ms 97.6% 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 2025-09-07T10:11:06.8723598Z triton_convolution2d_5 0.0087 ms 90.8% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:11:06.8724385Z convolution 0.0092 ms 85.1% 2025-09-07T10:11:06.8724977Z triton_convolution2d_1 0.0099 ms 79.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:06.8725963Z triton_convolution2d_2 0.0135 ms 58.3% 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 2025-09-07T10:11:06.8726769Z SingleProcess AUTOTUNE benchmarking takes 0.0870 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:11:07.3856273Z Autotune Choices Stats: 2025-09-07T10:11:07.3857390Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_11", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.006111999973654747, "best_triton_pos": 0} 2025-09-07T10:11:07.3861375Z AUTOTUNE convolution(4x32x32x32, 32x32x1x1) 2025-09-07T10:11:07.3861716Z strides: [32768, 1024, 32, 1], [32, 1, 1, 1] 2025-09-07T10:11:07.3862015Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:07.3862837Z triton_convolution2d_11 0.0061 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:07.3864475Z triton_convolution2d_10 0.0061 ms 99.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:07.3865693Z triton_convolution2d_9 0.0064 ms 95.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:07.3866902Z triton_convolution2d_6 0.0066 ms 93.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:07.3868088Z triton_convolution2d_12 0.0066 ms 93.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:07.3868732Z convolution 0.0072 ms 85.3% 2025-09-07T10:11:07.3869353Z triton_convolution2d_7 0.0078 ms 78.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:07.3870394Z triton_convolution2d_8 0.0088 ms 69.5% 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 2025-09-07T10:11:07.3871555Z conv1x1_via_mm 0.0194 ms 31.6% 2025-09-07T10:11:07.3871980Z SingleProcess AUTOTUNE benchmarking takes 0.1313 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:07.7851616Z Autotune Choices Stats: 2025-09-07T10:11:07.7852755Z {"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=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.006591999903321266, "best_triton_pos": 0} 2025-09-07T10:11:07.7857547Z AUTOTUNE convolution(4x48x32x32, 32x48x1x1) 2025-09-07T10:11:07.7857953Z strides: [49152, 1024, 32, 1], [48, 1, 1, 1] 2025-09-07T10:11:07.7858249Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:07.7859029Z triton_convolution2d_24 0.0066 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:07.7860216Z triton_convolution2d_23 0.0069 ms 95.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:07.7861355Z triton_convolution2d_22 0.0069 ms 95.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:07.7862044Z convolution 0.0069 ms 94.9% 2025-09-07T10:11:07.7862710Z triton_convolution2d_19 0.0073 ms 90.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:07.7863974Z triton_convolution2d_25 0.0078 ms 84.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:07.7865109Z triton_convolution2d_20 0.0083 ms 79.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:07.7866235Z triton_convolution2d_21 0.0090 ms 73.3% 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 2025-09-07T10:11:07.7866931Z conv1x1_via_mm 0.0176 ms 37.5% 2025-09-07T10:11:07.7867369Z SingleProcess AUTOTUNE benchmarking takes 0.1303 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:07.9432509Z Autotune Choices Stats: 2025-09-07T10:11:07.9433622Z {"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=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.006943999789655209, "best_triton_pos": 0} 2025-09-07T10:11:07.9439213Z AUTOTUNE convolution(4x64x32x32, 32x64x1x1) 2025-09-07T10:11:07.9439515Z strides: [65536, 1024, 32, 1], [64, 1, 1, 1] 2025-09-07T10:11:07.9439764Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:07.9440424Z triton_convolution2d_36 0.0069 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:07.9441092Z convolution 0.0071 ms 97.3% 2025-09-07T10:11:07.9441731Z triton_convolution2d_37 0.0074 ms 94.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:07.9443198Z triton_convolution2d_35 0.0075 ms 92.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:07.9444642Z triton_convolution2d_32 0.0081 ms 85.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:07.9445678Z triton_convolution2d_38 0.0082 ms 84.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:07.9446723Z triton_convolution2d_33 0.0094 ms 73.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:07.9447785Z triton_convolution2d_34 0.0110 ms 63.3% 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 2025-09-07T10:11:07.9448440Z conv1x1_via_mm 0.0179 ms 38.8% 2025-09-07T10:11:07.9448859Z SingleProcess AUTOTUNE benchmarking takes 0.1279 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:08.1008991Z Autotune Choices Stats: 2025-09-07T10:11:08.1010139Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_50", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.007519999984651804, "best_triton_pos": 0} 2025-09-07T10:11:08.1015317Z AUTOTUNE convolution(4x80x32x32, 32x80x1x1) 2025-09-07T10:11:08.1015646Z strides: [81920, 1024, 32, 1], [80, 1, 1, 1] 2025-09-07T10:11:08.1015938Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:08.1016743Z triton_convolution2d_50 0.0075 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.1017537Z convolution 0.0076 ms 98.3% 2025-09-07T10:11:08.1018254Z triton_convolution2d_49 0.0079 ms 95.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.1019406Z triton_convolution2d_48 0.0083 ms 90.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.1020519Z triton_convolution2d_45 0.0086 ms 87.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.1021637Z triton_convolution2d_51 0.0090 ms 83.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.1022750Z triton_convolution2d_46 0.0102 ms 73.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.1024452Z triton_convolution2d_47 0.0120 ms 62.8% 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 2025-09-07T10:11:08.1025154Z conv1x1_via_mm 0.0198 ms 38.0% 2025-09-07T10:11:08.1025588Z SingleProcess AUTOTUNE benchmarking takes 0.1276 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:08.2578733Z Autotune Choices Stats: 2025-09-07T10:11:08.2580943Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007679999805986881, "best_triton_pos": 1, "best_triton_time": 0.0077760000713169575, "best_triton_kernel": "triton_convolution2d_62", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:11:08.2585992Z AUTOTUNE convolution(4x96x32x32, 32x96x1x1) 2025-09-07T10:11:08.2586341Z strides: [98304, 1024, 32, 1], [96, 1, 1, 1] 2025-09-07T10:11:08.2586639Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:08.2586922Z convolution 0.0077 ms 100.0% 2025-09-07T10:11:08.2587709Z triton_convolution2d_62 0.0078 ms 98.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.2588957Z triton_convolution2d_63 0.0079 ms 96.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.2590081Z triton_convolution2d_61 0.0084 ms 91.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.2591215Z triton_convolution2d_64 0.0091 ms 84.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.2592333Z triton_convolution2d_58 0.0092 ms 83.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.2593447Z triton_convolution2d_59 0.0108 ms 70.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.2594906Z triton_convolution2d_60 0.0131 ms 58.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:11:08.2595599Z conv1x1_via_mm 0.0203 ms 37.9% 2025-09-07T10:11:08.2596030Z SingleProcess AUTOTUNE benchmarking takes 0.1271 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:08.4167528Z Autotune Choices Stats: 2025-09-07T10:11:08.4169073Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007903999648988247, "best_triton_pos": 1, "best_triton_time": 0.008832000195980072, "best_triton_kernel": "triton_convolution2d_76", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:08.4173242Z AUTOTUNE convolution(4x112x32x32, 32x112x1x1) 2025-09-07T10:11:08.4173560Z strides: [114688, 1024, 32, 1], [112, 1, 1, 1] 2025-09-07T10:11:08.4174017Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:08.4174279Z convolution 0.0079 ms 100.0% 2025-09-07T10:11:08.4175016Z triton_convolution2d_76 0.0088 ms 89.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.4176247Z triton_convolution2d_75 0.0090 ms 87.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.4177833Z triton_convolution2d_74 0.0093 ms 85.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.4179158Z triton_convolution2d_71 0.0095 ms 83.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.4180207Z triton_convolution2d_77 0.0101 ms 77.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.4181251Z triton_convolution2d_72 0.0115 ms 68.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.4182294Z triton_convolution2d_73 0.0142 ms 55.8% 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 2025-09-07T10:11:08.4182940Z conv1x1_via_mm 0.0193 ms 41.0% 2025-09-07T10:11:08.4183349Z SingleProcess AUTOTUNE benchmarking takes 0.1289 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:08.5761790Z Autotune Choices Stats: 2025-09-07T10:11:08.5762921Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_96", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.006624000146985054, "best_triton_pos": 0} 2025-09-07T10:11:08.5768719Z AUTOTUNE convolution(4x64x16x16, 32x64x1x1) 2025-09-07T10:11:08.5769036Z strides: [16384, 256, 16, 1], [64, 1, 1, 1] 2025-09-07T10:11:08.5769310Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:08.5770096Z triton_convolution2d_96 0.0066 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.5771351Z triton_convolution2d_95 0.0068 ms 97.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.5772569Z triton_convolution2d_94 0.0069 ms 96.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.5773315Z convolution 0.0073 ms 90.4% 2025-09-07T10:11:08.5774192Z triton_convolution2d_91 0.0076 ms 87.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.5775407Z triton_convolution2d_97 0.0078 ms 84.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.5776633Z triton_convolution2d_92 0.0089 ms 74.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.5777859Z triton_convolution2d_93 0.0110 ms 60.3% 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 2025-09-07T10:11:08.5778616Z conv1x1_via_mm 0.0169 ms 39.1% 2025-09-07T10:11:08.5779055Z SingleProcess AUTOTUNE benchmarking takes 0.1296 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:08.9620922Z Autotune Choices Stats: 2025-09-07T10:11:08.9622731Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.006816000211983919, "best_triton_pos": 1, "best_triton_time": 0.007071999832987785, "best_triton_kernel": "triton_convolution2d_109", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:08.9627602Z AUTOTUNE convolution(4x80x16x16, 32x80x1x1) 2025-09-07T10:11:08.9627933Z strides: [20480, 256, 16, 1], [80, 1, 1, 1] 2025-09-07T10:11:08.9628235Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:08.9628500Z convolution 0.0068 ms 100.0% 2025-09-07T10:11:08.9629137Z triton_convolution2d_109 0.0071 ms 96.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.9630229Z triton_convolution2d_108 0.0074 ms 92.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.9631304Z triton_convolution2d_107 0.0077 ms 88.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.9632354Z triton_convolution2d_104 0.0079 ms 86.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.9633403Z triton_convolution2d_110 0.0083 ms 81.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:08.9634590Z triton_convolution2d_105 0.0097 ms 70.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:08.9635658Z triton_convolution2d_106 0.0120 ms 56.6% 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 2025-09-07T10:11:08.9636322Z conv1x1_via_mm 0.0190 ms 35.9% 2025-09-07T10:11:08.9636736Z SingleProcess AUTOTUNE benchmarking takes 0.1292 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:09.1191396Z Autotune Choices Stats: 2025-09-07T10:11:09.1192545Z {"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=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.007199999876320362, "best_triton_pos": 0} 2025-09-07T10:11:09.1199701Z AUTOTUNE convolution(4x96x16x16, 32x96x1x1) 2025-09-07T10:11:09.1200005Z strides: [24576, 256, 16, 1], [96, 1, 1, 1] 2025-09-07T10:11:09.1200261Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:09.1200954Z triton_convolution2d_122 0.0072 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.1201621Z convolution 0.0073 ms 98.3% 2025-09-07T10:11:09.1202246Z triton_convolution2d_121 0.0074 ms 97.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.1203302Z triton_convolution2d_120 0.0077 ms 93.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.1204896Z triton_convolution2d_123 0.0086 ms 83.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.1206146Z triton_convolution2d_117 0.0087 ms 83.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.1207192Z triton_convolution2d_118 0.0103 ms 69.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.1208254Z triton_convolution2d_119 0.0129 ms 56.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:11:09.1208895Z conv1x1_via_mm 0.0183 ms 39.3% 2025-09-07T10:11:09.1209298Z SingleProcess AUTOTUNE benchmarking takes 0.1272 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:09.2769763Z Autotune Choices Stats: 2025-09-07T10:11:09.2771159Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007296000141650438, "best_triton_pos": 1, "best_triton_time": 0.007840000092983246, "best_triton_kernel": "triton_convolution2d_135", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:09.2777408Z AUTOTUNE convolution(4x112x16x16, 32x112x1x1) 2025-09-07T10:11:09.2777751Z strides: [28672, 256, 16, 1], [112, 1, 1, 1] 2025-09-07T10:11:09.2778043Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:09.2778323Z convolution 0.0073 ms 100.0% 2025-09-07T10:11:09.2779091Z triton_convolution2d_135 0.0078 ms 93.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.2780279Z triton_convolution2d_134 0.0082 ms 89.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.2781423Z triton_convolution2d_133 0.0086 ms 85.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.2782560Z triton_convolution2d_130 0.0092 ms 79.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.2783679Z triton_convolution2d_136 0.0092 ms 78.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.2785020Z triton_convolution2d_131 0.0113 ms 64.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.2786159Z triton_convolution2d_132 0.0145 ms 50.2% 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 2025-09-07T10:11:09.2786853Z conv1x1_via_mm 0.0173 ms 42.1% 2025-09-07T10:11:09.2787299Z SingleProcess AUTOTUNE benchmarking takes 0.1278 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:09.4338865Z Autotune Choices Stats: 2025-09-07T10:11:09.4340945Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007455999962985516, "best_triton_pos": 1, "best_triton_time": 0.007903999648988247, "best_triton_kernel": "triton_convolution2d_148", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:09.4346508Z AUTOTUNE convolution(4x128x16x16, 32x128x1x1) 2025-09-07T10:11:09.4346850Z strides: [32768, 256, 16, 1], [128, 1, 1, 1] 2025-09-07T10:11:09.4347165Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:09.4347447Z convolution 0.0075 ms 100.0% 2025-09-07T10:11:09.4348229Z triton_convolution2d_148 0.0079 ms 94.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.4349339Z triton_convolution2d_147 0.0082 ms 90.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.4350432Z triton_convolution2d_146 0.0086 ms 86.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.4351503Z triton_convolution2d_149 0.0098 ms 76.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.4352550Z triton_convolution2d_143 0.0099 ms 75.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.4353589Z triton_convolution2d_144 0.0122 ms 61.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.4355040Z triton_convolution2d_145 0.0153 ms 48.8% 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 2025-09-07T10:11:09.4355702Z conv1x1_via_mm 0.0191 ms 39.0% 2025-09-07T10:11:09.4356109Z SingleProcess AUTOTUNE benchmarking takes 0.1270 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:09.6003475Z Autotune Choices Stats: 2025-09-07T10:11:09.6005385Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.006976000033318996, "best_triton_pos": 1, "best_triton_time": 0.008608000352978706, "best_triton_kernel": "triton_convolution2d_161", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:09.6012363Z AUTOTUNE convolution(4x144x16x16, 32x144x1x1) 2025-09-07T10:11:09.6012725Z strides: [36864, 256, 16, 1], [144, 1, 1, 1] 2025-09-07T10:11:09.6013026Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:09.6013304Z convolution 0.0070 ms 100.0% 2025-09-07T10:11:09.6014256Z triton_convolution2d_161 0.0086 ms 81.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.6015491Z triton_convolution2d_160 0.0087 ms 79.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.6016705Z triton_convolution2d_159 0.0092 ms 76.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.6018322Z triton_convolution2d_162 0.0103 ms 67.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.6019711Z triton_convolution2d_156 0.0104 ms 66.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.6020866Z triton_convolution2d_157 0.0128 ms 54.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.6022000Z triton_convolution2d_158 0.0164 ms 42.7% 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 2025-09-07T10:11:09.6022688Z conv1x1_via_mm 0.0180 ms 38.8% 2025-09-07T10:11:09.6023143Z SingleProcess AUTOTUNE benchmarking takes 0.1366 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:09.7624859Z Autotune Choices Stats: 2025-09-07T10:11:09.7626298Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.00684799998998642, "best_triton_pos": 1, "best_triton_time": 0.00723200011998415, "best_triton_kernel": "triton_convolution2d_181", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:09.7632052Z AUTOTUNE convolution(4x80x8x8, 32x80x1x1) 2025-09-07T10:11:09.7632351Z strides: [5120, 64, 8, 1], [80, 1, 1, 1] 2025-09-07T10:11:09.7632610Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:09.7632870Z convolution 0.0068 ms 100.0% 2025-09-07T10:11:09.7633558Z triton_convolution2d_181 0.0072 ms 94.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.7634937Z triton_convolution2d_180 0.0073 ms 93.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.7636081Z triton_convolution2d_179 0.0075 ms 91.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.7637306Z triton_convolution2d_176 0.0079 ms 87.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.7638445Z triton_convolution2d_178 0.0082 ms 83.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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 2025-09-07T10:11:09.7639544Z triton_convolution2d_182 0.0085 ms 80.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:09.7640594Z triton_convolution2d_177 0.0097 ms 70.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:09.7641242Z conv1x1_via_mm 0.0166 ms 41.3% 2025-09-07T10:11:09.7641654Z SingleProcess AUTOTUNE benchmarking takes 0.1297 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:10.1550392Z Autotune Choices Stats: 2025-09-07T10:11:10.1552289Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.00684799998998642, "best_triton_pos": 1, "best_triton_time": 0.0071680000983178616, "best_triton_kernel": "triton_convolution2d_194", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:10.1558436Z AUTOTUNE convolution(4x96x8x8, 32x96x1x1) 2025-09-07T10:11:10.1558790Z strides: [6144, 64, 8, 1], [96, 1, 1, 1] 2025-09-07T10:11:10.1559066Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:10.1559309Z convolution 0.0068 ms 100.0% 2025-09-07T10:11:10.1559973Z triton_convolution2d_194 0.0072 ms 95.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.1561064Z triton_convolution2d_193 0.0073 ms 94.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.1562151Z triton_convolution2d_192 0.0077 ms 88.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.1563217Z triton_convolution2d_189 0.0084 ms 81.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.1564447Z triton_convolution2d_195 0.0086 ms 79.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.1565523Z triton_convolution2d_191 0.0087 ms 78.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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 2025-09-07T10:11:10.1566577Z triton_convolution2d_190 0.0104 ms 66.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.1567225Z conv1x1_via_mm 0.0171 ms 40.0% 2025-09-07T10:11:10.1567637Z SingleProcess AUTOTUNE benchmarking takes 0.1327 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:10.3145450Z Autotune Choices Stats: 2025-09-07T10:11:10.3146866Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007327999919652939, "best_triton_pos": 1, "best_triton_time": 0.00774399982765317, "best_triton_kernel": "triton_convolution2d_207", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:10.3154072Z AUTOTUNE convolution(4x112x8x8, 32x112x1x1) 2025-09-07T10:11:10.3154357Z strides: [7168, 64, 8, 1], [112, 1, 1, 1] 2025-09-07T10:11:10.3154641Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:10.3154885Z convolution 0.0073 ms 100.0% 2025-09-07T10:11:10.3155567Z triton_convolution2d_207 0.0077 ms 94.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.3156708Z triton_convolution2d_206 0.0080 ms 91.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.3157945Z triton_convolution2d_205 0.0084 ms 87.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.3159357Z triton_convolution2d_202 0.0088 ms 83.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.3160603Z triton_convolution2d_208 0.0093 ms 78.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.3161669Z triton_convolution2d_204 0.0098 ms 75.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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 2025-09-07T10:11:10.3162739Z triton_convolution2d_203 0.0115 ms 63.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.3163383Z conv1x1_via_mm 0.0163 ms 45.1% 2025-09-07T10:11:10.3163937Z SingleProcess AUTOTUNE benchmarking takes 0.1294 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:10.4734154Z Autotune Choices Stats: 2025-09-07T10:11:10.4735592Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007327999919652939, "best_triton_pos": 1, "best_triton_time": 0.0074880002066493034, "best_triton_kernel": "triton_convolution2d_220", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:10.4742321Z AUTOTUNE convolution(4x128x8x8, 32x128x1x1) 2025-09-07T10:11:10.4742739Z strides: [8192, 64, 8, 1], [128, 1, 1, 1] 2025-09-07T10:11:10.4743009Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:10.4743261Z convolution 0.0073 ms 100.0% 2025-09-07T10:11:10.4744099Z triton_convolution2d_220 0.0075 ms 97.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.4745269Z triton_convolution2d_219 0.0082 ms 89.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.4746395Z triton_convolution2d_218 0.0086 ms 85.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.4747564Z triton_convolution2d_215 0.0092 ms 80.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.4748720Z triton_convolution2d_221 0.0097 ms 75.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.4749896Z triton_convolution2d_217 0.0104 ms 70.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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 2025-09-07T10:11:10.4751039Z triton_convolution2d_216 0.0124 ms 58.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.4751734Z conv1x1_via_mm 0.0172 ms 42.5% 2025-09-07T10:11:10.4752178Z SingleProcess AUTOTUNE benchmarking takes 0.1287 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:10.6334065Z Autotune Choices Stats: 2025-09-07T10:11:10.6335912Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.00687999976798892, "best_triton_pos": 1, "best_triton_time": 0.008448000065982342, "best_triton_kernel": "triton_convolution2d_233", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:10.6342467Z AUTOTUNE convolution(4x144x8x8, 32x144x1x1) 2025-09-07T10:11:10.6342861Z strides: [9216, 64, 8, 1], [144, 1, 1, 1] 2025-09-07T10:11:10.6343177Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:10.6343464Z convolution 0.0069 ms 100.0% 2025-09-07T10:11:10.6344408Z triton_convolution2d_233 0.0084 ms 81.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.6345669Z triton_convolution2d_232 0.0087 ms 79.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.6346947Z triton_convolution2d_231 0.0091 ms 75.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.6348192Z triton_convolution2d_228 0.0101 ms 67.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.6349432Z triton_convolution2d_234 0.0105 ms 65.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.6350559Z triton_convolution2d_230 0.0107 ms 64.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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 2025-09-07T10:11:10.6351684Z triton_convolution2d_229 0.0132 ms 52.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.6352395Z conv1x1_via_mm 0.0167 ms 41.2% 2025-09-07T10:11:10.6352840Z SingleProcess AUTOTUNE benchmarking takes 0.1298 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:10.7933196Z Autotune Choices Stats: 2025-09-07T10:11:10.7934997Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007519999984651804, "best_triton_pos": 1, "best_triton_time": 0.008320000022649765, "best_triton_kernel": "triton_convolution2d_246", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:10.7942120Z AUTOTUNE convolution(4x160x8x8, 32x160x1x1) 2025-09-07T10:11:10.7942405Z strides: [10240, 64, 8, 1], [160, 1, 1, 1] 2025-09-07T10:11:10.7942687Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:10.7942947Z convolution 0.0075 ms 100.0% 2025-09-07T10:11:10.7943636Z triton_convolution2d_246 0.0083 ms 90.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.7944927Z triton_convolution2d_245 0.0088 ms 85.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.7946058Z triton_convolution2d_244 0.0094 ms 79.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.7947591Z triton_convolution2d_241 0.0106 ms 70.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.7948940Z triton_convolution2d_247 0.0106 ms 70.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.7950073Z triton_convolution2d_243 0.0121 ms 62.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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 2025-09-07T10:11:10.7951207Z triton_convolution2d_242 0.0146 ms 51.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.7951892Z conv1x1_via_mm 0.0165 ms 45.5% 2025-09-07T10:11:10.7952354Z SingleProcess AUTOTUNE benchmarking takes 0.1299 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:10.9202238Z Autotune Choices Stats: 2025-09-07T10:11:10.9203617Z {"num_choices": 6, "num_triton_choices": 4, "best_kernel": "convolution", "best_time": 0.007135999854654074, "best_triton_pos": 1, "best_triton_time": 0.0074880002066493034, "best_triton_kernel": "triton_convolution2d_264", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:11:10.9211976Z AUTOTUNE convolution(4x88x4x4, 32x88x1x1) 2025-09-07T10:11:10.9212317Z strides: [1408, 16, 4, 1], [88, 1, 1, 1] 2025-09-07T10:11:10.9212615Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:10.9212892Z convolution 0.0071 ms 100.0% 2025-09-07T10:11:10.9213629Z triton_convolution2d_264 0.0075 ms 95.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.9215073Z triton_convolution2d_263 0.0075 ms 94.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:10.9216304Z triton_convolution2d_262 0.0087 ms 82.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T10:11:10.9217513Z triton_convolution2d_261 0.0090 ms 79.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:10.9218255Z conv1x1_via_mm 0.0169 ms 42.3% 2025-09-07T10:11:10.9218734Z SingleProcess AUTOTUNE benchmarking takes 0.0970 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:11:11.2725424Z Autotune Choices Stats: 2025-09-07T10:11:11.2727643Z {"num_choices": 6, "num_triton_choices": 4, "best_kernel": "convolution", "best_time": 0.006752000190317631, "best_triton_pos": 1, "best_triton_time": 0.008224000222980976, "best_triton_kernel": "triton_convolution2d_271", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:11:11.2732907Z AUTOTUNE convolution(4x104x4x4, 32x104x1x1) 2025-09-07T10:11:11.2733214Z strides: [1664, 16, 4, 1], [104, 1, 1, 1] 2025-09-07T10:11:11.2733492Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:11.2744904Z convolution 0.0068 ms 100.0% 2025-09-07T10:11:11.2745623Z triton_convolution2d_271 0.0082 ms 82.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.2747128Z triton_convolution2d_270 0.0083 ms 81.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:11.2748476Z triton_convolution2d_269 0.0093 ms 72.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T10:11:11.2749588Z triton_convolution2d_268 0.0095 ms 71.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.2750196Z conv1x1_via_mm 0.0170 ms 39.7% 2025-09-07T10:11:11.2750594Z SingleProcess AUTOTUNE benchmarking takes 0.0957 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:11:11.4011105Z Autotune Choices Stats: 2025-09-07T10:11:11.4012028Z {"num_choices": 6, "num_triton_choices": 4, "best_kernel": "triton_convolution2d_278", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.008191999979317188, "best_triton_pos": 0} 2025-09-07T10:11:11.4021373Z AUTOTUNE convolution(4x120x4x4, 32x120x1x1) 2025-09-07T10:11:11.4021636Z strides: [1920, 16, 4, 1], [120, 1, 1, 1] 2025-09-07T10:11:11.4021869Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:11.4022513Z triton_convolution2d_278 0.0082 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.4023506Z triton_convolution2d_277 0.0084 ms 97.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:11.4024764Z triton_convolution2d_276 0.0096 ms 85.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T10:11:11.4025740Z triton_convolution2d_275 0.0103 ms 79.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.4026347Z conv1x1_via_mm 0.0177 ms 46.3% 2025-09-07T10:11:11.4026562Z convolution 0.0700 ms 11.7% 2025-09-07T10:11:11.4026939Z SingleProcess AUTOTUNE benchmarking takes 0.0987 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:11:11.5271766Z Autotune Choices Stats: 2025-09-07T10:11:11.5273199Z {"num_choices": 6, "num_triton_choices": 4, "best_kernel": "convolution", "best_time": 0.006688000168651342, "best_triton_pos": 1, "best_triton_time": 0.008767999708652496, "best_triton_kernel": "triton_convolution2d_285", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:11:11.5283858Z AUTOTUNE convolution(4x136x4x4, 32x136x1x1) 2025-09-07T10:11:11.5284172Z strides: [2176, 16, 4, 1], [136, 1, 1, 1] 2025-09-07T10:11:11.5284452Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:11.5284709Z convolution 0.0067 ms 100.0% 2025-09-07T10:11:11.5285397Z triton_convolution2d_285 0.0088 ms 76.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.5286555Z triton_convolution2d_284 0.0089 ms 75.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:11.5288236Z triton_convolution2d_283 0.0105 ms 63.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T10:11:11.5289430Z triton_convolution2d_282 0.0108 ms 61.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.5290180Z conv1x1_via_mm 0.0161 ms 41.6% 2025-09-07T10:11:11.5290650Z SingleProcess AUTOTUNE benchmarking takes 0.0959 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:11:11.6546130Z Autotune Choices Stats: 2025-09-07T10:11:11.6547582Z {"num_choices": 6, "num_triton_choices": 4, "best_kernel": "convolution", "best_time": 0.007360000163316727, "best_triton_pos": 1, "best_triton_time": 0.008608000352978706, "best_triton_kernel": "triton_convolution2d_292", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:11:11.6554903Z AUTOTUNE convolution(4x152x4x4, 32x152x1x1) 2025-09-07T10:11:11.6555189Z strides: [2432, 16, 4, 1], [152, 1, 1, 1] 2025-09-07T10:11:11.6555457Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:11.6555704Z convolution 0.0074 ms 100.0% 2025-09-07T10:11:11.6556390Z triton_convolution2d_292 0.0086 ms 85.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.6557605Z triton_convolution2d_291 0.0091 ms 81.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:11.6558734Z triton_convolution2d_290 0.0110 ms 66.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T10:11:11.6559868Z triton_convolution2d_289 0.0115 ms 64.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.6560552Z conv1x1_via_mm 0.0173 ms 42.5% 2025-09-07T10:11:11.6560982Z SingleProcess AUTOTUNE benchmarking takes 0.0961 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:11:11.7804998Z Autotune Choices Stats: 2025-09-07T10:11:11.7806420Z {"num_choices": 6, "num_triton_choices": 4, "best_kernel": "convolution", "best_time": 0.007007999811321497, "best_triton_pos": 1, "best_triton_time": 0.0098879998549819, "best_triton_kernel": "triton_convolution2d_298", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8"} 2025-09-07T10:11:11.7814865Z AUTOTUNE convolution(4x168x4x4, 32x168x1x1) 2025-09-07T10:11:11.7815179Z strides: [2688, 16, 4, 1], [168, 1, 1, 1] 2025-09-07T10:11:11.7815507Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:11.7815777Z convolution 0.0070 ms 100.0% 2025-09-07T10:11:11.7816516Z triton_convolution2d_298 0.0099 ms 70.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:11.7817756Z triton_convolution2d_299 0.0102 ms 68.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.7818976Z triton_convolution2d_296 0.0118 ms 59.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:11.7820652Z triton_convolution2d_297 0.0118 ms 59.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, 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=4 2025-09-07T10:11:11.7821406Z conv1x1_via_mm 0.0177 ms 39.5% 2025-09-07T10:11:11.7821889Z SingleProcess AUTOTUNE benchmarking takes 0.0956 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:11:12.2913089Z Autotune Choices Stats: 2025-09-07T10:11:12.2914405Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_17", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.009440000168979168, "best_triton_pos": 0} 2025-09-07T10:11:12.2923139Z AUTOTUNE convolution(4x32x32x32, 16x32x3x3) 2025-09-07T10:11:12.2923442Z strides: [32768, 1024, 32, 1], [288, 9, 3, 1] 2025-09-07T10:11:12.2923854Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:12.2924533Z triton_convolution2d_17 0.0094 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.2925603Z triton_convolution2d_16 0.0102 ms 92.2% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.2926654Z triton_convolution2d_13 0.0114 ms 82.9% 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 2025-09-07T10:11:12.2927697Z triton_convolution2d_18 0.0116 ms 81.7% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.2928747Z triton_convolution2d_14 0.0166 ms 56.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:12.2929477Z convolution 0.0208 ms 45.4% 2025-09-07T10:11:12.2930192Z triton_convolution2d_15 0.0378 ms 25.0% 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 2025-09-07T10:11:12.2931174Z SingleProcess AUTOTUNE benchmarking takes 0.0854 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:11:12.4212356Z Autotune Choices Stats: 2025-09-07T10:11:12.4213998Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007296000141650438, "best_triton_pos": 1, "best_triton_time": 0.008671999908983707, "best_triton_kernel": "triton_convolution2d_89", "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=8"} 2025-09-07T10:11:12.4222711Z AUTOTUNE convolution(4x128x32x32, 64x128x1x1) 2025-09-07T10:11:12.4222999Z strides: [131072, 1024, 32, 1], [128, 1, 1, 1] 2025-09-07T10:11:12.4223246Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:12.4223485Z convolution 0.0073 ms 100.0% 2025-09-07T10:11:12.4224263Z triton_convolution2d_89 0.0087 ms 84.1% 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=8 2025-09-07T10:11:12.4225331Z triton_convolution2d_88 0.0089 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 2025-09-07T10:11:12.4226908Z triton_convolution2d_87 0.0096 ms 76.0% 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 2025-09-07T10:11:12.4227988Z triton_convolution2d_84 0.0105 ms 69.7% 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 2025-09-07T10:11:12.4229058Z triton_convolution2d_90 0.0108 ms 67.7% 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 2025-09-07T10:11:12.4230191Z triton_convolution2d_85 0.0134 ms 54.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:12.4231342Z triton_convolution2d_86 0.0145 ms 50.3% 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 2025-09-07T10:11:12.4232038Z conv1x1_via_mm 0.0206 ms 35.5% 2025-09-07T10:11:12.4232483Z SingleProcess AUTOTUNE benchmarking takes 0.1278 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:12.5069249Z Autotune Choices Stats: 2025-09-07T10:11:12.5071355Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_102", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.008608000352978706, "best_triton_pos": 0} 2025-09-07T10:11:12.5078616Z AUTOTUNE convolution(4x32x16x16, 16x32x3x3) 2025-09-07T10:11:12.5079102Z strides: [8192, 256, 16, 1], [288, 9, 3, 1] 2025-09-07T10:11:12.5079601Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:12.5080344Z triton_convolution2d_102 0.0086 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.5081418Z triton_convolution2d_101 0.0097 ms 88.5% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.5082474Z triton_convolution2d_98 0.0109 ms 78.9% 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 2025-09-07T10:11:12.5083538Z triton_convolution2d_103 0.0112 ms 77.1% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.5084761Z triton_convolution2d_99 0.0157 ms 54.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:12.5085423Z convolution 0.0197 ms 43.7% 2025-09-07T10:11:12.5086053Z triton_convolution2d_100 0.0374 ms 23.0% 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 2025-09-07T10:11:12.5086894Z SingleProcess AUTOTUNE benchmarking takes 0.0848 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:11:12.6370533Z Autotune Choices Stats: 2025-09-07T10:11:12.6372419Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007199999876320362, "best_triton_pos": 1, "best_triton_time": 0.008799999952316284, "best_triton_kernel": "triton_convolution2d_173", "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"} 2025-09-07T10:11:12.6379616Z AUTOTUNE convolution(4x160x16x16, 80x160x1x1) 2025-09-07T10:11:12.6379932Z strides: [40960, 256, 16, 1], [160, 1, 1, 1] 2025-09-07T10:11:12.6380226Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:12.6380484Z convolution 0.0072 ms 100.0% 2025-09-07T10:11:12.6381117Z triton_convolution2d_173 0.0088 ms 81.8% 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 2025-09-07T10:11:12.6382179Z triton_convolution2d_174 0.0089 ms 80.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:12.6383274Z triton_convolution2d_172 0.0110 ms 65.6% 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 2025-09-07T10:11:12.6384456Z triton_convolution2d_175 0.0111 ms 64.8% 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 2025-09-07T10:11:12.6385530Z triton_convolution2d_169 0.0115 ms 62.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:12.6386590Z triton_convolution2d_170 0.0145 ms 49.8% 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 2025-09-07T10:11:12.6387650Z triton_convolution2d_171 0.0169 ms 42.7% 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 2025-09-07T10:11:12.6388301Z conv1x1_via_mm 0.0187 ms 38.5% 2025-09-07T10:11:12.6388715Z SingleProcess AUTOTUNE benchmarking takes 0.1279 seconds and 0.0002 seconds precompiling for 9 choices 2025-09-07T10:11:12.7212047Z Autotune Choices Stats: 2025-09-07T10:11:12.7213116Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_187", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.008608000352978706, "best_triton_pos": 0} 2025-09-07T10:11:12.7221910Z AUTOTUNE convolution(4x32x8x8, 16x32x3x3) 2025-09-07T10:11:12.7222168Z strides: [2048, 64, 8, 1], [288, 9, 3, 1] 2025-09-07T10:11:12.7222407Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:12.7223090Z triton_convolution2d_187 0.0086 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.7224299Z triton_convolution2d_186 0.0096 ms 89.4% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.7225373Z triton_convolution2d_188 0.0109 ms 78.7% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.7226425Z triton_convolution2d_183 0.0110 ms 78.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:12.7227790Z triton_convolution2d_185 0.0152 ms 56.8% 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=1, num_warps=8 2025-09-07T10:11:12.7228864Z triton_convolution2d_184 0.0158 ms 54.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:12.7229563Z convolution 0.0204 ms 42.3% 2025-09-07T10:11:12.7229996Z SingleProcess AUTOTUNE benchmarking takes 0.0835 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:11:12.8520714Z Autotune Choices Stats: 2025-09-07T10:11:12.8523125Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007040000054985285, "best_triton_pos": 1, "best_triton_time": 0.009696000255644321, "best_triton_kernel": "triton_convolution2d_258", "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"} 2025-09-07T10:11:12.8532860Z AUTOTUNE convolution(4x176x8x8, 88x176x1x1) 2025-09-07T10:11:12.8533179Z strides: [11264, 64, 8, 1], [176, 1, 1, 1] 2025-09-07T10:11:12.8533472Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:12.8533907Z convolution 0.0070 ms 100.0% 2025-09-07T10:11:12.8534645Z triton_convolution2d_258 0.0097 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 2025-09-07T10:11:12.8535909Z triton_convolution2d_259 0.0108 ms 65.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:12.8537164Z triton_convolution2d_257 0.0115 ms 61.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:12.8538394Z triton_convolution2d_260 0.0119 ms 59.1% 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 2025-09-07T10:11:12.8539622Z triton_convolution2d_254 0.0121 ms 58.0% 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 2025-09-07T10:11:12.8540813Z triton_convolution2d_256 0.0124 ms 56.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, 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 2025-09-07T10:11:12.8541944Z triton_convolution2d_255 0.0162 ms 43.5% 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 2025-09-07T10:11:12.8542633Z conv1x1_via_mm 0.0166 ms 42.5% 2025-09-07T10:11:12.8543074Z SingleProcess AUTOTUNE benchmarking takes 0.1285 seconds and 0.0001 seconds precompiling for 9 choices 2025-09-07T10:11:12.9035484Z Autotune Choices Stats: 2025-09-07T10:11:12.9037383Z {"num_choices": 4, "num_triton_choices": 3, "best_kernel": "triton_convolution2d_267", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.008320000022649765, "best_triton_pos": 0} 2025-09-07T10:11:12.9044767Z AUTOTUNE convolution(4x32x4x4, 16x32x3x3) 2025-09-07T10:11:12.9045030Z strides: [512, 16, 4, 1], [288, 9, 3, 1] 2025-09-07T10:11:12.9045268Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:12.9046163Z triton_convolution2d_267 0.0083 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:11:12.9047358Z triton_convolution2d_265 0.0101 ms 82.5% 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 2025-09-07T10:11:12.9048436Z triton_convolution2d_266 0.0102 ms 81.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=4 2025-09-07T10:11:12.9049091Z convolution 0.0191 ms 43.6% 2025-09-07T10:11:12.9049567Z SingleProcess AUTOTUNE benchmarking takes 0.0507 seconds and 0.0002 seconds precompiling for 4 choices 2025-09-07T10:11:13.0720415Z Autotune Choices Stats: 2025-09-07T10:11:13.0722030Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_313", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1", "best_time": 0.006496000103652477, "best_triton_pos": 0} 2025-09-07T10:11:13.0731564Z AUTOTUNE addmm(4x10, 4x184, 184x10) 2025-09-07T10:11:13.0731859Z strides: [0, 1], [184, 1], [1, 184] 2025-09-07T10:11:13.0732152Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:11:13.0732847Z triton_mm_313 0.0065 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 2025-09-07T10:11:13.0733977Z triton_mm_306 0.0066 ms 98.5% 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=5, num_warps=1 2025-09-07T10:11:13.0734984Z triton_mm_305 0.0067 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:11:13.0735964Z triton_mm_312 0.0067 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:11:13.0736927Z triton_mm_311 0.0067 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:11:13.0737895Z triton_mm_304 0.0069 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:11:13.0738858Z triton_mm_309 0.0069 ms 93.5% 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 2025-09-07T10:11:13.0739829Z triton_mm_310 0.0072 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:11:13.0740443Z bias_addmm 0.0080 ms 81.2% 2025-09-07T10:11:13.0741033Z triton_mm_308 0.0085 ms 76.0% 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=2, num_warps=1 2025-09-07T10:11:13.0741881Z SingleProcess AUTOTUNE benchmarking takes 0.1662 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:11:21.9499994Z Autotune Choices Stats: 2025-09-07T10:11:21.9501647Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_319", "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=3, num_warps=4", "best_time": 0.00559999980032444, "best_triton_pos": 0} 2025-09-07T10:11:21.9510005Z AUTOTUNE mm(4x10, 10x184) 2025-09-07T10:11:21.9510234Z strides: [10, 1], [184, 1] 2025-09-07T10:11:21.9510852Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:21.9511704Z triton_mm_319 0.0056 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 2025-09-07T10:11:21.9512584Z triton_mm_318 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:11:21.9513425Z triton_mm_321 0.0057 ms 97.8% 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 2025-09-07T10:11:21.9514434Z triton_mm_316 0.0058 ms 97.2% 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 2025-09-07T10:11:21.9515289Z triton_mm_317 0.0058 ms 97.2% 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 2025-09-07T10:11:21.9516119Z triton_mm_323 0.0058 ms 97.2% 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 2025-09-07T10:11:21.9516947Z triton_mm_315 0.0058 ms 96.7% 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 2025-09-07T10:11:21.9517852Z triton_mm_320 0.0058 ms 96.7% 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 2025-09-07T10:11:21.9518683Z triton_mm_322 0.0058 ms 96.7% 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 2025-09-07T10:11:21.9519519Z triton_mm_324 0.0058 ms 96.7% 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=2, num_warps=8 2025-09-07T10:11:21.9520319Z SingleProcess AUTOTUNE benchmarking takes 0.1167 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:11:22.0666070Z Autotune Choices Stats: 2025-09-07T10:11:22.0666920Z {"num_choices": 13, "num_triton_choices": 12, "best_kernel": "triton_mm_328", "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": 0.005663999821990728, "best_triton_pos": 0} 2025-09-07T10:11:22.0677444Z AUTOTUNE mm(16x8, 8x184) 2025-09-07T10:11:22.0677670Z strides: [8, 1], [184, 1] 2025-09-07T10:11:22.0677905Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:22.0678468Z triton_mm_328 0.0057 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 2025-09-07T10:11:22.0679372Z triton_mm_330 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:11:22.0680249Z triton_mm_334 0.0058 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:11:22.0681099Z triton_mm_335 0.0058 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:11:22.0681957Z triton_mm_329 0.0058 ms 97.8% 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 2025-09-07T10:11:22.0682865Z triton_mm_331 0.0058 ms 97.8% 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 2025-09-07T10:11:22.0684661Z triton_mm_332 0.0058 ms 97.8% 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 2025-09-07T10:11:22.0685651Z triton_mm_333 0.0058 ms 97.8% 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 2025-09-07T10:11:22.0686619Z triton_mm_337 0.0058 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:11:22.0687580Z triton_mm_326 0.0058 ms 97.3% 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 2025-09-07T10:11:22.0688491Z SingleProcess AUTOTUNE benchmarking takes 0.1163 seconds and 0.0002 seconds precompiling for 13 choices 2025-09-07T10:11:28.7682317Z pass 2025-09-07T10:11:32.5501490Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:11:32.5502675Z import pynvml # type: ignore[import] 2025-09-07T10:11:34.9997950Z 2025-09-07T10:11:35.8513038Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:11:35.8513397Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:11:35.8514182Z cuda train phlippe_resnet 2025-09-07T10:11:42.6420969Z Autotune Choices Stats: 2025-09-07T10:11:42.6422320Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_convolution2d_0", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.007135999854654074, "best_triton_pos": 0} 2025-09-07T10:11:42.6431696Z AUTOTUNE convolution(4x3x32x32, 16x3x3x3) 2025-09-07T10:11:42.6431989Z strides: [3072, 1024, 32, 1], [27, 9, 3, 1] 2025-09-07T10:11:42.6432264Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:42.6432968Z triton_convolution2d_0 0.0071 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:42.6434210Z triton_convolution2d_3 0.0076 ms 94.1% 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 2025-09-07T10:11:42.6435297Z triton_convolution2d_1 0.0085 ms 84.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:42.6436373Z triton_convolution2d_4 0.0095 ms 75.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:11:42.6437018Z convolution 0.0098 ms 73.1% 2025-09-07T10:11:42.6437734Z triton_convolution2d_2 0.0130 ms 54.9% 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 2025-09-07T10:11:42.6438574Z SingleProcess AUTOTUNE benchmarking takes 0.0739 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:11:43.0268486Z Autotune Choices Stats: 2025-09-07T10:11:43.0270114Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_convolution2d_5", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.007648000027984381, "best_triton_pos": 0} 2025-09-07T10:11:43.0278021Z AUTOTUNE convolution(4x16x32x32, 16x16x3x3) 2025-09-07T10:11:43.0278380Z strides: [16384, 1024, 32, 1], [144, 9, 3, 1] 2025-09-07T10:11:43.0278694Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:43.0279491Z triton_convolution2d_5 0.0076 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:43.0280670Z triton_convolution2d_8 0.0083 ms 91.9% 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 2025-09-07T10:11:43.0281723Z triton_convolution2d_9 0.0109 ms 69.9% 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 2025-09-07T10:11:43.0282778Z triton_convolution2d_6 0.0113 ms 67.5% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:43.0283421Z convolution 0.0187 ms 40.9% 2025-09-07T10:11:43.0284432Z triton_convolution2d_7 0.0226 ms 33.9% 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 2025-09-07T10:11:43.0285273Z SingleProcess AUTOTUNE benchmarking takes 0.0739 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-07T10:11:43.4760454Z Autotune Choices Stats: 2025-09-07T10:11:43.4761655Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_35", "best_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=4", "best_time": 0.008031999692320824, "best_triton_pos": 0} 2025-09-07T10:11:43.4770468Z AUTOTUNE convolution(4x16x32x32, 32x16x3x3) 2025-09-07T10:11:43.4770801Z strides: [16384, 1024, 32, 1], [144, 9, 3, 1] 2025-09-07T10:11:43.4771104Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:43.4771881Z triton_convolution2d_35 0.0080 ms 100.0% 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 2025-09-07T10:11:43.4773143Z triton_convolution2d_39 0.0082 ms 98.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:11:43.4774627Z triton_convolution2d_38 0.0083 ms 96.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:11:43.4775861Z triton_convolution2d_40 0.0113 ms 71.3% 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 2025-09-07T10:11:43.4777085Z triton_convolution2d_36 0.0113 ms 71.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:43.4777828Z convolution 0.0177 ms 45.4% 2025-09-07T10:11:43.4778552Z triton_convolution2d_37 0.0491 ms 16.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:11:43.4779518Z SingleProcess AUTOTUNE benchmarking takes 0.0857 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:11:43.5984264Z Autotune Choices Stats: 2025-09-07T10:11:43.5986038Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_48", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.005824000108987093, "best_triton_pos": 0} 2025-09-07T10:11:43.5994471Z AUTOTUNE convolution(4x16x32x32, 32x16x1x1) 2025-09-07T10:11:43.5994753Z strides: [16384, 1024, 32, 1], [16, 1, 1, 1] 2025-09-07T10:11:43.5995004Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:43.5995691Z triton_convolution2d_48 0.0058 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:43.5996772Z triton_convolution2d_52 0.0058 ms 100.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:43.5997933Z triton_convolution2d_51 0.0061 ms 94.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:43.5998985Z triton_convolution2d_49 0.0065 ms 90.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:43.6000074Z triton_convolution2d_53 0.0069 ms 84.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:43.6000728Z convolution 0.0094 ms 61.9% 2025-09-07T10:11:43.6001387Z triton_convolution2d_50 0.0112 ms 52.1% 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 2025-09-07T10:11:43.6002242Z SingleProcess AUTOTUNE benchmarking takes 0.0798 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:11:43.9978665Z Autotune Choices Stats: 2025-09-07T10:11:43.9979817Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_59", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.008895999751985073, "best_triton_pos": 0} 2025-09-07T10:11:43.9989668Z AUTOTUNE convolution(4x32x16x16, 32x32x3x3) 2025-09-07T10:11:43.9989965Z strides: [8192, 256, 16, 1], [288, 9, 3, 1] 2025-09-07T10:11:43.9990254Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:43.9991011Z triton_convolution2d_59 0.0089 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:11:43.9992110Z triton_convolution2d_58 0.0096 ms 93.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:43.9993162Z triton_convolution2d_54 0.0110 ms 81.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:43.9994356Z triton_convolution2d_57 0.0112 ms 79.4% 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 2025-09-07T10:11:43.9995757Z triton_convolution2d_55 0.0154 ms 57.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:43.9997099Z triton_convolution2d_60 0.0156 ms 57.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=32, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:11:43.9997766Z convolution 0.0182 ms 48.9% 2025-09-07T10:11:43.9998404Z triton_convolution2d_56 0.0375 ms 23.7% 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 2025-09-07T10:11:43.9999252Z SingleProcess AUTOTUNE benchmarking takes 0.0975 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:11:44.4251001Z Autotune Choices Stats: 2025-09-07T10:11:44.4252196Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_87", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.009920000098645687, "best_triton_pos": 0} 2025-09-07T10:11:44.4261621Z AUTOTUNE convolution(4x32x16x16, 64x32x3x3) 2025-09-07T10:11:44.4261900Z strides: [8192, 256, 16, 1], [288, 9, 3, 1] 2025-09-07T10:11:44.4262169Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:44.4262876Z triton_convolution2d_87 0.0099 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:11:44.4264134Z triton_convolution2d_86 0.0109 ms 90.6% 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 2025-09-07T10:11:44.4265261Z triton_convolution2d_85 0.0116 ms 85.6% 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 2025-09-07T10:11:44.4266377Z triton_convolution2d_82 0.0136 ms 72.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:44.4267495Z triton_convolution2d_88 0.0154 ms 64.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:11:44.4268604Z triton_convolution2d_83 0.0171 ms 58.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:44.4269291Z convolution 0.0191 ms 51.8% 2025-09-07T10:11:44.4269952Z triton_convolution2d_84 0.0422 ms 23.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:11:44.4270846Z SingleProcess AUTOTUNE benchmarking takes 0.0958 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:11:44.7825508Z Autotune Choices Stats: 2025-09-07T10:11:44.7826642Z {"num_choices": 8, "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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8", "best_time": 0.0060800001956522465, "best_triton_pos": 0} 2025-09-07T10:11:44.7836547Z AUTOTUNE convolution(4x32x16x16, 64x32x1x1) 2025-09-07T10:11:44.7836819Z strides: [8192, 256, 16, 1], [32, 1, 1, 1] 2025-09-07T10:11:44.7837139Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:44.7838254Z triton_convolution2d_101 0.0061 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:44.7839597Z triton_convolution2d_100 0.0063 ms 96.4% 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 2025-09-07T10:11:44.7840737Z triton_convolution2d_99 0.0064 ms 95.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:11:44.7841864Z triton_convolution2d_102 0.0073 ms 83.7% 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 2025-09-07T10:11:44.7842995Z triton_convolution2d_96 0.0076 ms 80.5% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:11:44.7844403Z triton_convolution2d_97 0.0081 ms 75.1% 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 2025-09-07T10:11:44.7845529Z triton_convolution2d_98 0.0099 ms 61.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:11:44.7846217Z convolution 0.0148 ms 40.9% 2025-09-07T10:11:44.7846649Z SingleProcess AUTOTUNE benchmarking takes 0.0958 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:11:45.1850896Z Autotune Choices Stats: 2025-09-07T10:11:45.1852161Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_107", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4", "best_time": 0.014495999552309513, "best_triton_pos": 0} 2025-09-07T10:11:45.1863561Z AUTOTUNE convolution(4x64x8x8, 64x64x3x3) 2025-09-07T10:11:45.1863991Z strides: [4096, 64, 8, 1], [576, 9, 3, 1] 2025-09-07T10:11:45.1864304Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:45.1865027Z triton_convolution2d_107 0.0145 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:45.1866205Z triton_convolution2d_108 0.0149 ms 97.2% 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=8 2025-09-07T10:11:45.1867360Z triton_convolution2d_106 0.0164 ms 88.3% 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 2025-09-07T10:11:45.1868507Z triton_convolution2d_103 0.0184 ms 78.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:11:45.1869203Z convolution 0.0191 ms 75.8% 2025-09-07T10:11:45.1869877Z triton_convolution2d_105 0.0248 ms 58.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:11:45.1871025Z triton_convolution2d_109 0.0250 ms 58.1% 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 2025-09-07T10:11:45.1872535Z triton_convolution2d_104 0.0293 ms 49.4% 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 2025-09-07T10:11:45.1873570Z SingleProcess AUTOTUNE benchmarking takes 0.0973 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:11:46.3390277Z Autotune Choices Stats: 2025-09-07T10:11:46.3391783Z {"num_choices": 12, "num_triton_choices": 10, "best_kernel": "triton_mm_132", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.005760000087320805, "best_triton_pos": 0} 2025-09-07T10:11:46.3401759Z AUTOTUNE addmm(4x10, 4x64, 64x10) 2025-09-07T10:11:46.3402038Z strides: [0, 1], [64, 1], [1, 64] 2025-09-07T10:11:46.3402353Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:11:46.3403072Z triton_mm_132 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:11:46.3404424Z triton_mm_134 0.0059 ms 97.8% 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 2025-09-07T10:11:46.3405402Z triton_mm_137 0.0059 ms 97.8% 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 2025-09-07T10:11:46.3406354Z triton_mm_140 0.0059 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:11:46.3407304Z triton_mm_139 0.0061 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-07T10:11:46.3408259Z triton_mm_138 0.0061 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-07T10:11:46.3409214Z triton_mm_133 0.0062 ms 92.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-07T10:11:46.3410158Z triton_mm_136 0.0065 ms 89.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:11:46.3411111Z triton_mm_131 0.0068 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-07T10:11:46.3412060Z triton_mm_135 0.0068 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-07T10:11:46.3412803Z SingleProcess AUTOTUNE benchmarking takes 0.1517 seconds and 0.0002 seconds precompiling for 12 choices 2025-09-07T10:11:49.5281685Z Autotune Choices Stats: 2025-09-07T10:11:49.5283529Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_mm_150", "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": 0.005439999978989363, "best_triton_pos": 0} 2025-09-07T10:11:49.5294619Z AUTOTUNE mm(10x4, 4x64) 2025-09-07T10:11:49.5294868Z strides: [1, 10], [64, 1] 2025-09-07T10:11:49.5295113Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:49.5295720Z triton_mm_150 0.0054 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 2025-09-07T10:11:49.5296641Z triton_mm_152 0.0054 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 2025-09-07T10:11:49.5298333Z triton_mm_149 0.0055 ms 99.4% 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 2025-09-07T10:11:49.5299238Z triton_mm_151 0.0055 ms 99.4% 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 2025-09-07T10:11:49.5300153Z triton_mm_153 0.0055 ms 99.4% 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 2025-09-07T10:11:49.5301048Z triton_mm_154 0.0055 ms 99.4% 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 2025-09-07T10:11:49.5301936Z triton_mm_148 0.0056 ms 96.6% 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 2025-09-07T10:11:49.5302528Z mm 0.0064 ms 84.6% 2025-09-07T10:11:49.5302917Z SingleProcess AUTOTUNE benchmarking takes 0.0754 seconds and 0.0003 seconds precompiling for 8 choices 2025-09-07T10:11:50.0300985Z Autotune Choices Stats: 2025-09-07T10:11:50.0302735Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_mm_143", "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": 0.005408000200986862, "best_triton_pos": 0} 2025-09-07T10:11:50.0314185Z AUTOTUNE mm(4x10, 10x64) 2025-09-07T10:11:50.0314431Z strides: [10, 1], [64, 1] 2025-09-07T10:11:50.0314644Z dtypes: torch.float16, torch.float16 2025-09-07T10:11:50.0315216Z triton_mm_143 0.0054 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 2025-09-07T10:11:50.0316102Z triton_mm_147 0.0054 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 2025-09-07T10:11:50.0316947Z triton_mm_144 0.0054 ms 99.4% 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 2025-09-07T10:11:50.0317853Z triton_mm_145 0.0054 ms 99.4% 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 2025-09-07T10:11:50.0318685Z triton_mm_146 0.0054 ms 99.4% 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 2025-09-07T10:11:50.0319519Z triton_mm_141 0.0055 ms 98.8% 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 2025-09-07T10:11:50.0320358Z triton_mm_142 0.0055 ms 98.3% 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 2025-09-07T10:11:50.0320877Z mm 0.0071 ms 76.5% 2025-09-07T10:11:50.0321266Z SingleProcess AUTOTUNE benchmarking takes 0.0714 seconds and 0.0001 seconds precompiling for 8 choices 2025-09-07T10:11:51.9521924Z pass 2025-09-07T10:11:55.2102299Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:11:55.2103335Z import pynvml # type: ignore[import] 2025-09-07T10:11:57.6599701Z 2025-09-07T10:11:58.9584620Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:11:58.9585006Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:11:58.9586002Z cuda train pytorch_CycleGAN_and_pix2pix 2025-09-07T10:12:08.6985767Z Autotune Choices Stats: 2025-09-07T10:12:08.6987284Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.10268799960613251, "best_triton_pos": 1, "best_triton_time": 0.11091200262308121, "best_triton_kernel": "triton_convolution2d_151", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:12:08.6996610Z AUTOTUNE convolution(1x64x262x262, 3x64x7x7) 2025-09-07T10:12:08.6996895Z strides: [4393216, 68644, 262, 1], [3136, 49, 7, 1] 2025-09-07T10:12:08.6997274Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:08.6997526Z convolution 0.1027 ms 100.0% 2025-09-07T10:12:08.6998188Z triton_convolution2d_151 0.1109 ms 92.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:08.6999284Z triton_convolution2d_149 0.1218 ms 84.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:08.7000350Z triton_convolution2d_150 0.1289 ms 79.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:08.7001405Z triton_convolution2d_147 0.1810 ms 56.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:08.7002453Z triton_convolution2d_146 0.1903 ms 54.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:08.7003524Z triton_convolution2d_148 0.3525 ms 29.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:12:08.7004548Z SingleProcess AUTOTUNE benchmarking takes 0.1754 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:12:09.1525460Z Autotune Choices Stats: 2025-09-07T10:12:09.1526440Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_5", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.03542400151491165, "best_triton_pos": 0} 2025-09-07T10:12:09.1537393Z AUTOTUNE convolution(1x3x262x262, 64x3x7x7) 2025-09-07T10:12:09.1537706Z strides: [205932, 68644, 262, 1], [147, 49, 7, 1] 2025-09-07T10:12:09.1538009Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:09.1538722Z triton_convolution2d_5 0.0354 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=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:09.1539866Z triton_convolution2d_1 0.0371 ms 95.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:09.1540912Z triton_convolution2d_3 0.0524 ms 67.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:09.1541966Z triton_convolution2d_0 0.0556 ms 63.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:09.1543197Z convolution 0.0569 ms 62.2% 2025-09-07T10:12:09.1544185Z triton_convolution2d_4 0.0616 ms 57.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:09.1545252Z triton_convolution2d_2 0.0671 ms 52.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:12:09.1546092Z SingleProcess AUTOTUNE benchmarking takes 0.1006 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:12:09.2598615Z Autotune Choices Stats: 2025-09-07T10:12:09.2599721Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_9", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=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", "best_time": 0.027008000761270523, "best_triton_pos": 0} 2025-09-07T10:12:09.2613531Z AUTOTUNE convolution(1x64x256x256, 128x64x3x3) 2025-09-07T10:12:09.2614084Z strides: [4194304, 65536, 256, 1], [576, 9, 3, 1] 2025-09-07T10:12:09.2614361Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:09.2615069Z triton_convolution2d_9 0.0270 ms 100.0% 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 2025-09-07T10:12:09.2616230Z triton_convolution2d_12 0.0280 ms 96.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:09.2617393Z triton_convolution2d_11 0.0291 ms 92.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:09.2618537Z triton_convolution2d_10 0.0326 ms 82.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:09.2619659Z triton_convolution2d_6 0.0341 ms 79.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:09.2620781Z triton_convolution2d_7 0.0343 ms 78.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:09.2621467Z convolution 0.0351 ms 77.0% 2025-09-07T10:12:09.2622136Z triton_convolution2d_8 0.1176 ms 23.0% 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 2025-09-07T10:12:09.2623034Z SingleProcess AUTOTUNE benchmarking takes 0.1071 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:12:09.3967278Z Autotune Choices Stats: 2025-09-07T10:12:09.3968677Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.030112000182271004, "best_triton_pos": 1, "best_triton_time": 0.04608000069856644, "best_triton_kernel": "triton_convolution2d_17", "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"} 2025-09-07T10:12:09.3980181Z AUTOTUNE convolution(1x128x128x128, 256x128x3x3) 2025-09-07T10:12:09.3980512Z strides: [2097152, 16384, 128, 1], [1152, 9, 3, 1] 2025-09-07T10:12:09.3980799Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:09.3981053Z convolution 0.0301 ms 100.0% 2025-09-07T10:12:09.3982087Z triton_convolution2d_17 0.0461 ms 65.3% 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 2025-09-07T10:12:09.3983242Z triton_convolution2d_19 0.0482 ms 62.4% 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 2025-09-07T10:12:09.3984659Z triton_convolution2d_16 0.0496 ms 60.7% 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 2025-09-07T10:12:09.3985800Z triton_convolution2d_14 0.0618 ms 48.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:09.3986965Z triton_convolution2d_18 0.0625 ms 48.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:09.3988098Z triton_convolution2d_13 0.0903 ms 33.3% 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 2025-09-07T10:12:09.3989231Z triton_convolution2d_15 0.2293 ms 13.1% 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 2025-09-07T10:12:09.3990116Z SingleProcess AUTOTUNE benchmarking takes 0.1364 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:12:09.5642096Z Autotune Choices Stats: 2025-09-07T10:12:09.5643495Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.03177599981427193, "best_triton_pos": 1, "best_triton_time": 0.08694399893283844, "best_triton_kernel": "triton_convolution2d_26", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:12:09.5655767Z AUTOTUNE convolution(1x256x66x66, 256x256x3x3) 2025-09-07T10:12:09.5656066Z strides: [1115136, 4356, 66, 1], [2304, 9, 3, 1] 2025-09-07T10:12:09.5656332Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:09.5656591Z convolution 0.0318 ms 100.0% 2025-09-07T10:12:09.5657275Z triton_convolution2d_26 0.0869 ms 36.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:09.5658427Z triton_convolution2d_24 0.0896 ms 35.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:09.5659574Z triton_convolution2d_23 0.0910 ms 34.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:09.5660717Z triton_convolution2d_25 0.1154 ms 27.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:09.5661836Z triton_convolution2d_21 0.1182 ms 26.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:09.5663137Z triton_convolution2d_20 0.1748 ms 18.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:09.5664559Z triton_convolution2d_22 0.1835 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=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:12:09.5665461Z SingleProcess AUTOTUNE benchmarking takes 0.1668 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:12:22.5607015Z W0907 10:12:22.559000 28826 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:12:28.4458909Z pass 2025-09-07T10:12:31.9909878Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:12:31.9910939Z import pynvml # type: ignore[import] 2025-09-07T10:12:34.4385916Z 2025-09-07T10:12:35.7339755Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:12:35.7340126Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:12:35.7340454Z cuda train pytorch_stargan 2025-09-07T10:12:45.2328401Z Autotune Choices Stats: 2025-09-07T10:12:45.2329565Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_5", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.14108799397945404, "best_triton_pos": 0} 2025-09-07T10:12:45.2341476Z AUTOTUNE convolution(16x8x128x128, 64x8x7x7) 2025-09-07T10:12:45.2341770Z strides: [131072, 16384, 128, 1], [392, 49, 7, 1] 2025-09-07T10:12:45.2342036Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:45.2342748Z triton_convolution2d_5 0.1411 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:45.2344053Z triton_convolution2d_1 0.1419 ms 99.4% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:45.2344711Z convolution 0.1622 ms 87.0% 2025-09-07T10:12:45.2345340Z triton_convolution2d_3 0.1718 ms 82.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:45.2346382Z triton_convolution2d_0 0.2041 ms 69.1% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:45.2347413Z triton_convolution2d_4 0.2409 ms 58.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:45.2348493Z triton_convolution2d_2 0.3874 ms 36.4% 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 2025-09-07T10:12:45.2349330Z SingleProcess AUTOTUNE benchmarking takes 0.1986 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:12:45.7842563Z Autotune Choices Stats: 2025-09-07T10:12:45.7844399Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.09859199821949005, "best_triton_pos": 1, "best_triton_time": 0.1470080018043518, "best_triton_kernel": "triton_convolution2d_7", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:12:45.7856151Z AUTOTUNE convolution(16x64x128x128, 128x64x4x4) 2025-09-07T10:12:45.7856499Z strides: [1048576, 16384, 128, 1], [1024, 16, 4, 1] 2025-09-07T10:12:45.7856792Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:45.7857044Z convolution 0.0986 ms 100.0% 2025-09-07T10:12:45.7859478Z triton_convolution2d_7 0.1470 ms 67.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:45.7860836Z triton_convolution2d_12 0.1522 ms 64.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:45.7862212Z triton_convolution2d_9 0.1609 ms 61.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:45.7863463Z triton_convolution2d_6 0.2444 ms 40.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:45.7864922Z triton_convolution2d_10 0.2565 ms 38.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:45.7866144Z triton_convolution2d_11 0.2725 ms 36.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:45.7867368Z triton_convolution2d_8 0.7657 ms 12.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:12:45.7868356Z SingleProcess AUTOTUNE benchmarking takes 0.2324 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:12:46.2793986Z Autotune Choices Stats: 2025-09-07T10:12:46.2795459Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.06470400094985962, "best_triton_pos": 1, "best_triton_time": 0.15939199924468994, "best_triton_kernel": "triton_convolution2d_14", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:12:46.2810450Z AUTOTUNE convolution(16x128x64x64, 256x128x4x4) 2025-09-07T10:12:46.2810772Z strides: [524288, 4096, 64, 1], [2048, 16, 4, 1] 2025-09-07T10:12:46.2811082Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:46.2811348Z convolution 0.0647 ms 100.0% 2025-09-07T10:12:46.2812107Z triton_convolution2d_14 0.1594 ms 40.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:46.2813314Z triton_convolution2d_19 0.2018 ms 32.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:46.2814632Z triton_convolution2d_16 0.2283 ms 28.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:46.2815744Z triton_convolution2d_13 0.2618 ms 24.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:46.2817248Z triton_convolution2d_18 0.3324 ms 19.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:46.2818528Z triton_convolution2d_17 0.3337 ms 19.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:46.2819638Z triton_convolution2d_15 0.7707 ms 8.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=4, KERNEL_W=4, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:12:46.2820515Z SingleProcess AUTOTUNE benchmarking takes 0.2460 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:12:46.7638040Z Autotune Choices Stats: 2025-09-07T10:12:46.7640314Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.06028800085186958, "best_triton_pos": 1, "best_triton_time": 0.15376000106334686, "best_triton_kernel": "triton_convolution2d_21", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:12:46.7651712Z AUTOTUNE convolution(16x256x32x32, 256x256x3x3) 2025-09-07T10:12:46.7652029Z strides: [262144, 1024, 32, 1], [2304, 9, 3, 1] 2025-09-07T10:12:46.7652334Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:46.7652617Z convolution 0.0603 ms 100.0% 2025-09-07T10:12:46.7653340Z triton_convolution2d_21 0.1538 ms 39.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:46.7654731Z triton_convolution2d_26 0.1775 ms 34.0% 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 2025-09-07T10:12:46.7655814Z triton_convolution2d_23 0.1854 ms 32.5% 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 2025-09-07T10:12:46.7656866Z triton_convolution2d_24 0.2054 ms 29.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:46.7657914Z triton_convolution2d_20 0.2253 ms 26.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:12:46.7658988Z triton_convolution2d_25 0.2501 ms 24.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:12:46.7660053Z triton_convolution2d_22 0.5679 ms 10.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:12:46.7660886Z SingleProcess AUTOTUNE benchmarking takes 0.2315 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:12:47.3697669Z Autotune Choices Stats: 2025-09-07T10:12:47.3699990Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.297760009765625, "best_triton_pos": 1, "best_triton_time": 0.41628798842430115, "best_triton_kernel": "triton_convolution2d_109", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, 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"} 2025-09-07T10:12:47.3710873Z AUTOTUNE convolution(16x64x128x128, 3x64x7x7) 2025-09-07T10:12:47.3711629Z strides: [1048576, 16384, 128, 1], [3136, 49, 7, 1] 2025-09-07T10:12:47.3712155Z dtypes: torch.float16, torch.float16 2025-09-07T10:12:47.3712403Z convolution 0.2978 ms 100.0% 2025-09-07T10:12:47.3713064Z triton_convolution2d_109 0.4163 ms 71.5% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:12:47.3714467Z triton_convolution2d_108 0.4583 ms 65.0% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:12:47.3715544Z triton_convolution2d_107 0.4600 ms 64.7% ALLOW_TF32=False, BLOCK_K=32, 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 2025-09-07T10:12:47.3716615Z triton_convolution2d_105 0.6388 ms 46.6% 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 2025-09-07T10:12:47.3717758Z triton_convolution2d_106 0.6740 ms 44.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:12:47.3718811Z triton_convolution2d_104 0.7569 ms 39.3% 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 2025-09-07T10:12:47.3719638Z SingleProcess AUTOTUNE benchmarking takes 0.2420 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:12:52.2835034Z pass 2025-09-07T10:12:55.6014053Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:12:55.6015191Z import pynvml # type: ignore[import] 2025-09-07T10:12:58.0372816Z 2025-09-07T10:12:59.0276889Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:12:59.0277352Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:12:59.0277664Z cuda train pytorch_unet 2025-09-07T10:13:09.6908807Z Autotune Choices Stats: 2025-09-07T10:13:09.6910029Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_convolution2d_5", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8", "best_time": 0.14006400108337402, "best_triton_pos": 0} 2025-09-07T10:13:09.6922056Z AUTOTUNE convolution(2x3x640x959, 64x3x3x3) 2025-09-07T10:13:09.6922361Z strides: [1841280, 613760, 959, 1], [27, 9, 3, 1] 2025-09-07T10:13:09.6922668Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:09.6923380Z triton_convolution2d_5 0.1401 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=8 2025-09-07T10:13:09.6924735Z triton_convolution2d_3 0.1557 ms 90.0% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:09.6925796Z triton_convolution2d_0 0.1821 ms 76.9% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:09.6926847Z triton_convolution2d_1 0.1837 ms 76.2% 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 2025-09-07T10:13:09.6928531Z triton_convolution2d_4 0.2174 ms 64.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:09.6929189Z convolution 0.3158 ms 44.3% 2025-09-07T10:13:09.6929828Z triton_convolution2d_2 0.3844 ms 36.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:13:09.6930736Z SingleProcess AUTOTUNE benchmarking takes 0.2054 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:13:10.3949414Z Autotune Choices Stats: 2025-09-07T10:13:10.3950866Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.5160319805145264, "best_triton_pos": 1, "best_triton_time": 0.6555200219154358, "best_triton_kernel": "triton_convolution2d_12", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:10.3965201Z AUTOTUNE convolution(2x64x640x959, 64x64x3x3) 2025-09-07T10:13:10.3965507Z strides: [39280640, 613760, 959, 1], [576, 9, 3, 1] 2025-09-07T10:13:10.3965795Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:10.3966063Z convolution 0.5160 ms 100.0% 2025-09-07T10:13:10.3966747Z triton_convolution2d_12 0.6555 ms 78.7% 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 2025-09-07T10:13:10.3967902Z triton_convolution2d_9 0.6972 ms 74.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:10.3969037Z triton_convolution2d_7 0.7188 ms 71.8% 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 2025-09-07T10:13:10.3970195Z triton_convolution2d_10 0.7926 ms 65.1% 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 2025-09-07T10:13:10.3971398Z triton_convolution2d_11 0.8847 ms 58.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:10.3972594Z triton_convolution2d_6 0.9503 ms 54.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:10.3973961Z triton_convolution2d_8 2.0444 ms 25.2% 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 2025-09-07T10:13:10.3974936Z SingleProcess AUTOTUNE benchmarking takes 0.2923 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:10.8835590Z Autotune Choices Stats: 2025-09-07T10:13:10.8837125Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.8725119829177856, "best_triton_pos": 1, "best_triton_time": 1.3963520526885986, "best_triton_kernel": "triton_convolution2d_117", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:10.8850776Z AUTOTUNE convolution(2x128x640x959, 64x128x3x3) 2025-09-07T10:13:10.8851088Z strides: [78561280, 613760, 959, 1], [1152, 9, 3, 1] 2025-09-07T10:13:10.8851373Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:10.8852314Z convolution 0.8725 ms 100.0% 2025-09-07T10:13:10.8853043Z triton_convolution2d_117 1.3964 ms 62.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:10.8854519Z triton_convolution2d_112 1.4160 ms 61.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:10.8855670Z triton_convolution2d_114 1.4521 ms 60.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:10.8856799Z triton_convolution2d_115 1.7697 ms 49.3% 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 2025-09-07T10:13:10.8857937Z triton_convolution2d_116 1.8735 ms 46.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:10.8859058Z triton_convolution2d_111 1.9579 ms 44.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:10.8860195Z triton_convolution2d_113 4.6316 ms 18.8% 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 2025-09-07T10:13:10.8861105Z SingleProcess AUTOTUNE benchmarking takes 0.3305 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:11.3195659Z Autotune Choices Stats: 2025-09-07T10:13:11.3197204Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.20812800526618958, "best_triton_pos": 1, "best_triton_time": 0.34512001276016235, "best_triton_kernel": "triton_convolution2d_19", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:11.3210687Z AUTOTUNE convolution(2x64x320x479, 128x64x3x3) 2025-09-07T10:13:11.3211024Z strides: [9809920, 153280, 479, 1], [576, 9, 3, 1] 2025-09-07T10:13:11.3211351Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:11.3211601Z convolution 0.2081 ms 100.0% 2025-09-07T10:13:11.3212293Z triton_convolution2d_19 0.3451 ms 60.3% 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 2025-09-07T10:13:11.3213440Z triton_convolution2d_14 0.3588 ms 58.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:11.3214901Z triton_convolution2d_16 0.3690 ms 56.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:11.3216056Z triton_convolution2d_18 0.3975 ms 52.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:11.3217176Z triton_convolution2d_17 0.4100 ms 50.8% 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 2025-09-07T10:13:11.3218554Z triton_convolution2d_13 0.4284 ms 48.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:11.3219889Z triton_convolution2d_15 1.0265 ms 20.3% 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 2025-09-07T10:13:11.3220794Z SingleProcess AUTOTUNE benchmarking takes 0.2708 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:11.9389953Z Autotune Choices Stats: 2025-09-07T10:13:11.9392724Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.2985279858112335, "best_triton_pos": 1, "best_triton_time": 0.7195839881896973, "best_triton_kernel": "triton_convolution2d_26", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:11.9405138Z AUTOTUNE convolution(2x128x320x479, 128x128x3x3) 2025-09-07T10:13:11.9405484Z strides: [19619840, 153280, 479, 1], [1152, 9, 3, 1] 2025-09-07T10:13:11.9405787Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:11.9406065Z convolution 0.2985 ms 100.0% 2025-09-07T10:13:11.9406803Z triton_convolution2d_26 0.7196 ms 41.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:11.9408035Z triton_convolution2d_21 0.8003 ms 37.3% 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 2025-09-07T10:13:11.9409250Z triton_convolution2d_24 0.8790 ms 34.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:11.9410489Z triton_convolution2d_23 0.8791 ms 34.0% 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 2025-09-07T10:13:11.9411713Z triton_convolution2d_25 0.9267 ms 32.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:11.9412936Z triton_convolution2d_20 0.9908 ms 30.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:11.9414302Z triton_convolution2d_22 2.3171 ms 12.9% 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 2025-09-07T10:13:11.9415280Z SingleProcess AUTOTUNE benchmarking takes 0.2975 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:12.3852923Z Autotune Choices Stats: 2025-09-07T10:13:12.3855434Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.48396798968315125, "best_triton_pos": 1, "best_triton_time": 1.5500160455703735, "best_triton_kernel": "triton_convolution2d_103", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:12.3869183Z AUTOTUNE convolution(2x256x320x479, 128x256x3x3) 2025-09-07T10:13:12.3869473Z strides: [39239680, 153280, 479, 1], [2304, 9, 3, 1] 2025-09-07T10:13:12.3869745Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:12.3869982Z convolution 0.4840 ms 100.0% 2025-09-07T10:13:12.3871017Z triton_convolution2d_103 1.5500 ms 31.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:12.3872483Z triton_convolution2d_98 1.6959 ms 28.5% 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 2025-09-07T10:13:12.3873565Z triton_convolution2d_100 1.7843 ms 27.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:12.3874758Z triton_convolution2d_102 1.7997 ms 26.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:12.3875767Z triton_convolution2d_101 1.9428 ms 24.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:12.3876791Z triton_convolution2d_97 1.9709 ms 24.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:12.3877890Z triton_convolution2d_99 5.6549 ms 8.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:13:12.3878690Z SingleProcess AUTOTUNE benchmarking takes 0.3404 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:12.7629890Z Autotune Choices Stats: 2025-09-07T10:13:12.7632150Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.22684800624847412, "best_triton_pos": 1, "best_triton_time": 0.3861120045185089, "best_triton_kernel": "triton_convolution2d_107", "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"} 2025-09-07T10:13:12.7645304Z AUTOTUNE convolution(2x128x320x479, 64x128x3x3) 2025-09-07T10:13:12.7645634Z strides: [19619840, 153280, 479, 1], [1152, 9, 3, 1] 2025-09-07T10:13:12.7645980Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:12.7646254Z convolution 0.2268 ms 100.0% 2025-09-07T10:13:12.7647004Z triton_convolution2d_107 0.3861 ms 58.8% 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 2025-09-07T10:13:12.7648241Z triton_convolution2d_110 0.3883 ms 58.4% 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 2025-09-07T10:13:12.7649479Z triton_convolution2d_105 0.3934 ms 57.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:12.7650697Z triton_convolution2d_108 0.4682 ms 48.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:12.7651904Z triton_convolution2d_109 0.4958 ms 45.8% 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=8 2025-09-07T10:13:12.7653053Z triton_convolution2d_104 0.5283 ms 42.9% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:12.7654736Z triton_convolution2d_106 1.2124 ms 18.7% 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 2025-09-07T10:13:12.7655655Z SingleProcess AUTOTUNE benchmarking takes 0.2745 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:13.3539472Z Autotune Choices Stats: 2025-09-07T10:13:13.3541741Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.16771200299263, "best_triton_pos": 1, "best_triton_time": 0.38707199692726135, "best_triton_kernel": "triton_convolution2d_33", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:13.3556647Z AUTOTUNE convolution(2x128x160x239, 256x128x3x3) 2025-09-07T10:13:13.3556968Z strides: [4898816, 38272, 239, 1], [1152, 9, 3, 1] 2025-09-07T10:13:13.3557314Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:13.3557550Z convolution 0.1677 ms 100.0% 2025-09-07T10:13:13.3568681Z triton_convolution2d_33 0.3871 ms 43.3% 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 2025-09-07T10:13:13.3570014Z triton_convolution2d_28 0.3913 ms 42.9% 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 2025-09-07T10:13:13.3571258Z triton_convolution2d_30 0.4652 ms 36.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:13.3572454Z triton_convolution2d_31 0.4872 ms 34.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:13.3573465Z triton_convolution2d_32 0.5916 ms 28.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:13.3574643Z triton_convolution2d_27 0.8122 ms 20.6% 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 2025-09-07T10:13:13.3575625Z triton_convolution2d_29 1.0916 ms 15.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:13:13.3576418Z SingleProcess AUTOTUNE benchmarking takes 0.2704 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:13.9679046Z Autotune Choices Stats: 2025-09-07T10:13:13.9681356Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.2194560021162033, "best_triton_pos": 1, "best_triton_time": 0.8200640082359314, "best_triton_kernel": "triton_convolution2d_35", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:13:13.9695150Z AUTOTUNE convolution(2x256x160x239, 256x256x3x3) 2025-09-07T10:13:13.9695449Z strides: [9789440, 38240, 239, 1], [2304, 9, 3, 1] 2025-09-07T10:13:13.9695709Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:13.9695945Z convolution 0.2195 ms 100.0% 2025-09-07T10:13:13.9696595Z triton_convolution2d_35 0.8201 ms 26.8% 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 2025-09-07T10:13:13.9698258Z triton_convolution2d_40 0.8352 ms 26.3% 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 2025-09-07T10:13:13.9699341Z triton_convolution2d_37 0.9298 ms 23.6% 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 2025-09-07T10:13:13.9700398Z triton_convolution2d_38 0.9852 ms 22.3% 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 2025-09-07T10:13:13.9701467Z triton_convolution2d_39 1.1939 ms 18.4% 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 2025-09-07T10:13:13.9702614Z triton_convolution2d_34 1.5919 ms 13.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:14.4276036Z triton_convolution2d_36 2.5423 ms 8.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:13:14.4277873Z SingleProcess AUTOTUNE benchmarking takes 0.2973 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:14.4278678Z Autotune Choices Stats: 2025-09-07T10:13:14.4280831Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.37353599071502686, "best_triton_pos": 1, "best_triton_time": 1.8097599744796753, "best_triton_kernel": "triton_convolution2d_84", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:13:14.4290440Z AUTOTUNE convolution(2x512x160x239, 256x512x3x3) 2025-09-07T10:13:14.4290760Z strides: [19578880, 38240, 239, 1], [4608, 9, 3, 1] 2025-09-07T10:13:14.4291063Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:14.4291327Z convolution 0.3735 ms 100.0% 2025-09-07T10:13:14.4292102Z triton_convolution2d_84 1.8098 ms 20.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:14.4293241Z triton_convolution2d_89 1.8419 ms 20.3% 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 2025-09-07T10:13:14.4294443Z triton_convolution2d_86 1.9477 ms 19.2% 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 2025-09-07T10:13:14.4295533Z triton_convolution2d_87 2.2246 ms 16.8% 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 2025-09-07T10:13:14.4296583Z triton_convolution2d_88 2.5177 ms 14.8% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:14.4297630Z triton_convolution2d_83 3.1965 ms 11.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:14.4298890Z triton_convolution2d_85 4.9982 ms 7.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:13:14.4299876Z SingleProcess AUTOTUNE benchmarking takes 0.3552 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:14.8004738Z Autotune Choices Stats: 2025-09-07T10:13:14.8006096Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.13948799669742584, "best_triton_pos": 1, "best_triton_time": 0.42640000581741333, "best_triton_kernel": "triton_convolution2d_96", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:14.8021237Z AUTOTUNE convolution(2x256x160x239, 128x256x3x3) 2025-09-07T10:13:14.8021538Z strides: [9789440, 38240, 239, 1], [2304, 9, 3, 1] 2025-09-07T10:13:14.8021870Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:14.8022236Z convolution 0.1395 ms 100.0% 2025-09-07T10:13:14.8024328Z triton_convolution2d_96 0.4264 ms 32.7% 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 2025-09-07T10:13:14.8026402Z triton_convolution2d_93 0.4744 ms 29.4% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:14.8028378Z triton_convolution2d_91 0.4817 ms 29.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:14.8030328Z triton_convolution2d_95 0.4848 ms 28.8% 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 2025-09-07T10:13:14.8032487Z triton_convolution2d_94 0.5111 ms 27.3% 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 2025-09-07T10:13:14.8034173Z triton_convolution2d_90 0.5334 ms 26.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:14.8035229Z triton_convolution2d_92 1.2952 ms 10.8% 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 2025-09-07T10:13:14.8036074Z SingleProcess AUTOTUNE benchmarking takes 0.2701 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:15.3932868Z Autotune Choices Stats: 2025-09-07T10:13:15.3934422Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.13580800592899323, "best_triton_pos": 1, "best_triton_time": 0.41305598616600037, "best_triton_kernel": "triton_convolution2d_47", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:15.3949990Z AUTOTUNE convolution(2x256x80x119, 512x256x3x3) 2025-09-07T10:13:15.3950293Z strides: [2441216, 9536, 119, 1], [2304, 9, 3, 1] 2025-09-07T10:13:15.3950569Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:15.3950822Z convolution 0.1358 ms 100.0% 2025-09-07T10:13:15.3951554Z triton_convolution2d_47 0.4131 ms 32.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:15.3953588Z triton_convolution2d_42 0.4165 ms 32.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:15.3955320Z triton_convolution2d_44 0.4651 ms 29.2% 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 2025-09-07T10:13:15.3956562Z triton_convolution2d_45 0.5439 ms 25.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:15.3957875Z triton_convolution2d_46 0.6145 ms 22.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:15.3959086Z triton_convolution2d_41 0.8103 ms 16.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:15.3960302Z triton_convolution2d_43 1.0726 ms 12.7% 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 2025-09-07T10:13:15.3961272Z SingleProcess AUTOTUNE benchmarking takes 0.2711 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:16.0036580Z Autotune Choices Stats: 2025-09-07T10:13:16.0039017Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.21094399690628052, "best_triton_pos": 1, "best_triton_time": 0.8124160170555115, "best_triton_kernel": "triton_convolution2d_54", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:16.0052626Z AUTOTUNE convolution(2x512x80x119, 512x512x3x3) 2025-09-07T10:13:16.0052979Z strides: [4874240, 9520, 119, 1], [4608, 9, 3, 1] 2025-09-07T10:13:16.0053299Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:16.0053551Z convolution 0.2109 ms 100.0% 2025-09-07T10:13:16.0054511Z triton_convolution2d_54 0.8124 ms 26.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:16.0055578Z triton_convolution2d_49 0.8994 ms 23.5% 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 2025-09-07T10:13:16.0056640Z triton_convolution2d_51 0.9274 ms 22.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:16.0057697Z triton_convolution2d_52 1.1050 ms 19.1% 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 2025-09-07T10:13:16.0058751Z triton_convolution2d_53 1.2350 ms 17.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:16.0059824Z triton_convolution2d_48 1.8166 ms 11.6% 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 2025-09-07T10:13:16.0060915Z triton_convolution2d_50 2.0050 ms 10.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:13:16.0062000Z SingleProcess AUTOTUNE benchmarking takes 0.2982 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:16.4784416Z Autotune Choices Stats: 2025-09-07T10:13:16.4786664Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.36768001317977905, "best_triton_pos": 1, "best_triton_time": 1.9472639560699463, "best_triton_kernel": "triton_convolution2d_75", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:16.4800559Z AUTOTUNE convolution(2x1024x80x119, 512x1024x3x3) 2025-09-07T10:13:16.4800849Z strides: [9748480, 9520, 119, 1], [9216, 9, 3, 1] 2025-09-07T10:13:16.4801106Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:16.4801342Z convolution 0.3677 ms 100.0% 2025-09-07T10:13:16.4802012Z triton_convolution2d_75 1.9473 ms 18.9% 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 2025-09-07T10:13:16.4803250Z triton_convolution2d_70 2.0040 ms 18.3% 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 2025-09-07T10:13:16.4804600Z triton_convolution2d_72 2.3104 ms 15.9% 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 2025-09-07T10:13:16.4805820Z triton_convolution2d_73 2.3273 ms 15.8% 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 2025-09-07T10:13:16.4807045Z triton_convolution2d_74 2.5435 ms 14.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:16.4808265Z triton_convolution2d_71 4.7349 ms 7.8% 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 2025-09-07T10:13:16.4809485Z triton_convolution2d_69 4.9620 ms 7.4% 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 2025-09-07T10:13:16.4810442Z SingleProcess AUTOTUNE benchmarking takes 0.3673 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:16.8527327Z Autotune Choices Stats: 2025-09-07T10:13:16.8528688Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.12121599912643433, "best_triton_pos": 1, "best_triton_time": 0.5018879771232605, "best_triton_kernel": "triton_convolution2d_82", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"} 2025-09-07T10:13:16.8545822Z AUTOTUNE convolution(2x512x80x119, 256x512x3x3) 2025-09-07T10:13:16.8546126Z strides: [4874240, 9520, 119, 1], [4608, 9, 3, 1] 2025-09-07T10:13:16.8546394Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:16.8546645Z convolution 0.1212 ms 100.0% 2025-09-07T10:13:16.8547290Z triton_convolution2d_82 0.5019 ms 24.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:16.8548384Z triton_convolution2d_79 0.5561 ms 21.8% 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 2025-09-07T10:13:16.8549689Z triton_convolution2d_77 0.6066 ms 20.0% 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 2025-09-07T10:13:16.8550870Z triton_convolution2d_80 0.6208 ms 19.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:16.8551913Z triton_convolution2d_81 0.7351 ms 16.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:16.8552973Z triton_convolution2d_76 1.1968 ms 10.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:16.8554403Z triton_convolution2d_78 1.2588 ms 9.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:13:16.8555254Z SingleProcess AUTOTUNE benchmarking takes 0.2711 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:17.3497759Z Autotune Choices Stats: 2025-09-07T10:13:17.3499996Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.06911999732255936, "best_triton_pos": 1, "best_triton_time": 0.08012799918651581, "best_triton_kernel": "triton_convolution2d_129", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:13:17.3515197Z AUTOTUNE convolution(2x64x640x959, 2x64x1x1) 2025-09-07T10:13:17.3515501Z strides: [39280640, 613760, 959, 1], [64, 1, 1, 1] 2025-09-07T10:13:17.3515760Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:17.3516012Z convolution 0.0691 ms 100.0% 2025-09-07T10:13:17.3516621Z triton_convolution2d_129 0.0801 ms 86.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:13:17.3517727Z triton_convolution2d_126 0.0802 ms 86.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:13:17.3518759Z triton_convolution2d_128 0.0842 ms 82.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:13:17.3519761Z triton_convolution2d_125 0.0887 ms 78.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:13:17.3520766Z triton_convolution2d_130 0.1069 ms 64.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:13:17.3521762Z triton_convolution2d_127 0.1100 ms 62.8% 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 2025-09-07T10:13:17.3522381Z conv1x1_via_mm 0.4509 ms 15.3% 2025-09-07T10:13:17.3522867Z SingleProcess AUTOTUNE benchmarking takes 0.1631 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:17.8774920Z Autotune Choices Stats: 2025-09-07T10:13:17.8776682Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.08355200290679932, "best_triton_pos": 1, "best_triton_time": 0.3158720135688782, "best_triton_kernel": "triton_convolution2d_56", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:13:17.8792577Z AUTOTUNE convolution(2x512x40x59, 512x512x3x3) 2025-09-07T10:13:17.8792879Z strides: [1212416, 2368, 59, 1], [4608, 9, 3, 1] 2025-09-07T10:13:17.8793152Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:17.8793403Z convolution 0.0836 ms 100.0% 2025-09-07T10:13:17.8794339Z triton_convolution2d_56 0.3159 ms 26.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:17.8795408Z triton_convolution2d_61 0.3397 ms 24.6% 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 2025-09-07T10:13:17.8796485Z triton_convolution2d_58 0.3645 ms 22.9% 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 2025-09-07T10:13:17.8797608Z triton_convolution2d_59 0.4069 ms 20.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:13:17.8798654Z triton_convolution2d_60 0.4657 ms 17.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:17.8799702Z triton_convolution2d_55 0.7031 ms 11.9% 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 2025-09-07T10:13:17.8800758Z triton_convolution2d_57 0.8325 ms 10.0% 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 2025-09-07T10:13:17.8801604Z SingleProcess AUTOTUNE benchmarking takes 0.2682 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:18.4615019Z Autotune Choices Stats: 2025-09-07T10:13:18.4616460Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.07436800003051758, "best_triton_pos": 1, "best_triton_time": 0.3032959997653961, "best_triton_kernel": "triton_convolution2d_63", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:13:18.4632943Z AUTOTUNE convolution(2x512x40x59, 512x512x3x3) 2025-09-07T10:13:18.4633246Z strides: [1208320, 2360, 59, 1], [4608, 9, 3, 1] 2025-09-07T10:13:18.4633547Z dtypes: torch.float16, torch.float16 2025-09-07T10:13:18.4633947Z convolution 0.0744 ms 100.0% 2025-09-07T10:13:18.4634637Z triton_convolution2d_63 0.3033 ms 24.5% 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 2025-09-07T10:13:18.4635788Z triton_convolution2d_68 0.3401 ms 21.9% 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 2025-09-07T10:13:18.4636938Z triton_convolution2d_65 0.3592 ms 20.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:18.4638491Z triton_convolution2d_66 0.3972 ms 18.7% 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 2025-09-07T10:13:18.4639814Z triton_convolution2d_67 0.4631 ms 16.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:13:18.4640946Z triton_convolution2d_62 0.7079 ms 10.5% 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 2025-09-07T10:13:18.4642072Z triton_convolution2d_64 0.8136 ms 9.1% 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 2025-09-07T10:13:18.4642968Z SingleProcess AUTOTUNE benchmarking takes 0.2663 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:13:37.2810946Z W0907 10:13:37.279000 31854 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:13:46.3278832Z pass_due_to_skip 2025-09-07T10:13:50.2148307Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:13:50.2149360Z import pynvml # type: ignore[import] 2025-09-07T10:13:52.6680193Z 2025-09-07T10:13:55.2221672Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:13:55.2222033Z loading model: 0it [00:02, ?it/s] 2025-09-07T10:13:55.2222332Z cuda train resnet152 2025-09-07T10:14:29.9657402Z Autotune Choices Stats: 2025-09-07T10:14:29.9658946Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_58", "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": 0.008671999908983707, "best_triton_pos": 0} 2025-09-07T10:14:29.9675679Z AUTOTUNE mm(12544x64, 64x256) 2025-09-07T10:14:29.9675954Z strides: [64, 1], [1, 64] 2025-09-07T10:14:29.9676170Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:29.9676735Z triton_mm_58 0.0087 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 2025-09-07T10:14:29.9677646Z triton_mm_62 0.0087 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:29.9678905Z triton_mm_59 0.0088 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:29.9680516Z triton_mm_64 0.0089 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:29.9682110Z triton_mm_60 0.0090 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:29.9683630Z triton_mm_61 0.0090 ms 96.8% 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 2025-09-07T10:14:29.9685770Z triton_mm_63 0.0090 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:29.9687321Z triton_mm_56 0.0090 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:14:29.9689610Z triton_mm_68 0.0091 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=5, num_warps=8 2025-09-07T10:14:29.9690583Z triton_mm_66 0.0092 ms 93.8% 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 2025-09-07T10:14:29.9691428Z SingleProcess AUTOTUNE benchmarking takes 0.2385 seconds and 0.0003 seconds precompiling for 20 choices 2025-09-07T10:14:31.2943986Z Autotune Choices Stats: 2025-09-07T10:14:31.2945074Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_168", "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": 0.01071999967098236, "best_triton_pos": 0} 2025-09-07T10:14:31.2964056Z AUTOTUNE mm(12544x256, 256x128) 2025-09-07T10:14:31.2964344Z strides: [256, 1], [1, 256] 2025-09-07T10:14:31.2964576Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:31.2965135Z triton_mm_168 0.0107 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 2025-09-07T10:14:31.2965937Z triton_mm_164 0.0108 ms 99.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:31.2966711Z triton_mm_175 0.0108 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:31.2967481Z triton_mm_171 0.0112 ms 96.0% 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 2025-09-07T10:14:31.2968256Z triton_mm_170 0.0114 ms 93.8% 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 2025-09-07T10:14:31.2969029Z triton_mm_166 0.0115 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 2025-09-07T10:14:31.2969790Z triton_mm_167 0.0115 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 2025-09-07T10:14:31.2970551Z triton_mm_174 0.0115 ms 93.1% 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 2025-09-07T10:14:31.2971040Z mm 0.0117 ms 91.8% 2025-09-07T10:14:31.2971516Z triton_mm_173 0.0122 ms 87.7% 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 2025-09-07T10:14:31.2972212Z SingleProcess AUTOTUNE benchmarking takes 0.2393 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:14:31.8014036Z Autotune Choices Stats: 2025-09-07T10:14:31.8015076Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_244", "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": 0.008128000423312187, "best_triton_pos": 0} 2025-09-07T10:14:31.8033349Z AUTOTUNE mm(3136x128, 128x512) 2025-09-07T10:14:31.8033596Z strides: [128, 1], [1, 128] 2025-09-07T10:14:31.8034044Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:31.8034649Z triton_mm_244 0.0081 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 2025-09-07T10:14:31.8035997Z triton_mm_246 0.0082 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:31.8037193Z triton_mm_248 0.0083 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:31.8038089Z triton_mm_249 0.0083 ms 98.1% 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 2025-09-07T10:14:31.8038971Z triton_mm_242 0.0084 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:31.8039849Z triton_mm_247 0.0084 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:31.8040736Z triton_mm_245 0.0084 ms 96.9% 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 2025-09-07T10:14:31.8041623Z triton_mm_243 0.0085 ms 95.1% 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 2025-09-07T10:14:31.8042510Z triton_mm_252 0.0088 ms 92.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:31.8043395Z triton_mm_253 0.0089 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:31.8044331Z SingleProcess AUTOTUNE benchmarking takes 0.2394 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:14:32.8071997Z Autotune Choices Stats: 2025-09-07T10:14:32.8073079Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_14", "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": 0.007519999984651804, "best_triton_pos": 0} 2025-09-07T10:14:32.8090627Z AUTOTUNE mm(12544x64, 64x64) 2025-09-07T10:14:32.8090911Z strides: [64, 1], [1, 64] 2025-09-07T10:14:32.8091162Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:32.8091814Z triton_mm_14 0.0075 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 2025-09-07T10:14:32.8092778Z triton_mm_18 0.0075 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 2025-09-07T10:14:32.8093887Z triton_mm_19 0.0076 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:32.8094858Z triton_mm_22 0.0076 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:32.8095796Z triton_mm_10 0.0076 ms 98.7% 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=5, num_warps=4 2025-09-07T10:14:32.8096763Z triton_mm_17 0.0076 ms 98.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:32.8097712Z triton_mm_20 0.0077 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:32.8098661Z triton_mm_13 0.0077 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:32.8100290Z triton_mm_15 0.0077 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:32.8101217Z triton_mm_23 0.0077 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:32.8102001Z SingleProcess AUTOTUNE benchmarking takes 0.2281 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:14:33.3046730Z Autotune Choices Stats: 2025-09-07T10:14:33.3047788Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_mm_80", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.010015999898314476, "best_triton_pos": 0} 2025-09-07T10:14:33.3065745Z AUTOTUNE mm(12544x256, 256x64) 2025-09-07T10:14:33.3066097Z strides: [256, 1], [1, 256] 2025-09-07T10:14:33.3066331Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:33.3066932Z triton_mm_80 0.0100 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 2025-09-07T10:14:33.3067825Z triton_mm_76 0.0102 ms 97.8% 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 2025-09-07T10:14:33.3068710Z triton_mm_86 0.0103 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:33.3069606Z triton_mm_70 0.0105 ms 95.7% 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 2025-09-07T10:14:33.3070448Z triton_mm_79 0.0105 ms 95.1% 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 2025-09-07T10:14:33.3070961Z mm 0.0106 ms 94.6% 2025-09-07T10:14:33.3071440Z triton_mm_78 0.0106 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:33.3072264Z triton_mm_85 0.0106 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:33.3073084Z triton_mm_83 0.0107 ms 93.4% 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 2025-09-07T10:14:33.3074123Z triton_mm_72 0.0109 ms 91.8% 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 2025-09-07T10:14:33.3074870Z SingleProcess AUTOTUNE benchmarking takes 0.2304 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:14:33.6075846Z Autotune Choices Stats: 2025-09-07T10:14:33.6077264Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.009568000212311745, "best_triton_pos": 1, "best_triton_time": 0.010432000271975994, "best_triton_kernel": "triton_mm_531", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8"} 2025-09-07T10:14:33.6098439Z AUTOTUNE mm(3136x512, 512x256) 2025-09-07T10:14:33.6098715Z strides: [512, 1], [1, 512] 2025-09-07T10:14:33.6099062Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:33.6099374Z mm 0.0096 ms 100.0% 2025-09-07T10:14:33.6100676Z triton_mm_531 0.0104 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:14:33.6101979Z triton_mm_536 0.0107 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:33.6102955Z triton_mm_535 0.0110 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 2025-09-07T10:14:33.6104207Z triton_mm_542 0.0111 ms 86.2% 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 2025-09-07T10:14:33.6105168Z triton_mm_532 0.0113 ms 84.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:33.6106128Z triton_mm_541 0.0116 ms 82.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:33.6107105Z triton_mm_525 0.0120 ms 79.9% 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 2025-09-07T10:14:33.6108071Z triton_mm_538 0.0121 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=4, num_warps=8 2025-09-07T10:14:33.6109026Z triton_mm_534 0.0124 ms 77.5% 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 2025-09-07T10:14:33.6109948Z SingleProcess AUTOTUNE benchmarking takes 0.2531 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:14:34.1122700Z Autotune Choices Stats: 2025-09-07T10:14:34.1126865Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_609", "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": 0.008287999778985977, "best_triton_pos": 0} 2025-09-07T10:14:34.1145266Z AUTOTUNE mm(784x256, 256x1024) 2025-09-07T10:14:34.1145510Z strides: [256, 1], [1, 256] 2025-09-07T10:14:34.1145746Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:34.1146352Z triton_mm_609 0.0083 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 2025-09-07T10:14:34.1146943Z mm 0.0083 ms 99.6% 2025-09-07T10:14:34.1147468Z triton_mm_613 0.0085 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:34.1148372Z triton_mm_614 0.0086 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:34.1149272Z triton_mm_616 0.0086 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:14:34.1150175Z triton_mm_612 0.0090 ms 92.5% 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 2025-09-07T10:14:34.1151053Z triton_mm_610 0.0093 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:34.1151942Z triton_mm_619 0.0094 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:34.1153291Z triton_mm_620 0.0094 ms 88.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:34.1154518Z triton_mm_611 0.0095 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:34.1155307Z SingleProcess AUTOTUNE benchmarking takes 0.2428 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:14:36.2865399Z Autotune Choices Stats: 2025-09-07T10:14:36.2866488Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_217", "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": 0.008927999995648861, "best_triton_pos": 0} 2025-09-07T10:14:36.2889944Z AUTOTUNE mm(3136x512, 512x128) 2025-09-07T10:14:36.2890207Z strides: [512, 1], [1, 512] 2025-09-07T10:14:36.2890524Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:36.2891211Z triton_mm_217 0.0089 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 2025-09-07T10:14:36.2892152Z triton_mm_221 0.0095 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:36.2892724Z mm 0.0099 ms 90.6% 2025-09-07T10:14:36.2893234Z triton_mm_216 0.0100 ms 89.7% 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 2025-09-07T10:14:36.2894292Z triton_mm_227 0.0104 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:36.2895202Z triton_mm_220 0.0104 ms 85.8% 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 2025-09-07T10:14:36.2896091Z triton_mm_212 0.0107 ms 83.8% 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 2025-09-07T10:14:36.2896967Z triton_mm_211 0.0109 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 2025-09-07T10:14:36.2897852Z triton_mm_213 0.0109 ms 81.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:36.2898730Z triton_mm_219 0.0110 ms 81.3% 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 2025-09-07T10:14:36.2899509Z SingleProcess AUTOTUNE benchmarking takes 0.7739 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:14:36.9288196Z Autotune Choices Stats: 2025-09-07T10:14:36.9289167Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2159", "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": 0.009312000125646591, "best_triton_pos": 0} 2025-09-07T10:14:36.9310516Z AUTOTUNE mm(784x1024, 1024x512) 2025-09-07T10:14:36.9310842Z strides: [1024, 1], [1, 1024] 2025-09-07T10:14:36.9311137Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:36.9311863Z triton_mm_2159 0.0093 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:36.9312514Z mm 0.0100 ms 92.7% 2025-09-07T10:14:36.9313588Z triton_mm_2163 0.0103 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:36.9315223Z triton_mm_2155 0.0119 ms 78.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:36.9316194Z triton_mm_2158 0.0121 ms 77.2% 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 2025-09-07T10:14:36.9317288Z triton_mm_2169 0.0124 ms 75.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:36.9318260Z triton_mm_2162 0.0124 ms 74.8% 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 2025-09-07T10:14:36.9319226Z triton_mm_2168 0.0138 ms 67.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:36.9320209Z triton_mm_2165 0.0139 ms 66.9% 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 2025-09-07T10:14:36.9321253Z triton_mm_2152 0.0140 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 2025-09-07T10:14:36.9322038Z SingleProcess AUTOTUNE benchmarking takes 0.2434 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:14:37.4428090Z Autotune Choices Stats: 2025-09-07T10:14:37.4429126Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_2237", "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": 0.00848000030964613, "best_triton_pos": 0} 2025-09-07T10:14:37.4453389Z AUTOTUNE mm(196x512, 512x2048) 2025-09-07T10:14:37.4453665Z strides: [512, 1], [1, 512] 2025-09-07T10:14:37.4454223Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:37.4454831Z triton_mm_2237 0.0085 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 2025-09-07T10:14:37.4455755Z triton_mm_2241 0.0091 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:37.4456320Z mm 0.0095 ms 89.2% 2025-09-07T10:14:37.4456847Z triton_mm_2236 0.0096 ms 88.0% 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 2025-09-07T10:14:37.4457734Z triton_mm_2240 0.0099 ms 85.8% 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 2025-09-07T10:14:37.4458612Z triton_mm_2232 0.0101 ms 84.1% 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 2025-09-07T10:14:37.4459488Z triton_mm_2233 0.0101 ms 83.6% 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 2025-09-07T10:14:37.4460378Z triton_mm_2247 0.0103 ms 82.3% 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 2025-09-07T10:14:37.4461272Z triton_mm_2230 0.0105 ms 80.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:14:37.4462550Z triton_mm_2243 0.0107 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=4, num_warps=8 2025-09-07T10:14:37.4463540Z SingleProcess AUTOTUNE benchmarking takes 0.2492 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:14:38.6101670Z Autotune Choices Stats: 2025-09-07T10:14:38.6102754Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_580", "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": 0.00886400043964386, "best_triton_pos": 0} 2025-09-07T10:14:38.6124003Z AUTOTUNE mm(784x1024, 1024x256) 2025-09-07T10:14:38.6124264Z strides: [1024, 1], [1, 1024] 2025-09-07T10:14:38.6124518Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:38.6125171Z triton_mm_580 0.0089 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 2025-09-07T10:14:38.6126181Z triton_mm_584 0.0089 ms 99.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:38.6126782Z mm 0.0094 ms 94.2% 2025-09-07T10:14:38.6127338Z triton_mm_588 0.0104 ms 85.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:38.6128284Z triton_mm_579 0.0117 ms 75.9% 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 2025-09-07T10:14:38.6129216Z triton_mm_583 0.0118 ms 74.9% 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 2025-09-07T10:14:38.6130151Z triton_mm_578 0.0120 ms 73.9% 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 2025-09-07T10:14:38.6131087Z triton_mm_587 0.0123 ms 72.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:38.6132031Z triton_mm_594 0.0123 ms 71.9% 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 2025-09-07T10:14:38.6132914Z triton_mm_577 0.0125 ms 70.7% 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 2025-09-07T10:14:38.6133680Z SingleProcess AUTOTUNE benchmarking takes 0.2344 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:14:39.8325820Z Autotune Choices Stats: 2025-09-07T10:14:39.8327066Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.010463999584317207, "best_triton_pos": 1, "best_triton_time": 0.010816000401973724, "best_triton_kernel": "triton_mm_2207", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:14:39.8349539Z AUTOTUNE mm(196x2048, 2048x512) 2025-09-07T10:14:39.8349790Z strides: [2048, 1], [1, 2048] 2025-09-07T10:14:39.8350016Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:39.8350255Z mm 0.0105 ms 100.0% 2025-09-07T10:14:39.8350751Z triton_mm_2207 0.0108 ms 96.7% 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 2025-09-07T10:14:39.8351615Z triton_mm_2211 0.0115 ms 91.3% 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 2025-09-07T10:14:39.8353067Z triton_mm_2215 0.0133 ms 78.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:14:39.8354610Z triton_mm_2221 0.0173 ms 60.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:14:39.8355581Z triton_mm_2206 0.0177 ms 59.1% 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 2025-09-07T10:14:39.8356539Z triton_mm_2205 0.0183 ms 57.2% 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 2025-09-07T10:14:39.8357590Z triton_mm_2210 0.0187 ms 55.9% 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 2025-09-07T10:14:39.8358555Z triton_mm_2204 0.0188 ms 55.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:14:39.8359512Z triton_mm_2214 0.0189 ms 55.3% 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 2025-09-07T10:14:39.8360359Z SingleProcess AUTOTUNE benchmarking takes 0.2527 seconds and 0.0002 seconds precompiling for 20 choices 2025-09-07T10:14:41.2828485Z Autotune Choices Stats: 2025-09-07T10:14:41.2830784Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "convolution", "best_time": 0.03747199848294258, "best_triton_pos": 1, "best_triton_time": 0.07360000163316727, "best_triton_kernel": "triton_convolution2d_0", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:14:41.2851887Z AUTOTUNE convolution(4x3x224x224, 64x3x7x7) 2025-09-07T10:14:41.2852414Z strides: [150528, 1, 672, 3], [147, 1, 21, 3] 2025-09-07T10:14:41.2853112Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:41.2854059Z convolution 0.0375 ms 100.0% 2025-09-07T10:14:41.2855311Z triton_convolution2d_0 0.0736 ms 50.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:41.2857323Z triton_convolution2d_3 0.0778 ms 48.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:41.2859261Z triton_convolution2d_4 0.0845 ms 44.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:41.2861202Z triton_convolution2d_2 0.1204 ms 31.1% 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 2025-09-07T10:14:41.2863519Z triton_convolution2d_5 0.1304 ms 28.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:41.2864774Z triton_convolution2d_1 0.2103 ms 17.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=7, KERNEL_W=7, PADDING_H=3, PADDING_W=3, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:41.2865612Z SingleProcess AUTOTUNE benchmarking takes 0.1757 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-07T10:14:41.3903244Z Autotune Choices Stats: 2025-09-07T10:14:41.3906360Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.01369599997997284, "best_triton_pos": 1, "best_triton_time": 0.016736000776290894, "best_triton_kernel": "triton_convolution2d_29", "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=8"} 2025-09-07T10:14:41.3925764Z AUTOTUNE convolution(4x64x56x56, 64x64x3x3) 2025-09-07T10:14:41.3926102Z strides: [200704, 1, 3584, 64], [576, 1, 192, 64] 2025-09-07T10:14:41.3926411Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:41.3926695Z convolution 0.0137 ms 100.0% 2025-09-07T10:14:41.3927447Z triton_convolution2d_29 0.0167 ms 81.8% 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=8 2025-09-07T10:14:41.3928693Z triton_convolution2d_28 0.0176 ms 78.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:41.3929924Z triton_convolution2d_27 0.0179 ms 76.7% 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 2025-09-07T10:14:41.3931140Z triton_convolution2d_24 0.0216 ms 63.5% 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 2025-09-07T10:14:41.3932354Z triton_convolution2d_30 0.0237 ms 57.7% 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 2025-09-07T10:14:41.3933505Z triton_convolution2d_25 0.0300 ms 45.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:41.3934766Z triton_convolution2d_26 0.0503 ms 27.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:14:41.3935606Z SingleProcess AUTOTUNE benchmarking takes 0.1063 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:41.5078460Z Autotune Choices Stats: 2025-09-07T10:14:41.5080690Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013151999562978745, "best_triton_pos": 1, "best_triton_time": 0.030239999294281006, "best_triton_kernel": "triton_convolution2d_180", "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"} 2025-09-07T10:14:41.5101220Z AUTOTUNE convolution(4x128x56x56, 128x128x3x3) 2025-09-07T10:14:41.5101596Z strides: [401408, 1, 7168, 128], [1152, 1, 384, 128] 2025-09-07T10:14:41.5101940Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:41.5102313Z convolution 0.0132 ms 100.0% 2025-09-07T10:14:41.5103521Z triton_convolution2d_180 0.0302 ms 43.5% 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 2025-09-07T10:14:41.5105821Z triton_convolution2d_181 0.0330 ms 39.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:41.5107836Z triton_convolution2d_179 0.0359 ms 36.6% 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 2025-09-07T10:14:41.5110468Z triton_convolution2d_182 0.0370 ms 35.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:41.5112482Z triton_convolution2d_176 0.0449 ms 29.3% 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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:41.5113912Z triton_convolution2d_177 0.0512 ms 25.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:41.5114974Z triton_convolution2d_178 0.1037 ms 12.7% 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 2025-09-07T10:14:41.5115828Z SingleProcess AUTOTUNE benchmarking takes 0.1145 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:41.6108155Z Autotune Choices Stats: 2025-09-07T10:14:41.6110376Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.012000000104308128, "best_triton_pos": 1, "best_triton_time": 0.012415999546647072, "best_triton_kernel": "triton_convolution2d_206", "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"} 2025-09-07T10:14:41.6130977Z AUTOTUNE convolution(4x256x56x56, 512x256x1x1) 2025-09-07T10:14:41.6131307Z strides: [802816, 1, 14336, 256], [256, 1, 256, 256] 2025-09-07T10:14:41.6131611Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:41.6131882Z convolution 0.0120 ms 100.0% 2025-09-07T10:14:41.6132625Z triton_convolution2d_206 0.0124 ms 96.6% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:14:41.6134021Z triton_convolution2d_205 0.0132 ms 90.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:14:41.6135290Z triton_convolution2d_207 0.0138 ms 87.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:14:41.6136522Z triton_convolution2d_208 0.0143 ms 84.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:14:41.6137752Z triton_convolution2d_202 0.0170 ms 70.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:14:41.6138971Z triton_convolution2d_203 0.0173 ms 69.3% 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 2025-09-07T10:14:41.6140197Z triton_convolution2d_204 0.0290 ms 41.3% 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 2025-09-07T10:14:41.6141167Z SingleProcess AUTOTUNE benchmarking takes 0.1022 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:41.7278996Z Autotune Choices Stats: 2025-09-07T10:14:41.7281557Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.011935999616980553, "best_triton_pos": 1, "best_triton_time": 0.028960000723600388, "best_triton_kernel": "triton_convolution2d_232", "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"} 2025-09-07T10:14:41.7302028Z AUTOTUNE convolution(4x128x28x28, 128x128x3x3) 2025-09-07T10:14:41.7302464Z strides: [100352, 1, 3584, 128], [1152, 1, 384, 128] 2025-09-07T10:14:41.7303019Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:41.7303478Z convolution 0.0119 ms 100.0% 2025-09-07T10:14:41.7304960Z triton_convolution2d_232 0.0290 ms 41.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:41.7306949Z triton_convolution2d_233 0.0314 ms 38.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:41.7308932Z triton_convolution2d_231 0.0374 ms 31.9% 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 2025-09-07T10:14:41.7310886Z triton_convolution2d_234 0.0382 ms 31.3% 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 2025-09-07T10:14:41.7312915Z triton_convolution2d_228 0.0442 ms 27.0% 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 2025-09-07T10:14:41.7314151Z triton_convolution2d_229 0.0466 ms 25.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:41.7315218Z triton_convolution2d_230 0.0987 ms 12.1% 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 2025-09-07T10:14:41.7316058Z SingleProcess AUTOTUNE benchmarking takes 0.1163 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:41.8911935Z Autotune Choices Stats: 2025-09-07T10:14:41.8914355Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.014015999622642994, "best_triton_pos": 1, "best_triton_time": 0.053119998425245285, "best_triton_kernel": "triton_convolution2d_547", "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"} 2025-09-07T10:14:41.8935582Z AUTOTUNE convolution(4x256x28x28, 256x256x3x3) 2025-09-07T10:14:41.8935887Z strides: [200704, 1, 7168, 256], [2304, 1, 768, 256] 2025-09-07T10:14:41.8936167Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:41.8936398Z convolution 0.0140 ms 100.0% 2025-09-07T10:14:41.8937035Z triton_convolution2d_547 0.0531 ms 26.4% 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 2025-09-07T10:14:41.8938117Z triton_convolution2d_549 0.0675 ms 20.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:41.8939189Z triton_convolution2d_546 0.0686 ms 20.4% 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 2025-09-07T10:14:41.8940448Z triton_convolution2d_548 0.0750 ms 18.7% 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 2025-09-07T10:14:41.8941673Z triton_convolution2d_544 0.0951 ms 14.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:41.8942747Z triton_convolution2d_543 0.0982 ms 14.3% 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 2025-09-07T10:14:41.8943959Z triton_convolution2d_545 0.1928 ms 7.3% 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 2025-09-07T10:14:41.8944798Z SingleProcess AUTOTUNE benchmarking takes 0.1556 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:41.9953337Z Autotune Choices Stats: 2025-09-07T10:14:41.9955445Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.011071999557316303, "best_triton_pos": 1, "best_triton_time": 0.016575999557971954, "best_triton_kernel": "triton_convolution2d_573", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:14:41.9977394Z AUTOTUNE convolution(4x512x28x28, 1024x512x1x1) 2025-09-07T10:14:41.9977938Z strides: [401408, 1, 14336, 512], [512, 1, 512, 512] 2025-09-07T10:14:41.9978439Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:41.9978889Z convolution 0.0111 ms 100.0% 2025-09-07T10:14:41.9980068Z triton_convolution2d_573 0.0166 ms 66.8% 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 2025-09-07T10:14:41.9982100Z triton_convolution2d_572 0.0196 ms 56.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:14:41.9984288Z triton_convolution2d_574 0.0196 ms 56.4% 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 2025-09-07T10:14:41.9985339Z triton_convolution2d_575 0.0197 ms 56.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:14:41.9986390Z triton_convolution2d_570 0.0252 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:14:41.9987452Z triton_convolution2d_569 0.0257 ms 43.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:14:41.9988507Z triton_convolution2d_571 0.0451 ms 24.6% 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 2025-09-07T10:14:41.9989336Z SingleProcess AUTOTUNE benchmarking takes 0.1032 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:42.1436467Z Autotune Choices Stats: 2025-09-07T10:14:42.1439411Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013632000423967838, "best_triton_pos": 1, "best_triton_time": 0.05238400027155876, "best_triton_kernel": "triton_convolution2d_599", "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"} 2025-09-07T10:14:42.1459321Z AUTOTUNE convolution(4x256x14x14, 256x256x3x3) 2025-09-07T10:14:42.1459647Z strides: [50176, 1, 3584, 256], [2304, 1, 768, 256] 2025-09-07T10:14:42.1460018Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:42.1460258Z convolution 0.0136 ms 100.0% 2025-09-07T10:14:42.1460905Z triton_convolution2d_599 0.0524 ms 26.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:42.1461981Z triton_convolution2d_598 0.0682 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:42.1463062Z triton_convolution2d_601 0.0710 ms 19.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:42.1464538Z triton_convolution2d_600 0.0737 ms 18.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:42.1465643Z triton_convolution2d_596 0.0901 ms 15.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:42.1466724Z triton_convolution2d_595 0.1026 ms 13.3% 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 2025-09-07T10:14:42.1467793Z triton_convolution2d_597 0.1866 ms 7.3% 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 2025-09-07T10:14:42.1468645Z SingleProcess AUTOTUNE benchmarking takes 0.1475 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:42.3935066Z Autotune Choices Stats: 2025-09-07T10:14:42.3936268Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.016767999157309532, "best_triton_pos": 1, "best_triton_time": 0.10825599730014801, "best_triton_kernel": "triton_convolution2d_2174", "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"} 2025-09-07T10:14:42.3959935Z AUTOTUNE convolution(4x512x14x14, 512x512x3x3) 2025-09-07T10:14:42.3960387Z strides: [100352, 1, 7168, 512], [4608, 1, 1536, 512] 2025-09-07T10:14:42.3960705Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:42.3960978Z convolution 0.0168 ms 100.0% 2025-09-07T10:14:42.3961748Z triton_convolution2d_2174 0.1083 ms 15.5% 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 2025-09-07T10:14:42.3963104Z triton_convolution2d_2176 0.1310 ms 12.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:42.3964494Z triton_convolution2d_2173 0.1310 ms 12.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:42.3965717Z triton_convolution2d_2175 0.1420 ms 11.8% 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 2025-09-07T10:14:42.3967259Z triton_convolution2d_2171 0.1925 ms 8.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:42.3968496Z triton_convolution2d_2170 0.2013 ms 8.3% 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 2025-09-07T10:14:42.3969719Z triton_convolution2d_2172 0.2486 ms 6.7% 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 2025-09-07T10:14:42.3970690Z SingleProcess AUTOTUNE benchmarking takes 0.2068 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:42.5029045Z Autotune Choices Stats: 2025-09-07T10:14:42.5031242Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013088000006973743, "best_triton_pos": 1, "best_triton_time": 0.027456000447273254, "best_triton_kernel": "triton_convolution2d_2200", "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"} 2025-09-07T10:14:42.5052113Z AUTOTUNE convolution(4x1024x14x14, 2048x1024x1x1) 2025-09-07T10:14:42.5052533Z strides: [200704, 1, 14336, 1024], [1024, 1, 1024, 1024] 2025-09-07T10:14:42.5053198Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:42.5054123Z convolution 0.0131 ms 100.0% 2025-09-07T10:14:42.5055424Z triton_convolution2d_2200 0.0275 ms 47.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:14:42.5057510Z triton_convolution2d_2202 0.0326 ms 40.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:14:42.5059490Z triton_convolution2d_2199 0.0327 ms 40.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:14:42.5061524Z triton_convolution2d_2201 0.0336 ms 38.9% 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 2025-09-07T10:14:42.5064117Z triton_convolution2d_2197 0.0456 ms 28.7% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:14:42.5065316Z triton_convolution2d_2196 0.0462 ms 28.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:14:42.5066458Z triton_convolution2d_2198 0.0583 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=2, STRIDE_W=2, UNROLL=True, num_stages=1, num_warps=8 2025-09-07T10:14:42.5067352Z SingleProcess AUTOTUNE benchmarking takes 0.1082 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:42.7026525Z Autotune Choices Stats: 2025-09-07T10:14:42.7028809Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.016736000776290894, "best_triton_pos": 1, "best_triton_time": 0.10719999670982361, "best_triton_kernel": "triton_convolution2d_2226", "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"} 2025-09-07T10:14:42.7050051Z AUTOTUNE convolution(4x512x7x7, 512x512x3x3) 2025-09-07T10:14:42.7050667Z strides: [25088, 1, 3584, 512], [4608, 1, 1536, 512] 2025-09-07T10:14:42.7050992Z dtypes: torch.float16, torch.float16 2025-09-07T10:14:42.7051254Z convolution 0.0167 ms 100.0% 2025-09-07T10:14:42.7051998Z triton_convolution2d_2226 0.1072 ms 15.6% 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 2025-09-07T10:14:42.7053484Z triton_convolution2d_2225 0.1328 ms 12.6% 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 2025-09-07T10:14:42.7055092Z triton_convolution2d_2228 0.1368 ms 12.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:42.7056376Z triton_convolution2d_2227 0.1417 ms 11.8% 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=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:14:42.7057635Z triton_convolution2d_2224 0.1710 ms 9.8% 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=1, num_warps=8 2025-09-07T10:14:42.7058893Z triton_convolution2d_2223 0.1914 ms 8.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:14:42.7060152Z triton_convolution2d_2222 0.2036 ms 8.2% 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 2025-09-07T10:14:42.7061151Z SingleProcess AUTOTUNE benchmarking takes 0.1987 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:14:42.9599588Z Autotune Choices Stats: 2025-09-07T10:14:42.9600595Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_2297", "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": 0.01033599954098463, "best_triton_pos": 0} 2025-09-07T10:14:42.9627089Z AUTOTUNE addmm(4x1000, 4x2048, 2048x1000) 2025-09-07T10:14:42.9627585Z strides: [0, 1], [2048, 1], [1, 2048] 2025-09-07T10:14:42.9628115Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:14:42.9629242Z triton_mm_2297 0.0103 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 2025-09-07T10:14:42.9630839Z triton_mm_2301 0.0107 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:42.9631847Z bias_addmm 0.0111 ms 93.1% 2025-09-07T10:14:42.9632937Z triton_mm_2305 0.0135 ms 76.7% 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 2025-09-07T10:14:42.9634465Z addmm 0.0137 ms 75.6% 2025-09-07T10:14:42.9634973Z triton_mm_2309 0.0148 ms 69.6% 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 2025-09-07T10:14:42.9635768Z triton_mm_2296 0.0166 ms 62.4% 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 2025-09-07T10:14:42.9636562Z triton_mm_2295 0.0177 ms 58.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:14:42.9637829Z triton_mm_2294 0.0179 ms 57.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:14:42.9638630Z triton_mm_2300 0.0181 ms 57.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:14:42.9639323Z SingleProcess AUTOTUNE benchmarking takes 0.2551 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:15:01.3690826Z Autotune Choices Stats: 2025-09-07T10:15:01.3691838Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_2332", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006783999968320131, "best_triton_pos": 0} 2025-09-07T10:15:01.3715944Z AUTOTUNE mm(1000x4, 4x2048) 2025-09-07T10:15:01.3716442Z strides: [1, 1000], [2048, 1] 2025-09-07T10:15:01.3716863Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:01.3718077Z triton_mm_2332 0.0068 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 2025-09-07T10:15:01.3719601Z triton_mm_2333 0.0068 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:15:01.3720389Z triton_mm_2334 0.0068 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:15:01.3721182Z triton_mm_2335 0.0068 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:01.3721985Z triton_mm_2336 0.0068 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-07T10:15:01.3722771Z triton_mm_2337 0.0069 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:01.3723564Z triton_mm_2338 0.0069 ms 98.6% 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 2025-09-07T10:15:01.3724577Z triton_mm_2339 0.0069 ms 98.6% 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 2025-09-07T10:15:01.3725387Z triton_mm_2341 0.0069 ms 97.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:01.3726221Z triton_mm_2340 0.0070 ms 97.2% 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 2025-09-07T10:15:01.3726930Z SingleProcess AUTOTUNE benchmarking takes 0.1560 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:15:01.9956188Z Autotune Choices Stats: 2025-09-07T10:15:01.9958346Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.009472000412642956, "best_triton_pos": 1, "best_triton_time": 0.009855999611318111, "best_triton_kernel": "triton_mm_2318", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-07T10:15:01.9981990Z AUTOTUNE mm(4x1000, 1000x2048) 2025-09-07T10:15:01.9982413Z strides: [1000, 1], [2048, 1] 2025-09-07T10:15:01.9982833Z dtypes: torch.float16, torch.float16 2025-09-07T10:15:01.9984434Z mm 0.0095 ms 100.0% 2025-09-07T10:15:01.9985882Z triton_mm_2318 0.0099 ms 96.1% 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 2025-09-07T10:15:01.9987541Z triton_mm_2322 0.0102 ms 92.5% 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 2025-09-07T10:15:01.9989149Z triton_mm_2314 0.0105 ms 90.5% 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 2025-09-07T10:15:01.9990574Z triton_mm_2312 0.0116 ms 81.5% 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 2025-09-07T10:15:01.9991413Z triton_mm_2326 0.0116 ms 81.3% 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 2025-09-07T10:15:01.9992264Z triton_mm_2317 0.0121 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:15:01.9993093Z triton_mm_2313 0.0123 ms 77.3% 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 2025-09-07T10:15:01.9994064Z triton_mm_2324 0.0131 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:15:01.9994902Z triton_mm_2321 0.0131 ms 72.2% 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 2025-09-07T10:15:01.9995636Z SingleProcess AUTOTUNE benchmarking takes 0.1797 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:15:13.8515739Z W0907 10:15:13.850000 35633 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function will be ignored 2025-09-07T10:16:25.4191007Z pass 2025-09-07T10:16:34.4315458Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:16:34.4316722Z import pynvml # type: ignore[import] 2025-09-07T10:16:36.8617036Z 2025-09-07T10:16:38.2159821Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:16:38.2160195Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:16:38.2160492Z cuda train resnet18 2025-09-07T10:16:45.7784886Z Autotune Choices Stats: 2025-09-07T10:16:45.7786916Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.011359999887645245, "best_triton_pos": 1, "best_triton_time": 0.016543999314308167, "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=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:16:45.7808639Z AUTOTUNE convolution(4x64x56x56, 128x64x3x3) 2025-09-07T10:16:45.7808972Z strides: [200704, 1, 3584, 64], [576, 1, 192, 64] 2025-09-07T10:16:45.7809298Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:45.7809579Z convolution 0.0114 ms 100.0% 2025-09-07T10:16:45.7810317Z triton_convolution2d_38 0.0165 ms 68.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:45.7811991Z triton_convolution2d_39 0.0176 ms 64.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:45.7813464Z triton_convolution2d_37 0.0185 ms 61.3% 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 2025-09-07T10:16:45.7814921Z triton_convolution2d_40 0.0217 ms 52.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:45.7816168Z triton_convolution2d_34 0.0226 ms 50.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:45.7817238Z triton_convolution2d_35 0.0286 ms 39.8% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:45.7818298Z triton_convolution2d_36 0.0559 ms 20.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:45.7819138Z SingleProcess AUTOTUNE benchmarking takes 0.1075 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:45.8794940Z Autotune Choices Stats: 2025-09-07T10:16:45.8796728Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_52", "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": 0.006816000211983919, "best_triton_pos": 0} 2025-09-07T10:16:45.8819499Z AUTOTUNE convolution(4x64x56x56, 128x64x1x1) 2025-09-07T10:16:45.8819794Z strides: [200704, 1, 3584, 64], [64, 1, 64, 64] 2025-09-07T10:16:45.8820083Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:45.8820745Z triton_convolution2d_52 0.0068 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 2025-09-07T10:16:45.8821838Z triton_convolution2d_53 0.0072 ms 94.2% 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:45.8822894Z triton_convolution2d_48 0.0075 ms 90.6% 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 2025-09-07T10:16:45.8824260Z triton_convolution2d_51 0.0080 ms 84.9% 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 2025-09-07T10:16:45.8825326Z triton_convolution2d_54 0.0081 ms 84.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:45.8825973Z convolution 0.0083 ms 82.6% 2025-09-07T10:16:45.8826594Z triton_convolution2d_49 0.0090 ms 76.1% 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 2025-09-07T10:16:45.8827670Z triton_convolution2d_50 0.0124 ms 54.8% 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 2025-09-07T10:16:45.8828502Z SingleProcess AUTOTUNE benchmarking takes 0.0995 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:45.9964538Z Autotune Choices Stats: 2025-09-07T10:16:45.9966800Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.011296000331640244, "best_triton_pos": 1, "best_triton_time": 0.02908799983561039, "best_triton_kernel": "triton_convolution2d_73", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:16:45.9989701Z AUTOTUNE convolution(4x128x28x28, 256x128x3x3) 2025-09-07T10:16:45.9990292Z strides: [100352, 1, 3584, 128], [1152, 1, 384, 128] 2025-09-07T10:16:45.9990802Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:45.9991257Z convolution 0.0113 ms 100.0% 2025-09-07T10:16:45.9992456Z triton_convolution2d_73 0.0291 ms 38.8% 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 2025-09-07T10:16:45.9994790Z triton_convolution2d_75 0.0371 ms 30.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:45.9996455Z triton_convolution2d_72 0.0376 ms 30.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:45.9997509Z triton_convolution2d_74 0.0403 ms 28.1% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:45.9998502Z triton_convolution2d_70 0.0505 ms 22.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:45.9999509Z triton_convolution2d_69 0.0523 ms 21.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:46.0000507Z triton_convolution2d_71 0.1003 ms 11.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:46.0011384Z SingleProcess AUTOTUNE benchmarking takes 0.1145 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:46.0968881Z Autotune Choices Stats: 2025-09-07T10:16:46.0970244Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.007935999892652035, "best_triton_pos": 1, "best_triton_time": 0.00800000037997961, "best_triton_kernel": "triton_convolution2d_87", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:46.0994775Z AUTOTUNE convolution(4x128x28x28, 256x128x1x1) 2025-09-07T10:16:46.0995060Z strides: [100352, 1, 3584, 128], [128, 1, 128, 128] 2025-09-07T10:16:46.0995333Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:46.0995584Z convolution 0.0079 ms 100.0% 2025-09-07T10:16:46.0996805Z triton_convolution2d_87 0.0080 ms 99.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:46.0998970Z triton_convolution2d_88 0.0090 ms 88.3% 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 2025-09-07T10:16:46.1001397Z triton_convolution2d_86 0.0092 ms 86.7% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:46.1004186Z triton_convolution2d_89 0.0095 ms 83.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:46.1006376Z triton_convolution2d_83 0.0108 ms 73.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:46.1007609Z triton_convolution2d_84 0.0111 ms 71.5% 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 2025-09-07T10:16:46.1008845Z triton_convolution2d_85 0.0166 ms 47.8% 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 2025-09-07T10:16:46.1009820Z SingleProcess AUTOTUNE benchmarking takes 0.0989 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:46.2441128Z Autotune Choices Stats: 2025-09-07T10:16:46.2442493Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.013728000223636627, "best_triton_pos": 1, "best_triton_time": 0.05536000058054924, "best_triton_kernel": "triton_convolution2d_108", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4"} 2025-09-07T10:16:46.2467150Z AUTOTUNE convolution(4x256x14x14, 512x256x3x3) 2025-09-07T10:16:46.2467735Z strides: [50176, 1, 3584, 256], [2304, 1, 768, 256] 2025-09-07T10:16:46.2468247Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:46.2468746Z convolution 0.0137 ms 100.0% 2025-09-07T10:16:46.2469963Z triton_convolution2d_108 0.0554 ms 24.8% 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 2025-09-07T10:16:46.2471950Z triton_convolution2d_107 0.0690 ms 19.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:46.2474184Z triton_convolution2d_110 0.0692 ms 19.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:46.2476157Z triton_convolution2d_109 0.0749 ms 18.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=8 2025-09-07T10:16:46.2477234Z triton_convolution2d_104 0.1000 ms 13.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:46.2478257Z triton_convolution2d_105 0.1001 ms 13.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=2, num_warps=4 2025-09-07T10:16:46.2479262Z triton_convolution2d_106 0.1438 ms 9.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=2, STRIDE_W=2, UNROLL=False, num_stages=1, num_warps=8 2025-09-07T10:16:46.2480060Z SingleProcess AUTOTUNE benchmarking takes 0.1446 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:46.3446144Z Autotune Choices Stats: 2025-09-07T10:16:46.3447888Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.008576000109314919, "best_triton_pos": 1, "best_triton_time": 0.010432000271975994, "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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4"} 2025-09-07T10:16:46.3471882Z AUTOTUNE convolution(4x256x14x14, 512x256x1x1) 2025-09-07T10:16:46.3472478Z strides: [50176, 1, 3584, 256], [256, 1, 256, 256] 2025-09-07T10:16:46.3473016Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:46.3473463Z convolution 0.0086 ms 100.0% 2025-09-07T10:16:46.3475185Z triton_convolution2d_122 0.0104 ms 82.2% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=4 2025-09-07T10:16:46.3477117Z triton_convolution2d_123 0.0123 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=2, STRIDE_W=2, UNROLL=True, num_stages=2, num_warps=8 2025-09-07T10:16:46.3478365Z triton_convolution2d_121 0.0124 ms 69.1% 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 2025-09-07T10:16:46.3479597Z triton_convolution2d_124 0.0125 ms 68.7% 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 2025-09-07T10:16:46.3480819Z triton_convolution2d_119 0.0152 ms 56.5% 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 2025-09-07T10:16:46.3482048Z triton_convolution2d_118 0.0153 ms 55.9% 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 2025-09-07T10:16:46.3483283Z triton_convolution2d_120 0.0198 ms 43.3% 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 2025-09-07T10:16:46.3484405Z SingleProcess AUTOTUNE benchmarking takes 0.0988 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-07T10:16:46.5821288Z Autotune Choices Stats: 2025-09-07T10:16:46.5822878Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_143", "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": 0.00774399982765317, "best_triton_pos": 0} 2025-09-07T10:16:46.5848514Z AUTOTUNE addmm(4x1000, 4x512, 512x1000) 2025-09-07T10:16:46.5848808Z strides: [0, 1], [512, 1], [1, 512] 2025-09-07T10:16:46.5849130Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-07T10:16:46.5849804Z triton_mm_143 0.0077 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 2025-09-07T10:16:46.5850796Z triton_mm_147 0.0080 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:16:46.5851413Z bias_addmm 0.0085 ms 91.0% 2025-09-07T10:16:46.5851996Z triton_mm_142 0.0086 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 2025-09-07T10:16:46.5852987Z triton_mm_155 0.0088 ms 88.0% 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 2025-09-07T10:16:46.5854315Z triton_mm_146 0.0089 ms 87.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:46.5855390Z triton_mm_141 0.0089 ms 86.7% 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 2025-09-07T10:16:46.5856355Z triton_mm_151 0.0092 ms 84.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:16:46.5857271Z triton_mm_140 0.0093 ms 83.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-07T10:16:46.5858165Z triton_mm_153 0.0097 ms 80.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:16:46.5858939Z SingleProcess AUTOTUNE benchmarking takes 0.2349 seconds and 0.0002 seconds precompiling for 19 choices 2025-09-07T10:16:51.9920685Z Autotune Choices Stats: 2025-09-07T10:16:51.9921753Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_mm_180", "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=5, num_warps=4", "best_time": 0.005919999908655882, "best_triton_pos": 0} 2025-09-07T10:16:51.9947138Z AUTOTUNE mm(1000x4, 4x512) 2025-09-07T10:16:51.9947429Z strides: [1, 1000], [512, 1] 2025-09-07T10:16:51.9947742Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:51.9948543Z triton_mm_180 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:16:51.9949688Z triton_mm_177 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-07T10:16:51.9950670Z triton_mm_178 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-07T10:16:51.9951625Z triton_mm_179 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-07T10:16:51.9952575Z triton_mm_175 0.0060 ms 98.9% 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 2025-09-07T10:16:51.9953522Z triton_mm_176 0.0060 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-07T10:16:51.9954850Z triton_mm_185 0.0061 ms 97.4% 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 2025-09-07T10:16:51.9955814Z triton_mm_173 0.0061 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-07T10:16:51.9956765Z triton_mm_174 0.0061 ms 96.9% 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 2025-09-07T10:16:51.9957951Z triton_mm_181 0.0061 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:51.9958991Z SingleProcess AUTOTUNE benchmarking takes 0.1579 seconds and 0.0003 seconds precompiling for 17 choices 2025-09-07T10:16:52.6619298Z Autotune Choices Stats: 2025-09-07T10:16:52.6621863Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "mm", "best_time": 0.008608000352978706, "best_triton_pos": 1, "best_triton_time": 0.008671999908983707, "best_triton_kernel": "triton_mm_160", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-07T10:16:52.6647979Z AUTOTUNE mm(4x1000, 1000x512) 2025-09-07T10:16:52.6648232Z strides: [1000, 1], [512, 1] 2025-09-07T10:16:52.6648484Z dtypes: torch.float16, torch.float16 2025-09-07T10:16:52.6648742Z mm 0.0086 ms 100.0% 2025-09-07T10:16:52.6649362Z triton_mm_160 0.0087 ms 99.3% 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 2025-09-07T10:16:52.6650354Z triton_mm_164 0.0091 ms 95.1% 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 2025-09-07T10:16:52.6651345Z triton_mm_168 0.0095 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-07T10:16:52.6652319Z triton_mm_158 0.0105 ms 82.3% 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 2025-09-07T10:16:52.6653287Z triton_mm_159 0.0106 ms 81.3% 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 2025-09-07T10:16:52.6654388Z triton_mm_163 0.0111 ms 77.7% 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 2025-09-07T10:16:52.6655347Z triton_mm_172 0.0111 ms 77.3% 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 2025-09-07T10:16:52.6656312Z triton_mm_170 0.0120 ms 71.7% 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 2025-09-07T10:16:52.6657272Z triton_mm_167 0.0123 ms 69.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-07T10:16:52.6658117Z SingleProcess AUTOTUNE benchmarking takes 0.1769 seconds and 0.0002 seconds precompiling for 18 choices 2025-09-07T10:16:55.9055864Z pass 2025-09-07T10:16:58.8103269Z accuracy pass_rate=75.00% 2025-09-07T10:16:58.8115656Z calls_captured gmean=0.00x mean=511.125x 2025-09-07T10:16:58.8119458Z unique_graphs gmean=0.00x mean=2.125x 2025-09-07T10:16:58.8122518Z graph_breaks gmean=0.00x mean=5.625x 2025-09-07T10:16:58.8126176Z unique_graph_breaks gmean=0.00x mean=4.375x 2025-09-07T10:16:58.8129277Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T10:16:58.8132414Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T10:16:58.8135903Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T10:16:58.8136851Z compilation_latency mean=35.907 seconds 2025-09-07T10:16:59.6181383Z + [[ 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* ]] 2025-09-07T10:16:59.6182757Z + [[ training == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T10:16:59.6183053Z + for target in "${targets[@]}" 2025-09-07T10:16:59.6183325Z + target_flag=('--performance') 2025-09-07T10:16:59.6183575Z + local target_flag 2025-09-07T10:16:59.6184306Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T10:16:59.6184630Z + target_flag+=(--cold-start-latency) 2025-09-07T10:16:59.6186472Z + [[ 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* ]] 2025-09-07T10:16:59.6188832Z + [[ 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* ]] 2025-09-07T10:16:59.6190991Z + python benchmarks/dynamo/torchbench.py --performance --cold-start-latency --training --amp --backend inductor --disable-cudagraphs --device cuda --total-partitions 9 --partition-id 6 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.csv 2025-09-07T10:17:00.1167611Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:17:00.1168670Z import pynvml # type: ignore[import] 2025-09-07T10:17:03.2957728Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:17:03.2958771Z import pynvml # type: ignore[import] 2025-09-07T10:17:05.7476598Z 2025-09-07T10:17:06.5881017Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:17:06.5881336Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:17:06.5881577Z cuda train opacus_cifar10 2025-09-07T10:17:06.5888846Z Traceback (most recent call last): 2025-09-07T10:17:06.5889319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1997, in validate_model 2025-09-07T10:17:06.5889788Z self.model_iter_fn(model, example_inputs) 2025-09-07T10:17:06.5890333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in forward_and_backward_pass 2025-09-07T10:17:06.5890869Z pred = mod(*cloned_inputs) 2025-09-07T10:17:06.5891375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T10:17:06.5891916Z return self._call_impl(*args, **kwargs) 2025-09-07T10:17:06.5892444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T10:17:06.5892939Z return forward_call(*args, **kwargs) 2025-09-07T10:17:06.5893448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T10:17:06.5894534Z return self._module(*args, **kwargs) 2025-09-07T10:17:06.5895029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T10:17:06.5895519Z return self._call_impl(*args, **kwargs) 2025-09-07T10:17:06.5896005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T10:17:06.5896457Z return forward_call(*args, **kwargs) 2025-09-07T10:17:06.5896924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T10:17:06.5897375Z return self._forward_impl(x) 2025-09-07T10:17:06.5897824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T10:17:06.5898286Z x = self.conv1(x) 2025-09-07T10:17:06.5898717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T10:17:06.5899203Z return self._call_impl(*args, **kwargs) 2025-09-07T10:17:06.5899664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1881, in _call_impl 2025-09-07T10:17:06.5900507Z return inner() 2025-09-07T10:17:06.5901157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1842, in inner 2025-09-07T10:17:06.5901625Z hook_result = hook(self, args, result) 2025-09-07T10:17:06.5902167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 289, in capture_activations_hook 2025-09-07T10:17:06.5902709Z p._forward_counter += 1 2025-09-07T10:17:06.5903033Z AttributeError: 'Parameter' object has no attribute '_forward_counter' 2025-09-07T10:17:06.5903288Z 2025-09-07T10:17:06.5903445Z The above exception was the direct cause of the following exception: 2025-09-07T10:17:06.5903691Z 2025-09-07T10:17:06.5903940Z Traceback (most recent call last): 2025-09-07T10:17:06.5904326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4172, in run 2025-09-07T10:17:06.5904683Z ) = runner.load_model( 2025-09-07T10:17:06.5905033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model 2025-09-07T10:17:06.5905442Z self.validate_model(model, example_inputs) 2025-09-07T10:17:06.5905853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1999, in validate_model 2025-09-07T10:17:06.5906259Z raise RuntimeError("Eager run failed") from e 2025-09-07T10:17:06.5906523Z RuntimeError: Eager run failed 2025-09-07T10:17:06.5906660Z 2025-09-07T10:17:06.5906725Z eager_fail_to_run 2025-09-07T10:17:08.2187762Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T10:17:08.2188795Z import pynvml # type: ignore[import] 2025-09-07T10:17:10.6506852Z 2025-09-07T10:17:11.7621665Z loading model: 0it [00:00, ?it/s] 2025-09-07T10:17:11.7622159Z loading model: 0it [00:01, ?it/s] 2025-09-07T10:17:11.7622671Z cuda train phlippe_densenet 2025-09-07T10:17:49.9519513Z 2025-09-07T10:17:50.0872739Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:18:45.2845638Z 2025-09-07T10:18:45.3899257Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:19:47.3969035Z 2025-09-07T10:19:47.5151401Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:22:25.5775179Z 2025-09-07T10:22:25.7461484Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:24:49.9042969Z 2025-09-07T10:24:50.0151923Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:25:53.5596905Z 2025-09-07T10:25:53.6994356Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:28:38.3894500Z 2025-09-07T10:28:38.5809756Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:31:07.9847188Z 2025-09-07T10:31:08.0962016Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:32:14.5762564Z 2025-09-07T10:32:14.6770638Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:34:59.6001131Z 2025-09-07T10:35:00.1470629Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:38:20.2127387Z 2025-09-07T10:38:20.3281169Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:39:49.5763574Z 2025-09-07T10:39:49.7089157Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:44:20.8492062Z 2025-09-07T10:44:20.9861740Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:47:27.4977956Z 2025-09-07T10:47:27.6045515Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:48:47.8359118Z 2025-09-07T10:48:47.9366203Z running benchmark: 0% 0/30 [00:00 will be ignored 2025-09-07T10:51:50.1453280Z 2025-09-07T10:51:50.3391284Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T11:52:36.5845251Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T11:52:36.5861379Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:52:36.5861654Z env: 2025-09-07T11:52:36.5861810Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:52:36.5862211Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:52:36.5862539Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:52:36.5862961Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:52:36.5863308Z ##[endgroup] 2025-09-07T11:52:36.6334343Z + [[ -n '' ]] 2025-09-07T11:52:36.6334880Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T11:52:36.9097202Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:52:38.1182922Z Collecting boto3==1.35.33 2025-09-07T11:52:38.1797794Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T11:52:38.5745748Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 329.4 kB/s eta 0:00:00 2025-09-07T11:52:39.0896734Z Collecting psutil==7.0.0 2025-09-07T11:52:39.1013675Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-09-07T11:52:39.4832777Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 704.7 kB/s eta 0:00:00 2025-09-07T11:52:39.8426173Z Collecting pynvml==12.0.0 2025-09-07T11:52:39.8844737Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T11:52:41.4070620Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T11:52:41.4194520Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T11:52:42.1605971Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 14.4 MB/s eta 0:00:00 2025-09-07T11:52:42.5401928Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T11:52:42.7098326Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T11:52:43.1137648Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 181.5 kB/s eta 0:00:00 2025-09-07T11:52:43.4116219Z Collecting jmespath<2.0.0,>=0.7.1 2025-09-07T11:52:43.4236798Z Downloading jmespath-1.0.1-py3-none-any.whl (20 kB) 2025-09-07T11:52:44.1477743Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T11:52:44.1604190Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T11:52:44.4778093Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 118.4 kB/s eta 0:00:00 2025-09-07T11:52:44.4842915Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.5) 2025-09-07T11:52:44.4849045Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T11:52:44.7153378Z Installing collected packages: nvidia-ml-py, pynvml, psutil, jmespath, botocore, s3transfer, boto3 2025-09-07T11:52:44.7154407Z Attempting uninstall: nvidia-ml-py 2025-09-07T11:52:44.7159370Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T11:52:44.7195326Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T11:52:44.7222321Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T11:52:45.5023423Z Attempting uninstall: psutil 2025-09-07T11:52:45.5030211Z Found existing installation: psutil 5.9.8 2025-09-07T11:52:45.5196257Z Uninstalling psutil-5.9.8: 2025-09-07T11:52:45.5205205Z Successfully uninstalled psutil-5.9.8 2025-09-07T11:52:49.2916955Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T11:52:49.3848081Z + DEVICE_NAME= 2025-09-07T11:52:49.3848283Z + DEVICE_TYPE= 2025-09-07T11:52:49.3848494Z + command -v nvidia-smi 2025-09-07T11:52:49.3849545Z /usr/bin/nvidia-smi 2025-09-07T11:52:49.3849783Z + python3 -mpip install torch==2.7.1 2025-09-07T11:52:49.6612182Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:52:50.2500499Z Collecting torch==2.7.1 2025-09-07T11:52:50.3078811Z Downloading torch-2.7.1-cp310-cp310-manylinux_2_28_x86_64.whl (821.2 MB) 2025-09-07T11:53:19.0603558Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 821.2/821.2 MB 504.9 kB/s eta 0:00:00 2025-09-07T11:53:20.4200072Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-09-07T11:53:20.4316366Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-09-07T11:53:21.3365155Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 9.9 MB/s eta 0:00:00 2025-09-07T11:53:21.7805954Z Collecting filelock 2025-09-07T11:53:21.7917594Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-09-07T11:53:22.6974110Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-09-07T11:53:22.7084283Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-09-07T11:53:23.1410663Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 KB 2.1 MB/s eta 0:00:00 2025-09-07T11:53:23.5072960Z Collecting nvidia-curand-cu12==10.3.7.77 2025-09-07T11:53:23.5183389Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-09-07T11:53:26.2726267Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 5.2 MB/s eta 0:00:00 2025-09-07T11:53:26.6413020Z Collecting triton==3.3.1 2025-09-07T11:53:26.6529190Z Downloading triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-09-07T11:53:35.2413506Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.6/155.6 MB 6.7 MB/s eta 0:00:00 2025-09-07T11:53:35.4222356Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-09-07T11:53:35.4333117Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-09-07T11:53:43.2647584Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 9.5 MB/s eta 0:00:00 2025-09-07T11:53:43.4481733Z Collecting sympy>=1.13.3 2025-09-07T11:53:43.4593341Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-09-07T11:53:43.6799178Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 28.8 MB/s eta 0:00:00 2025-09-07T11:53:43.7172928Z Collecting nvidia-nccl-cu12==2.26.2 2025-09-07T11:53:43.7285508Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-09-07T11:53:48.9117800Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 7.5 MB/s eta 0:00:00 2025-09-07T11:53:49.1315262Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-09-07T11:53:49.1429736Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-09-07T11:54:10.4198592Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 571.0/571.0 MB 1.6 MB/s eta 0:00:00 2025-09-07T11:54:11.2670984Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-09-07T11:54:11.2785055Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-09-07T11:54:34.1148077Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 2.6 MB/s eta 0:00:00 2025-09-07T11:54:34.5319430Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-09-07T11:54:34.5432029Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-07T11:54:35.7015836Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 19.1 MB/s eta 0:00:00 2025-09-07T11:54:35.7509999Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-09-07T11:54:35.7622313Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-09-07T11:54:50.4529426Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.6/216.6 MB 4.4 MB/s eta 0:00:00 2025-09-07T11:54:50.6941765Z Collecting nvidia-nvtx-cu12==12.6.77 2025-09-07T11:54:50.7054307Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-09-07T11:54:50.7167615Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.3/89.3 KB 8.4 MB/s eta 0:00:00 2025-09-07T11:54:50.7595038Z Collecting networkx 2025-09-07T11:54:50.7704722Z Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB) 2025-09-07T11:54:50.8534489Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 21.1 MB/s eta 0:00:00 2025-09-07T11:54:50.8837875Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-09-07T11:54:50.8947964Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-09-07T11:54:52.1259830Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 13.7 MB/s eta 0:00:00 2025-09-07T11:54:52.1900722Z Collecting fsspec 2025-09-07T11:54:52.2014769Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-09-07T11:54:52.2219040Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.3/199.3 KB 10.1 MB/s eta 0:00:00 2025-09-07T11:54:52.2467456Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-09-07T11:54:52.2578301Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-09-07T11:55:03.5333068Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.2/200.2 MB 5.5 MB/s eta 0:00:00 2025-09-07T11:55:03.7960697Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-09-07T11:55:03.8076141Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-09-07T11:55:12.5145260Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 158.2/158.2 MB 3.5 MB/s eta 0:00:00 2025-09-07T11:55:12.8256816Z Collecting jinja2 2025-09-07T11:55:12.8368701Z Downloading jinja2-3.1.6-py3-none-any.whl (134 kB) 2025-09-07T11:55:13.1845182Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.9/134.9 KB 360.8 kB/s eta 0:00:00 2025-09-07T11:55:13.4874801Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-09-07T11:55:13.4985487Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-09-07T11:55:13.9459804Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 2.5 MB/s eta 0:00:00 2025-09-07T11:55:13.9486202Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/bob/.local/lib/python3.10/site-packages (from torch==2.7.1) (4.15.0) 2025-09-07T11:55:13.9736767Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3/dist-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-09-07T11:55:14.3538611Z Collecting mpmath<1.4,>=1.1.0 2025-09-07T11:55:14.3649335Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-09-07T11:55:14.8176076Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 KB 1.2 MB/s eta 0:00:00 2025-09-07T11:55:15.1313176Z Collecting MarkupSafe>=2.0 2025-09-07T11:55:15.1841791Z Downloading MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB) 2025-09-07T11:55:15.5771474Z Installing collected packages: nvidia-cusparselt-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch 2025-09-07T11:55:22.2448988Z WARNING: The scripts proton and proton-viewer are installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T11:55:22.2449880Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:55:26.8221450Z WARNING: The script isympy is installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T11:55:26.8222209Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:56:09.5878252Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T11:56:09.5880266Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:56:09.6680738Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.9.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-09-07T11:56:10.3841592Z + echo DEVICE_NAME= 2025-09-07T11:56:10.3842677Z + echo DEVICE_TYPE= 2025-09-07T11:56:10.3867974Z ##[group]Run set -eux 2025-09-07T11:56:10.3868184Z set -eux 2025-09-07T11:56:10.3868367Z  2025-09-07T11:56:10.3868552Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T11:56:10.3868810Z  echo "Missing github-token input" 2025-09-07T11:56:10.3869039Z  exit 1 2025-09-07T11:56:10.3869190Z fi 2025-09-07T11:56:10.3885907Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:10.3886213Z env: 2025-09-07T11:56:10.3886376Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:10.3886636Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:10.3886968Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:10.3887406Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:10.3887761Z DEVICE_NAME: 2025-09-07T11:56:10.3887930Z DEVICE_TYPE: 2025-09-07T11:56:10.3888295Z GITHUB_TOKEN: *** 2025-09-07T11:56:10.3888471Z ##[endgroup] 2025-09-07T11:56:10.3924571Z + [[ -z *** ]] 2025-09-07T11:56:10.3960241Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T11:56:10.3960563Z with: 2025-09-07T11:56:10.3960933Z github-token: *** 2025-09-07T11:56:10.3961118Z env: 2025-09-07T11:56:10.3961279Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:10.3961530Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:10.3961860Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:10.3962289Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:10.3962638Z DEVICE_NAME: 2025-09-07T11:56:10.3962801Z DEVICE_TYPE: 2025-09-07T11:56:10.3963102Z ##[endgroup] 2025-09-07T11:56:10.3975284Z ##[group]Run set -eux 2025-09-07T11:56:10.3975502Z set -eux 2025-09-07T11:56:10.3975666Z  2025-09-07T11:56:10.3976018Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T11:56:10.3992525Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:10.3992828Z env: 2025-09-07T11:56:10.3992992Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:10.3993242Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:10.3993564Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:10.3994171Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:10.3994537Z DEVICE_NAME: 2025-09-07T11:56:10.3994711Z DEVICE_TYPE: 2025-09-07T11:56:10.3995083Z GITHUB_TOKEN: *** 2025-09-07T11:56:10.3995261Z ##[endgroup] 2025-09-07T11:56:10.4029633Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525296438 i-05a095f6e498981b2-1002 2025-09-07T11:56:11.2375818Z setting job-id=49775781853 2025-09-07T11:56:11.2376297Z setting job-name=test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T11:56:11.2491908Z ##[group]Run set -eux 2025-09-07T11:56:11.2492119Z set -eux 2025-09-07T11:56:11.2492443Z  2025-09-07T11:56:11.2492603Z if [[ -n "" ]]; then 2025-09-07T11:56:11.2492808Z  source "" 2025-09-07T11:56:11.2492986Z fi 2025-09-07T11:56:11.2493138Z  2025-09-07T11:56:11.2493414Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T11:56:11.2493970Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T11:56:11.2494229Z  --repo "${REPO}" \ 2025-09-07T11:56:11.2494456Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T11:56:11.2494698Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T11:56:11.2495187Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T11:56:11.2495472Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T11:56:11.2495724Z  --job-id "${JOB_ID}" \ 2025-09-07T11:56:11.2495937Z  --job-name "${JOB_NAME}" 2025-09-07T11:56:11.2511175Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:11.2511469Z env: 2025-09-07T11:56:11.2511628Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:11.2511872Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:11.2512205Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:11.2512622Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:11.2512978Z DEVICE_NAME: 2025-09-07T11:56:11.2513146Z DEVICE_TYPE: 2025-09-07T11:56:11.2513305Z SCHEMA_VERSION: v3 2025-09-07T11:56:11.2513479Z REPO: pytorch/pytorch 2025-09-07T11:56:11.2513667Z HEAD_BRANCH: refs/heads/main 2025-09-07T11:56:11.2514083Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T11:56:11.2514336Z WORKFLOW_RUN_ID: 17525296438 2025-09-07T11:56:11.2514516Z RUN_ATTEMPT: 1 2025-09-07T11:56:11.2514676Z JOB_ID: 49775781853 2025-09-07T11:56:11.2514986Z JOB_NAME: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T11:56:11.2515326Z ##[endgroup] 2025-09-07T11:56:11.2549014Z + [[ -n '' ]] 2025-09-07T11:56:11.2550440Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17525296438 --run-attempt 1 --job-id 49775781853 --job-name 'test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100)' 2025-09-07T11:56:11.2821669Z ##[group]Run set -eux 2025-09-07T11:56:11.2821891Z set -eux 2025-09-07T11:56:11.2822200Z  2025-09-07T11:56:11.2822363Z if [[ -n "" ]]; then 2025-09-07T11:56:11.2822645Z  source "" 2025-09-07T11:56:11.2822826Z fi 2025-09-07T11:56:11.2822994Z  2025-09-07T11:56:11.2823301Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T11:56:11.2838315Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:11.2838617Z env: 2025-09-07T11:56:11.2838777Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:11.2839029Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:11.2839358Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:11.2839787Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:11.2840144Z DEVICE_NAME: 2025-09-07T11:56:11.2840301Z DEVICE_TYPE: 2025-09-07T11:56:11.2840458Z ##[endgroup] 2025-09-07T11:56:11.2872820Z + [[ -n '' ]] 2025-09-07T11:56:11.2873384Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T11:56:12.0305243Z /home/bob/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-09-07T11:56:12.0307289Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-09-07T11:56:13.0403964Z ##[group]Run set -eux 2025-09-07T11:56:13.0404192Z set -eux 2025-09-07T11:56:13.0404368Z  2025-09-07T11:56:13.0404561Z # TODO (huydhn): Implement this part 2025-09-07T11:56:13.0404860Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T11:56:13.0420821Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:13.0421119Z env: 2025-09-07T11:56:13.0421279Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:13.0421523Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:13.0422084Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:13.0422502Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:13.0422857Z DEVICE_NAME: 2025-09-07T11:56:13.0423027Z DEVICE_TYPE: 2025-09-07T11:56:13.0423190Z ##[endgroup] 2025-09-07T11:56:13.0461235Z + echo 'dependencies={}' 2025-09-07T11:56:13.0481861Z ##[group]Run set -eux 2025-09-07T11:56:13.0482083Z set -eux 2025-09-07T11:56:13.0482257Z  2025-09-07T11:56:13.0482412Z if [[ -n "" ]]; then 2025-09-07T11:56:13.0482608Z  source "" 2025-09-07T11:56:13.0482773Z fi 2025-09-07T11:56:13.0482927Z  2025-09-07T11:56:13.0483118Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T11:56:13.0483621Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T11:56:13.0484152Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T11:56:13.0484448Z  exit 0 2025-09-07T11:56:13.0484633Z fi 2025-09-07T11:56:13.0484782Z  2025-09-07T11:56:13.0484958Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T11:56:13.0485312Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:56:13.0485712Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:56:13.0486016Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:56:13.0486271Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:56:13.0486573Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T11:56:13.0486811Z  --dry-run 2025-09-07T11:56:13.0486984Z else 2025-09-07T11:56:13.0487253Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T11:56:13.0487639Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T11:56:13.0488108Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T11:56:13.0488361Z  --runners "${RUNNER_INFO}" \ 2025-09-07T11:56:13.0488599Z  --dependencies "${DEPENDENCIES}" 2025-09-07T11:56:13.0488823Z fi 2025-09-07T11:56:13.0504922Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:13.0505220Z env: 2025-09-07T11:56:13.0505387Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:13.0505649Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:13.0505999Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:13.0506431Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:13.0506784Z DEVICE_NAME: 2025-09-07T11:56:13.0506942Z DEVICE_TYPE: 2025-09-07T11:56:13.0507126Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T11:56:13.0507353Z DRY_RUN: false 2025-09-07T11:56:13.0508271Z BENCHMARK_METADATA: {"timestamp": 1757246171, "schema_version": "v3", "name": "test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781853} 2025-09-07T11:56:13.0509582Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "3e2f3ea7459d"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}] 2025-09-07T11:56:13.0510275Z DEPENDENCIES: {} 2025-09-07T11:56:13.0510446Z ##[endgroup] 2025-09-07T11:56:13.0542251Z + [[ -n '' ]] 2025-09-07T11:56:13.0542471Z + [[ ! -d test/test-reports ]] 2025-09-07T11:56:13.0542690Z + [[ false == \t\r\u\e ]] 2025-09-07T11:56:13.0545147Z + python3 /home/bob/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757246171, "schema_version": "v3", "name": "test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525296438, "run_attempt": 1, "job_id": 49775781853}' --runners '[{"cpu_info": "x86_64", "cpu_count": 192, "avail_mem_in_gb": 1999, "extra_info": {"hostname": "3e2f3ea7459d"}, "name": "cuda", "type": "NVIDIA H100 80GB HBM3", "gpu_count": 1, "avail_gpu_mem_in_gb": 79}]' --dependencies '{}' 2025-09-07T11:56:13.1807449Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:13.2253496Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T11:56:13.4691696Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:56:13.6040247Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:56:13.7447401Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T11:56:13.8746097Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:56:14.0052026Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:14.1858573Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:56:14.3304483Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T11:56:14.4714947Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:14.6440247Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:56:14.7843610Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T11:56:14.9214629Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:56:15.0543346Z INFO:root:Upload test/test-reports/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:56:15.1820195Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T11:56:15.3071251Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:15.4510880Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:56:15.5842235Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:15.7616624Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:15.9461116Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T11:56:16.0869138Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:56:16.2175573Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:16.3663461Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T11:56:16.4975686Z INFO:root:Upload test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.json 2025-09-07T11:56:16.6304530Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:16.8058889Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:56:16.9778468Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:56:17.1834724Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:17.3500308Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:17.5263372Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T11:56:17.6776028Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:17.8590313Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:56:17.9935111Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:56:18.1395388Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:18.3129560Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.json 2025-09-07T11:56:18.4574478Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:56:18.6071181Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T11:56:18.7426805Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.json 2025-09-07T11:56:18.8957451Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:56:19.0325720Z INFO:root:Upload test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json 2025-09-07T11:56:19.1894007Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525296438/49775781853/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.json 2025-09-07T11:56:19.3874617Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T11:56:19.3874976Z cat test/**/*_toprint.log || true 2025-09-07T11:56:19.3890930Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:19.3891236Z env: 2025-09-07T11:56:19.3891413Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:19.3891678Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:19.3892015Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:19.3892431Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:19.3892804Z DEVICE_NAME: 2025-09-07T11:56:19.3892974Z DEVICE_TYPE: 2025-09-07T11:56:19.3893136Z ##[endgroup] 2025-09-07T11:56:19.4452756Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T11:56:19.4475248Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:56:19.4475542Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T11:56:19.4489577Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:19.4489904Z env: 2025-09-07T11:56:19.4490076Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:19.4490319Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:19.4490649Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:19.4491081Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:19.4491444Z DEVICE_NAME: 2025-09-07T11:56:19.4491618Z DEVICE_TYPE: 2025-09-07T11:56:19.4491789Z MONITOR_SCRIPT_PID: 7875 2025-09-07T11:56:19.4491984Z ##[endgroup] 2025-09-07T11:56:19.4615354Z Prepare all required actions 2025-09-07T11:56:19.4615738Z Getting action download info 2025-09-07T11:56:19.6352874Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T11:56:20.0099652Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T11:56:20.4058120Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T11:56:20.4058389Z with: 2025-09-07T11:56:20.4058679Z file-suffix: test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853 2025-09-07T11:56:20.4059209Z s3-bucket: gha-artifacts 2025-09-07T11:56:20.4059413Z env: 2025-09-07T11:56:20.4059589Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:20.4059832Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:20.4060163Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:20.4060624Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:20.4060974Z DEVICE_NAME: 2025-09-07T11:56:20.4061144Z DEVICE_TYPE: 2025-09-07T11:56:20.4061312Z ##[endgroup] 2025-09-07T11:56:20.4096638Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T11:56:20.4096989Z # Remove any previous test jsons if they exist 2025-09-07T11:56:20.4097258Z rm -f test-jsons-*.zip 2025-09-07T11:56:20.4097791Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T11:56:20.4114048Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:20.4114337Z env: 2025-09-07T11:56:20.4114497Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:20.4114739Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:20.4115056Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:20.4115467Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:20.4115830Z DEVICE_NAME: 2025-09-07T11:56:20.4115995Z DEVICE_TYPE: 2025-09-07T11:56:20.4116289Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853 2025-09-07T11:56:20.4116621Z ##[endgroup] 2025-09-07T11:56:20.4239631Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.4258467Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:56:20.4277448Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:56:20.4295401Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:56:20.4314217Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:56:20.4379359Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.4404886Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T11:56:20.4417207Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T11:56:20.4492158Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.4520447Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T11:56:20.4533197Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T11:56:20.4561789Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T11:56:20.4581011Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:56:20.4592958Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T11:56:20.4645018Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.4664156Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:56:20.4748578Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.4818716Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.4830955Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T11:56:20.4850058Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:56:20.4934328Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.4951711Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:56:20.4964142Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.json (deflated 98%) 2025-09-07T11:56:20.5022373Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.5050720Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T11:56:20.5079777Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T11:56:20.5155355Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.5233537Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.5250818Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:56:20.5326103Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.5345275Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:56:20.5364676Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:56:20.5421701Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.5438186Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.json (deflated 99%) 2025-09-07T11:56:20.5466990Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T11:56:20.5484685Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:56:20.5502506Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.json (deflated 98%) 2025-09-07T11:56:20.5531325Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T11:56:20.5589370Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.json (deflated 99%) 2025-09-07T11:56:20.5616827Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.json (deflated 99%) 2025-09-07T11:56:20.5644225Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T11:56:20.5644610Z # Remove any previous test reports if they exist 2025-09-07T11:56:20.5644905Z rm -f test-reports-*.zip 2025-09-07T11:56:20.5645274Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T11:56:20.5661220Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:20.5661534Z env: 2025-09-07T11:56:20.5661706Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:20.5661981Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:20.5662326Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:20.5662762Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:20.5663128Z DEVICE_NAME: 2025-09-07T11:56:20.5663301Z DEVICE_TYPE: 2025-09-07T11:56:20.5663612Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853 2025-09-07T11:56:20.5664106Z ##[endgroup] 2025-09-07T11:56:20.5729318Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T11:56:20.5730246Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T11:56:20.5731213Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:56:20.5732055Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T11:56:20.5732816Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T11:56:20.5733617Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 51%) 2025-09-07T11:56:20.5734611Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:56:20.5735398Z adding: test/test-reports/inductor_export_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 55%) 2025-09-07T11:56:20.5736155Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T11:56:20.5736928Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:56:20.5737769Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T11:56:20.5738676Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:56:20.5739629Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T11:56:20.5740385Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T11:56:20.5741052Z adding: test/test-reports/inductor_max_autotune_torchbench_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:56:20.5741790Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T11:56:20.5743956Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T11:56:20.5744906Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:56:20.5745596Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_training_cuda_h100_performance.csv (deflated 50%) 2025-09-07T11:56:20.5746307Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:56:20.5747062Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T11:56:20.5747827Z adding: test/test-reports/inductor_cudagraphs_low_precision_torchbench_quant_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:56:20.5748596Z adding: test/test-reports/inductor_with_cudagraphs_freezing_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T11:56:20.5749312Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T11:56:20.5749978Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 51%) 2025-09-07T11:56:20.5750640Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:56:20.5751349Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T11:56:20.5752151Z adding: test/test-reports/inductor_dynamic_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:56:20.5752848Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:56:20.5753551Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:56:20.5754350Z adding: test/test-reports/inductor_max_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 54%) 2025-09-07T11:56:20.5754970Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T11:56:20.5755648Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:56:20.5756348Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:56:20.5757022Z adding: test/test-reports/inductor_cudagraphs_low_precision_torchbench_quant_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T11:56:20.5757872Z adding: test/test-reports/inductor_with_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance_compilation_metrics.csv (deflated 50%) 2025-09-07T11:56:20.5758587Z adding: test/test-reports/inductor_aot_inductor_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 62%) 2025-09-07T11:56:20.5759218Z adding: test/test-reports/inductor_dynamic_torchbench_amp_training_cuda_h100_performance.csv (deflated 49%) 2025-09-07T11:56:20.5759887Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T11:56:20.5760639Z adding: test/test-reports/inductor_with_cudagraphs_freezing_autotune_torchbench_bfloat16_inference_cuda_h100_accuracy.csv (deflated 53%) 2025-09-07T11:56:20.5761334Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_training_cuda_h100_accuracy.csv (deflated 50%) 2025-09-07T11:56:20.5761978Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_bfloat16_inference_cuda_h100_performance.csv (deflated 50%) 2025-09-07T11:56:20.5781792Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T11:56:20.5782130Z # Remove any previous usage logs if they exist 2025-09-07T11:56:20.5782397Z rm -f logs-*.zip 2025-09-07T11:56:20.5782884Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T11:56:20.5783262Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T11:56:20.5798075Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:20.5798366Z env: 2025-09-07T11:56:20.5798532Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:20.5798777Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:20.5799111Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:20.5799524Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:20.5799874Z DEVICE_NAME: 2025-09-07T11:56:20.5800040Z DEVICE_TYPE: 2025-09-07T11:56:20.5800329Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853 2025-09-07T11:56:20.5800663Z ##[endgroup] 2025-09-07T11:56:20.5912464Z adding: usage_log.txt (deflated 91%) 2025-09-07T11:56:20.5930291Z 2025-09-07T11:56:20.5930700Z zip error: Nothing to do! (logs-test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853.zip) 2025-09-07T11:56:20.5950356Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T11:56:20.5950735Z # Remove any previous debugging artifacts if they exist 2025-09-07T11:56:20.5951040Z rm -f debug-*.zip 2025-09-07T11:56:20.5951254Z if [ -d 'test/debug' ]; then 2025-09-07T11:56:20.5951657Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T11:56:20.5951910Z fi 2025-09-07T11:56:20.5966435Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:20.5966737Z env: 2025-09-07T11:56:20.5966916Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:20.5967188Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:20.5967536Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:20.5967958Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:20.5968330Z DEVICE_NAME: 2025-09-07T11:56:20.5968504Z DEVICE_TYPE: 2025-09-07T11:56:20.5968803Z FILE_SUFFIX: test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853 2025-09-07T11:56:20.5969149Z ##[endgroup] 2025-09-07T11:56:20.6043316Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:56:20.6043563Z with: 2025-09-07T11:56:20.6043924Z s3-bucket: gha-artifacts 2025-09-07T11:56:20.6044189Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:56:20.6044463Z retention-days: 14 2025-09-07T11:56:20.6044658Z if-no-files-found: warn 2025-09-07T11:56:20.6044864Z path: test-jsons-*.zip 2025-09-07T11:56:20.6045075Z name: artifact 2025-09-07T11:56:20.6045252Z region: us-east-1 2025-09-07T11:56:20.6045422Z env: 2025-09-07T11:56:20.6045579Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:20.6045827Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:20.6046158Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:20.6046577Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:20.6046943Z DEVICE_NAME: 2025-09-07T11:56:20.6047121Z DEVICE_TYPE: 2025-09-07T11:56:20.6047285Z ##[endgroup] 2025-09-07T11:56:20.9093987Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:56:20.9094384Z With the provided path, there will be 1 file uploaded 2025-09-07T11:56:20.9094795Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:56:20.9102881Z Starting upload of test-jsons-test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853.zip 2025-09-07T11:56:21.2591932Z Finished upload of test-jsons-test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853.zip 2025-09-07T11:56:21.2851552Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:56:21.2851799Z with: 2025-09-07T11:56:21.2851967Z s3-bucket: gha-artifacts 2025-09-07T11:56:21.2852208Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:56:21.2852752Z retention-days: 14 2025-09-07T11:56:21.2852944Z if-no-files-found: error 2025-09-07T11:56:21.2853147Z path: test-reports-*.zip 2025-09-07T11:56:21.2853336Z name: artifact 2025-09-07T11:56:21.2853499Z region: us-east-1 2025-09-07T11:56:21.2853664Z env: 2025-09-07T11:56:21.2854122Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:21.2854371Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:21.2854707Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:21.2855128Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:21.2855491Z DEVICE_NAME: 2025-09-07T11:56:21.2855665Z DEVICE_TYPE: 2025-09-07T11:56:21.2855828Z ##[endgroup] 2025-09-07T11:56:21.5926332Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:56:21.5926766Z With the provided path, there will be 1 file uploaded 2025-09-07T11:56:21.5927195Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:56:21.5935206Z Starting upload of test-reports-test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853.zip 2025-09-07T11:56:21.7835309Z Finished upload of test-reports-test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853.zip 2025-09-07T11:56:21.8097217Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:56:21.8097465Z with: 2025-09-07T11:56:21.8097781Z s3-bucket: gha-artifacts 2025-09-07T11:56:21.8098022Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:56:21.8098299Z retention-days: 14 2025-09-07T11:56:21.8098497Z if-no-files-found: ignore 2025-09-07T11:56:21.8098702Z path: logs-*.zip 2025-09-07T11:56:21.8098865Z name: artifact 2025-09-07T11:56:21.8099033Z region: us-east-1 2025-09-07T11:56:21.8099203Z env: 2025-09-07T11:56:21.8099358Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:21.8099598Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:21.8099941Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:21.8100358Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:21.8100711Z DEVICE_NAME: 2025-09-07T11:56:21.8100877Z DEVICE_TYPE: 2025-09-07T11:56:21.8101030Z ##[endgroup] 2025-09-07T11:56:22.1160182Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T11:56:22.1160530Z With the provided path, there will be 1 file uploaded 2025-09-07T11:56:22.1160893Z Uploading to s3 prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:56:22.1169600Z Starting upload of logs-test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853.zip 2025-09-07T11:56:22.2952804Z Finished upload of logs-test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853.zip 2025-09-07T11:56:22.3209104Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T11:56:22.3209345Z with: 2025-09-07T11:56:22.3209512Z s3-bucket: gha-artifacts 2025-09-07T11:56:22.3209755Z s3-prefix: pytorch/pytorch/17525296438/1/artifact 2025-09-07T11:56:22.3210044Z retention-days: 14 2025-09-07T11:56:22.3210226Z if-no-files-found: ignore 2025-09-07T11:56:22.3210423Z path: debug-*.zip 2025-09-07T11:56:22.3210592Z name: artifact 2025-09-07T11:56:22.3210760Z region: us-east-1 2025-09-07T11:56:22.3210914Z env: 2025-09-07T11:56:22.3211071Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:22.3211311Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:22.3211641Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:22.3212049Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:22.3212397Z DEVICE_NAME: 2025-09-07T11:56:22.3212564Z DEVICE_TYPE: 2025-09-07T11:56:22.3212724Z ##[endgroup] 2025-09-07T11:56:22.6206532Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T11:56:22.6418630Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T11:56:22.6418947Z # shellcheck disable=SC2156 2025-09-07T11:56:22.6419529Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T11:56:22.6435615Z shell: /usr/bin/bash -e {0} 2025-09-07T11:56:22.6435825Z env: 2025-09-07T11:56:22.6435998Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:22.6436248Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:22.6436583Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:22.6436991Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:22.6437420Z DEVICE_NAME: 2025-09-07T11:56:22.6437584Z DEVICE_TYPE: 2025-09-07T11:56:22.6437738Z ##[endgroup] 2025-09-07T11:56:23.0277970Z Prepare all required actions 2025-09-07T11:56:23.0278319Z Getting action download info 2025-09-07T11:56:23.1426139Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T11:56:23.1426406Z with: 2025-09-07T11:56:23.1426564Z job_id: 49775781853 2025-09-07T11:56:23.1426873Z job_name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T11:56:23.1427237Z workflow_name: inductor-perf-nightly-h100 2025-09-07T11:56:23.1427476Z workflow_run_id: 17525296438 2025-09-07T11:56:23.1427667Z workflow_attempt: 1 2025-09-07T11:56:23.1427849Z env: 2025-09-07T11:56:23.1428008Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:23.1428374Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:23.1428710Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:23.1429126Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:23.1429464Z DEVICE_NAME: 2025-09-07T11:56:23.1429656Z DEVICE_TYPE: 2025-09-07T11:56:23.1429815Z ##[endgroup] 2025-09-07T11:56:23.1442824Z ##[group]Run echo "workflow_id: 17525296438" 2025-09-07T11:56:23.1443085Z echo "workflow_id: 17525296438" 2025-09-07T11:56:23.1443338Z echo "workflow_attempt: 1" 2025-09-07T11:56:23.1443626Z echo "workflow_Name: inductor-perf-nightly-h100" 2025-09-07T11:56:23.1444161Z echo "job_id: 49775781853" 2025-09-07T11:56:23.1444538Z echo "job_name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100)" 2025-09-07T11:56:23.1444985Z echo "artifact_prefix: " 2025-09-07T11:56:23.1445208Z python3 --version 2025-09-07T11:56:23.1460058Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:23.1460390Z env: 2025-09-07T11:56:23.1460549Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:23.1460796Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:23.1461143Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:23.1461563Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:23.1461920Z DEVICE_NAME: 2025-09-07T11:56:23.1462081Z DEVICE_TYPE: 2025-09-07T11:56:23.1462242Z ##[endgroup] 2025-09-07T11:56:23.1497575Z workflow_id: 17525296438 2025-09-07T11:56:23.1497795Z workflow_attempt: 1 2025-09-07T11:56:23.1498005Z workflow_Name: inductor-perf-nightly-h100 2025-09-07T11:56:23.1498256Z job_id: 49775781853 2025-09-07T11:56:23.1498618Z job_name: test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100) 2025-09-07T11:56:23.1499036Z artifact_prefix: 2025-09-07T11:56:23.1521004Z Python 3.10.12 2025-09-07T11:56:23.1552815Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T11:56:23.1553043Z with: 2025-09-07T11:56:23.1553196Z shell: bash 2025-09-07T11:56:23.1553359Z timeout_minutes: 5 2025-09-07T11:56:23.1553530Z max_attempts: 5 2025-09-07T11:56:23.1553871Z retry_wait_seconds: 30 2025-09-07T11:56:23.1554307Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T11:56:23.1554742Z polling_interval_seconds: 1 2025-09-07T11:56:23.1554957Z warning_on_retry: true 2025-09-07T11:56:23.1555152Z continue_on_error: false 2025-09-07T11:56:23.1555471Z env: 2025-09-07T11:56:23.1555627Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:23.1555860Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:23.1556183Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:23.1556591Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:23.1556940Z DEVICE_NAME: 2025-09-07T11:56:23.1557105Z DEVICE_TYPE: 2025-09-07T11:56:23.1557355Z ##[endgroup] 2025-09-07T11:56:23.4965924Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T11:56:23.6344468Z Collecting python-dateutil==2.8.2 2025-09-07T11:56:23.6912952Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T11:56:23.7323986Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 6.1 MB/s eta 0:00:00 2025-09-07T11:56:24.3172836Z Collecting boto3==1.35.42 2025-09-07T11:56:24.3301815Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T11:56:24.3487145Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.2/139.2 KB 7.8 MB/s eta 0:00:00 2025-09-07T11:56:24.6070197Z Collecting pandas==2.1.3 2025-09-07T11:56:24.6170727Z Downloading pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T11:56:25.0057530Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 38.7 MB/s eta 0:00:00 2025-09-07T11:56:25.0421966Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/bob/.local/lib/python3.10/site-packages (0.6.7) 2025-09-07T11:56:25.0437178Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil==2.8.2) (1.16.0) 2025-09-07T11:56:25.0481591Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/bob/.local/lib/python3.10/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T11:56:25.0486554Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/bob/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.0.1) 2025-09-07T11:56:25.0491327Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/bob/.local/lib/python3.10/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T11:56:25.4884784Z Collecting numpy<2,>=1.22.4 2025-09-07T11:56:25.4985138Z Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T11:56:25.6917447Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 87.2 MB/s eta 0:00:00 2025-09-07T11:56:25.7411209Z Collecting tzdata>=2022.1 2025-09-07T11:56:25.7509740Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T11:56:25.7613500Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 347.8/347.8 KB 39.8 MB/s eta 0:00:00 2025-09-07T11:56:25.8269240Z Collecting pytz>=2020.1 2025-09-07T11:56:25.8366426Z Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB) 2025-09-07T11:56:25.8480294Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 509.2/509.2 KB 51.9 MB/s eta 0:00:00 2025-09-07T11:56:25.8566035Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/bob/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T11:56:25.8570625Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/bob/.local/lib/python3.10/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T11:56:25.8627790Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.5) 2025-09-07T11:56:25.8737813Z Requirement already satisfied: packaging>=17.0 in /home/bob/.local/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T11:56:25.8833239Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/bob/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T11:56:25.8839544Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/bob/.local/lib/python3.10/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T11:56:26.1601879Z Installing collected packages: pytz, tzdata, python-dateutil, numpy, pandas, boto3 2025-09-07T11:56:29.0358875Z WARNING: The script f2py is installed in '/home/bob/.local/bin' which is not on PATH. 2025-09-07T11:56:29.0359629Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-09-07T11:56:33.4499281Z Attempting uninstall: boto3 2025-09-07T11:56:33.4505403Z Found existing installation: boto3 1.35.33 2025-09-07T11:56:33.4728606Z Uninstalling boto3-1.35.33: 2025-09-07T11:56:33.4748770Z Successfully uninstalled boto3-1.35.33 2025-09-07T11:56:34.1380819Z 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 2025-09-07T11:56:34.2382845Z Command completed after 1 attempt(s). 2025-09-07T11:56:34.2730819Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:56:34.2733233Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T11:56:34.2733685Z  --workflow-run-id "17525296438" \ 2025-09-07T11:56:34.2734225Z  --workflow-name "inductor-perf-nightly-h100" \ 2025-09-07T11:56:34.2734567Z  --workflow-run-attempt "1" \ 2025-09-07T11:56:34.2734839Z  --job-id "49775781853" \ 2025-09-07T11:56:34.2735278Z  --job-name "test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100)" \ 2025-09-07T11:56:34.2735709Z  --local-path "" \ 2025-09-07T11:56:34.2735955Z  --artifact-prefix "" 2025-09-07T11:56:34.2751992Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T11:56:34.2752304Z env: 2025-09-07T11:56:34.2752465Z GIT_DEFAULT_BRANCH: main 2025-09-07T11:56:34.2752715Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-07T11:56:34.2753043Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5228 2025-09-07T11:56:34.2753458Z DOCKER_CONTAINER_ID: f71ad610b58a3c3072781488966f5eb90ce79cb65533bca27f873fb2611ef342 2025-09-07T11:56:34.2753968Z DEVICE_NAME: 2025-09-07T11:56:34.2754141Z DEVICE_TYPE: 2025-09-07T11:56:34.2754303Z ##[endgroup] 2025-09-07T11:56:36.0472273Z repo: pytorch/pytorch 2025-09-07T11:56:36.0472876Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T11:56:36.0474052Z Downloading logs-test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853.zip 2025-09-07T11:56:36.0475341Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_perf_cuda_h100-7-9-linux.aws.h100_49775781853.zip 2025-09-07T11:56:36.0476244Z Converted Log Model: UtilizationMetadata: 2025-09-07T11:56:36.0478492Z UtilizationMetadata(level='metadata', workflow_id='17525296438', job_id='49775781853', workflow_name='inductor-perf-nightly-h100', job_name='test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757238519, gpu_count=1, cpu_count=192, gpu_type='pynvml', error=None) 2025-09-07T11:56:36.0480617Z [Db Segments] detected pytest cmd: 4, generated segments: 4 2025-09-07T11:56:36.0481200Z [db model] Peek db timeseries 2025-09-07T11:56:36.0481584Z :{ 2025-09-07T11:56:36.0481879Z "created_at": 1757246195, 2025-09-07T11:56:36.0482251Z "type": "utilization", 2025-09-07T11:56:36.0482606Z "tags": [ 2025-09-07T11:56:36.0482931Z "record" 2025-09-07T11:56:36.0483295Z ], 2025-09-07T11:56:36.0483673Z "time_stamp": 1757238519, 2025-09-07T11:56:36.0484497Z "repo": "pytorch/pytorch", 2025-09-07T11:56:36.0484963Z "workflow_id": 17525296438, 2025-09-07T11:56:36.0485218Z "run_attempt": 1, 2025-09-07T11:56:36.0485446Z "job_id": 49775781853, 2025-09-07T11:56:36.0485704Z "workflow_name": "inductor-perf-nightly-h100", 2025-09-07T11:56:36.0486166Z "job_name": "test-weekly / test (inductor_torchbench_perf_cuda_h100, 7, 9, linux.aws.h100)", 2025-09-07T11:56:36.0486557Z "json_data": "{}" 2025-09-07T11:56:36.0487001Z } 2025-09-07T11:56:36.0487420Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781853/metadata 2025-09-07T11:56:36.0488158Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525296438/1/49775781853/metadata 2025-09-07T11:56:36.0488924Z Writing 510 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781853/time_series 2025-09-07T11:56:36.0501725Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525296438/1/49775781853/time_series 2025-09-07T11:56:36.1871773Z Post job cleanup. 2025-09-07T11:56:36.3305571Z Post job cleanup. 2025-09-07T11:56:36.4216938Z [command]/usr/bin/git version 2025-09-07T11:56:36.4257098Z git version 2.50.1 2025-09-07T11:56:36.4296999Z Temporarily overriding HOME='/home/bob/_work/_temp/5ad2b321-60a4-45d5-8e4d-549ffc2dbecb' before making global git config changes 2025-09-07T11:56:36.4297661Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T11:56:36.4301676Z [command]/usr/bin/git config --global --add safe.directory /home/bob/_work/pytorch/pytorch 2025-09-07T11:56:36.4749429Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T11:56:36.4792044Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T11:56:36.5088901Z Entering 'android/libs/fbjni' 2025-09-07T11:56:36.5142038Z Entering 'third_party/FP16' 2025-09-07T11:56:36.5194614Z Entering 'third_party/FXdiv' 2025-09-07T11:56:36.5245745Z Entering 'third_party/NNPACK' 2025-09-07T11:56:36.5297598Z Entering 'third_party/NVTX' 2025-09-07T11:56:36.5349809Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:56:36.5401893Z Entering 'third_party/XNNPACK' 2025-09-07T11:56:36.5468451Z Entering 'third_party/aiter' 2025-09-07T11:56:36.5522358Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:56:36.5581147Z Entering 'third_party/benchmark' 2025-09-07T11:56:36.5634125Z Entering 'third_party/composable_kernel' 2025-09-07T11:56:36.5694055Z Entering 'third_party/cpp-httplib' 2025-09-07T11:56:36.5744943Z Entering 'third_party/cpuinfo' 2025-09-07T11:56:36.5795902Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:56:36.5846795Z Entering 'third_party/cutlass' 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2025-09-07T11:56:36.7831796Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T11:56:36.7883499Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T11:56:36.7931811Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T11:56:36.7981392Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T11:56:36.8030334Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T11:56:36.8078227Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T11:56:36.8125082Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T11:56:36.8171352Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T11:56:36.8218604Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T11:56:36.8268970Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T11:56:36.8319142Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T11:56:36.8387427Z Entering 'third_party/pocketfft' 2025-09-07T11:56:36.8438051Z Entering 'third_party/protobuf' 2025-09-07T11:56:36.8490495Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:56:36.8538747Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:56:36.8590110Z Entering 'third_party/psimd' 2025-09-07T11:56:36.8640170Z Entering 'third_party/pthreadpool' 2025-09-07T11:56:36.8691987Z Entering 'third_party/pybind11' 2025-09-07T11:56:36.8742270Z Entering 'third_party/python-peachpy' 2025-09-07T11:56:36.8792783Z Entering 'third_party/sleef' 2025-09-07T11:56:36.8842568Z Entering 'third_party/tensorpipe' 2025-09-07T11:56:36.8892994Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T11:56:36.8942303Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T11:56:36.8989699Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T11:56:36.9038068Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T11:56:36.9084176Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:56:36.9160383Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T11:56:36.9185323Z http.https://github.com/.extraheader 2025-09-07T11:56:36.9198175Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T11:56:36.9548427Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T11:56:36.9825728Z Entering 'android/libs/fbjni' 2025-09-07T11:56:36.9856613Z http.https://github.com/.extraheader 2025-09-07T11:56:37.0041821Z Entering 'third_party/FP16' 2025-09-07T11:56:37.0071521Z http.https://github.com/.extraheader 2025-09-07T11:56:37.0520614Z Entering 'third_party/FXdiv' 2025-09-07T11:56:37.0549620Z http.https://github.com/.extraheader 2025-09-07T11:56:37.0939763Z Entering 'third_party/NNPACK' 2025-09-07T11:56:37.0968475Z http.https://github.com/.extraheader 2025-09-07T11:56:37.1424856Z Entering 'third_party/NVTX' 2025-09-07T11:56:37.1455418Z http.https://github.com/.extraheader 2025-09-07T11:56:37.1915991Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:56:37.1944542Z http.https://github.com/.extraheader 2025-09-07T11:56:37.2342168Z Entering 'third_party/XNNPACK' 2025-09-07T11:56:37.2370492Z http.https://github.com/.extraheader 2025-09-07T11:56:37.2835355Z Entering 'third_party/aiter' 2025-09-07T11:56:37.2864694Z http.https://github.com/.extraheader 2025-09-07T11:56:37.3300163Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:56:37.3327750Z http.https://github.com/.extraheader 2025-09-07T11:56:37.3729614Z Entering 'third_party/benchmark' 2025-09-07T11:56:37.3758573Z http.https://github.com/.extraheader 2025-09-07T11:56:37.4203087Z Entering 'third_party/composable_kernel' 2025-09-07T11:56:37.4232254Z http.https://github.com/.extraheader 2025-09-07T11:56:37.4657229Z Entering 'third_party/cpp-httplib' 2025-09-07T11:56:37.4686777Z http.https://github.com/.extraheader 2025-09-07T11:56:37.5135780Z Entering 'third_party/cpuinfo' 2025-09-07T11:56:37.5164992Z http.https://github.com/.extraheader 2025-09-07T11:56:37.5614343Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:56:37.5643412Z http.https://github.com/.extraheader 2025-09-07T11:56:37.6027818Z Entering 'third_party/cutlass' 2025-09-07T11:56:37.6056954Z http.https://github.com/.extraheader 2025-09-07T11:56:37.6519277Z Entering 'third_party/fbgemm' 2025-09-07T11:56:37.6548590Z http.https://github.com/.extraheader 2025-09-07T11:56:37.6991153Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:56:37.7019495Z http.https://github.com/.extraheader 2025-09-07T11:56:37.7411412Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:56:37.7439254Z http.https://github.com/.extraheader 2025-09-07T11:56:37.7898817Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:56:37.7927205Z http.https://github.com/.extraheader 2025-09-07T11:56:37.8372812Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:56:37.8401277Z http.https://github.com/.extraheader 2025-09-07T11:56:37.8792494Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:56:37.8820821Z http.https://github.com/.extraheader 2025-09-07T11:56:37.9264867Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:56:37.9292685Z http.https://github.com/.extraheader 2025-09-07T11:56:37.9743658Z Entering 'third_party/fbgemm/external/json' 2025-09-07T11:56:37.9771627Z http.https://github.com/.extraheader 2025-09-07T11:56:38.0226082Z Entering 'third_party/flash-attention' 2025-09-07T11:56:38.0254497Z http.https://github.com/.extraheader 2025-09-07T11:56:38.0706275Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:56:38.0733645Z http.https://github.com/.extraheader 2025-09-07T11:56:38.1128504Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:56:38.1155661Z http.https://github.com/.extraheader 2025-09-07T11:56:38.1613593Z Entering 'third_party/flatbuffers' 2025-09-07T11:56:38.1642597Z http.https://github.com/.extraheader 2025-09-07T11:56:38.2084026Z Entering 'third_party/fmt' 2025-09-07T11:56:38.2112638Z http.https://github.com/.extraheader 2025-09-07T11:56:38.2504314Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:56:38.2533112Z http.https://github.com/.extraheader 2025-09-07T11:56:38.2986117Z Entering 'third_party/gloo' 2025-09-07T11:56:38.3015389Z http.https://github.com/.extraheader 2025-09-07T11:56:38.3461129Z Entering 'third_party/googletest' 2025-09-07T11:56:38.3489863Z http.https://github.com/.extraheader 2025-09-07T11:56:38.3881225Z Entering 'third_party/ideep' 2025-09-07T11:56:38.3910458Z http.https://github.com/.extraheader 2025-09-07T11:56:38.4362666Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:56:38.4390208Z http.https://github.com/.extraheader 2025-09-07T11:56:38.4852780Z Entering 'third_party/ittapi' 2025-09-07T11:56:38.4881966Z http.https://github.com/.extraheader 2025-09-07T11:56:38.5293969Z Entering 'third_party/kineto' 2025-09-07T11:56:38.5323327Z http.https://github.com/.extraheader 2025-09-07T11:56:38.5774809Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:56:38.5802871Z http.https://github.com/.extraheader 2025-09-07T11:56:38.6186703Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:56:38.6213896Z http.https://github.com/.extraheader 2025-09-07T11:56:38.6667527Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:56:38.6696043Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7145197Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T11:56:38.7172608Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7208514Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T11:56:38.7235596Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7268415Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T11:56:38.7297792Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7336587Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T11:56:38.7363084Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7397621Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T11:56:38.7424550Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7459357Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T11:56:38.7485614Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7523692Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T11:56:38.7550399Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7589548Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T11:56:38.7618420Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7653505Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T11:56:38.7681465Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7720342Z Entering 'third_party/kleidiai' 2025-09-07T11:56:38.7750106Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7786669Z Entering 'third_party/mimalloc' 2025-09-07T11:56:38.7815925Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7851983Z Entering 'third_party/nlohmann' 2025-09-07T11:56:38.7880373Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7918407Z Entering 'third_party/onnx' 2025-09-07T11:56:38.7947385Z http.https://github.com/.extraheader 2025-09-07T11:56:38.7996167Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T11:56:38.8024575Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8065136Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T11:56:38.8094071Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8129761Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T11:56:38.8158110Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8193877Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T11:56:38.8220946Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8257884Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T11:56:38.8285422Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8321768Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T11:56:38.8349415Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8387274Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T11:56:38.8413894Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8449010Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T11:56:38.8476241Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8511508Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T11:56:38.8539696Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8572738Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T11:56:38.8600945Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8638576Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T11:56:38.8665213Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8704984Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T11:56:38.8731832Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8786922Z Entering 'third_party/pocketfft' 2025-09-07T11:56:38.8816214Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8851338Z Entering 'third_party/protobuf' 2025-09-07T11:56:38.8880734Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8917643Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T11:56:38.8945711Z http.https://github.com/.extraheader 2025-09-07T11:56:38.8981760Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T11:56:38.9008471Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9048648Z Entering 'third_party/psimd' 2025-09-07T11:56:38.9077392Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9112425Z Entering 'third_party/pthreadpool' 2025-09-07T11:56:38.9141659Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9177904Z Entering 'third_party/pybind11' 2025-09-07T11:56:38.9206388Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9242153Z Entering 'third_party/python-peachpy' 2025-09-07T11:56:38.9271190Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9307535Z Entering 'third_party/sleef' 2025-09-07T11:56:38.9336005Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9372599Z Entering 'third_party/tensorpipe' 2025-09-07T11:56:38.9401558Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9436150Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T11:56:38.9464040Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9499775Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T11:56:38.9526435Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9562629Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T11:56:38.9589698Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9626616Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T11:56:38.9652164Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9686907Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:56:38.9715131Z http.https://github.com/.extraheader 2025-09-07T11:56:38.9892859Z Post job cleanup. 2025-09-07T11:56:39.0801891Z [command]/usr/bin/git version 2025-09-07T11:56:39.0840258Z git version 2.50.1 2025-09-07T11:56:39.0879645Z Temporarily overriding HOME='/home/bob/_work/_temp/e53d0a46-0039-4617-bf18-9077827d8328' before making global git config changes 2025-09-07T11:56:39.0880302Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T11:56:39.0887172Z [command]/usr/bin/git config --global --add safe.directory /home/bob/_work/pytorch/pytorch 2025-09-07T11:56:39.0921441Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T11:56:39.0964416Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T11:56:39.1242248Z Entering 'android/libs/fbjni' 2025-09-07T11:56:39.1293577Z Entering 'third_party/FP16' 2025-09-07T11:56:39.1345184Z Entering 'third_party/FXdiv' 2025-09-07T11:56:39.1396722Z Entering 'third_party/NNPACK' 2025-09-07T11:56:39.1446916Z Entering 'third_party/NVTX' 2025-09-07T11:56:39.1497104Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:56:39.1546202Z Entering 'third_party/XNNPACK' 2025-09-07T11:56:39.1610899Z Entering 'third_party/aiter' 2025-09-07T11:56:39.1661162Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:56:39.1721932Z Entering 'third_party/benchmark' 2025-09-07T11:56:39.1770730Z Entering 'third_party/composable_kernel' 2025-09-07T11:56:39.1830432Z Entering 'third_party/cpp-httplib' 2025-09-07T11:56:39.1881802Z Entering 'third_party/cpuinfo' 2025-09-07T11:56:39.1933210Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:56:39.1985322Z Entering 'third_party/cutlass' 2025-09-07T11:56:39.2044200Z Entering 'third_party/fbgemm' 2025-09-07T11:56:39.2096929Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:56:39.2146120Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:56:39.2201471Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:56:39.2249224Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:56:39.2305484Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:56:39.2354902Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:56:39.2400619Z Entering 'third_party/fbgemm/external/json' 2025-09-07T11:56:39.2452052Z Entering 'third_party/flash-attention' 2025-09-07T11:56:39.2502431Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:56:39.2555239Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:56:39.2615891Z Entering 'third_party/flatbuffers' 2025-09-07T11:56:39.2668583Z Entering 'third_party/fmt' 2025-09-07T11:56:39.2717978Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:56:39.2768862Z Entering 'third_party/gloo' 2025-09-07T11:56:39.2819110Z Entering 'third_party/googletest' 2025-09-07T11:56:39.2870088Z Entering 'third_party/ideep' 2025-09-07T11:56:39.2918208Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:56:39.2974509Z Entering 'third_party/ittapi' 2025-09-07T11:56:39.3024046Z Entering 'third_party/kineto' 2025-09-07T11:56:39.3073206Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:56:39.3122121Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T11:56:39.3171317Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T11:56:39.3220333Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T11:56:39.3269212Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T11:56:39.3317464Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T11:56:39.3371237Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T11:56:39.3418857Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T11:56:39.3468336Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T11:56:39.3517738Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T11:56:39.3569361Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T11:56:39.3617220Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T11:56:39.3667640Z Entering 'third_party/kleidiai' 2025-09-07T11:56:39.3718340Z Entering 'third_party/mimalloc' 2025-09-07T11:56:39.3768057Z Entering 'third_party/nlohmann' 2025-09-07T11:56:39.3818746Z Entering 'third_party/onnx' 2025-09-07T11:56:39.3884706Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T11:56:39.3939101Z Entering 'third_party/opentelemetry-cpp' 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2025-09-07T11:56:39.5181776Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T11:56:39.5256754Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T11:56:39.5289506Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T11:56:39.5559001Z Entering 'android/libs/fbjni' 2025-09-07T11:56:39.5610266Z Entering 'third_party/FP16' 2025-09-07T11:56:39.5662025Z Entering 'third_party/FXdiv' 2025-09-07T11:56:39.5713455Z Entering 'third_party/NNPACK' 2025-09-07T11:56:39.5763862Z Entering 'third_party/NVTX' 2025-09-07T11:56:39.5815508Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T11:56:39.5866245Z Entering 'third_party/XNNPACK' 2025-09-07T11:56:39.5928222Z Entering 'third_party/aiter' 2025-09-07T11:56:39.5980084Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T11:56:39.6037239Z Entering 'third_party/benchmark' 2025-09-07T11:56:39.6087790Z Entering 'third_party/composable_kernel' 2025-09-07T11:56:39.6146017Z Entering 'third_party/cpp-httplib' 2025-09-07T11:56:39.6196092Z Entering 'third_party/cpuinfo' 2025-09-07T11:56:39.6248359Z Entering 'third_party/cudnn_frontend' 2025-09-07T11:56:39.6300232Z Entering 'third_party/cutlass' 2025-09-07T11:56:39.6358681Z Entering 'third_party/fbgemm' 2025-09-07T11:56:39.6412074Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T11:56:39.6461252Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T11:56:39.6515126Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T11:56:39.6563122Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T11:56:39.6619207Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T11:56:39.6666956Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T11:56:39.6714255Z Entering 'third_party/fbgemm/external/json' 2025-09-07T11:56:39.6766703Z Entering 'third_party/flash-attention' 2025-09-07T11:56:39.6817667Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T11:56:39.6869855Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T11:56:39.6925927Z Entering 'third_party/flatbuffers' 2025-09-07T11:56:39.6978533Z Entering 'third_party/fmt' 2025-09-07T11:56:39.7029215Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T11:56:39.7081193Z Entering 'third_party/gloo' 2025-09-07T11:56:39.7131955Z Entering 'third_party/googletest' 2025-09-07T11:56:39.7182137Z Entering 'third_party/ideep' 2025-09-07T11:56:39.7231949Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T11:56:39.7289085Z Entering 'third_party/ittapi' 2025-09-07T11:56:39.7338734Z Entering 'third_party/kineto' 2025-09-07T11:56:39.7388336Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T11:56:39.7435824Z Entering 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