2025-09-07T07:37:57.7676526Z Current runner version: '2.328.0' 2025-09-07T07:37:57.7680705Z Runner name: 'i-046e182f934d54502' 2025-09-07T07:37:57.7681309Z Runner group name: 'default' 2025-09-07T07:37:57.7681965Z Machine name: 'ip-10-0-1-11' 2025-09-07T07:37:57.7683954Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:37:57.7685591Z Contents: read 2025-09-07T07:37:57.7686006Z Metadata: read 2025-09-07T07:37:57.7686446Z ##[endgroup] 2025-09-07T07:37:57.7687975Z Secret source: Actions 2025-09-07T07:37:57.7688570Z Prepare workflow directory 2025-09-07T07:37:57.8028063Z Prepare all required actions 2025-09-07T07:37:57.8056784Z Getting action download info 2025-09-07T07:37:58.0912394Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:37:59.2773299Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:38:09.9644188Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:38:10.2477944Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:38:10.4359048Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:38:10.5920010Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:38:10.8180329Z Getting action download info 2025-09-07T07:38:10.9102699Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:38:11.1447595Z Getting action download info 2025-09-07T07:38:11.2370489Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:38:11.4014342Z Getting action download info 2025-09-07T07:38:11.5077096Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:38:11.6845783Z Getting action download info 2025-09-07T07:38:11.8422358Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:38:11.8425387Z ##[group] Inputs 2025-09-07T07:38:11.8425696Z build-environment: linux-jammy-py3.9-gcc11 2025-09-07T07:38:11.8426225Z test-matrix: {"include": [{"config": "inductor-micro-benchmark-cpu-x86", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal", "owners": ["oncall:pt2"]}]} 2025-09-07T07:38:11.8427035Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:38:11.8427611Z sync-tag: 2025-09-07T07:38:11.8428242Z timeout-minutes: 720 2025-09-07T07:38:11.8428505Z use-gha: 2025-09-07T07:38:11.8428721Z dashboard-tag: 2025-09-07T07:38:11.8428998Z s3-bucket: gha-artifacts 2025-09-07T07:38:11.8429256Z aws-role-to-assume: 2025-09-07T07:38:11.8429696Z disable-monitor: false 2025-09-07T07:38:11.8429956Z monitor-log-interval: 5 2025-09-07T07:38:11.8430261Z monitor-data-collect-interval: 1 2025-09-07T07:38:11.8430553Z ##[endgroup] 2025-09-07T07:38:11.8431064Z Complete job name: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:38:11.9183306Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:38:11.9252547Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:38:11.9258875Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:11.9259252Z ##[endgroup] 2025-09-07T07:38:12.8235013Z Runner Type: linux.24xl.spr-metal 2025-09-07T07:38:12.8235316Z Instance Type: c7i.metal-24xl 2025-09-07T07:38:12.8235595Z AMI Name: unknown 2025-09-07T07:38:12.8258388Z AMI ID: ami-05ffe3c48a9991133 2025-09-07T07:38:16.4481502Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:38:16.4481801Z with: 2025-09-07T07:38:16.4482321Z github-secret: *** 2025-09-07T07:38:16.4482748Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:38:16.4483186Z activate-with-label: false 2025-09-07T07:38:16.4483366Z label: with-ssh 2025-09-07T07:38:16.4483535Z remove-existing-keys: true 2025-09-07T07:38:16.4483713Z fail-silently: true 2025-09-07T07:38:16.4483897Z env: 2025-09-07T07:38:16.4484036Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:16.4484222Z ##[endgroup] 2025-09-07T07:38:16.5585279Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:38:16.5585973Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:38:16.5691668Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:38:16.5691960Z with: 2025-09-07T07:38:16.5692125Z no-sudo: true 2025-09-07T07:38:16.5692298Z submodules: recursive 2025-09-07T07:38:16.5692485Z fetch-depth: 0 2025-09-07T07:38:16.5692639Z env: 2025-09-07T07:38:16.5692794Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:16.5692990Z ##[endgroup] 2025-09-07T07:38:16.5749286Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:38:16.5749856Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:38:16.5756581Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:16.5756823Z env: 2025-09-07T07:38:16.5757013Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:16.5757238Z ##[endgroup] 2025-09-07T07:38:16.5818585Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:38:16.5818896Z # Use all available CPUs for fetching 2025-09-07T07:38:16.5819117Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:38:16.5819334Z git config --global fetch.parallel 0 2025-09-07T07:38:16.5819580Z git config --global submodule.fetchJobs 0 2025-09-07T07:38:16.5819792Z  2025-09-07T07:38:16.5820020Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:38:16.5820294Z # do it here as well just in case 2025-09-07T07:38:16.5820503Z if [[ -d .git ]]; then 2025-09-07T07:38:16.5820701Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:38:16.5820901Z  sudo git clean -ffdx 2025-09-07T07:38:16.5821078Z  else 2025-09-07T07:38:16.5821239Z  git clean -ffdx 2025-09-07T07:38:16.5821408Z  fi 2025-09-07T07:38:16.5821557Z fi 2025-09-07T07:38:16.5825242Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:16.5825482Z env: 2025-09-07T07:38:16.5825724Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:16.5825919Z NO_SUDO: true 2025-09-07T07:38:16.5826074Z ##[endgroup] 2025-09-07T07:38:16.5909538Z ##[group]Run actions/checkout@v4 2025-09-07T07:38:16.5909757Z with: 2025-09-07T07:38:16.5909937Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:16.5910147Z fetch-depth: 0 2025-09-07T07:38:16.5910317Z submodules: recursive 2025-09-07T07:38:16.5910495Z show-progress: false 2025-09-07T07:38:16.5910675Z repository: pytorch/pytorch 2025-09-07T07:38:16.5910955Z token: *** 2025-09-07T07:38:16.5911117Z ssh-strict: true 2025-09-07T07:38:16.5911276Z ssh-user: git 2025-09-07T07:38:16.5911435Z persist-credentials: true 2025-09-07T07:38:16.5911618Z clean: true 2025-09-07T07:38:16.5911805Z sparse-checkout-cone-mode: true 2025-09-07T07:38:16.5912003Z fetch-tags: false 2025-09-07T07:38:16.5912155Z lfs: false 2025-09-07T07:38:16.5912322Z set-safe-directory: true 2025-09-07T07:38:16.5912515Z env: 2025-09-07T07:38:16.5912821Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:16.5912992Z ##[endgroup] 2025-09-07T07:38:16.6699431Z Syncing repository: pytorch/pytorch 2025-09-07T07:38:16.6700387Z ##[group]Getting Git version info 2025-09-07T07:38:16.6700690Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:38:16.6701103Z [command]/usr/bin/git version 2025-09-07T07:38:16.6916360Z git version 2.47.1 2025-09-07T07:38:16.6932413Z ##[endgroup] 2025-09-07T07:38:16.6938615Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/b3093916-85ff-4afe-b863-9391055e9b8c/.gitconfig' 2025-09-07T07:38:16.6955103Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/b3093916-85ff-4afe-b863-9391055e9b8c' before making global git config changes 2025-09-07T07:38:16.6958320Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:38:16.6958928Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:38:16.6997486Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:38:16.6999815Z ##[group]Initializing the repository 2025-09-07T07:38:16.7002807Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:38:16.7063617Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:38:16.7063967Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:38:16.7064313Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:38:16.7064577Z hint: 2025-09-07T07:38:16.7064791Z hint: git config --global init.defaultBranch 2025-09-07T07:38:16.7065064Z hint: 2025-09-07T07:38:16.7065289Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:38:16.7065630Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:38:16.7065897Z hint: 2025-09-07T07:38:16.7066053Z hint: git branch -m 2025-09-07T07:38:16.7083040Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:38:16.7089883Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:38:16.7120838Z ##[endgroup] 2025-09-07T07:38:16.7121142Z ##[group]Disabling automatic garbage collection 2025-09-07T07:38:16.7123757Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:38:16.7144909Z ##[endgroup] 2025-09-07T07:38:16.7145184Z ##[group]Setting up auth 2025-09-07T07:38:16.7150147Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:38:16.7170938Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:38:16.7430430Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:38:16.7450637Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:38:16.7719173Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:38:16.7764740Z ##[endgroup] 2025-09-07T07:38:16.7765068Z ##[group]Fetching the repository 2025-09-07T07:38:16.7770481Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:38:50.2274294Z From https://github.com/pytorch/pytorch 2025-09-07T07:38:50.2274684Z * [new branch] 160583 -> origin/160583 2025-09-07T07:38:50.2274992Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:38:50.2275631Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:38:50.2276458Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:38:50.2281271Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:38:50.2281661Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:38:50.2282137Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:38:50.2282522Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:38:50.2282852Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:38:50.2283209Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:38:50.2283857Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:38:50.2284205Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:38:50.2284521Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:38:50.2284842Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:38:50.2285156Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:38:50.2285497Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:38:50.2285913Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:38:50.2286296Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:38:50.2286632Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:38:50.2286974Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:38:50.2287298Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:38:50.2287588Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:38:50.2287876Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:38:50.2288157Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:38:50.2288439Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:38:50.2288721Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:38:50.2289022Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:38:50.2289558Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:38:50.2290296Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:38:50.2290924Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:38:50.2291399Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:38:50.2292637Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:38:50.2293174Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:38:50.2293759Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:38:50.2294767Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:38:50.2295269Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:38:50.2296094Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:38:50.2296657Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:38:50.2297297Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:38:50.2297815Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:38:50.2298659Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:38:50.2299290Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:38:50.2300098Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:38:50.2300650Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:38:50.2301142Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:38:50.2301753Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:38:50.2302255Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:38:50.2302840Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:38:50.2303391Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:38:50.2303993Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:38:50.2304550Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:38:50.2305458Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:38:50.2305963Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:38:50.2306526Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-09-07T07:38:50.2307126Z * [new branch] aoti_target_windows -> origin/aoti_target_windows 2025-09-07T07:38:50.2307620Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-09-07T07:38:50.2308376Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-09-07T07:38:50.2308941Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-09-07T07:38:50.2309507Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-09-07T07:38:50.2310218Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-09-07T07:38:50.2310727Z * [new branch] atalman-patch-4 -> origin/atalman-patch-4 2025-09-07T07:38:50.2311461Z * [new branch] atalman-patch-5 -> origin/atalman-patch-5 2025-09-07T07:38:50.2311954Z * [new branch] atalman-patch-6 -> origin/atalman-patch-6 2025-09-07T07:38:50.2312706Z * [new branch] atalman_inductor_2.3.0 -> origin/atalman_inductor_2.3.0 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2025-09-07T07:38:50.5416825Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-09-07T07:38:50.5417376Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-09-07T07:38:50.5417937Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-09-07T07:38:50.5418612Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-09-07T07:38:50.5419172Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-09-07T07:38:50.5420191Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-09-07T07:38:50.5420756Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-09-07T07:38:50.5421356Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-09-07T07:38:50.5421941Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-09-07T07:38:50.5422463Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-09-07T07:38:50.5422993Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-09-07T07:38:50.5423625Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-09-07T07:38:50.5424068Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-09-07T07:38:50.5424665Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-09-07T07:38:50.5425292Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-09-07T07:38:50.5425807Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-09-07T07:38:50.5426338Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-09-07T07:38:50.5426879Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-09-07T07:38:50.5427573Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-09-07T07:38:50.5428137Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-09-07T07:38:50.5428702Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-09-07T07:38:50.5429300Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-09-07T07:38:50.5429863Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-09-07T07:38:50.5430396Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-09-07T07:38:50.5431100Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:38:50.5431592Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-09-07T07:38:50.5432119Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-09-07T07:38:50.5432652Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-09-07T07:38:50.5433135Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-09-07T07:38:50.5433751Z * [new branch] xmfan/test -> origin/xmfan/test 2025-09-07T07:38:50.5434769Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-09-07T07:38:50.5435307Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-09-07T07:38:50.5435948Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-09-07T07:38:50.5436551Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-09-07T07:38:50.5437474Z * [new branch] yiming/add_jit_trace_benchmark -> origin/yiming/add_jit_trace_benchmark 2025-09-07T07:38:50.5438023Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-09-07T07:38:50.5438443Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-09-07T07:38:50.5439677Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-09-07T07:38:50.5440375Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-09-07T07:38:50.5440771Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-09-07T07:38:50.5441364Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-09-07T07:38:50.5441917Z * [new branch] zainr/test -> origin/zainr/test 2025-09-07T07:38:50.5442464Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-09-07T07:38:50.5443054Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-09-07T07:38:50.5443582Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-09-07T07:38:50.5444297Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-09-07T07:38:50.5444886Z * [new branch] zb2p -> origin/zb2p 2025-09-07T07:38:50.5445718Z * [new branch] zero_grad_optimization -> origin/zero_grad_optimization 2025-09-07T07:38:50.5446327Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-09-07T07:38:50.5447285Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-09-07T07:38:50.5448101Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-09-07T07:38:50.5448912Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:38:50.5449676Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:38:50.5450048Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:38:50.5450648Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:38:50.5451005Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:38:50.5451377Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:38:50.5451758Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:38:50.5452121Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:38:50.5452482Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:38:50.5452976Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:38:50.5453353Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:38:50.5453734Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:38:50.5454118Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:38:50.5455027Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:38:50.5455321Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:38:50.5455679Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:38:50.5456267Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:38:50.5456583Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:38:50.5456937Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:38:50.5457294Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:38:50.5457911Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:38:50.5458208Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:38:50.5458806Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:38:50.5459117Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:38:50.5459650Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:38:50.5459927Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:38:50.5460737Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:38:50.5461007Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:38:50.5461413Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:38:50.5461789Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:38:50.5462146Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:38:50.5462542Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:38:50.5463065Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:38:50.5463382Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:38:50.5464013Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:38:50.5464407Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:38:50.5465254Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:38:50.5465648Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:38:50.5466095Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:38:50.5466442Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:38:50.5467326Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:38:50.5467680Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:38:50.5468109Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:38:50.5468503Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:38:50.5468917Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:38:50.5469512Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:38:50.5469933Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:38:50.5470315Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:38:50.5470893Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:38:50.5471477Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:38:50.5471847Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:38:50.5472402Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:38:50.5472724Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:38:50.5473084Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:38:50.5473843Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:38:50.5474117Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:38:50.5474527Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:38:50.5474885Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:38:50.5475483Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:38:50.5475746Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:38:50.5476077Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:38:50.5476484Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:38:50.5477054Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:38:50.5477576Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:38:50.5477957Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:38:50.5478485Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:38:50.5478874Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:38:50.5479288Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:38:50.5484446Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:38:50.5484960Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:38:50.5485295Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:38:50.5485863Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:38:50.5486205Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:38:50.5486566Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:38:50.5487150Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:38:50.5487371Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:38:50.5487999Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:38:50.5488274Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:38:50.5488913Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:38:50.5489495Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:38:50.5489786Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:38:50.5490449Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:38:50.5491095Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:38:50.5491460Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:38:50.5492058Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:38:50.5492392Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:38:50.5492906Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:38:50.5493305Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:38:50.5493681Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:38:50.5494278Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:38:50.5495207Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:38:50.5495511Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:38:50.5496021Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:38:50.5496285Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:38:50.5496741Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:38:50.5497101Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:38:50.5497475Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:38:50.5497850Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:38:50.5498295Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:38:50.5498718Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:38:50.5499225Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:38:50.5499518Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:38:50.5500219Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:38:50.5500554Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:38:50.5500930Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:38:50.5501295Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:38:50.5501748Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:38:50.5502086Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:38:50.5502753Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:38:50.5503015Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:38:50.5503649Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:38:50.5503967Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:38:50.5504357Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:38:50.5504735Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:38:50.5505122Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:38:50.5505677Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:38:50.5506008Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:38:50.5506405Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:38:50.5507223Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:38:50.5507742Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:38:50.5508025Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:38:50.5508713Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:38:50.5509023Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:38:50.5509418Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:38:50.5509791Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:38:50.5510376Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:38:50.5510631Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:38:50.5511146Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:38:50.5511425Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:38:50.5511860Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:38:50.5512631Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:38:50.5512911Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:38:50.5513354Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:38:50.5513720Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:38:50.5514142Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:38:50.5514672Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:38:50.5514943Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:38:50.5515523Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:38:50.5515766Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:38:50.5516294Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:38:50.5516594Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:38:50.5517183Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:38:50.5517450Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:38:50.5517964Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:38:50.5518272Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:38:50.5518708Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:38:50.5519061Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:38:50.5519439Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:38:50.5519836Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:38:50.5520339Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:38:50.5520854Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:38:50.5521129Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:38:50.5521750Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:38:50.5522008Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:38:50.5522540Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:38:50.5522909Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:38:50.5523279Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:38:50.5523730Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:38:50.5524073Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:38:50.5524498Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:38:50.5524856Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:38:50.5525363Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:38:50.5525670Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:38:50.5526026Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:38:50.5526464Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:38:50.5526822Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:38:50.5527350Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:38:50.5527700Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:38:50.5528079Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:38:50.5528530Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:38:50.5528862Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:38:50.5529295Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:38:50.5529633Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:38:50.5530085Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:38:50.5530415Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:38:50.5530847Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:38:50.5531386Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:38:50.5531707Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:38:50.5532091Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:38:50.5532481Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:38:50.5532876Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:38:50.5533269Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:38:50.5534187Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:38:50.5534554Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:38:50.5534944Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:38:50.5535446Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:38:50.5535803Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:38:50.5536196Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:38:50.5536576Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:38:50.5536963Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:38:50.5537348Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:38:50.5537869Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:38:50.5538151Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:38:50.5538538Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:38:50.5539095Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:38:50.5539635Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:38:50.5539922Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:38:50.5540293Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:38:50.5540698Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:38:50.5541058Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:38:50.5541579Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:38:50.5541834Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:38:50.5542379Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:38:50.5542600Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:38:50.5543225Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:38:50.5543475Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:38:50.5543992Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:38:50.5544409Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:38:50.5544780Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:38:50.5545159Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:38:50.5545727Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:38:50.5546053Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:38:50.5546457Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:38:50.5546804Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:38:50.5547191Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:38:50.5547564Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:38:50.5548008Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:38:50.5548366Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:38:50.5549028Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:38:50.5549148Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:38:50.5550597Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:38:50.5550761Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:38:50.5550879Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:38:50.5550993Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:38:50.5551146Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:38:50.5551787Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:38:50.5552128Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:38:50.5552477Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:38:50.5552886Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:38:50.5553245Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:38:50.5553658Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:38:50.5554029Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:38:50.5554418Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:38:50.5554800Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:38:50.5555198Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:38:50.5555586Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:38:50.5555977Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:38:50.5556359Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:38:50.5557008Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:38:50.5557412Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:38:50.5557954Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:38:50.5558424Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:38:50.5558763Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:38:50.5559131Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:38:50.5559702Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:38:50.5559967Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:38:50.5560345Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:38:50.5560710Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:38:50.5561201Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:38:50.5561524Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:38:50.5562040Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:38:50.5562375Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:38:50.5562874Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:38:50.5563465Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:38:50.5563930Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:38:50.5564608Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:38:50.5564925Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:38:50.5565318Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:38:50.5565650Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:38:50.5566047Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:38:50.5566608Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:38:50.5566960Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:38:50.5567477Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:38:50.5568002Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:38:50.5568487Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:38:50.5569108Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:38:50.5569778Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:38:50.5570384Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:38:50.5570914Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:38:50.5571493Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:38:50.5572080Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:38:50.5572467Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:38:50.5572909Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:38:50.5573257Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:38:50.5573761Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:38:50.5574091Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:38:50.5574420Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:38:50.5574768Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:38:50.5575125Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:38:50.5575670Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:38:50.5576019Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:38:50.5576318Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:38:50.5576918Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:38:50.5577536Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:38:50.5577825Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:38:50.5578356Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:38:50.5578685Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:38:50.5579332Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:38:50.5579656Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:38:50.5580035Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:38:50.5580416Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:38:50.5581011Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:38:50.5581293Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:38:50.5581801Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:38:50.5582123Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:38:50.5582490Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:38:50.5583104Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:38:50.5583610Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:38:50.5584138Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:38:50.5584376Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:38:50.5584870Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:38:50.5585473Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:38:50.5585845Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:38:50.5586717Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:38:50.5586975Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:38:50.5587327Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:38:50.5587867Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:38:50.5588377Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:38:50.5588732Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:38:50.5589418Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:38:50.5590044Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:38:50.5590542Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:38:50.5591128Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:38:50.5591513Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:38:50.5592427Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:38:50.5593004Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:38:50.5593568Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:38:50.5593891Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:38:50.5594467Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:38:50.5594968Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:38:50.5595710Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:38:50.5595985Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:38:50.5596494Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:38:50.5596929Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:38:50.5597204Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:38:50.5597561Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:38:50.5597913Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:38:50.5598492Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:38:50.5599210Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:38:50.5599506Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:38:50.5599902Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:38:50.5600241Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:38:50.5600612Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:38:50.5601300Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:38:50.5601811Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:38:50.5602359Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:38:50.5602682Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:38:50.5603061Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:38:50.5603439Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:38:50.5603815Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:38:50.5604202Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:38:50.5604706Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:38:50.5605157Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:38:50.5605511Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:38:50.5606123Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:38:50.5606402Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:38:50.5606968Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:38:50.5607245Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:38:50.5607750Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:38:50.5608028Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:38:50.5608486Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:38:50.5608804Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:38:50.5609189Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:38:50.5609606Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:38:50.5609951Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:38:50.5610456Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:38:50.5610747Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:38:50.5611304Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:38:50.5611628Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:38:50.5612209Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:38:50.5612589Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:38:50.5612987Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:38:50.5613422Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:38:50.5613757Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:38:50.5614141Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:38:50.5614690Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:38:50.5615004Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:38:50.5615372Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:38:50.5615734Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:38:50.5616275Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:38:50.5616593Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:38:50.5617380Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:38:50.5617696Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:38:50.5618062Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:38:50.5618451Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:38:50.5618820Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:38:50.5619207Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:38:50.5619581Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:38:50.5619979Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:38:50.5620346Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:38:50.5620718Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:38:50.5621215Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:38:50.5621514Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:38:50.5621955Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:38:50.5622281Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:38:50.5622712Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:38:50.5623051Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:38:50.5623446Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:38:50.5623808Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:38:50.5624408Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:38:50.5624914Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:38:50.5625139Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:38:50.5625935Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:38:50.5626235Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:38:50.5626574Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:38:50.5626957Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:38:50.5627351Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:38:50.5627906Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:38:50.5628258Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:38:50.5628624Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:38:50.5629248Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:38:50.5629614Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:38:50.5630001Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:38:50.5630365Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:38:50.5630726Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:38:50.5631305Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:38:50.5631563Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:38:50.5632062Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:38:50.5632349Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:38:50.5632856Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:38:50.5633168Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:38:50.5633518Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:38:50.5634022Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:38:50.5634318Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:38:50.5634696Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:38:50.5635193Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:38:50.5635491Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:38:50.5636024Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:38:50.5636252Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:38:50.5636688Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:38:50.5637036Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:38:50.5637535Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:38:50.5637845Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:38:50.5638200Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:38:50.5638802Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:38:50.5639195Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:38:50.5639559Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:38:50.5640109Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:38:50.5640398Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:38:50.5641031Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:38:50.5641331Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:38:50.5641860Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:38:50.5642136Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:38:50.5642528Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:38:50.5643082Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:38:50.5643394Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:38:50.5644077Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:38:50.5644480Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:38:50.5645376Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:38:50.5645657Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:38:50.5646207Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:38:50.5646523Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:38:50.5647044Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:38:50.5647324Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:38:50.5647701Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:38:50.5648340Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:38:50.5648622Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:38:50.5648994Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:38:50.5649344Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:38:50.5649850Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:38:50.5650353Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:38:50.5650882Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:38:50.5651528Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:38:50.5651851Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:38:50.5652341Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:38:50.5652644Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:38:50.5653223Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:38:50.5653759Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:38:50.5654115Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:38:50.5654716Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:38:50.5655358Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:38:50.5655950Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:38:50.5656442Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:38:50.5656779Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:38:50.5657343Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:38:50.5657793Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:38:50.5658160Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:38:50.5658768Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:38:50.5659120Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:38:50.5659688Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:38:50.5660032Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:38:50.5660396Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:38:50.5661273Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:38:50.5661642Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:38:50.5662185Z * [new tag] flight_5 -> flight_5 2025-09-07T07:38:50.5662721Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:38:50.5663220Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:38:50.5663589Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:38:50.5664086Z * [new tag] forpull1 -> forpull1 2025-09-07T07:38:50.5664703Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:38:50.5665185Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:38:50.5665608Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:38:50.5666169Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:38:50.5666473Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:38:50.5667079Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:38:50.5667813Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:38:50.5668254Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:38:50.5669025Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:38:50.5669744Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:38:50.5670178Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:38:50.5670695Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:38:50.5671293Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:38:50.5671737Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:38:50.5672388Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:38:50.5672804Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:38:50.5673261Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:38:50.5673753Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:38:50.5674238Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:38:50.5675313Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:38:50.5675802Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:38:50.5676262Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:38:50.5676924Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:38:50.5677279Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:38:50.5677756Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:38:50.5678222Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:38:50.5678692Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:38:50.5679192Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:38:50.5679742Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:38:50.5680230Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:38:50.5680722Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:38:50.5681173Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:38:50.5681666Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:38:50.5682131Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:38:50.5683144Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:38:50.5683518Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:38:50.5684061Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:38:50.5684416Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:38:50.5685131Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:38:50.5685501Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:38:50.5686160Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:38:50.5686497Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:38:50.5687105Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:38:50.5687522Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:38:50.5687960Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:38:50.5688466Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:38:50.5688927Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:38:50.5689476Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:38:50.5689966Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:38:50.5690432Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:38:50.5691387Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:38:50.5691822Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:38:50.5692294Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:38:50.5692785Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:38:50.5693287Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:38:50.5693902Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:38:50.5694269Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:38:50.5694741Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:38:50.5695207Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:38:50.5695653Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:38:50.5696146Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:38:50.5696604Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:38:50.5697078Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:38:50.5697465Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:38:50.5697958Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:38:50.5698412Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:38:50.5698847Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:38:50.5699315Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:38:50.5699794Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:38:50.5700264Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:38:50.5700750Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:38:50.5701406Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:38:50.5701821Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:38:50.5702338Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:38:50.5702751Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:38:50.5703217Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:38:50.5703685Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:38:50.5704155Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:38:50.5704619Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:38:50.5705103Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:38:50.5705568Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:38:50.5705973Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:38:50.5706472Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:38:50.5706968Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:38:50.5707332Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:38:50.5707970Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:38:50.5708331Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:38:50.5708836Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:38:50.5709311Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:38:50.5709866Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:38:50.5710298Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:38:50.5710727Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:38:50.5711399Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:38:50.5711793Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:38:50.5712253Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:38:50.5712756Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:38:50.5713441Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:38:50.5713776Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:38:50.5714253Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:38:50.5714953Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:38:50.5715294Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:38:50.5715773Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:38:50.5716270Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:38:50.5716721Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:38:50.5717436Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:38:50.5717721Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:38:50.5718211Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:38:50.5718662Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:38:50.5719624Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:38:50.5719941Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:38:50.5720454Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:38:50.5720891Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:38:50.5721395Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:38:50.5721849Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:38:50.5722808Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:38:50.5723200Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:38:50.5723888Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:38:50.5725572Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:38:50.5725788Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:38:50.5726004Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:38:50.5726883Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:38:50.5727094Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:38:50.5727448Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:38:50.5727810Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:38:50.5728202Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:38:50.5729061Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:38:50.5729492Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:38:50.5729949Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:38:50.5730402Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:38:50.5730797Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:38:50.5731279Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:38:50.5731783Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:38:50.5732261Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:38:50.5732884Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:38:50.5733264Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:38:50.5734001Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:38:50.5734462Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:38:50.5735070Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:38:50.5735493Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:38:50.5736111Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:38:50.5736601Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:38:50.5737152Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:38:50.5737640Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:38:50.5738107Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:38:50.5738609Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:38:50.5739094Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:38:50.5739995Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:38:50.5740447Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:38:50.5741194Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:38:50.5741616Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:38:50.5742284Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:38:50.5742666Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:38:50.5743414Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:50.5743816Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:38:50.5744518Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:38:50.5744986Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:38:50.5745453Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:38:50.5745951Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:38:50.5746442Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:38:50.5747168Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:38:50.5747547Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:38:50.5748018Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:38:50.5748626Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:38:50.5749060Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:38:50.5749533Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:38:50.5750142Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:38:50.5750550Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:38:50.5751057Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:38:50.5751725Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:38:50.5752131Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:38:50.5752742Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:38:50.5753180Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:38:50.5753659Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:38:50.5754114Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:38:50.5754614Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:38:50.5755128Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:38:50.5755603Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:38:50.5756094Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:38:50.5756940Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:38:50.5757371Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:38:50.5757807Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:38:50.5758304Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:38:50.5758799Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:38:50.5759505Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:38:50.5759898Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:38:50.5760382Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:38:50.5761012Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:38:50.5761453Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:38:50.5761935Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:38:50.5762541Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:38:50.5762988Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:38:50.5763629Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:38:50.5763970Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:38:50.5764466Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:38:50.5764933Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:38:50.5765416Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:38:50.5765913Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:38:50.5766521Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:38:50.5766934Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:38:50.5767658Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:38:50.5768145Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:38:50.5768627Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:38:50.5769270Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:38:50.5769710Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:38:50.5770269Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:38:50.5770761Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:38:50.5771254Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:38:50.5771678Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:38:50.5772167Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:38:50.5772674Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:38:50.5773253Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:38:50.5773724Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:38:50.5774388Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:38:50.5774851Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:38:50.5775338Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:38:50.5775849Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:38:50.5776345Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:38:50.5776908Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:38:50.5777281Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:38:50.5777829Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:38:50.5778294Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:38:50.5778850Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:38:50.5779326Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:38:50.5779793Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:38:50.5780386Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:38:50.5780869Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:38:50.5781369Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:38:50.5781959Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:38:50.5782572Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:38:50.5783013Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:38:50.5783525Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:38:50.5784016Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:38:50.5784684Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:38:50.5785247Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:38:50.5785722Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:38:50.5786212Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:38:50.5786709Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:38:50.5787176Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:38:50.5787600Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:38:50.5788156Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:38:50.5789058Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:38:50.5789776Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:38:50.5790638Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:38:50.5791066Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:38:50.5791550Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:38:50.5792059Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:38:50.5792509Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:38:50.5793201Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:38:50.5793513Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:38:50.5794026Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:38:50.5794528Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:38:50.5795023Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:38:50.5795578Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:38:50.5796203Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:38:50.5796633Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:38:50.5797148Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:38:50.5797755Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:38:50.5798073Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:38:50.5798588Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:38:50.5799044Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:38:50.5799473Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:38:50.5800097Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:38:50.5800471Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:38:50.5800897Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:38:50.5801587Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:38:50.5802052Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:38:50.5802551Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:38:50.5803161Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:38:50.5803631Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:38:50.5804137Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:38:50.5804782Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:38:50.5805253Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:38:50.5805796Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:38:50.5806221Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:38:50.5806722Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:38:50.5807215Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:38:50.5807987Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:38:50.5808388Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:38:50.5808804Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:38:50.5809327Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:38:50.5809723Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:38:50.5810179Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:38:50.5810635Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:38:50.5811084Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:38:50.5811468Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:38:50.5811964Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:38:50.5812441Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:38:50.5812801Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:38:50.5813277Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:38:50.5813665Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:38:50.5814146Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:38:50.5814569Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:38:50.5815027Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:38:50.5815553Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:38:50.5816033Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:38:50.5816447Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:38:50.5816970Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:38:50.5817448Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:38:50.5818217Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:38:50.5818808Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:38:50.5819199Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:38:50.5819803Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:38:50.5820193Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:38:50.5820959Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:38:50.5821503Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:38:50.5822040Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:38:50.5822320Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:38:50.5822892Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:38:50.5823125Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:38:50.5823566Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:38:50.5823890Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:38:50.5824442Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:38:50.5824935Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:38:50.5825519Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:38:50.5825901Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:38:50.5826571Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:38:50.5826945Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:38:50.5827306Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:38:50.5827680Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:38:50.5828276Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:38:50.5828632Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:38:50.5829219Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:38:50.5829722Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:38:50.5830229Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:38:50.5830578Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:38:50.5831205Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:38:50.5831483Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:38:50.5831836Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:38:50.5832323Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:38:50.5833028Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:38:50.5833453Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:38:50.5834082Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:38:50.5834469Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:38:50.5834808Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:38:50.5835427Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:38:50.5835768Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:38:50.5836324Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:38:50.5836687Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:38:50.5837361Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:38:50.5837616Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:38:50.5837995Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:38:50.5838592Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:38:50.5838850Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:38:50.5839432Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:38:50.5839958Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:38:50.5840199Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:38:50.5840793Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:38:50.5841066Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:38:50.5841686Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:38:50.5842065Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:38:50.5842439Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:38:50.5843047Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:38:50.5843576Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:38:50.5844092Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:38:50.5844581Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:38:50.5844962Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:38:50.5845310Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:38:50.5845971Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:38:50.5846293Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:38:50.5846663Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:38:50.5847324Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:38:50.5847867Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:38:50.5848702Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:38:50.5849059Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:38:50.5849742Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:38:50.5850063Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:38:50.5850411Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:38:50.5851008Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:38:50.5851512Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:38:50.5852091Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:38:50.5852441Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:38:50.5852832Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:38:50.5853407Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:38:50.5853940Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:38:50.5854428Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:38:50.5854735Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:38:50.5855382Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:38:50.5855588Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:38:50.5856182Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:38:50.5856558Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:38:50.5857148Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:38:50.5857415Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:38:50.5857909Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:38:50.5858417Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:38:50.5858714Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:38:50.5859033Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:38:50.5860026Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:38:50.5860348Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:38:50.5861000Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:38:50.5861330Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:38:50.5861978Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:38:50.5862477Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:38:50.5862859Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:38:50.5863490Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:38:50.5864113Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:38:50.5864356Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:38:50.5864965Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:38:50.5865290Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:38:50.5865877Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:38:50.5866473Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:38:50.5867010Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:38:50.5867318Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:38:50.5867692Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:38:50.5868338Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:38:50.5868905Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:38:50.5869114Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:38:50.5869659Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:38:50.5869917Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:38:50.5870935Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:38:50.5871254Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:38:50.5871889Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:38:50.5872389Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:38:50.5872928Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:38:50.5873437Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:38:50.5873655Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:38:50.5874248Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:38:50.5874736Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:38:50.5875342Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:38:50.5875793Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:38:50.5876295Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:38:50.5876791Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:38:50.5877086Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:38:50.5877611Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:38:50.5878240Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:38:50.5878901Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:38:50.5879136Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:38:50.5883234Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:38:50.5883736Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:38:50.5884224Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:38:50.5884743Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:38:50.5885052Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:38:50.5885739Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:38:50.5886030Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:38:50.5886370Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:38:50.5886865Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:38:50.5887329Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:38:50.5887883Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:38:50.5888227Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:38:50.5888561Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:38:50.5888942Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:38:50.5889593Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:38:50.5889861Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:38:50.5890213Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:38:50.5890799Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:38:50.5891211Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:38:50.5891803Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:38:50.5892504Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:38:50.5892810Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:38:50.5893324Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:38:50.5893861Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:38:50.5894260Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:38:50.5894880Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:38:50.5895207Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:38:50.5895630Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:38:50.5896164Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:38:50.5896501Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:38:50.5896857Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:38:50.5897469Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:38:50.5897828Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:38:50.5898438Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:38:50.5899146Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:38:50.5899324Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:38:50.5899865Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:38:50.5900253Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:38:50.5900874Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:38:50.5901377Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:38:50.5901776Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:38:50.5902381Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:38:50.5902726Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:38:50.5903428Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:38:50.5903618Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:38:50.5904456Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:38:50.5904803Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:38:50.5905442Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:38:50.5905952Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:38:50.5906621Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:38:50.5906974Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:38:50.5907363Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:38:50.5907934Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:38:50.5908343Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:38:50.5908957Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:38:50.5909556Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:38:50.5909924Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:38:50.5910545Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:38:50.5910938Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:38:50.5911313Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:38:50.5911650Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:38:50.5912075Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:38:50.5912840Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:38:50.5913161Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:38:50.5914118Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:38:50.5914457Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:38:50.5915320Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:38:50.5915840Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:38:50.5916380Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:38:50.5917005Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:38:50.5917421Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:38:50.5918125Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:38:50.5918539Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:38:50.5918882Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:38:50.5919611Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:38:50.5920019Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:38:50.5920600Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:38:50.5921028Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:38:50.5921537Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:38:50.5922191Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:38:50.5922732Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:38:50.5923252Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:38:50.5923573Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:38:50.5924181Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:38:50.5924589Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:38:50.5925315Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:38:50.5925726Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:38:50.5926313Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:38:50.5926717Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:38:50.5927412Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:38:50.5927753Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:38:50.5928502Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:38:50.5928869Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:38:50.5929463Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:38:50.5930077Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:38:50.5930468Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:38:50.5931041Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:38:50.5931591Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:38:50.5932140Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:38:50.5932514Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:38:50.6340293Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:38:50.6359746Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:50.6381645Z ##[endgroup] 2025-09-07T07:38:50.6381858Z ##[group]Determining the checkout info 2025-09-07T07:38:50.6382028Z ##[endgroup] 2025-09-07T07:38:50.6382135Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:38:50.6400311Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:38:50.6419429Z ##[group]Checking out the ref 2025-09-07T07:38:50.6422164Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:51.5971684Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:38:51.5971895Z 2025-09-07T07:38:51.5972049Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:38:51.5972597Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:38:51.5972950Z state without impacting any branches by switching back to a branch. 2025-09-07T07:38:51.5973139Z 2025-09-07T07:38:51.5973268Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:38:51.5973568Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:38:51.5973732Z 2025-09-07T07:38:51.5973826Z git switch -c 2025-09-07T07:38:51.5973950Z 2025-09-07T07:38:51.5974029Z Or undo this operation with: 2025-09-07T07:38:51.5974152Z 2025-09-07T07:38:51.5974214Z git switch - 2025-09-07T07:38:51.5974311Z 2025-09-07T07:38:51.5974457Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:38:51.5974648Z 2025-09-07T07:38:51.5974771Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:38:51.6027246Z ##[endgroup] 2025-09-07T07:38:51.6027540Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:38:51.6032354Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:38:51.6067379Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:38:51.6089925Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:38:51.6110855Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:38:51.6128582Z ##[endgroup] 2025-09-07T07:38:51.6128847Z ##[group]Fetching submodules 2025-09-07T07:38:51.6131738Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:38:51.6395715Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:38:51.6634982Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:38:51.6868853Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:38:51.6869481Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:38:51.6870028Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:38:51.6870567Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:38:51.6879414Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:38:51.6880507Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:38:51.6882082Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:38:51.6883810Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:38:51.6886301Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:38:51.6892828Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:38:51.6894628Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:38:51.6896490Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:38:51.6898286Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:38:51.6906186Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:38:51.6908306Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:38:51.6911171Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:38:51.6913253Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:38:51.6915349Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:38:51.6923545Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:38:51.6925669Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:38:51.6927833Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:38:51.6930041Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:38:51.6939400Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:38:51.6941883Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:38:51.6944130Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:38:51.6946488Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:38:51.6948778Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:38:51.6957407Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:38:51.6959850Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:38:51.6962393Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:38:51.6965108Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:38:51.6973629Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:38:51.6977223Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:38:51.6980035Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:38:51.6982816Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:38:51.6985697Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:38:51.7016671Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:38:51.9114023Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:38:51.9114704Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:38:51.9115142Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:38:51.9115585Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:38:51.9169384Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:38:52.0700056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:38:52.0700906Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:38:52.0701460Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:38:52.0701990Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:38:52.0702516Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:38:52.0703052Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:38:52.0766571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:38:52.9050572Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:38:52.9051273Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:38:52.9051777Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:38:52.9052247Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:38:52.9052714Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:38:52.9053218Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:38:52.9053661Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:38:52.9054098Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:38:52.9054540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:38:52.9054971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:38:52.9055395Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:38:52.9055817Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:38:52.9056269Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:38:52.9056713Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:38:53.0051469Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:39:01.0178816Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:39:01.0179380Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:39:01.0179776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:39:01.0180162Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:39:01.0180612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:39:01.0181282Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:39:01.0181697Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:39:01.0182117Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:39:01.0182507Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:39:01.0300294Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:39:01.0389379Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:39:01.0456344Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:39:01.0637580Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:39:01.1247245Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:39:01.1649125Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:39:01.6530060Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:39:01.7710122Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:39:01.7720427Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:01.7740370Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:39:04.8030770Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:39:04.8202837Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:39:05.0482771Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:39:05.0826119Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:39:05.1602975Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:39:05.1945814Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:39:05.6671817Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:39:05.7745233Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:39:05.7756195Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:05.7757549Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:05.7758676Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:05.7759943Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:05.7761333Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:05.7762748Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:05.7764157Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:39:05.7786782Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:39:06.8093611Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:39:06.8094227Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:39:06.8094784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:39:06.8095324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:39:06.9093432Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:39:07.5191261Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:39:11.0317039Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:39:11.2118850Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:39:11.2911119Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:39:11.7624180Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:39:11.7985884Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:39:11.8074034Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:39:11.8874994Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:39:11.9394099Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:39:11.9402995Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:11.9404073Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:11.9424146Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:39:14.7648285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:39:14.9319595Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:39:15.3566380Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:39:15.4542409Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:39:15.4793200Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:39:15.5091570Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:39:15.5270456Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:39:15.5615813Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:39:15.5712482Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:39:15.5727024Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:15.5743971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:39:26.9130430Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:39:26.9281299Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:39:27.0044027Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:39:27.0054070Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:27.0054794Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:27.0056163Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:27.0077191Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:39:27.5705487Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:39:27.8509934Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:39:27.9136640Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:39:27.9147852Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:27.9149037Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:27.9150340Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:27.9151736Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:27.9153014Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:27.9154449Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:27.9156039Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:27.9157554Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:27.9179983Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:39:29.0488045Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:39:29.0488774Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:39:29.0489409Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:39:29.0490041Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:39:29.0490681Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:39:29.0491322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:39:29.1487855Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:39:34.4696111Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:39:34.4827490Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:39:34.5099227Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:39:34.5194968Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:39:34.5207292Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:34.5226692Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:39:34.7727185Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:39:34.7874160Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:39:34.8201244Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:39:34.8997506Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:39:34.9123358Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:39:34.9425702Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:39:34.9888843Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:39:35.0219531Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:39:35.0567475Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:39:35.1422811Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:39:35.4095972Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:39:35.4118569Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:35.4139696Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:39:36.2285848Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:39:36.2765945Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:39:36.2776107Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:36.2777361Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:36.2778585Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:36.2780282Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:36.2781800Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:36.2783174Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:36.2784977Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:36.2786494Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:36.2807318Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:39:36.6323704Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:39:36.6324716Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:39:36.6325417Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:39:36.6326084Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:39:36.7328433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:39:37.1337927Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:39:42.3523118Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:39:42.4166406Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:39:42.4475351Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:39:42.4604322Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:39:42.5399203Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:39:42.5503740Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:39:42.5607264Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:39:42.5713890Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:39:42.5725261Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:42.5726529Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:42.5745248Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:39:43.9667667Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:39:44.1674258Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:39:44.2031462Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:39:44.5071614Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:39:44.5161459Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-09-07T07:39:44.7222803Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-09-07T07:39:44.7236973Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:44.7237805Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:44.7257507Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-09-07T07:39:45.3676718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-09-07T07:39:45.6831845Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-09-07T07:39:45.7388743Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-09-07T07:39:45.7461733Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-09-07T07:39:45.7559216Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-09-07T07:39:45.7863062Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-09-07T07:39:45.8068961Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-09-07T07:39:45.8402995Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-09-07T07:39:45.8597262Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-09-07T07:39:45.8609094Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:45.8610088Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:45.8611403Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:45.8612703Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:45.8633956Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-09-07T07:39:46.9323724Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-09-07T07:39:46.9399898Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-09-07T07:39:47.1582566Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-09-07T07:39:47.2034019Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-09-07T07:39:47.2151286Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-09-07T07:39:47.2722365Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-09-07T07:39:47.2945087Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-09-07T07:39:47.2958013Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:47.2978493Z Cloning into 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2025-09-07T07:39:48.1518850Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T07:39:48.1754530Z Entering 'android/libs/fbjni' 2025-09-07T07:39:48.1791357Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:39:48.1802725Z Entering 'third_party/FP16' 2025-09-07T07:39:48.1842944Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:39:48.1856552Z Entering 'third_party/FXdiv' 2025-09-07T07:39:48.1897059Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:39:48.1907522Z Entering 'third_party/NNPACK' 2025-09-07T07:39:48.1946568Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-09-07T07:39:48.6747313Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:39:48.6982994Z Entering 'android/libs/fbjni' 2025-09-07T07:39:48.7016217Z Entering 'third_party/FP16' 2025-09-07T07:39:48.7049344Z Entering 'third_party/FXdiv' 2025-09-07T07:39:48.7084291Z Entering 'third_party/NNPACK' 2025-09-07T07:39:48.7113278Z Entering 'third_party/NVTX' 2025-09-07T07:39:48.7142723Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:48.7175232Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:48.7219759Z Entering 'third_party/aiter' 2025-09-07T07:39:48.7248632Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:48.7285133Z Entering 'third_party/benchmark' 2025-09-07T07:39:48.7316742Z Entering 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2025-09-07T07:39:48.9417239Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:48.9449461Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:48.9480582Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:48.9512858Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:48.9545400Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:48.9598058Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:39:48.9835723Z Entering 'android/libs/fbjni' 2025-09-07T07:39:48.9863512Z Entering 'third_party/FP16' 2025-09-07T07:39:48.9896715Z Entering 'third_party/FXdiv' 2025-09-07T07:39:48.9931003Z Entering 'third_party/NNPACK' 2025-09-07T07:39:48.9964985Z Entering 'third_party/NVTX' 2025-09-07T07:39:48.9998560Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:49.0029764Z Entering 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2025-09-07T07:39:49.0559406Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:49.0589201Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:49.0622316Z Entering 'third_party/flash-attention' 2025-09-07T07:39:49.0656174Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:49.0692335Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:49.0730643Z Entering 'third_party/flatbuffers' 2025-09-07T07:39:49.0765686Z Entering 'third_party/fmt' 2025-09-07T07:39:49.0798810Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:39:49.0829332Z Entering 'third_party/gloo' 2025-09-07T07:39:49.0861176Z Entering 'third_party/googletest' 2025-09-07T07:39:49.0893380Z Entering 'third_party/ideep' 2025-09-07T07:39:49.0926086Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:49.0963081Z Entering 'third_party/ittapi' 2025-09-07T07:39:49.0995160Z Entering 'third_party/kineto' 2025-09-07T07:39:49.1025867Z Entering 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:49.1756269Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:49.1789465Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:49.1819109Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:49.1850445Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:49.1884374Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:49.1915625Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:49.1962515Z Entering 'third_party/pocketfft' 2025-09-07T07:39:49.1998291Z Entering 'third_party/protobuf' 2025-09-07T07:39:49.2030779Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:49.2064796Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:49.2097595Z Entering 'third_party/psimd' 2025-09-07T07:39:49.2127610Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:49.2160112Z Entering 'third_party/pybind11' 2025-09-07T07:39:49.2190886Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:49.2220417Z Entering 'third_party/sleef' 2025-09-07T07:39:49.2253352Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:49.2285441Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:49.2316978Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:49.2349874Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:49.2385634Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:49.2415929Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:49.2459184Z ##[endgroup] 2025-09-07T07:39:49.2488244Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:39:49.2507875Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:39:49.2586502Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:39:49.2586764Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:39:49.2586975Z # Clean stale submodule dirs 2025-09-07T07:39:49.2587185Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:39:49.2587431Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:49.2587731Z else 2025-09-07T07:39:49.2587934Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:49.2588162Z fi 2025-09-07T07:39:49.2596420Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:49.2596658Z env: 2025-09-07T07:39:49.2596815Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.2596995Z NO_SUDO: true 2025-09-07T07:39:49.2597150Z ##[endgroup] 2025-09-07T07:39:49.2857035Z Entering 'android/libs/fbjni' 2025-09-07T07:39:49.2884637Z Entering 'third_party/FP16' 2025-09-07T07:39:49.2912534Z Entering 'third_party/FXdiv' 2025-09-07T07:39:49.2937917Z Entering 'third_party/NNPACK' 2025-09-07T07:39:49.2967035Z Entering 'third_party/NVTX' 2025-09-07T07:39:49.2999156Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:49.3023722Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:49.3109574Z Entering 'third_party/aiter' 2025-09-07T07:39:49.3140634Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:49.3218009Z Entering 'third_party/benchmark' 2025-09-07T07:39:49.3242057Z Entering 'third_party/composable_kernel' 2025-09-07T07:39:49.3320056Z Entering 'third_party/cpp-httplib' 2025-09-07T07:39:49.3345094Z Entering 'third_party/cpuinfo' 2025-09-07T07:39:49.3371715Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:39:49.3399270Z Entering 'third_party/cutlass' 2025-09-07T07:39:49.3470971Z Entering 'third_party/fbgemm' 2025-09-07T07:39:49.3516068Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:49.3540281Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:49.3615816Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:49.3640440Z Entering 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'third_party/ittapi' 2025-09-07T07:39:49.4220900Z Entering 'third_party/kineto' 2025-09-07T07:39:49.4248836Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:49.4277028Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:49.4311108Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:49.4334425Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:49.4359875Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:49.4383410Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:49.4408330Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:49.4429169Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:49.4451997Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:49.4482252Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:49.4507457Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:49.4532499Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:49.4559430Z Entering 'third_party/kleidiai' 2025-09-07T07:39:49.4587201Z Entering 'third_party/mimalloc' 2025-09-07T07:39:49.4614436Z Entering 'third_party/nlohmann' 2025-09-07T07:39:49.4645175Z Entering 'third_party/onnx' 2025-09-07T07:39:49.4861744Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:49.4888134Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:49.4927859Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:49.4953266Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:49.4980049Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:49.5001165Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:49.5030056Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:49.5055011Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:49.5080137Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:49.5105498Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:49.5136996Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:49.5163071Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:49.5335211Z Entering 'third_party/pocketfft' 2025-09-07T07:39:49.5359236Z Entering 'third_party/protobuf' 2025-09-07T07:39:49.5411925Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:49.5436760Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:49.5464977Z Entering 'third_party/psimd' 2025-09-07T07:39:49.5488676Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:49.5510443Z Entering 'third_party/pybind11' 2025-09-07T07:39:49.5535310Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:49.5561648Z Entering 'third_party/sleef' 2025-09-07T07:39:49.5589779Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:49.5615202Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:49.5637798Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:49.5660296Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:49.5689207Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:49.5714614Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:49.5832262Z Prepare all required actions 2025-09-07T07:39:49.5832709Z Getting action download info 2025-09-07T07:39:49.7021586Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:39:49.7021808Z env: 2025-09-07T07:39:49.7021971Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.7022150Z ##[endgroup] 2025-09-07T07:39:49.7049383Z ##[group]Run set -euo pipefail 2025-09-07T07:39:49.7049647Z set -euo pipefail 2025-09-07T07:39:49.7049858Z function get_ec2_metadata() { 2025-09-07T07:39:49.7050114Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:39:49.7050523Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:39:49.7050883Z  category=$1 2025-09-07T07:39:49.7051126Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:39:49.7051402Z  runner_name_str=i-046e182f934d54502 2025-09-07T07:39:49.7051674Z  if [[ -f /.inarc ]]; then 2025-09-07T07:39:49.7051910Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:39:49.7052161Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:39:49.7052459Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:39:49.7052721Z  else 2025-09-07T07:39:49.7053261Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T07:39:49.7053782Z  fi 2025-09-07T07:39:49.7053934Z } 2025-09-07T07:39:49.7054253Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:39:49.7054535Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:39:49.7054844Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:39:49.7055106Z echo "system info $(uname -a)" 2025-09-07T07:39:49.7059765Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:49.7060010Z env: 2025-09-07T07:39:49.7060172Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.7060348Z ##[endgroup] 2025-09-07T07:39:49.7171672Z ami-id: ami-05ffe3c48a9991133 2025-09-07T07:39:49.7249630Z instance-id: i-046e182f934d54502 2025-09-07T07:39:49.7327480Z instance-type: c7i.metal-24xl 2025-09-07T07:39:49.7337148Z system info Linux ip-10-0-1-11.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:39:49.7378280Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:49.7378857Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:49.7383250Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:49.7383489Z env: 2025-09-07T07:39:49.7383643Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.7383810Z ##[endgroup] 2025-09-07T07:39:49.7415633Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:39:49.7415917Z if systemctl is-active --quiet docker; then 2025-09-07T07:39:49.7416149Z  echo "Docker daemon is running..."; 2025-09-07T07:39:49.7416355Z else 2025-09-07T07:39:49.7416580Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:39:49.7416824Z fi 2025-09-07T07:39:49.7420485Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:49.7420764Z env: 2025-09-07T07:39:49.7420939Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.7421110Z ##[endgroup] 2025-09-07T07:39:49.7483417Z Docker daemon is running... 2025-09-07T07:39:49.7505813Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:39:49.7506021Z with: 2025-09-07T07:39:49.7506162Z shell: bash 2025-09-07T07:39:49.7506420Z timeout_minutes: 5 2025-09-07T07:39:49.7506587Z max_attempts: 3 2025-09-07T07:39:49.7506749Z retry_wait_seconds: 30 2025-09-07T07:39:49.7508009Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T07:39:49.7509235Z polling_interval_seconds: 1 2025-09-07T07:39:49.7509426Z warning_on_retry: true 2025-09-07T07:39:49.7509590Z continue_on_error: false 2025-09-07T07:39:49.7509758Z env: 2025-09-07T07:39:49.7509909Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:49.7510082Z AWS_RETRY_MODE: standard 2025-09-07T07:39:49.7510242Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:39:49.7510415Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:39:49.7510595Z ##[endgroup] 2025-09-07T07:39:50.6354156Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:50.6354669Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:50.6355040Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:50.6355257Z 2025-09-07T07:39:50.6355333Z Login Succeeded 2025-09-07T07:39:50.8867484Z Command completed after 1 attempt(s). 2025-09-07T07:39:50.8905419Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:50.8905883Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:50.8906158Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:50.8913458Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:50.8913700Z env: 2025-09-07T07:39:50.8913857Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:50.8914029Z ##[endgroup] 2025-09-07T07:39:50.8968332Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:50.8968677Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:50.8968933Z # shellcheck disable=SC2046 2025-09-07T07:39:50.8969145Z docker stop $(docker ps -q) || true 2025-09-07T07:39:50.8969350Z # Prune all of the docker images 2025-09-07T07:39:50.8969554Z docker system prune -af 2025-09-07T07:39:50.8973548Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:50.8973793Z env: 2025-09-07T07:39:50.8973935Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:50.8974101Z ##[endgroup] 2025-09-07T07:39:50.9434507Z "docker stop" requires at least 1 argument. 2025-09-07T07:39:50.9434784Z See 'docker stop --help'. 2025-09-07T07:39:50.9434923Z 2025-09-07T07:39:50.9435050Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:39:50.9435217Z 2025-09-07T07:39:50.9435304Z Stop one or more running containers 2025-09-07T07:39:50.9611169Z Total reclaimed space: 0B 2025-09-07T07:39:50.9632645Z ##[group]Run set +e 2025-09-07T07:39:50.9632838Z set +e 2025-09-07T07:39:50.9633002Z set -x 2025-09-07T07:39:50.9633159Z  2025-09-07T07:39:50.9633331Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:50.9633675Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:39:50.9634107Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:39:50.9634426Z # one is returned at random 2025-09-07T07:39:50.9634684Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:39:50.9634912Z  2025-09-07T07:39:50.9635176Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:50.9635450Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:39:50.9635763Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:39:50.9636002Z  2025-09-07T07:39:50.9636161Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:50.9636412Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:39:50.9636639Z  exit 1 2025-09-07T07:39:50.9636800Z  fi 2025-09-07T07:39:50.9636940Z fi 2025-09-07T07:39:50.9637085Z  2025-09-07T07:39:50.9637261Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:39:50.9637495Z  # Clean up any old records first 2025-09-07T07:39:50.9637714Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:39:50.9637919Z fi 2025-09-07T07:39:50.9638062Z  2025-09-07T07:39:50.9638269Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:39:50.9638499Z cat /etc/hosts 2025-09-07T07:39:50.9642776Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:50.9643007Z env: 2025-09-07T07:39:50.9643162Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:50.9643330Z ##[endgroup] 2025-09-07T07:39:50.9659002Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:50.9664151Z ++ tail -n1 2025-09-07T07:39:50.9665101Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:39:51.0090586Z + RESOLVED_IP=18.160.10.76 2025-09-07T07:39:51.0090937Z + '[' -z 18.160.10.76 ']' 2025-09-07T07:39:51.0091212Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:39:51.0101917Z + echo '18.160.10.76 download.pytorch.org' 2025-09-07T07:39:51.0102446Z + sudo tee -a /etc/hosts 2025-09-07T07:39:51.2902558Z 18.160.10.76 download.pytorch.org 2025-09-07T07:39:51.2914396Z + cat /etc/hosts 2025-09-07T07:39:51.2920726Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:39:51.2924984Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:39:51.2925221Z 18.160.10.76 download.pytorch.org 2025-09-07T07:39:51.3022034Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:39:51.3022352Z with: 2025-09-07T07:39:51.3022905Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.3023502Z use-custom-docker-registry: true 2025-09-07T07:39:51.3023717Z docker-build-dir: .ci/docker 2025-09-07T07:39:51.3023932Z docker-build-script: ./build.sh 2025-09-07T07:39:51.3024143Z working-directory: . 2025-09-07T07:39:51.3024403Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.3024660Z force-push: false 2025-09-07T07:39:51.3024829Z env: 2025-09-07T07:39:51.3024992Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:51.3025182Z ##[endgroup] 2025-09-07T07:39:51.3036763Z ##[group]Run set -ex 2025-09-07T07:39:51.3036980Z set -ex 2025-09-07T07:39:51.3037140Z  2025-09-07T07:39:51.3037434Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:39:51.3037817Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:39:51.3038141Z # job could then download the pre-built image as usual 2025-09-07T07:39:51.3038541Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:39:51.3038912Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3039131Z else 2025-09-07T07:39:51.3039307Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3039572Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3039814Z  2025-09-07T07:39:51.3040142Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:39:51.3040502Z  exit 0 2025-09-07T07:39:51.3040645Z fi 2025-09-07T07:39:51.3040786Z  2025-09-07T07:39:51.3040999Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:39:51.3041345Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:39:51.3041655Z  # use it as it is, but first let's extract the tag 2025-09-07T07:39:51.3041936Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:39:51.3042242Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3042528Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3042773Z else 2025-09-07T07:39:51.3042953Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:39:51.3043188Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:39:51.3043432Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:39:51.3043642Z  fi 2025-09-07T07:39:51.3043922Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:39:51.3044268Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3044633Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3045029Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3045360Z fi 2025-09-07T07:39:51.3050374Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:51.3050600Z env: 2025-09-07T07:39:51.3050759Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:51.3050941Z REPO_NAME: pytorch 2025-09-07T07:39:51.3051545Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.3052078Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:51.3052263Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:39:51.3052510Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.3052759Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:39:51.3052950Z CUSTOM_TAG_PREFIX: 2025-09-07T07:39:51.3053113Z ##[endgroup] 2025-09-07T07:39:51.3071523Z + [[ -d .ci/docker ]] 2025-09-07T07:39:51.3071741Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:39:51.3071937Z + [[ true == \t\r\u\e ]] 2025-09-07T07:39:51.3072118Z + echo skip=false 2025-09-07T07:39:51.3073090Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T07:39:51.3077720Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.3078246Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:39:51.3094241Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.3094827Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.3095544Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.3112329Z ##[group]Run set +e 2025-09-07T07:39:51.3112540Z set +e 2025-09-07T07:39:51.3112698Z set -x 2025-09-07T07:39:51.3112852Z  2025-09-07T07:39:51.3112989Z login() { 2025-09-07T07:39:51.3113293Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:51.3113608Z } 2025-09-07T07:39:51.3113753Z  2025-09-07T07:39:51.3113887Z retry () { 2025-09-07T07:39:51.3114069Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:51.3114270Z } 2025-09-07T07:39:51.3114409Z  2025-09-07T07:39:51.3114556Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:51.3114748Z  2025-09-07T07:39:51.3114896Z START_TIME=$(date +%s) 2025-09-07T07:39:51.3115090Z # Wait up to 120 minutes 2025-09-07T07:39:51.3115326Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:39:51.3115623Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:39:51.3115913Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:39:51.3116134Z  exit 0 2025-09-07T07:39:51.3116292Z  fi 2025-09-07T07:39:51.3116432Z  2025-09-07T07:39:51.3116673Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:39:51.3117055Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:39:51.3117432Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:39:51.3117742Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:39:51.3117982Z  # It's a Docker build job, let's build the image 2025-09-07T07:39:51.3118191Z  break 2025-09-07T07:39:51.3118348Z  else 2025-09-07T07:39:51.3118647Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:39:51.3118890Z  sleep 300 2025-09-07T07:39:51.3119059Z  fi 2025-09-07T07:39:51.3119212Z done 2025-09-07T07:39:51.3119359Z  2025-09-07T07:39:51.3119575Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:39:51.3119980Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:39:51.3120286Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:39:51.3120564Z  # if we're on the base branch then use the parent commit 2025-09-07T07:39:51.3120812Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:39:51.3120999Z else 2025-09-07T07:39:51.3121207Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:39:51.3121496Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:39:51.3121722Z fi 2025-09-07T07:39:51.3121858Z  2025-09-07T07:39:51.3122022Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:39:51.3122251Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3122457Z  2025-09-07T07:39:51.3122731Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:39:51.3123045Z  exit 0 2025-09-07T07:39:51.3123197Z fi 2025-09-07T07:39:51.3123336Z  2025-09-07T07:39:51.3123534Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:39:51.3123916Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:39:51.3124243Z  exit 1 2025-09-07T07:39:51.3124390Z fi 2025-09-07T07:39:51.3124529Z  2025-09-07T07:39:51.3124749Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:39:51.3125130Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:39:51.3125468Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:39:51.3125860Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:39:51.3126290Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:39:51.3126547Z fi 2025-09-07T07:39:51.3126690Z  2025-09-07T07:39:51.3126863Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:51.3131300Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:51.3131539Z env: 2025-09-07T07:39:51.3131688Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:51.3131877Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:51.3132112Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:39:51.3132691Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.3133384Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.3133822Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.3134066Z DOCKER_PUSH: 2025-09-07T07:39:51.3134228Z ##[endgroup] 2025-09-07T07:39:51.3152945Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.3153226Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.3154066Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:51.3155934Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:51.6851949Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:51.6852582Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:51.6852938Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:51.6853161Z 2025-09-07T07:39:51.6853235Z Login Succeeded 2025-09-07T07:39:51.6866666Z ++ date +%s 2025-09-07T07:39:51.6873863Z + START_TIME=1757230791 2025-09-07T07:39:51.6876688Z ++ date +%s 2025-09-07T07:39:51.6883525Z + [[ 1757223591 -lt 1757230791 ]] 2025-09-07T07:39:51.6884094Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:51.9075623Z { 2025-09-07T07:39:51.9075789Z "schemaVersion": 2, 2025-09-07T07:39:51.9076053Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:39:51.9076338Z "config": { 2025-09-07T07:39:51.9076580Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:39:51.9076829Z "size": 30269, 2025-09-07T07:39:51.9077113Z "digest": "sha256:662d8c9dfc7db2f5d004293de4f2b7647941dee4c916479ef082d17fcdfd9c47" 2025-09-07T07:39:51.9077397Z }, 2025-09-07T07:39:51.9077527Z "layers": [ 2025-09-07T07:39:51.9077667Z { 2025-09-07T07:39:51.9077881Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9078138Z "size": 30448359, 2025-09-07T07:39:51.9078406Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:39:51.9078786Z }, 2025-09-07T07:39:51.9078920Z { 2025-09-07T07:39:51.9079208Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9079452Z "size": 1554, 2025-09-07T07:39:51.9079715Z "digest": "sha256:18a5ee5b0e2e283bf6d7b9c4c312b0448c75eff1c43446c22c5139a3aeec97fe" 2025-09-07T07:39:51.9079998Z }, 2025-09-07T07:39:51.9080133Z { 2025-09-07T07:39:51.9080334Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9080587Z "size": 313297813, 2025-09-07T07:39:51.9080860Z "digest": 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"sha256:7ddca6c4c050460204097ba875dc0fa03eca6265122a18c0b8dc5504152aea53" 2025-09-07T07:39:51.9159814Z }, 2025-09-07T07:39:51.9159937Z { 2025-09-07T07:39:51.9160136Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9160380Z "size": 1012, 2025-09-07T07:39:51.9160645Z "digest": "sha256:a95e1f2f1aadef03514a7cdbdac1fe83d4eebedbb80df9be868a223f27e1c263" 2025-09-07T07:39:51.9160927Z }, 2025-09-07T07:39:51.9161054Z { 2025-09-07T07:39:51.9161255Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9161496Z "size": 724, 2025-09-07T07:39:51.9161736Z "digest": "sha256:da63046995a2e510b7146776371a14bff4b31002cc3ef0322e45a3932fba2031" 2025-09-07T07:39:51.9162003Z }, 2025-09-07T07:39:51.9162135Z { 2025-09-07T07:39:51.9162336Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9162569Z "size": 135, 2025-09-07T07:39:51.9162818Z "digest": "sha256:8085756b0cc0f9588f23a73c27840a5dff48cc18c3a2f0311e4d1ef291855679" 2025-09-07T07:39:51.9163090Z }, 2025-09-07T07:39:51.9163218Z { 2025-09-07T07:39:51.9163407Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9163646Z "size": 32, 2025-09-07T07:39:51.9163894Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.9164168Z }, 2025-09-07T07:39:51.9164290Z { 2025-09-07T07:39:51.9164490Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9164733Z "size": 158, 2025-09-07T07:39:51.9164981Z "digest": "sha256:7e9ff0c6f103b18756f01c60b4d57a951660f17bffb1810b330e3ff703caf216" 2025-09-07T07:39:51.9165249Z }, 2025-09-07T07:39:51.9165380Z { 2025-09-07T07:39:51.9165581Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9165822Z "size": 1369, 2025-09-07T07:39:51.9166069Z "digest": "sha256:a625cbbc05b983aeb4c28702a4a5b65c68191ab1b8d17978f7d98cc17ddf3c52" 2025-09-07T07:39:51.9166347Z }, 2025-09-07T07:39:51.9166480Z { 2025-09-07T07:39:51.9166683Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9166916Z "size": 32, 2025-09-07T07:39:51.9167170Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.9167445Z }, 2025-09-07T07:39:51.9167578Z { 2025-09-07T07:39:51.9167771Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9168013Z "size": 136, 2025-09-07T07:39:51.9168253Z "digest": "sha256:4e28486424310870c8d6815524440f17c6e0afe7572eaa173a811b98b4920bed" 2025-09-07T07:39:51.9168563Z }, 2025-09-07T07:39:51.9168684Z { 2025-09-07T07:39:51.9168883Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9169126Z "size": 380, 2025-09-07T07:39:51.9169374Z "digest": "sha256:5e944f1ed1bef9442f5b1b86225d3958ea8f2f7f4c6aa7b92dc5d0c810c260bc" 2025-09-07T07:39:51.9169645Z }, 2025-09-07T07:39:51.9169773Z { 2025-09-07T07:39:51.9170015Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9170259Z "size": 32, 2025-09-07T07:39:51.9170503Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.9170782Z }, 2025-09-07T07:39:51.9170911Z { 2025-09-07T07:39:51.9171111Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9171344Z "size": 104, 2025-09-07T07:39:51.9171589Z "digest": "sha256:41619248f604c60e038a02bfd462af96ee2996b77be5f59f05e9ac5fe4790e5a" 2025-09-07T07:39:51.9171861Z }, 2025-09-07T07:39:51.9171995Z { 2025-09-07T07:39:51.9172188Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9172429Z "size": 407, 2025-09-07T07:39:51.9172681Z "digest": "sha256:be86f8c4f654b9ae64a20eb7f960e6ce4baa5b46e0a1f5e1312b11492a40bcd4" 2025-09-07T07:39:51.9172959Z }, 2025-09-07T07:39:51.9173080Z { 2025-09-07T07:39:51.9173284Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9173525Z "size": 32, 2025-09-07T07:39:51.9173774Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.9174038Z }, 2025-09-07T07:39:51.9174167Z { 2025-09-07T07:39:51.9174368Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9174608Z "size": 109, 2025-09-07T07:39:51.9174852Z "digest": "sha256:ef1340e22a4bc8cf42e1d40961cb32d183cd3da8f0b785b5425c32ee067690c1" 2025-09-07T07:39:51.9175126Z }, 2025-09-07T07:39:51.9175254Z { 2025-09-07T07:39:51.9175458Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9175694Z "size": 1897, 2025-09-07T07:39:51.9175948Z "digest": "sha256:da8d8b696333cbf6b9f339ab859639c905d6752d7e65fea14c23c3c2dcba553e" 2025-09-07T07:39:51.9176223Z }, 2025-09-07T07:39:51.9176356Z { 2025-09-07T07:39:51.9176550Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9176798Z "size": 243443118, 2025-09-07T07:39:51.9177056Z "digest": "sha256:386b0c49c4982a821fb6f427fbc7d9c7d2012e97c96a514a9c7a09304e76b935" 2025-09-07T07:39:51.9177327Z }, 2025-09-07T07:39:51.9177447Z { 2025-09-07T07:39:51.9177645Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9177888Z "size": 106, 2025-09-07T07:39:51.9178146Z "digest": "sha256:2b1d0ea7efe0bf86e86df804d2cddbf83b113fdecd03f3ddfca728da30546f34" 2025-09-07T07:39:51.9178424Z }, 2025-09-07T07:39:51.9178552Z { 2025-09-07T07:39:51.9178754Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9178999Z "size": 163, 2025-09-07T07:39:51.9179288Z "digest": "sha256:04c04be7408f20625b1bd8454e5a08c91fcf04d4f79ab3ec1b75ae6b1824174d" 2025-09-07T07:39:51.9179564Z }, 2025-09-07T07:39:51.9179694Z { 2025-09-07T07:39:51.9179898Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9180132Z "size": 7943, 2025-09-07T07:39:51.9180393Z "digest": "sha256:f8690caa3ac5e845f2dcc25ad12815b5c7452285c3838a87c780bd03ecf072a3" 2025-09-07T07:39:51.9180673Z }, 2025-09-07T07:39:51.9180805Z { 2025-09-07T07:39:51.9181002Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9181242Z "size": 8074, 2025-09-07T07:39:51.9181498Z "digest": "sha256:2908d6baaa6b21331dee5f210472cae0874d22b98b0a35420cad4fd753ed215f" 2025-09-07T07:39:51.9181768Z }, 2025-09-07T07:39:51.9181882Z { 2025-09-07T07:39:51.9182083Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9182398Z "size": 303, 2025-09-07T07:39:51.9182635Z "digest": "sha256:37e2336101eba2c73995d34431e4fae8782d9e9700c42621777922490b2158ed" 2025-09-07T07:39:51.9182886Z }, 2025-09-07T07:39:51.9183011Z { 2025-09-07T07:39:51.9183197Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9183423Z "size": 32, 2025-09-07T07:39:51.9183698Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.9183960Z }, 2025-09-07T07:39:51.9184079Z { 2025-09-07T07:39:51.9184265Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9184487Z "size": 108, 2025-09-07T07:39:51.9184719Z "digest": "sha256:f1ac881fde33994861be4324231269058643168b9aee60c699552d0d92d965da" 2025-09-07T07:39:51.9184974Z }, 2025-09-07T07:39:51.9185089Z { 2025-09-07T07:39:51.9185269Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9185497Z "size": 54145699, 2025-09-07T07:39:51.9185738Z "digest": "sha256:43b14c67347e2813c5f63e928c14db60dbb35c330ccc865510cf79739d8b78a1" 2025-09-07T07:39:51.9185996Z }, 2025-09-07T07:39:51.9186113Z { 2025-09-07T07:39:51.9186306Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:51.9186537Z "size": 32, 2025-09-07T07:39:51.9186779Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:51.9187037Z } 2025-09-07T07:39:51.9187155Z ] 2025-09-07T07:39:51.9187276Z } 2025-09-07T07:39:51.9187418Z + exit 0 2025-09-07T07:39:51.9206761Z ##[group]Run set -eux 2025-09-07T07:39:51.9206951Z set -eux 2025-09-07T07:39:51.9207210Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:39:51.9207835Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T07:39:51.9212519Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:51.9212755Z env: 2025-09-07T07:39:51.9212911Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:51.9213088Z ##[endgroup] 2025-09-07T07:39:51.9234716Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:39:51.9235015Z + jq -r .docker_hub_readonly_token 2025-09-07T07:39:51.9235232Z + jq --raw-output .SecretString 2025-09-07T07:39:51.9235571Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:39:52.3296479Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:52.3296849Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:52.3297091Z Login Succeeded 2025-09-07T07:39:52.3297386Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:52.3297608Z 2025-09-07T07:39:52.3374313Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:52.3374581Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:52.3374838Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:39:52.3379043Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:52.3379551Z env: 2025-09-07T07:39:52.3379723Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:52.3380283Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.3380797Z ##[endgroup] 2025-09-07T07:39:52.3399336Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.3427461Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:39:52.3427725Z with: 2025-09-07T07:39:52.3428194Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.3428843Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:52.3429082Z env: 2025-09-07T07:39:52.3429229Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:52.3429400Z ##[endgroup] 2025-09-07T07:39:52.3438292Z ##[group]Run set -x 2025-09-07T07:39:52.3438473Z set -x 2025-09-07T07:39:52.3438625Z set +e 2025-09-07T07:39:52.3438771Z  2025-09-07T07:39:52.3438904Z login() { 2025-09-07T07:39:52.3439201Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:52.3439504Z } 2025-09-07T07:39:52.3439646Z  2025-09-07T07:39:52.3439820Z retry () { 2025-09-07T07:39:52.3439997Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:52.3440185Z } 2025-09-07T07:39:52.3440324Z  2025-09-07T07:39:52.3440479Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:52.3440675Z  2025-09-07T07:39:52.3440955Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:39:52.3441328Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:39:52.3441551Z  2025-09-07T07:39:52.3441690Z set -e 2025-09-07T07:39:52.3441901Z # ignore output since only exit code is used for conditional 2025-09-07T07:39:52.3442191Z # only pull docker image if it's not available locally 2025-09-07T07:39:52.3442506Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:39:52.3442804Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:39:52.3443001Z fi 2025-09-07T07:39:52.3446947Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:52.3447187Z env: 2025-09-07T07:39:52.3447340Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:52.3447844Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.3448404Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:52.3448643Z ##[endgroup] 2025-09-07T07:39:52.3465819Z + set +e 2025-09-07T07:39:52.3466069Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:52.3466336Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:52.3469203Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:52.3469514Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:52.7128365Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:52.7128799Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:52.7129251Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:52.7129533Z 2025-09-07T07:39:52.7129846Z Login Succeeded 2025-09-07T07:39:52.7143368Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.7143974Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:39:52.9198426Z + IMAGE_SIZE=28579.020259857178 2025-09-07T07:39:52.9198688Z Compressed size of image in MB: 28579.020259857178 2025-09-07T07:39:52.9198974Z + echo 'Compressed size of image in MB: 28579.020259857178' 2025-09-07T07:39:52.9199216Z + set -e 2025-09-07T07:39:52.9199977Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.9337400Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:52.9338516Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:53.1697338Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:39:53.1697851Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:39:53.1698056Z 18a5ee5b0e2e: Pulling fs layer 2025-09-07T07:39:53.1698244Z 572424b92528: Pulling fs layer 2025-09-07T07:39:53.1698415Z 1c35b7d4b67c: Pulling fs layer 2025-09-07T07:39:53.1698601Z 68c20f3c23bb: Pulling fs layer 2025-09-07T07:39:53.1698783Z 7efa39950d32: Pulling fs layer 2025-09-07T07:39:53.1698983Z a10eb16a7271: Pulling fs layer 2025-09-07T07:39:53.1699161Z 7d52cf579654: Pulling fs layer 2025-09-07T07:39:53.1699340Z cb6a20fcf4e2: Pulling fs layer 2025-09-07T07:39:53.1699521Z 46fb6a8b3e1d: Pulling fs layer 2025-09-07T07:39:53.1699704Z 5ad6977cc38e: Pulling fs layer 2025-09-07T07:39:53.1699882Z da63046995a2: Pulling fs layer 2025-09-07T07:39:53.1700056Z 78243fdb9906: Pulling fs layer 2025-09-07T07:39:53.1700238Z 6f70d5d50aba: Pulling fs layer 2025-09-07T07:39:53.1700418Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:39:53.1700586Z 69715d3ad3c4: Pulling fs layer 2025-09-07T07:39:53.1700760Z 7ace90c063f3: Pulling fs layer 2025-09-07T07:39:53.1700938Z acbd5447dd14: Pulling fs layer 2025-09-07T07:39:53.1701113Z 744523d9b7f5: Pulling fs layer 2025-09-07T07:39:53.1701282Z 5bd615a7b945: Pulling fs layer 2025-09-07T07:39:53.1701459Z f4986a00e3ae: Pulling fs layer 2025-09-07T07:39:53.1701630Z 21902f6e4f8c: Pulling fs layer 2025-09-07T07:39:53.1701804Z d80602abf3cc: Pulling fs layer 2025-09-07T07:39:53.1701974Z 3c51bf0bc362: Pulling fs layer 2025-09-07T07:39:53.1702150Z 119ab3bceafa: Pulling fs layer 2025-09-07T07:39:53.1702326Z af8eadc9eaab: Pulling fs layer 2025-09-07T07:39:53.1702499Z e7769b0d7a82: Pulling fs layer 2025-09-07T07:39:53.1702668Z ba263639b0f4: Pulling fs layer 2025-09-07T07:39:53.1702847Z a5ab7a280382: Pulling fs layer 2025-09-07T07:39:53.1703023Z 80b2232d952f: Pulling fs layer 2025-09-07T07:39:53.1703199Z cc93cd65e90f: Pulling fs layer 2025-09-07T07:39:53.1703368Z 0eed4c15712b: Pulling fs layer 2025-09-07T07:39:53.1703545Z 092516f71fe3: Pulling fs layer 2025-09-07T07:39:53.1703718Z 8c0825014a62: Pulling fs layer 2025-09-07T07:39:53.1703891Z 8e0d2f63da0a: Pulling fs layer 2025-09-07T07:39:53.1704058Z 73aae7958ba1: Pulling fs layer 2025-09-07T07:39:53.1704237Z ac6077ec9fa5: Pulling fs layer 2025-09-07T07:39:53.1704414Z bf4ee4e45e92: Pulling fs layer 2025-09-07T07:39:53.1704592Z c1b766f9b961: Pulling fs layer 2025-09-07T07:39:53.1704758Z 6e726ef07b5d: Pulling fs layer 2025-09-07T07:39:53.1704935Z 364070434a64: Pulling fs layer 2025-09-07T07:39:53.1705113Z 71f708151a84: Pulling fs layer 2025-09-07T07:39:53.1705289Z 622d8cfb39ea: Pulling fs layer 2025-09-07T07:39:53.1705458Z 284119a92cb1: Pulling fs layer 2025-09-07T07:39:53.1705629Z 96695940d842: Pulling fs layer 2025-09-07T07:39:53.1705808Z 7ddca6c4c050: Pulling fs layer 2025-09-07T07:39:53.1705984Z a95e1f2f1aad: Pulling fs layer 2025-09-07T07:39:53.1706148Z 8085756b0cc0: Pulling fs layer 2025-09-07T07:39:53.1706320Z 7e9ff0c6f103: Pulling fs layer 2025-09-07T07:39:53.1706495Z a625cbbc05b9: Pulling fs layer 2025-09-07T07:39:53.1706694Z 4e2848642431: Pulling fs layer 2025-09-07T07:39:53.1706866Z 68c20f3c23bb: Waiting 2025-09-07T07:39:53.1707030Z 5e944f1ed1be: Pulling fs layer 2025-09-07T07:39:53.1707202Z 7efa39950d32: Waiting 2025-09-07T07:39:53.1707359Z a10eb16a7271: Waiting 2025-09-07T07:39:53.1707520Z 41619248f604: Pulling fs layer 2025-09-07T07:39:53.1707681Z 7d52cf579654: Waiting 2025-09-07T07:39:53.1707842Z be86f8c4f654: Pulling fs layer 2025-09-07T07:39:53.1708229Z cb6a20fcf4e2: Waiting 2025-09-07T07:39:53.1708409Z ef1340e22a4b: Pulling fs layer 2025-09-07T07:39:53.1708582Z da8d8b696333: Pulling fs layer 2025-09-07T07:39:53.1708755Z 21902f6e4f8c: Waiting 2025-09-07T07:39:53.1708917Z 386b0c49c498: Pulling fs layer 2025-09-07T07:39:53.1709160Z 8c0825014a62: Waiting 2025-09-07T07:39:53.1709305Z 46fb6a8b3e1d: Waiting 2025-09-07T07:39:53.1709461Z d80602abf3cc: Waiting 2025-09-07T07:39:53.1709623Z 2b1d0ea7efe0: Pulling fs layer 2025-09-07T07:39:53.1709794Z 5ad6977cc38e: Waiting 2025-09-07T07:39:53.1709939Z 8e0d2f63da0a: Waiting 2025-09-07T07:39:53.1710098Z 04c04be7408f: Pulling fs layer 2025-09-07T07:39:53.1710280Z f8690caa3ac5: Pulling fs layer 2025-09-07T07:39:53.1710454Z da63046995a2: Waiting 2025-09-07T07:39:53.1710608Z 2908d6baaa6b: Pulling fs layer 2025-09-07T07:39:53.1710785Z 37e2336101eb: Pulling fs layer 2025-09-07T07:39:53.1710947Z 96695940d842: Waiting 2025-09-07T07:39:53.1711092Z 78243fdb9906: Waiting 2025-09-07T07:39:53.1711255Z f1ac881fde33: Pulling fs layer 2025-09-07T07:39:53.1711427Z 3c51bf0bc362: Waiting 2025-09-07T07:39:53.1711582Z 73aae7958ba1: Waiting 2025-09-07T07:39:53.1711732Z 43b14c67347e: Pulling fs layer 2025-09-07T07:39:53.1711903Z 6f70d5d50aba: Waiting 2025-09-07T07:39:53.1712057Z 119ab3bceafa: Waiting 2025-09-07T07:39:53.1712216Z ac6077ec9fa5: Waiting 2025-09-07T07:39:53.1712363Z 7ddca6c4c050: Waiting 2025-09-07T07:39:53.1712518Z 4f4fb700ef54: Waiting 2025-09-07T07:39:53.1712671Z a95e1f2f1aad: Waiting 2025-09-07T07:39:53.1712828Z bf4ee4e45e92: Waiting 2025-09-07T07:39:53.1712976Z 69715d3ad3c4: Waiting 2025-09-07T07:39:53.1713134Z af8eadc9eaab: Waiting 2025-09-07T07:39:53.1713290Z 7ace90c063f3: Waiting 2025-09-07T07:39:53.1713445Z e7769b0d7a82: Waiting 2025-09-07T07:39:53.1713592Z a625cbbc05b9: Waiting 2025-09-07T07:39:53.1713748Z c1b766f9b961: Waiting 2025-09-07T07:39:53.1713899Z ba263639b0f4: Waiting 2025-09-07T07:39:53.1714051Z acbd5447dd14: Waiting 2025-09-07T07:39:53.1714196Z 6e726ef07b5d: Waiting 2025-09-07T07:39:53.1714348Z 8085756b0cc0: Waiting 2025-09-07T07:39:53.1714501Z 364070434a64: Waiting 2025-09-07T07:39:53.1714649Z 744523d9b7f5: Waiting 2025-09-07T07:39:53.1714795Z a5ab7a280382: Waiting 2025-09-07T07:39:53.1714946Z 7e9ff0c6f103: Waiting 2025-09-07T07:39:53.1715099Z 71f708151a84: Waiting 2025-09-07T07:39:53.1715250Z 5bd615a7b945: Waiting 2025-09-07T07:39:53.1715399Z 80b2232d952f: Waiting 2025-09-07T07:39:53.1715548Z 622d8cfb39ea: Waiting 2025-09-07T07:39:53.1715703Z f4986a00e3ae: Waiting 2025-09-07T07:39:53.1715845Z 284119a92cb1: Waiting 2025-09-07T07:39:53.1715997Z cc93cd65e90f: Waiting 2025-09-07T07:39:53.1716149Z 0eed4c15712b: Waiting 2025-09-07T07:39:53.1716302Z 092516f71fe3: Waiting 2025-09-07T07:39:53.1716442Z 4e2848642431: Waiting 2025-09-07T07:39:53.1716589Z 1c35b7d4b67c: Waiting 2025-09-07T07:39:53.1716740Z 5e944f1ed1be: Waiting 2025-09-07T07:39:53.1716891Z ef1340e22a4b: Waiting 2025-09-07T07:39:53.1717033Z 2908d6baaa6b: Waiting 2025-09-07T07:39:53.1717185Z 2b1d0ea7efe0: Waiting 2025-09-07T07:39:53.1717339Z 41619248f604: Waiting 2025-09-07T07:39:53.1717487Z da8d8b696333: Waiting 2025-09-07T07:39:53.1717629Z f8690caa3ac5: Waiting 2025-09-07T07:39:53.1717779Z 04c04be7408f: Waiting 2025-09-07T07:39:53.1717929Z be86f8c4f654: Waiting 2025-09-07T07:39:53.1718080Z 37e2336101eb: Waiting 2025-09-07T07:39:53.1718224Z 386b0c49c498: Waiting 2025-09-07T07:39:53.1718374Z 43b14c67347e: Waiting 2025-09-07T07:39:53.1718529Z f1ac881fde33: Waiting 2025-09-07T07:39:53.2398298Z 18a5ee5b0e2e: Verifying Checksum 2025-09-07T07:39:53.2400703Z 18a5ee5b0e2e: Download complete 2025-09-07T07:39:53.3335972Z 1c35b7d4b67c: Verifying Checksum 2025-09-07T07:39:53.3336217Z 1c35b7d4b67c: Download complete 2025-09-07T07:39:53.4098942Z 68c20f3c23bb: Verifying Checksum 2025-09-07T07:39:53.4099185Z 68c20f3c23bb: Download complete 2025-09-07T07:39:53.5056194Z 7efa39950d32: Verifying Checksum 2025-09-07T07:39:53.5056470Z 7efa39950d32: Download complete 2025-09-07T07:39:53.5283515Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:39:53.5284419Z e6fdc8487bfe: Download complete 2025-09-07T07:39:53.5741585Z a10eb16a7271: Download complete 2025-09-07T07:39:53.6021624Z 7d52cf579654: Verifying Checksum 2025-09-07T07:39:53.6021871Z 7d52cf579654: Download complete 2025-09-07T07:39:53.6699210Z 46fb6a8b3e1d: Download complete 2025-09-07T07:39:53.7570161Z 5ad6977cc38e: Download complete 2025-09-07T07:39:53.8403670Z da63046995a2: Download complete 2025-09-07T07:39:53.9225823Z 78243fdb9906: Verifying Checksum 2025-09-07T07:39:53.9226065Z 78243fdb9906: Download complete 2025-09-07T07:39:54.1668915Z e6fdc8487bfe: Pull complete 2025-09-07T07:39:54.1889887Z 18a5ee5b0e2e: Pull complete 2025-09-07T07:39:54.7392884Z cb6a20fcf4e2: Verifying Checksum 2025-09-07T07:39:54.7393157Z cb6a20fcf4e2: Download complete 2025-09-07T07:39:54.7476722Z 4f4fb700ef54: Download complete 2025-09-07T07:39:54.8298995Z 69715d3ad3c4: Verifying Checksum 2025-09-07T07:39:54.8299329Z 69715d3ad3c4: Download complete 2025-09-07T07:39:54.9029761Z 7ace90c063f3: Verifying Checksum 2025-09-07T07:39:54.9030042Z 7ace90c063f3: Download complete 2025-09-07T07:39:55.0045772Z acbd5447dd14: Verifying Checksum 2025-09-07T07:39:55.0046115Z acbd5447dd14: Download complete 2025-09-07T07:39:55.0866075Z 744523d9b7f5: Verifying Checksum 2025-09-07T07:39:55.0866315Z 744523d9b7f5: Download complete 2025-09-07T07:39:55.1799939Z 5bd615a7b945: Verifying Checksum 2025-09-07T07:39:55.1800191Z 5bd615a7b945: Download complete 2025-09-07T07:39:55.2644083Z f4986a00e3ae: Download complete 2025-09-07T07:39:55.3388801Z 21902f6e4f8c: Verifying Checksum 2025-09-07T07:39:55.3389157Z 21902f6e4f8c: Download complete 2025-09-07T07:39:55.4220566Z d80602abf3cc: Verifying Checksum 2025-09-07T07:39:55.4220903Z d80602abf3cc: Download complete 2025-09-07T07:39:55.5114650Z 3c51bf0bc362: Verifying Checksum 2025-09-07T07:39:55.5114994Z 3c51bf0bc362: Download complete 2025-09-07T07:39:55.5924721Z 119ab3bceafa: Verifying Checksum 2025-09-07T07:39:55.5925064Z 119ab3bceafa: Download complete 2025-09-07T07:39:55.6921145Z af8eadc9eaab: Download complete 2025-09-07T07:39:55.7536402Z e7769b0d7a82: Verifying Checksum 2025-09-07T07:39:55.7536644Z e7769b0d7a82: Download complete 2025-09-07T07:39:56.3674610Z 572424b92528: Verifying Checksum 2025-09-07T07:39:56.3675916Z 572424b92528: Download complete 2025-09-07T07:39:56.4803512Z a5ab7a280382: Verifying Checksum 2025-09-07T07:39:56.4803809Z a5ab7a280382: Download complete 2025-09-07T07:39:56.5804374Z 80b2232d952f: Verifying Checksum 2025-09-07T07:39:56.5808052Z 80b2232d952f: Download complete 2025-09-07T07:39:56.6695627Z cc93cd65e90f: Verifying Checksum 2025-09-07T07:39:56.6695979Z cc93cd65e90f: Download complete 2025-09-07T07:39:56.7635060Z 0eed4c15712b: Verifying Checksum 2025-09-07T07:39:56.7635313Z 0eed4c15712b: Download complete 2025-09-07T07:39:57.0172339Z 092516f71fe3: Verifying Checksum 2025-09-07T07:39:57.0172637Z 092516f71fe3: Download complete 2025-09-07T07:39:57.1160215Z 8c0825014a62: Verifying Checksum 2025-09-07T07:39:57.1160623Z 8c0825014a62: Download complete 2025-09-07T07:39:57.2049025Z 8e0d2f63da0a: Download complete 2025-09-07T07:39:57.3090933Z 73aae7958ba1: Download complete 2025-09-07T07:39:57.3986065Z ac6077ec9fa5: Verifying Checksum 2025-09-07T07:39:57.3986339Z ac6077ec9fa5: Download complete 2025-09-07T07:39:57.4844624Z bf4ee4e45e92: Verifying Checksum 2025-09-07T07:39:57.4844893Z bf4ee4e45e92: Download complete 2025-09-07T07:40:00.3374312Z ba263639b0f4: Verifying Checksum 2025-09-07T07:40:00.3374615Z ba263639b0f4: Download complete 2025-09-07T07:40:00.4429198Z 6e726ef07b5d: Verifying Checksum 2025-09-07T07:40:00.4429623Z 6e726ef07b5d: Download complete 2025-09-07T07:40:02.3672977Z 572424b92528: Pull complete 2025-09-07T07:40:02.7960786Z 1c35b7d4b67c: Pull complete 2025-09-07T07:40:03.2213192Z 68c20f3c23bb: Pull complete 2025-09-07T07:40:03.2282165Z 364070434a64: Verifying Checksum 2025-09-07T07:40:03.2282380Z 364070434a64: Download complete 2025-09-07T07:40:03.6236000Z 7efa39950d32: Pull complete 2025-09-07T07:40:04.1027125Z a10eb16a7271: Pull complete 2025-09-07T07:40:04.6341053Z 7d52cf579654: Pull complete 2025-09-07T07:40:06.7067109Z cb6a20fcf4e2: Pull complete 2025-09-07T07:40:06.9619341Z 46fb6a8b3e1d: Pull complete 2025-09-07T07:40:07.2657194Z 5ad6977cc38e: Pull complete 2025-09-07T07:40:07.6746478Z da63046995a2: Pull complete 2025-09-07T07:40:08.1130122Z 78243fdb9906: Pull complete 2025-09-07T07:40:27.9443578Z 6f70d5d50aba: Verifying Checksum 2025-09-07T07:40:27.9443867Z 6f70d5d50aba: Download complete 2025-09-07T07:40:28.0360286Z 622d8cfb39ea: Verifying Checksum 2025-09-07T07:40:28.0360529Z 622d8cfb39ea: Download complete 2025-09-07T07:40:28.1414612Z 284119a92cb1: Download complete 2025-09-07T07:40:28.2364227Z 96695940d842: Verifying Checksum 2025-09-07T07:40:28.2364475Z 96695940d842: Download complete 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2908d6baaa6b: Pull complete 2025-09-07T07:46:30.2168573Z 37e2336101eb: Pull complete 2025-09-07T07:46:31.1236950Z f1ac881fde33: Pull complete 2025-09-07T07:46:32.5833583Z 43b14c67347e: Pull complete 2025-09-07T07:46:33.1560200Z Digest: sha256:383efb45082f20b8c808cb0ba4df693a01359592233f641f1f486911ac320a9a 2025-09-07T07:46:33.2342273Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:33.2809036Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:33.2887952Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:33.2888600Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:33.2896515Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:33.2896758Z env: 2025-09-07T07:46:33.2896922Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:33.2897108Z ##[endgroup] 2025-09-07T07:46:33.2962618Z Prepare all required actions 2025-09-07T07:46:33.3041437Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:46:33.3041649Z with: 2025-09-07T07:46:33.3042117Z github-token: *** 2025-09-07T07:46:33.3042275Z env: 2025-09-07T07:46:33.3042423Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:33.3042588Z ##[endgroup] 2025-09-07T07:46:33.3154271Z ##[group]Run set -eux 2025-09-07T07:46:33.3154449Z set -eux 2025-09-07T07:46:33.3154718Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:46:33.3158496Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:33.3158724Z env: 2025-09-07T07:46:33.3158871Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:33.3159182Z GITHUB_TOKEN: *** 2025-09-07T07:46:33.3159347Z ##[endgroup] 2025-09-07T07:46:33.3177362Z + python3 .github/scripts/get_workflow_job_id.py 17525325007 i-046e182f934d54502 2025-09-07T07:46:33.5023759Z Setting output job-id=49775637404 2025-09-07T07:46:33.5086217Z Setting output job-name=inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:46:33.5115334Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:33.5115757Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:33.5116295Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:46:33.5116894Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:33.5120417Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:33.5120650Z env: 2025-09-07T07:46:33.5120801Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:33.5120980Z JOB_ID: 49775637404 2025-09-07T07:46:33.5121339Z JOB_NAME: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:46:33.5121743Z WORKFLOW_NAME: inductor-micro-benchmark-x86 2025-09-07T07:46:33.5121998Z WORKFLOW_RUN_ID: 17525325007 2025-09-07T07:46:33.5122176Z MONITOR_LOG_INTERVAL: 5 2025-09-07T07:46:33.5122358Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-09-07T07:46:33.5122548Z ##[endgroup] 2025-09-07T07:46:33.8781587Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:34.1168382Z Collecting psutil==5.9.8 2025-09-07T07:46:34.1479419Z 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) 2025-09-07T07:46:34.3086466Z Collecting dataclasses_json==0.6.7 2025-09-07T07:46:34.3176667Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:46:34.3633634Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:46:34.3730333Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:46:34.4925150Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:46:34.5013377Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:46:34.5886742Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:46:34.5973478Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:46:34.7290175Z Collecting packaging>=17.0 2025-09-07T07:46:34.7383401Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:46:34.8756238Z Collecting typing-extensions>=3.7.4 2025-09-07T07:46:34.8843157Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:46:34.9936111Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:46:35.0022493Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:46:35.2086243Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-09-07T07:46:35.5199676Z 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 2025-09-07T07:46:35.7283382Z Prepare all required actions 2025-09-07T07:46:35.7283639Z Getting action download info 2025-09-07T07:46:35.8874790Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:46:36.3704491Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:46:36.7623906Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:46:36.7624161Z with: 2025-09-07T07:46:36.7624328Z name: linux-jammy-py3.9-gcc11 2025-09-07T07:46:36.7624514Z s3-bucket: gha-artifacts 2025-09-07T07:46:36.7624691Z env: 2025-09-07T07:46:36.7624836Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:36.7625003Z ##[endgroup] 2025-09-07T07:46:36.7743474Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:36.7743692Z with: 2025-09-07T07:46:36.7743851Z name: linux-jammy-py3.9-gcc11 2025-09-07T07:46:36.7744041Z s3-bucket: gha-artifacts 2025-09-07T07:46:36.7744252Z region: us-east-1 2025-09-07T07:46:36.7744396Z env: 2025-09-07T07:46:36.7744538Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:36.7744702Z ##[endgroup] 2025-09-07T07:46:37.3995466Z (node:57364) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:37.3995814Z 2025-09-07T07:46:37.3996015Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:37.3996356Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:38.1717888Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:38.1718285Z Found 1 objects with prefix pytorch/pytorch/17525325007/linux-jammy-py3.9-gcc11/ 2025-09-07T07:46:38.1719057Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:44.0579539Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:44.0581481Z Artifact download has finished successfully 2025-09-07T07:46:44.0801967Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:46:44.0802201Z unzip -o artifacts.zip 2025-09-07T07:46:44.0807241Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:44.0807471Z env: 2025-09-07T07:46:44.0807620Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:44.0807797Z ##[endgroup] 2025-09-07T07:46:44.1202913Z Archive: artifacts.zip 2025-09-07T07:46:44.1203245Z creating: dist/ 2025-09-07T07:46:45.1307539Z inflating: dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:45.1411475Z inflating: dist/.ninja_log 2025-09-07T07:46:45.1411755Z creating: build/custom_test_artifacts/ 2025-09-07T07:46:45.1412049Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T07:46:45.1412381Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T07:46:45.1412748Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T07:46:45.1414523Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T07:46:45.1414905Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T07:46:45.1415272Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-09-07T07:46:45.1415670Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-09-07T07:46:45.1416055Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-09-07T07:46:45.1417419Z inflating: 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build/bin/op_allowlist_test 2025-09-07T07:46:50.1821205Z inflating: build/bin/op_registration_test 2025-09-07T07:46:50.1883340Z inflating: build/bin/inline_container_test 2025-09-07T07:46:50.2846681Z inflating: build/bin/test_jit 2025-09-07T07:46:50.2896081Z inflating: build/bin/BackoffTest 2025-09-07T07:46:50.2946332Z inflating: build/bin/FileStoreTest 2025-09-07T07:46:50.3278549Z inflating: build/bin/test_nativert 2025-09-07T07:46:50.3332546Z inflating: build/bin/TCPStoreTest 2025-09-07T07:46:50.3382378Z inflating: build/bin/HashStoreTest 2025-09-07T07:46:50.3444432Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:46:50.3446773Z inflating: build/bin/example_allreduce 2025-09-07T07:46:50.3498836Z inflating: build/bin/test_dist_autograd 2025-09-07T07:46:50.3562047Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:46:50.3564003Z inflating: build/bin/parallel_benchmark 2025-09-07T07:46:50.4557664Z inflating: build/bin/test_api 2025-09-07T07:46:50.4855926Z inflating: build/bin/test_lazy 2025-09-07T07:46:50.4858026Z inflating: build/bin/torch_shm_manager 2025-09-07T07:46:50.4858498Z creating: .additional_ci_files/ 2025-09-07T07:46:50.4934667Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:46:50.5227204Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:46:50.5329608Z ##[group]Run rm artifacts.zip 2025-09-07T07:46:50.5329848Z rm artifacts.zip 2025-09-07T07:46:50.5335190Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:50.5335428Z env: 2025-09-07T07:46:50.5335581Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.5335759Z ##[endgroup] 2025-09-07T07:46:50.5672792Z ##[group]Run df -H 2025-09-07T07:46:50.5672966Z df -H 2025-09-07T07:46:50.5676605Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:50.5676840Z env: 2025-09-07T07:46:50.5676992Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.5677178Z ##[endgroup] 2025-09-07T07:46:50.5707904Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:46:50.5708184Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:46:50.5708399Z tmpfs 102G 0 102G 0% /dev/shm 2025-09-07T07:46:50.5708619Z tmpfs 41G 11M 41G 1% /run 2025-09-07T07:46:50.5708841Z /dev/nvme0n1p1 215G 72G 144G 34% / 2025-09-07T07:46:50.5709070Z tmpfs 102G 13k 102G 1% /tmp 2025-09-07T07:46:50.5709327Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-09-07T07:46:50.5730327Z Prepare all required actions 2025-09-07T07:46:50.5731028Z Getting action download info 2025-09-07T07:46:50.7148180Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:46:50.7148406Z with: 2025-09-07T07:46:50.7148547Z env: 2025-09-07T07:46:50.7148685Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.7148842Z ##[endgroup] 2025-09-07T07:46:50.7367648Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:50.7367862Z with: 2025-09-07T07:46:50.7367996Z name: td_results 2025-09-07T07:46:50.7368149Z s3-bucket: gha-artifacts 2025-09-07T07:46:50.7368314Z region: us-east-1 2025-09-07T07:46:50.7368462Z env: 2025-09-07T07:46:50.7368595Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:50.7368757Z ##[endgroup] 2025-09-07T07:46:51.0641848Z (node:57389) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:51.0642136Z 2025-09-07T07:46:51.0642322Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:51.0642649Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:51.0642972Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:51.1492813Z Found 0 objects with prefix pytorch/pytorch/17525325007/td_results/ 2025-09-07T07:46:51.1495372Z Artifact download has finished successfully 2025-09-07T07:46:51.2882613Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:46:51.2882859Z mkdir -p .additional_ci_files 2025-09-07T07:46:51.2883128Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:46:51.2887949Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:51.2888176Z env: 2025-09-07T07:46:51.2888333Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:51.2888508Z ##[endgroup] 2025-09-07T07:46:51.2927241Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:46:51.3110639Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:46:51.3110875Z .github/scripts/parse_ref.py 2025-09-07T07:46:51.3114991Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:51.3115168Z env: 2025-09-07T07:46:51.3115317Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:51.3115481Z ##[endgroup] 2025-09-07T07:46:51.3591476Z Setting output branch=main 2025-09-07T07:46:51.3668198Z Prepare all required actions 2025-09-07T07:46:51.3668464Z Getting action download info 2025-09-07T07:46:51.4983017Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:46:51.4983236Z with: 2025-09-07T07:46:51.4983539Z github-token: *** 2025-09-07T07:46:51.4983933Z test-matrix: {"include": [{"config": "inductor-micro-benchmark-cpu-x86", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal", "owners": ["oncall:pt2"]}]} 2025-09-07T07:46:51.4984540Z job-name: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:46:51.4984917Z env: 2025-09-07T07:46:51.4985060Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:51.4985240Z ##[endgroup] 2025-09-07T07:46:51.5047282Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:46:51.5047483Z with: 2025-09-07T07:46:51.5047620Z shell: bash 2025-09-07T07:46:51.5047773Z timeout_minutes: 10 2025-09-07T07:46:51.5047932Z max_attempts: 5 2025-09-07T07:46:51.5048118Z retry_wait_seconds: 30 2025-09-07T07:46:51.5048567Z 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 2025-09-07T07:46:51.5049022Z polling_interval_seconds: 1 2025-09-07T07:46:51.5049207Z warning_on_retry: true 2025-09-07T07:46:51.5049374Z continue_on_error: false 2025-09-07T07:46:51.5049530Z env: 2025-09-07T07:46:51.5049672Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:51.5049967Z GITHUB_TOKEN: *** 2025-09-07T07:46:51.5050120Z ##[endgroup] 2025-09-07T07:46:51.6209495Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:46:51.7833374Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:51.8984863Z Collecting requests==2.27.1 2025-09-07T07:46:51.9108755Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:46:52.0973435Z Collecting pyyaml==6.0.2 2025-09-07T07:46:52.1001760Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-09-07T07:46:52.4322166Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:46:52.4351164Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:46:52.4860424Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:46:52.4861211Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:46:52.5669833Z Collecting certifi>=2017.4.17 2025-09-07T07:46:52.5701569Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:46:52.6751028Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:46:53.1038683Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:46:53.5597499Z Command completed after 1 attempt(s). 2025-09-07T07:46:53.5688614Z ##[group]Run set -x 2025-09-07T07:46:53.5688799Z set -x 2025-09-07T07:46:53.5688954Z  2025-09-07T07:46:53.5689203Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:53.5689498Z # in runner workspace 2025-09-07T07:46:53.5689742Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:46:53.5694700Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.5694931Z env: 2025-09-07T07:46:53.5695070Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.5695241Z ##[endgroup] 2025-09-07T07:46:53.5711365Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:46:53.5838712Z Setting output branch=main 2025-09-07T07:46:53.5897931Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:53.5898195Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:53.5898505Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:46:53.5898684Z  2025-09-07T07:46:53.5898921Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:53.5899288Z # in runner workspace 2025-09-07T07:46:53.5899550Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:46:53.5899833Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:46:53.5900046Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:46:53.5900484Z  --test-matrix "{"include": [{"config": "inductor-micro-benchmark-cpu-x86", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal", "owners": ["oncall:pt2"]}]}" \ 2025-09-07T07:46:53.5900919Z  --selected-test-configs "" \ 2025-09-07T07:46:53.5901129Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:46:53.5901315Z  --tag "${TAG}" \ 2025-09-07T07:46:53.5901500Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:46:53.5901703Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:46:53.5901901Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:46:53.5905772Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.5905995Z env: 2025-09-07T07:46:53.5906144Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.5906535Z GITHUB_TOKEN: *** 2025-09-07T07:46:53.5906900Z JOB_NAME: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:46:53.5907273Z PR_NUMBER: 2025-09-07T07:46:53.5907416Z TAG: 2025-09-07T07:46:53.5907563Z EVENT_NAME: schedule 2025-09-07T07:46:53.5907730Z SCHEDULE: 0 7 * * * 2025-09-07T07:46:53.5907887Z HEAD_BRANCH: main 2025-09-07T07:46:53.5908044Z ##[endgroup] 2025-09-07T07:46:53.5924862Z Workflow: inductor-micro-benchmark-x86 2025-09-07T07:46:53.5925269Z Job name: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:46:53.7159033Z Setting output keep-going=True 2025-09-07T07:46:53.7159301Z Setting output ci-verbose-test-logs=False 2025-09-07T07:46:53.7159548Z Setting output ci-test-showlocals=False 2025-09-07T07:46:53.7159764Z Setting output ci-no-test-timeout=False 2025-09-07T07:46:53.7159970Z Setting output ci-no-td=False 2025-09-07T07:46:53.7160166Z Setting output ci-td-distributed=False 2025-09-07T07:46:53.7160377Z Setting output is-unstable=False 2025-09-07T07:46:53.7160577Z Setting output reenabled-issues= 2025-09-07T07:46:53.7161043Z Setting output test-matrix={"include": [{"config": "inductor-micro-benchmark-cpu-x86", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal", "owners": ["oncall:pt2"]}]} 2025-09-07T07:46:53.7161503Z Setting output is-test-matrix-empty=False 2025-09-07T07:46:53.7307656Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:46:53.7307876Z echo "Filtered matrix:" 2025-09-07T07:46:53.7308302Z echo "{"include": [{"config": "inductor-micro-benchmark-cpu-x86", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal", "owners": ["oncall:pt2"]}]}" 2025-09-07T07:46:53.7308704Z  2025-09-07T07:46:53.7308845Z echo 2025-09-07T07:46:53.7309031Z echo "Is the current job unstable? False" 2025-09-07T07:46:53.7309239Z  2025-09-07T07:46:53.7309374Z echo 2025-09-07T07:46:53.7309534Z echo "Is keep-going label set? True" 2025-09-07T07:46:53.7309730Z  2025-09-07T07:46:53.7309865Z echo 2025-09-07T07:46:53.7310018Z echo "Reenabled issues? " 2025-09-07T07:46:53.7313616Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.7313849Z env: 2025-09-07T07:46:53.7313999Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.7314172Z ##[endgroup] 2025-09-07T07:46:53.7330596Z Filtered matrix: 2025-09-07T07:46:53.7331035Z {include: [{config: inductor-micro-benchmark-cpu-x86, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal, owners: [oncall:pt2]}]} 2025-09-07T07:46:53.7331399Z 2025-09-07T07:46:53.7331879Z Is the current job unstable? False 2025-09-07T07:46:53.7332071Z 2025-09-07T07:46:53.7332160Z Is keep-going label set? True 2025-09-07T07:46:53.7332364Z 2025-09-07T07:46:53.7332439Z Reenabled issues? 2025-09-07T07:46:53.7368865Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:53.7369191Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:53.7372959Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.7373188Z env: 2025-09-07T07:46:53.7373337Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.7373515Z JOB_TIMEOUT: 720 2025-09-07T07:46:53.7373663Z ##[endgroup] 2025-09-07T07:46:53.7552846Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:53.7553161Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:53.7553421Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:53.7556763Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:53.7556992Z env: 2025-09-07T07:46:53.7557140Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.7557320Z ##[endgroup] 2025-09-07T07:46:53.7696911Z ##[group]Run set -x 2025-09-07T07:46:53.7697156Z set -x 2025-09-07T07:46:53.7697318Z  2025-09-07T07:46:53.7697498Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:46:53.7697747Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:46:53.7698003Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:46:53.7698231Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:46:53.7698429Z else 2025-09-07T07:46:53.7698597Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:53.7698794Z fi 2025-09-07T07:46:53.7698940Z  2025-09-07T07:46:53.7699115Z # Leaving 1GB for the runner and other things 2025-09-07T07:46:53.7699477Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:46:53.7700009Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:46:53.7700423Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:46:53.7700732Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:46:53.7700983Z  2025-09-07T07:46:53.7701165Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:53.7701382Z  SHM_OPTS= 2025-09-07T07:46:53.7701544Z  JENKINS_USER= 2025-09-07T07:46:53.7701775Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:46:53.7702060Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:46:53.7702304Z  # when job is cancelled 2025-09-07T07:46:53.7702511Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:46:53.7702696Z else 2025-09-07T07:46:53.7702875Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:46:53.7703093Z  JENKINS_USER="--user jenkins" 2025-09-07T07:46:53.7703305Z  DOCKER_SHELL_CMD= 2025-09-07T07:46:53.7703472Z fi 2025-09-07T07:46:53.7703615Z  2025-09-07T07:46:53.7703831Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:46:53.7704150Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:46:53.7704493Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:46:53.7704806Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:46:53.7705015Z container_name=$(docker run \ 2025-09-07T07:46:53.7705218Z  ${GPU_FLAG:-} \ 2025-09-07T07:46:53.7705419Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:46:53.7705628Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:46:53.7705822Z  -e PR_NUMBER \ 2025-09-07T07:46:53.7706004Z  -e GITHUB_ACTIONS \ 2025-09-07T07:46:53.7706193Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:46:53.7706458Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:46:53.7706644Z  -e GITHUB_JOB \ 2025-09-07T07:46:53.7706823Z  -e GITHUB_RUN_ID \ 2025-09-07T07:46:53.7707007Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:46:53.7707192Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:46:53.7707388Z  -e JOB_ID \ 2025-09-07T07:46:53.7707560Z  -e JOB_NAME \ 2025-09-07T07:46:53.7707734Z  -e BASE_SHA \ 2025-09-07T07:46:53.7707890Z  -e BRANCH \ 2025-09-07T07:46:53.7708051Z  -e SHA1 \ 2025-09-07T07:46:53.7708218Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:46:53.7708407Z  -e IN_WHEEL_TEST \ 2025-09-07T07:46:53.7708580Z  -e SHARD_NUMBER \ 2025-09-07T07:46:53.7708760Z  -e TEST_CONFIG \ 2025-09-07T07:46:53.7708939Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:46:53.7709128Z  -e REENABLED_ISSUES \ 2025-09-07T07:46:53.7709316Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:46:53.7709583Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:46:53.7709773Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:46:53.7709959Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:46:53.7710128Z  -e NO_TD \ 2025-09-07T07:46:53.7710298Z  -e TD_DISTRIBUTED \ 2025-09-07T07:46:53.7710481Z  -e PR_LABELS \ 2025-09-07T07:46:53.7710678Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:46:53.7710882Z  -e SCCACHE_BUCKET \ 2025-09-07T07:46:53.7711068Z  -e SCCACHE_REGION \ 2025-09-07T07:46:53.7711244Z  -e XLA_CUDA \ 2025-09-07T07:46:53.7711439Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:46:53.7711671Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:46:53.7711897Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:46:53.7712124Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:46:53.7712341Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:46:53.7712561Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:46:53.7712771Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:46:53.7712974Z  -e DASHBOARD_TAG \ 2025-09-07T07:46:53.7713162Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:46:53.7713395Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:46:53.7713645Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:46:53.7713901Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:46:53.7714145Z  --security-opt seccomp=unconfined \ 2025-09-07T07:46:53.7714359Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:46:53.7714549Z  --ipc=host \ 2025-09-07T07:46:53.7714713Z  ${SHM_OPTS} \ 2025-09-07T07:46:53.7714883Z  --tty \ 2025-09-07T07:46:53.7715044Z  --detach \ 2025-09-07T07:46:53.7715219Z  --name="${container_name}" \ 2025-09-07T07:46:53.7715412Z  ${JENKINS_USER} \ 2025-09-07T07:46:53.7715639Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:46:53.7715886Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:46:53.7716088Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:46:53.7716260Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:46:53.7716430Z ) 2025-09-07T07:46:53.7716624Z # Propagate download.pytorch.org IP to container 2025-09-07T07:46:53.7717019Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:46:53.7717430Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:46:53.7717668Z  2025-09-07T07:46:53.7717850Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:53.7718198Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:46:53.7718500Z fi 2025-09-07T07:46:53.7718678Z  2025-09-07T07:46:53.7718976Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:46:53.7722584Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:53.7722767Z env: 2025-09-07T07:46:53.7722913Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:53.7723125Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11 2025-09-07T07:46:53.7723339Z PR_NUMBER: 2025-09-07T07:46:53.7723510Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:46:53.7723735Z GITHUB_WORKFLOW: inductor-micro-benchmark-x86 2025-09-07T07:46:53.7723957Z GITHUB_JOB: test 2025-09-07T07:46:53.7724125Z GITHUB_RUN_ID: 17525325007 2025-09-07T07:46:53.7724304Z GITHUB_RUN_NUMBER: 407 2025-09-07T07:46:53.7724471Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:46:53.7724637Z JOB_ID: 49775637404 2025-09-07T07:46:53.7725004Z JOB_NAME: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:46:53.7725389Z BRANCH: main 2025-09-07T07:46:53.7725625Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:53.7725863Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:53.7726112Z TEST_CONFIG: inductor-micro-benchmark-cpu-x86 2025-09-07T07:46:53.7726328Z SHARD_NUMBER: 1 2025-09-07T07:46:53.7726485Z NUM_TEST_SHARDS: 1 2025-09-07T07:46:53.7726640Z REENABLED_ISSUES: 2025-09-07T07:46:53.7726805Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:46:53.7726990Z VERBOSE_TEST_LOGS: False 2025-09-07T07:46:53.7727168Z TEST_SHOWLOCALS: False 2025-09-07T07:46:53.7727330Z NO_TEST_TIMEOUT: False 2025-09-07T07:46:53.7727497Z NO_TD: False 2025-09-07T07:46:53.7727652Z TD_DISTRIBUTED: False 2025-09-07T07:46:53.7727862Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:46:53.7728085Z SCCACHE_REGION: us-east-1 2025-09-07T07:46:53.7728256Z SHM_SIZE: 1g 2025-09-07T07:46:53.7728743Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:53.7729251Z XLA_CUDA: 2025-09-07T07:46:53.7729482Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:46:53.7729756Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:46:53.7729968Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:46:53.7730159Z DASHBOARD_TAG: 2025-09-07T07:46:53.7730469Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:46:53.7730739Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:46:53.7730991Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:46:53.7731352Z ARTIFACTS_FILE_SUFFIX: test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404 2025-09-07T07:46:53.7731695Z ##[endgroup] 2025-09-07T07:46:53.7746913Z + [[ inductor-micro-benchmark-cpu-x86 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:46:53.7747188Z + [[ linux-jammy-py3.9-gcc11 == *onnx* ]] 2025-09-07T07:46:53.7747401Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:53.7749629Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:46:53.7764277Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 ' 2025-09-07T07:46:53.7764676Z + TOTAL_MEMORY_WITH_SWAP=190 2025-09-07T07:46:53.7764933Z + [[ linux-jammy-py3.9-gcc11 == *\s\3\9\0\x* ]] 2025-09-07T07:46:53.7765193Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:46:53.7765406Z + JENKINS_USER='--user jenkins' 2025-09-07T07:46:53.7765595Z + DOCKER_SHELL_CMD= 2025-09-07T07:46:53.7772515Z +++ nproc --ignore=2 2025-09-07T07:46:53.8350652Z ++ docker run -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=94 -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=187g --memory-swap=190g --env-file=/tmp/github_env_17525325007 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_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-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:31.9160892Z + container_name=eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:49:31.9164462Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:49:31.9165929Z + docker exec -i eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:49:32.0417919Z + echo DOCKER_CONTAINER_ID=eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:49:32.0420085Z + [[ linux-jammy-py3.9-gcc11 == *\s\3\9\0\x* ]] 2025-09-07T07:49:32.0421283Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:32.0422937Z + docker exec -t eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:49:32.3516576Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:49:32.5484650Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T07:49:32.5485551Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T07:49:32.5486266Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T07:49:32.5486921Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T07:49:32.5488566Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T07:49:32.5491512Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T07:49:32.5501716Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T07:49:32.5764285Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T07:49:32.5777919Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T07:49:32.5803741Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T07:49:33.2671116Z Installing collected packages: torch 2025-09-07T07:49:39.7248560Z 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. 2025-09-07T07:49:39.7249134Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:49:39.7250476Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:49:39.7250805Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:49:39.7251229Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:49:39.7251685Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:49:39.7252000Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:49:39.8069682Z + export TERM=vt100 2025-09-07T07:49:39.8069885Z + TERM=vt100 2025-09-07T07:49:39.8070061Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:39.8071603Z + source .ci/pytorch/common.sh 2025-09-07T07:49:39.8073780Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:49:39.8079667Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:49:39.8080351Z +++ declare -f -t trap_add 2025-09-07T07:49:39.8083480Z ++ set -ex -o pipefail 2025-09-07T07:49:39.8083855Z ++ [[ linux-jammy-py3.9-gcc11 == *rocm* ]] 2025-09-07T07:49:39.8084326Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:49:39.8085893Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:39.8091324Z + source .ci/pytorch/common-build.sh 2025-09-07T07:49:39.8091546Z ++ [[ linux-jammy-py3.9-gcc11 != *win-* ]] 2025-09-07T07:49:39.8096792Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:49:39.8110093Z +++ cd .ci/pytorch 2025-09-07T07:49:39.8110404Z +++ pwd -P 2025-09-07T07:49:39.8111701Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:49:39.8112002Z ++ [[ linux-jammy-py3.9-gcc11 == *-pch* ]] 2025-09-07T07:49:39.8112232Z ++ which sccache 2025-09-07T07:49:39.8132488Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:49:39.8132722Z ++ sccache --stop-server 2025-09-07T07:49:39.8155642Z ++ true 2025-09-07T07:49:39.8155821Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:49:39.8164209Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:49:39.8164441Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:49:39.8164668Z ++ shift 2025-09-07T07:49:39.8164855Z ++ for trap_add_name in "$@" 2025-09-07T07:49:39.8171403Z ++++ trap -p EXIT 2025-09-07T07:49:39.8172952Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:49:39.8173418Z ++++ extract_trap_cmd 2025-09-07T07:49:39.8173655Z ++++ printf '%s\n' '' 2025-09-07T07:49:39.8173862Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:49:39.8174900Z ++ trap -- ' 2025-09-07T07:49:39.8175081Z sccache_epilogue' EXIT 2025-09-07T07:49:39.8175285Z ++ [[ -n 1 ]] 2025-09-07T07:49:39.8175571Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:49:39.8175966Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:49:39.8176268Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:39.8176484Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:39.8176748Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:39.8177043Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:39.8177341Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:49:39.8177602Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:49:39.8177819Z ++ sccache --zero-stats 2025-09-07T07:49:39.9767157Z Statistics zeroed. 2025-09-07T07:49:39.9772705Z ++ which ccache 2025-09-07T07:49:39.9806943Z + [[ linux-jammy-py3.9-gcc11 != *rocm* ]] 2025-09-07T07:49:39.9807198Z + [[ linux-jammy-py3.9-gcc11 != *s390x* ]] 2025-09-07T07:49:39.9807459Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:49:39.9809624Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:49:39.9818615Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:49:39.9818861Z + trap_add cleanup_workspace EXIT 2025-09-07T07:49:39.9819095Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:49:39.9819303Z + shift 2025-09-07T07:49:39.9819482Z + for trap_add_name in "$@" 2025-09-07T07:49:39.9824515Z +++ trap -p EXIT 2025-09-07T07:49:39.9826287Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:49:39.9826524Z sccache_epilogue'\'' EXIT' 2025-09-07T07:49:39.9826738Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:49:39.9827207Z sccache_epilogue' EXIT 2025-09-07T07:49:39.9827393Z +++ printf '%s\n' ' 2025-09-07T07:49:39.9827579Z sccache_epilogue' 2025-09-07T07:49:39.9827773Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:49:39.9828324Z + trap -- ' 2025-09-07T07:49:39.9828485Z sccache_epilogue 2025-09-07T07:49:39.9828668Z cleanup_workspace' EXIT 2025-09-07T07:49:39.9828904Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:49:40.3915423Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:49:40.3925802Z + echo 'Environment variables:' 2025-09-07T07:49:40.3926006Z Environment variables: 2025-09-07T07:49:40.3926175Z + env 2025-09-07T07:49:40.3932129Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:40.3932440Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:40.3932656Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11 2025-09-07T07:49:40.3933120Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:40.3933330Z HOSTNAME=eedce2fb01b3 2025-09-07T07:49:40.3934019Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.3934405Z GITHUB_ACTION=__run_2 2025-09-07T07:49:40.3934585Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:40.3934789Z GITHUB_RUN_NUMBER=407 2025-09-07T07:49:40.3934993Z TEST_CONFIG=inductor-micro-benchmark-cpu-x86 2025-09-07T07:49:40.3935229Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:40.3935448Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:40.3935699Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:40.3935959Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:40.3936168Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:40.3936373Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:40.3936577Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:40.3936785Z XLA_CUDA= 2025-09-07T07:49:40.3936953Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:40.3937215Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:40.3939316Z *** 2025-09-07T07:49:40.3939487Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:40.3939670Z GITHUB_ACTIONS=true 2025-09-07T07:49:40.3939877Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:40.3940126Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:40.3940360Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:40.3940732Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-micro-benchmark-x86.yml@refs/heads/main 2025-09-07T07:49:40.3941077Z UCC_HOME=/usr 2025-09-07T07:49:40.3941233Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:40.3941409Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:40.3941575Z SHARD_NUMBER=1 2025-09-07T07:49:40.3941738Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:40.3941914Z HOME=/var/lib/jenkins 2025-09-07T07:49:40.3942102Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:40.3942313Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:40.3942499Z UCX_COMMIT= 2025-09-07T07:49:40.3942643Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:40.3942808Z NUM_TEST_SHARDS=1 2025-09-07T07:49:40.3942957Z UCX_HOME=/usr 2025-09-07T07:49:40.3943302Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.3943882Z JOB_NAME=inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:49:40.3944443Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.3944906Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:40.3945195Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:40.3945370Z DASHBOARD_TAG= 2025-09-07T07:49:40.3945530Z GITHUB_RUN_ID=17525325007 2025-09-07T07:49:40.3945707Z INSTALLED_OPENBLAS= 2025-09-07T07:49:40.3946063Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.3946583Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:40.3946771Z PR_NUMBER= 2025-09-07T07:49:40.3946919Z DESIRED_CUDA= 2025-09-07T07:49:40.3947066Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:40.3947245Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:40.3947467Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:40.3947687Z TERM=vt100 2025-09-07T07:49:40.3947833Z INSTALLED_VISION=yes 2025-09-07T07:49:40.3948002Z BRANCH=main 2025-09-07T07:49:40.3948160Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:40.3948351Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:40.3948535Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:40.3948852Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:40.3949194Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:40.3949391Z UCC_COMMIT= 2025-09-07T07:49:40.3949530Z REENABLED_ISSUES= 2025-09-07T07:49:40.3949684Z DOCS=yes 2025-09-07T07:49:40.3949827Z SHLVL=1 2025-09-07T07:49:40.3949964Z MAX_JOBS=94 2025-09-07T07:49:40.3950110Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:40.3950388Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:40.3950629Z GITHUB_REF_NAME=main 2025-09-07T07:49:40.3950870Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:40.3951135Z GITHUB_JOB=test 2025-09-07T07:49:40.3951293Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:40.3951465Z TD_DISTRIBUTED=False 2025-09-07T07:49:40.3951637Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:40.3951836Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:40.3952013Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:40.3952193Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:40.3952646Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:49:40.3953100Z GITHUB_BASE_REF= 2025-09-07T07:49:40.3953255Z INSTALLED_ACL= 2025-09-07T07:49:40.3953579Z ARTIFACTS_FILE_SUFFIX=test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404 2025-09-07T07:49:40.3953929Z CI=true 2025-09-07T07:49:40.3954077Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:40.3954309Z RUST_LOG=sccache::server=error 2025-09-07T07:49:40.3954497Z JOB_ID=49775637404 2025-09-07T07:49:40.3954655Z GITHUB_HEAD_REF= 2025-09-07T07:49:40.3954805Z GITHUB_ACTION_REF= 2025-09-07T07:49:40.3955000Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:40.3955227Z TEST_SHOWLOCALS=False 2025-09-07T07:49:40.3955423Z GITHUB_WORKFLOW=inductor-micro-benchmark-x86 2025-09-07T07:49:40.3955641Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:40.3956014Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.3956382Z NO_TD=False 2025-09-07T07:49:40.3956543Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:40.3956738Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:40.3956940Z _=/usr/bin/env 2025-09-07T07:49:40.3957160Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:49:40.4189526Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-09-07T07:49:40.4192291Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-09-07T07:49:40.4192641Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-09-07T07:49:40.4192984Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-09-07T07:49:40.4193281Z + BUILD_DIR=build 2025-09-07T07:49:40.4193458Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:49:40.4193645Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:49:40.4193819Z + SHARD_NUMBER=1 2025-09-07T07:49:40.4193975Z + NUM_TEST_SHARDS=1 2025-09-07T07:49:40.4194149Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:40.4194347Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:40.4194530Z + export VALGRIND=ON 2025-09-07T07:49:40.4194695Z + VALGRIND=ON 2025-09-07T07:49:40.4194871Z + [[ linux-jammy-py3.9-gcc11 == *clang9* ]] 2025-09-07T07:49:40.4195306Z + [[ linux-jammy-py3.9-gcc11 == *xpu* ]] 2025-09-07T07:49:40.4195507Z + detect_cuda_arch 2025-09-07T07:49:40.4195685Z + [[ linux-jammy-py3.9-gcc11 == *cuda* ]] 2025-09-07T07:49:40.4195897Z + [[ linux-jammy-py3.9-gcc11 == *s390x* ]] 2025-09-07T07:49:40.4196081Z + [[ 0 == \1 ]] 2025-09-07T07:49:40.4196231Z + [[ True == \1 ]] 2025-09-07T07:49:40.4196405Z + [[ linux-jammy-py3.9-gcc11 != *bazel* ]] 2025-09-07T07:49:40.4196616Z ++ realpath build/custom_test_artifacts 2025-09-07T07:49:40.4199027Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:49:40.4199327Z + [[ -n '' ]] 2025-09-07T07:49:40.4199494Z + echo 'Environment variables' 2025-09-07T07:49:40.4199682Z Environment variables 2025-09-07T07:49:40.4199836Z + env 2025-09-07T07:49:40.4226226Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:40.4226510Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:40.4226714Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11 2025-09-07T07:49:40.4227188Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:40.4227380Z HOSTNAME=eedce2fb01b3 2025-09-07T07:49:40.4227737Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.4228116Z GITHUB_ACTION=__run_2 2025-09-07T07:49:40.4228298Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:40.4228496Z GITHUB_RUN_NUMBER=407 2025-09-07T07:49:40.4228691Z TEST_CONFIG=inductor-micro-benchmark-cpu-x86 2025-09-07T07:49:40.4228919Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:40.4229135Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:40.4229345Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:40.4229589Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:40.4229794Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:40.4229996Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:40.4230191Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:40.4230397Z XLA_CUDA= 2025-09-07T07:49:40.4230558Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:40.4231029Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:40.4231264Z *** 2025-09-07T07:49:40.4231421Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:40.4231600Z GITHUB_ACTIONS=true 2025-09-07T07:49:40.4231804Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:40.4232056Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:40.4232297Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:40.4232676Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-micro-benchmark-x86.yml@refs/heads/main 2025-09-07T07:49:40.4233025Z UCC_HOME=/usr 2025-09-07T07:49:40.4233192Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:40.4233377Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:40.4233547Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:40.4233722Z SHARD_NUMBER=1 2025-09-07T07:49:40.4233882Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:40.4234101Z HOME=/var/lib/jenkins 2025-09-07T07:49:40.4234290Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:40.4234509Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:40.4234700Z UCX_COMMIT= 2025-09-07T07:49:40.4234849Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:40.4235006Z NUM_TEST_SHARDS=1 2025-09-07T07:49:40.4235155Z UCX_HOME=/usr 2025-09-07T07:49:40.4235501Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.4236084Z JOB_NAME=inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:49:40.4236647Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.4237113Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:40.4237407Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:40.4237582Z DASHBOARD_TAG= 2025-09-07T07:49:40.4237743Z GITHUB_RUN_ID=17525325007 2025-09-07T07:49:40.4237916Z INSTALLED_OPENBLAS= 2025-09-07T07:49:40.4238344Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.4238747Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:40.4238928Z PR_NUMBER= 2025-09-07T07:49:40.4239073Z DESIRED_CUDA= 2025-09-07T07:49:40.4239219Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:40.4239382Z VALGRIND=ON 2025-09-07T07:49:40.4239544Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:40.4239769Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:40.4239987Z TERM=vt100 2025-09-07T07:49:40.4240141Z INSTALLED_VISION=yes 2025-09-07T07:49:40.4240307Z BRANCH=main 2025-09-07T07:49:40.4240468Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:40.4240650Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:40.4240841Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:40.4241159Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:40.4241506Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:40.4241704Z UCC_COMMIT= 2025-09-07T07:49:40.4241917Z REENABLED_ISSUES= 2025-09-07T07:49:40.4242079Z DOCS=yes 2025-09-07T07:49:40.4242211Z SHLVL=1 2025-09-07T07:49:40.4242355Z MAX_JOBS=94 2025-09-07T07:49:40.4242522Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:40.4242755Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:40.4242987Z GITHUB_REF_NAME=main 2025-09-07T07:49:40.4243241Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:40.4243511Z GITHUB_JOB=test 2025-09-07T07:49:40.4243676Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:40.4243841Z TD_DISTRIBUTED=False 2025-09-07T07:49:40.4244021Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:40.4244216Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:40.4244389Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:40.4244557Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:40.4245014Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:49:40.4245475Z GITHUB_BASE_REF= 2025-09-07T07:49:40.4245638Z INSTALLED_ACL= 2025-09-07T07:49:40.4245963Z ARTIFACTS_FILE_SUFFIX=test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404 2025-09-07T07:49:40.4246302Z CI=true 2025-09-07T07:49:40.4246455Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:40.4246671Z RUST_LOG=sccache::server=error 2025-09-07T07:49:40.4246855Z JOB_ID=49775637404 2025-09-07T07:49:40.4247004Z GITHUB_HEAD_REF= 2025-09-07T07:49:40.4247162Z GITHUB_ACTION_REF= 2025-09-07T07:49:40.4247359Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:40.4247581Z TEST_SHOWLOCALS=False 2025-09-07T07:49:40.4247768Z GITHUB_WORKFLOW=inductor-micro-benchmark-x86 2025-09-07T07:49:40.4247990Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:40.4248366Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_07eaeb13-3de6-48a2-97b3-42aa35f2c7c4 2025-09-07T07:49:40.4248732Z NO_TD=False 2025-09-07T07:49:40.4248886Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:40.4249097Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:40.4249297Z _=/usr/bin/env 2025-09-07T07:49:40.4249452Z + echo 'Testing pytorch' 2025-09-07T07:49:40.4249615Z Testing pytorch 2025-09-07T07:49:40.4249788Z + export LANG=C.UTF-8 2025-09-07T07:49:40.4249954Z + LANG=C.UTF-8 2025-09-07T07:49:40.4250103Z + PR_NUMBER= 2025-09-07T07:49:40.4250303Z + [[ inductor-micro-benchmark-cpu-x86 == \d\e\f\a\u\l\t ]] 2025-09-07T07:49:40.4250617Z + [[ inductor-micro-benchmark-cpu-x86 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:49:40.4250911Z + [[ inductor-micro-benchmark-cpu-x86 == \s\l\o\w ]] 2025-09-07T07:49:40.4251171Z + [[ linux-jammy-py3.9-gcc11 == *slow-gradcheck* ]] 2025-09-07T07:49:40.4251402Z + [[ linux-jammy-py3.9-gcc11 == *cuda* ]] 2025-09-07T07:49:40.4251617Z + [[ linux-jammy-py3.9-gcc11 == *rocm* ]] 2025-09-07T07:49:40.4251837Z + [[ linux-jammy-py3.9-gcc11 == *xpu* ]] 2025-09-07T07:49:40.4252088Z + [[ inductor-micro-benchmark-cpu-x86 == *crossref* ]] 2025-09-07T07:49:40.4252373Z + [[ linux-jammy-py3.9-gcc11 == *rocm* ]] 2025-09-07T07:49:40.4252585Z + [[ linux-jammy-py3.9-gcc11 == *xpu* ]] 2025-09-07T07:49:40.4252804Z + [[ linux-jammy-py3.9-gcc11 != *-bazel-* ]] 2025-09-07T07:49:40.4253020Z + pip_install ninja==1.10.2 2025-09-07T07:49:40.4253252Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:49:40.4253543Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:49:40.7260443Z Collecting ninja==1.10.2 2025-09-07T07:49:40.7544629Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T07:49:40.7679202Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T07:49:41.4523881Z Installing collected packages: ninja 2025-09-07T07:49:41.4524146Z Attempting uninstall: ninja 2025-09-07T07:49:41.4525458Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:49:41.4540098Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:49:41.4581195Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:49:41.4963365Z Successfully installed ninja-1.10.2 2025-09-07T07:49:41.5748390Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:49:41.5749914Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-09-07T07:49:41.5750453Z + [[ linux-jammy-py3.9-gcc11 == *aarch64* ]] 2025-09-07T07:49:41.5750696Z + [[ linux-jammy-py3.9-gcc11 == *asan* ]] 2025-09-07T07:49:41.5750972Z + [[ linux-jammy-py3.9-gcc11 == *-debug* ]] 2025-09-07T07:49:41.5751236Z + [[ linux-jammy-py3.9-gcc11 != *-bazel-* ]] 2025-09-07T07:49:41.5751579Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11. Expect the assertion to pass' 2025-09-07T07:49:41.5751971Z We are not in debug mode: linux-jammy-py3.9-gcc11. Expect the assertion to pass 2025-09-07T07:49:41.5752239Z + cd test 2025-09-07T07:49:41.5752468Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:49:41.8570164Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:49:41.8571562Z import pynvml # type: ignore[import] 2025-09-07T07:49:42.6060179Z + [[ inductor-micro-benchmark-cpu-x86 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:49:42.6060671Z + [[ inductor-micro-benchmark-cpu-x86 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:49:42.6061099Z + [[ inductor-micro-benchmark-cpu-x86 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:49:42.6064408Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:49:42.6064741Z + [[ inductor-micro-benchmark-cpu-x86 == *pr_time_benchmarks* ]] 2025-09-07T07:49:42.6065114Z + [[ inductor-micro-benchmark-cpu-x86 == *dynamo_eager* ]] 2025-09-07T07:49:42.6065429Z + [[ inductor-micro-benchmark-cpu-x86 == *aot_eager* ]] 2025-09-07T07:49:42.6065744Z + [[ inductor-micro-benchmark-cpu-x86 == *aot_inductor* ]] 2025-09-07T07:49:42.6066089Z + [[ inductor-micro-benchmark-cpu-x86 == *max_autotune_inductor* ]] 2025-09-07T07:49:42.6066434Z + [[ inductor-micro-benchmark-cpu-x86 == *inductor* ]] 2025-09-07T07:49:42.6066738Z + [[ inductor-micro-benchmark-cpu-x86 != *perf* ]] 2025-09-07T07:49:42.6067020Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-09-07T07:49:42.6067295Z + [[ inductor-micro-benchmark-cpu-x86 == *dynamic* ]] 2025-09-07T07:49:42.6067588Z + [[ inductor-micro-benchmark-cpu-x86 == *cpu* ]] 2025-09-07T07:49:42.6067855Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:49:42.6084954Z + [[ linux-jammy-py3.9-gcc11 == *libtorch* ]] 2025-09-07T07:49:42.6085201Z + [[ linux-jammy-py3.9-gcc11 == *-bazel-* ]] 2025-09-07T07:49:42.6088922Z + cd test 2025-09-07T07:49:42.6089132Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:49:42.8897712Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:49:42.8899123Z import pynvml # type: ignore[import] 2025-09-07T07:49:43.4673299Z PyTorch built with: 2025-09-07T07:49:43.4673538Z - GCC 11.4 2025-09-07T07:49:43.4673702Z - C++ Version: 201703 2025-09-07T07:49:43.4674049Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:43.4674491Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:43.4674769Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:43.4674995Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:49:43.4675487Z - NNPACK is enabled 2025-09-07T07:49:43.4675675Z - CPU capability usage: AVX512 2025-09-07T07:49:43.4678166Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -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=range-loop-construct -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, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-09-07T07:49:43.4680759Z 2025-09-07T07:49:43.6312264Z + cd test 2025-09-07T07:49:43.6312616Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:49:43.9052338Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:49:43.9053880Z import pynvml # type: ignore[import] 2025-09-07T07:49:44.4721920Z ATen/Parallel: 2025-09-07T07:49:44.4722316Z at::get_num_threads() : 48 2025-09-07T07:49:44.4722525Z at::get_num_interop_threads() : 48 2025-09-07T07:49:44.4722804Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:44.4722995Z omp_get_max_threads() : 48 2025-09-07T07:49:44.4723330Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:44.4723662Z mkl_get_max_threads() : 48 2025-09-07T07:49:44.4723895Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:44.4724167Z std::thread::hardware_concurrency() : 96 2025-09-07T07:49:44.4724373Z Environment variables: 2025-09-07T07:49:44.4724551Z OMP_NUM_THREADS : [not set] 2025-09-07T07:49:44.4724726Z MKL_NUM_THREADS : [not set] 2025-09-07T07:49:44.4724908Z ATen parallel backend: OpenMP 2025-09-07T07:49:44.4725022Z 2025-09-07T07:49:44.6346919Z + [[ inductor-micro-benchmark-cpu-x86 == *numpy_2* ]] 2025-09-07T07:49:44.6347271Z + [[ linux-jammy-py3.9-gcc11 == *aarch64* ]] 2025-09-07T07:49:44.6347569Z + [[ inductor-micro-benchmark-cpu-x86 == *backward* ]] 2025-09-07T07:49:44.6348265Z + [[ inductor-micro-benchmark-cpu-x86 == *xla* ]] 2025-09-07T07:49:44.6348555Z + [[ inductor-micro-benchmark-cpu-x86 == *vllm* ]] 2025-09-07T07:49:44.6348854Z + [[ inductor-micro-benchmark-cpu-x86 == *executorch* ]] 2025-09-07T07:49:44.6349179Z + [[ inductor-micro-benchmark-cpu-x86 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:49:44.6349501Z + [[ linux-jammy-py3.9-gcc11 == *libtorch* ]] 2025-09-07T07:49:44.6349787Z + [[ inductor-micro-benchmark-cpu-x86 == distributed ]] 2025-09-07T07:49:44.6350114Z + [[ inductor-micro-benchmark-cpu-x86 == *operator_benchmark* ]] 2025-09-07T07:49:44.6350474Z + [[ inductor-micro-benchmark-cpu-x86 == *inductor_distributed* ]] 2025-09-07T07:49:44.6350838Z + [[ inductor-micro-benchmark-cpu-x86 == *inductor-halide* ]] 2025-09-07T07:49:44.6351201Z + [[ inductor-micro-benchmark-cpu-x86 == *inductor-triton-cpu* ]] 2025-09-07T07:49:44.6351580Z + [[ inductor-micro-benchmark-cpu-x86 == *inductor-micro-benchmark* ]] 2025-09-07T07:49:44.6351898Z + test_inductor_micro_benchmark 2025-09-07T07:49:44.6352252Z + [[ linux-jammy-py3.9-gcc11 == *cuda* ]] 2025-09-07T07:49:44.6352488Z + install_torchao 2025-09-07T07:49:44.6352672Z + local commit 2025-09-07T07:49:44.6352853Z ++ get_pinned_commit torchao 2025-09-07T07:49:44.6353080Z ++ cat .github/ci_commit_pins/torchao.txt 2025-09-07T07:49:44.6929686Z + commit=51c87b6ead6b7e098ada95d6a7609ee873b854cf 2025-09-07T07:49:44.6934458Z + pip_build_and_install git+https://github.com/pytorch/ao.git@51c87b6ead6b7e098ada95d6a7609ee873b854cf dist/ao 2025-09-07T07:49:44.6935049Z + local build_target=git+https://github.com/pytorch/ao.git@51c87b6ead6b7e098ada95d6a7609ee873b854cf 2025-09-07T07:49:44.6935425Z + local wheel_dir=dist/ao 2025-09-07T07:49:44.6935622Z + local found_whl=0 2025-09-07T07:49:44.6935824Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:44.6936053Z + [[ -f dist/ao/*.whl ]] 2025-09-07T07:49:44.6936245Z + '[' 0 == 0 ']' 2025-09-07T07:49:44.6936729Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/ao git+https://github.com/pytorch/ao.git@51c87b6ead6b7e098ada95d6a7609ee873b854cf 2025-09-07T07:49:44.9399441Z Collecting git+https://github.com/pytorch/ao.git@51c87b6ead6b7e098ada95d6a7609ee873b854cf 2025-09-07T07:49:44.9400967Z Cloning https://github.com/pytorch/ao.git (to revision 51c87b6ead6b7e098ada95d6a7609ee873b854cf) to /tmp/pip-req-build-3d2tfkid 2025-09-07T07:49:45.0333009Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/ao.git /tmp/pip-req-build-3d2tfkid 2025-09-07T07:49:47.1024249Z Running command git rev-parse -q --verify 'sha^51c87b6ead6b7e098ada95d6a7609ee873b854cf' 2025-09-07T07:49:47.1047500Z Running command git fetch -q https://github.com/pytorch/ao.git 51c87b6ead6b7e098ada95d6a7609ee873b854cf 2025-09-07T07:49:47.2450255Z Running command git checkout -q 51c87b6ead6b7e098ada95d6a7609ee873b854cf 2025-09-07T07:49:47.6821676Z Resolved https://github.com/pytorch/ao.git to commit 51c87b6ead6b7e098ada95d6a7609ee873b854cf 2025-09-07T07:49:48.8704010Z Preparing metadata (setup.py) ... [?25l- \ done 2025-09-07T07:49:48.8744287Z [?25hBuilding wheels for collected packages: torchao 2025-09-07T07:49:48.8815662Z  DEPRECATION: Building 'torchao' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchao'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-09-07T07:49:50.3077431Z  Building wheel for torchao (setup.py) ... [?25l- \ | / done 2025-09-07T07:49:50.3086618Z [?25h Created wheel for torchao: filename=torchao-0.7.0+git51c87b6e-py3-none-any.whl size=602437 sha256=b4acf01b4a6e28bed3816e68083219e58a9b2163682c797ef7f432562cd74bce 2025-09-07T07:49:50.3087277Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/d1/fa/78/4c7e8fc90380f86d2ecfd5bedb6d130ad4cc4237aaae315060 2025-09-07T07:49:50.3121315Z Successfully built torchao 2025-09-07T07:49:50.3692179Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:50.3692515Z + pip_install_whl dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T07:49:50.3692897Z + args=('dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl') 2025-09-07T07:49:50.3693156Z + local args 2025-09-07T07:49:50.3693392Z + [[ dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl == *\ * ]] 2025-09-07T07:49:50.3693659Z + for path in "${args[@]}" 2025-09-07T07:49:50.3693912Z + echo 'Installing dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl' 2025-09-07T07:49:50.3694237Z Installing dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T07:49:50.3694616Z + python3 -mpip install --no-index --no-deps dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T07:49:50.6200684Z Processing ./dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T07:49:50.6259204Z Installing collected packages: torchao 2025-09-07T07:49:51.0119927Z Successfully installed torchao-0.7.0+git51c87b6e 2025-09-07T07:49:51.0478258Z ++ pwd 2025-09-07T07:49:51.0478516Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:51.0478811Z + [[ inductor-micro-benchmark-cpu-x86 == *cpu* ]] 2025-09-07T07:49:51.0479049Z + test_inductor_set_cpu_affinity 2025-09-07T07:49:51.0479323Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:49:51.0657677Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2 2025-09-07T07:49:51.0658008Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:51.0658302Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:51.0658700Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:51.0659205Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:51.0659587Z + [[ inductor-micro-benchmark-cpu-x86 != *aarch64* ]] 2025-09-07T07:49:51.0659903Z +++ which python 2025-09-07T07:49:51.0678077Z ++ dirname /opt/conda/envs/py_3.9/bin/python 2025-09-07T07:49:51.0693482Z + IOMP_LIB=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so 2025-09-07T07:49:51.0693968Z + export LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:51.0694432Z + LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:51.0694780Z + export KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:51.0695019Z + KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:51.0695239Z + export KMP_BLOCKTIME=1 2025-09-07T07:49:51.0695414Z + KMP_BLOCKTIME=1 2025-09-07T07:49:51.0697069Z ++ nproc 2025-09-07T07:49:51.0716721Z + cpus=96 2025-09-07T07:49:51.0722076Z ++ lscpu 2025-09-07T07:49:51.0723643Z ++ grep 'Thread(s) per core:' 2025-09-07T07:49:51.0724111Z ++ awk '{print $4}' 2025-09-07T07:49:51.0978951Z + thread_per_core=2 2025-09-07T07:49:51.0979230Z + cores=48 2025-09-07T07:49:51.0979513Z + [[ inductor-micro-benchmark-cpu-x86 == *aarch64* ]] 2025-09-07T07:49:51.0979782Z + export OMP_NUM_THREADS=48 2025-09-07T07:49:51.0979960Z + OMP_NUM_THREADS=48 2025-09-07T07:49:51.0980209Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:49:51.1194559Z + start_cpu=0 2025-09-07T07:49:51.1196256Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:49:51.1414553Z + end_cpu=93 2025-09-07T07:49:51.1414815Z + export 'TASKSET=taskset -c 0-93' 2025-09-07T07:49:51.1415068Z + TASKSET='taskset -c 0-93' 2025-09-07T07:49:51.1415449Z + python benchmarks/gpt_fast/benchmark.py --output /var/lib/jenkins/workspace/test/test-reports/gpt_fast_benchmark.csv 2025-09-07T07:49:51.4758149Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:49:51.4759837Z import pynvml # type: ignore[import] 2025-09-07T07:49:53.4536002Z Loading model Llama-2-7b-chat-hf 2025-09-07T07:50:17.7583512Z Time to load model: 24.30 seconds 2025-09-07T07:51:20.2114054Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2114342Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2114588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2114956Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2115854Z logits = model(x, input_pos) 2025-09-07T07:51:20.2116301Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2120699Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2121080Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2121780Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2122162Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2122457Z return output * self.weight 2025-09-07T07:51:20.2122592Z 2025-09-07T07:51:20.2122700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2123070Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2123415Z logits = model(x, input_pos) 2025-09-07T07:51:20.2123702Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2124023Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2124339Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2124696Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2125047Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2125392Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2125562Z 2025-09-07T07:51:20.2125666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2126007Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2126327Z logits = model(x, input_pos) 2025-09-07T07:51:20.2126603Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2127091Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2127386Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2127739Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2128082Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2128366Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2128687Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2129004Z x_out2 = torch.stack( 2025-09-07T07:51:20.2129113Z 2025-09-07T07:51:20.2129225Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2129576Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2129882Z logits = model(x, input_pos) 2025-09-07T07:51:20.2130166Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2130457Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2130750Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2131090Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2131432Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2131837Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2132146Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2132455Z x_out2 = torch.stack( 2025-09-07T07:51:20.2132559Z 2025-09-07T07:51:20.2132636Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2132838Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2133064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2133400Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2133712Z logits = model(x, input_pos) 2025-09-07T07:51:20.2133991Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2134287Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2134576Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2134965Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2135305Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2135648Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2135841Z 2025-09-07T07:51:20.2135942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2136280Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2136590Z logits = model(x, input_pos) 2025-09-07T07:51:20.2136858Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2137157Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2137447Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2137801Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2138149Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2138499Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2138690Z 2025-09-07T07:51:20.2138791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2139135Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2139447Z logits = model(x, input_pos) 2025-09-07T07:51:20.2139722Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2140023Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2140316Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2140666Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2141003Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2141290Z y = self.wo(y) 2025-09-07T07:51:20.2141393Z 2025-09-07T07:51:20.2141470Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2141706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2142050Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2142360Z logits = model(x, input_pos) 2025-09-07T07:51:20.2142640Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2142946Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2143234Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2143537Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2143840Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2144133Z return output * self.weight 2025-09-07T07:51:20.2144285Z 2025-09-07T07:51:20.2144392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2144756Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2145060Z logits = model(x, input_pos) 2025-09-07T07:51:20.2145339Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2145634Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2145930Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2146230Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2146518Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2146831Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2146970Z 2025-09-07T07:51:20.2147078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2147454Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2147759Z logits = model(x, input_pos) 2025-09-07T07:51:20.2148035Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2148330Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2148619Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2148916Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2149216Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2149516Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2149656Z 2025-09-07T07:51:20.2149761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2150097Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2150396Z logits = model(x, input_pos) 2025-09-07T07:51:20.2150672Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2150970Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2151256Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2151549Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2151838Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2152136Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2152281Z 2025-09-07T07:51:20.2152381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2152713Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2153013Z logits = model(x, input_pos) 2025-09-07T07:51:20.2153297Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2153597Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2153886Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2154192Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2154477Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2154784Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2154937Z 2025-09-07T07:51:20.2155014Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2155241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2155565Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2155876Z logits = model(x, input_pos) 2025-09-07T07:51:20.2156153Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2156446Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2156773Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2157113Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2157466Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2157759Z return output * self.weight 2025-09-07T07:51:20.2157877Z 2025-09-07T07:51:20.2157984Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2158313Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2158629Z logits = model(x, input_pos) 2025-09-07T07:51:20.2158908Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2159216Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2159505Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2159894Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2160244Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2160572Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2160733Z 2025-09-07T07:51:20.2160843Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2161185Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2161486Z logits = model(x, input_pos) 2025-09-07T07:51:20.2161759Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2162050Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2162341Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2162678Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2163023Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2163327Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2163632Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2163937Z x_out2 = torch.stack( 2025-09-07T07:51:20.2164044Z 2025-09-07T07:51:20.2164142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2164475Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2164785Z logits = model(x, input_pos) 2025-09-07T07:51:20.2165066Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2165349Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2165651Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2165996Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2166339Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2166625Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2166926Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2167230Z x_out2 = torch.stack( 2025-09-07T07:51:20.2167344Z 2025-09-07T07:51:20.2167421Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2167621Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2167837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2168187Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2168499Z logits = model(x, input_pos) 2025-09-07T07:51:20.2168780Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2169072Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2169391Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2169732Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2170073Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2170414Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2170604Z 2025-09-07T07:51:20.2170703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2171037Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2171346Z logits = model(x, input_pos) 2025-09-07T07:51:20.2171620Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2171909Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2172250Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2172600Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2172940Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2173290Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2173473Z 2025-09-07T07:51:20.2173578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2173907Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2174220Z logits = model(x, input_pos) 2025-09-07T07:51:20.2174494Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2174788Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2175071Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2175419Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2175760Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2176038Z y = self.wo(y) 2025-09-07T07:51:20.2176130Z 2025-09-07T07:51:20.2176234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2176565Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2176873Z logits = model(x, input_pos) 2025-09-07T07:51:20.2177149Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2177439Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2177724Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2178033Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2178332Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2178623Z return output * self.weight 2025-09-07T07:51:20.2178738Z 2025-09-07T07:51:20.2178842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2179265Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2179577Z logits = model(x, input_pos) 2025-09-07T07:51:20.2179859Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2180153Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2180441Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2180747Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2181049Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2181362Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2181501Z 2025-09-07T07:51:20.2181696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2182027Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2182340Z logits = model(x, input_pos) 2025-09-07T07:51:20.2182615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2182914Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2183202Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2183512Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2183811Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2184124Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2184264Z 2025-09-07T07:51:20.2184373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2184745Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2185067Z logits = model(x, input_pos) 2025-09-07T07:51:20.2185341Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2185643Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2185930Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2186232Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2186535Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2186841Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2186979Z 2025-09-07T07:51:20.2187087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2187416Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2187725Z logits = model(x, input_pos) 2025-09-07T07:51:20.2188007Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2188300Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2188579Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2188885Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2189182Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2189483Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2189622Z 2025-09-07T07:51:20.2189704Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2189922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2190258Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2190568Z logits = model(x, input_pos) 2025-09-07T07:51:20.2190840Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2191131Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2191423Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2191766Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2192118Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2192407Z return output * self.weight 2025-09-07T07:51:20.2192518Z 2025-09-07T07:51:20.2192615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2192967Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2193277Z logits = model(x, input_pos) 2025-09-07T07:51:20.2193560Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2193845Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2194176Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2194527Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2194868Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2195191Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2195353Z 2025-09-07T07:51:20.2195450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2195786Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2196094Z logits = model(x, input_pos) 2025-09-07T07:51:20.2196360Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2196648Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2196925Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2197302Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2197643Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2197930Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2198227Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2198529Z x_out2 = torch.stack( 2025-09-07T07:51:20.2198641Z 2025-09-07T07:51:20.2198736Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2199068Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2199375Z logits = model(x, input_pos) 2025-09-07T07:51:20.2199641Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2199926Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2200216Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2200567Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2200895Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2201182Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2201486Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2201792Z x_out2 = torch.stack( 2025-09-07T07:51:20.2201893Z 2025-09-07T07:51:20.2201978Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2202174Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2202395Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2202729Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2203036Z logits = model(x, input_pos) 2025-09-07T07:51:20.2203304Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2203600Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2203888Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2204226Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2204556Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2204905Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2205095Z 2025-09-07T07:51:20.2205193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2205527Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2205836Z logits = model(x, input_pos) 2025-09-07T07:51:20.2206100Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2206425Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2206716Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2207056Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2207396Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2207731Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2207914Z 2025-09-07T07:51:20.2208010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2208342Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2208648Z logits = model(x, input_pos) 2025-09-07T07:51:20.2208908Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2209200Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2210282Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2210635Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2210975Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2211246Z y = self.wo(y) 2025-09-07T07:51:20.2211347Z 2025-09-07T07:51:20.2211426Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2211656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2211988Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2212290Z logits = model(x, input_pos) 2025-09-07T07:51:20.2212564Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2212855Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2213143Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2213447Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2213733Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2214017Z return output * self.weight 2025-09-07T07:51:20.2214132Z 2025-09-07T07:51:20.2214240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2214706Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2215101Z logits = model(x, input_pos) 2025-09-07T07:51:20.2215422Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2215799Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2216165Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2246697Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2247140Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2247489Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2247651Z 2025-09-07T07:51:20.2247765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2248124Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2248459Z logits = model(x, input_pos) 2025-09-07T07:51:20.2248753Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2249053Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2249354Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2249664Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2249965Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2250267Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2250515Z 2025-09-07T07:51:20.2250624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2250978Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2251297Z logits = model(x, input_pos) 2025-09-07T07:51:20.2251582Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2251876Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2252174Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2252482Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2252787Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2253087Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2253234Z 2025-09-07T07:51:20.2253334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2253716Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2254036Z logits = model(x, input_pos) 2025-09-07T07:51:20.2254310Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2254598Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2254888Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2255187Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2255481Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2255773Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2255917Z 2025-09-07T07:51:20.2255997Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2256226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2256561Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2256882Z logits = model(x, input_pos) 2025-09-07T07:51:20.2257148Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2257441Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2257731Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2258082Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2258422Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2258713Z return output * self.weight 2025-09-07T07:51:20.2258839Z 2025-09-07T07:51:20.2258938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2259278Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2259594Z logits = model(x, input_pos) 2025-09-07T07:51:20.2259866Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2260165Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2260456Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2260800Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2261136Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2261467Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2261637Z 2025-09-07T07:51:20.2261734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2262075Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2262380Z logits = model(x, input_pos) 2025-09-07T07:51:20.2262647Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2262980Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2263272Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2263621Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2263954Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2264246Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2264557Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2264872Z x_out2 = torch.stack( 2025-09-07T07:51:20.2264981Z 2025-09-07T07:51:20.2265088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2265419Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2265730Z logits = model(x, input_pos) 2025-09-07T07:51:20.2266010Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2266336Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2266622Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2266968Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2267308Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2267597Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2267904Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2268199Z x_out2 = torch.stack( 2025-09-07T07:51:20.2268312Z 2025-09-07T07:51:20.2268387Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2268589Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2268814Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2269139Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2269462Z logits = model(x, input_pos) 2025-09-07T07:51:20.2269741Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2270034Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2270320Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2270661Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2270997Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2271345Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2271529Z 2025-09-07T07:51:20.2271638Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2271967Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2272273Z logits = model(x, input_pos) 2025-09-07T07:51:20.2272548Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2272842Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2273131Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2273466Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2273807Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2274147Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2274328Z 2025-09-07T07:51:20.2274433Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2274764Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2275072Z logits = model(x, input_pos) 2025-09-07T07:51:20.2275348Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2275690Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2275982Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2276317Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2276654Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2276934Z y = self.wo(y) 2025-09-07T07:51:20.2277027Z 2025-09-07T07:51:20.2277134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2277464Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2277774Z logits = model(x, input_pos) 2025-09-07T07:51:20.2278052Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2278344Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2278672Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2278972Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2279338Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2279623Z return output * self.weight 2025-09-07T07:51:20.2279740Z 2025-09-07T07:51:20.2279846Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2280174Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2280488Z logits = model(x, input_pos) 2025-09-07T07:51:20.2280860Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2281151Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2281444Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2281740Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2282048Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2282358Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2282496Z 2025-09-07T07:51:20.2282604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2282931Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2283242Z logits = model(x, input_pos) 2025-09-07T07:51:20.2283517Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2283811Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2284101Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2284394Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2284692Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2285002Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2285139Z 2025-09-07T07:51:20.2285246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2285570Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2285874Z logits = model(x, input_pos) 2025-09-07T07:51:20.2286147Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2286440Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2286732Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2287026Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2287328Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2287630Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2287768Z 2025-09-07T07:51:20.2287952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2288285Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2288589Z logits = model(x, input_pos) 2025-09-07T07:51:20.2288862Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2289156Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2289442Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2289738Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2290039Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2290342Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2290481Z 2025-09-07T07:51:20.2290565Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2290788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2291167Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2291480Z logits = model(x, input_pos) 2025-09-07T07:51:20.2291755Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2292052Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2292335Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2292682Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2293019Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2293310Z return output * self.weight 2025-09-07T07:51:20.2293425Z 2025-09-07T07:51:20.2293527Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2293855Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2294164Z logits = model(x, input_pos) 2025-09-07T07:51:20.2294438Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2294728Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2295008Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2295352Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2295690Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2296014Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2296172Z 2025-09-07T07:51:20.2296276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2296606Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2296913Z logits = model(x, input_pos) 2025-09-07T07:51:20.2297186Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2297479Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2297758Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2298098Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2298436Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2298722Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2299030Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2299328Z x_out2 = torch.stack( 2025-09-07T07:51:20.2299442Z 2025-09-07T07:51:20.2299539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2299872Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2300186Z logits = model(x, input_pos) 2025-09-07T07:51:20.2300493Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2300776Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2301064Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2301404Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2301743Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2302053Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2302356Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2302659Z x_out2 = torch.stack( 2025-09-07T07:51:20.2302762Z 2025-09-07T07:51:20.2302847Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2303039Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2303262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2303628Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2303941Z logits = model(x, input_pos) 2025-09-07T07:51:20.2304215Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2304501Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2304791Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2305131Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2305470Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2305805Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2305992Z 2025-09-07T07:51:20.2306088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2306423Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2306732Z logits = model(x, input_pos) 2025-09-07T07:51:20.2307003Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2307288Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2307574Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2307917Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2308258Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2308596Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2308778Z 2025-09-07T07:51:20.2308874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2309210Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2309518Z logits = model(x, input_pos) 2025-09-07T07:51:20.2309793Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2310080Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2310365Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2310700Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2311040Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2311315Z y = self.wo(y) 2025-09-07T07:51:20.2311406Z 2025-09-07T07:51:20.2311480Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2311702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2312042Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2312351Z logits = model(x, input_pos) 2025-09-07T07:51:20.2312620Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2312943Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2313229Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2313530Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2313827Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2314105Z return output * self.weight 2025-09-07T07:51:20.2314230Z 2025-09-07T07:51:20.2314329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2314664Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2314973Z logits = model(x, input_pos) 2025-09-07T07:51:20.2315238Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2315528Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2315856Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2316153Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2316440Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2316739Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2316885Z 2025-09-07T07:51:20.2316983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2317318Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2317626Z logits = model(x, input_pos) 2025-09-07T07:51:20.2317893Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2318183Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2318467Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2318762Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2319057Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2319360Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2319501Z 2025-09-07T07:51:20.2319598Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2319930Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2320236Z logits = model(x, input_pos) 2025-09-07T07:51:20.2320502Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2320791Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2321076Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2321370Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2321667Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2321965Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2322109Z 2025-09-07T07:51:20.2322208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2322538Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2322846Z logits = model(x, input_pos) 2025-09-07T07:51:20.2323108Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2323393Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2323679Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2323978Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2324271Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2324567Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2324710Z 2025-09-07T07:51:20.2324821Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2325051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2325379Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2325690Z logits = model(x, input_pos) 2025-09-07T07:51:20.2325963Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2326257Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2326545Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2326883Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2327226Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2327510Z return output * self.weight 2025-09-07T07:51:20.2327625Z 2025-09-07T07:51:20.2327730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2328085Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2328391Z logits = model(x, input_pos) 2025-09-07T07:51:20.2328660Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2328947Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2329233Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2329562Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2329903Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2330225Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2330381Z 2025-09-07T07:51:20.2330484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2330817Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2331115Z logits = model(x, input_pos) 2025-09-07T07:51:20.2331383Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2331677Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2331962Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2332290Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2332626Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2332917Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2333217Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2333509Z x_out2 = torch.stack( 2025-09-07T07:51:20.2333619Z 2025-09-07T07:51:20.2333715Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2334056Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2334358Z logits = model(x, input_pos) 2025-09-07T07:51:20.2334630Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2334913Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2335195Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2335535Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2335868Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2336143Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2336445Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2336745Z x_out2 = torch.stack( 2025-09-07T07:51:20.2336847Z 2025-09-07T07:51:20.2336925Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2337342Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2337560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2337895Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2338189Z logits = model(x, input_pos) 2025-09-07T07:51:20.2338458Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2338746Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2339030Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2339368Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2339710Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2340042Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2340233Z 2025-09-07T07:51:20.2340358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2340695Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2340999Z logits = model(x, input_pos) 2025-09-07T07:51:20.2341266Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2341549Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2341831Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2342165Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2342502Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2342840Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2343019Z 2025-09-07T07:51:20.2343112Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2343452Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2343761Z logits = model(x, input_pos) 2025-09-07T07:51:20.2344032Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2344317Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2344606Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2344944Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2345281Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2345556Z y = self.wo(y) 2025-09-07T07:51:20.2345649Z 2025-09-07T07:51:20.2345746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2346080Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2346398Z logits = model(x, input_pos) 2025-09-07T07:51:20.2346671Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2346953Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2347235Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2347533Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2347828Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2348106Z return output * self.weight 2025-09-07T07:51:20.2348220Z 2025-09-07T07:51:20.2348319Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2348653Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2348956Z logits = model(x, input_pos) 2025-09-07T07:51:20.2349226Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2349544Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2349830Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2350129Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2350424Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2350722Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2350859Z 2025-09-07T07:51:20.2350956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2351287Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2351591Z logits = model(x, input_pos) 2025-09-07T07:51:20.2351860Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2352141Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2352456Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2352758Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2353051Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2353349Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2353486Z 2025-09-07T07:51:20.2353581Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2353907Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2354212Z logits = model(x, input_pos) 2025-09-07T07:51:20.2354479Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2354766Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2355048Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2355347Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2355643Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2355935Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2356070Z 2025-09-07T07:51:20.2356167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2356496Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2356797Z logits = model(x, input_pos) 2025-09-07T07:51:20.2357070Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2357352Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2357637Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2357929Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2358222Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2358525Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2358659Z 2025-09-07T07:51:20.2358735Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2358958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2359290Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2359594Z logits = model(x, input_pos) 2025-09-07T07:51:20.2359861Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2360148Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2360434Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2360771Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2361107Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2361375Z return output * self.weight 2025-09-07T07:51:20.2361527Z 2025-09-07T07:51:20.2361624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2361956Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2362255Z logits = model(x, input_pos) 2025-09-07T07:51:20.2362514Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2362801Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2363084Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2363422Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2363757Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2364066Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2364229Z 2025-09-07T07:51:20.2364325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2364702Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2365005Z logits = model(x, input_pos) 2025-09-07T07:51:20.2365267Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2365559Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2365841Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2366178Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2366516Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2366790Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2367098Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2367400Z x_out2 = torch.stack( 2025-09-07T07:51:20.2367505Z 2025-09-07T07:51:20.2367608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2367932Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2368237Z logits = model(x, input_pos) 2025-09-07T07:51:20.2368505Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2368791Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2369077Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2369404Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2369739Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2370023Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2370324Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2370617Z x_out2 = torch.stack( 2025-09-07T07:51:20.2370733Z 2025-09-07T07:51:20.2370807Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2371005Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2371226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2371558Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2371860Z logits = model(x, input_pos) 2025-09-07T07:51:20.2372127Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2372418Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2372701Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2373030Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2373373Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2373716Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2373926Z 2025-09-07T07:51:20.2374032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2374364Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2374661Z logits = model(x, input_pos) 2025-09-07T07:51:20.2374926Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2375215Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2375500Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2375829Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2376162Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2376497Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2376679Z 2025-09-07T07:51:20.2376813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2377148Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2377445Z logits = model(x, input_pos) 2025-09-07T07:51:20.2377712Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2377993Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2378279Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2378610Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2378936Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2379262Z y = self.wo(y) 2025-09-07T07:51:20.2379354Z 2025-09-07T07:51:20.2379434Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2379660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2379991Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2380297Z logits = model(x, input_pos) 2025-09-07T07:51:20.2380569Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2380864Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2381137Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2381436Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2381731Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2382013Z return output * self.weight 2025-09-07T07:51:20.2382124Z 2025-09-07T07:51:20.2382229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2382554Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2382867Z logits = model(x, input_pos) 2025-09-07T07:51:20.2383131Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2383417Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2383696Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2383992Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2384282Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2384581Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2384716Z 2025-09-07T07:51:20.2384816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2385134Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2385439Z logits = model(x, input_pos) 2025-09-07T07:51:20.2385704Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2386051Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2386330Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2386631Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2386932Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2387236Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2387377Z 2025-09-07T07:51:20.2387484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2387811Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2388130Z logits = model(x, input_pos) 2025-09-07T07:51:20.2388408Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2388706Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2389029Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2389333Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2389629Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2389931Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2390066Z 2025-09-07T07:51:20.2390170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2390497Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2390805Z logits = model(x, input_pos) 2025-09-07T07:51:20.2391078Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2391366Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2391644Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2391944Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2392243Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2392542Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2392677Z 2025-09-07T07:51:20.2392756Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2392972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2393302Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2393608Z logits = model(x, input_pos) 2025-09-07T07:51:20.2393879Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2394161Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2394448Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2394793Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2395140Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2395424Z return output * self.weight 2025-09-07T07:51:20.2395536Z 2025-09-07T07:51:20.2395631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2395967Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2396276Z logits = model(x, input_pos) 2025-09-07T07:51:20.2396549Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2396832Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2397116Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2397455Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2397797Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2398149Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2398307Z 2025-09-07T07:51:20.2398405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2398738Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2399046Z logits = model(x, input_pos) 2025-09-07T07:51:20.2399315Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2399605Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2399886Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2400227Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2400565Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2400854Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2401195Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2401507Z x_out2 = torch.stack( 2025-09-07T07:51:20.2401620Z 2025-09-07T07:51:20.2401718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2402052Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2402356Z logits = model(x, input_pos) 2025-09-07T07:51:20.2402624Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2402919Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2403206Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2403546Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2403875Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2404160Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2404472Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2404771Z x_out2 = torch.stack( 2025-09-07T07:51:20.2404875Z 2025-09-07T07:51:20.2404956Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2405150Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2405377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2405707Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2406014Z logits = model(x, input_pos) 2025-09-07T07:51:20.2406281Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2406569Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2406854Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2407192Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2407527Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2407871Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2408060Z 2025-09-07T07:51:20.2408157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2408491Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2408795Z logits = model(x, input_pos) 2025-09-07T07:51:20.2409058Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2409352Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2409635Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2409972Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2410311Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2410722Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2410909Z 2025-09-07T07:51:20.2411006Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2411341Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2411646Z logits = model(x, input_pos) 2025-09-07T07:51:20.2411906Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2412198Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2412486Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2412820Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2413163Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2413434Z y = self.wo(y) 2025-09-07T07:51:20.2413536Z 2025-09-07T07:51:20.2413666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2413997Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2414306Z logits = model(x, input_pos) 2025-09-07T07:51:20.2414571Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2414860Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2415135Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2415425Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2415709Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2415975Z return output * self.weight 2025-09-07T07:51:20.2416092Z 2025-09-07T07:51:20.2416186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2416516Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2416812Z logits = model(x, input_pos) 2025-09-07T07:51:20.2417070Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2417352Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2417628Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2417917Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2418204Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2418490Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2418637Z 2025-09-07T07:51:20.2418731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2419065Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2419355Z logits = model(x, input_pos) 2025-09-07T07:51:20.2419617Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2419903Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2420181Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2420470Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2420759Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2421046Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2421184Z 2025-09-07T07:51:20.2421278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2421610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2421907Z logits = model(x, input_pos) 2025-09-07T07:51:20.2422166Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2422481Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2422762Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2423056Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2423347Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2423633Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2423775Z 2025-09-07T07:51:20.2424346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2424681Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2424985Z logits = model(x, input_pos) 2025-09-07T07:51:20.2425250Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2425533Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2425814Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2426143Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2426439Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2426722Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2426865Z 2025-09-07T07:51:20.2426940Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2427164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2427495Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2427794Z logits = model(x, input_pos) 2025-09-07T07:51:20.2428052Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2428341Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2428619Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2428965Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2429300Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2429581Z return output * self.weight 2025-09-07T07:51:20.2429698Z 2025-09-07T07:51:20.2429794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2430126Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2430424Z logits = model(x, input_pos) 2025-09-07T07:51:20.2430687Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2430977Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2431265Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2431597Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2431930Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2432252Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2432412Z 2025-09-07T07:51:20.2432509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2432837Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2433139Z logits = model(x, input_pos) 2025-09-07T07:51:20.2433401Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2433685Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2433967Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2434300Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2434632Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2434974Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2435285Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2435588Z x_out2 = torch.stack( 2025-09-07T07:51:20.2435693Z 2025-09-07T07:51:20.2435791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2436116Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2436424Z logits = model(x, input_pos) 2025-09-07T07:51:20.2436697Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2436983Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2437261Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2437601Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2437944Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2438254Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2438559Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2438853Z x_out2 = torch.stack( 2025-09-07T07:51:20.2438960Z 2025-09-07T07:51:20.2439036Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2439237Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2439458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2439784Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2440101Z logits = model(x, input_pos) 2025-09-07T07:51:20.2440377Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2440667Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2440945Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2441295Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2441634Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2441980Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2442163Z 2025-09-07T07:51:20.2442268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2442593Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2442900Z logits = model(x, input_pos) 2025-09-07T07:51:20.2443176Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2443467Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2443755Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2444088Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2444432Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2444776Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2444955Z 2025-09-07T07:51:20.2445060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2445387Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2445695Z logits = model(x, input_pos) 2025-09-07T07:51:20.2445973Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2446264Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2446550Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2446881Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2447222Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2447526Z y = self.wo(y) 2025-09-07T07:51:20.2447615Z 2025-09-07T07:51:20.2447694Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2447911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2448245Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2448549Z logits = model(x, input_pos) 2025-09-07T07:51:20.2448823Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2449114Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2449393Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2449693Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2449987Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2450270Z return output * self.weight 2025-09-07T07:51:20.2450386Z 2025-09-07T07:51:20.2450511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2450850Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2451155Z logits = model(x, input_pos) 2025-09-07T07:51:20.2451426Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2451719Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2451995Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2452298Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2452595Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2452895Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2453034Z 2025-09-07T07:51:20.2453130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2453472Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2453780Z logits = model(x, input_pos) 2025-09-07T07:51:20.2454053Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2454344Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2454620Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2454917Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2455210Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2455506Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2455643Z 2025-09-07T07:51:20.2455739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2456070Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2456147Z logits = model(x, input_pos) 2025-09-07T07:51:20.2456304Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2456379Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2456539Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2456619Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2456781Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2456867Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2456870Z 2025-09-07T07:51:20.2456977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2457161Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2457228Z logits = model(x, input_pos) 2025-09-07T07:51:20.2457390Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2457513Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2457677Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2457759Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2457914Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2458007Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2458010Z 2025-09-07T07:51:20.2458088Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2458192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2458374Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2458439Z logits = model(x, input_pos) 2025-09-07T07:51:20.2458602Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2458677Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2458868Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2459000Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2459155Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2459232Z return output * self.weight 2025-09-07T07:51:20.2459235Z 2025-09-07T07:51:20.2459330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2459518Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2459582Z logits = model(x, input_pos) 2025-09-07T07:51:20.2459747Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2459819Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2459974Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2460112Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2460266Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2460382Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2460385Z 2025-09-07T07:51:20.2460480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2460659Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2460734Z logits = model(x, input_pos) 2025-09-07T07:51:20.2460887Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2460968Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2461123Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2461247Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2461411Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2461483Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2461669Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2461737Z x_out2 = torch.stack( 2025-09-07T07:51:20.2461740Z 2025-09-07T07:51:20.2461834Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2462022Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2462090Z logits = model(x, input_pos) 2025-09-07T07:51:20.2462254Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2462327Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2462494Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2462652Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2462807Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2462887Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2463065Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2463140Z x_out2 = torch.stack( 2025-09-07T07:51:20.2463143Z 2025-09-07T07:51:20.2463218Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2463291Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2463397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2463578Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2463653Z logits = model(x, input_pos) 2025-09-07T07:51:20.2463811Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2463916Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2464083Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2464210Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2464375Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2464506Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2464509Z 2025-09-07T07:51:20.2464612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2464795Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2464863Z logits = model(x, input_pos) 2025-09-07T07:51:20.2465028Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2465101Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2465273Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2465399Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2465555Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2465691Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2465694Z 2025-09-07T07:51:20.2465787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2465978Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2466046Z logits = model(x, input_pos) 2025-09-07T07:51:20.2466200Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2466282Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2466441Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2466575Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2466732Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2466791Z y = self.wo(y) 2025-09-07T07:51:20.2466802Z 2025-09-07T07:51:20.2466897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2467077Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2467150Z logits = model(x, input_pos) 2025-09-07T07:51:20.2467309Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2467391Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2467548Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2467630Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2467795Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2467894Z return output * self.weight 2025-09-07T07:51:20.2467897Z 2025-09-07T07:51:20.2467999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2468180Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2468245Z logits = model(x, input_pos) 2025-09-07T07:51:20.2468409Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2468483Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2468642Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2468724Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2468877Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2468971Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2468977Z 2025-09-07T07:51:20.2469101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2469290Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2469356Z logits = model(x, input_pos) 2025-09-07T07:51:20.2469510Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2469591Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2469747Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2469838Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2469993Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2470086Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2470089Z 2025-09-07T07:51:20.2470183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2470366Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2470443Z logits = model(x, input_pos) 2025-09-07T07:51:20.2470598Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2470677Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2470830Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2470912Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2471076Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2471159Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2471162Z 2025-09-07T07:51:20.2471266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2471443Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2471509Z logits = model(x, input_pos) 2025-09-07T07:51:20.2471680Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2471754Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2471914Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2471996Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2472152Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2472246Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2472249Z 2025-09-07T07:51:20.2472323Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2472426Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2472604Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2472676Z logits = model(x, input_pos) 2025-09-07T07:51:20.2472831Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2472939Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2473104Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2473230Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2473393Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2473463Z return output * self.weight 2025-09-07T07:51:20.2473466Z 2025-09-07T07:51:20.2473562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2473754Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2473820Z logits = model(x, input_pos) 2025-09-07T07:51:20.2473986Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2474058Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2474254Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2474387Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2474542Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2474656Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2474659Z 2025-09-07T07:51:20.2474753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2474940Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2475007Z logits = model(x, input_pos) 2025-09-07T07:51:20.2475164Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2475249Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2475405Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2475544Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2475701Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2475772Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2475960Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2476029Z x_out2 = torch.stack( 2025-09-07T07:51:20.2476033Z 2025-09-07T07:51:20.2476138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2476320Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2476386Z logits = model(x, input_pos) 2025-09-07T07:51:20.2476552Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2476626Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2476791Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2476918Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2477073Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2477153Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2477333Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2477404Z x_out2 = torch.stack( 2025-09-07T07:51:20.2477407Z 2025-09-07T07:51:20.2477481Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2477563Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2477658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2477839Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2477914Z logits = model(x, input_pos) 2025-09-07T07:51:20.2478073Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2478184Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2478344Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2478469Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2478633Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2478763Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2478766Z 2025-09-07T07:51:20.2478870Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2479054Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2479187Z logits = model(x, input_pos) 2025-09-07T07:51:20.2479358Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2479490Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2479663Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2479789Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2479946Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2480081Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2480084Z 2025-09-07T07:51:20.2480182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2480375Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2480445Z logits = model(x, input_pos) 2025-09-07T07:51:20.2480609Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2480682Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2480844Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2480978Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2481132Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2481200Z y = self.wo(y) 2025-09-07T07:51:20.2481203Z 2025-09-07T07:51:20.2481278Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2481375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2481570Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2481636Z logits = model(x, input_pos) 2025-09-07T07:51:20.2481800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2481875Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2482028Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2482126Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2482284Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2482359Z return output * self.weight 2025-09-07T07:51:20.2482361Z 2025-09-07T07:51:20.2482455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2482641Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2482707Z logits = model(x, input_pos) 2025-09-07T07:51:20.2482863Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2482941Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2483097Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2483185Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2483344Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2483477Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2483480Z 2025-09-07T07:51:20.2483580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2483760Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2483834Z logits = model(x, input_pos) 2025-09-07T07:51:20.2483989Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2484061Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2484224Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2484306Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2484469Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2484555Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2484561Z 2025-09-07T07:51:20.2484683Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2484872Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2484936Z logits = model(x, input_pos) 2025-09-07T07:51:20.2485097Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2485170Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2485331Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2485413Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2485566Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2485656Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2485659Z 2025-09-07T07:51:20.2485754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2485948Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2486013Z logits = model(x, input_pos) 2025-09-07T07:51:20.2486167Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2486251Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2486405Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2486493Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2486648Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2486731Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2486734Z 2025-09-07T07:51:20.2486818Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2486913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2487102Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2487177Z logits = model(x, input_pos) 2025-09-07T07:51:20.2487334Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2487417Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2487574Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2487713Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2487869Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2487944Z return output * self.weight 2025-09-07T07:51:20.2487947Z 2025-09-07T07:51:20.2488042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2488224Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2488299Z logits = model(x, input_pos) 2025-09-07T07:51:20.2488457Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2488567Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2488721Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2488847Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2489010Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2489117Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2489120Z 2025-09-07T07:51:20.2489224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2489402Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2489467Z logits = model(x, input_pos) 2025-09-07T07:51:20.2489632Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2489735Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2489900Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2490025Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2490183Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2490253Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2490433Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2490508Z x_out2 = torch.stack( 2025-09-07T07:51:20.2490511Z 2025-09-07T07:51:20.2490605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2490794Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2490862Z logits = model(x, input_pos) 2025-09-07T07:51:20.2491016Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2491102Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2491258Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2491390Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2491543Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2491613Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2491796Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2491861Z x_out2 = torch.stack( 2025-09-07T07:51:20.2491864Z 2025-09-07T07:51:20.2491943Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2492017Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2492114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2492306Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2492377Z logits = model(x, input_pos) 2025-09-07T07:51:20.2492540Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2492613Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2492766Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2492898Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2493052Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2493189Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2493192Z 2025-09-07T07:51:20.2493286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2493472Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2493567Z logits = model(x, input_pos) 2025-09-07T07:51:20.2493726Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2493806Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2493959Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2494088Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2494244Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2494370Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2494381Z 2025-09-07T07:51:20.2494477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2494657Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2494732Z logits = model(x, input_pos) 2025-09-07T07:51:20.2494926Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2495012Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2495169Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2495291Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2495453Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2495512Z y = self.wo(y) 2025-09-07T07:51:20.2495515Z 2025-09-07T07:51:20.2495620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2495800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2495867Z logits = model(x, input_pos) 2025-09-07T07:51:20.2496033Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2496107Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2496276Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2496361Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2496519Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2496595Z return output * self.weight 2025-09-07T07:51:20.2496598Z 2025-09-07T07:51:20.2496694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2496884Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2496948Z logits = model(x, input_pos) 2025-09-07T07:51:20.2497102Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2497184Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2497338Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2497431Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2497592Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2497685Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2497688Z 2025-09-07T07:51:20.2497784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2497966Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2498041Z logits = model(x, input_pos) 2025-09-07T07:51:20.2498196Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2498280Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2498436Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2498519Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2498684Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2498801Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2498804Z 2025-09-07T07:51:20.2498909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2499091Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2499159Z logits = model(x, input_pos) 2025-09-07T07:51:20.2499324Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2499397Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2499560Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2499642Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2499797Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2499889Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2499892Z 2025-09-07T07:51:20.2500019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2500212Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2500277Z logits = model(x, input_pos) 2025-09-07T07:51:20.2500441Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2500515Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2500668Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2500753Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2500907Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2500998Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2501001Z 2025-09-07T07:51:20.2501077Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2501171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2501366Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2501434Z logits = model(x, input_pos) 2025-09-07T07:51:20.2501600Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2501673Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2501825Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2501957Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2502112Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2502186Z return output * self.weight 2025-09-07T07:51:20.2502189Z 2025-09-07T07:51:20.2502285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2502472Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2502543Z logits = model(x, input_pos) 2025-09-07T07:51:20.2502700Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2502781Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2502938Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2503072Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2503226Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2503332Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2503335Z 2025-09-07T07:51:20.2503440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2503619Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2503692Z logits = model(x, input_pos) 2025-09-07T07:51:20.2503889Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2503961Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2504124Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2504247Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2504404Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2504473Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2504649Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2504722Z x_out2 = torch.stack( 2025-09-07T07:51:20.2504724Z 2025-09-07T07:51:20.2504817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2504998Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2505068Z logits = model(x, input_pos) 2025-09-07T07:51:20.2505256Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2505333Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2505492Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2505628Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2505788Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2505868Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2506050Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2506118Z x_out2 = torch.stack( 2025-09-07T07:51:20.2506121Z 2025-09-07T07:51:20.2506205Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2506280Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2506387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2506577Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2506645Z logits = model(x, input_pos) 2025-09-07T07:51:20.2506815Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2506891Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2507059Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2507186Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2507346Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2507485Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2507488Z 2025-09-07T07:51:20.2507585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2507778Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2507850Z logits = model(x, input_pos) 2025-09-07T07:51:20.2508014Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2508090Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2508250Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2508384Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2508544Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2508682Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2508685Z 2025-09-07T07:51:20.2508782Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2508969Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2509077Z logits = model(x, input_pos) 2025-09-07T07:51:20.2509235Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2509319Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2509474Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2509598Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2509764Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2509825Z y = self.wo(y) 2025-09-07T07:51:20.2509828Z 2025-09-07T07:51:20.2509917Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2510012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2510199Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2510267Z logits = model(x, input_pos) 2025-09-07T07:51:20.2510454Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2510537Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2510694Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2510786Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2510941Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2511008Z return output * self.weight 2025-09-07T07:51:20.2511011Z 2025-09-07T07:51:20.2511115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2511295Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2511373Z logits = model(x, input_pos) 2025-09-07T07:51:20.2511529Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2511602Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2511773Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2511856Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2512020Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2512103Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2512106Z 2025-09-07T07:51:20.2512200Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2512388Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2512452Z logits = model(x, input_pos) 2025-09-07T07:51:20.2512614Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2512688Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2512851Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2512939Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2513094Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2513188Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2513191Z 2025-09-07T07:51:20.2513286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2513477Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2513543Z logits = model(x, input_pos) 2025-09-07T07:51:20.2513697Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2513775Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2513930Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2514020Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2514173Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2514302Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2514305Z 2025-09-07T07:51:20.2514410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2514595Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2514665Z logits = model(x, input_pos) 2025-09-07T07:51:20.2514820Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2514894Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2515060Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2515139Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2515301Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2515385Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2515390Z 2025-09-07T07:51:20.2515509Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2515604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2515784Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2515859Z logits = model(x, input_pos) 2025-09-07T07:51:20.2516012Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2516092Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2516245Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2516369Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2516531Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2516599Z return output * self.weight 2025-09-07T07:51:20.2516602Z 2025-09-07T07:51:20.2516700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2516885Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2516951Z logits = model(x, input_pos) 2025-09-07T07:51:20.2517114Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2517185Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2517346Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2517472Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2517627Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2517740Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2517743Z 2025-09-07T07:51:20.2517837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2518030Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2518100Z logits = model(x, input_pos) 2025-09-07T07:51:20.2518260Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2518335Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2518488Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2518620Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2518772Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2518846Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2519023Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2519087Z x_out2 = torch.stack( 2025-09-07T07:51:20.2519090Z 2025-09-07T07:51:20.2519196Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2519415Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2519489Z logits = model(x, input_pos) 2025-09-07T07:51:20.2519645Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2519717Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2519881Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2520005Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2520171Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2520239Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2520421Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2520485Z x_out2 = torch.stack( 2025-09-07T07:51:20.2520489Z 2025-09-07T07:51:20.2520567Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2520679Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2520776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2520966Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2521033Z logits = model(x, input_pos) 2025-09-07T07:51:20.2521191Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2521275Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2521432Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2521564Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2521718Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2521848Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2521854Z 2025-09-07T07:51:20.2521963Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2522145Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2522220Z logits = model(x, input_pos) 2025-09-07T07:51:20.2522374Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2522447Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2522610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2522733Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2522895Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2523023Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2523026Z 2025-09-07T07:51:20.2523131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2523319Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2523385Z logits = model(x, input_pos) 2025-09-07T07:51:20.2523552Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2523627Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2523788Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2523913Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2524066Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2524133Z y = self.wo(y) 2025-09-07T07:51:20.2524136Z 2025-09-07T07:51:20.2524234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2524421Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2524518Z logits = model(x, input_pos) 2025-09-07T07:51:20.2524675Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2524756Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2524912Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2525003Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2525158Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2525225Z return output * self.weight 2025-09-07T07:51:20.2525237Z 2025-09-07T07:51:20.2525332Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2525512Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2525587Z logits = model(x, input_pos) 2025-09-07T07:51:20.2525742Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2525856Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2526014Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2526099Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2526261Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2526347Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2526350Z 2025-09-07T07:51:20.2526453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2526630Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2526696Z logits = model(x, input_pos) 2025-09-07T07:51:20.2526858Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2526929Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2527095Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2527175Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2527328Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2527423Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2527425Z 2025-09-07T07:51:20.2527520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2527707Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2527772Z logits = model(x, input_pos) 2025-09-07T07:51:20.2527933Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2528006Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2528161Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2528247Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2528405Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2528493Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2528496Z 2025-09-07T07:51:20.2528591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2528771Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2528846Z logits = model(x, input_pos) 2025-09-07T07:51:20.2529000Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2529079Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2529233Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2529313Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2529474Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2529620Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2529623Z 2025-09-07T07:51:20.2529707Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2529799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2529979Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2530053Z logits = model(x, input_pos) 2025-09-07T07:51:20.2530207Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2530291Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2530444Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2530579Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2530733Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2530801Z return output * self.weight 2025-09-07T07:51:20.2530834Z 2025-09-07T07:51:20.2530941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2531121Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2531201Z logits = model(x, input_pos) 2025-09-07T07:51:20.2531357Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2531433Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2531600Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2531731Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2531897Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2532008Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2532011Z 2025-09-07T07:51:20.2532111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2532312Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2532384Z logits = model(x, input_pos) 2025-09-07T07:51:20.2532552Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2532632Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2532800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2532930Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2533090Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2533175Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2533357Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2533433Z x_out2 = torch.stack( 2025-09-07T07:51:20.2533439Z 2025-09-07T07:51:20.2533542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2533727Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2533804Z logits = model(x, input_pos) 2025-09-07T07:51:20.2533964Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2534050Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2534206Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2534336Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2534501Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2534578Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2534767Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2534870Z x_out2 = torch.stack( 2025-09-07T07:51:20.2534876Z 2025-09-07T07:51:20.2534951Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2535034Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2535130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2535314Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2535381Z logits = model(x, input_pos) 2025-09-07T07:51:20.2535536Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2535620Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2535775Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2535908Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2536064Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2536234Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2536238Z 2025-09-07T07:51:20.2536335Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2536516Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2536592Z logits = model(x, input_pos) 2025-09-07T07:51:20.2536748Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2536829Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2536988Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2537110Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2537271Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2537398Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2537403Z 2025-09-07T07:51:20.2537508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2537687Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2537759Z logits = model(x, input_pos) 2025-09-07T07:51:20.2537912Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2537984Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2538146Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2538269Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2538429Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2538488Z y = self.wo(y) 2025-09-07T07:51:20.2538491Z 2025-09-07T07:51:20.2538566Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2538674Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2538853Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2538926Z logits = model(x, input_pos) 2025-09-07T07:51:20.2539079Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2539154Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2539317Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2539398Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2539561Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2539628Z return output * self.weight 2025-09-07T07:51:20.2539631Z 2025-09-07T07:51:20.2539724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2539910Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2540009Z logits = model(x, input_pos) 2025-09-07T07:51:20.2540177Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2540250Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2540411Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2540501Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2540659Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2540751Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2540754Z 2025-09-07T07:51:20.2540849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2541043Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2541107Z logits = model(x, input_pos) 2025-09-07T07:51:20.2541295Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2541379Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2541533Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2541622Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2541777Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2541863Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2541866Z 2025-09-07T07:51:20.2541966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2542147Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2542221Z logits = model(x, input_pos) 2025-09-07T07:51:20.2542375Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2542447Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2542618Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2542700Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2542864Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2542947Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2542950Z 2025-09-07T07:51:20.2543055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2543238Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2543305Z logits = model(x, input_pos) 2025-09-07T07:51:20.2543468Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2543542Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2543703Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2543790Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2543948Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2544041Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2544044Z 2025-09-07T07:51:20.2544120Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2544223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2544404Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2544472Z logits = model(x, input_pos) 2025-09-07T07:51:20.2544635Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2544708Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2544869Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2544997Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2545187Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2545262Z return output * self.weight 2025-09-07T07:51:20.2545265Z 2025-09-07T07:51:20.2545358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2545548Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2545615Z logits = model(x, input_pos) 2025-09-07T07:51:20.2545780Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2545855Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2546012Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2546151Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2546305Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2546456Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2546459Z 2025-09-07T07:51:20.2546557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2546738Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2546813Z logits = model(x, input_pos) 2025-09-07T07:51:20.2546968Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2547047Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2547199Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2547324Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2547486Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2547557Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2547744Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2547809Z x_out2 = torch.stack( 2025-09-07T07:51:20.2547811Z 2025-09-07T07:51:20.2547915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2548097Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2548160Z logits = model(x, input_pos) 2025-09-07T07:51:20.2548322Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2548394Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2548557Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2548683Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2548836Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2548912Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2549095Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2549167Z x_out2 = torch.stack( 2025-09-07T07:51:20.2549170Z 2025-09-07T07:51:20.2549243Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2549314Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2549415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2549595Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2549665Z logits = model(x, input_pos) 2025-09-07T07:51:20.2549820Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2549891Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2550052Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2550177Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2550372Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2550501Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2550504Z 2025-09-07T07:51:20.2550605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2550786Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2550850Z logits = model(x, input_pos) 2025-09-07T07:51:20.2551010Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2551082Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2551241Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2551367Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2551560Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2551700Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2551703Z 2025-09-07T07:51:20.2551795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2551984Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2552050Z logits = model(x, input_pos) 2025-09-07T07:51:20.2552206Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2552290Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2552446Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2552576Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2552732Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2552794Z y = self.wo(y) 2025-09-07T07:51:20.2552808Z 2025-09-07T07:51:20.2552904Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2553085Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2553159Z logits = model(x, input_pos) 2025-09-07T07:51:20.2553316Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2553400Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2553558Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2553645Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2553809Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2553877Z return output * self.weight 2025-09-07T07:51:20.2553880Z 2025-09-07T07:51:20.2553983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2554169Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2554236Z logits = model(x, input_pos) 2025-09-07T07:51:20.2554403Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2554476Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2554639Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2554723Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2554877Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2554969Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2554973Z 2025-09-07T07:51:20.2555068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2555258Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2555359Z logits = model(x, input_pos) 2025-09-07T07:51:20.2555529Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2555602Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2555760Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2555850Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2556007Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2556100Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2556103Z 2025-09-07T07:51:20.2556198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2556380Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2556454Z logits = model(x, input_pos) 2025-09-07T07:51:20.2556609Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2556721Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2556877Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2556958Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2557124Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2557210Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2557213Z 2025-09-07T07:51:20.2557313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2557492Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2557557Z logits = model(x, input_pos) 2025-09-07T07:51:20.2557717Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2557792Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2557960Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2558044Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2558210Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2558295Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2558298Z 2025-09-07T07:51:20.2558374Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2558476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2558658Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2558733Z logits = model(x, input_pos) 2025-09-07T07:51:20.2558888Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2558963Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2559128Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2559260Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2559421Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2559489Z return output * self.weight 2025-09-07T07:51:20.2559492Z 2025-09-07T07:51:20.2559586Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2559773Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2559839Z logits = model(x, input_pos) 2025-09-07T07:51:20.2560001Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2560072Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2560228Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2560358Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2560545Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2560656Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2560659Z 2025-09-07T07:51:20.2560754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2560944Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2561011Z logits = model(x, input_pos) 2025-09-07T07:51:20.2561167Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2561250Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2561404Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2561533Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2561686Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2561788Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2561975Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2562040Z x_out2 = torch.stack( 2025-09-07T07:51:20.2562043Z 2025-09-07T07:51:20.2562143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2562323Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2562387Z logits = model(x, input_pos) 2025-09-07T07:51:20.2562547Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2562618Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2562779Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2562903Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2563066Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2563137Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2563314Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2563384Z x_out2 = torch.stack( 2025-09-07T07:51:20.2563387Z 2025-09-07T07:51:20.2563460Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2563540Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2563636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2563816Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2563891Z logits = model(x, input_pos) 2025-09-07T07:51:20.2564045Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2564128Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2564285Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2564416Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2564581Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2564711Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2564714Z 2025-09-07T07:51:20.2564818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2564996Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2565061Z logits = model(x, input_pos) 2025-09-07T07:51:20.2565224Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2565298Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2565458Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2565586Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2565781Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2565908Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2565911Z 2025-09-07T07:51:20.2566007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2566198Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2566264Z logits = model(x, input_pos) 2025-09-07T07:51:20.2566427Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2566500Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2566655Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2566787Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2566974Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2567044Z y = self.wo(y) 2025-09-07T07:51:20.2567047Z 2025-09-07T07:51:20.2567121Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2567219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2567408Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2567473Z logits = model(x, input_pos) 2025-09-07T07:51:20.2567639Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2567712Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2567868Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2567959Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2568114Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2568193Z return output * self.weight 2025-09-07T07:51:20.2568199Z 2025-09-07T07:51:20.2568293Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2568481Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2568547Z logits = model(x, input_pos) 2025-09-07T07:51:20.2568701Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2568781Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2568938Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2569032Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2569187Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2569273Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2569276Z 2025-09-07T07:51:20.2569379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2569565Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2569642Z logits = model(x, input_pos) 2025-09-07T07:51:20.2569796Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2569871Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2570034Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2570114Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2570276Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2570363Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2570366Z 2025-09-07T07:51:20.2570466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2570648Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2570745Z logits = model(x, input_pos) 2025-09-07T07:51:20.2570910Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2570983Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2571147Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2571227Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2571382Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2571471Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2571474Z 2025-09-07T07:51:20.2571568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2571757Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2571824Z logits = model(x, input_pos) 2025-09-07T07:51:20.2571978Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2572100Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2572259Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2572349Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2572502Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2572586Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2572596Z 2025-09-07T07:51:20.2572671Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2572765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2572948Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2573013Z logits = model(x, input_pos) 2025-09-07T07:51:20.2573175Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2573252Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2573410Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2573542Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2573699Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2573776Z return output * self.weight 2025-09-07T07:51:20.2573779Z 2025-09-07T07:51:20.2573871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2574051Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2574125Z logits = model(x, input_pos) 2025-09-07T07:51:20.2574284Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2574364Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2574518Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2574647Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2574809Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2574915Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2574918Z 2025-09-07T07:51:20.2575019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2575198Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2575273Z logits = model(x, input_pos) 2025-09-07T07:51:20.2575427Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2575499Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2575662Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2575788Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2575980Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2576051Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2576229Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2576301Z x_out2 = torch.stack( 2025-09-07T07:51:20.2576304Z 2025-09-07T07:51:20.2576402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2576588Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2576654Z logits = model(x, input_pos) 2025-09-07T07:51:20.2576812Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2576896Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2577049Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2577212Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2577370Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2577443Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2577629Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2577694Z x_out2 = torch.stack( 2025-09-07T07:51:20.2577697Z 2025-09-07T07:51:20.2577779Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2577853Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2577951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2578146Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2578215Z logits = model(x, input_pos) 2025-09-07T07:51:20.2578383Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2578465Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2578634Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2578762Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2578920Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2579062Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2579065Z 2025-09-07T07:51:20.2579197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2579384Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2579453Z logits = model(x, input_pos) 2025-09-07T07:51:20.2579607Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2579691Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2579852Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2579984Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2580139Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2580268Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2580280Z 2025-09-07T07:51:20.2580377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2580557Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2580634Z logits = model(x, input_pos) 2025-09-07T07:51:20.2580789Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2580876Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2581031Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2581206Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2581370Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2581432Z y = self.wo(y) 2025-09-07T07:51:20.2581435Z 2025-09-07T07:51:20.2581535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2581717Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2581782Z logits = model(x, input_pos) 2025-09-07T07:51:20.2581945Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2582018Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2582180Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2582264Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2582460Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2582540Z return output * self.weight 2025-09-07T07:51:20.2582543Z 2025-09-07T07:51:20.2582640Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2582832Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2582897Z logits = model(x, input_pos) 2025-09-07T07:51:20.2583053Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2583135Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2583290Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2583381Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2583533Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2583625Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2583630Z 2025-09-07T07:51:20.2583726Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2583909Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2583980Z logits = model(x, input_pos) 2025-09-07T07:51:20.2584134Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2584214Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2584367Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2584447Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2584610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2584694Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2584697Z 2025-09-07T07:51:20.2584800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2584986Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2585051Z logits = model(x, input_pos) 2025-09-07T07:51:20.2585215Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2585286Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2585447Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2585527Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2585682Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2585774Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2585777Z 2025-09-07T07:51:20.2585871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2586059Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2586126Z logits = model(x, input_pos) 2025-09-07T07:51:20.2586321Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2586396Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2586549Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2586637Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2586792Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2586883Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2586886Z 2025-09-07T07:51:20.2586960Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2587054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2587246Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2587314Z logits = model(x, input_pos) 2025-09-07T07:51:20.2587503Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2587581Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2587735Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2587869Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2588021Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2588099Z return output * self.weight 2025-09-07T07:51:20.2588102Z 2025-09-07T07:51:20.2588195Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2588383Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2588449Z logits = model(x, input_pos) 2025-09-07T07:51:20.2588604Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2588689Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2588852Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2588983Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2589139Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2589246Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2589249Z 2025-09-07T07:51:20.2589352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2589532Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2589604Z logits = model(x, input_pos) 2025-09-07T07:51:20.2589761Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2589837Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2589999Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2590128Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2590287Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2590357Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2590531Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2590602Z x_out2 = torch.stack( 2025-09-07T07:51:20.2590604Z 2025-09-07T07:51:20.2590698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2590885Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2590957Z logits = model(x, input_pos) 2025-09-07T07:51:20.2591118Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2591191Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2591387Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2591519Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2591674Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2591749Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2591926Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2591990Z x_out2 = torch.stack( 2025-09-07T07:51:20.2591993Z 2025-09-07T07:51:20.2592077Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2592151Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2592253Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2592431Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2592495Z logits = model(x, input_pos) 2025-09-07T07:51:20.2592690Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2592764Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2592928Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2593055Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2593211Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2593352Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2593355Z 2025-09-07T07:51:20.2593452Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2593641Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2593712Z logits = model(x, input_pos) 2025-09-07T07:51:20.2593879Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2593962Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2594118Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2594256Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2594416Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2594553Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2594556Z 2025-09-07T07:51:20.2594654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2594841Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2594919Z logits = model(x, input_pos) 2025-09-07T07:51:20.2595077Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2595162Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2595324Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2595450Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2595615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2595677Z y = self.wo(y) 2025-09-07T07:51:20.2595680Z 2025-09-07T07:51:20.2595766Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2595864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2596055Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2596124Z logits = model(x, input_pos) 2025-09-07T07:51:20.2596282Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2596366Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2596526Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2596648Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2596803Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2596869Z return output * self.weight 2025-09-07T07:51:20.2596872Z 2025-09-07T07:51:20.2596975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2597155Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2597228Z logits = model(x, input_pos) 2025-09-07T07:51:20.2597381Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2597454Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2597622Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2597704Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2597926Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2598016Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2598019Z 2025-09-07T07:51:20.2598115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2598307Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2598374Z logits = model(x, input_pos) 2025-09-07T07:51:20.2598540Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2598612Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2598778Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2598863Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2599020Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2599117Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2599124Z 2025-09-07T07:51:20.2599221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2599413Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2599478Z logits = model(x, input_pos) 2025-09-07T07:51:20.2599638Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2599721Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2599877Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2599969Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2600128Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2600214Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2600216Z 2025-09-07T07:51:20.2600322Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2600510Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2600588Z logits = model(x, input_pos) 2025-09-07T07:51:20.2600747Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2600822Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2600988Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2601069Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2601231Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2601315Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2601317Z 2025-09-07T07:51:20.2601399Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2601494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2601679Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2601789Z logits = model(x, input_pos) 2025-09-07T07:51:20.2601948Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2602029Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2602187Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2602315Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2602479Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2602546Z return output * self.weight 2025-09-07T07:51:20.2602549Z 2025-09-07T07:51:20.2602651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2602832Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2602898Z logits = model(x, input_pos) 2025-09-07T07:51:20.2603093Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2603168Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2603336Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2603460Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2603623Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2603729Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2603732Z 2025-09-07T07:51:20.2603826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2604014Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2604078Z logits = model(x, input_pos) 2025-09-07T07:51:20.2604245Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2604323Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2604478Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2604611Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2604765Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2604841Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2605019Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2605082Z x_out2 = torch.stack( 2025-09-07T07:51:20.2605085Z 2025-09-07T07:51:20.2605186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2605367Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2605443Z logits = model(x, input_pos) 2025-09-07T07:51:20.2605598Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2605672Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2605834Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2605958Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2606121Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2606191Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2606372Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2606437Z x_out2 = torch.stack( 2025-09-07T07:51:20.2606440Z 2025-09-07T07:51:20.2606512Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2606594Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2606688Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2606878Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2606975Z logits = model(x, input_pos) 2025-09-07T07:51:20.2607131Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2607211Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2607368Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2607498Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2607653Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2607783Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2607786Z 2025-09-07T07:51:20.2607887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2608069Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2608201Z logits = model(x, input_pos) 2025-09-07T07:51:20.2608358Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2608431Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2608593Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2608716Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2608874Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2609001Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2609004Z 2025-09-07T07:51:20.2609106Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2609286Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2609351Z logits = model(x, input_pos) 2025-09-07T07:51:20.2609521Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2609595Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2609755Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2609880Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2610035Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2610103Z y = self.wo(y) 2025-09-07T07:51:20.2610106Z 2025-09-07T07:51:20.2610201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2610389Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2610457Z logits = model(x, input_pos) 2025-09-07T07:51:20.2610610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2610691Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2610850Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2610941Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2611095Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2611175Z return output * self.weight 2025-09-07T07:51:20.2611178Z 2025-09-07T07:51:20.2611273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2611452Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2611529Z logits = model(x, input_pos) 2025-09-07T07:51:20.2611683Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2611765Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2611919Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2612041Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2612207Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2612291Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2612294Z 2025-09-07T07:51:20.2612397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2612575Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2612640Z logits = model(x, input_pos) 2025-09-07T07:51:20.2612805Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2612878Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2613036Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2613120Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2613272Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2613398Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2613401Z 2025-09-07T07:51:20.2613499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2613689Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2613755Z logits = model(x, input_pos) 2025-09-07T07:51:20.2613918Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2613994Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2614148Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2614238Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2614392Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2614485Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2614490Z 2025-09-07T07:51:20.2614588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2614772Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2614846Z logits = model(x, input_pos) 2025-09-07T07:51:20.2615003Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2615084Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2615241Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2615323Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2615487Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2615572Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2615574Z 2025-09-07T07:51:20.2615657Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2615754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2615949Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2616016Z logits = model(x, input_pos) 2025-09-07T07:51:20.2616174Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2616255Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2616413Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2616547Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2616703Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2616770Z return output * self.weight 2025-09-07T07:51:20.2616773Z 2025-09-07T07:51:20.2616877Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2617056Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2617161Z logits = model(x, input_pos) 2025-09-07T07:51:20.2617319Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2617393Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2617557Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2617682Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2617842Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2617948Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2617954Z 2025-09-07T07:51:20.2618048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2618235Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2618301Z logits = model(x, input_pos) 2025-09-07T07:51:20.2618493Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2618568Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2618730Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2618855Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2619007Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2619082Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2619262Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2619330Z x_out2 = torch.stack( 2025-09-07T07:51:20.2619333Z 2025-09-07T07:51:20.2619427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2619610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2619690Z logits = model(x, input_pos) 2025-09-07T07:51:20.2619850Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2619932Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2620088Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2620213Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2620379Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2620449Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2620635Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2620699Z x_out2 = torch.stack( 2025-09-07T07:51:20.2620702Z 2025-09-07T07:51:20.2620783Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2620857Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2620958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2621150Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2621216Z logits = model(x, input_pos) 2025-09-07T07:51:20.2621381Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2621452Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2621608Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2621745Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2621902Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2622041Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2622043Z 2025-09-07T07:51:20.2622137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2622352Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2622433Z logits = model(x, input_pos) 2025-09-07T07:51:20.2622590Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2622671Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2622826Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2622949Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2623113Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2623238Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2623241Z 2025-09-07T07:51:20.2623341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2623521Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2623625Z logits = model(x, input_pos) 2025-09-07T07:51:20.2623782Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2623856Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2624017Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2624142Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2624304Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2624362Z y = self.wo(y) 2025-09-07T07:51:20.2624365Z 2025-09-07T07:51:20.2624437Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2624541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2624722Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2624792Z logits = model(x, input_pos) 2025-09-07T07:51:20.2624953Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2625027Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2625186Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2625270Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2625434Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2625502Z return output * self.weight 2025-09-07T07:51:20.2625505Z 2025-09-07T07:51:20.2625601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2625791Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2625855Z logits = model(x, input_pos) 2025-09-07T07:51:20.2626018Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2626091Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2626262Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2626344Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2626498Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2626592Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2626595Z 2025-09-07T07:51:20.2626689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2626877Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2626942Z logits = model(x, input_pos) 2025-09-07T07:51:20.2627098Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2627180Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2627333Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2627453Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2627611Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2627697Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2627700Z 2025-09-07T07:51:20.2627806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2627990Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2628062Z logits = model(x, input_pos) 2025-09-07T07:51:20.2628218Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2628290Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2628454Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2628535Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2628729Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2628815Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2628818Z 2025-09-07T07:51:20.2628922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2629103Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2629167Z logits = model(x, input_pos) 2025-09-07T07:51:20.2629327Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2629399Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2629560Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2629637Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2629790Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2629882Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2629887Z 2025-09-07T07:51:20.2629963Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2630064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2630244Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2630308Z logits = model(x, input_pos) 2025-09-07T07:51:20.2630469Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2630543Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2630702Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2630829Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2630982Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2631059Z return output * self.weight 2025-09-07T07:51:20.2631062Z 2025-09-07T07:51:20.2631162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2631346Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2631410Z logits = model(x, input_pos) 2025-09-07T07:51:20.2631572Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2631647Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2631800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2631936Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2632090Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2632206Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2632210Z 2025-09-07T07:51:20.2632304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2632517Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2632594Z logits = model(x, input_pos) 2025-09-07T07:51:20.2632748Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2632827Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2632983Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2633106Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2633269Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2633339Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2633523Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2633589Z x_out2 = torch.stack( 2025-09-07T07:51:20.2633592Z 2025-09-07T07:51:20.2633696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2633904Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2633972Z logits = model(x, input_pos) 2025-09-07T07:51:20.2634140Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2634213Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2634376Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2634500Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2634656Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2634735Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2634915Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2634988Z x_out2 = torch.stack( 2025-09-07T07:51:20.2634994Z 2025-09-07T07:51:20.2635069Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2635141Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2635245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2635426Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2635501Z logits = model(x, input_pos) 2025-09-07T07:51:20.2635656Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2635729Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2635894Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2636018Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2636183Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2636314Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2636321Z 2025-09-07T07:51:20.2636426Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2636609Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2636673Z logits = model(x, input_pos) 2025-09-07T07:51:20.2636833Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2636904Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2637064Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2637189Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2637342Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2637478Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2637481Z 2025-09-07T07:51:20.2637612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2637796Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2637863Z logits = model(x, input_pos) 2025-09-07T07:51:20.2638016Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2638096Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2638248Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2638378Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2638531Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2638596Z y = self.wo(y) 2025-09-07T07:51:20.2638599Z 2025-09-07T07:51:20.2638694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2638871Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2638975Z logits = model(x, input_pos) 2025-09-07T07:51:20.2639131Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2639207Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2639359Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2639444Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2639602Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2639670Z return output * self.weight 2025-09-07T07:51:20.2639673Z 2025-09-07T07:51:20.2639772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2639952Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2640017Z logits = model(x, input_pos) 2025-09-07T07:51:20.2640182Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2640259Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2640421Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2640505Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2640659Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2640752Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2640755Z 2025-09-07T07:51:20.2640849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2641036Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2641101Z logits = model(x, input_pos) 2025-09-07T07:51:20.2641265Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2641339Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2641498Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2641590Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2641746Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2641837Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2641840Z 2025-09-07T07:51:20.2641934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2642116Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2642190Z logits = model(x, input_pos) 2025-09-07T07:51:20.2642344Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2642427Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2642583Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2642701Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2642864Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2642949Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2642952Z 2025-09-07T07:51:20.2643055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2643237Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2643312Z logits = model(x, input_pos) 2025-09-07T07:51:20.2643470Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2643541Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2643705Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2643787Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2643951Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2644066Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2644069Z 2025-09-07T07:51:20.2644145Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2644250Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2644432Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2644510Z logits = model(x, input_pos) 2025-09-07T07:51:20.2644663Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2644736Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2644897Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2645023Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2645185Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2645258Z return output * self.weight 2025-09-07T07:51:20.2645263Z 2025-09-07T07:51:20.2645357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2645543Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2645609Z logits = model(x, input_pos) 2025-09-07T07:51:20.2645767Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2645840Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2645994Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2646126Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2646280Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2646397Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2646399Z 2025-09-07T07:51:20.2646500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2646690Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2646756Z logits = model(x, input_pos) 2025-09-07T07:51:20.2646911Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2646994Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2647148Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2647279Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2647433Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2647504Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2647690Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2647755Z x_out2 = torch.stack( 2025-09-07T07:51:20.2647785Z 2025-09-07T07:51:20.2647892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2648071Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2648138Z logits = model(x, input_pos) 2025-09-07T07:51:20.2648303Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2648375Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2648535Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2648661Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2648821Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2648892Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2649069Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2649182Z x_out2 = torch.stack( 2025-09-07T07:51:20.2649185Z 2025-09-07T07:51:20.2649261Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2649340Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2649436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2649615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2649691Z logits = model(x, input_pos) 2025-09-07T07:51:20.2649845Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2649926Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2650082Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2650206Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2650368Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2650505Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2650509Z 2025-09-07T07:51:20.2650612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2650792Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2650856Z logits = model(x, input_pos) 2025-09-07T07:51:20.2651020Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2651090Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2651251Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2651373Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2651536Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2651661Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2651669Z 2025-09-07T07:51:20.2651762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2651951Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2652017Z logits = model(x, input_pos) 2025-09-07T07:51:20.2652178Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2652250Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2652404Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2652535Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2652689Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2652755Z y = self.wo(y) 2025-09-07T07:51:20.2652757Z 2025-09-07T07:51:20.2652830Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2652957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2653148Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2653212Z logits = model(x, input_pos) 2025-09-07T07:51:20.2653374Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2653446Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2653608Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2653692Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2653846Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2653921Z return output * self.weight 2025-09-07T07:51:20.2653924Z 2025-09-07T07:51:20.2654019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2654208Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2654304Z logits = model(x, input_pos) 2025-09-07T07:51:20.2654462Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2654543Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2654698Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2654789Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2654943Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2655031Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2655033Z 2025-09-07T07:51:20.2655137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2655316Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2655391Z logits = model(x, input_pos) 2025-09-07T07:51:20.2655553Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2655627Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2655793Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2655876Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2656039Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2656125Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2656128Z 2025-09-07T07:51:20.2656232Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2656412Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2656479Z logits = model(x, input_pos) 2025-09-07T07:51:20.2656642Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2656717Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2656886Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2656966Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2657121Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2657213Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2657215Z 2025-09-07T07:51:20.2657311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2657500Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2657568Z logits = model(x, input_pos) 2025-09-07T07:51:20.2657724Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2657806Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2657961Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2658083Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2658239Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2658324Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2658335Z 2025-09-07T07:51:20.2658413Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2658508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2658696Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2658764Z logits = model(x, input_pos) 2025-09-07T07:51:20.2658930Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2659005Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2659160Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2659297Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2659483Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2659559Z return output * self.weight 2025-09-07T07:51:20.2659561Z 2025-09-07T07:51:20.2659656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2659837Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2659909Z logits = model(x, input_pos) 2025-09-07T07:51:20.2660062Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2660143Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2660294Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2660418Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2660579Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2660692Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2660695Z 2025-09-07T07:51:20.2660799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2660979Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2661051Z logits = model(x, input_pos) 2025-09-07T07:51:20.2661206Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2661278Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2661441Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2661567Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2661727Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2661799Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2661982Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2662054Z x_out2 = torch.stack( 2025-09-07T07:51:20.2662057Z 2025-09-07T07:51:20.2662150Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2662339Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2662405Z logits = model(x, input_pos) 2025-09-07T07:51:20.2662560Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2662642Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2662795Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2662927Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2663080Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2663183Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2663365Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2663428Z x_out2 = torch.stack( 2025-09-07T07:51:20.2663430Z 2025-09-07T07:51:20.2663510Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2663583Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2663677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2663864Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2663930Z logits = model(x, input_pos) 2025-09-07T07:51:20.2664090Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2664162Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2664322Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2664471Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2664628Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2664765Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2664768Z 2025-09-07T07:51:20.2664861Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2665048Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2665115Z logits = model(x, input_pos) 2025-09-07T07:51:20.2665271Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2665354Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2665509Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2665640Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2665798Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2665925Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2665937Z 2025-09-07T07:51:20.2666033Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2666213Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2666288Z logits = model(x, input_pos) 2025-09-07T07:51:20.2666442Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2666526Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2666679Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2666803Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2666970Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2667034Z y = self.wo(y) 2025-09-07T07:51:20.2667037Z 2025-09-07T07:51:20.2667143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2667324Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2667388Z logits = model(x, input_pos) 2025-09-07T07:51:20.2667551Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2667624Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2667788Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2667872Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2668025Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2668100Z return output * self.weight 2025-09-07T07:51:20.2668103Z 2025-09-07T07:51:20.2668199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2668426Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2668493Z logits = model(x, input_pos) 2025-09-07T07:51:20.2668655Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2668727Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2668878Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2668967Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2669120Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2669211Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2669213Z 2025-09-07T07:51:20.2669306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2669485Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2669587Z logits = model(x, input_pos) 2025-09-07T07:51:20.2669742Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2669820Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2669974Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2670053Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2670219Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2670305Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2670308Z 2025-09-07T07:51:20.2670410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2670587Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2670654Z logits = model(x, input_pos) 2025-09-07T07:51:20.2670816Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2670893Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2671052Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2671134Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2671296Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2671381Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2671383Z 2025-09-07T07:51:20.2671477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2671663Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2671728Z logits = model(x, input_pos) 2025-09-07T07:51:20.2671888Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2671961Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2672123Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2672210Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2672365Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2672453Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2672456Z 2025-09-07T07:51:20.2672534Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2672628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2672817Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2672881Z logits = model(x, input_pos) 2025-09-07T07:51:20.2673045Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2673120Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2673274Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2673440Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2673594Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2673667Z return output * self.weight 2025-09-07T07:51:20.2673669Z 2025-09-07T07:51:20.2673764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2673949Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2674014Z logits = model(x, input_pos) 2025-09-07T07:51:20.2674167Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2674249Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2674403Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2674537Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2674725Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2674834Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2674837Z 2025-09-07T07:51:20.2674939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2675118Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2675197Z logits = model(x, input_pos) 2025-09-07T07:51:20.2675357Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2675434Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2675599Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2675729Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2675894Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2675976Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2676165Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2676234Z x_out2 = torch.stack( 2025-09-07T07:51:20.2676237Z 2025-09-07T07:51:20.2676336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2676527Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2676596Z logits = model(x, input_pos) 2025-09-07T07:51:20.2676763Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2676839Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2677001Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2677139Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2677306Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2677391Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2677576Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2677644Z x_out2 = torch.stack( 2025-09-07T07:51:20.2677647Z 2025-09-07T07:51:20.2677731Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2677806Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2677914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2678102Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2678174Z logits = model(x, input_pos) 2025-09-07T07:51:20.2678343Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2678421Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2678592Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2678747Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2678903Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2679038Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2679041Z 2025-09-07T07:51:20.2679161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2679355Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2679423Z logits = model(x, input_pos) 2025-09-07T07:51:20.2679588Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2679662Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2679817Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2680012Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2680170Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2680308Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2680311Z 2025-09-07T07:51:20.2680408Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2680589Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2680665Z logits = model(x, input_pos) 2025-09-07T07:51:20.2680826Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2680909Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2681069Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2681200Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2681362Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2681421Z y = self.wo(y) 2025-09-07T07:51:20.2681424Z 2025-09-07T07:51:20.2681509Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2681606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2681797Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2681864Z logits = model(x, input_pos) 2025-09-07T07:51:20.2682023Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2682109Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2682265Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2682362Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2682522Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2682598Z return output * self.weight 2025-09-07T07:51:20.2682601Z 2025-09-07T07:51:20.2682710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2682890Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2682965Z logits = model(x, input_pos) 2025-09-07T07:51:20.2683126Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2683199Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2683364Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2683446Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2683610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2683694Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2683697Z 2025-09-07T07:51:20.2683803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2684040Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2684108Z logits = model(x, input_pos) 2025-09-07T07:51:20.2684272Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2684344Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2684505Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2684585Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2684742Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2684835Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2684838Z 2025-09-07T07:51:20.2684932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2685123Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2685220Z logits = model(x, input_pos) 2025-09-07T07:51:20.2685374Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2685455Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2685610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2685699Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2685854Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2685938Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2685948Z 2025-09-07T07:51:20.2686042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2686223Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2686299Z logits = model(x, input_pos) 2025-09-07T07:51:20.2686458Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2686541Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2686696Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2686776Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2686939Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2687026Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2687029Z 2025-09-07T07:51:20.2687114Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2687209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2687389Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2687465Z logits = model(x, input_pos) 2025-09-07T07:51:20.2687620Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2687708Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2687866Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2687993Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2688155Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2688226Z return output * self.weight 2025-09-07T07:51:20.2688228Z 2025-09-07T07:51:20.2688332Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2688513Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2688580Z logits = model(x, input_pos) 2025-09-07T07:51:20.2688747Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2688821Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2688990Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2689154Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2689318Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2689428Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2689431Z 2025-09-07T07:51:20.2689528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2689719Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2689786Z logits = model(x, input_pos) 2025-09-07T07:51:20.2689956Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2690033Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2690193Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2690389Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2690545Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2690621Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2690799Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2690862Z x_out2 = torch.stack( 2025-09-07T07:51:20.2690865Z 2025-09-07T07:51:20.2690970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2691151Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2691223Z logits = model(x, input_pos) 2025-09-07T07:51:20.2691378Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2691460Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2691616Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2691747Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2691913Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2691984Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2692171Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2692235Z x_out2 = torch.stack( 2025-09-07T07:51:20.2692237Z 2025-09-07T07:51:20.2692310Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2692392Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2692488Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2692676Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2692741Z logits = model(x, input_pos) 2025-09-07T07:51:20.2692898Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2692987Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2693145Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2693278Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2693433Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2693564Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2693567Z 2025-09-07T07:51:20.2693670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2693851Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2693926Z logits = model(x, input_pos) 2025-09-07T07:51:20.2694080Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2694161Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2694346Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2694470Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2694630Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2694758Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2694761Z 2025-09-07T07:51:20.2694864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2695043Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2695108Z logits = model(x, input_pos) 2025-09-07T07:51:20.2695269Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2695341Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2695528Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2695656Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2695812Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2695879Z y = self.wo(y) 2025-09-07T07:51:20.2695882Z 2025-09-07T07:51:20.2695975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2696160Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2696224Z logits = model(x, input_pos) 2025-09-07T07:51:20.2696388Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2696462Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2696617Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2696706Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2696867Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2696941Z return output * self.weight 2025-09-07T07:51:20.2696944Z 2025-09-07T07:51:20.2697039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2697222Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2697295Z logits = model(x, input_pos) 2025-09-07T07:51:20.2697449Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2697528Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2697680Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2697762Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2697926Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2698011Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2698018Z 2025-09-07T07:51:20.2698119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2698300Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2698366Z logits = model(x, input_pos) 2025-09-07T07:51:20.2698530Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2698602Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2698765Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2698846Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2699002Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2699095Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2699098Z 2025-09-07T07:51:20.2699195Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2699418Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2699484Z logits = model(x, input_pos) 2025-09-07T07:51:20.2699646Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2699721Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2699876Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2699966Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2700122Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2700212Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2700215Z 2025-09-07T07:51:20.2700310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2700492Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2700598Z logits = model(x, input_pos) 2025-09-07T07:51:20.2700756Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2700838Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2700992Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2701074Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2701237Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2701320Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2701323Z 2025-09-07T07:51:20.2701406Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2701500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2701689Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2701756Z logits = model(x, input_pos) 2025-09-07T07:51:20.2701916Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2701999Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2702152Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2702289Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2702443Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2702511Z return output * self.weight 2025-09-07T07:51:20.2702514Z 2025-09-07T07:51:20.2702617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2702797Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2702869Z logits = model(x, input_pos) 2025-09-07T07:51:20.2703025Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2703097Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2703264Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2703389Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2703551Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2703657Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2703659Z 2025-09-07T07:51:20.2703759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2703941Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2704006Z logits = model(x, input_pos) 2025-09-07T07:51:20.2704169Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2704242Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2704405Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2704557Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2704711Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2704789Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2704967Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2705042Z x_out2 = torch.stack( 2025-09-07T07:51:20.2705044Z 2025-09-07T07:51:20.2705139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2705320Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2705395Z logits = model(x, input_pos) 2025-09-07T07:51:20.2705550Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2705631Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2705828Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2705956Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2706117Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2706187Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2706370Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2706434Z x_out2 = torch.stack( 2025-09-07T07:51:20.2706437Z 2025-09-07T07:51:20.2706517Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2706587Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2706681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2706867Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2706933Z logits = model(x, input_pos) 2025-09-07T07:51:20.2707101Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2707173Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2707325Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2707455Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2707608Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2707744Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2707747Z 2025-09-07T07:51:20.2707840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2708023Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2708095Z logits = model(x, input_pos) 2025-09-07T07:51:20.2708248Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2708332Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2708488Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2708611Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2708769Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2708895Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2708898Z 2025-09-07T07:51:20.2708999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2709180Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2709256Z logits = model(x, input_pos) 2025-09-07T07:51:20.2709412Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2709485Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2709683Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2709809Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2709970Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2710030Z y = self.wo(y) 2025-09-07T07:51:20.2710033Z 2025-09-07T07:51:20.2710107Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2710208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2710389Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2710464Z logits = model(x, input_pos) 2025-09-07T07:51:20.2710621Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2710697Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2710887Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2710976Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2711138Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2711206Z return output * self.weight 2025-09-07T07:51:20.2711208Z 2025-09-07T07:51:20.2711304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2711495Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2711561Z logits = model(x, input_pos) 2025-09-07T07:51:20.2711727Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2711808Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2711975Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2712059Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2712221Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2712315Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2712318Z 2025-09-07T07:51:20.2712413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2712604Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2712673Z logits = model(x, input_pos) 2025-09-07T07:51:20.2712828Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2712909Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2713065Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2713153Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2713310Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2713401Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2713404Z 2025-09-07T07:51:20.2713507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2713690Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2713762Z logits = model(x, input_pos) 2025-09-07T07:51:20.2713922Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2714003Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2714160Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2714241Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2714409Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2714497Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2714501Z 2025-09-07T07:51:20.2714603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2714819Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2714885Z logits = model(x, input_pos) 2025-09-07T07:51:20.2715047Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2715120Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2715283Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2715364Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2715521Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2715611Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2715614Z 2025-09-07T07:51:20.2715690Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2715796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2716006Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2716076Z logits = model(x, input_pos) 2025-09-07T07:51:20.2716244Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2716317Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2716479Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2716606Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2716771Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2716839Z return output * self.weight 2025-09-07T07:51:20.2716842Z 2025-09-07T07:51:20.2716935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2717126Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2717194Z logits = model(x, input_pos) 2025-09-07T07:51:20.2717362Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2717437Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2717595Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2717731Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2717890Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2718005Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2718008Z 2025-09-07T07:51:20.2718101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2718284Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2718358Z logits = model(x, input_pos) 2025-09-07T07:51:20.2718515Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2718603Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2718761Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2718885Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2719049Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2719119Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2719304Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2719370Z x_out2 = torch.stack( 2025-09-07T07:51:20.2719373Z 2025-09-07T07:51:20.2719477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2719658Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2719724Z logits = model(x, input_pos) 2025-09-07T07:51:20.2719918Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2719993Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2720154Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2720280Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2720435Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2720513Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2720690Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2720761Z x_out2 = torch.stack( 2025-09-07T07:51:20.2720763Z 2025-09-07T07:51:20.2720837Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2720908Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2721012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2721223Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2721299Z logits = model(x, input_pos) 2025-09-07T07:51:20.2721455Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2721530Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2721696Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2721823Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2721986Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2722117Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2722120Z 2025-09-07T07:51:20.2722226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2722412Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2722487Z logits = model(x, input_pos) 2025-09-07T07:51:20.2722654Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2722728Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2722893Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2723019Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2723176Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2723313Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2723316Z 2025-09-07T07:51:20.2723412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2723604Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2723671Z logits = model(x, input_pos) 2025-09-07T07:51:20.2723834Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2723918Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2724076Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2724208Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2724365Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2724432Z y = self.wo(y) 2025-09-07T07:51:20.2724435Z 2025-09-07T07:51:20.2724531Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2724711Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2724787Z logits = model(x, input_pos) 2025-09-07T07:51:20.2724946Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2725061Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2725221Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2725304Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2725469Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2725536Z return output * self.weight 2025-09-07T07:51:20.2725539Z 2025-09-07T07:51:20.2725642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2725823Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2725887Z logits = model(x, input_pos) 2025-09-07T07:51:20.2726052Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2726123Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2726285Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2726407Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2726564Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2726658Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2726661Z 2025-09-07T07:51:20.2726758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2726949Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2727014Z logits = model(x, input_pos) 2025-09-07T07:51:20.2727177Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2727250Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2727407Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2727493Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2727651Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2727747Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2727750Z 2025-09-07T07:51:20.2727847Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2728025Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2728096Z logits = model(x, input_pos) 2025-09-07T07:51:20.2728253Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2728333Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2728488Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2728569Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2728731Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2728814Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2728819Z 2025-09-07T07:51:20.2728925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2729107Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2729179Z logits = model(x, input_pos) 2025-09-07T07:51:20.2729335Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2729407Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2729568Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2729647Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2729812Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2729895Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2729898Z 2025-09-07T07:51:20.2729972Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2730106Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2730287Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2730361Z logits = model(x, input_pos) 2025-09-07T07:51:20.2730517Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2730590Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2730756Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2730882Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2731045Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2731113Z return output * self.weight 2025-09-07T07:51:20.2731115Z 2025-09-07T07:51:20.2731209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2731396Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2731489Z logits = model(x, input_pos) 2025-09-07T07:51:20.2731654Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2731726Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2731891Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2732017Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2732172Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2732284Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2732287Z 2025-09-07T07:51:20.2732381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2732568Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2732635Z logits = model(x, input_pos) 2025-09-07T07:51:20.2732796Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2732879Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2733039Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2733172Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2733327Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2733397Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2733582Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2733647Z x_out2 = torch.stack( 2025-09-07T07:51:20.2733650Z 2025-09-07T07:51:20.2733752Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2733932Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2734016Z logits = model(x, input_pos) 2025-09-07T07:51:20.2734173Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2734247Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2734411Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2734538Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2734703Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2734773Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2734948Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2735020Z x_out2 = torch.stack( 2025-09-07T07:51:20.2735023Z 2025-09-07T07:51:20.2735096Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2735177Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2735307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2735488Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2735563Z logits = model(x, input_pos) 2025-09-07T07:51:20.2735720Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2735801Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2735956Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2736084Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2736246Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2736377Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2736380Z 2025-09-07T07:51:20.2736482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2736695Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2736769Z logits = model(x, input_pos) 2025-09-07T07:51:20.2736927Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2736999Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2737165Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2737290Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2737454Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2737584Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2737587Z 2025-09-07T07:51:20.2737683Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2737874Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2737948Z logits = model(x, input_pos) 2025-09-07T07:51:20.2738115Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2738188Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2738342Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2738474Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2738630Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2738695Z y = self.wo(y) 2025-09-07T07:51:20.2738697Z 2025-09-07T07:51:20.2738772Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2738867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2739055Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2739124Z logits = model(x, input_pos) 2025-09-07T07:51:20.2739294Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2739368Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2739533Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2739620Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2739776Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2739850Z return output * self.weight 2025-09-07T07:51:20.2739853Z 2025-09-07T07:51:20.2739946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2740136Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2740203Z logits = model(x, input_pos) 2025-09-07T07:51:20.2740358Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2740472Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2740630Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2740720Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2740879Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2740964Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2740966Z 2025-09-07T07:51:20.2741068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2741248Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2741319Z logits = model(x, input_pos) 2025-09-07T07:51:20.2741475Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2741550Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2741717Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2741828Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2741993Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2742079Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2742082Z 2025-09-07T07:51:20.2742185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2742366Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2742433Z logits = model(x, input_pos) 2025-09-07T07:51:20.2742598Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2742671Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2742838Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2742919Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2743080Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2743176Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2743179Z 2025-09-07T07:51:20.2743276Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2743464Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2743531Z logits = model(x, input_pos) 2025-09-07T07:51:20.2743687Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2743771Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2743926Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2744013Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2744167Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2744251Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2744266Z 2025-09-07T07:51:20.2744341Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2744436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2744626Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2744694Z logits = model(x, input_pos) 2025-09-07T07:51:20.2744860Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2744934Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2745088Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2745222Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2745380Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2745454Z return output * self.weight 2025-09-07T07:51:20.2745490Z 2025-09-07T07:51:20.2745590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2745772Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2745848Z logits = model(x, input_pos) 2025-09-07T07:51:20.2746000Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2746081Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2746235Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2746362Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2746527Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2746633Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2746636Z 2025-09-07T07:51:20.2746738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2746947Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2747025Z logits = model(x, input_pos) 2025-09-07T07:51:20.2747182Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2747255Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2747420Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2747546Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2747710Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2747780Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2747960Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2748034Z x_out2 = torch.stack( 2025-09-07T07:51:20.2748037Z 2025-09-07T07:51:20.2748142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2748333Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2748400Z logits = model(x, input_pos) 2025-09-07T07:51:20.2748557Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2748639Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2748797Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2748928Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2749083Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2749154Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2749339Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2749402Z x_out2 = torch.stack( 2025-09-07T07:51:20.2749408Z 2025-09-07T07:51:20.2749493Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2749564Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2749665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2749848Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2749914Z logits = model(x, input_pos) 2025-09-07T07:51:20.2750078Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2750152Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2750313Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2750437Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2750592Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2750730Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2750762Z 2025-09-07T07:51:20.2750860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2751050Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2751118Z logits = model(x, input_pos) 2025-09-07T07:51:20.2751274Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2751354Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2751511Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2751643Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2751801Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2751929Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2751940Z 2025-09-07T07:51:20.2752069Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2752252Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2752327Z logits = model(x, input_pos) 2025-09-07T07:51:20.2752483Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2752564Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2752720Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2752843Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2753007Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2753065Z y = self.wo(y) 2025-09-07T07:51:20.2753068Z 2025-09-07T07:51:20.2753171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2753353Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2753424Z logits = model(x, input_pos) 2025-09-07T07:51:20.2753590Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2753663Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2753827Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2753909Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2754063Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2754139Z return output * self.weight 2025-09-07T07:51:20.2754142Z 2025-09-07T07:51:20.2754236Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2754425Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2754491Z logits = model(x, input_pos) 2025-09-07T07:51:20.2754662Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2754736Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2754893Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2754982Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2755136Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2755230Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2755233Z 2025-09-07T07:51:20.2755328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2755507Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2755583Z logits = model(x, input_pos) 2025-09-07T07:51:20.2755740Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2755821Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2756006Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2756089Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2756255Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2756340Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2756343Z 2025-09-07T07:51:20.2756445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2756624Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2756704Z logits = model(x, input_pos) 2025-09-07T07:51:20.2756859Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2756933Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2757096Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2757211Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2757375Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2757460Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2757463Z 2025-09-07T07:51:20.2757559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2757749Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2757815Z logits = model(x, input_pos) 2025-09-07T07:51:20.2757977Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2758052Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2758209Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2758301Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2758458Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2758551Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2758554Z 2025-09-07T07:51:20.2758631Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2758726Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2758915Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2758983Z logits = model(x, input_pos) 2025-09-07T07:51:20.2759147Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2759221Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2759374Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2759508Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2759660Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2759741Z return output * self.weight 2025-09-07T07:51:20.2759743Z 2025-09-07T07:51:20.2759841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2760030Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2760098Z logits = model(x, input_pos) 2025-09-07T07:51:20.2760253Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2760334Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2760488Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2760622Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2760776Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2760883Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2760913Z 2025-09-07T07:51:20.2761019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2761201Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2761272Z logits = model(x, input_pos) 2025-09-07T07:51:20.2761428Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2761499Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2761660Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2761785Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2761945Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2762015Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2762199Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2762267Z x_out2 = torch.stack( 2025-09-07T07:51:20.2762298Z 2025-09-07T07:51:20.2762397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2762585Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2762654Z logits = model(x, input_pos) 2025-09-07T07:51:20.2762819Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2762895Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2763051Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2763186Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2763343Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2763423Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2763605Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2763680Z x_out2 = torch.stack( 2025-09-07T07:51:20.2763682Z 2025-09-07T07:51:20.2763769Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2763845Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2763952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2764135Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2764203Z logits = model(x, input_pos) 2025-09-07T07:51:20.2764370Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2764446Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2764613Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2764742Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2764907Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2765046Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2765049Z 2025-09-07T07:51:20.2765149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2765343Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2765412Z logits = model(x, input_pos) 2025-09-07T07:51:20.2765579Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2765657Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2765816Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2765952Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2766110Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2766252Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2766308Z 2025-09-07T07:51:20.2766406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2766596Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2766663Z logits = model(x, input_pos) 2025-09-07T07:51:20.2766820Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2766902Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2767058Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2767193Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2767351Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2767410Z y = self.wo(y) 2025-09-07T07:51:20.2767413Z 2025-09-07T07:51:20.2767499Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2767627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2767818Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2767884Z logits = model(x, input_pos) 2025-09-07T07:51:20.2768042Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2768124Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2768280Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2768374Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2768530Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2768598Z return output * self.weight 2025-09-07T07:51:20.2768601Z 2025-09-07T07:51:20.2768711Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2768897Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2768974Z logits = model(x, input_pos) 2025-09-07T07:51:20.2769129Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2769204Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2769368Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2769450Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2769614Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2769700Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2769703Z 2025-09-07T07:51:20.2769806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2769987Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2770055Z logits = model(x, input_pos) 2025-09-07T07:51:20.2770225Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2770298Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2770461Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2770543Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2770699Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2770790Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2770793Z 2025-09-07T07:51:20.2770888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2771079Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2771146Z logits = model(x, input_pos) 2025-09-07T07:51:20.2771301Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2771438Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2771596Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2771686Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2771841Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2771926Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2771938Z 2025-09-07T07:51:20.2772035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2772217Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2772294Z logits = model(x, input_pos) 2025-09-07T07:51:20.2772448Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2772528Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2772686Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2772796Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2772963Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2773047Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2773050Z 2025-09-07T07:51:20.2773134Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2773229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2773412Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2773489Z logits = model(x, input_pos) 2025-09-07T07:51:20.2773644Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2773724Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2773881Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2774011Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2774174Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2774242Z return output * self.weight 2025-09-07T07:51:20.2774245Z 2025-09-07T07:51:20.2774345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2774526Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2774598Z logits = model(x, input_pos) 2025-09-07T07:51:20.2774754Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2774827Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2774990Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2775117Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2775279Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 220, in forward 2025-09-07T07:51:20.2775392Z q, k, v = self.wqkv(x).split([self.dim, kv_size, kv_size], dim=-1) 2025-09-07T07:51:20.2775395Z 2025-09-07T07:51:20.2775491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2775679Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2775743Z logits = model(x, input_pos) 2025-09-07T07:51:20.2775908Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2775982Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2776141Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2776275Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2776433Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:51:20.2776510Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:51:20.2776718Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2776783Z x_out2 = torch.stack( 2025-09-07T07:51:20.2776794Z 2025-09-07T07:51:20.2776889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2777070Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2777142Z logits = model(x, input_pos) 2025-09-07T07:51:20.2777297Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2777378Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2777534Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2777659Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2777822Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:51:20.2777923Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:51:20.2778109Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:51:20.2778175Z x_out2 = torch.stack( 2025-09-07T07:51:20.2778178Z 2025-09-07T07:51:20.2778253Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2778334Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2778431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2778618Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2778683Z logits = model(x, input_pos) 2025-09-07T07:51:20.2778838Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2778923Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2779077Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2779249Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2779406Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2779538Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2779548Z 2025-09-07T07:51:20.2779643Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2779826Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2779907Z logits = model(x, input_pos) 2025-09-07T07:51:20.2780069Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2780152Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2780308Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2780435Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2780609Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:51:20.2780740Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:51:20.2780743Z 2025-09-07T07:51:20.2780848Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2781030Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2781097Z logits = model(x, input_pos) 2025-09-07T07:51:20.2781263Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2781339Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2781504Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:51:20.2781630Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:51:20.2781786Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 240, in forward 2025-09-07T07:51:20.2781908Z y = self.wo(y) 2025-09-07T07:51:20.2781910Z 2025-09-07T07:51:20.2782007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2782198Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2782264Z logits = model(x, input_pos) 2025-09-07T07:51:20.2782433Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2782505Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2782663Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2782756Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2782912Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2782985Z return output * self.weight 2025-09-07T07:51:20.2782988Z 2025-09-07T07:51:20.2783083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2783311Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2783391Z logits = model(x, input_pos) 2025-09-07T07:51:20.2783547Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2783628Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2783785Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2783868Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2784030Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2784118Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2784121Z 2025-09-07T07:51:20.2784221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2784403Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2784475Z logits = model(x, input_pos) 2025-09-07T07:51:20.2784635Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2784707Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2784869Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2784950Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2785112Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2785198Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2785201Z 2025-09-07T07:51:20.2785296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2785489Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2785555Z logits = model(x, input_pos) 2025-09-07T07:51:20.2785721Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2785798Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2785952Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2786039Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2786193Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2786283Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2786286Z 2025-09-07T07:51:20.2786379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2786562Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2786634Z logits = model(x, input_pos) 2025-09-07T07:51:20.2786789Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:51:20.2786871Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:51:20.2787055Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:51:20.2787134Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:51:20.2787298Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:51:20.2787382Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:51:20.2787385Z 2025-09-07T07:51:20.2787471Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2787566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2787754Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2787821Z logits = model(x, input_pos) 2025-09-07T07:51:20.2787978Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 161, in forward 2025-09-07T07:51:20.2788045Z x = self.norm(x) 2025-09-07T07:51:20.2788202Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:51:20.2788310Z return output * self.weight 2025-09-07T07:51:20.2788313Z 2025-09-07T07:51:20.2788409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2788589Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:51:20.2788666Z logits = model(x, input_pos) 2025-09-07T07:51:20.2788823Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 162, in forward 2025-09-07T07:51:20.2788897Z logits = self.output(x) 2025-09-07T07:51:20.2788900Z 2025-09-07T07:51:20.2788993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2789175Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:51:20.2789260Z return sample(logits, **sampling_kwargs) 2025-09-07T07:51:20.2789423Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 77, in sample 2025-09-07T07:51:20.2789566Z probs = logits_to_probs(logits[0, -1], temperature, top_k) 2025-09-07T07:51:20.2789751Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 66, in logits_to_probs 2025-09-07T07:51:20.2789829Z logits = logits / max(temperature, 1e-5) 2025-09-07T07:51:20.2789840Z 2025-09-07T07:51:20.2789916Z cudagraph partition due to non gpu ops 2025-09-07T07:51:20.2790012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2790199Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:51:20.2790274Z return sample(logits, **sampling_kwargs) 2025-09-07T07:51:20.2790447Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 77, in sample 2025-09-07T07:51:20.2790559Z probs = logits_to_probs(logits[0, -1], temperature, top_k) 2025-09-07T07:51:20.2790741Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 69, in logits_to_probs 2025-09-07T07:51:20.2790851Z v, _ = torch.topk(logits, min(top_k, logits.size(-1))) 2025-09-07T07:51:20.2790859Z 2025-09-07T07:51:20.2790955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2791142Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:51:20.2791218Z return sample(logits, **sampling_kwargs) 2025-09-07T07:51:20.2791384Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 77, in sample 2025-09-07T07:51:20.2791501Z probs = logits_to_probs(logits[0, -1], temperature, top_k) 2025-09-07T07:51:20.2791678Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 72, in logits_to_probs 2025-09-07T07:51:20.2791789Z probs = torch.nn.functional.softmax(logits, dim=-1) 2025-09-07T07:51:20.2791792Z 2025-09-07T07:51:20.2791884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:51:20.2792075Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:51:20.2792185Z return sample(logits, **sampling_kwargs) 2025-09-07T07:51:20.2792348Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 78, in sample 2025-09-07T07:51:20.2792449Z idx_next = multinomial_sample_one_no_sync(probs) 2025-09-07T07:51:20.2792675Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 62, in multinomial_sample_one_no_sync 2025-09-07T07:51:20.2792827Z return torch.argmax(probs_sort / q, dim=-1, keepdim=True).to(dtype=torch.int) 2025-09-07T07:51:20.2792830Z 2025-09-07T07:51:52.5608257Z Compilation time: 94.79 seconds 2025-09-07T07:53:21.3532294Z Average tokens/sec: 11.26 tokens/sec 2025-09-07T07:53:21.3534674Z Average bandwidth achieved: 148.83 GB/s 2025-09-07T07:53:21.3534985Z Memory used: 0.00 GB 2025-09-07T07:53:21.3535226Z Loading model Llama-2-7b-chat-hf 2025-09-07T07:53:21.3725834Z Using int8 weight-only quantization! 2025-09-07T07:53:46.0226982Z Time to load model: 24.67 seconds 2025-09-07T07:54:23.8710340Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8710918Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8712856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8713239Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8713572Z logits = model(x, input_pos) 2025-09-07T07:54:23.8713857Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8714172Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8714476Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8714840Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8715184Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8715480Z return output * self.weight 2025-09-07T07:54:23.8715607Z 2025-09-07T07:54:23.8715694Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8715931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8716274Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8716581Z logits = model(x, input_pos) 2025-09-07T07:54:23.8716861Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8717164Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8717457Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8717835Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8718259Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8718561Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8718884Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8719223Z x_out2 = torch.stack( 2025-09-07T07:54:23.8719337Z 2025-09-07T07:54:23.8719443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8719848Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8720183Z logits = model(x, input_pos) 2025-09-07T07:54:23.8720503Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8720819Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8721148Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8721535Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8721907Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8722227Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8722557Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8723054Z x_out2 = torch.stack( 2025-09-07T07:54:23.8723175Z 2025-09-07T07:54:23.8723256Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8723470Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8723703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8724094Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8724432Z logits = model(x, input_pos) 2025-09-07T07:54:23.8724753Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8725088Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8725395Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8725775Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8726197Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8726591Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8726783Z 2025-09-07T07:54:23.8726892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8727256Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8727611Z logits = model(x, input_pos) 2025-09-07T07:54:23.8727913Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8728245Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8728550Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8728941Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8729319Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8729705Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8729893Z 2025-09-07T07:54:23.8729978Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8730180Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8730412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8730767Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8731100Z logits = model(x, input_pos) 2025-09-07T07:54:23.8731387Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8731682Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8731973Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8732278Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8732587Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8732875Z return output * self.weight 2025-09-07T07:54:23.8733002Z 2025-09-07T07:54:23.8733078Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8733282Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8733510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8733845Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8734160Z logits = model(x, input_pos) 2025-09-07T07:54:23.8734440Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8734735Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8735020Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8735336Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8735640Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8736004Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8736148Z 2025-09-07T07:54:23.8736231Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8736431Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8736661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8737008Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8737321Z logits = model(x, input_pos) 2025-09-07T07:54:23.8737591Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8737889Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8738182Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8738542Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8738890Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8740189Z return output * self.weight 2025-09-07T07:54:23.8740328Z 2025-09-07T07:54:23.8740404Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8740636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8740982Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8741292Z logits = model(x, input_pos) 2025-09-07T07:54:23.8741580Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8741885Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8742187Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8742534Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8742874Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8743162Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8743487Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8743803Z x_out2 = torch.stack( 2025-09-07T07:54:23.8743910Z 2025-09-07T07:54:23.8744010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8744350Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8744664Z logits = model(x, input_pos) 2025-09-07T07:54:23.8744949Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8745244Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8745530Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8745878Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8746230Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8746532Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8746833Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8747141Z x_out2 = torch.stack( 2025-09-07T07:54:23.8747254Z 2025-09-07T07:54:23.8747331Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8747534Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8747768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8748106Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8748421Z logits = model(x, input_pos) 2025-09-07T07:54:23.8748705Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8749001Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8749287Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8749680Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8750041Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8750423Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8750613Z 2025-09-07T07:54:23.8750721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8751055Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8751381Z logits = model(x, input_pos) 2025-09-07T07:54:23.8751661Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8751961Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8752248Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8752597Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8752982Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8753334Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8753518Z 2025-09-07T07:54:23.8753602Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8753827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8754173Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8754488Z logits = model(x, input_pos) 2025-09-07T07:54:23.8754765Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8755062Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8755348Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8755657Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8755961Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8756259Z return output * self.weight 2025-09-07T07:54:23.8756373Z 2025-09-07T07:54:23.8756448Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8756653Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8756882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8757220Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8757529Z logits = model(x, input_pos) 2025-09-07T07:54:23.8757806Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8758102Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8758394Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8758699Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8758994Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8759309Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8759455Z 2025-09-07T07:54:23.8759531Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8759734Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8759954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8760299Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8760616Z logits = model(x, input_pos) 2025-09-07T07:54:23.8760895Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8761190Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8761478Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8761823Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8762174Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8762529Z return output * self.weight 2025-09-07T07:54:23.8762647Z 2025-09-07T07:54:23.8762723Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8762957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8763297Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8763617Z logits = model(x, input_pos) 2025-09-07T07:54:23.8763902Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8764196Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8764489Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8764843Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8765195Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8765515Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8765832Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8766144Z x_out2 = torch.stack( 2025-09-07T07:54:23.8766249Z 2025-09-07T07:54:23.8766357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8766705Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8767018Z logits = model(x, input_pos) 2025-09-07T07:54:23.8767304Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8767606Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8767907Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8768252Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8768609Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8768904Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8769216Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8769522Z x_out2 = torch.stack( 2025-09-07T07:54:23.8769628Z 2025-09-07T07:54:23.8769701Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8769906Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8770135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8770488Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8770799Z logits = model(x, input_pos) 2025-09-07T07:54:23.8771080Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8771377Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8771677Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8772023Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8772376Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8772807Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8773205Z 2025-09-07T07:54:23.8773332Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8773759Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8774181Z logits = model(x, input_pos) 2025-09-07T07:54:23.8774539Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8774876Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8775281Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8775870Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8776340Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8776789Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8777009Z 2025-09-07T07:54:23.8777107Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8777409Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8777715Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8778181Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8778556Z logits = model(x, input_pos) 2025-09-07T07:54:23.8778883Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8779427Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8779954Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8780411Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8805737Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8806197Z return output * self.weight 2025-09-07T07:54:23.8806333Z 2025-09-07T07:54:23.8806431Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8806654Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8806918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8807301Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8807651Z logits = model(x, input_pos) 2025-09-07T07:54:23.8807965Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8808308Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8808627Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8808976Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8809302Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8809619Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8809779Z 2025-09-07T07:54:23.8809860Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8810075Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8810316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8810671Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8811004Z logits = model(x, input_pos) 2025-09-07T07:54:23.8811297Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8811609Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8811914Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8812283Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8812650Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8812954Z return output * self.weight 2025-09-07T07:54:23.8813074Z 2025-09-07T07:54:23.8813159Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8813388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8813743Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8814071Z logits = model(x, input_pos) 2025-09-07T07:54:23.8814361Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8814670Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8814966Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8815331Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8815834Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8816145Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8816468Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8816798Z x_out2 = torch.stack( 2025-09-07T07:54:23.8816923Z 2025-09-07T07:54:23.8817029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8817392Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8817724Z logits = model(x, input_pos) 2025-09-07T07:54:23.8818010Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8818328Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8818639Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8819057Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8819415Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8819719Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8820048Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8820375Z x_out2 = torch.stack( 2025-09-07T07:54:23.8820484Z 2025-09-07T07:54:23.8820574Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8820777Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8821020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8821378Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8821712Z logits = model(x, input_pos) 2025-09-07T07:54:23.8821998Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8822318Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8822633Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8823004Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8823368Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8823736Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8823938Z 2025-09-07T07:54:23.8824041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8824399Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8824738Z logits = model(x, input_pos) 2025-09-07T07:54:23.8825013Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8825317Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8825623Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8825976Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8826329Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8826677Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8826870Z 2025-09-07T07:54:23.8826946Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8827177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8827523Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8827835Z logits = model(x, input_pos) 2025-09-07T07:54:23.8828124Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8828428Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8828735Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8829081Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8829380Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8829674Z return output * self.weight 2025-09-07T07:54:23.8829801Z 2025-09-07T07:54:23.8829877Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8830083Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8830303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8830651Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8830967Z logits = model(x, input_pos) 2025-09-07T07:54:23.8831250Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8831551Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8831840Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8832185Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8832494Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8832812Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8832957Z 2025-09-07T07:54:23.8833034Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8833241Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8833469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8833809Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8834530Z logits = model(x, input_pos) 2025-09-07T07:54:23.8834805Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8835110Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8835404Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8835763Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8836113Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8836417Z return output * self.weight 2025-09-07T07:54:23.8836545Z 2025-09-07T07:54:23.8836627Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8836861Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8837215Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8837530Z logits = model(x, input_pos) 2025-09-07T07:54:23.8837812Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8838119Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8838418Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8838771Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8839130Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8839425Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8839746Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8840062Z x_out2 = torch.stack( 2025-09-07T07:54:23.8840171Z 2025-09-07T07:54:23.8840269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8840620Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8840945Z logits = model(x, input_pos) 2025-09-07T07:54:23.8841232Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8841530Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8841834Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8842229Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8842586Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8842888Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8843195Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8843509Z x_out2 = torch.stack( 2025-09-07T07:54:23.8843614Z 2025-09-07T07:54:23.8843698Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8843902Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8844123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8844471Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8844787Z logits = model(x, input_pos) 2025-09-07T07:54:23.8845079Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8845413Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8845716Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8846067Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8846415Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8846771Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8846957Z 2025-09-07T07:54:23.8847057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8847402Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8847720Z logits = model(x, input_pos) 2025-09-07T07:54:23.8848001Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8848308Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8848602Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8848955Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8849306Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8849657Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8849844Z 2025-09-07T07:54:23.8849920Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8850130Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8850364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8850710Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8851024Z logits = model(x, input_pos) 2025-09-07T07:54:23.8851295Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8851602Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8851898Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8852204Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8852497Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8852786Z return output * self.weight 2025-09-07T07:54:23.8852910Z 2025-09-07T07:54:23.8852985Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8853191Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8853417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8853751Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8854067Z logits = model(x, input_pos) 2025-09-07T07:54:23.8854341Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8854681Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8854963Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8855265Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8855571Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8855882Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8856025Z 2025-09-07T07:54:23.8856106Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8856305Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8856534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8856880Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8857196Z logits = model(x, input_pos) 2025-09-07T07:54:23.8857467Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8857805Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8858099Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8858449Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8858798Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8859081Z return output * self.weight 2025-09-07T07:54:23.8859208Z 2025-09-07T07:54:23.8859283Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8859513Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8859851Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8860155Z logits = model(x, input_pos) 2025-09-07T07:54:23.8860435Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8860733Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8861030Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8861368Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8861721Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8862011Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8862325Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8862633Z x_out2 = torch.stack( 2025-09-07T07:54:23.8862737Z 2025-09-07T07:54:23.8862837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8863180Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8863492Z logits = model(x, input_pos) 2025-09-07T07:54:23.8863769Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8864071Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8864364Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8864715Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8865060Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8865348Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8865649Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8865956Z x_out2 = torch.stack( 2025-09-07T07:54:23.8866069Z 2025-09-07T07:54:23.8866145Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8866344Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8866561Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8866899Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8867923Z logits = model(x, input_pos) 2025-09-07T07:54:23.8868212Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8868514Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8868807Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8869158Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8869506Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8869863Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8870053Z 2025-09-07T07:54:23.8870154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8870503Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8870821Z logits = model(x, input_pos) 2025-09-07T07:54:23.8871198Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8871502Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8871792Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8872145Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8872494Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8872844Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8873030Z 2025-09-07T07:54:23.8873114Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8873338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8873678Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8873993Z logits = model(x, input_pos) 2025-09-07T07:54:23.8874280Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8874574Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8874870Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8875177Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8875483Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8875762Z return output * self.weight 2025-09-07T07:54:23.8875888Z 2025-09-07T07:54:23.8875965Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8876170Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8876400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8876739Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8877043Z logits = model(x, input_pos) 2025-09-07T07:54:23.8877328Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8877631Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8877925Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8878223Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8878527Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8878837Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8878978Z 2025-09-07T07:54:23.8879063Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8879336Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8879559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8879903Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8880222Z logits = model(x, input_pos) 2025-09-07T07:54:23.8880509Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8880853Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8881147Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8881495Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8881841Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8882131Z return output * self.weight 2025-09-07T07:54:23.8882248Z 2025-09-07T07:54:23.8882323Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8882550Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8882892Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8883206Z logits = model(x, input_pos) 2025-09-07T07:54:23.8883479Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8883830Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8884124Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8884473Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8884818Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8885100Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8885412Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8885726Z x_out2 = torch.stack( 2025-09-07T07:54:23.8885834Z 2025-09-07T07:54:23.8885941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8886273Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8886588Z logits = model(x, input_pos) 2025-09-07T07:54:23.8886871Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8887181Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8887479Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8887820Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8888166Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8888456Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8888766Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8889066Z x_out2 = torch.stack( 2025-09-07T07:54:23.8889178Z 2025-09-07T07:54:23.8889253Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8889455Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8889685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8890027Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8890338Z logits = model(x, input_pos) 2025-09-07T07:54:23.8890616Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8890916Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8891211Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8891552Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8891899Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8892252Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8892438Z 2025-09-07T07:54:23.8892544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8892885Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8893223Z logits = model(x, input_pos) 2025-09-07T07:54:23.8893505Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8893800Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8894096Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8894439Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8894789Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8895140Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8895329Z 2025-09-07T07:54:23.8895414Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8895623Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8895845Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8896198Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8896552Z logits = model(x, input_pos) 2025-09-07T07:54:23.8896838Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8897132Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8897430Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8897738Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8898045Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8898331Z return output * self.weight 2025-09-07T07:54:23.8898458Z 2025-09-07T07:54:23.8898536Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8898740Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8898971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8899317Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8899633Z logits = model(x, input_pos) 2025-09-07T07:54:23.8899915Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8900217Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8900511Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8900814Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8901119Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8901434Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8901575Z 2025-09-07T07:54:23.8901660Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8901863Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8902086Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8902428Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8902750Z logits = model(x, input_pos) 2025-09-07T07:54:23.8903031Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8903319Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8903615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8903962Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8904309Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8904591Z return output * self.weight 2025-09-07T07:54:23.8904718Z 2025-09-07T07:54:23.8904795Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8905021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8905366Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8905678Z logits = model(x, input_pos) 2025-09-07T07:54:23.8906004Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8906301Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8906594Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8906941Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8907278Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8907572Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8907888Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8908201Z x_out2 = torch.stack( 2025-09-07T07:54:23.8908307Z 2025-09-07T07:54:23.8908415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8908752Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8909099Z logits = model(x, input_pos) 2025-09-07T07:54:23.8909389Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8909694Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8909986Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8910337Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8910688Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8910980Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8911293Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8911601Z x_out2 = torch.stack( 2025-09-07T07:54:23.8911716Z 2025-09-07T07:54:23.8911795Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8912004Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8912241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8912577Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8912896Z logits = model(x, input_pos) 2025-09-07T07:54:23.8913170Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8913476Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8913771Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8914122Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8914480Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8914838Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8915027Z 2025-09-07T07:54:23.8915134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8915482Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8915803Z logits = model(x, input_pos) 2025-09-07T07:54:23.8916087Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8916381Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8916673Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8917017Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8917369Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8917722Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8917905Z 2025-09-07T07:54:23.8917995Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8918221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8918593Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8918907Z logits = model(x, input_pos) 2025-09-07T07:54:23.8919184Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8919477Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8919762Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8920064Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8920362Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8920652Z return output * self.weight 2025-09-07T07:54:23.8920765Z 2025-09-07T07:54:23.8920835Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8921029Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8921254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8921620Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8921942Z logits = model(x, input_pos) 2025-09-07T07:54:23.8922218Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8922518Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8922815Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8923124Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8923425Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8923742Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8923887Z 2025-09-07T07:54:23.8923962Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8924164Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8924380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8924719Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8925038Z logits = model(x, input_pos) 2025-09-07T07:54:23.8925319Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8925614Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8925901Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8926248Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8926594Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8926876Z return output * self.weight 2025-09-07T07:54:23.8926992Z 2025-09-07T07:54:23.8927070Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8927287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8927627Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8927947Z logits = model(x, input_pos) 2025-09-07T07:54:23.8928221Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8928514Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8928810Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8929155Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8929505Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8929792Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8930099Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8930403Z x_out2 = torch.stack( 2025-09-07T07:54:23.8930506Z 2025-09-07T07:54:23.8930610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8930957Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8931298Z logits = model(x, input_pos) 2025-09-07T07:54:23.8931580Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8931883Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8932172Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8932514Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8932861Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8933151Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8933460Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8933763Z x_out2 = torch.stack( 2025-09-07T07:54:23.8933867Z 2025-09-07T07:54:23.8933942Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8934149Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8934405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8934752Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8935057Z logits = model(x, input_pos) 2025-09-07T07:54:23.8935337Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8935633Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8935928Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8936279Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8936623Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8936976Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8937170Z 2025-09-07T07:54:23.8937269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8937610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8937913Z logits = model(x, input_pos) 2025-09-07T07:54:23.8938189Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8938482Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8938776Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8939114Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8939452Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8939803Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8939989Z 2025-09-07T07:54:23.8940063Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8940266Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8940492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8940831Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8941138Z logits = model(x, input_pos) 2025-09-07T07:54:23.8941413Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8941710Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8941991Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8942297Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8942599Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8942885Z return output * self.weight 2025-09-07T07:54:23.8942999Z 2025-09-07T07:54:23.8943069Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8943272Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8943530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8943868Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8944178Z logits = model(x, input_pos) 2025-09-07T07:54:23.8944442Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8944733Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8945023Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8945325Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8945615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8945920Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8946066Z 2025-09-07T07:54:23.8946141Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8946342Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8946600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8946943Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8947256Z logits = model(x, input_pos) 2025-09-07T07:54:23.8947530Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8947827Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8948114Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8948467Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8948817Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8949108Z return output * self.weight 2025-09-07T07:54:23.8949224Z 2025-09-07T07:54:23.8949299Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8949528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8949867Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8950190Z logits = model(x, input_pos) 2025-09-07T07:54:23.8950468Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8950763Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8951057Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8951407Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8951755Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8952042Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8952354Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8952666Z x_out2 = torch.stack( 2025-09-07T07:54:23.8952772Z 2025-09-07T07:54:23.8952887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8953230Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8953535Z logits = model(x, input_pos) 2025-09-07T07:54:23.8953820Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8954116Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8954411Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8954755Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8955104Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8955400Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8955709Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8956014Z x_out2 = torch.stack( 2025-09-07T07:54:23.8956149Z 2025-09-07T07:54:23.8956230Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8956434Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8956661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8957002Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8957311Z logits = model(x, input_pos) 2025-09-07T07:54:23.8957588Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8957885Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8958180Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8958534Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8958875Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8959262Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8959456Z 2025-09-07T07:54:23.8959556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8959896Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8960204Z logits = model(x, input_pos) 2025-09-07T07:54:23.8960485Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8960784Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8961078Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8961425Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8961766Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8962117Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8962311Z 2025-09-07T07:54:23.8962392Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8962621Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8962956Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8963275Z logits = model(x, input_pos) 2025-09-07T07:54:23.8963555Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8963855Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8964150Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8964451Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8964757Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8965044Z return output * self.weight 2025-09-07T07:54:23.8965163Z 2025-09-07T07:54:23.8965244Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8965448Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8965677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8966018Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8966333Z logits = model(x, input_pos) 2025-09-07T07:54:23.8966615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8966905Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8967201Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8967510Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8967815Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8968118Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8968270Z 2025-09-07T07:54:23.8968346Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8968584Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8968813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8969150Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8969459Z logits = model(x, input_pos) 2025-09-07T07:54:23.8969738Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8970037Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8970325Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8970667Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8971016Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8971308Z return output * self.weight 2025-09-07T07:54:23.8971421Z 2025-09-07T07:54:23.8971506Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8971756Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8972101Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8972416Z logits = model(x, input_pos) 2025-09-07T07:54:23.8972699Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8972999Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8973289Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8973643Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8973996Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8974294Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8974602Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8974914Z x_out2 = torch.stack( 2025-09-07T07:54:23.8975033Z 2025-09-07T07:54:23.8975135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8975483Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8975802Z logits = model(x, input_pos) 2025-09-07T07:54:23.8976079Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8976382Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8976684Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8977038Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8977381Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8977680Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.8977995Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8978316Z x_out2 = torch.stack( 2025-09-07T07:54:23.8978420Z 2025-09-07T07:54:23.8978504Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8978698Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8978923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8979319Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8979640Z logits = model(x, input_pos) 2025-09-07T07:54:23.8979913Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8980213Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8980514Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8980872Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8981223Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8981630Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8981831Z 2025-09-07T07:54:23.8981930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8982272Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8982589Z logits = model(x, input_pos) 2025-09-07T07:54:23.8982862Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8983164Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8983460Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8983811Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8984164Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.8984500Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.8984733Z 2025-09-07T07:54:23.8984809Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8985013Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8985237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8985566Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8985874Z logits = model(x, input_pos) 2025-09-07T07:54:23.8986146Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8986435Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8986721Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8987014Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8987309Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8987591Z return output * self.weight 2025-09-07T07:54:23.8987710Z 2025-09-07T07:54:23.8987793Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8987986Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8988214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8988548Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8988855Z logits = model(x, input_pos) 2025-09-07T07:54:23.8989132Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8989415Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8989705Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.8990007Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.8990306Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.8990606Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.8990760Z 2025-09-07T07:54:23.8990837Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8991039Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8991262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8991589Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8991896Z logits = model(x, input_pos) 2025-09-07T07:54:23.8992172Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8992466Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8992756Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8993093Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8993438Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.8993720Z return output * self.weight 2025-09-07T07:54:23.8993866Z 2025-09-07T07:54:23.8993950Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.8994164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8994499Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8994808Z logits = model(x, input_pos) 2025-09-07T07:54:23.8995081Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8995372Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8995653Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8995997Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8996341Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.8996624Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.8996967Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.8997267Z x_out2 = torch.stack( 2025-09-07T07:54:23.8997378Z 2025-09-07T07:54:23.8997474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.8997805Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.8998108Z logits = model(x, input_pos) 2025-09-07T07:54:23.8998369Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.8998661Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.8998943Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.8999281Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.8999611Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.8999896Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9000207Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9000508Z x_out2 = torch.stack( 2025-09-07T07:54:23.9000610Z 2025-09-07T07:54:23.9000692Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9000881Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9001105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9001442Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9001751Z logits = model(x, input_pos) 2025-09-07T07:54:23.9002018Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9002311Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9002597Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9002940Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9003287Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9003625Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9003817Z 2025-09-07T07:54:23.9003912Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9004251Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9004559Z logits = model(x, input_pos) 2025-09-07T07:54:23.9004822Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9005112Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9005398Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9005740Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9006082Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9006449Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9006640Z 2025-09-07T07:54:23.9006714Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9006936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9007273Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9007571Z logits = model(x, input_pos) 2025-09-07T07:54:23.9007847Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9008137Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9008425Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9008728Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9009014Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9009327Z return output * self.weight 2025-09-07T07:54:23.9009450Z 2025-09-07T07:54:23.9009527Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9009731Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9009951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9010291Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9010604Z logits = model(x, input_pos) 2025-09-07T07:54:23.9010884Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9011182Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9011468Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9011773Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9012075Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9012388Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9012530Z 2025-09-07T07:54:23.9012606Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9012810Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9013035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9013369Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9013684Z logits = model(x, input_pos) 2025-09-07T07:54:23.9013955Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9014249Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9014543Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9014891Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9015229Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9015530Z return output * self.weight 2025-09-07T07:54:23.9015653Z 2025-09-07T07:54:23.9015729Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9015955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9016286Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9016599Z logits = model(x, input_pos) 2025-09-07T07:54:23.9016882Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9017186Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9017479Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9017817Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9018168Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9018489Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9018793Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9019089Z x_out2 = torch.stack( 2025-09-07T07:54:23.9019200Z 2025-09-07T07:54:23.9019297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9019630Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9019939Z logits = model(x, input_pos) 2025-09-07T07:54:23.9020212Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9020497Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9020785Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9021129Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9021472Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9021782Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9022084Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9022385Z x_out2 = torch.stack( 2025-09-07T07:54:23.9022487Z 2025-09-07T07:54:23.9022569Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9022770Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9022986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9023314Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9023619Z logits = model(x, input_pos) 2025-09-07T07:54:23.9023892Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9024175Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9024460Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9024805Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9025145Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9025488Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9025671Z 2025-09-07T07:54:23.9025768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9026101Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9026406Z logits = model(x, input_pos) 2025-09-07T07:54:23.9026677Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9026960Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9027248Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9027591Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9027935Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9028278Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9028459Z 2025-09-07T07:54:23.9028532Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9028733Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9028957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9029292Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9029592Z logits = model(x, input_pos) 2025-09-07T07:54:23.9029868Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9030161Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9030450Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9030749Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9031078Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9031369Z return output * self.weight 2025-09-07T07:54:23.9031490Z 2025-09-07T07:54:23.9031565Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9031761Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9031975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9032305Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9032609Z logits = model(x, input_pos) 2025-09-07T07:54:23.9032881Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9033172Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9033450Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9033751Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9034076Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9034380Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9034517Z 2025-09-07T07:54:23.9034591Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9034792Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9035016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9035349Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9035644Z logits = model(x, input_pos) 2025-09-07T07:54:23.9035917Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9036209Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9036498Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9036835Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9037170Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9037455Z return output * self.weight 2025-09-07T07:54:23.9037576Z 2025-09-07T07:54:23.9037649Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9037868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9038189Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9038494Z logits = model(x, input_pos) 2025-09-07T07:54:23.9038765Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9039055Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9039345Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9039674Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9040023Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9040307Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9040611Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9040906Z x_out2 = torch.stack( 2025-09-07T07:54:23.9041018Z 2025-09-07T07:54:23.9041116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9041448Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9041753Z logits = model(x, input_pos) 2025-09-07T07:54:23.9042027Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9042311Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9042599Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9042940Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9043324Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9043604Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9043913Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9044217Z x_out2 = torch.stack( 2025-09-07T07:54:23.9044318Z 2025-09-07T07:54:23.9044400Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9044603Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9044818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9045152Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9045460Z logits = model(x, input_pos) 2025-09-07T07:54:23.9045735Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9046017Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9046341Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9046687Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9046844Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9046987Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9046991Z 2025-09-07T07:54:23.9047088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9047279Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9047348Z logits = model(x, input_pos) 2025-09-07T07:54:23.9047506Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9047587Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9047742Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9047878Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9048035Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9048168Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9048171Z 2025-09-07T07:54:23.9048246Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9048343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9048534Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9048601Z logits = model(x, input_pos) 2025-09-07T07:54:23.9048762Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9048836Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9048989Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9049087Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9049244Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9049322Z return output * self.weight 2025-09-07T07:54:23.9049324Z 2025-09-07T07:54:23.9049399Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9049472Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9049579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9049761Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9049836Z logits = model(x, input_pos) 2025-09-07T07:54:23.9049992Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9050066Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9050230Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9050351Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9050518Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9050607Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9050610Z 2025-09-07T07:54:23.9050694Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9050769Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9050868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9051065Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9051134Z logits = model(x, input_pos) 2025-09-07T07:54:23.9051304Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9051382Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9051541Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9051711Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9051867Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9051941Z return output * self.weight 2025-09-07T07:54:23.9051944Z 2025-09-07T07:54:23.9052017Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9052113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9052302Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9052367Z logits = model(x, input_pos) 2025-09-07T07:54:23.9052529Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9052603Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9052756Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9052889Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9053052Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9053133Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9053313Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9053377Z x_out2 = torch.stack( 2025-09-07T07:54:23.9053380Z 2025-09-07T07:54:23.9053486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9053667Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9053741Z logits = model(x, input_pos) 2025-09-07T07:54:23.9053898Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9053981Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9054136Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9054268Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9054433Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9054503Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9054692Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9054758Z x_out2 = torch.stack( 2025-09-07T07:54:23.9054761Z 2025-09-07T07:54:23.9054834Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9054918Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9055015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9055204Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9055276Z logits = model(x, input_pos) 2025-09-07T07:54:23.9055432Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9055573Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9055729Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9055861Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9056020Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9056148Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9056158Z 2025-09-07T07:54:23.9056254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9056434Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9056507Z logits = model(x, input_pos) 2025-09-07T07:54:23.9056663Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9056744Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9056966Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9057094Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9057255Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9057381Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9057384Z 2025-09-07T07:54:23.9057464Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9057534Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9057628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9057818Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9057885Z logits = model(x, input_pos) 2025-09-07T07:54:23.9058046Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9058123Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9058281Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9058374Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9058531Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9058609Z return output * self.weight 2025-09-07T07:54:23.9058612Z 2025-09-07T07:54:23.9058683Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9058755Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9058859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9059039Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9059111Z logits = model(x, input_pos) 2025-09-07T07:54:23.9059270Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9059342Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9059511Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9059596Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9059758Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9059846Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9059850Z 2025-09-07T07:54:23.9059933Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9060006Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9060102Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9060291Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9060358Z logits = model(x, input_pos) 2025-09-07T07:54:23.9060521Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9060594Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9060781Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9060915Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9061069Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9061144Z return output * self.weight 2025-09-07T07:54:23.9061147Z 2025-09-07T07:54:23.9061217Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9061313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9061499Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9061565Z logits = model(x, input_pos) 2025-09-07T07:54:23.9061729Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9061803Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9061984Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9062121Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9062274Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9062351Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9062533Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9062597Z x_out2 = torch.stack( 2025-09-07T07:54:23.9062606Z 2025-09-07T07:54:23.9062700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9062878Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9062950Z logits = model(x, input_pos) 2025-09-07T07:54:23.9063104Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9063182Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9063340Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9063464Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9063628Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9063698Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9063880Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9063946Z x_out2 = torch.stack( 2025-09-07T07:54:23.9063949Z 2025-09-07T07:54:23.9064022Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9064102Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9064195Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9064382Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9064448Z logits = model(x, input_pos) 2025-09-07T07:54:23.9064609Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9064693Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9064847Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9064980Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9065135Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9065265Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9065274Z 2025-09-07T07:54:23.9065370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9065548Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9065625Z logits = model(x, input_pos) 2025-09-07T07:54:23.9065777Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9065902Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9066062Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9066188Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9066354Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9066481Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9066484Z 2025-09-07T07:54:23.9066565Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9066661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9066843Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9066920Z logits = model(x, input_pos) 2025-09-07T07:54:23.9067077Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9067191Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9067348Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9067431Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9067594Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9067663Z return output * self.weight 2025-09-07T07:54:23.9067666Z 2025-09-07T07:54:23.9067748Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9067821Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9067916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9068108Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9068177Z logits = model(x, input_pos) 2025-09-07T07:54:23.9068338Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9068416Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9068579Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9068663Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9068821Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9068916Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9068919Z 2025-09-07T07:54:23.9068992Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9069072Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9069168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9069348Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9069425Z logits = model(x, input_pos) 2025-09-07T07:54:23.9069581Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9069668Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9069825Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9069950Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9070113Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9070181Z return output * self.weight 2025-09-07T07:54:23.9070184Z 2025-09-07T07:54:23.9070266Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9070361Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9070541Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9070615Z logits = model(x, input_pos) 2025-09-07T07:54:23.9070767Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9070851Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9071042Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9071166Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9071329Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9071397Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9071578Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9071642Z x_out2 = torch.stack( 2025-09-07T07:54:23.9071645Z 2025-09-07T07:54:23.9071747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9071927Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9071991Z logits = model(x, input_pos) 2025-09-07T07:54:23.9072155Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9072259Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9072425Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9072550Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9072704Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9072781Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9072957Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9073029Z x_out2 = torch.stack( 2025-09-07T07:54:23.9073032Z 2025-09-07T07:54:23.9073104Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9073174Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9073278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9073457Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9073535Z logits = model(x, input_pos) 2025-09-07T07:54:23.9073692Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9073766Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9073929Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9074054Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9074216Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9074346Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9074349Z 2025-09-07T07:54:23.9074451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9074629Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9074695Z logits = model(x, input_pos) 2025-09-07T07:54:23.9074860Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9074933Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9075093Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9075217Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9075371Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9075507Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9075510Z 2025-09-07T07:54:23.9075583Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9075664Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9075760Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9075940Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9076045Z logits = model(x, input_pos) 2025-09-07T07:54:23.9076203Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9076289Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9076447Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9076532Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9076697Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9076764Z return output * self.weight 2025-09-07T07:54:23.9076767Z 2025-09-07T07:54:23.9076848Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9076921Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9077026Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9077209Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9077278Z logits = model(x, input_pos) 2025-09-07T07:54:23.9077478Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9077553Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9077719Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9077802Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9077957Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9078052Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9078055Z 2025-09-07T07:54:23.9078128Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9078207Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9078303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9078483Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9078560Z logits = model(x, input_pos) 2025-09-07T07:54:23.9078723Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9078807Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9078967Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9079095Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9079304Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9079373Z return output * self.weight 2025-09-07T07:54:23.9079376Z 2025-09-07T07:54:23.9079457Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9079559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9079747Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9079828Z logits = model(x, input_pos) 2025-09-07T07:54:23.9079994Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9080086Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9080251Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9080390Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9080585Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9080654Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9080844Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9080910Z x_out2 = torch.stack( 2025-09-07T07:54:23.9080913Z 2025-09-07T07:54:23.9081019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9081204Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9081270Z logits = model(x, input_pos) 2025-09-07T07:54:23.9081494Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9081569Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9081735Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9081859Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9082011Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9082089Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9082267Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9082338Z x_out2 = torch.stack( 2025-09-07T07:54:23.9082341Z 2025-09-07T07:54:23.9082415Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9082484Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9082588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9082820Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9082899Z logits = model(x, input_pos) 2025-09-07T07:54:23.9083054Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9083128Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9083292Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9083417Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9083576Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9083705Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9083708Z 2025-09-07T07:54:23.9083810Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9083992Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9084061Z logits = model(x, input_pos) 2025-09-07T07:54:23.9084222Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9084295Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9084457Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9084579Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9084732Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9084868Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9084871Z 2025-09-07T07:54:23.9084945Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9085048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9085229Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9085308Z logits = model(x, input_pos) 2025-09-07T07:54:23.9085463Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9085538Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9085699Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9085786Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9085949Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9086016Z return output * self.weight 2025-09-07T07:54:23.9086019Z 2025-09-07T07:54:23.9086094Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9086174Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9086269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9086455Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9086556Z logits = model(x, input_pos) 2025-09-07T07:54:23.9086713Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9086796Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9086952Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9087044Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9087199Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9087283Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9087286Z 2025-09-07T07:54:23.9087369Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9087443Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9087547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9087728Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9087830Z logits = model(x, input_pos) 2025-09-07T07:54:23.9087997Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9088071Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9088232Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9088358Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9088515Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9088589Z return output * self.weight 2025-09-07T07:54:23.9088592Z 2025-09-07T07:54:23.9088663Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9088767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9088945Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9089021Z logits = model(x, input_pos) 2025-09-07T07:54:23.9089184Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9089259Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9089421Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9089548Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9089708Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9089778Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9089956Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9090028Z x_out2 = torch.stack( 2025-09-07T07:54:23.9090031Z 2025-09-07T07:54:23.9090127Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9090316Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9090390Z logits = model(x, input_pos) 2025-09-07T07:54:23.9090545Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9090625Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9090781Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9090910Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9091064Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9091133Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9091313Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9091377Z x_out2 = torch.stack( 2025-09-07T07:54:23.9091380Z 2025-09-07T07:54:23.9091461Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9091534Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9091661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9091849Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9091914Z logits = model(x, input_pos) 2025-09-07T07:54:23.9092076Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9092148Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9092310Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9092435Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9092589Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9092727Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9092730Z 2025-09-07T07:54:23.9092826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9093046Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9093114Z logits = model(x, input_pos) 2025-09-07T07:54:23.9093271Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9093354Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9093508Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9093636Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9093790Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9093916Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9093926Z 2025-09-07T07:54:23.9093997Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9094069Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9094176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9094356Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9094428Z logits = model(x, input_pos) 2025-09-07T07:54:23.9094583Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9094654Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9094816Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9094899Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9095061Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9095128Z return output * self.weight 2025-09-07T07:54:23.9095130Z 2025-09-07T07:54:23.9095203Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9095283Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9095378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9095574Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9095641Z logits = model(x, input_pos) 2025-09-07T07:54:23.9095798Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9095878Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9096030Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9096123Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9096280Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9096366Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9096369Z 2025-09-07T07:54:23.9096449Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9096522Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9096623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9096838Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9096905Z logits = model(x, input_pos) 2025-09-07T07:54:23.9097066Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9097139Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9097302Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9097430Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9097591Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9097658Z return output * self.weight 2025-09-07T07:54:23.9097661Z 2025-09-07T07:54:23.9097734Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9097835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9098050Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9098128Z logits = model(x, input_pos) 2025-09-07T07:54:23.9098285Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9098358Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9098523Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9098650Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9098817Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9098888Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9099066Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9099139Z x_out2 = torch.stack( 2025-09-07T07:54:23.9099142Z 2025-09-07T07:54:23.9099237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9099438Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9099503Z logits = model(x, input_pos) 2025-09-07T07:54:23.9099662Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9099743Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9099898Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9100029Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9100183Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9100251Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9100435Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9100500Z x_out2 = torch.stack( 2025-09-07T07:54:23.9100505Z 2025-09-07T07:54:23.9100589Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9100661Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9100763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9100944Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9101011Z logits = model(x, input_pos) 2025-09-07T07:54:23.9101175Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9101250Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9101416Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9101543Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9101698Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9101836Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9101872Z 2025-09-07T07:54:23.9101971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9102160Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9102227Z logits = model(x, input_pos) 2025-09-07T07:54:23.9102380Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9102463Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9102617Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9102748Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9102901Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9103034Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9103037Z 2025-09-07T07:54:23.9103113Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9103240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9103433Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9103499Z logits = model(x, input_pos) 2025-09-07T07:54:23.9103662Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9103734Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9103892Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9103986Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9104140Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9104214Z return output * self.weight 2025-09-07T07:54:23.9104217Z 2025-09-07T07:54:23.9104289Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9104361Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9104470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9104649Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9104724Z logits = model(x, input_pos) 2025-09-07T07:54:23.9104879Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9104954Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9105119Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9105202Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9105364Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9105450Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9105453Z 2025-09-07T07:54:23.9105531Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9105603Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9105702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9105889Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9105955Z logits = model(x, input_pos) 2025-09-07T07:54:23.9106115Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9106189Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9106346Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9106477Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9106630Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9106702Z return output * self.weight 2025-09-07T07:54:23.9106705Z 2025-09-07T07:54:23.9106776Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9106871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9107090Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9107155Z logits = model(x, input_pos) 2025-09-07T07:54:23.9107316Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9107389Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9107541Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9107673Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9107827Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9107902Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9108079Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9108145Z x_out2 = torch.stack( 2025-09-07T07:54:23.9108151Z 2025-09-07T07:54:23.9108286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9108470Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9108542Z logits = model(x, input_pos) 2025-09-07T07:54:23.9108702Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9108774Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9108936Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9109062Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9109226Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9109297Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9109482Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9109548Z x_out2 = torch.stack( 2025-09-07T07:54:23.9109554Z 2025-09-07T07:54:23.9109629Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9109709Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9109805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9109997Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9110062Z logits = model(x, input_pos) 2025-09-07T07:54:23.9110218Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9110302Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9110462Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9110597Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9110754Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9110892Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9110895Z 2025-09-07T07:54:23.9111000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9111184Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9111260Z logits = model(x, input_pos) 2025-09-07T07:54:23.9111417Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9111498Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9111654Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9111778Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9111941Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9112069Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9112099Z 2025-09-07T07:54:23.9112183Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9112257Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9112353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9112543Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9112611Z logits = model(x, input_pos) 2025-09-07T07:54:23.9112778Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9112853Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9113013Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9113108Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9113262Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9113334Z return output * self.weight 2025-09-07T07:54:23.9113340Z 2025-09-07T07:54:23.9113441Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9113514Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9113620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9113800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9113874Z logits = model(x, input_pos) 2025-09-07T07:54:23.9114026Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9114102Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9114264Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9114348Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9114509Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9114596Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9114602Z 2025-09-07T07:54:23.9114685Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9114758Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9114854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9115042Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9115109Z logits = model(x, input_pos) 2025-09-07T07:54:23.9115273Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9115349Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9115503Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9115635Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9115790Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9115863Z return output * self.weight 2025-09-07T07:54:23.9115869Z 2025-09-07T07:54:23.9115945Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9116041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9116227Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9116293Z logits = model(x, input_pos) 2025-09-07T07:54:23.9116456Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9116528Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9116681Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9116813Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9116966Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9117044Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9117225Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9117315Z x_out2 = torch.stack( 2025-09-07T07:54:23.9117326Z 2025-09-07T07:54:23.9117420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9117601Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9117674Z logits = model(x, input_pos) 2025-09-07T07:54:23.9117833Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9117912Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9118072Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9118197Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9118361Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9118431Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9118651Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9118718Z x_out2 = torch.stack( 2025-09-07T07:54:23.9118721Z 2025-09-07T07:54:23.9118792Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9118875Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9118972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9119158Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9119224Z logits = model(x, input_pos) 2025-09-07T07:54:23.9119379Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9119465Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9119621Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9119755Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9119915Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9120044Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9120056Z 2025-09-07T07:54:23.9120151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9120332Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9120408Z logits = model(x, input_pos) 2025-09-07T07:54:23.9120562Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9120647Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9120800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9120925Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9121090Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9121224Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9121227Z 2025-09-07T07:54:23.9121308Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9121402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9121579Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9121656Z logits = model(x, input_pos) 2025-09-07T07:54:23.9121811Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9121896Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9122049Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9122133Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9122295Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9122402Z return output * self.weight 2025-09-07T07:54:23.9122408Z 2025-09-07T07:54:23.9122488Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9122559Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9122653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9122840Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9122907Z logits = model(x, input_pos) 2025-09-07T07:54:23.9123070Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9123144Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9123309Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9123392Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9123547Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9123641Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9123673Z 2025-09-07T07:54:23.9123749Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9123829Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9123925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9124106Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9124181Z logits = model(x, input_pos) 2025-09-07T07:54:23.9124337Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9124418Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9124576Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9124701Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9124869Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9124942Z return output * self.weight 2025-09-07T07:54:23.9124947Z 2025-09-07T07:54:23.9125025Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9125121Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9125302Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9125378Z logits = model(x, input_pos) 2025-09-07T07:54:23.9125536Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9125617Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9125773Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9125897Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9126060Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9126129Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9126320Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9126384Z x_out2 = torch.stack( 2025-09-07T07:54:23.9126387Z 2025-09-07T07:54:23.9126490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9126669Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9126736Z logits = model(x, input_pos) 2025-09-07T07:54:23.9126897Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9126970Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9127131Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9127255Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9127408Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9127516Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9127694Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9127763Z x_out2 = torch.stack( 2025-09-07T07:54:23.9127766Z 2025-09-07T07:54:23.9127837Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9127908Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9128016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9128195Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9128268Z logits = model(x, input_pos) 2025-09-07T07:54:23.9128423Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9128498Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9128662Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9128811Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9128974Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9129102Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9129105Z 2025-09-07T07:54:23.9129209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9129391Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9129454Z logits = model(x, input_pos) 2025-09-07T07:54:23.9129614Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9129689Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9129854Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9129977Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9130139Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9130275Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9130278Z 2025-09-07T07:54:23.9130350Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9130430Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9130526Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9130705Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9130779Z logits = model(x, input_pos) 2025-09-07T07:54:23.9130934Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9131015Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9131168Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9131252Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9131418Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9131484Z return output * self.weight 2025-09-07T07:54:23.9131487Z 2025-09-07T07:54:23.9131569Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9131641Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9131746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9131928Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9131995Z logits = model(x, input_pos) 2025-09-07T07:54:23.9132159Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9132233Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9132398Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9132482Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9132668Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9132763Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9132766Z 2025-09-07T07:54:23.9132837Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9132916Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9133010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9133193Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9133268Z logits = model(x, input_pos) 2025-09-07T07:54:23.9133426Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9133507Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9133660Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9133786Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9133980Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9134046Z return output * self.weight 2025-09-07T07:54:23.9134049Z 2025-09-07T07:54:23.9134128Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9134222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9134402Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9134475Z logits = model(x, input_pos) 2025-09-07T07:54:23.9134628Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9134708Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9134862Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9134995Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9135152Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9135223Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9135410Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9135474Z x_out2 = torch.stack( 2025-09-07T07:54:23.9135477Z 2025-09-07T07:54:23.9135580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9135766Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9135830Z logits = model(x, input_pos) 2025-09-07T07:54:23.9135991Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9136064Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9136226Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9136349Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9136507Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9136585Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9136760Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9136830Z x_out2 = torch.stack( 2025-09-07T07:54:23.9136832Z 2025-09-07T07:54:23.9136906Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9136977Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9137083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9137263Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9137334Z logits = model(x, input_pos) 2025-09-07T07:54:23.9137488Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9137561Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9137725Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9137898Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9138060Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9138190Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9138193Z 2025-09-07T07:54:23.9138296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9138478Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9138543Z logits = model(x, input_pos) 2025-09-07T07:54:23.9138713Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9138787Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9138950Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9139105Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9139261Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9139393Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9139396Z 2025-09-07T07:54:23.9139470Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9139573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9139751Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9139817Z logits = model(x, input_pos) 2025-09-07T07:54:23.9139982Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9140053Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9140215Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9140304Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9140468Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9140534Z return output * self.weight 2025-09-07T07:54:23.9140537Z 2025-09-07T07:54:23.9140610Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9140693Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9140786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9140974Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9141040Z logits = model(x, input_pos) 2025-09-07T07:54:23.9141197Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9141282Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9141436Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9141526Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9141688Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9141775Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9141778Z 2025-09-07T07:54:23.9141863Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9141936Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9142038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9142220Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9142285Z logits = model(x, input_pos) 2025-09-07T07:54:23.9142452Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9142527Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9142693Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9142822Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9143012Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9143090Z return output * self.weight 2025-09-07T07:54:23.9143093Z 2025-09-07T07:54:23.9143167Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9143268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9143449Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9143526Z logits = model(x, input_pos) 2025-09-07T07:54:23.9143681Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9143755Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9143917Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9144042Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9144236Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9144309Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9144488Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9144559Z x_out2 = torch.stack( 2025-09-07T07:54:23.9144562Z 2025-09-07T07:54:23.9144656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9144844Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9144911Z logits = model(x, input_pos) 2025-09-07T07:54:23.9145067Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9145150Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9145304Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9145439Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9145599Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9145670Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9145856Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9145919Z x_out2 = torch.stack( 2025-09-07T07:54:23.9145922Z 2025-09-07T07:54:23.9146001Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9146073Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9146169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9146359Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9146426Z logits = model(x, input_pos) 2025-09-07T07:54:23.9146589Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9146664Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9146834Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9146961Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9147115Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9147254Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9147257Z 2025-09-07T07:54:23.9147351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9147538Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9147604Z logits = model(x, input_pos) 2025-09-07T07:54:23.9147760Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9147841Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9147999Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9148160Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9148315Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9148439Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9148449Z 2025-09-07T07:54:23.9148523Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9148594Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9148698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9148877Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9148949Z logits = model(x, input_pos) 2025-09-07T07:54:23.9149104Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9149180Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9149373Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9149460Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9149627Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9149692Z return output * self.weight 2025-09-07T07:54:23.9149695Z 2025-09-07T07:54:23.9149767Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9149845Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9149938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9150123Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9150190Z logits = model(x, input_pos) 2025-09-07T07:54:23.9150345Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9150426Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9150586Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9150679Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9150835Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9150921Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9150923Z 2025-09-07T07:54:23.9151005Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9151078Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9151181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9151360Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9151426Z logits = model(x, input_pos) 2025-09-07T07:54:23.9151593Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9151666Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9151834Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9151958Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9152117Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9152193Z return output * self.weight 2025-09-07T07:54:23.9152196Z 2025-09-07T07:54:23.9152267Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9152372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9152553Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9152627Z logits = model(x, input_pos) 2025-09-07T07:54:23.9152786Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9152860Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9153024Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9153183Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9153347Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9153417Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9153595Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9153666Z x_out2 = torch.stack( 2025-09-07T07:54:23.9153669Z 2025-09-07T07:54:23.9153766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9153958Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9154025Z logits = model(x, input_pos) 2025-09-07T07:54:23.9154181Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9154263Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9154448Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9154582Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9154736Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9154805Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9154987Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9155052Z x_out2 = torch.stack( 2025-09-07T07:54:23.9155055Z 2025-09-07T07:54:23.9155137Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9155207Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9155308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9155489Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9155555Z logits = model(x, input_pos) 2025-09-07T07:54:23.9155721Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9155795Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9155959Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9156085Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9156240Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9156378Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9156381Z 2025-09-07T07:54:23.9156474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9156663Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9156731Z logits = model(x, input_pos) 2025-09-07T07:54:23.9156886Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9156976Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9157132Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9157266Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9157420Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9157553Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9157556Z 2025-09-07T07:54:23.9157630Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9157724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9157911Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9157977Z logits = model(x, input_pos) 2025-09-07T07:54:23.9158143Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9158249Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9158405Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9158496Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9158650Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9158724Z return output * self.weight 2025-09-07T07:54:23.9158726Z 2025-09-07T07:54:23.9158801Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9158874Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9158978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9159157Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9159231Z logits = model(x, input_pos) 2025-09-07T07:54:23.9159387Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9159461Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9159667Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9159752Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9159917Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9160004Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9160007Z 2025-09-07T07:54:23.9160079Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9160159Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9160257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9160449Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9160518Z logits = model(x, input_pos) 2025-09-07T07:54:23.9160677Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9160757Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9160920Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9161057Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9161214Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9161286Z return output * self.weight 2025-09-07T07:54:23.9161289Z 2025-09-07T07:54:23.9161364Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9161458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9161653Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9161721Z logits = model(x, input_pos) 2025-09-07T07:54:23.9161888Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9161961Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9162122Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9162255Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9162413Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9162493Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9162672Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9162736Z x_out2 = torch.stack( 2025-09-07T07:54:23.9162739Z 2025-09-07T07:54:23.9162841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9163024Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9163098Z logits = model(x, input_pos) 2025-09-07T07:54:23.9163255Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9163330Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9163528Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9163653Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9163815Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9163883Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9164068Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9164133Z x_out2 = torch.stack( 2025-09-07T07:54:23.9164136Z 2025-09-07T07:54:23.9164208Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9164291Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9164388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9164575Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9164645Z logits = model(x, input_pos) 2025-09-07T07:54:23.9164830Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9164916Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9165073Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9165208Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9165364Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9165493Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9165495Z 2025-09-07T07:54:23.9165601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9165783Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9165857Z logits = model(x, input_pos) 2025-09-07T07:54:23.9166014Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9166090Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9166254Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9166379Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9166543Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9166671Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9166674Z 2025-09-07T07:54:23.9166756Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9166828Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9166923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9167113Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9167179Z logits = model(x, input_pos) 2025-09-07T07:54:23.9167352Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9167427Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9167584Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9167677Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9167830Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9167901Z return output * self.weight 2025-09-07T07:54:23.9167904Z 2025-09-07T07:54:23.9167976Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9168047Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9168151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9168332Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9168405Z logits = model(x, input_pos) 2025-09-07T07:54:23.9168596Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9168669Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9168834Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9168917Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9169082Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9169167Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9169170Z 2025-09-07T07:54:23.9169251Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9169324Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9169419Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9169607Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9169672Z logits = model(x, input_pos) 2025-09-07T07:54:23.9169863Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9169938Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9170095Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9170228Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9170383Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9170456Z return output * self.weight 2025-09-07T07:54:23.9170459Z 2025-09-07T07:54:23.9170530Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9170625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9170811Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9170877Z logits = model(x, input_pos) 2025-09-07T07:54:23.9171037Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9171117Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9171273Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9171405Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9171559Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9171638Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9171816Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9171878Z x_out2 = torch.stack( 2025-09-07T07:54:23.9171890Z 2025-09-07T07:54:23.9171985Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9172164Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9172236Z logits = model(x, input_pos) 2025-09-07T07:54:23.9172397Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9172478Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9172635Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9172761Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9172926Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9172993Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9173180Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9173244Z x_out2 = torch.stack( 2025-09-07T07:54:23.9173247Z 2025-09-07T07:54:23.9173321Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9173401Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9173497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9173719Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9173786Z logits = model(x, input_pos) 2025-09-07T07:54:23.9173942Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9174026Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9174179Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9174310Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9174464Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9174590Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9174604Z 2025-09-07T07:54:23.9174699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9174882Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9174986Z logits = model(x, input_pos) 2025-09-07T07:54:23.9175143Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9175223Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9175380Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9175506Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9175671Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9175801Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9175804Z 2025-09-07T07:54:23.9175883Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9175977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9176155Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9176237Z logits = model(x, input_pos) 2025-09-07T07:54:23.9176391Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9176473Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9176627Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9176710Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9176875Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9176942Z return output * self.weight 2025-09-07T07:54:23.9176945Z 2025-09-07T07:54:23.9177028Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9177100Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9177194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9177382Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9177450Z logits = model(x, input_pos) 2025-09-07T07:54:23.9177615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9177689Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9177844Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9177937Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9178089Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9178186Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9178189Z 2025-09-07T07:54:23.9178261Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9178339Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9178432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9178643Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9178753Z logits = model(x, input_pos) 2025-09-07T07:54:23.9178913Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9178997Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9179190Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9179321Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9179496Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9179564Z return output * self.weight 2025-09-07T07:54:23.9179567Z 2025-09-07T07:54:23.9179649Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9179745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9179934Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9180009Z logits = model(x, input_pos) 2025-09-07T07:54:23.9180230Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9180316Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9180475Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9180605Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9180773Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9180843Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9181033Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9181097Z x_out2 = torch.stack( 2025-09-07T07:54:23.9181100Z 2025-09-07T07:54:23.9181206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9181394Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9181465Z logits = model(x, input_pos) 2025-09-07T07:54:23.9181637Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9181714Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9181888Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9182017Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9182175Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9182255Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9182437Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9182512Z x_out2 = torch.stack( 2025-09-07T07:54:23.9182515Z 2025-09-07T07:54:23.9182590Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9182665Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9182774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9182966Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9183044Z logits = model(x, input_pos) 2025-09-07T07:54:23.9183204Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9183281Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9183446Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9183574Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9183742Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9183873Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9183876Z 2025-09-07T07:54:23.9183982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9184172Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9184289Z logits = model(x, input_pos) 2025-09-07T07:54:23.9184457Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9184532Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9184699Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9184827Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9184985Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9185122Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9185126Z 2025-09-07T07:54:23.9185200Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9185283Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9185381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9185603Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9185680Z logits = model(x, input_pos) 2025-09-07T07:54:23.9185842Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9185925Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9186083Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9186168Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9186335Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9186403Z return output * self.weight 2025-09-07T07:54:23.9186406Z 2025-09-07T07:54:23.9186490Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9186563Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9186660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9186861Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9186934Z logits = model(x, input_pos) 2025-09-07T07:54:23.9187101Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9187174Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9187340Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9187423Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9187581Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9187677Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9187680Z 2025-09-07T07:54:23.9187756Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9187837Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9187932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9188121Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9188199Z logits = model(x, input_pos) 2025-09-07T07:54:23.9188362Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9188445Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9188604Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9188733Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9188899Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9188968Z return output * self.weight 2025-09-07T07:54:23.9188971Z 2025-09-07T07:54:23.9189053Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9189151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9189338Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9189445Z logits = model(x, input_pos) 2025-09-07T07:54:23.9189606Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9189691Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9189849Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9189977Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9190144Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9190214Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9190402Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9190468Z x_out2 = torch.stack( 2025-09-07T07:54:23.9190471Z 2025-09-07T07:54:23.9190576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9190791Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9190862Z logits = model(x, input_pos) 2025-09-07T07:54:23.9191030Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9191104Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9191269Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9191397Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9191555Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9191636Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9191815Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9191889Z x_out2 = torch.stack( 2025-09-07T07:54:23.9191892Z 2025-09-07T07:54:23.9191975Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9192053Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9192156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9192338Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9192414Z logits = model(x, input_pos) 2025-09-07T07:54:23.9192567Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9192640Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9192800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9192928Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9193092Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9193219Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9193225Z 2025-09-07T07:54:23.9193329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9193511Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9193578Z logits = model(x, input_pos) 2025-09-07T07:54:23.9193739Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9193810Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9193970Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9194093Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9194249Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9194383Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9194386Z 2025-09-07T07:54:23.9194458Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9194592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9194771Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9194836Z logits = model(x, input_pos) 2025-09-07T07:54:23.9194998Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9195071Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9195232Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9195315Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9195477Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9195543Z return output * self.weight 2025-09-07T07:54:23.9195546Z 2025-09-07T07:54:23.9195620Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9195701Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9195833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9196023Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9196091Z logits = model(x, input_pos) 2025-09-07T07:54:23.9196246Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9196329Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9196482Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9196573Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9196730Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9196817Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9196820Z 2025-09-07T07:54:23.9196902Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9196975Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9197077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9197265Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9197331Z logits = model(x, input_pos) 2025-09-07T07:54:23.9197497Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9197572Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9197734Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9197863Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9198018Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9198094Z return output * self.weight 2025-09-07T07:54:23.9198096Z 2025-09-07T07:54:23.9198168Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9198271Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9198457Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9198530Z logits = model(x, input_pos) 2025-09-07T07:54:23.9198686Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9198760Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9198924Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9199051Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9199211Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9199280Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9199456Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9199530Z x_out2 = torch.stack( 2025-09-07T07:54:23.9199532Z 2025-09-07T07:54:23.9199627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9199858Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9199923Z logits = model(x, input_pos) 2025-09-07T07:54:23.9200078Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9200157Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9200310Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9200442Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9200597Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9200666Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9200852Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9200917Z x_out2 = torch.stack( 2025-09-07T07:54:23.9200923Z 2025-09-07T07:54:23.9201034Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9201108Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9201203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9201393Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9201459Z logits = model(x, input_pos) 2025-09-07T07:54:23.9201620Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9201693Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9201859Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9201984Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9202140Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9202279Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9202287Z 2025-09-07T07:54:23.9202384Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9202574Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9202641Z logits = model(x, input_pos) 2025-09-07T07:54:23.9202795Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9202877Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9203033Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9203165Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9203320Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9203446Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9203458Z 2025-09-07T07:54:23.9203538Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9203611Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9203713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9203892Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9203967Z logits = model(x, input_pos) 2025-09-07T07:54:23.9204122Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9204197Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9204359Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9204441Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9204607Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9204675Z return output * self.weight 2025-09-07T07:54:23.9204677Z 2025-09-07T07:54:23.9204750Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9204868Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9204963Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9205150Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9205215Z logits = model(x, input_pos) 2025-09-07T07:54:23.9205370Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9205451Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9205606Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9205697Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9205855Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9205940Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9205943Z 2025-09-07T07:54:23.9206025Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9206130Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9206233Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9206412Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9206477Z logits = model(x, input_pos) 2025-09-07T07:54:23.9206640Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9206714Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9206874Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9206999Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9207153Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9207229Z return output * self.weight 2025-09-07T07:54:23.9207231Z 2025-09-07T07:54:23.9207307Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9207414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9207596Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9207674Z logits = model(x, input_pos) 2025-09-07T07:54:23.9207830Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9207905Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9208071Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9208198Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9208361Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 226, in forward 2025-09-07T07:54:23.9208434Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:54:23.9208610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9208690Z x_out2 = torch.stack( 2025-09-07T07:54:23.9208693Z 2025-09-07T07:54:23.9208788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9208978Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9209043Z logits = model(x, input_pos) 2025-09-07T07:54:23.9209196Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9209278Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9209432Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9209564Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9209720Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 227, in forward 2025-09-07T07:54:23.9209790Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:54:23.9209980Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 283, in apply_rotary_emb 2025-09-07T07:54:23.9210074Z x_out2 = torch.stack( 2025-09-07T07:54:23.9210077Z 2025-09-07T07:54:23.9210156Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9210227Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9210328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9210508Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9210576Z logits = model(x, input_pos) 2025-09-07T07:54:23.9210740Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9210813Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9210975Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9211101Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9211285Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9211428Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9211430Z 2025-09-07T07:54:23.9211525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9211712Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9211778Z logits = model(x, input_pos) 2025-09-07T07:54:23.9211933Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9212015Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9212169Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 181, in forward 2025-09-07T07:54:23.9212300Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:54:23.9212455Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 236, in forward 2025-09-07T07:54:23.9212587Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:54:23.9212598Z 2025-09-07T07:54:23.9212672Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9212767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9212954Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9213020Z logits = model(x, input_pos) 2025-09-07T07:54:23.9213181Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9213255Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9213410Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9213499Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9213652Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9213727Z return output * self.weight 2025-09-07T07:54:23.9213732Z 2025-09-07T07:54:23.9213807Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9213880Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9213980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9214163Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9214234Z logits = model(x, input_pos) 2025-09-07T07:54:23.9214386Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 160, in forward 2025-09-07T07:54:23.9214458Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:54:23.9214619Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 182, in forward 2025-09-07T07:54:23.9214702Z out = h + self.feed_forward(self.ffn_norm(h)) 2025-09-07T07:54:23.9214861Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 252, in forward 2025-09-07T07:54:23.9214945Z return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-09-07T07:54:23.9214978Z 2025-09-07T07:54:23.9215052Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9215131Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9215226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9215413Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:54:23.9215481Z logits = model(x, input_pos) 2025-09-07T07:54:23.9215634Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 161, in forward 2025-09-07T07:54:23.9215704Z x = self.norm(x) 2025-09-07T07:54:23.9215856Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/model.py", line 266, in forward 2025-09-07T07:54:23.9215932Z return output * self.weight 2025-09-07T07:54:23.9215935Z 2025-09-07T07:54:23.9216007Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9216109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9216338Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:54:23.9216419Z return sample(logits, **sampling_kwargs) 2025-09-07T07:54:23.9216589Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 77, in sample 2025-09-07T07:54:23.9216711Z probs = logits_to_probs(logits[0, -1], temperature, top_k) 2025-09-07T07:54:23.9216901Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 66, in logits_to_probs 2025-09-07T07:54:23.9216982Z logits = logits / max(temperature, 1e-5) 2025-09-07T07:54:23.9216985Z 2025-09-07T07:54:23.9217057Z cudagraph partition due to non gpu ops 2025-09-07T07:54:23.9217162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9217343Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:54:23.9217427Z return sample(logits, **sampling_kwargs) 2025-09-07T07:54:23.9217589Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 77, in sample 2025-09-07T07:54:23.9217707Z probs = logits_to_probs(logits[0, -1], temperature, top_k) 2025-09-07T07:54:23.9217900Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 69, in logits_to_probs 2025-09-07T07:54:23.9218003Z v, _ = torch.topk(logits, min(top_k, logits.size(-1))) 2025-09-07T07:54:23.9218006Z 2025-09-07T07:54:23.9218110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9218293Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:54:23.9218376Z return sample(logits, **sampling_kwargs) 2025-09-07T07:54:23.9218542Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 77, in sample 2025-09-07T07:54:23.9218646Z probs = logits_to_probs(logits[0, -1], temperature, top_k) 2025-09-07T07:54:23.9218836Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 72, in logits_to_probs 2025-09-07T07:54:23.9218945Z probs = torch.nn.functional.softmax(logits, dim=-1) 2025-09-07T07:54:23.9218952Z 2025-09-07T07:54:23.9219058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:54:23.9219242Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:54:23.9219319Z return sample(logits, **sampling_kwargs) 2025-09-07T07:54:23.9219493Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 78, in sample 2025-09-07T07:54:23.9219590Z idx_next = multinomial_sample_one_no_sync(probs) 2025-09-07T07:54:23.9219824Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 62, in multinomial_sample_one_no_sync 2025-09-07T07:54:23.9219969Z return torch.argmax(probs_sort / q, dim=-1, keepdim=True).to(dtype=torch.int) 2025-09-07T07:54:23.9219972Z 2025-09-07T07:54:36.8292617Z Compilation time: 50.81 seconds 2025-09-07T07:55:15.1999161Z Average tokens/sec: 26.06 tokens/sec 2025-09-07T07:55:15.2001523Z Average bandwidth achieved: 172.28 GB/s 2025-09-07T07:55:15.2002302Z Memory used: 0.00 GB 2025-09-07T07:55:15.2023219Z Loading model Mixtral-8x7B-v0.1 2025-09-07T07:55:15.2119760Z Using int8 weight-only quantization! 2025-09-07T07:56:36.9812388Z Time to load model: 81.78 seconds 2025-09-07T07:57:10.6792489Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6792786Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6793037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6793414Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6793749Z logits = model(x, input_pos) 2025-09-07T07:57:10.6794062Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6794407Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6794735Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6795545Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6795970Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6796287Z return output * self.weight 2025-09-07T07:57:10.6796415Z 2025-09-07T07:57:10.6796492Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6796819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6797164Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6797466Z logits = model(x, input_pos) 2025-09-07T07:57:10.6797774Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6798094Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6798412Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6798783Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6799169Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.6799490Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.6799831Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6800167Z x_out2 = torch.stack( 2025-09-07T07:57:10.6800275Z 2025-09-07T07:57:10.6800376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6800729Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6801041Z logits = model(x, input_pos) 2025-09-07T07:57:10.6801339Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6801665Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6801968Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6802345Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6802721Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.6803029Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.6803372Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6803697Z x_out2 = torch.stack( 2025-09-07T07:57:10.6803804Z 2025-09-07T07:57:10.6803880Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6804078Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6804304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6804632Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6804939Z logits = model(x, input_pos) 2025-09-07T07:57:10.6805243Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6805744Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6806056Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6806425Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6806796Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6807171Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6807358Z 2025-09-07T07:57:10.6807466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6807795Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6808108Z logits = model(x, input_pos) 2025-09-07T07:57:10.6808409Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6808778Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6809102Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6809455Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6809817Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6810186Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6810367Z 2025-09-07T07:57:10.6810449Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6810650Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6810866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6811200Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6811502Z logits = model(x, input_pos) 2025-09-07T07:57:10.6811805Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6812121Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6812443Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6812766Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6813089Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6813403Z return output * self.weight 2025-09-07T07:57:10.6813519Z 2025-09-07T07:57:10.6813616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6813946Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6814249Z logits = model(x, input_pos) 2025-09-07T07:57:10.6814549Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6814862Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6815173Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6815492Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6815818Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.6816134Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.6816254Z 2025-09-07T07:57:10.6816350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6816678Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6816983Z logits = model(x, input_pos) 2025-09-07T07:57:10.6817286Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6817595Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6817911Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6818301Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6818624Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6818951Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6819086Z 2025-09-07T07:57:10.6819184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6819522Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6819830Z logits = model(x, input_pos) 2025-09-07T07:57:10.6820129Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6820448Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6820754Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6821118Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6821444Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6821774Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6821905Z 2025-09-07T07:57:10.6821979Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6822205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6822552Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6822854Z logits = model(x, input_pos) 2025-09-07T07:57:10.6823159Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6823468Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6823784Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6824113Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6824439Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.6824764Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.6824914Z 2025-09-07T07:57:10.6825010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6825344Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6825650Z logits = model(x, input_pos) 2025-09-07T07:57:10.6825950Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6826255Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6826567Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6826890Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6827210Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.6827551Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.6827695Z 2025-09-07T07:57:10.6827790Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6828116Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6828418Z logits = model(x, input_pos) 2025-09-07T07:57:10.6828713Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6829034Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6829354Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6829673Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6829992Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.6830361Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.6830590Z 2025-09-07T07:57:10.6830686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6831018Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6831321Z logits = model(x, input_pos) 2025-09-07T07:57:10.6831619Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6831925Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6832236Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6832557Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6832883Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.6833216Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.6833586Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.6833926Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.6834089Z 2025-09-07T07:57:10.6834192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6834526Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6834825Z logits = model(x, input_pos) 2025-09-07T07:57:10.6835132Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6835445Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6835759Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6836091Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6836406Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.6836739Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.6837076Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.6837403Z expert_outs = torch.einsum( 2025-09-07T07:57:10.6837515Z 2025-09-07T07:57:10.6837623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6837947Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6838255Z logits = model(x, input_pos) 2025-09-07T07:57:10.6838556Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6838869Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6839174Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6839541Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6839919Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6840229Z return output * self.weight 2025-09-07T07:57:10.6840343Z 2025-09-07T07:57:10.6840434Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6840651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6840985Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6841290Z logits = model(x, input_pos) 2025-09-07T07:57:10.6841601Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6841923Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6842243Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6842616Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6843001Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.6844266Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.6844604Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6844959Z x_out2 = torch.stack( 2025-09-07T07:57:10.6845070Z 2025-09-07T07:57:10.6845167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6845505Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6845807Z logits = model(x, input_pos) 2025-09-07T07:57:10.6846120Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6846437Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6846756Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6847166Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6847534Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.6847844Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.6848177Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6848515Z x_out2 = torch.stack( 2025-09-07T07:57:10.6848619Z 2025-09-07T07:57:10.6848703Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6848898Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6849122Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6849451Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6849760Z logits = model(x, input_pos) 2025-09-07T07:57:10.6850051Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6850369Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6850687Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6851052Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6851418Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6851781Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6851977Z 2025-09-07T07:57:10.6852073Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6852406Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6852711Z logits = model(x, input_pos) 2025-09-07T07:57:10.6852999Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6853315Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6853631Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6853997Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6854362Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6854722Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6854909Z 2025-09-07T07:57:10.6854983Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6855206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6855539Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6855836Z logits = model(x, input_pos) 2025-09-07T07:57:10.6856132Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6856444Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6856802Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6857131Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6857448Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6857760Z return output * self.weight 2025-09-07T07:57:10.6857881Z 2025-09-07T07:57:10.6857978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6858309Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6858617Z logits = model(x, input_pos) 2025-09-07T07:57:10.6858907Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6859228Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6859546Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6859910Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6860225Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.6860535Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.6860665Z 2025-09-07T07:57:10.6860760Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6861093Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6861398Z logits = model(x, input_pos) 2025-09-07T07:57:10.6861689Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6862010Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6862321Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6862644Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6862963Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6863287Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6863426Z 2025-09-07T07:57:10.6863520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6863852Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6864156Z logits = model(x, input_pos) 2025-09-07T07:57:10.6864447Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6864762Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6865071Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6865394Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6865707Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6866034Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6866178Z 2025-09-07T07:57:10.6866252Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6866478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6866814Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6867113Z logits = model(x, input_pos) 2025-09-07T07:57:10.6867407Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6867719Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6868031Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6868346Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6868665Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.6869049Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.6869187Z 2025-09-07T07:57:10.6869291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6869620Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6869917Z logits = model(x, input_pos) 2025-09-07T07:57:10.6870217Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6870537Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6870845Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6871162Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6871486Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.6871812Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.6871953Z 2025-09-07T07:57:10.6872097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6872427Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6872722Z logits = model(x, input_pos) 2025-09-07T07:57:10.6873017Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6873331Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6873645Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6873967Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6874282Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.6874653Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.6874840Z 2025-09-07T07:57:10.6874935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6875273Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6875573Z logits = model(x, input_pos) 2025-09-07T07:57:10.6875871Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6876189Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6876500Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6876824Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6877136Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.6877465Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.6877798Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.6878132Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.6878262Z 2025-09-07T07:57:10.6878361Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6878693Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6878999Z logits = model(x, input_pos) 2025-09-07T07:57:10.6879466Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6879788Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6880097Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6880422Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6880749Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.6881082Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.6881410Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.6881815Z expert_outs = torch.einsum( 2025-09-07T07:57:10.6881939Z 2025-09-07T07:57:10.6882035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6882376Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6882682Z logits = model(x, input_pos) 2025-09-07T07:57:10.6882976Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6883296Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6883608Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6883977Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6884345Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6884648Z return output * self.weight 2025-09-07T07:57:10.6884772Z 2025-09-07T07:57:10.6884919Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6885151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6885480Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6885781Z logits = model(x, input_pos) 2025-09-07T07:57:10.6886077Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6886390Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6886701Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6887066Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6887424Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.6887731Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.6888077Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6888409Z x_out2 = torch.stack( 2025-09-07T07:57:10.6888514Z 2025-09-07T07:57:10.6888611Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6888946Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6889255Z logits = model(x, input_pos) 2025-09-07T07:57:10.6889554Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6889868Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6890172Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6890551Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6890921Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.6891239Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.6891566Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6891897Z x_out2 = torch.stack( 2025-09-07T07:57:10.6892006Z 2025-09-07T07:57:10.6892080Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6892284Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6892505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6892831Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6893136Z logits = model(x, input_pos) 2025-09-07T07:57:10.6893435Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6893745Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6894048Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6894461Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6894831Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6895208Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6895393Z 2025-09-07T07:57:10.6895501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6895826Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6896132Z logits = model(x, input_pos) 2025-09-07T07:57:10.6896434Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6896752Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6897065Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6897473Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6897838Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6898204Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6898387Z 2025-09-07T07:57:10.6898468Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6898660Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6898882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6899211Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6899511Z logits = model(x, input_pos) 2025-09-07T07:57:10.6899809Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6900118Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6900432Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6900764Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6901085Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6901384Z return output * self.weight 2025-09-07T07:57:10.6901507Z 2025-09-07T07:57:10.6901604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6901936Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6902242Z logits = model(x, input_pos) 2025-09-07T07:57:10.6902538Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6902845Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6903159Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6903481Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6903812Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.6904116Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.6904248Z 2025-09-07T07:57:10.6904343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6904674Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6904982Z logits = model(x, input_pos) 2025-09-07T07:57:10.6905278Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6905587Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6905898Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6906222Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6906544Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6906902Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6907044Z 2025-09-07T07:57:10.6907140Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6907477Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6907795Z logits = model(x, input_pos) 2025-09-07T07:57:10.6908101Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6908419Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6908742Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6909076Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6909406Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6909724Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6909867Z 2025-09-07T07:57:10.6909980Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6910207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6910536Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6910840Z logits = model(x, input_pos) 2025-09-07T07:57:10.6911127Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6911443Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6911752Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6912073Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6912384Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.6912710Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.6912856Z 2025-09-07T07:57:10.6912954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6913282Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6913584Z logits = model(x, input_pos) 2025-09-07T07:57:10.6913874Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6914188Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6914498Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6914819Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6915140Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.6915458Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.6915603Z 2025-09-07T07:57:10.6915700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6916035Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6916340Z logits = model(x, input_pos) 2025-09-07T07:57:10.6916625Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6916944Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6917254Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6917582Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6917903Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.6918258Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.6918442Z 2025-09-07T07:57:10.6918540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6918874Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6919219Z logits = model(x, input_pos) 2025-09-07T07:57:10.6919509Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6919826Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6920138Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6920462Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6920783Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.6921101Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.6921438Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.6921766Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.6921896Z 2025-09-07T07:57:10.6922002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6922368Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6922670Z logits = model(x, input_pos) 2025-09-07T07:57:10.6922971Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6923285Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6923602Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6923926Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6924260Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.6924592Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.6924934Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.6925256Z expert_outs = torch.einsum( 2025-09-07T07:57:10.6925376Z 2025-09-07T07:57:10.6925476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6925808Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6926122Z logits = model(x, input_pos) 2025-09-07T07:57:10.6926423Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6926738Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6927059Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6927432Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6927804Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6928111Z return output * self.weight 2025-09-07T07:57:10.6928225Z 2025-09-07T07:57:10.6928302Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6928533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6928869Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6929180Z logits = model(x, input_pos) 2025-09-07T07:57:10.6929474Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6929794Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6930112Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6930480Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6930850Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.6931159Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.6931502Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6931871Z x_out2 = torch.stack( 2025-09-07T07:57:10.6931975Z 2025-09-07T07:57:10.6932080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6932405Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6932710Z logits = model(x, input_pos) 2025-09-07T07:57:10.6933008Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6933325Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6933637Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6933995Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6934359Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.6934668Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.6935049Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6935383Z x_out2 = torch.stack( 2025-09-07T07:57:10.6935487Z 2025-09-07T07:57:10.6935561Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6935766Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6935985Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6936322Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6936622Z logits = model(x, input_pos) 2025-09-07T07:57:10.6936918Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6937233Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6937543Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6937900Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6938268Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6938637Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6938822Z 2025-09-07T07:57:10.6939236Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6939571Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6939868Z logits = model(x, input_pos) 2025-09-07T07:57:10.6940163Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6940481Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6940798Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6941160Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6941523Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6941888Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6942080Z 2025-09-07T07:57:10.6942155Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6942380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6942711Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6943008Z logits = model(x, input_pos) 2025-09-07T07:57:10.6943306Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6943621Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6943933Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6944252Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6944615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6944924Z return output * self.weight 2025-09-07T07:57:10.6945038Z 2025-09-07T07:57:10.6945143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6945474Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6945773Z logits = model(x, input_pos) 2025-09-07T07:57:10.6946071Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6946385Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6946703Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6947024Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6947359Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.6947704Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.6947826Z 2025-09-07T07:57:10.6947930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6948263Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6948561Z logits = model(x, input_pos) 2025-09-07T07:57:10.6948856Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6949170Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6949484Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6949801Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6950122Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6950446Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6950579Z 2025-09-07T07:57:10.6950689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6951020Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6951315Z logits = model(x, input_pos) 2025-09-07T07:57:10.6951614Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6951928Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6952237Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6952553Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6952872Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6953194Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6953326Z 2025-09-07T07:57:10.6953409Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6953632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6953961Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6954263Z logits = model(x, input_pos) 2025-09-07T07:57:10.6954557Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6954871Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6955168Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6955491Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6955808Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.6956135Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.6956271Z 2025-09-07T07:57:10.6956371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6956694Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6957031Z logits = model(x, input_pos) 2025-09-07T07:57:10.6957336Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6957655Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6957972Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6958293Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6958624Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.6958960Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.6959097Z 2025-09-07T07:57:10.6959205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6959535Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6959847Z logits = model(x, input_pos) 2025-09-07T07:57:10.6960184Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6960505Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6960821Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6961142Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6961463Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.6961830Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.6962006Z 2025-09-07T07:57:10.6962110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6962436Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6962746Z logits = model(x, input_pos) 2025-09-07T07:57:10.6963045Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6963363Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6963674Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6963990Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6964318Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.6964648Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.6964985Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.6965316Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.6965446Z 2025-09-07T07:57:10.6965543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6965876Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6966187Z logits = model(x, input_pos) 2025-09-07T07:57:10.6966486Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6966794Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6967106Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6967427Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6967750Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.6968083Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.6968409Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.6968726Z expert_outs = torch.einsum( 2025-09-07T07:57:10.6968838Z 2025-09-07T07:57:10.6968942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6969276Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6969608Z logits = model(x, input_pos) 2025-09-07T07:57:10.6969907Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6970220Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6970528Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6970894Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6971256Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6971563Z return output * self.weight 2025-09-07T07:57:10.6971681Z 2025-09-07T07:57:10.6971757Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6971978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6972300Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6972642Z logits = model(x, input_pos) 2025-09-07T07:57:10.6972942Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6973260Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6973571Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6973929Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6974295Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.6974620Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.6974960Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6975284Z x_out2 = torch.stack( 2025-09-07T07:57:10.6975398Z 2025-09-07T07:57:10.6975498Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6975839Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6976147Z logits = model(x, input_pos) 2025-09-07T07:57:10.6976447Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6976756Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6977070Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6977435Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6977800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.6978110Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.6978437Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.6978767Z x_out2 = torch.stack( 2025-09-07T07:57:10.6978873Z 2025-09-07T07:57:10.6978958Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6979211Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6979431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6979773Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6980083Z logits = model(x, input_pos) 2025-09-07T07:57:10.6980392Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6980707Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6981027Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6981407Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6981781Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6982233Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6982417Z 2025-09-07T07:57:10.6982517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6982849Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6983158Z logits = model(x, input_pos) 2025-09-07T07:57:10.6983458Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6983777Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6984081Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.6984445Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.6984810Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.6985222Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.6985410Z 2025-09-07T07:57:10.6985490Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6985683Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6985907Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6986241Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6986547Z logits = model(x, input_pos) 2025-09-07T07:57:10.6986838Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6987155Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6987470Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6987796Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6988109Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.6988424Z return output * self.weight 2025-09-07T07:57:10.6988549Z 2025-09-07T07:57:10.6988646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6988978Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6989286Z logits = model(x, input_pos) 2025-09-07T07:57:10.6989578Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6989895Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6990208Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6990533Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6990846Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.6991155Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.6991281Z 2025-09-07T07:57:10.6991386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6991721Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6992026Z logits = model(x, input_pos) 2025-09-07T07:57:10.6992317Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6992634Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6992946Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6993274Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6993590Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6993914Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6994056Z 2025-09-07T07:57:10.6994154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6994528Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6994835Z logits = model(x, input_pos) 2025-09-07T07:57:10.6995126Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6995440Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6995751Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6996070Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6996394Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.6996707Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.6996847Z 2025-09-07T07:57:10.6996922Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.6997145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.6997512Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.6997809Z logits = model(x, input_pos) 2025-09-07T07:57:10.6998102Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.6998413Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.6998724Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.6999046Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.6999356Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.6999680Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.6999827Z 2025-09-07T07:57:10.6999924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7000255Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7000548Z logits = model(x, input_pos) 2025-09-07T07:57:10.7000853Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7001168Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7001481Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7001803Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7002119Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7002444Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7002589Z 2025-09-07T07:57:10.7002686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7003017Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7003314Z logits = model(x, input_pos) 2025-09-07T07:57:10.7003610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7003929Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7004253Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7004578Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7004891Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7005261Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7005445Z 2025-09-07T07:57:10.7005541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7005872Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7006173Z logits = model(x, input_pos) 2025-09-07T07:57:10.7006464Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7006814Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7007135Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7007461Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7007778Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7008110Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7008449Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7008785Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7008915Z 2025-09-07T07:57:10.7009021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7009342Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7009647Z logits = model(x, input_pos) 2025-09-07T07:57:10.7009978Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7010297Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7010597Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7010922Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7011244Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7011567Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7011902Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7012207Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7012326Z 2025-09-07T07:57:10.7012422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7012750Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7013056Z logits = model(x, input_pos) 2025-09-07T07:57:10.7013346Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7013663Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7013978Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7014343Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7014708Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7015012Z return output * self.weight 2025-09-07T07:57:10.7015133Z 2025-09-07T07:57:10.7015210Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7015433Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7015767Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7016066Z logits = model(x, input_pos) 2025-09-07T07:57:10.7016367Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7016680Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7016989Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7017354Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7017711Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7018020Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7018355Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7018695Z x_out2 = torch.stack( 2025-09-07T07:57:10.7018799Z 2025-09-07T07:57:10.7018906Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7019237Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7019575Z logits = model(x, input_pos) 2025-09-07T07:57:10.7019873Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7020185Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7020490Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7020859Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7021223Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7021534Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7021871Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7022198Z x_out2 = torch.stack( 2025-09-07T07:57:10.7022310Z 2025-09-07T07:57:10.7022386Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7022619Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7022846Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7023170Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7023476Z logits = model(x, input_pos) 2025-09-07T07:57:10.7023770Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7024087Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7024401Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7024757Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7025121Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7025494Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7025681Z 2025-09-07T07:57:10.7025788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7026113Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7026421Z logits = model(x, input_pos) 2025-09-07T07:57:10.7026720Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7027036Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7027347Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7027705Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7028073Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7028440Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7028623Z 2025-09-07T07:57:10.7028719Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7028947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7029272Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7029579Z logits = model(x, input_pos) 2025-09-07T07:57:10.7029877Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7030190Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7054573Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7054948Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7055291Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7055611Z return output * self.weight 2025-09-07T07:57:10.7055735Z 2025-09-07T07:57:10.7055849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7056653Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7056982Z logits = model(x, input_pos) 2025-09-07T07:57:10.7057306Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7057639Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7057952Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7058288Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7058626Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7058946Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7059069Z 2025-09-07T07:57:10.7059177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7059509Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7059881Z logits = model(x, input_pos) 2025-09-07T07:57:10.7060188Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7060519Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7060839Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7061178Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7061510Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7061847Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7061985Z 2025-09-07T07:57:10.7062092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7062421Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7062742Z logits = model(x, input_pos) 2025-09-07T07:57:10.7063058Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7063386Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7063698Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7064030Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7064357Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7064688Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7064824Z 2025-09-07T07:57:10.7064908Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7065130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7065471Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7065787Z logits = model(x, input_pos) 2025-09-07T07:57:10.7066096Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7066425Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7066738Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7067070Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7067400Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7067744Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7067888Z 2025-09-07T07:57:10.7067986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7068327Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7068643Z logits = model(x, input_pos) 2025-09-07T07:57:10.7068951Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7069308Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7069615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7069939Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7070264Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7070596Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7070737Z 2025-09-07T07:57:10.7070833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7071168Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7071481Z logits = model(x, input_pos) 2025-09-07T07:57:10.7071781Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7072100Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7072441Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7072772Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7073098Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7073474Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7073652Z 2025-09-07T07:57:10.7073749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7074085Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7074392Z logits = model(x, input_pos) 2025-09-07T07:57:10.7074691Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7075009Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7075315Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7075649Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7075980Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7076309Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7076650Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7076980Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7077122Z 2025-09-07T07:57:10.7077218Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7077551Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7077860Z logits = model(x, input_pos) 2025-09-07T07:57:10.7078151Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7078467Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7078786Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7079165Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7079490Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7079813Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7080155Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7080481Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7080597Z 2025-09-07T07:57:10.7080704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7081036Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7081350Z logits = model(x, input_pos) 2025-09-07T07:57:10.7081655Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7082048Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7082358Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7082729Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7083105Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7083421Z return output * self.weight 2025-09-07T07:57:10.7083537Z 2025-09-07T07:57:10.7083630Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7083855Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7084191Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7084503Z logits = model(x, input_pos) 2025-09-07T07:57:10.7084807Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7085177Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7085491Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7085868Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7086251Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7086569Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7086909Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7087250Z x_out2 = torch.stack( 2025-09-07T07:57:10.7087369Z 2025-09-07T07:57:10.7087472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7087822Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7088140Z logits = model(x, input_pos) 2025-09-07T07:57:10.7088443Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7088771Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7089097Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7089477Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7089857Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7090169Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7090514Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7090855Z x_out2 = torch.stack( 2025-09-07T07:57:10.7090959Z 2025-09-07T07:57:10.7091047Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7091250Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7091478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7091824Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7092139Z logits = model(x, input_pos) 2025-09-07T07:57:10.7092436Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7092762Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7093083Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7093455Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7093832Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7094204Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7094401Z 2025-09-07T07:57:10.7094501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7094847Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7095188Z logits = model(x, input_pos) 2025-09-07T07:57:10.7095484Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7095793Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7096112Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7096474Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7096839Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7097197Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7097386Z 2025-09-07T07:57:10.7097462Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7097664Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7097888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7098267Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7098568Z logits = model(x, input_pos) 2025-09-07T07:57:10.7098865Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7099182Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7099493Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7099811Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7100139Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7100450Z return output * self.weight 2025-09-07T07:57:10.7100565Z 2025-09-07T07:57:10.7100670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7101007Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7101311Z logits = model(x, input_pos) 2025-09-07T07:57:10.7101613Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7101930Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7102246Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7102566Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7102889Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7103201Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7103328Z 2025-09-07T07:57:10.7103430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7103762Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7104070Z logits = model(x, input_pos) 2025-09-07T07:57:10.7104366Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7104688Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7105002Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7105333Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7105650Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7105976Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7106115Z 2025-09-07T07:57:10.7106211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7106540Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7106849Z logits = model(x, input_pos) 2025-09-07T07:57:10.7107138Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7107494Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7107808Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7108133Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7108450Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7108777Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7108920Z 2025-09-07T07:57:10.7108997Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7109222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7109557Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7109859Z logits = model(x, input_pos) 2025-09-07T07:57:10.7110163Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7110518Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7110828Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7111145Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7111464Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7111787Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7111924Z 2025-09-07T07:57:10.7112031Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7112357Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7112652Z logits = model(x, input_pos) 2025-09-07T07:57:10.7112943Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7113256Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7113566Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7113883Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7114205Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7114530Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7114667Z 2025-09-07T07:57:10.7114769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7115101Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7115398Z logits = model(x, input_pos) 2025-09-07T07:57:10.7115696Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7116011Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7116319Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7116638Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7116957Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7117320Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7117499Z 2025-09-07T07:57:10.7117603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7117932Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7118230Z logits = model(x, input_pos) 2025-09-07T07:57:10.7118528Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7118846Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7119156Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7119478Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7119824Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7120151Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7120485Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7120815Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7120942Z 2025-09-07T07:57:10.7121039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7121370Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7121671Z logits = model(x, input_pos) 2025-09-07T07:57:10.7121966Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7122283Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7122585Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7122948Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7123268Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7123595Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7123921Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7124238Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7124359Z 2025-09-07T07:57:10.7124455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7124786Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7125089Z logits = model(x, input_pos) 2025-09-07T07:57:10.7125374Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7125691Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7126005Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7126369Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7126738Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7127040Z return output * self.weight 2025-09-07T07:57:10.7127160Z 2025-09-07T07:57:10.7127239Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7127464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7127793Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7128089Z logits = model(x, input_pos) 2025-09-07T07:57:10.7128384Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7128698Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7129007Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7129375Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7129739Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7130048Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7130381Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7130710Z x_out2 = torch.stack( 2025-09-07T07:57:10.7130815Z 2025-09-07T07:57:10.7130912Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7131244Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7131543Z logits = model(x, input_pos) 2025-09-07T07:57:10.7131839Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7132190Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7132492Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7132857Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7133224Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7133535Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7133863Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7134193Z x_out2 = torch.stack( 2025-09-07T07:57:10.7134305Z 2025-09-07T07:57:10.7134380Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7134580Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7134804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7135130Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7135466Z logits = model(x, input_pos) 2025-09-07T07:57:10.7135767Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7136085Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7136385Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7136752Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7137117Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7137487Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7137669Z 2025-09-07T07:57:10.7137774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7138099Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7138412Z logits = model(x, input_pos) 2025-09-07T07:57:10.7138605Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7138683Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7138862Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7138998Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7139180Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7139310Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7139313Z 2025-09-07T07:57:10.7139399Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7139497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7139685Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7139757Z logits = model(x, input_pos) 2025-09-07T07:57:10.7139938Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7140023Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7140205Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7140298Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7140476Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7140547Z return output * self.weight 2025-09-07T07:57:10.7140550Z 2025-09-07T07:57:10.7140654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7140829Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7140903Z logits = model(x, input_pos) 2025-09-07T07:57:10.7141087Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7141199Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7141389Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7141472Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7141659Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7141730Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7141733Z 2025-09-07T07:57:10.7141835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7142014Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7142081Z logits = model(x, input_pos) 2025-09-07T07:57:10.7142269Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7142347Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7142714Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7142800Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7142985Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7143078Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7143081Z 2025-09-07T07:57:10.7143177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7143369Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7143436Z logits = model(x, input_pos) 2025-09-07T07:57:10.7143618Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7143701Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7143886Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7143986Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7144171Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7144265Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7144268Z 2025-09-07T07:57:10.7144346Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7144445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7144641Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7144709Z logits = model(x, input_pos) 2025-09-07T07:57:10.7144902Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7144978Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7145160Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7145258Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7145440Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7145537Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7145540Z 2025-09-07T07:57:10.7145633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7145815Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7145891Z logits = model(x, input_pos) 2025-09-07T07:57:10.7146074Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7146160Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7146341Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7146433Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7146656Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7146746Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7146749Z 2025-09-07T07:57:10.7146859Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7147040Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7147106Z logits = model(x, input_pos) 2025-09-07T07:57:10.7147289Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7147363Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7147546Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7147628Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7147812Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7147976Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7147979Z 2025-09-07T07:57:10.7148074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7148262Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7148326Z logits = model(x, input_pos) 2025-09-07T07:57:10.7148511Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7148586Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7148765Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7148855Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7149032Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7149126Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7149324Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7149404Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7149416Z 2025-09-07T07:57:10.7149511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7149694Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7149767Z logits = model(x, input_pos) 2025-09-07T07:57:10.7149945Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7150024Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7150202Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7150287Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7150480Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7150570Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7150766Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7150837Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7150840Z 2025-09-07T07:57:10.7150934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7151120Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7151186Z logits = model(x, input_pos) 2025-09-07T07:57:10.7151369Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7151444Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7151618Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7151753Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7151965Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7152038Z return output * self.weight 2025-09-07T07:57:10.7152041Z 2025-09-07T07:57:10.7152117Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7152220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7152396Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7152463Z logits = model(x, input_pos) 2025-09-07T07:57:10.7152650Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7152724Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7152910Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7153037Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7153252Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7153330Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7153541Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7153612Z x_out2 = torch.stack( 2025-09-07T07:57:10.7153615Z 2025-09-07T07:57:10.7153709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7153889Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7153959Z logits = model(x, input_pos) 2025-09-07T07:57:10.7154139Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7154216Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7154395Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7154529Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7154710Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7154779Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7154993Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7155056Z x_out2 = torch.stack( 2025-09-07T07:57:10.7155059Z 2025-09-07T07:57:10.7155140Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7155211Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7155307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7155493Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7155558Z logits = model(x, input_pos) 2025-09-07T07:57:10.7155742Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7155818Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7155998Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7156127Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7156307Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7156442Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7156445Z 2025-09-07T07:57:10.7156538Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7156727Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7156794Z logits = model(x, input_pos) 2025-09-07T07:57:10.7156972Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7157089Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7157270Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7157402Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7157582Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7157711Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7157714Z 2025-09-07T07:57:10.7157795Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7157869Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7157975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7158154Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7158220Z logits = model(x, input_pos) 2025-09-07T07:57:10.7158445Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7158521Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7158708Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7158793Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7158975Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7159050Z return output * self.weight 2025-09-07T07:57:10.7159053Z 2025-09-07T07:57:10.7159148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7159337Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7159403Z logits = model(x, input_pos) 2025-09-07T07:57:10.7159588Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7159670Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7159852Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7159945Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7160125Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7160202Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7160205Z 2025-09-07T07:57:10.7160299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7160479Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7160553Z logits = model(x, input_pos) 2025-09-07T07:57:10.7160736Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7160816Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7161002Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7161088Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7161280Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7161362Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7161364Z 2025-09-07T07:57:10.7161466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7161647Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7161720Z logits = model(x, input_pos) 2025-09-07T07:57:10.7161904Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7161976Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7162164Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7162292Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7162478Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7162559Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7162562Z 2025-09-07T07:57:10.7162634Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7162739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7162917Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7162991Z logits = model(x, input_pos) 2025-09-07T07:57:10.7163172Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7163243Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7163429Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7163512Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7163732Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7163824Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7163827Z 2025-09-07T07:57:10.7163929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7164105Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7164170Z logits = model(x, input_pos) 2025-09-07T07:57:10.7164353Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7164426Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7164612Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7164694Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7164873Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7164969Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7164972Z 2025-09-07T07:57:10.7165066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7165251Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7165316Z logits = model(x, input_pos) 2025-09-07T07:57:10.7165495Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7165575Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7165754Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7165842Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7166022Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7166154Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7166162Z 2025-09-07T07:57:10.7166257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7166434Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7166507Z logits = model(x, input_pos) 2025-09-07T07:57:10.7166684Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7166761Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7166941Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7167021Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7167208Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7167296Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7167493Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7167604Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7167607Z 2025-09-07T07:57:10.7167703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7167889Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7167955Z logits = model(x, input_pos) 2025-09-07T07:57:10.7168141Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7168214Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7168398Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7168482Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7168661Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7168759Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7168983Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7169060Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7169063Z 2025-09-07T07:57:10.7169156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7169336Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7169413Z logits = model(x, input_pos) 2025-09-07T07:57:10.7169594Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7169675Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7169854Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7169979Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7170172Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7170242Z return output * self.weight 2025-09-07T07:57:10.7170245Z 2025-09-07T07:57:10.7170330Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7170427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7170614Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7170681Z logits = model(x, input_pos) 2025-09-07T07:57:10.7170858Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7170938Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7171118Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7171248Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7171431Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7171503Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7171715Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7171781Z x_out2 = torch.stack( 2025-09-07T07:57:10.7171784Z 2025-09-07T07:57:10.7171887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7172064Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7172129Z logits = model(x, input_pos) 2025-09-07T07:57:10.7172319Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7172391Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7172580Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7172704Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7172930Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7173002Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7173208Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7173280Z x_out2 = torch.stack( 2025-09-07T07:57:10.7173283Z 2025-09-07T07:57:10.7173356Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7173437Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7173533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7173712Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7173785Z logits = model(x, input_pos) 2025-09-07T07:57:10.7173965Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7174050Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7174274Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7174399Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7174583Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7174713Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7174716Z 2025-09-07T07:57:10.7174817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7174992Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7175066Z logits = model(x, input_pos) 2025-09-07T07:57:10.7175246Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7175319Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7175510Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7175633Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7175819Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7175947Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7175950Z 2025-09-07T07:57:10.7176023Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7176130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7176310Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7176383Z logits = model(x, input_pos) 2025-09-07T07:57:10.7176559Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7176636Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7176827Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7176911Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7177096Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7177164Z return output * self.weight 2025-09-07T07:57:10.7177167Z 2025-09-07T07:57:10.7177268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7177446Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7177512Z logits = model(x, input_pos) 2025-09-07T07:57:10.7177700Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7177773Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7177962Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7178079Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7178260Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7178336Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7178339Z 2025-09-07T07:57:10.7178433Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7178619Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7178684Z logits = model(x, input_pos) 2025-09-07T07:57:10.7178862Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7178942Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7179155Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7179248Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7179483Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7179565Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7179576Z 2025-09-07T07:57:10.7179673Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7179854Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7179928Z logits = model(x, input_pos) 2025-09-07T07:57:10.7180110Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7180190Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7180372Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7180456Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7180647Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7180733Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7180735Z 2025-09-07T07:57:10.7180819Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7180916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7181097Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7181171Z logits = model(x, input_pos) 2025-09-07T07:57:10.7181352Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7181431Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7181610Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7181696Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7181886Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7181982Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7181985Z 2025-09-07T07:57:10.7182089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7182270Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7182343Z logits = model(x, input_pos) 2025-09-07T07:57:10.7182524Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7182597Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7182784Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7182867Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7183055Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7183140Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7183143Z 2025-09-07T07:57:10.7183402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7183589Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7183656Z logits = model(x, input_pos) 2025-09-07T07:57:10.7183847Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7183921Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7184099Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7184194Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7184373Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7184509Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7184512Z 2025-09-07T07:57:10.7184607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7184834Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7184903Z logits = model(x, input_pos) 2025-09-07T07:57:10.7185084Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7185167Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7185346Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7185436Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7185614Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7185702Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7185899Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7185980Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7185985Z 2025-09-07T07:57:10.7186087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7186264Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7186330Z logits = model(x, input_pos) 2025-09-07T07:57:10.7186511Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7186586Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7186768Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7186851Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7187033Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7187117Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7187305Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7187385Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7187388Z 2025-09-07T07:57:10.7187483Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7187667Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7187733Z logits = model(x, input_pos) 2025-09-07T07:57:10.7187910Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7187992Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7188167Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7188300Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7188479Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7188546Z return output * self.weight 2025-09-07T07:57:10.7188588Z 2025-09-07T07:57:10.7188670Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7188764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7188949Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7189014Z logits = model(x, input_pos) 2025-09-07T07:57:10.7189200Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7189274Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7189453Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7189586Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7189764Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7189840Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7190073Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7190144Z x_out2 = torch.stack( 2025-09-07T07:57:10.7190147Z 2025-09-07T07:57:10.7190249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7190426Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7190496Z logits = model(x, input_pos) 2025-09-07T07:57:10.7190674Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7190746Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7190933Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7191056Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7191240Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7191318Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7191529Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7191594Z x_out2 = torch.stack( 2025-09-07T07:57:10.7191598Z 2025-09-07T07:57:10.7191673Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7191756Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7191850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7192033Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7192099Z logits = model(x, input_pos) 2025-09-07T07:57:10.7192279Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7192361Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7192539Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7192674Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7192853Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7192981Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7192984Z 2025-09-07T07:57:10.7193087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7193269Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7193340Z logits = model(x, input_pos) 2025-09-07T07:57:10.7193517Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7193599Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7193778Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7193904Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7194122Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7194254Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7194257Z 2025-09-07T07:57:10.7194340Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7194412Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7194507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7194694Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7194759Z logits = model(x, input_pos) 2025-09-07T07:57:10.7194944Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7195019Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7195199Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7195327Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7195506Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7195581Z return output * self.weight 2025-09-07T07:57:10.7195584Z 2025-09-07T07:57:10.7195680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7195863Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7195928Z logits = model(x, input_pos) 2025-09-07T07:57:10.7196105Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7196185Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7196362Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7196451Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7196635Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7196704Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7196707Z 2025-09-07T07:57:10.7196807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7196982Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7197055Z logits = model(x, input_pos) 2025-09-07T07:57:10.7197234Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7197307Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7197493Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7197575Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7197760Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7197847Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7197850Z 2025-09-07T07:57:10.7197943Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7198127Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7198194Z logits = model(x, input_pos) 2025-09-07T07:57:10.7198375Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7198449Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7198634Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7198717Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7198895Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7198982Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7199014Z 2025-09-07T07:57:10.7199092Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7199191Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7199368Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7199433Z logits = model(x, input_pos) 2025-09-07T07:57:10.7199616Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7199687Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7199870Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7199953Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7200129Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7200218Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7200221Z 2025-09-07T07:57:10.7200353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7200535Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7200599Z logits = model(x, input_pos) 2025-09-07T07:57:10.7200779Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7200851Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7201027Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7201116Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7201292Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7201379Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7201382Z 2025-09-07T07:57:10.7201474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7201654Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7201730Z logits = model(x, input_pos) 2025-09-07T07:57:10.7201907Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7201986Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7202160Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7202243Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7202425Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7202548Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7202551Z 2025-09-07T07:57:10.7202652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7202828Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7202905Z logits = model(x, input_pos) 2025-09-07T07:57:10.7203081Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7203154Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7203340Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7203421Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7203606Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7203692Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7203879Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7203962Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7203965Z 2025-09-07T07:57:10.7204059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7204278Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7204344Z logits = model(x, input_pos) 2025-09-07T07:57:10.7204523Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7204599Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7204780Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7204868Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7205048Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7205141Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7205331Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7205399Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7205404Z 2025-09-07T07:57:10.7205538Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7205718Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7205792Z logits = model(x, input_pos) 2025-09-07T07:57:10.7205972Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7206045Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7206231Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7206357Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7206542Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7206609Z return output * self.weight 2025-09-07T07:57:10.7206613Z 2025-09-07T07:57:10.7206688Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7206794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7206973Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7207047Z logits = model(x, input_pos) 2025-09-07T07:57:10.7207226Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7207304Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7207485Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7207611Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7207800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7207872Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7208087Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7208159Z x_out2 = torch.stack( 2025-09-07T07:57:10.7208162Z 2025-09-07T07:57:10.7208256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7208445Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7208511Z logits = model(x, input_pos) 2025-09-07T07:57:10.7208698Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7208768Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7208946Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7209078Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7209259Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7209338Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7209582Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7209645Z x_out2 = torch.stack( 2025-09-07T07:57:10.7209653Z 2025-09-07T07:57:10.7209727Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7209801Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7209902Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7210078Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7210149Z logits = model(x, input_pos) 2025-09-07T07:57:10.7210326Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7210397Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7210585Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7210709Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7210930Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7211060Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7211063Z 2025-09-07T07:57:10.7211157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7211341Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7211405Z logits = model(x, input_pos) 2025-09-07T07:57:10.7211592Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7211663Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7211839Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7211969Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7212153Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7212287Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7212290Z 2025-09-07T07:57:10.7212364Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7212467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7212644Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7212711Z logits = model(x, input_pos) 2025-09-07T07:57:10.7212896Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7212968Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7213153Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7213237Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7213420Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7213495Z return output * self.weight 2025-09-07T07:57:10.7213498Z 2025-09-07T07:57:10.7213593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7213777Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7213843Z logits = model(x, input_pos) 2025-09-07T07:57:10.7214021Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7214099Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7214277Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7214365Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7214543Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7214653Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7214659Z 2025-09-07T07:57:10.7214754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7214931Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7215007Z logits = model(x, input_pos) 2025-09-07T07:57:10.7215186Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7215267Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7215448Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7215531Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7215724Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7215805Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7215808Z 2025-09-07T07:57:10.7215941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7216126Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7216190Z logits = model(x, input_pos) 2025-09-07T07:57:10.7216372Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7216446Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7216633Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7216714Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7216905Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7216985Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7216988Z 2025-09-07T07:57:10.7217062Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7217163Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7217346Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7217422Z logits = model(x, input_pos) 2025-09-07T07:57:10.7217604Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7217679Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7217866Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7217949Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7218133Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7218217Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7218220Z 2025-09-07T07:57:10.7218311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7218496Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7218566Z logits = model(x, input_pos) 2025-09-07T07:57:10.7218756Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7218827Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7219016Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7219100Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7219277Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7219367Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7219370Z 2025-09-07T07:57:10.7219465Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7219652Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7219716Z logits = model(x, input_pos) 2025-09-07T07:57:10.7219928Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7220011Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7220191Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7220283Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7220461Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7220585Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7220596Z 2025-09-07T07:57:10.7220691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7220872Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7220948Z logits = model(x, input_pos) 2025-09-07T07:57:10.7221295Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7221382Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7221561Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7221643Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7221828Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7221916Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7222119Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7222198Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7222201Z 2025-09-07T07:57:10.7222297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7222483Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7222548Z logits = model(x, input_pos) 2025-09-07T07:57:10.7222744Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7222821Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7223001Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7223090Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7223269Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7223362Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7223553Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7223626Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7223629Z 2025-09-07T07:57:10.7223722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7223903Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7223980Z logits = model(x, input_pos) 2025-09-07T07:57:10.7224158Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7224238Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7224417Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7224542Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7224730Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7224797Z return output * self.weight 2025-09-07T07:57:10.7224800Z 2025-09-07T07:57:10.7224879Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7224971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7225150Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7225258Z logits = model(x, input_pos) 2025-09-07T07:57:10.7225441Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7225518Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7225701Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7225833Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7226014Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7226081Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7226297Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7226360Z x_out2 = torch.stack( 2025-09-07T07:57:10.7226363Z 2025-09-07T07:57:10.7226463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7226681Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7226748Z logits = model(x, input_pos) 2025-09-07T07:57:10.7226932Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7227004Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7227189Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7227313Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7227491Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7227568Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7227775Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7227844Z x_out2 = torch.stack( 2025-09-07T07:57:10.7227850Z 2025-09-07T07:57:10.7227925Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7227999Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7228103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7228282Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7228356Z logits = model(x, input_pos) 2025-09-07T07:57:10.7228535Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7228619Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7228796Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7228921Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7229108Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7229241Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7229245Z 2025-09-07T07:57:10.7229348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7229529Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7229596Z logits = model(x, input_pos) 2025-09-07T07:57:10.7229779Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7229854Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7230040Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7230160Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7230340Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7230477Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7230514Z 2025-09-07T07:57:10.7230589Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7230669Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7230763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7230946Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7231010Z logits = model(x, input_pos) 2025-09-07T07:57:10.7231192Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7231273Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7231451Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7231545Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7231724Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7231826Z return output * self.weight 2025-09-07T07:57:10.7231829Z 2025-09-07T07:57:10.7231931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7232110Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7232186Z logits = model(x, input_pos) 2025-09-07T07:57:10.7232367Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7232441Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7232625Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7232709Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7232897Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7232966Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7232969Z 2025-09-07T07:57:10.7233078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7233259Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7233326Z logits = model(x, input_pos) 2025-09-07T07:57:10.7233513Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7233588Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7233774Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7233857Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7234035Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7234126Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7234130Z 2025-09-07T07:57:10.7234221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7234413Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7234480Z logits = model(x, input_pos) 2025-09-07T07:57:10.7234657Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7234735Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7234911Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7235000Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7235177Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7235264Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7235267Z 2025-09-07T07:57:10.7235341Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7235434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7235619Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7235721Z logits = model(x, input_pos) 2025-09-07T07:57:10.7235908Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7235980Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7236160Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7236249Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7236430Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7236520Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7236523Z 2025-09-07T07:57:10.7236615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7236797Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7236868Z logits = model(x, input_pos) 2025-09-07T07:57:10.7237085Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7237167Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7237348Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7237436Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7237616Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7237699Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7237702Z 2025-09-07T07:57:10.7237801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7237979Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7238051Z logits = model(x, input_pos) 2025-09-07T07:57:10.7238230Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7238308Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7238495Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7238579Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7238766Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7238889Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7238892Z 2025-09-07T07:57:10.7238984Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7239167Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7239232Z logits = model(x, input_pos) 2025-09-07T07:57:10.7239417Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7239489Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7239683Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7239767Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7239948Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7240042Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7240232Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7240320Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7240322Z 2025-09-07T07:57:10.7240415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7240596Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7240672Z logits = model(x, input_pos) 2025-09-07T07:57:10.7240854Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7240976Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7241159Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7241244Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7241427Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7241513Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7241709Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7241777Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7241780Z 2025-09-07T07:57:10.7241879Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7242055Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7242120Z logits = model(x, input_pos) 2025-09-07T07:57:10.7242343Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7242418Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7242602Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7242730Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7242909Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7242980Z return output * self.weight 2025-09-07T07:57:10.7242983Z 2025-09-07T07:57:10.7243061Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7243162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7243343Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7243410Z logits = model(x, input_pos) 2025-09-07T07:57:10.7243601Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7243675Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7243861Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7243981Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7244168Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7244237Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7244444Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7244516Z x_out2 = torch.stack( 2025-09-07T07:57:10.7244519Z 2025-09-07T07:57:10.7244615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7244802Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7244874Z logits = model(x, input_pos) 2025-09-07T07:57:10.7245055Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7245136Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7245310Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7245439Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7245620Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7245690Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7245901Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7245966Z x_out2 = torch.stack( 2025-09-07T07:57:10.7245969Z 2025-09-07T07:57:10.7246047Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7246148Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7246244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7246426Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7246492Z logits = model(x, input_pos) 2025-09-07T07:57:10.7246680Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7246753Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7246934Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7247056Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7247237Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7247372Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7247377Z 2025-09-07T07:57:10.7247506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7247695Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7247762Z logits = model(x, input_pos) 2025-09-07T07:57:10.7247941Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7248020Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7248199Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7248323Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7248500Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7248627Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7248637Z 2025-09-07T07:57:10.7248714Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7248812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7248997Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7249064Z logits = model(x, input_pos) 2025-09-07T07:57:10.7249247Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7249320Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7249497Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7249590Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7249767Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7249840Z return output * self.weight 2025-09-07T07:57:10.7249842Z 2025-09-07T07:57:10.7249933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7250118Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7250194Z logits = model(x, input_pos) 2025-09-07T07:57:10.7250372Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7250449Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7250624Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7250709Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7250893Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7250962Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7250965Z 2025-09-07T07:57:10.7251062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7251238Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7251348Z logits = model(x, input_pos) 2025-09-07T07:57:10.7251530Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7251602Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7251789Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7251872Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7252059Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7252140Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7252143Z 2025-09-07T07:57:10.7252235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7252422Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7252490Z logits = model(x, input_pos) 2025-09-07T07:57:10.7252711Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7252786Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7252964Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7253056Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7253232Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7253315Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7253318Z 2025-09-07T07:57:10.7253392Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7253492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7253669Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7253732Z logits = model(x, input_pos) 2025-09-07T07:57:10.7253921Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7253991Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7254177Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7254261Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7254441Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7254534Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7254537Z 2025-09-07T07:57:10.7254631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7254816Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7254883Z logits = model(x, input_pos) 2025-09-07T07:57:10.7255062Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7255147Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7255332Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7255424Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7255601Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7255697Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7255700Z 2025-09-07T07:57:10.7255792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7255969Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7256041Z logits = model(x, input_pos) 2025-09-07T07:57:10.7256217Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7256296Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7256473Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7256592Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7256777Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7256901Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7256904Z 2025-09-07T07:57:10.7257005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7257181Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7257247Z logits = model(x, input_pos) 2025-09-07T07:57:10.7257432Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7257502Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7257686Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7257803Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7257989Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7258076Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7258266Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7258352Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7258355Z 2025-09-07T07:57:10.7258447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7258633Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7258698Z logits = model(x, input_pos) 2025-09-07T07:57:10.7258876Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7258957Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7259139Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7259227Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7259404Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7259489Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7259683Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7259752Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7259755Z 2025-09-07T07:57:10.7259852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7260027Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7260100Z logits = model(x, input_pos) 2025-09-07T07:57:10.7260277Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7260353Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7260537Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7260661Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7260849Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7260915Z return output * self.weight 2025-09-07T07:57:10.7260918Z 2025-09-07T07:57:10.7260992Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7261091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7261268Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7261341Z logits = model(x, input_pos) 2025-09-07T07:57:10.7261521Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7261593Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7261898Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7262027Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7262218Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7262288Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7262503Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7262568Z x_out2 = torch.stack( 2025-09-07T07:57:10.7262571Z 2025-09-07T07:57:10.7262667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7262852Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7262918Z logits = model(x, input_pos) 2025-09-07T07:57:10.7263138Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7263213Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7263393Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7263526Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7263705Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7263784Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7263992Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7264056Z x_out2 = torch.stack( 2025-09-07T07:57:10.7264059Z 2025-09-07T07:57:10.7264142Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7264217Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7264323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7264508Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7264574Z logits = model(x, input_pos) 2025-09-07T07:57:10.7264763Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7264834Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7265020Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7265145Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7265332Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7265464Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7265467Z 2025-09-07T07:57:10.7265561Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7265749Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7265817Z logits = model(x, input_pos) 2025-09-07T07:57:10.7266000Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7266071Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7266251Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7266382Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7266559Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7266694Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7266697Z 2025-09-07T07:57:10.7266770Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7266848Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7266944Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7267164Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7267236Z logits = model(x, input_pos) 2025-09-07T07:57:10.7267415Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7267494Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7267672Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7267756Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7267943Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7268010Z return output * self.weight 2025-09-07T07:57:10.7268013Z 2025-09-07T07:57:10.7268115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7268292Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7268392Z logits = model(x, input_pos) 2025-09-07T07:57:10.7268582Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7268653Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7268837Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7268920Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7269098Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7269175Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7269178Z 2025-09-07T07:57:10.7269273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7269457Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7269523Z logits = model(x, input_pos) 2025-09-07T07:57:10.7269712Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7269785Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7269964Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7270052Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7270228Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7270316Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7270320Z 2025-09-07T07:57:10.7270414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7270591Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7270663Z logits = model(x, input_pos) 2025-09-07T07:57:10.7270838Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7270924Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7271105Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7271187Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7271373Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7271452Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7271455Z 2025-09-07T07:57:10.7271536Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7271630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7271815Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7271879Z logits = model(x, input_pos) 2025-09-07T07:57:10.7272056Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7272174Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7272355Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7272444Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7272627Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7272712Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7272715Z 2025-09-07T07:57:10.7272817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7272999Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7273073Z logits = model(x, input_pos) 2025-09-07T07:57:10.7273257Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7273329Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7273552Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7273638Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7273826Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7273911Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7273914Z 2025-09-07T07:57:10.7274017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7274201Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7274269Z logits = model(x, input_pos) 2025-09-07T07:57:10.7274458Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7274529Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7274720Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7274807Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7274991Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7275123Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7275127Z 2025-09-07T07:57:10.7275221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7275411Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7275476Z logits = model(x, input_pos) 2025-09-07T07:57:10.7275664Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7275741Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7275923Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7276012Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7276203Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7276300Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7276496Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7276574Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7276577Z 2025-09-07T07:57:10.7276681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7276868Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7276940Z logits = model(x, input_pos) 2025-09-07T07:57:10.7277121Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7277193Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7277385Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7277500Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7277686Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7277770Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7277959Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7278034Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7278037Z 2025-09-07T07:57:10.7278130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7278312Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7278377Z logits = model(x, input_pos) 2025-09-07T07:57:10.7278565Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7278639Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7278857Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7278995Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7279209Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7279284Z return output * self.weight 2025-09-07T07:57:10.7279287Z 2025-09-07T07:57:10.7279360Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7279455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7279645Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7279711Z logits = model(x, input_pos) 2025-09-07T07:57:10.7279899Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7279971Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7280159Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7280301Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7280485Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 205, in forward 2025-09-07T07:57:10.7280567Z q = apply_rotary_emb(q, freqs_cis) 2025-09-07T07:57:10.7280787Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7280851Z x_out2 = torch.stack( 2025-09-07T07:57:10.7280864Z 2025-09-07T07:57:10.7280960Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7281144Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7281217Z logits = model(x, input_pos) 2025-09-07T07:57:10.7281401Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7281487Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7281674Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7281801Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7281990Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 206, in forward 2025-09-07T07:57:10.7282058Z k = apply_rotary_emb(k, freqs_cis) 2025-09-07T07:57:10.7282275Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 296, in apply_rotary_emb 2025-09-07T07:57:10.7282339Z x_out2 = torch.stack( 2025-09-07T07:57:10.7282342Z 2025-09-07T07:57:10.7282414Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7282495Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7282589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7282776Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7282891Z logits = model(x, input_pos) 2025-09-07T07:57:10.7283074Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7283151Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7283334Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7283460Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7283645Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7283780Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7283783Z 2025-09-07T07:57:10.7283880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7284059Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7284138Z logits = model(x, input_pos) 2025-09-07T07:57:10.7284356Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7284436Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7284615Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 160, in forward 2025-09-07T07:57:10.7284738Z h = x + self.attention(self.attention_norm(x), freqs_cis, mask, input_pos) 2025-09-07T07:57:10.7284926Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 215, in forward 2025-09-07T07:57:10.7285052Z y = F.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0) 2025-09-07T07:57:10.7285055Z 2025-09-07T07:57:10.7285136Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7285233Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7285413Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7285494Z logits = model(x, input_pos) 2025-09-07T07:57:10.7285675Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7285753Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7285930Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7286022Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7286202Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7286270Z return output * self.weight 2025-09-07T07:57:10.7286273Z 2025-09-07T07:57:10.7286375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7286551Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7286620Z logits = model(x, input_pos) 2025-09-07T07:57:10.7286800Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7286876Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7287062Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7287145Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7287334Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 258, in forward 2025-09-07T07:57:10.7287404Z scores = self.gate(x) # [T, E] 2025-09-07T07:57:10.7287407Z 2025-09-07T07:57:10.7287500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7287686Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7287753Z logits = model(x, input_pos) 2025-09-07T07:57:10.7287942Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7288014Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7288239Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7288323Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7288500Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7288593Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7288596Z 2025-09-07T07:57:10.7288690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7288879Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7288946Z logits = model(x, input_pos) 2025-09-07T07:57:10.7289122Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7289202Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7289413Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7289508Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7289687Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 259, in forward 2025-09-07T07:57:10.7289767Z expert_weights = F.softmax(scores, dim=-1) 2025-09-07T07:57:10.7289778Z 2025-09-07T07:57:10.7289856Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7289949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7290137Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7290203Z logits = model(x, input_pos) 2025-09-07T07:57:10.7290391Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7290463Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7290643Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7290739Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7290924Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7291018Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7291021Z 2025-09-07T07:57:10.7291115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7291296Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7291369Z logits = model(x, input_pos) 2025-09-07T07:57:10.7291548Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7291630Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7291811Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7291892Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7292088Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 260, in forward 2025-09-07T07:57:10.7292174Z expert_weights, expert_indices = torch.topk( 2025-09-07T07:57:10.7292177Z 2025-09-07T07:57:10.7292280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7292461Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7292532Z logits = model(x, input_pos) 2025-09-07T07:57:10.7292712Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7292784Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7292973Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7293057Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7293248Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 263, in forward 2025-09-07T07:57:10.7293406Z expert_weights /= expert_weights.sum(dim=-1, keepdim=True) # [T, A] 2025-09-07T07:57:10.7293409Z 2025-09-07T07:57:10.7293504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7293694Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7293760Z logits = model(x, input_pos) 2025-09-07T07:57:10.7293944Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7294015Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7294193Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7294310Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7294487Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7294580Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7294808Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 185, in forward 2025-09-07T07:57:10.7294895Z "tao, taio -> tai", (x1 * x3), w2_weights 2025-09-07T07:57:10.7294897Z 2025-09-07T07:57:10.7294991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7295168Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7295243Z logits = model(x, input_pos) 2025-09-07T07:57:10.7295420Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 139, in forward 2025-09-07T07:57:10.7295500Z x = layer(x, input_pos, freqs_cis, mask) 2025-09-07T07:57:10.7295677Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 161, in forward 2025-09-07T07:57:10.7295761Z out = h + self.block_sparse_moe(self.ffn_norm(h)) 2025-09-07T07:57:10.7295950Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 264, in forward 2025-09-07T07:57:10.7296043Z expert_outs = self.cond_ffn(x, expert_indices) 2025-09-07T07:57:10.7296238Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_quantize.py", line 184, in forward 2025-09-07T07:57:10.7296307Z expert_outs = torch.einsum( 2025-09-07T07:57:10.7296310Z 2025-09-07T07:57:10.7296404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7296583Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 95, in decode_one_token 2025-09-07T07:57:10.7296645Z logits = model(x, input_pos) 2025-09-07T07:57:10.7296827Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 140, in forward 2025-09-07T07:57:10.7296883Z x = self.norm(x) 2025-09-07T07:57:10.7297063Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/mixtral_moe_model.py", line 279, in forward 2025-09-07T07:57:10.7297127Z return output * self.weight 2025-09-07T07:57:10.7297133Z 2025-09-07T07:57:10.7297213Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7297308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7297487Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:57:10.7297570Z return sample(logits, **sampling_kwargs) 2025-09-07T07:57:10.7297739Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 77, in sample 2025-09-07T07:57:10.7297849Z probs = logits_to_probs(logits[0, -1], temperature, top_k) 2025-09-07T07:57:10.7298039Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 66, in logits_to_probs 2025-09-07T07:57:10.7298117Z logits = logits / max(temperature, 1e-5) 2025-09-07T07:57:10.7298120Z 2025-09-07T07:57:10.7298194Z cudagraph partition due to non gpu ops 2025-09-07T07:57:10.7298287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7298465Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:57:10.7298584Z return sample(logits, **sampling_kwargs) 2025-09-07T07:57:10.7298749Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 77, in sample 2025-09-07T07:57:10.7298861Z probs = logits_to_probs(logits[0, -1], temperature, top_k) 2025-09-07T07:57:10.7299041Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 69, in logits_to_probs 2025-09-07T07:57:10.7299144Z v, _ = torch.topk(logits, min(top_k, logits.size(-1))) 2025-09-07T07:57:10.7299155Z 2025-09-07T07:57:10.7299249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7299429Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:57:10.7299506Z return sample(logits, **sampling_kwargs) 2025-09-07T07:57:10.7299668Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 77, in sample 2025-09-07T07:57:10.7299779Z probs = logits_to_probs(logits[0, -1], temperature, top_k) 2025-09-07T07:57:10.7300090Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 72, in logits_to_probs 2025-09-07T07:57:10.7300199Z probs = torch.nn.functional.softmax(logits, dim=-1) 2025-09-07T07:57:10.7300202Z 2025-09-07T07:57:10.7300303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T07:57:10.7300481Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 96, in decode_one_token 2025-09-07T07:57:10.7300569Z return sample(logits, **sampling_kwargs) 2025-09-07T07:57:10.7300732Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 78, in sample 2025-09-07T07:57:10.7300827Z idx_next = multinomial_sample_one_no_sync(probs) 2025-09-07T07:57:10.7301057Z File "/var/lib/jenkins/workspace/benchmarks/gpt_fast/generate.py", line 62, in multinomial_sample_one_no_sync 2025-09-07T07:57:10.7301199Z return torch.argmax(probs_sort / q, dim=-1, keepdim=True).to(dtype=torch.int) 2025-09-07T07:57:10.7301205Z 2025-09-07T07:57:29.6305354Z Compilation time: 52.65 seconds 2025-09-07T07:58:07.7975857Z Average tokens/sec: 26.20 tokens/sec 2025-09-07T07:58:07.7976373Z Average bandwidth achieved: 168.83 GB/s 2025-09-07T07:58:07.7976732Z Memory used: 0.00 GB 2025-09-07T07:59:18.3875265Z + sccache_epilogue 2025-09-07T07:59:18.3875588Z + echo '::group::Sccache Compilation Log' 2025-09-07T07:59:18.3876281Z ##[group]Sccache Compilation Log 2025-09-07T07:59:18.3876584Z + echo '=================== sccache compilation log ===================' 2025-09-07T07:59:18.3876904Z =================== sccache compilation log =================== 2025-09-07T07:59:18.3877315Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-09-07T07:59:18.4103815Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-09-07T07:59:18.4104230Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-09-07T07:59:18.4104591Z + sccache --show-stats 2025-09-07T07:59:18.4131217Z Compile requests 78 2025-09-07T07:59:18.4131421Z Compile requests executed 0 2025-09-07T07:59:18.4131622Z Cache hits 0 2025-09-07T07:59:18.4131871Z Cache misses 0 2025-09-07T07:59:18.4132093Z Cache hits rate - 2025-09-07T07:59:18.4132291Z Cache timeouts 0 2025-09-07T07:59:18.4135145Z Cache read errors 0 2025-09-07T07:59:18.4135416Z Forced recaches 0 2025-09-07T07:59:18.4135644Z Cache write errors 0 2025-09-07T07:59:18.4135840Z Cache errors 0 2025-09-07T07:59:18.4136035Z Compilations 0 2025-09-07T07:59:18.4136235Z Compilation failures 0 2025-09-07T07:59:18.4136444Z Non-cacheable compilations 0 2025-09-07T07:59:18.4136637Z Non-cacheable calls 1 2025-09-07T07:59:18.4137169Z Non-compilation calls 77 2025-09-07T07:59:18.4137371Z Unsupported compiler calls 0 2025-09-07T07:59:18.4137578Z Average cache write 0.000 s 2025-09-07T07:59:18.4137784Z Average compiler 0.000 s 2025-09-07T07:59:18.4137994Z Average cache read hit 0.000 s 2025-09-07T07:59:18.4138201Z Failed distributed compilations 0 2025-09-07T07:59:18.4138332Z 2025-09-07T07:59:18.4138410Z Non-cacheable reasons: 2025-09-07T07:59:18.4138582Z -E 1 2025-09-07T07:59:18.4138723Z 2025-09-07T07:59:18.4138878Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-09-07T07:59:18.4139162Z Version (client) 0.10.0 2025-09-07T07:59:18.4139360Z + sccache --stop-server 2025-09-07T07:59:18.4158399Z Stopping sccache server... 2025-09-07T07:59:18.4160450Z Compile requests 78 2025-09-07T07:59:18.4160654Z Compile requests executed 0 2025-09-07T07:59:18.4160980Z Cache hits 0 2025-09-07T07:59:18.4161174Z Cache misses 0 2025-09-07T07:59:18.4161358Z Cache hits rate - 2025-09-07T07:59:18.4161548Z Cache timeouts 0 2025-09-07T07:59:18.4161737Z Cache read errors 0 2025-09-07T07:59:18.4161925Z Forced recaches 0 2025-09-07T07:59:18.4162113Z Cache write errors 0 2025-09-07T07:59:18.4162307Z Cache errors 0 2025-09-07T07:59:18.4162506Z Compilations 0 2025-09-07T07:59:18.4162707Z Compilation failures 0 2025-09-07T07:59:18.4165835Z Non-cacheable compilations 0 2025-09-07T07:59:18.4166042Z Non-cacheable calls 1 2025-09-07T07:59:18.4166265Z Non-compilation calls 77 2025-09-07T07:59:18.4166475Z Unsupported compiler calls 0 2025-09-07T07:59:18.4166692Z Average cache write 0.000 s 2025-09-07T07:59:18.4166903Z Average compiler 0.000 s 2025-09-07T07:59:18.4167117Z Average cache read hit 0.000 s 2025-09-07T07:59:18.4167333Z Failed distributed compilations 0 2025-09-07T07:59:18.4167465Z 2025-09-07T07:59:18.4167545Z Non-cacheable reasons: 2025-09-07T07:59:18.4167714Z -E 1 2025-09-07T07:59:18.4167841Z 2025-09-07T07:59:18.4167986Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-09-07T07:59:18.4168262Z Version (client) 0.10.0 2025-09-07T07:59:18.4168481Z + echo ::endgroup:: 2025-09-07T07:59:18.4168824Z ##[endgroup] 2025-09-07T07:59:18.4168984Z + cleanup_workspace 2025-09-07T07:59:18.4169289Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-09-07T07:59:18.4169750Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-09-07T07:59:18.4170161Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-09-07T07:59:18.4170458Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-09-07T07:59:18.4170805Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-09-07T07:59:18.4171158Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-09-07T07:59:18.4171451Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-09-07T07:59:18.8110334Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-09-07T07:59:18.8110660Z with: 2025-09-07T07:59:18.8110856Z benchmark-results-dir: test/test-reports 2025-09-07T07:59:18.8111089Z dry-run: false 2025-09-07T07:59:18.8111270Z schema-version: v3 2025-09-07T07:59:18.8111651Z github-token: *** 2025-09-07T07:59:18.8111818Z env: 2025-09-07T07:59:18.8111983Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:18.8112306Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:18.8112758Z ##[endgroup] 2025-09-07T07:59:18.8125766Z ##[group]Run set -eux 2025-09-07T07:59:18.8125982Z set -eux 2025-09-07T07:59:18.8126136Z  2025-09-07T07:59:18.8126298Z if [[ -n "" ]]; then 2025-09-07T07:59:18.8126489Z  source "" 2025-09-07T07:59:18.8126655Z fi 2025-09-07T07:59:18.8126887Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T07:59:18.8127203Z  2025-09-07T07:59:18.8127363Z DEVICE_NAME="" 2025-09-07T07:59:18.8127541Z DEVICE_TYPE="" 2025-09-07T07:59:18.8127710Z  2025-09-07T07:59:18.8127873Z if command -v nvidia-smi; then 2025-09-07T07:59:18.8128167Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-09-07T07:59:18.8128513Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-09-07T07:59:18.8128844Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-09-07T07:59:18.8129126Z  python3 -mpip install torch==2.7.1 2025-09-07T07:59:18.8129358Z elif command -v rocminfo; then 2025-09-07T07:59:18.8129631Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-09-07T07:59:18.8129975Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-09-07T07:59:18.8130345Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-09-07T07:59:18.8130651Z  # GPU device name coming from rocminfo instead 2025-09-07T07:59:18.8130876Z  DEVICE_NAME=rocm 2025-09-07T07:59:18.8131186Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-09-07T07:59:18.8131489Z fi 2025-09-07T07:59:18.8131642Z  2025-09-07T07:59:18.8131822Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-09-07T07:59:18.8132085Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T07:59:18.8140075Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:18.8140326Z env: 2025-09-07T07:59:18.8140490Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:18.8140794Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:18.8141111Z ##[endgroup] 2025-09-07T07:59:18.8166811Z + [[ -n '' ]] 2025-09-07T07:59:18.8167182Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T07:59:18.9787640Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:59:19.6720203Z Collecting boto3==1.35.33 2025-09-07T07:59:19.6852631Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T07:59:19.8849733Z Collecting psutil==7.0.0 2025-09-07T07:59:19.8878959Z 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) 2025-09-07T07:59:19.9089411Z Collecting pynvml==12.0.0 2025-09-07T07:59:19.9120775Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T07:59:19.9441517Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T07:59:19.9470444Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T07:59:19.9516943Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-09-07T07:59:20.6618591Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T07:59:20.6650127Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T07:59:20.7897612Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T07:59:20.7928123Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T07:59:20.8003676Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-09-07T07:59:20.8008587Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T07:59:20.9349730Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-09-07T07:59:21.0234337Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T07:59:21.3414148Z Attempting uninstall: nvidia-ml-py 2025-09-07T07:59:21.3414573Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T07:59:21.3421811Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T07:59:21.3536231Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T07:59:21.3996428Z Attempting uninstall: psutil 2025-09-07T07:59:21.3996785Z Found existing installation: psutil 5.9.8 2025-09-07T07:59:21.4036371Z Uninstalling psutil-5.9.8: 2025-09-07T07:59:21.4040399Z Successfully uninstalled psutil-5.9.8 2025-09-07T07:59:21.5276374Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T07:59:21.6151414Z + DEVICE_NAME= 2025-09-07T07:59:21.6151676Z + DEVICE_TYPE= 2025-09-07T07:59:21.6151850Z + command -v nvidia-smi 2025-09-07T07:59:21.6152067Z + command -v rocminfo 2025-09-07T07:59:21.6152269Z + echo DEVICE_NAME= 2025-09-07T07:59:21.6152482Z + echo DEVICE_TYPE= 2025-09-07T07:59:21.6171456Z ##[group]Run set -eux 2025-09-07T07:59:21.6171648Z set -eux 2025-09-07T07:59:21.6171815Z  2025-09-07T07:59:21.6171977Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T07:59:21.6172203Z  echo "Missing github-token input" 2025-09-07T07:59:21.6172402Z  exit 1 2025-09-07T07:59:21.6172547Z fi 2025-09-07T07:59:21.6177224Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:21.6177481Z env: 2025-09-07T07:59:21.6177635Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:21.6177919Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:21.6178224Z DEVICE_NAME: 2025-09-07T07:59:21.6178365Z DEVICE_TYPE: 2025-09-07T07:59:21.6178713Z GITHUB_TOKEN: *** 2025-09-07T07:59:21.6178874Z ##[endgroup] 2025-09-07T07:59:21.6198528Z + [[ -z *** ]] 2025-09-07T07:59:21.6226429Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T07:59:21.6226714Z with: 2025-09-07T07:59:21.6226977Z github-token: *** 2025-09-07T07:59:21.6227134Z env: 2025-09-07T07:59:21.6227298Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:21.6227576Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:21.6227869Z DEVICE_NAME: 2025-09-07T07:59:21.6228022Z DEVICE_TYPE: 2025-09-07T07:59:21.6228175Z ##[endgroup] 2025-09-07T07:59:21.6236674Z ##[group]Run set -eux 2025-09-07T07:59:21.6236855Z set -eux 2025-09-07T07:59:21.6237008Z  2025-09-07T07:59:21.6237284Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:59:21.6241804Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:21.6242037Z env: 2025-09-07T07:59:21.6242187Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:21.6242478Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:21.6242760Z DEVICE_NAME: 2025-09-07T07:59:21.6242914Z DEVICE_TYPE: 2025-09-07T07:59:21.6243169Z GITHUB_TOKEN: *** 2025-09-07T07:59:21.6243438Z ##[endgroup] 2025-09-07T07:59:21.6261516Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525325007 i-046e182f934d54502 2025-09-07T07:59:21.8496008Z setting job-id=49775637404 2025-09-07T07:59:21.8496510Z setting job-name=inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:59:21.8570587Z ##[group]Run set -eux 2025-09-07T07:59:21.8570772Z set -eux 2025-09-07T07:59:21.8571032Z  2025-09-07T07:59:21.8571190Z if [[ -n "" ]]; then 2025-09-07T07:59:21.8571370Z  source "" 2025-09-07T07:59:21.8571532Z fi 2025-09-07T07:59:21.8571678Z  2025-09-07T07:59:21.8571925Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T07:59:21.8572242Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T07:59:21.8572466Z  --repo "${REPO}" \ 2025-09-07T07:59:21.8572672Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T07:59:21.8572883Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T07:59:21.8573096Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T07:59:21.8573310Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T07:59:21.8573516Z  --job-id "${JOB_ID}" \ 2025-09-07T07:59:21.8573715Z  --job-name "${JOB_NAME}" 2025-09-07T07:59:21.8577344Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:21.8577580Z env: 2025-09-07T07:59:21.8577731Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:21.8578019Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:21.8578299Z DEVICE_NAME: 2025-09-07T07:59:21.8578457Z DEVICE_TYPE: 2025-09-07T07:59:21.8578615Z SCHEMA_VERSION: v3 2025-09-07T07:59:21.8578782Z REPO: pytorch/pytorch 2025-09-07T07:59:21.8578950Z HEAD_BRANCH: refs/heads/main 2025-09-07T07:59:21.8579261Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:59:21.8579482Z WORKFLOW_RUN_ID: 17525325007 2025-09-07T07:59:21.8579658Z RUN_ATTEMPT: 1 2025-09-07T07:59:21.8579808Z JOB_ID: 49775637404 2025-09-07T07:59:21.8580172Z JOB_NAME: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:59:21.8580542Z ##[endgroup] 2025-09-07T07:59:21.8601645Z + [[ -n '' ]] 2025-09-07T07:59:21.8603100Z + python3 /home/ec2-user/actions-runner/_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 17525325007 --run-attempt 1 --job-id 49775637404 --job-name 'inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2)' 2025-09-07T07:59:21.8836784Z ##[group]Run set -eux 2025-09-07T07:59:21.8836977Z set -eux 2025-09-07T07:59:21.8837118Z  2025-09-07T07:59:21.8837266Z if [[ -n "" ]]; then 2025-09-07T07:59:21.8837441Z  source "" 2025-09-07T07:59:21.8837594Z fi 2025-09-07T07:59:21.8837726Z  2025-09-07T07:59:21.8837968Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T07:59:21.8841483Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:21.8841709Z env: 2025-09-07T07:59:21.8841852Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:21.8842145Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:21.8842441Z DEVICE_NAME: 2025-09-07T07:59:21.8842597Z DEVICE_TYPE: 2025-09-07T07:59:21.8842742Z ##[endgroup] 2025-09-07T07:59:21.8858389Z + [[ -n '' ]] 2025-09-07T07:59:21.8859127Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T07:59:21.9140527Z INFO:root:Fail to import torch to get the device name 2025-09-07T07:59:21.9213572Z ##[group]Run set -eux 2025-09-07T07:59:21.9213750Z set -eux 2025-09-07T07:59:21.9213903Z  2025-09-07T07:59:21.9214064Z # TODO (huydhn): Implement this part 2025-09-07T07:59:21.9214306Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:59:21.9217634Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:21.9217862Z env: 2025-09-07T07:59:21.9218094Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:21.9218374Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:21.9218664Z DEVICE_NAME: 2025-09-07T07:59:21.9218818Z DEVICE_TYPE: 2025-09-07T07:59:21.9218969Z ##[endgroup] 2025-09-07T07:59:21.9234019Z + echo 'dependencies={}' 2025-09-07T07:59:21.9246406Z ##[group]Run set -eux 2025-09-07T07:59:21.9246597Z set -eux 2025-09-07T07:59:21.9246759Z  2025-09-07T07:59:21.9246911Z if [[ -n "" ]]; then 2025-09-07T07:59:21.9247081Z  source "" 2025-09-07T07:59:21.9247234Z fi 2025-09-07T07:59:21.9247376Z  2025-09-07T07:59:21.9247549Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T07:59:21.9247810Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T07:59:21.9248094Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T07:59:21.9248322Z  exit 0 2025-09-07T07:59:21.9248476Z fi 2025-09-07T07:59:21.9248606Z  2025-09-07T07:59:21.9248766Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T07:59:21.9249053Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T07:59:21.9249381Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T07:59:21.9249636Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T07:59:21.9249846Z  --runners "${RUNNER_INFO}" \ 2025-09-07T07:59:21.9250062Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T07:59:21.9250267Z  --dry-run 2025-09-07T07:59:21.9250428Z else 2025-09-07T07:59:21.9250652Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T07:59:21.9250996Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T07:59:21.9251246Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T07:59:21.9251463Z  --runners "${RUNNER_INFO}" \ 2025-09-07T07:59:21.9251666Z  --dependencies "${DEPENDENCIES}" 2025-09-07T07:59:21.9251862Z fi 2025-09-07T07:59:21.9255590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:21.9255834Z env: 2025-09-07T07:59:21.9255973Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:21.9256258Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:21.9256554Z DEVICE_NAME: 2025-09-07T07:59:21.9256710Z DEVICE_TYPE: 2025-09-07T07:59:21.9256877Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T07:59:21.9257062Z DRY_RUN: false 2025-09-07T07:59:21.9257854Z BENCHMARK_METADATA: {"timestamp": 1757231961, "schema_version": "v3", "name": "inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525325007, "run_attempt": 1, "job_id": 49775637404} 2025-09-07T07:59:21.9258841Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-1-11.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T07:59:21.9259193Z DEPENDENCIES: {} 2025-09-07T07:59:21.9259347Z ##[endgroup] 2025-09-07T07:59:21.9275549Z + [[ -n '' ]] 2025-09-07T07:59:21.9275727Z + [[ ! -d test/test-reports ]] 2025-09-07T07:59:21.9275988Z + [[ false == \t\r\u\e ]] 2025-09-07T07:59:21.9277599Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757231961, "schema_version": "v3", "name": "inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525325007, "run_attempt": 1, "job_id": 49775637404}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-1-11.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T07:59:22.0216901Z INFO:root:Upload test/test-reports/gpt_fast_benchmark.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525325007/49775637404/gpt_fast_benchmark.json 2025-09-07T07:59:22.0393147Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T07:59:22.2080609Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T07:59:22.2080858Z cat test/**/*_toprint.log || true 2025-09-07T07:59:22.2084426Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:22.2084661Z env: 2025-09-07T07:59:22.2084812Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:22.2085097Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:22.2085394Z DEVICE_NAME: 2025-09-07T07:59:22.2085546Z DEVICE_TYPE: 2025-09-07T07:59:22.2085695Z ##[endgroup] 2025-09-07T07:59:22.2144814Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T07:59:22.2161198Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T07:59:22.2161433Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T07:59:22.2164885Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:22.2165115Z env: 2025-09-07T07:59:22.2165262Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:22.2165542Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:22.2165827Z DEVICE_NAME: 2025-09-07T07:59:22.2165984Z DEVICE_TYPE: 2025-09-07T07:59:22.2166142Z MONITOR_SCRIPT_PID: 57353 2025-09-07T07:59:22.2166314Z ##[endgroup] 2025-09-07T07:59:22.2248719Z Prepare all required actions 2025-09-07T07:59:22.2249017Z Getting action download info 2025-09-07T07:59:22.3621543Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:59:22.5608468Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T07:59:22.9751917Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T07:59:22.9752142Z with: 2025-09-07T07:59:22.9752431Z file-suffix: test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404 2025-09-07T07:59:22.9752750Z s3-bucket: gha-artifacts 2025-09-07T07:59:22.9752920Z env: 2025-09-07T07:59:22.9753060Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:22.9753338Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:22.9753620Z DEVICE_NAME: 2025-09-07T07:59:22.9753773Z DEVICE_TYPE: 2025-09-07T07:59:22.9753914Z ##[endgroup] 2025-09-07T07:59:22.9768030Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T07:59:22.9768307Z # Remove any previous test jsons if they exist 2025-09-07T07:59:22.9768525Z rm -f test-jsons-*.zip 2025-09-07T07:59:22.9768787Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T07:59:22.9772111Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:22.9772327Z env: 2025-09-07T07:59:22.9772460Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:22.9772727Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:22.9773005Z DEVICE_NAME: 2025-09-07T07:59:22.9773158Z DEVICE_TYPE: 2025-09-07T07:59:22.9773464Z FILE_SUFFIX: test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404 2025-09-07T07:59:22.9773763Z ##[endgroup] 2025-09-07T07:59:22.9905650Z adding: test/test-reports/gpt_fast_benchmark.json (deflated 90%) 2025-09-07T07:59:22.9921949Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T07:59:22.9922245Z # Remove any previous test reports if they exist 2025-09-07T07:59:22.9922473Z rm -f test-reports-*.zip 2025-09-07T07:59:22.9922843Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T07:59:22.9926472Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:22.9926702Z env: 2025-09-07T07:59:22.9926849Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:22.9927133Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:22.9927419Z DEVICE_NAME: 2025-09-07T07:59:22.9927572Z DEVICE_TYPE: 2025-09-07T07:59:22.9927856Z FILE_SUFFIX: test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404 2025-09-07T07:59:22.9928164Z ##[endgroup] 2025-09-07T07:59:22.9958375Z adding: test/test-reports/gpt_fast_benchmark.csv (deflated 69%) 2025-09-07T07:59:22.9972239Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T07:59:22.9972526Z # Remove any previous usage logs if they exist 2025-09-07T07:59:22.9972740Z rm -f logs-*.zip 2025-09-07T07:59:22.9972971Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T07:59:22.9973272Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T07:59:22.9976828Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:22.9977053Z env: 2025-09-07T07:59:22.9977203Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:22.9977487Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:22.9977770Z DEVICE_NAME: 2025-09-07T07:59:22.9977924Z DEVICE_TYPE: 2025-09-07T07:59:22.9978210Z FILE_SUFFIX: test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404 2025-09-07T07:59:22.9978524Z ##[endgroup] 2025-09-07T07:59:23.0015614Z adding: usage_log.txt (deflated 93%) 2025-09-07T07:59:23.0023879Z 2025-09-07T07:59:23.0024241Z zip error: Nothing to do! (logs-test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404.zip) 2025-09-07T07:59:23.0037300Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T07:59:23.0037630Z # Remove any previous debugging artifacts if they exist 2025-09-07T07:59:23.0037872Z rm -f debug-*.zip 2025-09-07T07:59:23.0038059Z if [ -d 'test/debug' ]; then 2025-09-07T07:59:23.0038279Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T07:59:23.0038487Z fi 2025-09-07T07:59:23.0041893Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:23.0042117Z env: 2025-09-07T07:59:23.0042260Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:23.0042544Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:23.0042843Z DEVICE_NAME: 2025-09-07T07:59:23.0042997Z DEVICE_TYPE: 2025-09-07T07:59:23.0043296Z FILE_SUFFIX: test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404 2025-09-07T07:59:23.0043614Z ##[endgroup] 2025-09-07T07:59:23.0096659Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:59:23.0096899Z with: 2025-09-07T07:59:23.0097063Z s3-bucket: gha-artifacts 2025-09-07T07:59:23.0097278Z s3-prefix: pytorch/pytorch/17525325007/1/artifact 2025-09-07T07:59:23.0097509Z retention-days: 14 2025-09-07T07:59:23.0097684Z if-no-files-found: warn 2025-09-07T07:59:23.0097869Z path: test-jsons-*.zip 2025-09-07T07:59:23.0098034Z name: artifact 2025-09-07T07:59:23.0098196Z region: us-east-1 2025-09-07T07:59:23.0098354Z env: 2025-09-07T07:59:23.0098503Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:23.0098798Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:23.0099113Z DEVICE_NAME: 2025-09-07T07:59:23.0099275Z DEVICE_TYPE: 2025-09-07T07:59:23.0099429Z ##[endgroup] 2025-09-07T07:59:23.2534694Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:59:23.2535003Z With the provided path, there will be 1 file uploaded 2025-09-07T07:59:23.2535278Z Uploading to s3 prefix: pytorch/pytorch/17525325007/1/artifact 2025-09-07T07:59:23.2564993Z Starting upload of test-jsons-test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404.zip 2025-09-07T07:59:23.3624067Z Finished upload of test-jsons-test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404.zip 2025-09-07T07:59:23.3755997Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:59:23.3756204Z with: 2025-09-07T07:59:23.3756360Z s3-bucket: gha-artifacts 2025-09-07T07:59:23.3756576Z s3-prefix: pytorch/pytorch/17525325007/1/artifact 2025-09-07T07:59:23.3756795Z retention-days: 14 2025-09-07T07:59:23.3756953Z if-no-files-found: error 2025-09-07T07:59:23.3757132Z path: test-reports-*.zip 2025-09-07T07:59:23.3757298Z name: artifact 2025-09-07T07:59:23.3757447Z region: us-east-1 2025-09-07T07:59:23.3757586Z env: 2025-09-07T07:59:23.3757735Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:23.3758017Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:23.3758303Z DEVICE_NAME: 2025-09-07T07:59:23.3758451Z DEVICE_TYPE: 2025-09-07T07:59:23.3758597Z ##[endgroup] 2025-09-07T07:59:23.5992021Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:59:23.5992335Z With the provided path, there will be 1 file uploaded 2025-09-07T07:59:23.5992612Z Uploading to s3 prefix: pytorch/pytorch/17525325007/1/artifact 2025-09-07T07:59:23.6020773Z Starting upload of test-reports-test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404.zip 2025-09-07T07:59:23.7054411Z Finished upload of test-reports-test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404.zip 2025-09-07T07:59:23.7205373Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:59:23.7205580Z with: 2025-09-07T07:59:23.7205742Z s3-bucket: gha-artifacts 2025-09-07T07:59:23.7206083Z s3-prefix: pytorch/pytorch/17525325007/1/artifact 2025-09-07T07:59:23.7206309Z retention-days: 14 2025-09-07T07:59:23.7206480Z if-no-files-found: ignore 2025-09-07T07:59:23.7206662Z path: logs-*.zip 2025-09-07T07:59:23.7206839Z name: artifact 2025-09-07T07:59:23.7207000Z region: us-east-1 2025-09-07T07:59:23.7207149Z env: 2025-09-07T07:59:23.7207301Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:23.7207590Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:23.7207886Z DEVICE_NAME: 2025-09-07T07:59:23.7208034Z DEVICE_TYPE: 2025-09-07T07:59:23.7208192Z ##[endgroup] 2025-09-07T07:59:23.9446057Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T07:59:23.9446380Z With the provided path, there will be 1 file uploaded 2025-09-07T07:59:23.9446658Z Uploading to s3 prefix: pytorch/pytorch/17525325007/1/artifact 2025-09-07T07:59:23.9474961Z Starting upload of logs-test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404.zip 2025-09-07T07:59:24.0718880Z Finished upload of logs-test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404.zip 2025-09-07T07:59:24.0837177Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T07:59:24.0837411Z with: 2025-09-07T07:59:24.0837564Z s3-bucket: gha-artifacts 2025-09-07T07:59:24.0837778Z s3-prefix: pytorch/pytorch/17525325007/1/artifact 2025-09-07T07:59:24.0837995Z retention-days: 14 2025-09-07T07:59:24.0838159Z if-no-files-found: ignore 2025-09-07T07:59:24.0838330Z path: debug-*.zip 2025-09-07T07:59:24.0838484Z name: artifact 2025-09-07T07:59:24.0838640Z region: us-east-1 2025-09-07T07:59:24.0838792Z env: 2025-09-07T07:59:24.0838927Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:24.0839209Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:24.0839498Z DEVICE_NAME: 2025-09-07T07:59:24.0839652Z DEVICE_TYPE: 2025-09-07T07:59:24.0839790Z ##[endgroup] 2025-09-07T07:59:24.3014195Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T07:59:24.3138430Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T07:59:24.3138689Z # shellcheck disable=SC2156 2025-09-07T07:59:24.3139152Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T07:59:24.3144171Z shell: /usr/bin/bash -e {0} 2025-09-07T07:59:24.3144351Z env: 2025-09-07T07:59:24.3144510Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:24.3144797Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:24.3145102Z DEVICE_NAME: 2025-09-07T07:59:24.3145260Z DEVICE_TYPE: 2025-09-07T07:59:24.3145416Z ##[endgroup] 2025-09-07T07:59:24.4819902Z Prepare all required actions 2025-09-07T07:59:24.4820182Z Getting action download info 2025-09-07T07:59:24.6047822Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T07:59:24.6048046Z with: 2025-09-07T07:59:24.6048195Z job_id: 49775637404 2025-09-07T07:59:24.6048557Z job_name: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:59:24.6048964Z workflow_name: inductor-micro-benchmark-x86 2025-09-07T07:59:24.6049191Z workflow_run_id: 17525325007 2025-09-07T07:59:24.6049370Z workflow_attempt: 1 2025-09-07T07:59:24.6049526Z env: 2025-09-07T07:59:24.6049670Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:24.6049944Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:24.6050233Z DEVICE_NAME: 2025-09-07T07:59:24.6050384Z DEVICE_TYPE: 2025-09-07T07:59:24.6050537Z ##[endgroup] 2025-09-07T07:59:24.6060658Z ##[group]Run echo "workflow_id: 17525325007" 2025-09-07T07:59:24.6060888Z echo "workflow_id: 17525325007" 2025-09-07T07:59:24.6061093Z echo "workflow_attempt: 1" 2025-09-07T07:59:24.6061339Z echo "workflow_Name: inductor-micro-benchmark-x86" 2025-09-07T07:59:24.6061576Z echo "job_id: 49775637404" 2025-09-07T07:59:24.6061969Z echo "job_name: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2)" 2025-09-07T07:59:24.6062387Z echo "artifact_prefix: " 2025-09-07T07:59:24.6062585Z python3 --version 2025-09-07T07:59:24.6066284Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:24.6066518Z env: 2025-09-07T07:59:24.6066660Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:24.6066949Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:24.6067242Z DEVICE_NAME: 2025-09-07T07:59:24.6067394Z DEVICE_TYPE: 2025-09-07T07:59:24.6067544Z ##[endgroup] 2025-09-07T07:59:24.6084727Z workflow_id: 17525325007 2025-09-07T07:59:24.6084958Z workflow_attempt: 1 2025-09-07T07:59:24.6085163Z workflow_Name: inductor-micro-benchmark-x86 2025-09-07T07:59:24.6085377Z job_id: 49775637404 2025-09-07T07:59:24.6085762Z job_name: inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2) 2025-09-07T07:59:24.6086135Z artifact_prefix: 2025-09-07T07:59:24.6095424Z Python 3.9.23 2025-09-07T07:59:24.6119949Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:59:24.6120151Z with: 2025-09-07T07:59:24.6120291Z shell: bash 2025-09-07T07:59:24.6120445Z timeout_minutes: 5 2025-09-07T07:59:24.6120610Z max_attempts: 5 2025-09-07T07:59:24.6120769Z retry_wait_seconds: 30 2025-09-07T07:59:24.6121089Z 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 2025-09-07T07:59:24.6121424Z polling_interval_seconds: 1 2025-09-07T07:59:24.6121616Z warning_on_retry: true 2025-09-07T07:59:24.6121787Z continue_on_error: false 2025-09-07T07:59:24.6121944Z env: 2025-09-07T07:59:24.6122085Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:24.6122365Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:24.6122655Z DEVICE_NAME: 2025-09-07T07:59:24.6122802Z DEVICE_TYPE: 2025-09-07T07:59:24.6122940Z ##[endgroup] 2025-09-07T07:59:24.8431866Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:59:24.9103436Z Collecting python-dateutil==2.8.2 2025-09-07T07:59:24.9400459Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T07:59:25.5881175Z Collecting boto3==1.35.42 2025-09-07T07:59:25.5969827Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T07:59:25.9433739Z Collecting pandas==2.1.3 2025-09-07T07:59:25.9521319Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T07:59:26.0476358Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-09-07T07:59:26.0483751Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T07:59:26.0513633Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T07:59:26.0517180Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T07:59:26.0519502Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-09-07T07:59:26.6299845Z Collecting numpy<2,>=1.22.4 2025-09-07T07:59:26.6383326Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T07:59:26.7540557Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T07:59:26.7796180Z Collecting tzdata>=2022.1 2025-09-07T07:59:26.7878886Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T07:59:26.7985133Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-09-07T07:59:26.7985751Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-09-07T07:59:26.8026100Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-09-07T07:59:26.8100251Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-09-07T07:59:26.8170318Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T07:59:26.8173027Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-09-07T07:59:26.9248750Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-09-07T07:59:30.4827462Z Attempting uninstall: boto3 2025-09-07T07:59:30.4827799Z Found existing installation: boto3 1.35.33 2025-09-07T07:59:30.4886505Z Uninstalling boto3-1.35.33: 2025-09-07T07:59:30.4894240Z Successfully uninstalled boto3-1.35.33 2025-09-07T07:59:30.5268409Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-09-07T07:59:30.6699906Z Command completed after 1 attempt(s). 2025-09-07T07:59:30.6739245Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T07:59:30.6739682Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T07:59:30.6740000Z  --workflow-run-id "17525325007" \ 2025-09-07T07:59:30.6740256Z  --workflow-name "inductor-micro-benchmark-x86" \ 2025-09-07T07:59:30.6740510Z  --workflow-run-attempt "1" \ 2025-09-07T07:59:30.6740718Z  --job-id "49775637404" \ 2025-09-07T07:59:30.6741114Z  --job-name "inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2)" \ 2025-09-07T07:59:30.6741624Z  --local-path "" \ 2025-09-07T07:59:30.6741805Z  --artifact-prefix "" 2025-09-07T07:59:30.6746237Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:30.6746471Z env: 2025-09-07T07:59:30.6746628Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:30.6746912Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:30.6747207Z DEVICE_NAME: 2025-09-07T07:59:30.6747458Z DEVICE_TYPE: 2025-09-07T07:59:30.6747606Z ##[endgroup] 2025-09-07T07:59:31.3411759Z repo: pytorch/pytorch 2025-09-07T07:59:31.3412032Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T07:59:31.3412430Z Downloading logs-test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404.zip 2025-09-07T07:59:31.3412992Z extracting usage_log.txt from zip file logs-test-inductor-micro-benchmark-cpu-x86-1-1-linux.24xl.spr-metal_49775637404.zip 2025-09-07T07:59:31.3413441Z Converted Log Model: UtilizationMetadata: 2025-09-07T07:59:31.3414346Z UtilizationMetadata(level='metadata', workflow_id='17525325007', job_id='49775637404', workflow_name='inductor-micro-benchmark-x86', job_name='inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1757231195, gpu_count=0, cpu_count=96, gpu_type=None, error=None) 2025-09-07T07:59:31.3415280Z [Db Segments] detected pytest cmd: 9, generated segments: 9 2025-09-07T07:59:31.3415532Z [db model] Peek db timeseries 2025-09-07T07:59:31.3415706Z :{ 2025-09-07T07:59:31.3415860Z "created_at": 1757231971, 2025-09-07T07:59:31.3416040Z "type": "utilization", 2025-09-07T07:59:31.3416212Z "tags": [ 2025-09-07T07:59:31.3416351Z "record" 2025-09-07T07:59:31.3416512Z ], 2025-09-07T07:59:31.3416658Z "time_stamp": 1757231195, 2025-09-07T07:59:31.3416842Z "repo": "pytorch/pytorch", 2025-09-07T07:59:31.3417019Z "workflow_id": 17525325007, 2025-09-07T07:59:31.3417194Z "run_attempt": 1, 2025-09-07T07:59:31.3417363Z "job_id": 49775637404, 2025-09-07T07:59:31.3417571Z "workflow_name": "inductor-micro-benchmark-x86", 2025-09-07T07:59:31.3417984Z "job_name": "inductor-micro-benchmark-test / test (inductor-micro-benchmark-cpu-x86, 1, 1, linux.24xl.spr-metal, oncall:pt2)", 2025-09-07T07:59:31.3418358Z "json_data": "{}" 2025-09-07T07:59:31.3418514Z } 2025-09-07T07:59:31.3418820Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525325007/1/49775637404/metadata 2025-09-07T07:59:31.3419316Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525325007/1/49775637404/metadata 2025-09-07T07:59:31.3419832Z Writing 145 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525325007/1/49775637404/time_series 2025-09-07T07:59:31.3420348Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525325007/1/49775637404/time_series 2025-09-07T07:59:31.4171891Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T07:59:31.4172239Z with: 2025-09-07T07:59:31.4172422Z env: 2025-09-07T07:59:31.4172623Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:31.4173021Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:31.4173417Z DEVICE_NAME: 2025-09-07T07:59:31.4173609Z DEVICE_TYPE: 2025-09-07T07:59:31.4173804Z ##[endgroup] 2025-09-07T07:59:31.4188718Z ##[group]Run set -eou pipefail 2025-09-07T07:59:31.4189067Z set -eou pipefail 2025-09-07T07:59:31.4189284Z  2025-09-07T07:59:31.4189589Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T07:59:31.4189951Z for _ in $(seq 1440); do 2025-09-07T07:59:31.4190240Z  # Break if no ssh session exists anymore 2025-09-07T07:59:31.4190516Z  if [ "$(who)" = "" ]; then 2025-09-07T07:59:31.4190876Z  break 2025-09-07T07:59:31.4191125Z  fi 2025-09-07T07:59:31.4191315Z  echo "." 2025-09-07T07:59:31.4191525Z  sleep 5 2025-09-07T07:59:31.4191725Z done 2025-09-07T07:59:31.4196842Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:31.4197153Z env: 2025-09-07T07:59:31.4197350Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:31.4197727Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:31.4198120Z DEVICE_NAME: 2025-09-07T07:59:31.4198321Z DEVICE_TYPE: 2025-09-07T07:59:31.4198509Z ##[endgroup] 2025-09-07T07:59:31.4217170Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T07:59:31.4286317Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:59:31.4286666Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:59:31.4286925Z # shellcheck disable=SC2046 2025-09-07T07:59:31.4287170Z docker stop $(docker ps -q) || true 2025-09-07T07:59:31.4287376Z # Prune all of the docker images 2025-09-07T07:59:31.4287580Z docker system prune -af 2025-09-07T07:59:31.4291490Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:31.4291717Z env: 2025-09-07T07:59:31.4291859Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:59:31.4292144Z DOCKER_CONTAINER_ID: eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:31.4292437Z DEVICE_NAME: 2025-09-07T07:59:31.4292594Z DEVICE_TYPE: 2025-09-07T07:59:31.4292735Z ##[endgroup] 2025-09-07T07:59:42.3815108Z eedce2fb01b3 2025-09-07T07:59:42.6596088Z Deleted Containers: 2025-09-07T07:59:42.6596410Z eedce2fb01b3aa40b2219518b45d5129f866d03684e566b14647e62efd03cff2 2025-09-07T07:59:42.6596618Z 2025-09-07T07:59:49.0132266Z Deleted Images: 2025-09-07T07:59:49.0132927Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:59:49.4831154Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:59:49.4845033Z http.https://github.com/.extraheader 2025-09-07T07:59:49.4851420Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T07:59:49.4873141Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:59:49.5115964Z Entering 'android/libs/fbjni' 2025-09-07T07:59:49.5141113Z http.https://github.com/.extraheader 2025-09-07T07:59:49.5166520Z Entering 'third_party/FP16' 2025-09-07T07:59:49.5194877Z http.https://github.com/.extraheader 2025-09-07T07:59:49.5220929Z Entering 'third_party/FXdiv' 2025-09-07T07:59:49.5250180Z 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'third_party/composable_kernel' 2025-09-07T07:59:49.5710803Z http.https://github.com/.extraheader 2025-09-07T07:59:49.5743667Z Entering 'third_party/cpp-httplib' 2025-09-07T07:59:49.5774239Z http.https://github.com/.extraheader 2025-09-07T07:59:49.5801758Z Entering 'third_party/cpuinfo' 2025-09-07T07:59:49.5829320Z http.https://github.com/.extraheader 2025-09-07T07:59:49.5857874Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:59:49.5885747Z http.https://github.com/.extraheader 2025-09-07T07:59:49.5911136Z Entering 'third_party/cutlass' 2025-09-07T07:59:49.5939482Z http.https://github.com/.extraheader 2025-09-07T07:59:49.5973822Z Entering 'third_party/fbgemm' 2025-09-07T07:59:49.6006841Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6034397Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:59:49.6062246Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6088934Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:59:49.6119656Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6152279Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:59:49.6184797Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6211620Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:59:49.6239278Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6270208Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:59:49.6300396Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6326872Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:59:49.6357561Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6384108Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:59:49.6413221Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6442420Z Entering 'third_party/flash-attention' 2025-09-07T07:59:49.6474174Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6501725Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:59:49.6528727Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6558347Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:59:49.6587076Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6621016Z Entering 'third_party/flatbuffers' 2025-09-07T07:59:49.6653468Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6683934Z Entering 'third_party/fmt' 2025-09-07T07:59:49.6712065Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6737102Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:59:49.6767777Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6793595Z Entering 'third_party/gloo' 2025-09-07T07:59:49.6823186Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6851196Z Entering 'third_party/googletest' 2025-09-07T07:59:49.6884353Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6910660Z Entering 'third_party/ideep' 2025-09-07T07:59:49.6941588Z http.https://github.com/.extraheader 2025-09-07T07:59:49.6968149Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:59:49.6997729Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7027948Z Entering 'third_party/ittapi' 2025-09-07T07:59:49.7058503Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7084775Z Entering 'third_party/kineto' 2025-09-07T07:59:49.7115479Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7143656Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:59:49.7173777Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7203190Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:59:49.7234447Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7264302Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:59:49.7295098Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7319991Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:59:49.7346317Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7371602Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:59:49.7401117Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7427874Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:59:49.7458519Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7488466Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:59:49.7521175Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7548160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:59:49.7580855Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7605999Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:59:49.7636181Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7666349Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:59:49.7697444Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7725393Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:59:49.7756782Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7784636Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:59:49.7810886Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7837726Z Entering 'third_party/kleidiai' 2025-09-07T07:59:49.7865070Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7891762Z Entering 'third_party/mimalloc' 2025-09-07T07:59:49.7920996Z http.https://github.com/.extraheader 2025-09-07T07:59:49.7947878Z Entering 'third_party/nlohmann' 2025-09-07T07:59:49.7978102Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8007603Z Entering 'third_party/onnx' 2025-09-07T07:59:49.8036976Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8077666Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:59:49.8107091Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8135179Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:59:49.8165410Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8196956Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:59:49.8227211Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8251200Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:59:49.8281774Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8307565Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:59:49.8336206Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8364830Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:59:49.8395308Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8421843Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:59:49.8449608Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8472631Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:59:49.8500583Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8525580Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:59:49.8553586Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8580362Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:59:49.8608782Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8636806Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:59:49.8668352Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8699328Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:59:49.8726033Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8766577Z Entering 'third_party/pocketfft' 2025-09-07T07:59:49.8795874Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8823906Z Entering 'third_party/protobuf' 2025-09-07T07:59:49.8852860Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8879594Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:59:49.8910008Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8935542Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:59:49.8964889Z http.https://github.com/.extraheader 2025-09-07T07:59:49.8994519Z Entering 'third_party/psimd' 2025-09-07T07:59:49.9025612Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9050917Z Entering 'third_party/pthreadpool' 2025-09-07T07:59:49.9082836Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9107898Z Entering 'third_party/pybind11' 2025-09-07T07:59:49.9136779Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9163253Z Entering 'third_party/python-peachpy' 2025-09-07T07:59:49.9193007Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9219660Z Entering 'third_party/sleef' 2025-09-07T07:59:49.9247729Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9273963Z Entering 'third_party/tensorpipe' 2025-09-07T07:59:49.9303441Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9332252Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:59:49.9361143Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9387023Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:59:49.9414354Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9439033Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:59:49.9471271Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9496741Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:59:49.9523413Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9549030Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:59:49.9580148Z http.https://github.com/.extraheader 2025-09-07T07:59:49.9676631Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T07:59:49.9689147Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T07:59:49.9692393Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:59:49.9692647Z ##[endgroup] 2025-09-07T07:59:49.9753189Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T07:59:57.2391516Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T08:00:09.6021620Z Cleaning up orphan processes